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    [1,"Africa","Angola","AO","AGO",24,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",11.848385,12.248901,12.657361,13.075044,13.503753,13.945205,14.400722,14.871572,15.3596,15.866871,16.395477,16.945753,17.519418,18.121477,18.758138,19.433604,20.149905,20.90536,21.695636,22.514275,23.356247,24.22066,25.107925,26.015786,26.941773,27.88438,28.842482,29.816769,30.809787,31.825299,32.866268,33.933611],
    [2,"Africa","Angola","AO","AGO",24,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",37.144,38.58,40.039,41.511,43,44.169,45.346,46.525,47.71,48.897,50.087,51.274,52.461,53.645,54.827,56,56.764,57.524,58.282,59.034,59.783,60.528,61.268,62.002,62.731,63.446,64.149,64.839,65.514,66.177,66.825,67.46],
    [3,"Africa","Angola","AO","AGO",24,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",62.856,61.42,59.961,58.489,57,55.831,54.654,53.475,52.29,51.103,49.913,48.726,47.539,46.355,45.173,44,43.236,42.476,41.718,40.966,40.217,39.472,38.732,37.998,37.269,36.554,35.851,35.161,34.486,33.823,33.175,32.54],
    [4,"Africa","Angola","AO","AGO",24,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",3.378411204,3.324464731,3.280272449,3.246643198,3.226227166,3.216807477,3.214262263,3.217312688,3.228921462,3.249266492,3.277215347,3.301173785,3.329262382,3.378794366,3.452987549,3.537604763,3.619584119,3.680601168,3.710554891,3.703841815,3.671493333,3.634150215,3.597754539,3.551997427,3.497447411,3.438869368,3.378269432,3.322158363,3.276144588,3.242914028,3.218530352,3.195915508],
    [5,"Africa","Angola","AO","AGO",24,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",26557.06182,26820.33773,25254.49112,19197.60109,19454.72674,22372.93576,25403.2089,27251.10877,28529.49819,29151.86626,30042.34624,31305.92688,35584.09742,36648.06193,40661.02471,46772.37672,52174.58623,59484.24577,66128.63602,66697.34229,69938.83312,72365.71063,78545.74232,82433.75657,86407.06363,87219.29003,84969.03235,84841.5788,83724.79883,83138.72524,78566.09535,79116.05802],
    [6,"Africa","Angola","AO","AGO",24,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",6.810853797,6.779325782,6.747797767,6.716269752,6.684741737,6.653213722,7.026869166,9.002017942,12.91118241,6.290256828,5.664689564,8.156377022,5.839549975,6.198384502,6.250877905,5.060402948,5.191280189,5.242278337,4.805339338,6.621196764,6.180293498,5.84568088,6.069629991,6.50749232,7.547056779,9.122534372,9.83116886,10.01699597,8.607741802,7.882624763,9.110107424,9.016303595],
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    [9,"Africa","Angola","AO","AGO",24,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",3.347783046,3.407482596,3.467182145,3.526881695,3.586581244,3.646280794,3.445749994,4.378391184,6.259370843,3.222875779,2.890163321,3.873100814,3.661825665,3.999814529,4.681938309,3.912883549,3.612815774,3.39949164,3.461736807,5.109421549,4.541774035,4.167804733,4.403289533,4.827342652,4.763071572,5.685144803,6.752680742,6.580549657,6.059469233,6.137445405,6.889123146,5.988255335],
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    [12,"Africa","Angola","AO","AGO",24,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",-3.450098685,0.991359302,-5.838280733,-23.98341744,1.339363436,15.00000003,13.54436976,7.274277355,4.691146451,2.181489718,3.054624234,4.205998556,13.66568876,2.99,10.95000001,15.02999999,11.55,14.01000001,11.16999999,0.860000002,4.859999999,3.470000001,8.540000003,4.949999998,4.819999999,0.939999999,-2.579999996,-0.15,-1.316312102,-0.699999998,-5.500000003,0.700000005],
    [13,"Africa","Angola","AO","AGO",24,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,71824.22789,null,null,null],
    [14,"Africa","Angola","AO","AGO",24,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,71824.22789,null,null,null],
    [15,"Africa","Angola","AO","AGO",24,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","Gwilliam, K., (2011). Africa�s Transport Infrastructure, Mainstreaming Maintenance and Management, World Bank. Available at: https://ppiaf.org/documents/3136/download","A",null,null,null,null,null,null,null,null,null,null,52,null,null,null,null,89,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [16,"Africa","Angola","AO","AGO",24,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,155.118185,null,null,null],
    [17,"Africa","Angola","AO","AGO",24,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016  ","A",451500,456000,440000,333500,519000,552500,585000,555000,552900,293800,235448,193317,189619,198253,222032,239795,262666,277361,283887,274869,1010194,987798,1132424,1321869,1335850,null,null,null,null,null,null,null],
    [18,"Africa","Angola","AO","AGO",24,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3877.1711,4291.55533,null,null,null],
    [19,"Africa","Angola","AO","AGO",24,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,8029.911878,null,null,null],
    [20,"Africa","Angola","AO","AGO",24,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1814.86639,null,null,null],
    [21,"Africa","Angola","AO","AGO",24,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1814.86639,null,null,null],
    [22,"Africa","Angola","AO","AGO",24,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",39.90000153,41.5,41.5,28.79999924,55.5,58.29999924,62.20000076,41.5,38,51.79999924,60.611,50.818,51.298,56.455,63.692,68.112,80.997,72.888,70.934,64.323,47.908,50.973,70.977,70.431,65.517,46.043,43.940435,67.32035,78.15964,68.04358,28.89977,31.03638],
    [23,"Africa","Angola","AO","AGO",24,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,67.32035,78.15964,null,null,null],
    [24,"Africa","Angola","AO","AGO",24,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",39.9,41.5,41.5,28.8,55.5,58.3,62.2,41.5,38,51.8,60.61,50.82,51.3,56.46,63.69,68.11,81,72.89,70.93,64.32,47.91,50.79,70.98,70.43,78.38,null,null,null,null,null,null,null],
    [25,"Africa","Angola","AO","AGO",24,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.000286,null,null,null],
    [26,"Africa","Angola","AO","AGO",24,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","OICA, (2022). Vehicles in use. Available at: www.oica.net/category/vehicles-in-use/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,332000,335000,490000,690000,700000,720000,740000,770000,800000,840000,880000,null,null,null,null,null,null],
    [27,"Africa","Angola","AO","AGO",24,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [28,"Africa","Angola","AO","AGO",24,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [29,"Africa","Angola","AO","AGO",24,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [30,"Africa","Angola","AO","AGO",24,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIV_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [31,"Africa","Angola","AO","AGO",24,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [32,"Africa","Angola","AO","AGO",24,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [33,"Africa","Angola","AO","AGO",24,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [34,"Africa","Angola","AO","AGO",24,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [35,"Africa","Burundi","BI","BDI",108,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",5.438959,5.564923,5.685569,5.798054,5.898964,5.987044,6.06011,6.12213,6.185564,6.267132,6.378871,6.525546,6.704118,6.909161,7.131688,7.364857,7.60785,7.862226,8.126104,8.397661,8.675606,8.958406,9.245992,9.540302,9.844301,10.160034,10.488002,10.82701,11.175379,11.530577,11.890781,12.255429],
    [36,"Africa","Burundi","BI","BDI",108,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",6.271,6.455,6.637,6.823,7.014,7.211,7.412,7.618,7.83,8.036,8.246,8.461,8.682,8.908,9.139,9.375,9.617,9.864,10.118,10.376,10.642,10.915,11.194,11.482,11.776,12.078,12.388,12.706,13.032,13.366,13.708,14.058],
    [37,"Africa","Burundi","BI","BDI",108,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",93.729,93.545,93.363,93.177,92.986,92.789,92.588,92.382,92.17,91.964,91.754,91.539,91.318,91.092,90.861,90.625,90.383,90.136,89.882,89.624,89.358,89.085,88.806,88.518,88.224,87.922,87.612,87.294,86.968,86.634,86.292,85.942],
    [38,"Africa","Burundi","BI","BDI",108,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",2.45479768,2.289546589,2.144806199,1.959113387,1.725439826,1.48210589,1.213015056,1.018212346,1.030811486,1.310064368,1.767228872,2.273350542,2.699733659,3.012624772,3.169974038,3.217168102,3.246097539,3.288916349,3.301182346,3.287161878,3.256196461,3.207713007,3.159785095,3.133498082,3.136756792,3.156907954,3.177014855,3.181200079,3.166911697,3.128932148,3.07610176,3.020562849],
    [39,"Africa","Burundi","BI","BDI",108,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",2385.839042,2505.055517,2530.356537,2372.462289,2281.596983,2100.894502,1932.822942,1902.091057,1992.440382,1972.316735,1955.416661,1995.616256,2084.35172,2058.844926,2158.362443,2177.787705,2295.688932,2374.935023,2490.397547,2585.350104,2717.827523,2827.426635,2953.153994,3098.572905,3229.972543,3104.003611,3085.379562,3100.806498,3150.72748,3207.836474,3218.331132,3276.109831],
    [40,"Africa","Burundi","BI","BDI",108,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",51.05685018,48.59791032,48.00452171,47.16981169,40.73232545,42.02269313,53.38092151,42.42186415,44.53870405,47.63530413,44.10704011,43.84314206,43.33361124,42.8412837,41.90260497,40.84812339,40.63768227,34.93417192,38.0048233,36.72136414,38.43054529,36.704576,35.42003257,38.36740004,34.95819234,30.6846973,31.54433613,28.54664701,29.01190049,28.84439005,28.62494556,28.66021865],
    [41,"Africa","Burundi","BI","BDI",108,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E",4.71206979,5.115212665,6.904909257,7.351361094,7.715182201,7.085959045,4.074382364,5.087238361,3.885640705,1.781053982,4.287576469,3.411142405,3.357902324,4.09637222,4.222208276,4.417402445,4.430948927,4.679199572,4.683733976,5.316260774,5.124163622,5.327426725,5.633270222,5.354334781,5.263258284,3.755704317,3.806954292,4.287379231,4.239937788,4.759657079,5.65015228,5.897878949],
    [42,"Africa","Burundi","BI","BDI",108,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",4.71206979,5.115212665,6.904909257,7.351361094,7.715182201,7.085959045,4.074382364,5.087238361,3.885640705,1.781053982,4.287576469,3.411142405,3.357902324,4.09637222,4.222208276,4.417402445,4.430948927,4.679199572,4.683733976,5.316260774,5.124163622,5.327426725,5.633270222,5.354334781,5.263258284,3.755704317,3.806954292,4.287379231,4.239937788,4.759657079,5.65015228,5.897878949],
    [43,"Africa","Burundi","BI","BDI",108,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",11.81980421,12.70795383,8.599290936,8.424747763,9.351748292,8.25845974,6.271379704,9.744337923,10.30614795,11.30813911,10.90123278,10.92481796,11.0867341,11.04303804,11.45083317,11.8850166,10.3672036,11.10936178,9.622533997,9.490401363,9.245838979,9.318993014,8.830567739,9.54581996,10.12420983,8.676553788,9.36171645,9.257509683,9.153302916,9.049096148,8.944889381,8.840682614],
    [44,"Africa","Burundi","BI","BDI",108,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",22.98713624,23.34849786,22.68145959,22.35135726,26.77037965,28.46097,28.12455169,32.57208285,33.49822589,35.71339482,32.1289977,34.99861277,35.50594768,33.8265616,33.97993703,34.01465267,35.70226735,39.91886758,38.32144077,37.83945218,36.95112487,37.99415081,38.84958902,36.02377566,39.12782297,49.37163596,47.67308455,49.33370562,49.11498323,47.82754257,45.47970822,44.80546189],
    [45,"Africa","Burundi","BI","BDI",108,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E",4.71206979,5.115212665,6.904909257,7.351361094,7.715182201,7.085959045,4.074382364,5.087238361,3.885640705,1.781053982,4.287576469,3.411142405,3.357902324,4.09637222,4.222208276,4.417402445,4.430948927,4.679199572,4.683733976,5.316260774,5.124163622,5.327426725,5.633270222,5.354334781,5.263258284,3.755704317,3.806954292,4.287379231,4.239937788,4.759657079,5.65015228,5.897878949],
    [46,"Africa","Burundi","BI","BDI",108,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",3.499822136,4.996836448,1.009998371,-6.240000001,-3.829999996,-7.920000004,-7.999999998,-1.589999997,4.749999995,-1.009999996,-0.856864058,2.055807108,4.446519412,-1.22372796,4.833657768,0.900000001,5.413807145,3.45195249,4.861712995,3.812746937,5.124157796,4.032599988,4.446706331,4.924189898,4.240650214,-3.90000008,-0.600000909,0.500001262,1.609935421,1.812565324,0.327156893,1.795299998],
    [47,"Africa","Burundi","BI","BDI",108,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3569.962077,5290.383333,null,null],
    [48,"Africa","Burundi","BI","BDI",108,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,18.337395,76.48333333,null,null],
    [49,"Africa","Burundi","BI","BDI",108,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,621.98,1156.2,null,null],
    [50,"Africa","Burundi","BI","BDI",108,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,38181,43620,53139,60601,32892,30613,null],
    [51,"Africa","Burundi","BI","BDI",108,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7856,9354,4697,11623,15412,19118,null],
    [52,"Africa","Burundi","BI","BDI",108,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,23420,25612,36993,31651,null,null,null],
    [53,"Africa","Burundi","BI","BDI",108,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3833,4645,4609,4444,3350,3600,null],
    [54,"Africa","Burundi","BI","BDI",108,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3036,3973,6804,12883,14130,7895,null],
    [55,"Africa","Burundi","BI","BDI",108,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,36,36,36,null,null,null,null],
    [56,"Africa","Burundi","BI","BDI",108,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [57,"Africa","Burundi","BI","BDI",108,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [58,"Africa","Burundi","BI","BDI",108,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [59,"Africa","Burundi","BI","BDI",108,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [60,"Africa","Burundi","BI","BDI",108,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [61,"Africa","Burundi","BI","BDI",108,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [62,"Africa","Burundi","BI","BDI",108,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [63,"Africa","Burundi","BI","BDI",108,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [64,"Africa","Benin","BJ","BEN",204,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",4.978489,5.149496,5.331805,5.521761,5.714215,5.905552,6.094272,6.281644,6.470275,6.664102,6.865946,7.076728,7.2954,7.520556,7.750003,7.982223,8.216893,8.45479,8.696915,8.944713,9.199254,9.460829,9.729254,10.004594,10.286839,10.575962,10.872072,11.175192,11.485035,11.801151,12.123198,12.451031],
    [65,"Africa","Benin","BJ","BEN",204,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",34.485,35.247,35.827,36.136,36.447,36.758,37.071,37.385,37.699,38.015,38.333,38.65,39.036,39.536,40.039,40.543,41.049,41.558,42.069,42.58,43.093,43.608,44.125,44.642,45.166,45.695,46.229,46.768,47.312,47.861,48.415,48.972],
    [66,"Africa","Benin","BJ","BEN",204,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",65.515,64.753,64.173,63.864,63.553,63.242,62.929,62.615,62.301,61.985,61.667,61.35,60.964,60.464,59.961,59.457,58.951,58.442,57.931,57.42,56.907,56.392,55.875,55.358,54.834,54.305,53.771,53.232,52.688,52.139,51.585,51.028],
    [67,"Africa","Benin","BJ","BEN",204,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",3.234835391,3.377241447,3.47909842,3.500700115,3.426009883,3.29359954,3.145638825,3.028241603,2.958688181,2.95165994,2.983861929,3.023782383,3.043235856,3.039605885,3.005315906,2.952371363,2.897521298,2.854098759,2.823522041,2.809426641,2.805976233,2.803761755,2.797721181,2.790716434,2.78209237,2.771837886,2.761360928,2.749902222,2.734856203,2.71521855,2.692373813,2.668262351],
    [68,"Africa","Benin","BJ","BEN",204,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",3958.255477,4125.523414,4247.544467,4495.438471,4586.26433,4863.51312,5073.825241,5364.793307,5577.293421,5875.201726,6219.354252,6551.040854,6855.207703,7091.272043,7405.393026,7532.259595,7829.312241,8298.002222,8704.320297,8906.198913,9094.481723,9364.01969,9814.543589,10520.34999,11189.20008,11388.16096,11768.48834,12435.94469,13268.81217,14179.80733,14725.55867,15697.44569],
    [69,"Africa","Benin","BJ","BEN",204,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",34.65494536,35.0437735,33.94190414,34.1194608,32.29399457,33.09015959,35.70530039,35.78193016,36.57664979,24.53433491,23.54123399,25.04816274,25.38272928,24.45398374,26.52084928,26.6894285,26.63180343,26.97108697,26.82615619,26.97895538,25.8411355,25.79700083,25.76897583,25.27540464,25.61845297,26.39208509,27.7536355,28.48901653,28.06477391,26.87580163,27.10917504,27.13715814],
    [70,"Africa","Benin","BJ","BEN",204,"GDP","Construction","..","..","..","GDP_CON","%","n/a","A, E",1.692459394,1.607408073,1.595404091,1.596951325,1.761173329,1.771646535,1.663930629,1.684042909,1.526452435,9.601867716,9.052081712,7.239450663,7.728221293,7.531281914,7.25780461,6.540320447,6.230657407,6.092377385,5.707017983,5.570548534,5.957179815,5.163397163,4.882249093,4.794021521,4.822122399,4.777115978,4.703966417,4.496645333,4.657561751,5.077216199,5.101859922,5.005962554],
    [71,"Africa","Benin","BJ","BEN",204,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","A, E",1.692459394,1.607408073,1.595404091,1.596951325,1.761173329,1.771646535,1.663930629,1.684042909,1.526452435,9.601867716,9.052081712,7.239450663,7.728221293,7.531281914,7.25780461,6.540320447,6.230657407,6.092377385,5.707017983,5.570548534,5.957179815,5.163397163,4.882249093,4.794021521,4.822122399,4.777115978,4.703966417,4.496645333,4.657561751,5.077216199,5.101859922,5.005962554],
    [72,"Africa","Benin","BJ","BEN",204,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",7.376006869,7.160406202,7.941468232,7.426247821,8.05454443,8.077371806,8.275149107,8.468579033,7.987113987,13.16999002,13.98385772,15.63826572,15.64299615,15.74663839,14.80842935,15.67081858,15.43835004,13.7419113,12.24997876,12.21912052,11.73988533,11.73357014,10.71215569,10.9217699,10.38662818,10.03567008,9.93126564,9.62006825,9.162461995,9.86572844,9.687913103,9.289052738],
    [73,"Africa","Benin","BJ","BEN",204,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",52.89166958,52.97359608,53.33041536,53.6634374,54.36794101,53.517529,51.02775862,50.69736208,50.85687892,33.49007192,35.31866315,37.59521955,35.78961069,37.20553213,36.89730754,38.01879158,39.23787431,41.00986958,43.8028111,44.09027851,44.54743973,46.97923755,48.8721212,49.4207609,49.52855165,49.2408969,48.20319961,48.40097922,48.80007884,48.02682134,47.89733209,48.55590146],
    [74,"Africa","Benin","BJ","BEN",204,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","A, E",1.692459394,1.607408073,1.595404091,0,1.761173329,1.771646535,0,1.684042909,0,9.601867716,9.052081712,7.239450663,7.728221293,7.531281914,7.25780461,6.540320447,6.230657407,6.092377385,5.707017983,5.570548534,5.957179815,5.163397163,4.882249093,4.794021521,4.822122399,4.777115978,4.703966417,4.496645333,4.657561751,5.077216199,5.101859922,5.005962554],
    [75,"Africa","Benin","BJ","BEN",204,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",8.97613436,4.225799421,2.957710827,5.836172085,2.020400448,6.04519865,4.324284031,5.734688375,3.961012138,5.341449372,5.857714205,5.333135706,4.643030871,3.443576776,4.429684554,1.713164564,3.943738828,5.986349322,4.896577084,2.319292139,2.114064726,2.963752919,4.811223316,7.191433721,6.357679098,1.77815106,3.339673426,5.671555469,6.697259461,6.865687336,3.8487924,6.600001011],
    [76,"Africa","Benin","BJ","BEN",204,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,10722.22953,null,null,null],
    [77,"Africa","Benin","BJ","BEN",204,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UIC (2023). International Railway Statistics, Traffic on the national Territory - PKm, VAR 5113, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,66,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [78,"Africa","Benin","BJ","BEN",204,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","The World Bank (2023). Railways, passengers carried (million passenger-km). Available at: https://data.worldbank.org/indicator/IS.RRS.PASG.KM","A",null,null,null,null,null,null,118,120,112,108,null,null,null,66,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [79,"Africa","Benin","BJ","BEN",204,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.005624,null,null,null],
    [80,"Africa","Benin","BJ","BEN",204,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2165.217947,null,null,null],
    [81,"Africa","Benin","BJ","BEN",204,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","The World Bank (2023). Railways, goods transported (million ton-km). Available at: https://data.worldbank.org/indicator/IS.RRS.GOOD.MT.K6","A",null,null,null,null,null,null,178,218,219,155,89,94,89,86,45,24,36,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [82,"Africa","Benin","BJ","BEN",204,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UIC (2023). International Railway Statistics, Global Traffic -Domestic traffic in millions of tonne kilometres, VAR 6757, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,86,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [83,"Africa","Benin","BJ","BEN",204,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,976.706931,null,null,null],
    [84,"Africa","Benin","BJ","BEN",204,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,36,36,36,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [85,"Africa","Benin","BJ","BEN",204,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",17.70000076,16.10000038,15.19999981,14.19999981,14.39999962,15.30000019,16.39999962,15.30000019,13.5,13.69999981,12.273,7.364,null,null,null,null,null,null,null,null,0,0.441834952,0.441834952,1.265124,0.553884,0.805347336,0.006442778,null,null,null,null,null],
    [86,"Africa","Benin","BJ","BEN",204,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",17.7,16.1,15.2,14.2,14.4,15.3,16.4,15.3,13.5,13.7,12.27,7.36,null,null,null,null,null,null,null,null,0,0.44,0.44,1.27,0.55,null,null,null,null,null,null,null],
    [87,"Africa","Benin","BJ","BEN",204,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,86559,226410,142096,197685,217590,null,null],
    [88,"Africa","Benin","BJ","BEN",204,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","Direction de la Programmation et de la Prospective (2014). Annuaire Statistique des Transports 2001-2008. Available at: https://transports.bj/wp-content/uploads/2018/03/Annuaire_Statistique_TPT_2001_2008_VF.pdf; Ministere du Plan et du Developpement (2019). Tableau de Bord Social 2015. Available at: https://instad.bj/images/docs/insae-statistiques/sociales/Tableau%20de%20Bord%20Social/Tableau%20de%20Bord%20Social%202015.pdf; Ministere des Infrastructures et des Transports (2017). Annuire Statistique 2013-2016. Available at: https://transports.bj/wp-content/uploads/2018/03/Annuaire_Statistique_TPT_2013_2016_VF.pdf; Institut National de la Statistique et de l�Analyse Economique (2019). Annuaire Statistique 2019. Availablet at: https://instad.bj/images/docs/insae-publications/annuelles/AS-INSAE/Annee_2019/Annuaire_Statistique_National_2019.pdf","A",null,null,null,null,null,null,null,null,null,null,null,35651,24198,22128,26366,21636,19669,19689,26504,27014,25613,26881,23728,34914,112389,124464,74855,142117,197729,219118,null,null],
    [89,"Africa","Benin","BJ","BEN",204,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,50549,189135,117498,173344,192933,null,null],
    [90,"Africa","Benin","BJ","BEN",204,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","Direction de la Programmation et de la Prospective (2014). Annuaire Statistique des Transports 2001-2008. Available at: https://transports.bj/wp-content/uploads/2018/03/Annuaire_Statistique_TPT_2001_2008_VF.pdf; Ministere du Plan et du Developpement (2019). Tableau de Bord Social 2015. Available at: https://instad.bj/images/docs/insae-statistiques/sociales/Tableau%20de%20Bord%20Social/Tableau%20de%20Bord%20Social%202015.pdf; Ministere des Infrastructures et des Transports (2017). Annuire Statistique 2013-2016. Available at: https://transports.bj/wp-content/uploads/2018/03/Annuaire_Statistique_TPT_2013_2016_VF.pdf; Institut National de la Statistique et de l�Analyse Economique (2019). Annuaire Statistique 2019. Availablet at: https://instad.bj/images/docs/insae-publications/annuelles/AS-INSAE/Annee_2019/Annuaire_Statistique_National_2019.pdf","A",null,null,null,null,null,null,null,null,null,null,null,1426,1427,1224,2190,2042,1825,2170,2559,1623,1155,1054,708,828,69771,77766,37559,117498,173344,192933,null,null],
    [91,"Africa","Benin","BJ","BEN",204,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,28730,31229,20529,19374,19119,null,null],
    [92,"Africa","Benin","BJ","BEN",204,"Vehicle stock","Road","Minibus","All","All","ROAD_EQS_MINIBU","n","Direction de la Programmation et de la Prospective (2014). Annuaire Statistique des Transports 2001-2008. Available at: https://transports.bj/wp-content/uploads/2018/03/Annuaire_Statistique_TPT_2001_2008_VF.pdf; Ministere du Plan et du Developpement (2019). Tableau de Bord Social 2015. Available at: https://instad.bj/images/docs/insae-statistiques/sociales/Tableau%20de%20Bord%20Social/Tableau%20de%20Bord%20Social%202015.pdf; Ministere des Infrastructures et des Transports (2017). Annuire Statistique 2013-2016. Available at: https://transports.bj/wp-content/uploads/2018/03/Annuaire_Statistique_TPT_2013_2016_VF.pdf; Institut National de la Statistique et de l�Analyse Economique (2019). Annuaire Statistique 2019. Availablet at: https://instad.bj/images/docs/insae-publications/annuelles/AS-INSAE/Annee_2019/Annuaire_Statistique_National_2019.pdf","A",null,null,null,null,null,null,null,null,null,null,null,646,642,812,911,717,335,657,816,964,927,1005,941,1226,1399,1183,758,350,478,384,null,null],
    [93,"Africa","Benin","BJ","BEN",204,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1183,780,363,521,424,null,null],
    [94,"Africa","Benin","BJ","BEN",204,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","Direction de la Programmation et de la Prospective (2014). Annuaire Statistique des Transports 2001-2008. Available at: https://transports.bj/wp-content/uploads/2018/03/Annuaire_Statistique_TPT_2001_2008_VF.pdf; Ministere du Plan et du Developpement (2019). Tableau de Bord Social 2015. Available at: https://instad.bj/images/docs/insae-statistiques/sociales/Tableau%20de%20Bord%20Social/Tableau%20de%20Bord%20Social%202015.pdf; Ministere des Infrastructures et des Transports (2017). Annuire Statistique 2013-2016. Available at: https://transports.bj/wp-content/uploads/2018/03/Annuaire_Statistique_TPT_2013_2016_VF.pdf; Institut National de la Statistique et de l�Analyse Economique (2019). Annuaire Statistique 2019. Availablet at: https://instad.bj/images/docs/insae-publications/annuelles/AS-INSAE/Annee_2019/Annuaire_Statistique_National_2019.pdf","A",null,null,null,null,null,null,null,null,null,null,null,82,51,38,41,43,47,41,45,52,17,14,34,52,24,13,22,13,43,40,null,null],
    [95,"Africa","Benin","BJ","BEN",204,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3841,3627,2573,3137,2901,null,null],
    [96,"Africa","Benin","BJ","BEN",204,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","Direction de la Programmation et de la Prospective (2014). Annuaire Statistique des Transports 2001-2008. Available at: https://transports.bj/wp-content/uploads/2018/03/Annuaire_Statistique_TPT_2001_2008_VF.pdf; Ministere du Plan et du Developpement (2019). Tableau de Bord Social 2015. Available at: https://instad.bj/images/docs/insae-statistiques/sociales/Tableau%20de%20Bord%20Social/Tableau%20de%20Bord%20Social%202015.pdf; Ministere des Infrastructures et des Transports (2017). Annuire Statistique 2013-2016. Available at: https://transports.bj/wp-content/uploads/2018/03/Annuaire_Statistique_TPT_2013_2016_VF.pdf; Institut National de la Statistique et de l�Analyse Economique (2019). Annuaire Statistique 2019. Availablet at: https://instad.bj/images/docs/insae-publications/annuelles/AS-INSAE/Annee_2019/Annuaire_Statistique_National_2019.pdf","A, E",null,null,null,null,null,null,null,null,null,null,null,4241,3953,3406,3739,3020,2516,1639,3456,3916,3580,3735,3236,4810,5704,5822,3627,2573,3137,2901,null,null],
    [97,"Africa","Benin","BJ","BEN",204,"Vehicle stock","Road","Medium-duty vehicle","All","All","ROAD_EQS_MDV","n","Direction de la Programmation et de la Prospective (2014). Annuaire Statistique des Transports 2001-2008. Available at: https://transports.bj/wp-content/uploads/2018/03/Annuaire_Statistique_TPT_2001_2008_VF.pdf; Ministere du Plan et du Developpement (2019). Tableau de Bord Social 2015. Available at: https://instad.bj/images/docs/insae-statistiques/sociales/Tableau%20de%20Bord%20Social/Tableau%20de%20Bord%20Social%202015.pdf; Ministere des Infrastructures et des Transports (2017). Annuire Statistique 2013-2016. Available at: https://transports.bj/wp-content/uploads/2018/03/Annuaire_Statistique_TPT_2013_2016_VF.pdf; Institut National de la Statistique et de l�Analyse Economique (2019). Annuaire Statistique 2019. Availablet at: https://instad.bj/images/docs/insae-publications/annuelles/AS-INSAE/Annee_2019/Annuaire_Statistique_National_2019.pdf","A",null,null,null,null,null,null,null,null,null,null,null,1377,18,23,22,12,12,16,14,7,0,1,0,3,5,515,92,63,70,37,null,null],
    [98,"Africa","Benin","BJ","BEN",204,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2256,1639,1133,1309,2213,null,null],
    [99,"Africa","Benin","BJ","BEN",204,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","Direction de la Programmation et de la Prospective (2014). Annuaire Statistique des Transports 2001-2008. Available at: https://transports.bj/wp-content/uploads/2018/03/Annuaire_Statistique_TPT_2001_2008_VF.pdf; Ministere du Plan et du Developpement (2019). Tableau de Bord Social 2015. Available at: https://instad.bj/images/docs/insae-statistiques/sociales/Tableau%20de%20Bord%20Social/Tableau%20de%20Bord%20Social%202015.pdf; Ministere des Infrastructures et des Transports (2017). Annuire Statistique 2013-2016. Available at: https://transports.bj/wp-content/uploads/2018/03/Annuaire_Statistique_TPT_2013_2016_VF.pdf; Institut National de la Statistique et de l�Analyse Economique (2019). Annuaire Statistique 2019. Availablet at: https://instad.bj/images/docs/insae-publications/annuelles/AS-INSAE/Annee_2019/Annuaire_Statistique_National_2019.pdf","A",null,null,null,null,null,null,null,null,null,null,null,287,367,339,169,235,272,255,277,163,69,55,63,45,82,1954,297,175,222,1031,null,null],
    [100,"Africa","Benin","BJ","BEN",204,"Vehicle stock","Road","Trailer","All","All","ROAD_EQS_TRAILE","n","Direction de la Programmation et de la Prospective (2014). Annuaire Statistique des Transports 2001-2008. Available at: https://transports.bj/wp-content/uploads/2018/03/Annuaire_Statistique_TPT_2001_2008_VF.pdf; Ministere du Plan et du Developpement (2019). Tableau de Bord Social 2015. Available at: https://instad.bj/images/docs/insae-statistiques/sociales/Tableau%20de%20Bord%20Social/Tableau%20de%20Bord%20Social%202015.pdf; Ministere des Infrastructures et des Transports (2017). Annuire Statistique 2013-2016. Available at: https://transports.bj/wp-content/uploads/2018/03/Annuaire_Statistique_TPT_2013_2016_VF.pdf; Institut National de la Statistique et de l�Analyse Economique (2019). Annuaire Statistique 2019. Availablet at: https://instad.bj/images/docs/insae-publications/annuelles/AS-INSAE/Annee_2019/Annuaire_Statistique_National_2019.pdf","A",null,null,null,null,null,null,null,null,null,null,null,1088,870,842,1034,741,693,841,1042,1134,1190,984,852,1467,2235,2031,1250,895,1017,1145,null,null],
    [101,"Africa","Benin","BJ","BEN",204,"Vehicle stock","Road","Agricultural and forestry tractors","All","All","ROAD_EQS_TRACTO","n","Direction de la Programmation et de la Prospective (2014). Annuaire Statistique des Transports 2001-2008. Available at: https://transports.bj/wp-content/uploads/2018/03/Annuaire_Statistique_TPT_2001_2008_VF.pdf; Ministere du Plan et du Developpement (2019). Tableau de Bord Social 2015. Available at: https://instad.bj/images/docs/insae-statistiques/sociales/Tableau%20de%20Bord%20Social/Tableau%20de%20Bord%20Social%202015.pdf; Ministere des Infrastructures et des Transports (2017). Annuire Statistique 2013-2016. Available at: https://transports.bj/wp-content/uploads/2018/03/Annuaire_Statistique_TPT_2013_2016_VF.pdf; Institut National de la Statistique et de l�Analyse Economique (2019). Annuaire Statistique 2019. Availablet at: https://instad.bj/images/docs/insae-publications/annuelles/AS-INSAE/Annee_2019/Annuaire_Statistique_National_2019.pdf","A",null,null,null,null,null,null,null,null,null,null,null,1062,1061,863,862,656,765,917,1123,1390,1415,38,91,858,1430,1715,13,21,44,10,null,null],
    [102,"Africa","Benin","BJ","BEN",204,"Vehicle stock","Road","Special purpose vehicle","All","All","ROAD_EQS_SPECIA","n","Direction de la Programmation et de la Prospective (2014). Annuaire Statistique des Transports 2001-2008. Available at: https://transports.bj/wp-content/uploads/2018/03/Annuaire_Statistique_TPT_2001_2008_VF.pdf; Ministere du Plan et du Developpement (2019). Tableau de Bord Social 2015. Available at: https://instad.bj/images/docs/insae-statistiques/sociales/Tableau%20de%20Bord%20Social/Tableau%20de%20Bord%20Social%202015.pdf; Ministere des Infrastructures et des Transports (2017). Annuire Statistique 2013-2016. Available at: https://transports.bj/wp-content/uploads/2018/03/Annuaire_Statistique_TPT_2013_2016_VF.pdf; Institut National de la Statistique et de l�Analyse Economique (2019). Annuaire Statistique 2019. Availablet at: https://instad.bj/images/docs/insae-publications/annuelles/AS-INSAE/Annee_2019/Annuaire_Statistique_National_2019.pdf","A",null,null,null,null,null,null,null,null,null,null,null,19,27,158,646,381,28,44,22,48,79,1323,1184,1118,1546,4419,8,0,0,1518,null,null],
    [103,"Africa","Benin","BJ","BEN",204,"Vehicle stock","Road","Private","All","All","ROAD_EQS_PRIVAT","n","Direction de la Programmation et de la Prospective (2014). Annuaire Statistique des Transports 2001-2008. Available at: https://transports.bj/wp-content/uploads/2018/03/Annuaire_Statistique_TPT_2001_2008_VF.pdf; Ministere du Plan et du Developpement (2019). Tableau de Bord Social 2015. Available at: https://instad.bj/images/docs/insae-statistiques/sociales/Tableau%20de%20Bord%20Social/Tableau%20de%20Bord%20Social%202015.pdf; Ministere des Infrastructures et des Transports (2017). Annuire Statistique 2013-2016. Available at: https://transports.bj/wp-content/uploads/2018/03/Annuaire_Statistique_TPT_2013_2016_VF.pdf; Institut National de la Statistique et de l�Analyse Economique (2019). Annuaire Statistique 2019. Availablet at: https://instad.bj/images/docs/insae-publications/annuelles/AS-INSAE/Annee_2019/Annuaire_Statistique_National_2019.pdf","A",null,null,null,null,null,null,null,null,null,null,null,25423,15782,14423,16752,13789,13176,13109,17150,17717,17181,18672,16619,24507,30193,29046,31229,20529,19374,19119,null,null],
    [104,"Africa","Benin","BJ","BEN",204,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [105,"Africa","Benin","BJ","BEN",204,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [106,"Africa","Benin","BJ","BEN",204,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [107,"Africa","Benin","BJ","BEN",204,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [108,"Africa","Benin","BJ","BEN",204,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [109,"Africa","Benin","BJ","BEN",204,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [110,"Africa","Benin","BJ","BEN",204,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [111,"Africa","Benin","BJ","BEN",204,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [112,"Africa","Burkina Faso","BF","BFA",854,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",8.811033,9.050086,9.29711,9.552473,9.816584,10.08988,10.372734,10.665552,10.968722,11.282696,11.607951,11.944589,12.293097,12.654624,13.030576,13.421935,13.829173,14.252029,14.689725,15.141098,15.605211,16.081915,16.571252,17.072791,17.586029,18.110616,18.64635,19.193236,19.751466,20.321383,20.903278,21.497097],
    [113,"Africa","Burkina Faso","BF","BFA",854,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",13.815,14.07,14.33,14.593,14.86,15.131,15.407,15.875,16.51,17.166,17.844,18.54,19.258,19.996,20.757,21.537,22.339,22.996,23.534,24.079,24.633,25.196,25.767,26.346,26.934,27.53,28.134,28.743,29.358,29.98,30.607,31.24],
    [114,"Africa","Burkina Faso","BF","BFA",854,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",86.185,85.93,85.67,85.407,85.14,84.869,84.593,84.125,83.49,82.834,82.156,81.46,80.742,80.004,79.243,78.463,77.661,77.004,76.466,75.921,75.367,74.804,74.233,73.654,73.066,72.47,71.866,71.257,70.642,70.02,69.393,68.76],
    [115,"Africa","Burkina Faso","BF","BFA",854,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",2.659198504,2.676957423,2.692933875,2.709647467,2.727312649,2.745974099,2.764769129,2.783847605,2.802865929,2.822245665,2.842006974,2.858807814,2.875951284,2.898479666,2.927591386,2.959171309,2.989003742,3.01189362,3.024898725,3.02644987,3.019212844,3.009045176,2.997403812,2.981663984,2.961875333,2.939350568,2.915213081,2.890750882,2.866979114,2.844596498,2.823230736,2.801191398],
    [116,"Africa","Burkina Faso","BF","BFA",854,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",3042.310097,3318.24715,3325.969068,3441.093661,3486.344293,3685.636767,4091.600216,4350.05984,4667.950017,5013.156021,5107.828164,5445.629565,5682.67585,6126.066286,6400.419233,6954.815433,7389.711496,7693.530544,8139.75468,8380.850213,9088.720421,9690.626622,10315.93101,10913.49007,11385.69993,11832.15928,12537.11657,13314.85527,14194.24408,15001.62903,15291.20921,16347.27236],
    [117,"Africa","Burkina Faso","BF","BFA",854,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",27.95002227,29.79326533,28.80981128,30.23105157,32.94777027,33.21721709,36.37917327,33.7387787,36.56355608,27.25228666,24.91403646,26.92043043,26.37244848,25.96097682,23.38143845,26.77091903,25.22897616,21.83948741,27.31428025,23.20484713,24.14338662,23.04365045,23.75600502,23.64109279,23.69377277,22.63307521,21.71471783,20.58558722,20.99747328,18.37610291,18.39807893,17.83988959],
    [118,"Africa","Burkina Faso","BF","BFA",854,"GDP","Construction","..","..","..","GDP_CON","%","n/a","A, E",3.236121439,3.490431032,3.436883345,3.088006402,4.736884191,4.376398722,4.258923408,4.523737446,3.882799185,4.203279439,3.995297468,3.915050103,4.058911047,4.512266202,5.000119465,5.112943606,4.529507359,5.214618065,4.868409638,5.785813179,7.198633324,8.260528469,8.527614971,8.210069542,7.604751852,7.221261023,7.786339112,8.395680994,8.308836806,8.911538602,10.491084,10.84962669],
    [119,"Africa","Burkina Faso","BF","BFA",854,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","A, E",3.236121439,3.490431032,3.436883345,3.088006402,4.736884191,4.376398722,4.258923408,4.523737446,3.882799185,4.203279439,3.995297468,3.915050103,4.058911047,4.512266202,5.000119465,5.112943606,4.529507359,5.214618065,4.868409638,5.785813179,7.198633324,8.260528469,8.527614971,8.210069542,7.604751852,7.221261023,7.786339112,8.395680994,8.308836806,8.911538602,10.491084,10.84962669],
    [120,"Africa","Burkina Faso","BF","BFA",854,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",14.74901604,13.37681884,14.4729992,14.22732497,13.44792003,14.12076303,13.36918434,14.35668427,13.80052706,16.18659107,15.35693878,14.94120267,14.85118409,15.5877483,15.14056675,13.34076102,14.04397353,14.33772427,13.01313874,13.54798244,12.13998855,11.61215726,10.34232902,10.16977155,10.99604254,11.62132749,11.12043816,10.25938621,10.52520365,10.01852791,9.302578012,9.033365811],
    [121,"Africa","Burkina Faso","BF","BFA",854,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",47.59259737,46.35862274,46.40653949,46.27760426,39.39365713,39.53282371,37.47487217,38.3333247,37.98751931,43.95128396,47.74313235,46.39321659,46.59963429,44.91447627,46.4776364,44.54948913,47.13852823,48.17893413,45.0673521,45.88973089,42.12072485,40.56260688,40.31882105,41.55892704,42.49592913,44.08181423,43.80582668,43.96798359,43.55081264,44.87075338,40.82609106,40.57786452],
    [122,"Africa","Burkina Faso","BF","BFA",854,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","A, E",3.236121439,3.490431032,3.436883345,3.088006402,4.736884191,4.376398722,4.258923408,4.523737446,3.882799185,4.203279439,3.995297468,3.915050103,4.058911047,4.512266202,5.000119465,5.112943606,4.529507359,5.214618065,4.868409638,5.785813179,7.198633324,8.260528469,8.527614971,8.210069542,7.604751852,7.221261023,7.786339112,8.395680994,8.308836806,8.911538602,10.491084,10.84962669],
    [123,"Africa","Burkina Faso","BF","BFA",854,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",-0.602928478,9.069984459,0.232710762,3.461384939,1.315007272,5.716373863,11.01474387,6.316834735,7.307719635,7.395237801,1.888473889,6.613405745,4.35296383,7.802493889,4.478452137,8.661873228,6.253164688,4.111379018,5.799991741,2.961950859,8.446281577,6.622562613,6.45267238,5.792584845,4.326845615,3.921228794,5.957976708,6.203489411,6.604569068,5.688115149,1.93032489,6.906341673],
    [124,"Africa","Burkina Faso","BF","BFA",854,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,15056.63257,17750.29091,null,null],
    [125,"Africa","Burkina Faso","BF","BFA",854,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,160.465,156.822,null,null,null,null,null],
    [126,"Africa","Burkina Faso","BF","BFA",854,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,6.408691,1209.1,null,null],
    [127,"Africa","Burkina Faso","BF","BFA",854,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,124.317053,121.91477,169.03647,null,null],
    [128,"Africa","Burkina Faso","BF","BFA",854,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,4665.77,7473.8,null,null],
    [129,"Africa","Burkina Faso","BF","BFA",854,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2020,null,null,null,null],
    [130,"Africa","Burkina Faso","BF","BFA",854,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","The World Bank (2023). Railways, goods transported (million ton-km). Available at: https://data.worldbank.org/indicator/IS.RRS.GOOD.MT.K6","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.675,0.737,0.84,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [131,"Africa","Burkina Faso","BF","BFA",854,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1,1,null,null,null,null,null,null,null,null,null],
    [132,"Africa","Burkina Faso","BF","BFA",854,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,367.501535,2199.2,null,null],
    [133,"Africa","Burkina Faso","BF","BFA",854,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,763.568,785.538,872,765.848,null,null,null],
    [134,"Africa","Burkina Faso","BF","BFA",854,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.1,0.09,0.07,0.06,null,null,null,null,null,null,null,null],
    [135,"Africa","Burkina Faso","BF","BFA",854,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.022108,0.104614,0.107468,null,null],
    [136,"Africa","Burkina Faso","BF","BFA",854,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",null,null,null,null,null,null,null,null,null,null,12.273,7.364,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [137,"Africa","Burkina Faso","BF","BFA",854,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",17.7,16.1,15.2,14.3,14.5,15.3,16.5,15.3,13.5,13.7,12.273,7.364,0,0,0,0,null,null,0,0,0.101,0.086,0.071,0.062,0.051,null,null,null,null,null,null,null],
    [138,"Africa","Burkina Faso","BF","BFA",854,"Freight activity","All","All","All","All","TRAN_GO_NAT","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2892,null,null,null,null],
    [139,"Africa","Burkina Faso","BF","BFA",854,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,299085,324185,352657,382905,415257,447303,null],
    [140,"Africa","Burkina Faso","BF","BFA",854,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1789181,2051103,2329448,2607279,2891064,3238362,null],
    [141,"Africa","Burkina Faso","BF","BFA",854,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,198812,217789,238551,260707,284574,308542,null],
    [142,"Africa","Burkina Faso","BF","BFA",854,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,10882,11513,12300,13149,13990,14567,null],
    [143,"Africa","Burkina Faso","BF","BFA",854,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,39576,41375,43579,45793,48354,50675,null],
    [144,"Africa","Burkina Faso","BF","BFA",854,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","SSATP (2019). Policies for sustainable mobility and accessibility in cities of Burkina Faso. Available at: https://www.ssatp.org/sites/ssatp/files/publication/Country-Assesment-report-Burkina%20Faso-En.pdf","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,33819,35712,38962,43559,49474,55542,61440,67794,73567,80708,null,null,null,null],
    [145,"Africa","Burkina Faso","BF","BFA",854,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,47800,51492,56210,61238,66320,71498,null],
    [146,"Africa","Burkina Faso","BF","BFA",854,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [147,"Africa","Burkina Faso","BF","BFA",854,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [148,"Africa","Burkina Faso","BF","BFA",854,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [149,"Africa","Burkina Faso","BF","BFA",854,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [150,"Africa","Burkina Faso","BF","BFA",854,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [151,"Africa","Burkina Faso","BF","BFA",854,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [152,"Africa","Burkina Faso","BF","BFA",854,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [153,"Africa","Burkina Faso","BF","BFA",854,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [154,"South America","Brazil","BR","BRA",76,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",149.003225,151.648007,154.259382,156.849086,159.432717,162.019889,164.614682,167.209046,169.785253,172.318674,174.790339,177.196051,179.537523,181.809244,184.006479,186.127108,188.167353,190.130445,192.030362,193.886505,195.713637,197.514541,199.287292,201.035904,202.763744,204.471759,206.163056,207.833825,209.46932,211.049519,212.559409,213.993441],
    [155,"South America","Brazil","BR","BRA",76,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",73.922,74.69,75.444,76.181,76.903,77.61,78.302,79.048,79.781,80.496,81.192,81.553,81.88,82.203,82.521,82.834,83.143,83.448,83.749,84.044,84.335,84.631,84.923,85.209,85.492,85.77,86.042,86.309,86.569,86.824,87.073,87.317],
    [156,"South America","Brazil","BR","BRA",76,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",26.078,25.31,24.556,23.819,23.097,22.39,21.698,20.952,20.219,19.504,18.808,18.447,18.12,17.797,17.479,17.166,16.857,16.552,16.251,15.956,15.665,15.369,15.077,14.791,14.508,14.23,13.958,13.691,13.431,13.176,12.927,12.683],
    [157,"South America","Brazil","BR","BRA",76,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",1.811518838,1.759414194,1.707339233,1.664862312,1.633788884,1.609710307,1.588838302,1.563731974,1.528961881,1.481109752,1.424167442,1.366955955,1.31274755,1.257379967,1.201294141,1.145884772,1.090192573,1.037864683,0.994310572,0.961946715,0.937959307,0.915965178,0.893525507,0.873605696,0.855795964,0.838838953,0.823752153,0.807145245,0.78384426,0.751550842,0.712872791,0.672384396],
    [158,"South America","Brazil","BR","BRA",76,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",917211.0125,926678.3691,921636.5711,967024.3152,1023622.995,1066858.718,1090424.176,1127442.398,1131254.257,1136547.82,1186418.964,1202908.959,1239639.325,1253781.49,1325998.86,1368459.095,1422677.29,1509031.96,1585904.998,1583909.739,1703150.041,1770840.429,1804861.39,1859094.274,1868463.287,1802212,1743173.032,1766232.929,1797736.638,1819683.008,1749103.394,1829901.855],
    [159,"South America","Brazil","BR","BRA",76,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",6.963440655,6.84138946,6.806085228,6.38446089,8.721989375,5.011666465,4.768411208,4.685047025,4.750044788,4.645981538,4.750459972,4.801043019,5.475274895,6.167184387,5.665311577,4.651168823,4.370043778,4.416915436,4.567851183,4.476773991,4.115756488,4.342034127,4.168328223,4.506886182,4.325610538,4.319149428,4.891353587,4.600591694,4.420399304,4.205014095,5.893246266,6.891283292],
    [160,"South America","Brazil","BR","BRA",76,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E",3.237274508,3.589943133,0.509287447,0,3.554144817,7.441546004,7.281839254,7.230204928,7.325408323,7.613942832,7.954339729,8.131908933,8.273205655,7.674740971,8.10489572,8.178219475,8.127627715,7.900861185,8.224036715,7.772901549,8.516487309,8.768666295,8.807375653,8.444914513,8.028772683,7.617348648,7.039499821,7.113079144,7.465930989,7.464878705,7.216041427,8.027361961],
    [161,"South America","Brazil","BR","BRA",76,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",3.237274508,3.589943133,0.509287447,0,3.554144817,7.441546004,7.281839254,7.230204928,7.325408323,7.613942832,7.954339729,8.131908933,8.273205655,7.674740971,8.10489572,8.178219475,8.127627715,7.900861185,8.224036715,7.772901549,8.516487309,8.768666295,8.807375653,8.444914513,8.028772683,7.617348648,7.039499821,7.113079144,7.465930989,7.464878705,7.216041427,8.027361961],
    [162,"South America","Brazil","BR","BRA",76,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",22.82812988,21.83906738,23.30859761,24.53686093,23.7212337,14.54227915,13.06719124,13.01862537,12.15513719,12.30853333,13.13465959,13.08953794,12.35696267,14.45076456,15.09953016,14.73828114,14.10894588,14.15426481,13.9551769,13.05946215,12.72185961,11.78379767,10.67594231,10.47961229,10.3370974,10.52093745,10.78645112,10.72149801,10.52845738,10.33250054,9.663418179,9.645341701],
    [163,"South America","Brazil","BR","BRA",76,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",60.49660594,60.54971376,68.35745482,69.07867818,56.89434247,58.12141637,60.31887979,60.60571282,61.11859305,60.20365663,58.25186125,57.71369225,57.34814547,56.35782814,54.92047111,56.07589161,57.1381272,57.7262362,56.80486177,59.14505921,57.61292198,57.56816932,58.73360251,59.67875799,61.25097401,62.30786718,63.20369583,63.33867286,62.65335035,63.06784925,62.79521127,59.38128912],
    [164,"South America","Brazil","BR","BRA",76,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E",3.237274508,3.589943133,0.509287447,0,3.554144817,7.441546004,7.281839254,7.230204928,7.325408323,7.613942832,7.954339729,8.131908933,8.273205655,7.674740971,8.10489572,8.178219475,8.127627715,7.900861185,8.224036715,7.772901549,8.516487309,8.768666295,8.807375653,8.444914513,8.028772683,7.617348648,7.039499821,7.113079144,7.465930989,7.464878705,7.216041427,8.027361961],
    [165,"South America","Brazil","BR","BRA",76,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",-4.35,1.032189585,-0.544072051,4.924690005,5.852870364,4.223793634,2.208864051,3.394845985,0.338097902,0.467937567,4.387949444,1.389896404,3.053461857,1.140828999,5.759964637,3.202132062,3.961988709,6.069870607,5.094195448,-0.125812003,7.528225818,3.974423079,1.921175985,3.00482267,0.50395574,-3.545763393,-3.275916906,1.322869054,1.783666761,1.220777823,-3.878676334,4.619421621],
    [166,"South America","Brazil","BR","BRA",76,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,33838.97,31588.78,33106.67,35047.29,37288.49,17549.03,null],
    [167,"South America","Brazil","BR","BRA",76,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,178158.0673,276168.0048,null,null],
    [168,"South America","Brazil","BR","BRA",76,"Passenger activity","Road","Private","All","All","ROAD_PA_PRIVAT","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,12667.97,11100.6,11058.02,10449.75,12644.54,6769.23,null],
    [169,"South America","Brazil","BR","BRA",76,"Passenger activity","Road","Public","All","All","ROAD_PA_PUBLIC","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,21171.01,20488.18,22048.65,24597.54,24643.95,10779.8,null],
    [170,"South America","Brazil","BR","BRA",76,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,421.63,448.06,422.867,494.18,455.35,176.51,null],
    [171,"South America","Brazil","BR","BRA",76,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","Goes, G. V., Gon�alves, D. N. S., de Almeida D�Agosto, M., La Rovere, E. L., & de Mello Bandeira, R. A. (2020). MRV framework and prospective scenarios to monitor and ratchet up Brazilian transport mitigation targets, Climatic Change, doi:10.1007/s10584-020-02767-6. Available at: https://link.springer.com/article/10.1007/s10584-020-02767-6","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,21000,null,null,null,null,24000,null,null,null,null,30000,null,30000,null,null,null,null],
    [172,"South America","Brazil","BR","BRA",76,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,544.409722,6706.685714,null,null],
    [173,"South America","Brazil","BR","BRA",76,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","The World Bank (2023). Railways, passengers carried (million passenger-km). Available at: https://data.worldbank.org/indicator/IS.RRS.PASG.KM","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,15191,15901,15877,15648,15807,16422,16486,null,null],
    [174,"South America","Brazil","BR","BRA",76,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,33545.48941,36063.34794,39097.85349,null,null],
    [175,"South America","Brazil","BR","BRA",76,"Passenger activity","Inland waterways","All","All","All","IWW_PA_NAT","million passenger-km","Goes, G. V., Gon�alves, D. N. S., de Almeida D�Agosto, M., La Rovere, E. L., & de Mello Bandeira, R. A. (2020). MRV framework and prospective scenarios to monitor and ratchet up Brazilian transport mitigation targets, Climatic Change, doi:10.1007/s10584-020-02767-6. Available at: https://link.springer.com/article/10.1007/s10584-020-02767-6","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,700,null,null,null,null,1200,null,null,null,null,1300,null,1300,null,null,null,null],
    [176,"South America","Brazil","BR","BRA",76,"Passenger activity","All","All","All","All","TRAN_PA_NAT","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,34260.6,32036.84,33529.54,35541.47,37743.85,17725.54,null],
    [177,"South America","Brazil","BR","BRA",76,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1194640,1866640,null,null],
    [178,"South America","Brazil","BR","BRA",76,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,332285.2,341161,375242.3,407869,366407.6,365244.8,null],
    [179,"South America","Brazil","BR","BRA",76,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","The World Bank (2023). Railways, goods transported (million ton-km). Available at: https://data.worldbank.org/indicator/IS.RRS.GOOD.MT.K6","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7446.1,9393.5,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [180,"South America","Brazil","BR","BRA",76,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1194640,203184,null,null],
    [181,"South America","Brazil","BR","BRA",76,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","Goes, G. V., Gon�alves, D. N. S., de Almeida D�Agosto, M., La Rovere, E. L., & de Mello Bandeira, R. A. (2020). MRV framework and prospective scenarios to monitor and ratchet up Brazilian transport mitigation targets, Climatic Change, doi:10.1007/s10584-020-02767-6. Available at: https://link.springer.com/article/10.1007/s10584-020-02767-6","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,223000,null,null,null,null,278000,null,null,null,null,332000,null,375000,null,null,null,null],
    [182,"South America","Brazil","BR","BRA",76,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",1082,1005,1143,1284,1469,1582,1645,1790,1643,1463,1728,1467,1540,1478,1499,1531,1412,1478,1807,1782,1302,1294,1363,1637,1597,1494,1514,1737,1846,1521,1210,1294],
    [183,"South America","Brazil","BR","BRA",76,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1846,1521.14944,null,null],
    [184,"South America","Brazil","BR","BRA",76,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,17581.2,19342.8,27526.23,28948.43,32073.1,32719.31,null],
    [185,"South America","Brazil","BR","BRA",76,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,69138.59002,203184,null,null],
    [186,"South America","Brazil","BR","BRA",76,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","Goes, G. V., Gon�alves, D. N. S., de Almeida D�Agosto, M., La Rovere, E. L., & de Mello Bandeira, R. A. (2020). MRV framework and prospective scenarios to monitor and ratchet up Brazilian transport mitigation targets, Climatic Change, doi:10.1007/s10584-020-02767-6. Available at: https://link.springer.com/article/10.1007/s10584-020-02767-6","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,115000,null,null,null,null,173000,null,null,null,null,131000,null,114000,null,null,null,null],
    [187,"South America","Brazil","BR","BRA",76,"Freight activity","All","All","All","All","TRAN_GO_NAT","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,349866.4,360503.8,402768.5,436817.4,398480.7,397964.1,null],
    [188,"South America","Brazil","BR","BRA",76,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,88466247,91518420,94615905,98122064,101986267,104958076,null],
    [189,"South America","Brazil","BR","BRA",76,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,24301524,25302564,26159520,27100589,28178831,29094503,null],
    [190,"South America","Brazil","BR","BRA",76,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,49822709,51296982,52916160,54715488,56652190,58016405,null],
    [191,"South America","Brazil","BR","BRA",76,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,967873,986724,1004575,1027662,1061144,1082199,null],
    [192,"South America","Brazil","BR","BRA",76,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,10134257,10641244,11191990,11857181,12570027,13150141,null],
    [193,"South America","Brazil","BR","BRA",76,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3239884,3290906,3343660,3421144,3524075,3614828,null],
    [194,"South America","Brazil","BR","BRA",76,"Energy intensity","Road","Car","All","All","NRG_EIP_CAR","MJ/passenger-km","Goes, G. V., Gon�alves, D. N. S., de Almeida D�Agosto, M., La Rovere, E. L., & de Mello Bandeira, R. A. (2020). MRV framework and prospective scenarios to monitor and ratchet up Brazilian transport mitigation targets, Climatic Change, doi:10.1007/s10584-020-02767-6. Available at: https://link.springer.com/article/10.1007/s10584-020-02767-6","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.1,null,null,null,null,1.1,null,null,null,null,1.1,null,1.1,null,null,null,null],
    [195,"South America","Brazil","BR","BRA",76,"Load factor","Road","Car","All","Urban","NRG_LF_CARELEURB","people per vehicle","Oviedo, D., Granada, I. and Perez-Jaramillo, D. (2020). Ridesourcing and Travel Demand: Potential Effects of Transportation Network Companies in Bogot�, Sustainability, 12, 1732. https://doi.org/10.3390/su12051732. Available at: https://www.mdpi.com/2071-1050/12/5/1732","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.2,null,null,null],
    [196,"South America","Brazil","BR","BRA",76,"Load factor","Road","Bus","All","Urban","NRG_LF_BUSURB","people per vehicle","Oviedo, D., Granada, I. and Perez-Jaramillo, D. (2020). Ridesourcing and Travel Demand: Potential Effects of Transportation Network Companies in Bogot�, Sustainability, 12, 1732. https://doi.org/10.3390/su12051732. Available at: https://www.mdpi.com/2071-1050/12/5/1732","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,36,null,null,null],
    [197,"Africa","Botswana","BW","BWA",72,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",1.286756,1.326321,1.363541,1.39911,1.434061,1.469173,1.504724,1.540424,1.575827,1.61026,1.643333,1.674674,1.704637,1.734387,1.765533,1.799077,1.835911,1.875458,1.915636,1.953495,1.987106,2.015406,2.039551,2.062551,2.088619,2.120716,2.159925,2.205076,2.254067,2.303703,2.351625,2.39724],
    [198,"Africa","Botswana","BW","BWA",72,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",41.933,45.292,46.443,47.286,48.133,48.981,49.83,50.677,51.525,52.372,53.219,54.062,54.57,55.029,55.488,55.944,56.4,57.928,59.444,60.937,62.412,63.865,64.768,65.572,66.368,67.155,67.933,68.7,69.446,70.172,70.877,71.56],
    [199,"Africa","Botswana","BW","BWA",72,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",58.067,54.708,53.557,52.714,51.867,51.019,50.17,49.323,48.475,47.628,46.781,45.938,45.43,44.971,44.512,44.056,43.6,42.072,40.556,39.063,37.588,36.135,35.232,34.428,33.632,32.845,32.067,31.3,30.554,29.828,29.123,28.44],
    [200,"Africa","Botswana","BW","BWA",72,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",3.340333628,3.028462146,2.767604861,2.575132766,2.467395944,2.418937782,2.390983523,2.344821053,2.272251063,2.16154428,2.033083991,1.889202292,1.773366537,1.730185201,1.779859095,1.882112781,2.026706047,2.131208018,2.119678612,1.957039362,1.70592329,1.414135504,1.190902166,1.12138806,1.255951583,1.525068549,1.831973136,2.068847655,2.197416468,2.178168817,2.058875027,1.921149705],
    [201,"Africa","Botswana","BW","BWA",72,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",4663.627852,5011.47429,5157.662519,5256.488852,5447.189856,5830.149654,6170.035719,6683.746161,6713.399505,7362.4,7508.742112,7527.557064,7984.444465,8353.79646,8579.8353,8970.787994,9721.093138,10525.68506,11183.06012,10327.29767,11211.68931,11889.81281,12419.64004,13828.44912,14402.22774,13578.75407,14534.277,15116.14948,15717.832,16244.20807,14826.67181,16511.59502],
    [202,"Africa","Botswana","BW","BWA",72,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",4.526150858,4.376895524,4.632785011,4.521192563,3.756143634,4.637720944,3.690994049,3.542705617,3.166864256,2.990765494,2.794699789,2.59029062,2.425615993,2.722386955,2.25958535,1.828380524,2.048364708,2.240732656,2.526018242,2.819081868,2.488037862,2.51091768,2.69526989,2.29859284,1.798135183,1.940901212,1.97587615,1.843897077,2.055350722,2.088654787,2.130881381,2.151048104],
    [203,"Africa","Botswana","BW","BWA",72,"GDP","Construction","..","..","..","GDP_CON","%","n/a","A, E",19.62560943,19.28844003,18.59265271,17.77113887,15.33562258,14.59167493,15.30464787,15.54432792,14.83675443,15.67844033,16.27713412,15.42716188,14.6399784,13.95833533,14.7439982,15.97943456,15.82294522,15.24105619,13.89166138,11.32955395,12.03872063,12.9938728,11.23206903,11.74156348,12.2988689,11.27142904,12.46532724,11.68426206,11.1768728,10.36338369,8.814467878,8.336803432],
    [204,"Africa","Botswana","BW","BWA",72,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","A, E",19.62560943,19.28844003,18.59265271,17.77113887,15.33562258,14.59167493,15.30464787,15.54432792,14.83675443,15.67844033,16.27713412,15.42716188,14.6399784,13.95833533,14.7439982,15.97943456,15.82294522,15.24105619,13.89166138,11.32955395,12.03872063,12.9938728,11.23206903,11.74156348,12.2988689,11.27142904,12.46532724,11.68426206,11.1768728,10.36338369,8.814467878,8.336803432],
    [205,"Africa","Botswana","BW","BWA",72,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",4.770750175,4.826396512,4.876027389,4.308401383,4.875553146,5.323237407,5.614679582,5.679896114,6.218138708,5.563178689,5.626987325,5.84016042,6.057066481,5.705543083,5.554128172,4.949504722,5.283793173,6.26423056,5.726508406,6.346525905,6.387079017,5.786081588,5.937139029,5.820718518,7.756241558,7.216415393,6.503233827,6.180022646,6.190222535,6.103306777,5.670481911,5.718547057],
    [206,"Africa","Botswana","BW","BWA",72,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",31.82627068,32.93138789,34.71322946,37.85698945,45.36143547,46.26401687,44.78038275,44.1444145,46.10473375,44.41073482,42.74691052,45.28806333,47.59738232,49.69706398,47.95429188,45.28381107,45.19900646,45.77186821,50.07248922,56.84573036,55.00872122,52.72138234,57.67138399,56.65599821,53.54901657,57.02839627,54.12490831,56.9232941,58.22380833,60.71788738,65.75523307,67.11999454],
    [207,"Africa","Botswana","BW","BWA",72,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","A, E",19.62560943,19.28844003,18.59265271,17.77113887,15.33562258,14.59167493,15.30464787,15.54432792,14.83675443,15.67844033,16.27713412,15.42716188,14.6399784,13.95833533,14.7439982,15.97943456,15.82294522,15.24105619,13.89166138,11.32955395,12.03872063,12.9938728,11.23206903,11.74156348,12.2988689,11.27142904,12.46532724,11.68426206,11.1768728,10.36338369,8.814467878,8.336803432],
    [208,"Africa","Botswana","BW","BWA",72,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",6.772821949,7.458709171,2.917070304,1.916107019,3.627916077,7.030410309,5.829800007,8.3258909,0.443663522,9.667240795,1.987695751,0.250573957,6.06953088,4.625894727,2.705821729,4.556645673,8.363871096,8.276763793,6.2454373,-7.652310196,8.563630828,6.048361448,4.456144448,11.34339701,4.149262247,-5.717682557,7.036896951,4.00344974,3.98039539,3.348910139,-8.726410346,11.36413637],
    [209,"Africa","Botswana","BW","BWA",72,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,15166.75919,null,null,null],
    [210,"Africa","Botswana","BW","BWA",72,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,572.001,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [211,"Africa","Botswana","BW","BWA",72,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UIC (2023). International Railway Statistics, Traffic on the national Territory - PKm, VAR 5113, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,75,106,115,160,94,94,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [212,"Africa","Botswana","BW","BWA",72,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","The World Bank (2023). Railways, passengers carried (million passenger-km). Available at: https://data.worldbank.org/indicator/IS.RRS.PASG.KM","A",null,null,null,null,null,86,95.8,96,94,89,75,106,115,160,94,94,94,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [213,"Africa","Botswana","BW","BWA",72,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,25.964039,null,null,null],
    [214,"Africa","Botswana","BW","BWA",72,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,94,null,94,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [215,"Africa","Botswana","BW","BWA",72,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,103.262,106.022,null,null,null],
    [216,"Africa","Botswana","BW","BWA",72,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2377.856698,null,null,null],
    [217,"Africa","Botswana","BW","BWA",72,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,674,null,null,null,null,null,null,null,null,null,null,null],
    [218,"Africa","Botswana","BW","BWA",72,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","The World Bank (2023). Railways, goods transported (million ton-km). Available at: https://data.worldbank.org/indicator/IS.RRS.GOOD.MT.K6","A",null,null,null,null,null,null,178,218,219,155,89,94,89,86,45,24,36,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [219,"Africa","Botswana","BW","BWA",72,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","The World Bank (2023). Railways, goods transported (million ton-km). Available at: https://data.worldbank.org/indicator/IS.RRS.GOOD.MT.K6","A",null,null,null,null,null,626,794,795,1111,1282,1037,747,715,893,674,674,674,674,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [220,"Africa","Botswana","BW","BWA",72,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,35.822253,null,null,null],
    [221,"Africa","Botswana","BW","BWA",72,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,674,674,674,674,674,674,674,null,null,null,null,null,null,null,null,null],
    [222,"Africa","Botswana","BW","BWA",72,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",3.099999905,0.400000006,0.600000024,0.800000012,0.5,0.300000012,0.200000003,0.200000003,0.200000003,0.200000003,0.267,0.287,0.306,0.277,0.299,0.315,0,null,null,0,0.121,0.121,0.129878467,0.141492,0.107736,null,null,0.14564,0.113606,0.675495,null,0.063317],
    [223,"Africa","Botswana","BW","BWA",72,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",3.1,0.4,0.6,0.8,0.5,0.3,0.2,0.2,0.2,0.2,0.267,0.287,0.306,0.277,0.299,0.315,null,null,null,null,0.121,0.121,0.13,0.141,null,null,null,0.146,0.114,0.675,null,null],
    [224,"Africa","Botswana","BW","BWA",72,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.14564,0.113606,null,null,null],
    [225,"Africa","Botswana","BW","BWA",72,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",3.1,0.4,0.6,0.8,0.5,0.3,0.2,0.2,0.2,0.2,0.27,0.29,0.31,0.28,0.3,0.32,0,null,null,0,0.12,0.12,0.13,0.14,0.11,null,null,null,null,null,null,null],
    [226,"Africa","Botswana","BW","BWA",72,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,436228,466247,491881,502047,561623,539906,null],
    [227,"Africa","Botswana","BW","BWA",72,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","Statistics Botswana (2021). Transport and Infrastructure Statistics Report. Available at: https://www.statsbots.org.bw/sites/default/files/publications/2020%20Transport%20and%20Infrastrucutre%20Statistics%20Report.pdf","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,367155,400873,417015,435750,469664,500316,527901,553648,601190,579789,null],
    [228,"Africa","Botswana","BW","BWA",72,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1915,2441,1914,1486,1846,2016,null],
    [229,"Africa","Botswana","BW","BWA",72,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","Statistics Botswana (2021). Transport and Infrastructure Statistics Report. Available at: https://www.statsbots.org.bw/sites/default/files/publications/2020%20Transport%20and%20Infrastrucutre%20Statistics%20Report.pdf","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1716,1752,1759,1807,1915,2441,1914,1815,1846,2016,null],
    [230,"Africa","Botswana","BW","BWA",72,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,280563,303846,328572,350453,388767,369161,null],
    [231,"Africa","Botswana","BW","BWA",72,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","Statistics Botswana (2021). Transport and Infrastructure Statistics Report. Available at: https://www.statsbots.org.bw/sites/default/files/publications/2020%20Transport%20and%20Infrastrucutre%20Statistics%20Report.pdf","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,197293,225604,239661,253222,280563,303846,328572,350757,388767,369161,null],
    [232,"Africa","Botswana","BW","BWA",72,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,17944,19624,4541,18441,22316,19953,null],
    [233,"Africa","Botswana","BW","BWA",72,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","Statistics Botswana (2021). Transport and Infrastructure Statistics Report. Available at: https://www.statsbots.org.bw/sites/default/files/publications/2020%20Transport%20and%20Infrastrucutre%20Statistics%20Report.pdf","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,13875,14757,15666,16616,17944,19624,4541,21109,22316,19953,null],
    [234,"Africa","Botswana","BW","BWA",72,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,108811,111129,110125,99278,113013,112820,null],
    [235,"Africa","Botswana","BW","BWA",72,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","Statistics Botswana (2021). Transport and Infrastructure Statistics Report. Available at: https://www.statsbots.org.bw/sites/default/files/publications/2020%20Transport%20and%20Infrastrucutre%20Statistics%20Report.pdf","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,123872,127417,128027,131877,135806,140336,156854,142643,148694,148776,null],
    [236,"Africa","Botswana","BW","BWA",72,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,26995,29207,46729,32389,35681,35956,null],
    [237,"Africa","Botswana","BW","BWA",72,"Vehicle stock","Road","Trailer","All","All","ROAD_EQS_TRAILE","n","Statistics Botswana (2021). Transport and Infrastructure Statistics Report. Available at: https://www.statsbots.org.bw/sites/default/files/publications/2020%20Transport%20and%20Infrastrucutre%20Statistics%20Report.pdf","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,21724,22629,23031,22412,23633,24578,26084,27470,29666,29872,null],
    [238,"Africa","Botswana","BW","BWA",72,"Vehicle stock","Road","Agricultural and forestry tractors","All","All","ROAD_EQS_TRACTO","n","Statistics Botswana (2021). Transport and Infrastructure Statistics Report. Available at: https://www.statsbots.org.bw/sites/default/files/publications/2020%20Transport%20and%20Infrastrucutre%20Statistics%20Report.pdf","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,5708,6020,6101,6478,6812,6855,7152,6766,6773,6952,null],
    [239,"Africa","Botswana","BW","BWA",72,"Vehicle stock","Road","Special purpose vehicle","All","All","ROAD_EQS_SPECIA","n","Statistics Botswana (2021). Transport and Infrastructure Statistics Report. Available at: https://www.statsbots.org.bw/sites/default/files/publications/2020%20Transport%20and%20Infrastrucutre%20Statistics%20Report.pdf","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2967,2694,2770,3238,2991,2636,2784,3088,3128,3059,null],
    [240,"Africa","Botswana","BW","BWA",72,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [241,"Africa","Botswana","BW","BWA",72,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [242,"Africa","Botswana","BW","BWA",72,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [243,"Africa","Botswana","BW","BWA",72,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [244,"Africa","Botswana","BW","BWA",72,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [245,"Africa","Botswana","BW","BWA",72,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [246,"Africa","Botswana","BW","BWA",72,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [247,"Africa","Botswana","BW","BWA",72,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [248,"Africa","Central African Republic","CF","CAF",140,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",2.80674,2.878507,2.959236,3.046148,3.135017,3.222662,3.308235,3.392432,3.475485,3.558019,3.640421,3.722016,3.802129,3.881185,3.959883,4.03838,4.118075,4.198004,4.273368,4.337623,4.386765,4.418639,4.436411,4.447945,4.464171,4.493171,4.537683,4.596023,4.666375,4.745179,4.829764,4.919987],
    [249,"Africa","Central African Republic","CF","CAF",140,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",36.825,36.906,36.987,37.068,37.149,37.231,37.312,37.394,37.475,37.557,37.639,37.72,37.802,37.884,37.966,38.069,38.193,38.339,38.506,38.694,38.904,39.135,39.388,39.663,39.959,40.277,40.618,40.98,41.364,41.77,42.198,42.648],
    [250,"Africa","Central African Republic","CF","CAF",140,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",63.175,63.094,63.013,62.932,62.851,62.769,62.688,62.606,62.525,62.443,62.361,62.28,62.198,62.116,62.034,61.931,61.807,61.661,61.494,61.306,61.096,60.865,60.612,60.337,60.041,59.723,59.382,59.02,58.636,58.23,57.802,57.352],
    [251,"Africa","Central African Republic","CF","CAF",140,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",2.197486883,2.524808944,2.765936996,2.894671469,2.875675511,2.757312938,2.620708845,2.513225377,2.418696931,2.346989168,2.289540499,2.216612267,2.129571603,2.057934638,2.007396,1.962914208,1.954219971,1.922335307,1.779310088,1.49242271,1.126555117,0.723967673,0.401398611,0.259647553,0.364133903,0.647515777,0.985784079,1.277483497,1.519117467,1.674661628,1.766844992,1.850828304],
    [252,"Africa","Central African Republic","CF","CAF",140,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",1492.78072,1484.532464,1389.164938,1393.82247,1462.119066,1567.392305,1504.695156,1584.443036,1658.914115,1718.634607,1675.850359,1750.672704,1813.986521,1716.076867,1818.953688,1835.473617,1923.045631,2011.650629,2052.972567,2229.266668,2332.49996,2430.339361,2553.16291,1624.016449,1625.333047,1695.825708,1776.382803,1856.804594,1927.167157,1986.909339,2004.791523,2022.834647],
    [253,"Africa","Central African Republic","CF","CAF",140,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",51.42320055,50.73428832,50.04537609,49.35646386,48.66755163,47.9786394,47.28972717,46.60081493,45.9119027,45.22299047,44.53407824,43.84516601,43.15625378,42.46734155,41.77842932,41.08951709,40.40060485,39.71169262,39.02278039,38.33386816,37.3635796,37.56902278,36.81416647,32.25890625,33.98562172,31.52738103,31.91899149,32.79017123,31.24133151,28.34183246,29.49593723,30.06692139],
    [254,"Africa","Central African Republic","CF","CAF",140,"GDP","Construction","..","..","..","GDP_CON","%","n/a","A, E",4.481673824,4.474703893,4.467733962,4.460764031,4.4537941,4.44682417,4.439854239,4.432884308,4.425914377,4.418944447,4.411974516,4.405004585,4.398034654,4.391064724,4.384094793,4.377124862,4.370154931,4.363185,4.35621507,4.349245139,4.97018324,4.630793388,3.15368003,2.347987659,2.259351973,2.19843499,2.315268567,2.296610611,2.885942763,4.242436241,4.261314881,4.26560597],
    [255,"Africa","Central African Republic","CF","CAF",140,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","A, E",4.481673824,4.474703893,4.467733962,4.460764031,4.4537941,4.44682417,4.439854239,4.432884308,4.425914377,4.418944447,4.411974516,4.405004585,4.398034654,4.391064724,4.384094793,4.377124862,4.370154931,4.363185,4.35621507,4.349245139,4.97018324,4.630793388,3.15368003,2.347987659,2.259351973,2.19843499,2.315268567,2.296610611,2.885942763,4.242436241,4.261314881,4.26560597],
    [256,"Africa","Central African Republic","CF","CAF",140,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",22.20312447,22.05069509,21.89826572,21.74583634,21.59340697,21.44097759,21.28854821,21.13611884,20.98368946,20.83126009,20.67883071,20.52640134,20.37397196,20.22154259,20.06911321,19.91668384,19.76425446,19.61182509,19.45939571,19.30696633,18.39649783,19.96856112,23.65146879,21.06138825,17.44322761,19.74492116,19.45417359,18.44042004,18.1315381,17.78232111,17.72702657,17.47781383],
    [257,"Africa","Central African Republic","CF","CAF",140,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",12.92865351,13.79090491,14.65315631,15.51540771,16.37765911,17.2399105,18.1021619,18.9644133,19.8266647,20.6889161,21.5511675,22.4134189,23.2756703,24.1379217,25.00017309,25.86242449,26.72467589,27.58692729,28.44917869,29.31143009,29.32937286,28.57003593,30.07332464,39.63574253,41.79309475,42.13239284,41.68102922,41.87957691,41.9693021,41.1485377,39.99309156,39.65844687],
    [258,"Africa","Central African Republic","CF","CAF",140,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","A, E",4.481673824,4.474703893,4.467733962,4.460764031,4.4537941,4.44682417,4.439854239,4.432884308,4.425914377,4.418944447,4.411974516,4.405004585,4.398034654,4.391064724,4.384094793,4.377124862,4.370154931,4.363185,4.35621507,4.349245139,4.97018324,4.630793388,3.15368003,2.347987659,2.259351973,2.19843499,2.315268567,2.296610611,2.885942763,4.242436241,4.261314881,4.26560597],
    [259,"Africa","Central African Republic","CF","CAF",140,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",-2.147528066,-0.552543005,-6.424078199,0.335275685,4.89994941,7.200045558,-4.000092964,5.299936018,4.700142379,3.599974904,-2.48943244,4.464739026,3.616542192,-5.397485219,5.994884228,0.908210515,4.77108543,4.607534855,2.054130962,8.587260426,4.630818432,4.194615337,5.053761254,-36.3919771,0.081070515,4.33712103,4.750316841,4.527278213,3.789443593,3.1,0.899999997,0.900000007],
    [260,"Africa","Central African Republic","CF","CAF",140,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1636.984047,3676.290909,null,null],
    [261,"Africa","Central African Republic","CF","CAF",140,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,4.603737,318.1818182,null,null],
    [262,"Africa","Central African Republic","CF","CAF",140,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1138.35,2762.2,null,null],
    [263,"Africa","Central African Republic","CF","CAF",140,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",17.79999924,16.20000076,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [264,"Africa","Central African Republic","CF","CAF",140,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,5.491983,null,null,null],
    [265,"Africa","Central African Republic","CF","CAF",140,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [266,"Africa","Central African Republic","CF","CAF",140,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [267,"Africa","Central African Republic","CF","CAF",140,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [268,"Africa","Central African Republic","CF","CAF",140,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [269,"Africa","Central African Republic","CF","CAF",140,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [270,"Africa","Central African Republic","CF","CAF",140,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [271,"Africa","Central African Republic","CF","CAF",140,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [272,"Africa","Central African Republic","CF","CAF",140,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [273,"Africa","C�te d'Ivoire","CI","CIV",384,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",11.924873,12.362404,12.812428,13.271638,13.735438,14.199759,14.665125,15.130674,15.589407,16.032573,16.45466,16.853027,17.231539,17.599613,17.970493,18.354513,18.754914,19.17125,19.605568,20.059147,20.532944,21.028652,21.547188,22.087506,22.647672,23.226148,23.822726,24.437475,25.069226,25.716554,26.378275,27.053629],
    [274,"Africa","C�te d'Ivoire","CI","CIV",384,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",39.345,39.716,40.088,40.461,40.835,41.21,41.587,41.964,42.342,42.741,43.155,43.568,43.983,44.399,44.817,45.234,45.652,46.071,46.491,46.91,47.33,47.751,48.172,48.593,49.014,49.444,49.881,50.326,50.779,51.239,51.706,52.18],
    [275,"Africa","C�te d'Ivoire","CI","CIV",384,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",60.655,60.284,59.912,59.539,59.165,58.79,58.413,58.036,57.658,57.259,56.845,56.432,56.017,55.601,55.183,54.766,54.348,53.929,53.509,53.09,52.67,52.249,51.828,51.407,50.986,50.556,50.119,49.674,49.221,48.761,48.294,47.82],
    [276,"Africa","C�te d'Ivoire","CI","CIV",384,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",3.606606985,3.603354468,3.575570587,3.521363968,3.434993132,3.324578426,3.224723346,3.125184798,2.986757108,2.803082014,2.598625449,2.392156481,2.221108292,2.113554566,2.085422187,2.114434928,2.158031376,2.19559629,2.240184654,2.287165167,2.334536146,2.38552681,2.435943204,2.47667885,2.50449559,2.522164778,2.536128605,2.54778157,2.552322341,2.549387092,2.540584565,2.528040056],
    [277,"Africa","C�te d'Ivoire","CI","CIV",384,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",22747.08342,22756.3927,22700.73953,22657.04399,22840.83944,24468.41936,26359.6636,28903.06538,30135.4649,30487.10358,30406.07207,29751.12148,28938.75924,27571.15208,28449.30382,28732.67753,29541.66865,29867.04938,31295.4906,32423.16776,34643.5223,32783.01021,35281.21058,39077.54404,42739.89144,45814.63797,49103.76605,52717.62551,56350.0198,59861.58934,61033.87829,65319.37317],
    [278,"Africa","C�te d'Ivoire","CI","CIV",384,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",32.49842767,33.29394293,34.00968692,28.21520627,25.26363051,24.7276058,16.52672526,15.1463001,15.54161877,15.2177671,16.19515451,17.27709755,18.73731416,20.77602022,16.64001898,16.06518536,15.94479491,15.57874633,16.18548418,15.24958164,17.48891707,18.48667149,16.37514988,15.34290194,15.24175553,18.36220725,19.74037037,18.73748665,20.54857036,20.67122108,21.38539185,21.74007229],
    [279,"Africa","C�te d'Ivoire","CI","CIV",384,"GDP","Construction","..","..","..","GDP_CON","%","n/a","A, E",2.938901053,2.673609774,2.619604099,2.440522161,2.099344643,1.906251612,12.2461513,13.06096937,13.31627332,12.63722573,12.65783247,12.25749234,11.997759,11.37847806,12.06466918,11.61192367,12.02716909,11.78111911,11.94364899,12.15245491,11.89232354,12.7596125,11.20662053,11.33115584,11.74746695,7.6739994,8.159324391,8.316204642,8.065968007,8.144091803,8.429336871,8.217164418],
    [280,"Africa","C�te d'Ivoire","CI","CIV",384,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","A, E",2.938901053,2.673609774,2.619604099,2.440522161,2.099344643,1.906251612,12.2461513,13.06096937,13.31627332,12.63722573,12.65783247,12.25749234,11.997759,11.37847806,12.06466918,11.61192367,12.02716909,11.78111911,11.94364899,12.15245491,11.89232354,12.7596125,11.20662053,11.33115584,11.74746695,7.6739994,8.159324391,8.316204642,8.065968007,8.144091803,8.429336871,8.217164418],
    [281,"Africa","C�te d'Ivoire","CI","CIV",384,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",17.45050761,16.57763404,16.58318699,15.43232606,14.74179,15.04924517,9.802850067,11.22671049,10.41068183,10.87026398,11.15447113,10.7672585,9.797021793,8.889951221,8.792904827,10.28226527,10.02887861,10.31060928,10.20402365,9.627693495,9.001911196,9.22135575,10.31825153,11.85018556,12.20069981,10.84203181,9.018102177,10.11191116,11.96062685,11.7846369,11.19580966,11.25671262],
    [282,"Africa","C�te d'Ivoire","CI","CIV",384,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",41.23436157,42.10759371,41.54831379,49.03090119,53.69654556,54.50439419,36.93197077,34.44408129,34.09887944,36.00029172,34.67687694,35.18316691,35.47238704,36.19859438,38.37306866,38.81677837,37.94481923,38.76728707,37.77954521,38.66536012,37.8322011,34.01313525,39.68673699,38.81344497,37.3151438,47.77376273,46.76355428,46.20198826,43.29289877,43.11186661,42.13078787,42.35172184],
    [283,"Africa","C�te d'Ivoire","CI","CIV",384,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","A, E",2.938901053,2.673609774,2.619604099,2.440522161,2.099344643,1.906251612,12.2461513,13.06096937,13.31627332,12.63722573,12.65783247,12.25749234,11.997759,11.37847806,12.06466918,11.61192367,12.02716909,11.78111911,11.94364899,12.15245491,11.89232354,12.7596125,11.20662053,11.33115584,11.74746695,7.6739994,8.159324391,8.316204642,8.065968007,8.144091803,8.429336871,8.217164418],
    [284,"Africa","C�te d'Ivoire","CI","CIV",384,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",-1.095908412,0.040925172,-0.244560611,-0.1924851,0.811206684,7.125744724,7.729327422,9.648840049,4.26390594,1.166859983,-0.265789464,-2.15401249,-2.730526474,-4.725866586,3.185038229,0.996065562,2.815578596,1.101429764,4.782665981,3.603321566,6.848049401,-5.370447241,7.620411763,10.76021313,9.371999942,7.194090645,7.179207824,7.359638088,6.89028432,6.231709513,1.958332479,7.021501836],
    [285,"Africa","C�te d'Ivoire","CI","CIV",384,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,32043.91209,null,null,null],
    [286,"Africa","C�te d'Ivoire","CI","CIV",384,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UIC (2023). International Railway Statistics, Traffic on the national Territory - PKm, VAR 5113, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,125.91,182,148,10,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [287,"Africa","C�te d'Ivoire","CI","CIV",384,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","The World Bank (2023). Railways, passengers carried (million passenger-km). Available at: https://data.worldbank.org/indicator/IS.RRS.PASG.KM","A",205,199,189,173,186,161,157.512,155,119,93.1,125.91,182,148,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [288,"Africa","C�te d'Ivoire","CI","CIV",384,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,47.752874,null,null,null],
    [289,"Africa","C�te d'Ivoire","CI","CIV",384,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,954.215478,867.908832,null,null,null],
    [290,"Africa","C�te d'Ivoire","CI","CIV",384,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,9842.104044,null,null,null],
    [291,"Africa","C�te d'Ivoire","CI","CIV",384,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","The World Bank (2023). Railways, goods transported (million ton-km). Available at: https://data.worldbank.org/indicator/IS.RRS.GOOD.MT.K6","A",289,274,266,168,175,58,186,505,530,537,523,699,606,129,501,675,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [292,"Africa","C�te d'Ivoire","CI","CIV",384,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,376.398051,null,null,null],
    [293,"Africa","C�te d'Ivoire","CI","CIV",384,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",17.70000076,16.10000038,15.19999981,14.30000019,14.5,15.30000019,16.5,15.30000019,13.60000038,13.80000019,12.292,7.364,null,null,null,null,null,null,null,null,15.37696396,2.708603617,0,4.563948,4.71912,0.983368073,1.202230338,5.419406667,4.160268984,9.166862,4.317833,4.028365],
    [294,"Africa","C�te d'Ivoire","CI","CIV",384,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,5.419407,5.799978,null,null,null],
    [295,"Africa","C�te d'Ivoire","CI","CIV",384,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,60121,74238,null,null,null,null,null],
    [296,"Africa","C�te d'Ivoire","CI","CIV",384,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","Institut National de la Statistique (2012). Annuaire des Statistiques Demographiques et Sociales. Available at: http://www.ins.ci/templates/Pub/annuaire%20demo.pdf","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,407998,428133,447458,474873,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [297,"Africa","C�te d'Ivoire","CI","CIV",384,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7067,15051,null,null,null,null,null],
    [298,"Africa","C�te d'Ivoire","CI","CIV",384,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,39856,45493,null,null,null,null,null],
    [299,"Africa","C�te d'Ivoire","CI","CIV",384,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,761,902,null,null,null,null,null],
    [300,"Africa","C�te d'Ivoire","CI","CIV",384,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,8075,8180,null,null,null,null,null],
    [301,"Africa","C�te d'Ivoire","CI","CIV",384,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,4362,4612,null,null,null,null,null],
    [302,"Africa","C�te d'Ivoire","CI","CIV",384,"Vehicle stock","Road","All","Gasoline","All","ROAD_EQS_GAS","n","Institut National de la Statistique (2012). Annuaire des Statistiques Demographiques et Sociales. Available at: http://www.ins.ci/templates/Pub/annuaire%20demo.pdf","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,53315,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [303,"Africa","C�te d'Ivoire","CI","CIV",384,"Vehicle stock","Road","All","Diesel","All","ROAD_EQS_DIE","n","Institut National de la Statistique (2012). Annuaire des Statistiques Demographiques et Sociales. Available at: http://www.ins.ci/templates/Pub/annuaire%20demo.pdf","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,57734,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [304,"Africa","C�te d'Ivoire","CI","CIV",384,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [305,"Africa","C�te d'Ivoire","CI","CIV",384,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [306,"Africa","C�te d'Ivoire","CI","CIV",384,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [307,"Africa","C�te d'Ivoire","CI","CIV",384,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [308,"Africa","C�te d'Ivoire","CI","CIV",384,"Load factor","Road","Car","All","Urban","NRG_LF_CARURB","passenger/vehicle","Merven, B., Stone, A., Hughes, A. and Cohen, B. (2012). Quantifying the energy needs of the transport sector for South Africa: A bottom-up model. University of Cape Town, Cape Town. Available at: https://open.uct.ac.za/handle/11427/16905","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2,null,null,null,null,null,null,null,null,null,null,null],
    [309,"Africa","C�te d'Ivoire","CI","CIV",384,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [310,"Africa","C�te d'Ivoire","CI","CIV",384,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [311,"Africa","C�te d'Ivoire","CI","CIV",384,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [312,"Africa","C�te d'Ivoire","CI","CIV",384,"Load factor","Road","Minibus","All","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Merven, B., Stone, A., Hughes, A. and Cohen, B. (2012). Quantifying the energy needs of the transport sector for South Africa: A bottom-up model. University of Cape Town, Cape Town. Available at: https://open.uct.ac.za/handle/11427/16905","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,18,null,null,null,null,null,null,null,null,null,null,null],
    [313,"Africa","C�te d'Ivoire","CI","CIV",384,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [314,"Africa","C�te d'Ivoire","CI","CIV",384,"Load factor","Road","Bus","Diesel","Urban","NRG_LF_BUSDIEURB","passenger/vehicle","Merven, B., Stone, A., Hughes, A. and Cohen, B. (2012). Quantifying the energy needs of the transport sector for South Africa: A bottom-up model. University of Cape Town, Cape Town. Available at: https://open.uct.ac.za/handle/11427/16905","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,60,null,null,null,null,null,null,null,null,null,null,null],
    [315,"Africa","Cameroon","CM","CMR",120,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",11.780086,12.137912,12.499499,12.864091,13.230978,13.599984,13.970812,14.344444,14.723772,15.112598,15.513944,15.92891,16.357605,16.800869,17.259322,17.733408,18.223677,18.730283,19.252674,19.789922,20.341236,20.906392,21.485267,22.0773,22.681853,23.298376,23.926549,24.56607,25.216261,25.876387,26.545864,27.224262],
    [316,"Africa","Cameroon","CM","CMR",120,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",39.657,40.235,40.817,41.399,41.985,42.573,43.164,43.755,44.348,44.944,45.542,46.139,46.738,47.338,47.94,48.541,49.143,49.746,50.35,50.954,51.559,52.164,52.769,53.373,53.976,54.578,55.179,55.777,56.374,56.968,57.56,58.148],
    [317,"Africa","Cameroon","CM","CMR",120,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",60.343,59.765,59.183,58.601,58.015,57.427,56.836,56.245,55.652,55.056,54.458,53.861,53.262,52.662,52.06,51.459,50.857,50.254,49.65,49.046,48.441,47.836,47.231,46.627,46.024,45.422,44.821,44.223,43.626,43.032,42.44,41.852],
    [318,"Africa","Cameroon","CM","CMR",120,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",3.053590985,2.992329872,2.935478608,2.875122291,2.812111188,2.750771797,2.690167986,2.63923934,2.610064094,2.606537014,2.62105318,2.639646481,2.655722959,2.673768445,2.692179205,2.709791489,2.727136447,2.741994312,2.750833439,2.752285804,2.747733751,2.74047938,2.731249489,2.71824869,2.701524614,2.681848111,2.660502066,2.637754334,2.612284161,2.584178982,2.554309999,2.523460701],
    [319,"Africa","Cameroon","CM","CMR",120,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",15416.68919,14829.52926,14369.81337,13229.99021,13478.29189,13868.35384,14452.91496,15107.24377,15821.14184,16534.88168,17168.56743,17910.98113,18712.86056,19733.3016,21124.27496,21594.98089,22417.65967,23387.80384,24053.81316,24674.22156,25389.53335,26247.49933,27461.70306,28833.56044,30482.78766,32210.23291,33671.2228,34863.58024,36242.61413,37502.06671,37686.5449,39000.52369],
    [320,"Africa","Cameroon","CM","CMR",120,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",23.99487034,24.25902647,26.57966518,18.23672719,19.6097542,19.14485372,18.32231925,18.96788778,19.0010005,18.97879034,18.11774246,18.62095827,18.2716804,17.47378423,17.56095272,16.73417685,15.6250818,15.85753191,16.00119189,16.38719035,17.26971088,16.69739074,16.65724017,16.72366119,16.82583818,17.2094159,17.19266239,16.69294182,16.4988007,16.80228356,17.38179045,17.24972296],
    [321,"Africa","Cameroon","CM","CMR",120,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E",5.647021677,5.625411717,4.572340351,5.811230453,6.202349744,6.091308788,6.85228787,6.660779493,6.688542951,6.636527199,7.370845172,6.804653745,6.748966754,7.015217228,6.305951682,6.692330985,7.110240106,6.610315348,6.697871141,6.036733732,5.859195801,5.447713724,5.6827659,5.910062585,6.077440148,6.293401407,6.166447572,6.410474949,6.456578351,6.448354251,5.78169048,6.093263832],
    [322,"Africa","Cameroon","CM","CMR",120,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",5.647021677,5.625411717,4.572340351,5.811230453,6.202349744,6.091308788,6.85228787,6.660779493,6.688542951,6.636527199,7.370845172,6.804653745,6.748966754,7.015217228,6.305951682,6.692330985,7.110240106,6.610315348,6.697871141,6.036733732,5.859195801,5.447713724,5.6827659,5.910062585,6.077440148,6.293401407,6.166447572,6.410474949,6.456578351,6.448354251,5.78169048,6.093263832],
    [323,"Africa","Cameroon","CM","CMR",120,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",14.17621103,14.16681617,13.92983462,16.91058684,16.95158094,16.6691655,16.01316981,15.73851247,15.36409786,15.43274957,14.74026934,14.52944679,15.53069502,15.58054709,15.41079029,15.02614415,15.11457715,15.20996765,14.30569477,14.87929919,14.51997379,15.18908621,15.53277006,15.22873575,14.51402123,14.35005819,13.84153437,13.71294553,13.68501543,12.82578021,13.29065202,13.17495255],
    [324,"Africa","Cameroon","CM","CMR",120,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",44.8878536,44.6979222,45.77347915,47.41899461,44.83161563,45.91205441,45.10764732,45.31126127,45.56927279,45.67887849,45.02945268,46.4356337,45.95072432,45.90001699,48.11040194,48.16268604,47.92962074,49.1015544,49.59949992,50.62330927,50.63272793,51.77038188,50.76169207,50.3174153,50.42782014,49.56032169,50.46646052,50.3626878,50.44644882,51.02687348,51.98248609,51.295533],
    [325,"Africa","Cameroon","CM","CMR",120,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E",5.647021677,5.625411717,4.572340351,5.811230453,6.202349744,6.091308788,6.85228787,6.660779493,6.688542951,6.636527199,7.370845172,6.804653745,6.748966754,7.015217228,6.305951682,6.692330985,7.110240106,6.610315348,6.697871141,6.036733732,5.859195801,5.447713724,5.6827659,5.910062585,6.077440148,6.293401407,6.166447572,6.410474949,6.456578351,6.448354251,5.78169048,6.093263832],
    [326,"Africa","Cameroon","CM","CMR",120,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",-6.105697646,-3.808599373,-3.100003211,-7.932066574,1.876809226,2.894001377,4.21507215,4.527313766,4.725534848,4.511304221,3.832417795,4.324261192,4.477026829,5.453153691,7.048862823,2.228270206,3.809583273,4.327589013,2.847677889,2.579251775,2.899024724,3.379211288,4.625978719,4.995529159,5.719818144,5.666952991,4.535794236,3.541176549,3.95551424,3.475059979,0.491914742,3.486599241],
    [327,"Africa","Cameroon","CM","CMR",120,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,33017.43116,45809888889,null,null],
    [328,"Africa","Cameroon","CM","CMR",120,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","The World Bank (2023). Railways, passengers carried (million passenger-km). Available at: https://data.worldbank.org/indicator/IS.RRS.PASG.KM","A",null,null,null,null,null,399,334,317,281,248.8,327.1,302.8,308.5,319,308,324,361.935,370,377.477,435.3900423,463.485,494.747,null,null,null,null,null,262.124,256.872,254.555,225.373,null],
    [329,"Africa","Cameroon","CM","CMR",120,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UIC (2023). International Railway Statistics, Traffic on the national Territory - PKm, VAR 5113, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,327.1,302.8,308.5,319,308,324,361.935,370,377.477,435.3900423,463.485,494.747,null,null,null,null,null,262.124,256.872,254.555,225.373,null],
    [330,"Africa","Cameroon","CM","CMR",120,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,10.414163,311511111.1,null,null],
    [331,"Africa","Cameroon","CM","CMR",120,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","Ministry of Transport (2019). Transport Statistics Yearbook 2019 Edition. Available at: http://mintransports.net/Annuaire-Statisrique-du-MINT_Version_Anglaise_OK.pdf","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.516832,0.533788,0.511462,0.242634,0.218353,null,null,null],
    [332,"Africa","Cameroon","CM","CMR",120,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",456.6,471.35,515,399,334,317,301,306,null,249,327,303,308,319,318,324,362,370,379,377,377,495,495,null,null,null,null,null,null,null,null,null],
    [333,"Africa","Cameroon","CM","CMR",120,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,173,143.31696,118.985163,null,null],
    [334,"Africa","Cameroon","CM","CMR",120,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7119.457607,10393400000,null,null],
    [335,"Africa","Cameroon","CM","CMR",120,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","The World Bank (2023). Railways, goods transported (million ton-km). Available at: https://data.worldbank.org/indicator/IS.RRS.GOOD.MT.K6","A",null,null,null,null,null,812,607,869,837,612,1063,1159,1162,1062,1114,1119,1136.385798,1055,978,1018.255942,1081.346693,1056.962047,null,null,null,null,null,841.569,812.416,974.087,955.515,874.050746],
    [336,"Africa","Cameroon","CM","CMR",120,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,960,846,806,785,941,922,null],
    [337,"Africa","Cameroon","CM","CMR",120,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","National Institute of Statistics of Cameroon (2014). Cameroon Statistical Yearbook 2014. Available at: https://cameroon.opendataforafrica.org/ggtphlc;","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,978.4,1015.2,1077.8,1000.9,1094.3,1088.3,null,null,null,null,null,null,null,null],
    [338,"Africa","Cameroon","CM","CMR",120,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","Ministry of Transport (2019). Transport Statistics Yearbook 2019 Edition. Available at: http://mintransports.net/Annuaire-Statisrique-du-MINT_Version_Anglaise_OK.pdf","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,993,960,846,806,785,null,null,null],
    [339,"Africa","Cameroon","CM","CMR",120,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1822.465884,2434600000,null,null],
    [340,"Africa","Cameroon","CM","CMR",120,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",757,644,691,592,757,812,607,869,null,610,1048,1171,1078,1097,1052,1119,1136,1055,978,978,978,1057,1057,null,null,null,null,null,null,null,null,null],
    [341,"Africa","Cameroon","CM","CMR",120,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",13.10000038,9.600000382,9.300000191,21.70000076,25,38.90000153,41.59999847,34.40000153,51.59999847,46.5,42.03,36.88,42.717,20.254,22.825,24.399,29.001,26.095,25.522,23.105,0,0,0,0,null,null,null,null,0.066817,0.031566,0.024731,0.026099],
    [342,"Africa","Cameroon","CM","CMR",120,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.066817,null,null,null],
    [343,"Africa","Cameroon","CM","CMR",120,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",13.1,9.6,9.3,21.7,25,38.9,41.6,34.4,51.6,46.5,42.03,36.88,42.72,20.25,22.83,24.4,29,26.1,25.52,23.11,0,0,0,0,0,null,null,null,null,null,null,null],
    [344,"Africa","Cameroon","CM","CMR",120,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.099957,10258600000,null,null],
    [345,"Africa","Cameroon","CM","CMR",120,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,97199,101715,91671,null,null,null,null],
    [346,"Africa","Cameroon","CM","CMR",120,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","National Institute of Statistics of Cameroon (2014). Cameroon Statistical Yearbook 2014. Available at: https://cameroon.opendataforafrica.org/ggtphlc;","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,77448,29489,95383,97902,36452,100263,106432,54770,null,null,null,null,null,null,null],
    [347,"Africa","Cameroon","CM","CMR",120,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","Ministry of Transport (2019). Transport Statistics Yearbook 2019 Edition. Available at: http://mintransports.net/Annuaire-Statisrique-du-MINT_Version_Anglaise_OK.pdf","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,89573,97609,101720,92379,78074,null,null,null],
    [348,"Africa","Cameroon","CM","CMR",120,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,47118,52968,40529,null,null,null,null],
    [349,"Africa","Cameroon","CM","CMR",120,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","National Institute of Statistics of Cameroon (2014). Cameroon Statistical Yearbook 2014. Available at: https://cameroon.opendataforafrica.org/ggtphlc;","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,45421,47006,17246,47309,46817,null,null,null,null,null,null,null,null],
    [350,"Africa","Cameroon","CM","CMR",120,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,35365,35229,38641,null,null,null,null],
    [351,"Africa","Cameroon","CM","CMR",120,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","National Institute of Statistics of Cameroon (2014). Cameroon Statistical Yearbook 2014. Available at: https://cameroon.opendataforafrica.org/ggtphlc;","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,47892,47576,16288,42085,45480,null,null,null,null,null,null,null,null],
    [352,"Africa","Cameroon","CM","CMR",120,"Vehicle stock","Road","Minibus","All","All","ROAD_EQS_MINIBU","n","National Institute of Statistics of Cameroon (2014). Cameroon Statistical Yearbook 2014. Available at: https://cameroon.opendataforafrica.org/ggtphlc;","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1240,1183,355,881,672,null,null,null,null,null,null,null,null],
    [353,"Africa","Cameroon","CM","CMR",120,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1541,1537,1181,null,null,null,null],
    [354,"Africa","Cameroon","CM","CMR",120,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","National Institute of Statistics of Cameroon (2014). Cameroon Statistical Yearbook 2014. Available at: https://cameroon.opendataforafrica.org/ggtphlc;","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2529,1716,629,1345,1274,null,null,null,null,null,null,null,null],
    [355,"Africa","Cameroon","CM","CMR",120,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,5792,5698,5751,null,null,null,null],
    [356,"Africa","Cameroon","CM","CMR",120,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","National Institute of Statistics of Cameroon (2014). Cameroon Statistical Yearbook 2014. Available at: https://cameroon.opendataforafrica.org/ggtphlc;","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,6772,7158,2549,5791,5277,null,null,null,null,null,null,null,null],
    [357,"Africa","Cameroon","CM","CMR",120,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","National Institute of Statistics of Cameroon (2014). Cameroon Statistical Yearbook 2014. Available at: https://cameroon.opendataforafrica.org/ggtphlc;","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,5340,4552,1777,4067,4290,null,null,null,null,null,null,null,null],
    [358,"Africa","Cameroon","CM","CMR",120,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7383,6283,5569,null,null,null,null],
    [359,"Africa","Cameroon","CM","CMR",120,"Vehicle stock","Road","Trailer","All","All","ROAD_EQS_TRAILE","n","National Institute of Statistics of Cameroon (2014). Cameroon Statistical Yearbook 2014. Available at: https://cameroon.opendataforafrica.org/ggtphlc;","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3328,2372,764,1506,1848,null,null,null,null,null,null,null,null],
    [360,"Africa","Cameroon","CM","CMR",120,"Vehicle stock","Road","Agricultural and forestry tractors","All","All","ROAD_EQS_TRACTO","n","National Institute of Statistics of Cameroon (2014). Cameroon Statistical Yearbook 2014. Available at: https://cameroon.opendataforafrica.org/ggtphlc;","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2993,2248,760,1421,1760,null,null,null,null,null,null,null,null],
    [361,"Africa","Cameroon","CM","CMR",120,"Vehicle stock","Road","Special purpose vehicle","All","All","ROAD_EQS_SPECIA","n","National Institute of Statistics of Cameroon (2014). Cameroon Statistical Yearbook 2014. Available at: https://cameroon.opendataforafrica.org/ggtphlc;","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,273,311,301,503,635,null,null,null,null,null,null,null,null],
    [362,"Africa","Cameroon","CM","CMR",120,"Vehicle stock","Road","Special purpose vehicle","All","All","ROAD_EQS_SPECIA","n","Ministry of Transport (2019). Transport Statistics Yearbook 2019 Edition. Available at: http://mintransports.net/Annuaire-Statisrique-du-MINT_Version_Anglaise_OK.pdf","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2076,2314,1632,1224,1309,null,null,null],
    [363,"Africa","Cameroon","CM","CMR",120,"Vehicle stock","Road","Public","All","All","ROAD_EQS_PUBLIC","n","National Institute of Statistics of Cameroon (2014). Cameroon Statistical Yearbook 2014. Available at: https://cameroon.opendataforafrica.org/ggtphlc;","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,171,335,142,359,363,null,null,null,null,null,null,null,null],
    [364,"Africa","Cameroon","CM","CMR",120,"Vehicle stock","Road","All","Gasoline","All","ROAD_EQS_DIE","n","National Institute of Statistics of Cameroon (2014). Cameroon Statistical Yearbook 2014. Available at: https://cameroon.opendataforafrica.org/ggtphlc;","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,60247,22730,73265,76295,28301,79599,84340,43637,null,null,null,null,null,null,null],
    [365,"Africa","Cameroon","CM","CMR",120,"Vehicle stock","Road","All","Gasoline","All","ROAD_EQS_GAS","n","Ministry of Transport (2019). Transport Statistics Yearbook 2019 Edition. Available at: http://mintransports.net/Annuaire-Statisrique-du-MINT_Version_Anglaise_OK.pdf","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,70623,76827,83191,74391,53563,null,null,null],
    [366,"Africa","Cameroon","CM","CMR",120,"Vehicle stock","Road","All","Diesel","All","ROAD_EQS_DIE","n","National Institute of Statistics of Cameroon (2014). Cameroon Statistical Yearbook 2014. Available at: https://cameroon.opendataforafrica.org/ggtphlc;","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,17201,6759,22118,21607,8151,20664,22092,11133,null,null,null,null,null,null,null],
    [367,"Africa","Cameroon","CM","CMR",120,"Vehicle stock","Road","All","Diesel","All","ROAD_EQS_DIE","n","Ministry of Transport (2019). Transport Statistics Yearbook 2019 Edition. Available at: http://mintransports.net/Annuaire-Statisrique-du-MINT_Version_Anglaise_OK.pdf","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,16874,18468,16897,16744,23202,null,null,null],
    [368,"Africa","Cameroon","CM","CMR",120,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [369,"Africa","Cameroon","CM","CMR",120,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [370,"Africa","Cameroon","CM","CMR",120,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [371,"Africa","Cameroon","CM","CMR",120,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [372,"Africa","Cameroon","CM","CMR",120,"Load factor","Road","Car","All","Urban","NRG_LF_CARURB","passenger/vehicle","Merven, B., Stone, A., Hughes, A. and Cohen, B. (2012). Quantifying the energy needs of the transport sector for South Africa: A bottom-up model. University of Cape Town, Cape Town. Available at: https://open.uct.ac.za/handle/11427/16905","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.3,null,null,null,null,null,null,null,null,null,null,null],
    [373,"Africa","Cameroon","CM","CMR",120,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [374,"Africa","Cameroon","CM","CMR",120,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [375,"Africa","Cameroon","CM","CMR",120,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [376,"Africa","Cameroon","CM","CMR",120,"Load factor","Road","Minibus","All","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Merven, B., Stone, A., Hughes, A. and Cohen, B. (2012). Quantifying the energy needs of the transport sector for South Africa: A bottom-up model. University of Cape Town, Cape Town. Available at: https://open.uct.ac.za/handle/11427/16905","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,17,null,null,null,null,null,null,null,null,null,null,null],
    [377,"Africa","Cameroon","CM","CMR",120,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [378,"Africa","Cameroon","CM","CMR",120,"Load factor","Road","Bus","Diesel","Urban","NRG_LF_BUSDIEURB","passenger/vehicle","Merven, B., Stone, A., Hughes, A. and Cohen, B. (2012). Quantifying the energy needs of the transport sector for South Africa: A bottom-up model. University of Cape Town, Cape Town. Available at: https://open.uct.ac.za/handle/11427/16905","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,45,null,null,null,null,null,null,null,null,null,null,null],
    [379,"Africa","Democratic Republic of the Congo","CD","COD",180,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",34.612023,35.90824,37.333917,38.815835,40.252973,41.576239,42.757239,43.827191,44.849968,45.919615,47.10583,48.428534,49.87167,51.425583,53.068869,54.785894,56.578046,58.453687,60.411195,62.448572,64.563853,66.755151,69.020749,71.358804,73.767445,76.244532,78.78913,81.398765,84.068092,86.790568,89.561404,92.377986],
    [380,"Africa","Democratic Republic of the Congo","CD","COD",180,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",30.633,31.067,31.506,31.946,32.39,32.838,33.289,33.742,34.199,34.659,35.122,35.587,36.055,36.526,37,37.481,37.971,38.47,38.976,39.491,40.013,40.544,41.082,41.627,42.18,42.74,43.307,43.88,44.46,45.046,45.638,46.235],
    [381,"Africa","Democratic Republic of the Congo","CD","COD",180,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",69.367,68.933,68.494,68.054,67.61,67.162,66.711,66.258,65.801,65.341,64.878,64.413,63.945,63.474,63,62.519,62.029,61.53,61.024,60.509,59.987,59.456,58.918,58.373,57.82,57.26,56.693,56.12,55.54,54.954,54.362,53.765],
    [382,"Africa","Democratic Republic of the Congo","CD","COD",180,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",3.370795322,3.676568837,3.893542081,3.892606549,3.635558256,3.234496171,2.800968818,2.471590947,2.306845116,2.356949281,2.550440473,2.769241291,2.93639206,3.068266631,3.145471276,3.184226692,3.218827805,3.261373538,3.293966996,3.316893457,3.331133308,3.337675974,3.33757067,3.33135585,3.319678158,3.302819182,3.282934175,3.258505772,3.226698861,3.187086265,3.142651608,3.096423526],
    [383,"Africa","Democratic Republic of the Congo","CD","COD",180,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",29404.73364,26928.54588,24101.04625,20854.86415,20041.52512,20181.81556,19975.32074,18853.29767,18547.09107,17755.10416,16528.06182,16180.94392,16657.92016,17587.06934,18772.15184,19923.85173,20983.99581,22297.48436,23685.70216,24361.94412,26093.5854,27887.43352,29863.78775,32396.82128,35464.89359,37917.7049,38827.5019,40274.58257,42619.01479,44487.65781,45259.70675,47845.03338],
    [384,"Africa","Democratic Republic of the Congo","CD","COD",180,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",65.30919106,63.11790031,60.92660955,58.7353188,56.54402804,56.54398926,33.26198154,47.50000059,46.49996743,52.36616493,31.97235827,32.87090402,26.58377932,26.05383881,23.87935949,21.57938225,21.21006065,21.6022053,22.61867976,23.6746667,21.42849112,20.91707601,20.44106071,19.31666763,18.56251731,18.3703885,18.59975364,19.7026975,18.88734319,19.43498871,20.88341888,19.43382849],
    [385,"Africa","Democratic Republic of the Congo","CD","COD",180,"GDP","Construction","..","..","..","GDP_CON","%","n/a","A, E",2.013573878,2.24262057,2.471667261,2.700713953,2.929760644,3.086714616,8.126179906,5.441250068,5.523578536,4.774921952,4.535301671,4.258802425,4.715943945,4.55298193,6.10171967,6.204073498,6.267330971,5.9437295,7.912527677,6.365461016,8.990812839,10.2032744,10.33850934,10.98857349,11.39386891,10.46552646,9.769472248,9.019990496,10.2239997,9.294631202,8.139236186,10.06301625],
    [386,"Africa","Democratic Republic of the Congo","CD","COD",180,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","A, E",2.013573878,2.24262057,2.471667261,2.700713953,2.929760644,3.086714616,8.126179906,5.441250068,5.523578536,4.774921952,4.535301671,4.258802425,4.715943945,4.55298193,6.10171967,6.204073498,6.267330971,5.9437295,7.912527677,6.365461016,8.990812839,10.2032744,10.33850934,10.98857349,11.39386891,10.46552646,9.769472248,9.019990496,10.2239997,9.294631202,8.139236186,10.06301625],
    [387,"Africa","Democratic Republic of the Congo","CD","COD",180,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",5.304922062,5.940401721,6.632003532,7.149817808,7.882684319,8.403869583,8.838558515,6.250000078,5.943002492,5.014597361,9.908318104,19.80768858,21.21679056,18.29840586,17.64150584,16.40353329,15.47259661,17.00603069,14.91703195,18.87568198,16.22164855,15.3588925,15.36134868,15.38523319,15.55441347,17.1286573,18.26439236,19.48703808,18.21351466,19.47791945,18.99122966,17.4334844],
    [388,"Africa","Democratic Republic of the Congo","CD","COD",180,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",23.69886902,24.4701532,25.24143737,26.01272154,26.78400571,25.79199731,33.52092023,29.92624912,30.98629447,28.29447186,44.51341862,34.54500012,38.05159829,41.98880955,40.17397566,43.40486397,44.51534982,43.56057551,38.72670525,38.35326828,35.37742181,33.11420829,33.1820626,32.33237873,31.70146247,33.10437481,33.82743725,33.75029293,32.22714307,33.20319824,35.70764289,32.94363837],
    [389,"Africa","Democratic Republic of the Congo","CD","COD",180,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","A, E",1.659870093,1.986303636,2.256615027,2.700713953,2.929760644,3.086714616,8.126179906,5.441250068,5.523578536,4.774921952,4.535301671,4.258802425,4.715943945,4.55298193,6.10171967,6.204073498,6.267330971,5.9437295,7.912527677,6.365461016,8.990812839,10.2032744,10.33850934,10.98857349,11.39386891,10.46552646,9.769472248,9.019990496,10.2239997,9.294631202,8.139236186,10.06301625],
    [390,"Africa","Democratic Republic of the Congo","CD","COD",180,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",-6.568310695,-8.421051499,-10.50000856,-13.46905054,-3.899996803,0.69999883,-1.023172642,-5.617046599,-1.624154045,-4.270140831,-6.910927317,-2.100173025,2.947765184,5.577822311,6.738373933,6.135151155,5.320979565,6.259477764,6.225894269,2.85506401,7.107976576,6.87467089,7.086898947,8.481956636,9.470288097,6.91616712,2.399398914,3.726947653,5.8211211,4.384528881,1.735422764,5.712203681],
    [391,"Africa","Democratic Republic of the Congo","CD","COD",180,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,72063.73335,106698.1429,null,null],
    [392,"Africa","Democratic Republic of the Congo","CD","COD",180,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","The World Bank (2023). Railways, passengers carried (million passenger-km). Available at: https://data.worldbank.org/indicator/IS.RRS.PASG.KM","A",null,null,null,null,null,60,146,161,143,146,188,222,160,142,140,140.4,94.1,84.844512,89.075046,34.959846,36.68416,24.649634,22.242204,30,20,16.7,28.397202,22.724,29.514,27.368,5.359,7.24727],
    [393,"Africa","Democratic Republic of the Congo","CD","COD",180,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,16.7,null,null,null,null,null,null],
    [394,"Africa","Democratic Republic of the Congo","CD","COD",180,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UIC (2023). International Railway Statistics, Traffic on the national Territory - PKm, VAR 5113, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,188,222,160,142,140,140.4,94.1,84.844512,89.075046,34.959846,36.68416,24.649634,22.242204,30,20,16.7,28.397202,22.724,29.514,27.368,5.359,7.24727],
    [395,"Africa","Democratic Republic of the Congo","CD","COD",180,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,18.450953,4809,null,null],
    [396,"Africa","Democratic Republic of the Congo","CD","COD",180,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",205,199,189,173,186,161,157.51,155,119,93.1,125.91,182,148,10,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [397,"Africa","Democratic Republic of the Congo","CD","COD",180,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1344.194936,1136.038377,629.068126,null,null],
    [398,"Africa","Democratic Republic of the Congo","CD","COD",180,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3989.83,34253.2,null,null],
    [399,"Africa","Democratic Republic of the Congo","CD","COD",180,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","The World Bank (2023). Railways, goods transported (million ton-km). Available at: https://data.worldbank.org/indicator/IS.RRS.GOOD.MT.K6","A",null,null,null,null,null,null,null,null,null,null,362,409,430,403,491,427,323,299,275,152,193,158,170,174,148,133,174,194,188,null,null,null],
    [400,"Africa","Democratic Republic of the Congo","CD","COD",180,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,133,null,null,null,null,null,null],
    [401,"Africa","Democratic Republic of the Congo","CD","COD",180,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UIC (2023). International Railway Statistics, Global Traffic -Domestic traffic in millions of tonne kilometres, VAR 6757, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,234.9,288,null,225,230.356119,201.195843,121.839385,null,null,null,136.02925,135,105,126,128,124.693174,105,112.128549,143],
    [402,"Africa","Democratic Republic of the Congo","CD","COD",180,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3679.994569,12737.6,null,null],
    [403,"Africa","Democratic Republic of the Congo","CD","COD",180,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",289,274,266,168,175,312,454,505,527,538,537,699,606,129,null,675,675,675,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [404,"Africa","Democratic Republic of the Congo","CD","COD",180,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",57.29999924,33.20000076,28.5,22.10000038,43.09999847,null,null,null,null,null,null,7.400000095,null,null,null,null,null,null,null,null,0,0,0.206531325,0.081984,0.084444,0.085839769,0.058456882,0.228606,0.915105,0.7512,0.962586879,0.948713924],
    [405,"Africa","Democratic Republic of the Congo","CD","COD",180,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",17.7,16.1,15.2,14.3,14.5,15.3,16.5,15.3,13.6,13.8,12.29,7.36,null,null,null,null,null,null,null,null,15.38,2.71,0,4.56,4.72,null,null,null,null,null,null,null],
    [406,"Africa","Democratic Republic of the Congo","CD","COD",180,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.228606,0.893,0.7512,null,null],
    [407,"Africa","Democratic Republic of the Congo","CD","COD",180,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,21.428485,87.2,null,null],
    [408,"Africa","Democratic Republic of the Congo","CD","COD",180,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,53054,59187,null,null,null,null,null],
    [409,"Africa","Democratic Republic of the Congo","CD","COD",180,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,39856,45493,null,null,null,null,null],
    [410,"Africa","Democratic Republic of the Congo","CD","COD",180,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,761,902,null,null,null,null,null],
    [411,"Africa","Democratic Republic of the Congo","CD","COD",180,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A, E, W",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,6218,6396,null,null,null,null,null],
    [412,"Africa","Democratic Republic of the Congo","CD","COD",180,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A, E, W",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,6218,6396,null,null,null,null,null],
    [413,"Africa","Democratic Republic of the Congo","CD","COD",180,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [414,"Africa","Democratic Republic of the Congo","CD","COD",180,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [415,"Africa","Democratic Republic of the Congo","CD","COD",180,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [416,"Africa","Democratic Republic of the Congo","CD","COD",180,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [417,"Africa","Democratic Republic of the Congo","CD","COD",180,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [418,"Africa","Democratic Republic of the Congo","CD","COD",180,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [419,"Africa","Democratic Republic of the Congo","CD","COD",180,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [420,"Africa","Democratic Republic of the Congo","CD","COD",180,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [421,"Africa","Congo","CG","COG",178,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",2.35674,2.422312,2.489945,2.55988,2.632345,2.707532,2.785815,2.867283,2.951651,3.038432,3.12742,3.21793,3.310376,3.406915,3.510468,3.622775,3.745143,3.876123,4.011487,4.1454,4.273738,4.394842,4.510197,4.622757,4.736965,4.856093,4.980996,5.110701,5.244363,5.380504,5.518092,5.657017],
    [422,"Africa","Congo","CG","COG",178,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",54.324,54.743,55.162,55.58,55.996,56.413,56.832,57.299,57.766,58.231,58.695,59.156,59.617,60.076,60.533,60.988,61.441,61.893,62.346,62.8,63.256,63.712,64.169,64.627,65.085,65.543,66.001,66.459,66.916,67.373,67.829,68.283],
    [423,"Africa","Congo","CG","COG",178,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",45.676,45.257,44.838,44.42,44.004,43.587,43.168,42.701,42.234,41.769,41.305,40.844,40.383,39.924,39.467,39.012,38.559,38.107,37.654,37.2,36.744,36.288,35.831,35.373,34.915,34.457,33.999,33.541,33.084,32.627,32.171,31.717],
    [424,"Africa","Congo","CG","COG",178,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",2.734809305,2.744314784,2.753816589,2.769976051,2.791470151,2.816243494,2.850295086,2.882442178,2.899978333,2.897691806,2.886679062,2.85299122,2.832348241,2.874541163,2.994217219,3.149094483,3.321949373,3.437562679,3.432656825,3.283729022,3.048956839,2.794272642,2.590925272,2.465044708,2.440535492,2.483756987,2.53956659,2.570670576,2.581720867,2.562826461,2.525009828,2.486457312],
    [425,"Africa","Congo","CG","COG",178,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",5598.206071,5732.303677,5882.028472,5824.403227,5504.464346,5723.835105,5969.415195,5932.117563,6153.833588,5994.929336,6449.104007,6694.337759,7001.063616,7058.000752,7303.381438,7869.814099,8498.316212,7936.238019,8436.727025,9418.53332,10353.91286,10582.31183,11634.9506,11552.0592,12327.97397,11890.25918,10608.1042,10143.20075,9655.784294,9647.394774,9045.462978,8728.871773],
    [426,"Africa","Congo","CG","COG",178,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",12.86089239,11.31780929,11.52756311,11.24851993,10.31393786,10.4525658,8.986689236,9.139190086,10.95556908,8.355757952,5.304252999,5.799931651,6.261580123,6.275223939,5.509406303,6.104237867,4.813146418,4.919811081,4.248150972,5.279933275,4.038534521,3.983936192,3.798774923,4.260083078,4.547214356,5.936442719,7.007692541,7.424713125,6.909114704,7.625380487,7.766445432,7.907510378],
    [427,"Africa","Congo","CG","COG",178,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E",10.76552931,9.032565804,9.204877211,9.104065255,12.57583778,12.24515559,15.04706214,17.13505938,13.03364925,18.60208376,22.89203926,20.32579863,19.33266822,18.38271483,20.29481228,19.36035142,19.50913158,17.62503713,20.30865608,18.03762714,21.73870308,21.74561173,21.65275433,20.41112608,19.21853309,15.51272128,11.29337983,12.47302591,16.32980196,14.64502235,14.26836969,13.89171703],
    [428,"Africa","Congo","CG","COG",178,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",10.76552931,9.032565804,9.204877211,9.104065255,12.57583778,12.24515559,15.04706214,17.13505938,13.03364925,18.60208376,22.89203926,20.32579863,19.33266822,18.38271483,20.29481228,19.36035142,19.50913158,17.62503713,20.30865608,18.03762714,21.73870308,21.74561173,21.65275433,20.41112608,19.21853309,15.51272128,11.29337983,12.47302591,16.32980196,14.64502235,14.26836969,13.89171703],
    [429,"Africa","Congo","CG","COG",178,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",8.346456693,8.937166645,7.895414735,7.985791343,7.75683049,8.132929369,6.701546511,5.458434757,6.955916877,5.4647071,3.47655398,4.51105795,5.320917858,6.024214982,4.980047235,6.413569524,6.195278882,6.468566486,5.596268705,6.776695437,5.312176872,5.242004896,4.257282114,5.920856148,5.99121253,7.903723169,10.61295918,11.02414024,7.55983831,8.059074256,8.264342724,8.469611192],
    [430,"Africa","Congo","CG","COG",178,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",46.49606299,52.64732666,52.96239052,53.45349296,44.20171831,44.67903806,39.17057783,33.99719702,42.9875663,30.37328365,22.54307525,28.71161451,30.41949736,32.55241658,28.62610962,29.40113836,30.46417996,35.73651104,29.22961209,33.83048985,25.43317935,25.53722373,26.98567998,28.58568255,31.80597384,39.62167026,48.49920879,44.13206891,36.54164111,40.3804782,41.16410277,41.94772734],
    [431,"Africa","Congo","CG","COG",178,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E",10.76552931,9.032565804,9.204877211,9.104065255,12.57583778,12.24515559,15.04706214,17.13505938,13.03364925,18.60208376,22.89203926,20.32579863,19.33266822,18.38271483,20.29481228,19.36035142,19.50913158,17.62503713,20.30865608,18.03762714,21.73870308,21.74561173,21.65275433,20.41112608,19.21853309,15.51272128,11.29337983,12.47302591,16.32980196,14.64502235,14.26836969,13.89171703],
    [432,"Africa","Congo","CG","COG",178,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",1.000003566,2.395367453,2.611948055,-0.979683209,-5.493075745,3.985324378,4.290481559,-0.624812152,3.73755277,-2.582199358,7.575980395,3.802601899,4.581870061,0.813264076,3.476631621,7.755758978,7.986238363,-6.613994804,6.306375956,11.63728886,9.931265431,2.205919363,9.947153143,-0.712434452,6.716679334,-3.550581765,-10.78323827,-4.382530946,-4.805351558,-0.086885958,-6.239319632,-3.5],
    [433,"Africa","Congo","CG","COG",178,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,11115.8977,14763.68571,null,null],
    [434,"Africa","Congo","CG","COG",178,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","The World Bank (2023). Railways, passengers carried (million passenger-km). Available at: https://data.worldbank.org/indicator/IS.RRS.PASG.KM","A",null,null,null,null,null,302,360,234,242,8,84,171,76,59,135,168,211,199,233,207,null,265,266,null,null,null,null,null,null,null,null,null],
    [435,"Africa","Congo","CG","COG",178,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UIC (2023). International Railway Statistics, Traffic on the national Territory - PKm, VAR 5113, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,83.9,170.9,76,59,135,167.5,211,199,233,207,null,264.56,266.47,null,null,null,null,null,null,null,null,null],
    [436,"Africa","Congo","CG","COG",178,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.162052,28530.6,null,null],
    [437,"Africa","Congo","CG","COG",178,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",410,435,421,312,227,302,360,234,42,8,83.9,170.9,76,59,135,167.5,211,null,211,null,null,207,207,null,null,null,null,null,null,null,null,null],
    [438,"Africa","Congo","CG","COG",178,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,428.063111,428.063111,331.036002,null,null],
    [439,"Africa","Congo","CG","COG",178,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1765.219,8144.6,null,null],
    [440,"Africa","Congo","CG","COG",178,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","The World Bank (2023). Railways, goods transported (million ton-km). Available at: https://data.worldbank.org/indicator/IS.RRS.GOOD.MT.K6","A",null,null,null,null,null,267,289,139,135,20,85,228,307,247,231,264,237,224,253,257,null,null,null,null,null,null,null,null,null,null,null,null],
    [441,"Africa","Congo","CG","COG",178,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","African Development Bank Group (2022). AFDB Socio Economic Database, 1960-2021. Available at: https://dataportal.opendataforafrica.org/nbyenxf/afdb-socio-economic-database-1960-2021","A",null,null,null,null,null,null,null,null,null,null,85,228,307,247,231,263.9,234.2,null,234,257,null,null,null,null,null,null,null,null,null,null,null,null],
    [442,"Africa","Congo","CG","COG",178,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UIC (2023). International Railway Statistics, Global Traffic -Domestic traffic in millions of tonne kilometres, VAR 6757, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,231,263.9,234.2,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [443,"Africa","Congo","CG","COG",178,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,933.0362,2098.4,null,null],
    [444,"Africa","Congo","CG","COG",178,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",421,399,339,259,222,267,289,144,135,20,85,228,307,247,231,263.9,234.2,null,234,null,null,257,257,null,null,null,null,null,null,null,null,null],
    [445,"Africa","Congo","CG","COG",178,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",18,17,16,15,15,16,17,16,14,14,12,7,0,0,null,null,null,null,null,null,2,1,2,2,2,4,5,5,5,4,1,null],
    [446,"Africa","Congo","CG","COG",178,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,4.597161,4.597161,4.151109,null,null],
    [447,"Africa","Congo","CG","COG",178,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",18.4,16.8,15.8,14.9,15.1,16,17.2,15.6,13.8,13.7,12.27,7.36,0,0,null,null,null,null,null,null,1.87,1.43,1.6,2.38,1.99,null,null,null,null,null,null,null],
    [448,"Africa","Congo","CG","COG",178,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.360564,6,null,null],
    [449,"Africa","Congo","CG","COG",178,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [450,"Africa","Congo","CG","COG",178,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [451,"Africa","Congo","CG","COG",178,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [452,"Africa","Congo","CG","COG",178,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [453,"Africa","Congo","CG","COG",178,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [454,"Africa","Congo","CG","COG",178,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [455,"Africa","Congo","CG","COG",178,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [456,"Africa","Congo","CG","COG",178,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [457,"South America","Colombia","CO","COL",170,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",33.102569,33.758328,34.422568,35.091272,35.758978,36.421438,37.076387,37.723803,38.364307,38.999468,39.629965,40.255956,40.875363,41.483872,42.075953,42.647731,43.200901,43.737512,44.254972,44.750054,45.222699,45.662747,46.075721,46.495492,46.967706,47.520667,48.175048,48.909844,49.661056,50.339443,50.882884,51.265841],
    [458,"South America","Colombia","CO","COL",170,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",69.481,69.949,70.415,70.874,71.328,71.777,72.223,72.662,73.098,73.53,73.957,74.379,74.797,75.211,75.62,76.024,76.423,76.816,77.204,77.587,77.964,78.335,78.701,79.061,79.415,79.764,80.108,80.446,80.778,81.104,81.425,81.74],
    [459,"South America","Colombia","CO","COL",170,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",30.519,30.051,29.585,29.126,28.672,28.223,27.777,27.338,26.902,26.47,26.043,25.621,25.203,24.789,24.38,23.976,23.577,23.184,22.796,22.413,22.036,21.665,21.299,20.939,20.585,20.236,19.892,19.554,19.222,18.896,18.575,18.26],
    [460,"South America","Colombia","CO","COL",170,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",1.967944384,1.961624977,1.948525335,1.92400428,1.88489319,1.835618684,1.782274066,1.731097655,1.68362476,1.642048288,1.603751902,1.567244404,1.526954184,1.477721528,1.417166465,1.34976822,1.288727946,1.234478054,1.176159467,1.11249247,1.050649962,0.968365031,0.900335047,0.906920982,1.01048975,1.170445199,1.367649952,1.513747435,1.524235944,1.356788043,1.073767493,0.749806313],
    [461,"South America","Colombia","CO","COL",170,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",120484.0568,122895.6748,127866.7181,134752.8651,142588.2886,150006.3553,153090.2681,158341.7138,159243.9197,152549.2811,157011.1362,159645.6234,163643.1187,170055.101,179124.1771,187773.6557,200386.1656,213888.5755,220911.4918,223429.1066,233471.483,249692.8295,259462.4004,272783.1833,285055.7805,293481.7482,299607.8349,303680.5866,311467.9416,321393.9745,298741.6412,330298.5951],
    [462,"South America","Colombia","CO","COL",170,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",17.066781,17.45479816,16.79394339,14.96782924,14.83153787,14.01806597,12.76881903,12.60647115,13.23578965,13.00077152,8.305719533,8.320972677,8.510005177,8.328774165,7.910983162,7.527266702,7.186769531,6.934558676,6.68738485,6.689740696,6.324853876,6.091696108,5.582687054,5.392714954,5.446957215,5.980424808,6.606412266,6.389663553,6.22570969,6.410720822,7.390867702,7.391630702],
    [463,"South America","Colombia","CO","COL",170,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E",5.532248977,5.33403605,5.049453884,5.846031476,5.781820215,5.76232987,5.201971414,5.070097254,4.598826092,4.975000881,6.855735278,6.792383769,6.999479598,7.510326975,7.841015677,7.77039356,8.107968819,7.985419107,8.642462344,8.350047384,8.769682265,9.750203143,9.780242368,9.531251532,9.216549592,8.46771187,8.065731091,8.197469918,8.323251916,8.175387491,7.281460885,7.715048638],
    [464,"South America","Colombia","CO","COL",170,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",5.532248977,5.33403605,5.049453884,5.846031476,5.781820215,5.76232987,5.201971414,5.070097254,4.598826092,4.975000881,6.855735278,6.792383769,6.999479598,7.510326975,7.841015677,7.77039356,8.107968819,7.985419107,8.642462344,8.350047384,8.769682265,9.750203143,9.780242368,9.531251532,9.216549592,8.46771187,8.065731091,8.197469918,8.323251916,8.175387491,7.281460885,7.715048638],
    [465,"South America","Colombia","CO","COL",170,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",18.03330754,17.90812716,16.84221079,15.83214607,14.99697584,14.76150465,14.40920351,13.78880337,14.05131564,13.84937572,13.93270065,14.13719665,14.03292802,14.23745617,14.41341036,15.99104031,15.97860609,16.15426622,15.37370371,14.78007233,13.9670257,13.21760258,13.08928488,12.6623563,12.26931864,12.40089376,12.29777884,11.40959357,11.15185297,10.92694054,10.87192694,11.52258488],
    [466,"South America","Colombia","CO","COL",170,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",48.30316453,48.63496653,51.21548417,51.66193026,52.82602565,53.93343978,57.21606322,58.39443372,58.91641643,58.22485012,57.19437398,57.16467937,56.45862801,54.90278874,54.15255945,53.17051231,52.51071792,52.95491778,52.0115244,53.48004482,53.39907363,51.44009189,51.98730096,53.35117415,54.63407537,56.21554582,56.89861562,57.60833313,57.65268159,58.13617617,59.89282271,57.94063851],
    [467,"South America","Colombia","CO","COL",170,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E",5.532248977,5.33403605,5.049453884,5.846031476,5.781820215,5.76232987,5.201971414,5.070097254,4.598826092,4.975000881,6.855735278,6.792383769,6.999479598,7.510326975,7.841015677,7.77039356,8.107968819,7.985419107,8.642462344,8.350047384,8.769682265,9.750203143,9.780242368,9.531251532,9.216549592,8.46771187,8.065731091,8.197469918,8.323251916,8.175387491,7.281460885,7.715048638],
    [468,"South America","Colombia","CO","COL",170,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",4.281998331,2.001607597,4.044929438,5.385409939,5.814661908,5.202437593,2.055854712,3.430293678,0.56978409,-4.204015244,2.924861483,1.677898308,2.503980466,3.918271904,5.333022067,4.828761108,6.716868698,6.738194691,3.283446186,1.139648645,4.494658971,6.947891982,3.912635767,5.13399352,4.499030001,2.955901375,2.087382502,1.359360868,2.564324283,3.186855392,-7.048151208,10.5632927],
    [469,"South America","Colombia","CO","COL",170,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,178158.0673,276168.0048,null,null],
    [470,"South America","Colombia","CO","COL",170,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,544.409722,6706.685714,null,null],
    [471,"South America","Colombia","CO","COL",170,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,33545.48941,36063.34794,39097.85349,null,null],
    [472,"South America","Colombia","CO","COL",170,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,86455,92701,null,null],
    [473,"South America","Colombia","CO","COL",170,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,246.9896,null,null],
    [474,"South America","Colombia","CO","COL",170,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,15320.0339,16542.2,null,null],
    [475,"South America","Colombia","CO","COL",170,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,50,null,null],
    [476,"South America","Colombia","CO","COL",170,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1349,1547.674684,null,null],
    [477,"South America","Colombia","CO","COL",170,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",464,526,528,492,566,498,311,812,790,637,601,611,539,646,1114,1092,1051,1070,1100,2420,955,968,918,1222,1315,1317,1143,1274,1350,1548,1497,1605],
    [478,"South America","Colombia","CO","COL",170,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,6819,14064.2,null,null],
    [479,"South America","Colombia","CO","COL",170,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,5.039,4.857,null,null],
    [480,"South America","Colombia","CO","COL",170,"Freight activity","All","All","All","All","TRAN_GO_NAT","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,301.847,null,null],
    [481,"South America","Colombia","CO","COL",170,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,12012416,12839608,13579204,14387837,15121624,15806587,null],
    [482,"South America","Colombia","CO","COL",170,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,6825884,7398986,7899676,8450799,8978337,9496550,null],
    [483,"South America","Colombia","CO","COL",170,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3019099,3165613,3299597,3439197,3548476,3625604,null],
    [484,"South America","Colombia","CO","COL",170,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,184172,188610,192458,195555,194456,192183,null],
    [485,"South America","Colombia","CO","COL",170,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1630923,1725489,1820105,1928195,2022248,2107202,null],
    [486,"South America","Colombia","CO","COL",170,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,352338,360910,367368,374091,378107,385048,null],
    [487,"South America","Colombia","CO","COL",170,"Energy intensity","Road","Car","All","All","NRG_EIP_CAR","MJ/passenger-km","Goes, G. V., Gon�alves, D. N. S., de Almeida D�Agosto, M., La Rovere, E. L., & de Mello Bandeira, R. A. (2020). MRV framework and prospective scenarios to monitor and ratchet up Brazilian transport mitigation targets, Climatic Change, doi:10.1007/s10584-020-02767-6. Available at: https://link.springer.com/article/10.1007/s10584-020-02767-6","D, I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.1,null,null,null,null,1.1,null,null,null,null,1.1,null,1.1,null,null,null,null],
    [488,"South America","Colombia","CO","COL",170,"Load factor","Road","Car","All","Urban","NRG_LF_CARELEURB","passenger/vehicle","Oviedo, D., Granada, I. and Perez-Jaramillo, D. (2020). Ridesourcing and Travel Demand: Potential Effects of Transportation Network Companies in Bogot�, Sustainability, 12, 1732. https://doi.org/10.3390/su12051732. Available at: https://www.mdpi.com/2071-1050/12/5/1732","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.2,null,null,null],
    [489,"South America","Colombia","CO","COL",170,"Load factor","Road","Bus","All","Urban","NRG_LF_BUSURB","passenger/vehicle","Oviedo, D., Granada, I. and Perez-Jaramillo, D. (2020). Ridesourcing and Travel Demand: Potential Effects of Transportation Network Companies in Bogot�, Sustainability, 12, 1732. https://doi.org/10.3390/su12051732. Available at: https://www.mdpi.com/2071-1050/12/5/1732","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,36,null,null,null],
    [490,"Africa","Djibouti","DJ","DJI",262,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",0.590393,0.606843,0.61505,0.618504,0.622364,0.630385,0.643649,0.660858,0.680465,0.699973,0.717577,0.733019,0.746947,0.759639,0.771599,0.783248,0.794554,0.805456,0.816361,0.82782,0.840194,0.853671,0.868136,0.883296,0.898707,0.913998,0.929117,0.9441,0.958923,0.973557,0.988002,1.002197],
    [491,"Africa","Djibouti","DJ","DJI",262,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",75.957,76.114,76.161,76.207,76.254,76.3,76.347,76.393,76.439,76.485,76.532,76.578,76.624,76.67,76.716,76.761,76.807,76.853,76.899,76.944,76.999,77.064,77.138,77.222,77.314,77.417,77.528,77.648,77.777,77.915,78.062,78.217],
    [492,"Africa","Djibouti","DJ","DJI",262,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",24.043,23.886,23.839,23.793,23.746,23.7,23.653,23.607,23.561,23.515,23.468,23.422,23.376,23.33,23.284,23.239,23.193,23.147,23.101,23.056,23.001,22.936,22.862,22.778,22.686,22.583,22.472,22.352,22.223,22.085,21.938,21.783],
    [493,"Africa","Djibouti","DJ","DJI",262,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",4.59912906,2.748169166,1.34334568,0.560009376,0.62214715,1.280561327,2.082280262,2.638544429,2.923739725,2.826537487,2.483849608,2.129136347,1.882260972,1.684908828,1.562166459,1.498439134,1.433157458,1.362762573,1.344808243,1.393908035,1.48370781,1.591305611,1.680251075,1.731198085,1.729669839,1.687131961,1.640628949,1.599741998,1.557868695,1.514559503,1.472834732,1.426514707],
    [494,"Africa","Djibouti","DJ","DJI",262,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A, G, U",2697.96898,2697.96898,2697.96898,2697.96898,2697.96898,2697.96898,2697.96898,2697.96898,2697.96898,2697.96898,2697.96898,2697.96898,2697.96898,2697.96898,2697.96898,2697.96898,2697.96898,2697.96898,2697.96898,2697.96898,2697.96898,2697.96898,2697.96898,2105.985489,2254.700565,2424.391785,2597.091694,2738.843335,2869.607134,3028.730597,3065.136606,3197.233617],
    [495,"Africa","Djibouti","DJ","DJI",262,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E, G, U",1.298542004,1.298542004,1.298542004,1.298542004,1.298542004,1.298542004,1.298542004,1.298542004,1.298542004,1.298542004,1.298542004,1.298542004,1.298542004,1.298542004,1.298542004,1.298542004,1.298542004,1.298542004,1.298542004,1.298542004,1.298542004,1.298542004,1.298542004,1.194871772,1.227403863,1.059007526,0.99558772,1.294240952,1.416710012,1.519351222,1.681162964,1.750633135],
    [496,"Africa","Djibouti","DJ","DJI",262,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E, G, U",5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.429120252,5.222458193,5.306312052,5.16145677,5.464535415,5.916136816,5.931050985,5.538401717,5.554013355],
    [497,"Africa","Djibouti","DJ","DJI",262,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E, G, U",5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.429120252,5.222458193,5.306312052,5.16145677,5.464535415,5.916136816,5.931050985,5.538401717,5.554013355],
    [498,"Africa","Djibouti","DJ","DJI",262,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E, G, U",3.10783833,3.10783833,3.10783833,3.10783833,3.10783833,3.10783833,3.10783833,3.10783833,3.10783833,3.10783833,3.10783833,3.10783833,3.10783833,3.10783833,3.10783833,3.10783833,3.10783833,3.10783833,3.10783833,3.10783833,3.10783833,3.10783833,3.10783833,1.95812435,2.782301739,2.735558076,2.835573147,3.101527096,3.315832272,3.7029574,4.430832558,4.784076588],
    [499,"Africa","Djibouti","DJ","DJI",262,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E, G, U",79.10506759,79.10506759,79.10506759,79.10506759,79.10506759,79.10506759,79.10506759,79.10506759,79.10506759,79.10506759,79.10506759,79.10506759,79.10506759,79.10506759,79.10506759,79.10506759,79.10506759,79.10506759,79.10506759,79.10506759,79.10506759,79.10506759,79.10506759,80.55964312,80.32291982,80.28649824,80.68446882,79.21062571,77.51904727,76.98453842,77.27279933,76.80325021],
    [500,"Africa","Djibouti","DJ","DJI",262,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E, G, U",5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.496184025,5.429120252,5.222458193,5.306312052,5.16145677,5.464535415,5.916136816,5.931050985,5.538401717,5.554013355],
    [501,"Africa","Djibouti","DJ","DJI",262,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A, G, U",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-21.94181978,7.061543242,7.526108919,7.123432337,5.458091517,4.774416888,5.5451306,1.202022033,4.309661446],
    [502,"Africa","Djibouti","DJ","DJI",262,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1166.197884,1296.745455,null,null],
    [503,"Africa","Djibouti","DJ","DJI",262,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","The World Bank (2023). Railways, passengers carried (million passenger-km). Available at: https://data.worldbank.org/indicator/IS.RRS.PASG.KM","A",null,null,null,null,null,null,null,null,null,150,145,173,127,82,null,145,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [504,"Africa","Djibouti","DJ","DJI",262,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.501202,15,null,null],
    [505,"Africa","Djibouti","DJ","DJI",262,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UIC (2023). International Railway Statistics, Traffic on the national Territory - PKm, VAR 5113, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,145,173,127,82,145,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [506,"Africa","Djibouti","DJ","DJI",262,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1104.01,2302.4,null,null],
    [507,"Africa","Djibouti","DJ","DJI",262,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1541.592204,3791,null,null],
    [508,"Africa","Djibouti","DJ","DJI",262,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","The World Bank (2023). Railways, goods transported (million ton-km). Available at: https://data.worldbank.org/indicator/IS.RRS.GOOD.MT.K6","A",null,null,null,null,null,null,null,null,null,null,118,91,85,97,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [509,"Africa","Djibouti","DJ","DJI",262,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","Djibouti Data Portal (2022), Transports. Available at: https://djibouti.opendataforafrica.org/acqjnyc/transports","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,97,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [510,"Africa","Djibouti","DJ","DJI",262,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",0.100000002,0.100000002,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [511,"Africa","Djibouti","DJ","DJI",262,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,null,null,null],
    [512,"Africa","Djibouti","DJ","DJI",262,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [513,"Africa","Djibouti","DJ","DJI",262,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [514,"Africa","Djibouti","DJ","DJI",262,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [515,"Africa","Djibouti","DJ","DJI",262,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [516,"Africa","Djibouti","DJ","DJI",262,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [517,"Africa","Djibouti","DJ","DJI",262,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [518,"Africa","Djibouti","DJ","DJI",262,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [519,"Africa","Djibouti","DJ","DJI",262,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [520,"Africa","Algeria","DZ","DZA",12,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",25.758872,26.400468,27.02833,27.635517,28.213777,28.757788,29.266415,29.74298,30.19275,30.623406,31.042238,31.451513,31.85511,32.264159,32.692153,33.14972,33.641007,34.166976,34.730604,35.333882,35.977451,36.661438,37.383899,38.140135,38.923688,39.72802,40.551398,41.389174,42.228415,43.053054,43.851043,44.616626],
    [521,"Africa","Algeria","DZ","DZA",12,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",52.085,52.871,53.657,54.439,55.219,55.997,56.774,57.544,58.313,59.118,59.919,60.712,61.501,62.284,63.061,63.83,64.593,65.348,66.097,66.826,67.54,68.236,68.915,69.576,70.221,70.848,71.459,72.052,72.629,73.189,73.733,74.261],
    [522,"Africa","Algeria","DZ","DZA",12,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",47.915,47.129,46.343,45.561,44.781,44.003,43.226,42.456,41.687,40.882,40.081,39.288,38.499,37.716,36.939,36.17,35.407,34.652,33.903,33.174,32.46,31.764,31.085,30.424,29.779,29.152,28.541,27.948,27.371,26.811,26.267,25.739],
    [523,"Africa","Algeria","DZ","DZA",12,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",2.566460252,2.460262581,2.350383791,2.221621809,2.070861147,1.909821277,1.753199533,1.615252491,1.500869157,1.41627892,1.35841747,1.309829687,1.275071861,1.275917694,1.317809403,1.389919045,1.471149912,1.551379427,1.636169438,1.722107572,1.805004747,1.883308586,1.951463675,2.002703605,2.033587155,2.045372088,2.051352373,2.044909313,2.007398663,1.933983344,1.836533504,1.730806566],
    [524,"Africa","Algeria","DZ","DZA",12,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",80470.65596,79505.00762,80936.09959,79236.44088,78523.31565,81507.19755,84848.9914,85782.33026,90157.2322,93042.26503,96577.8711,99475.20723,105045.8188,112609.1178,117451.3099,124380.9371,126495.4131,130796.2571,133935.3673,136078.3332,140977.1532,145065.4906,149997.7173,154197.6534,160057.1642,165979.2793,171290.6162,173517.3942,175426.0855,177180.3464,168144.1487,174613.9883],
    [525,"Africa","Algeria","DZ","DZA",12,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",11.59932955,11.54462403,11.48991851,11.43521299,11.38050747,11.32580195,11.27109643,11.21639091,11.16168539,11.10697987,8.395048495,9.749419994,9.224982107,9.810558037,9.440477389,7.691314872,7.543077591,7.570625794,6.586675992,9.343365411,8.466443577,8.11058988,8.770686355,9.851117128,10.28639707,11.57870734,12.2200948,11.75590331,11.87420085,12.33621211,14.13479259,12.29601339],
    [526,"Africa","Algeria","DZ","DZA",12,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E",5.254583944,5.242425266,5.230266587,5.218107908,5.205949229,5.19379055,5.181631871,5.169473192,5.157314513,5.145155835,4.504669238,4.749577312,5.316273888,4.893696837,4.710161367,4.183734498,3.87280754,3.801803351,3.691119694,4.676245629,4.417424894,3.943024105,4.321922933,4.79857973,4.962775652,5.576343224,5.600680041,5.563296648,5.429470323,5.801048577,6.099611252,12.8597688],
    [527,"Africa","Algeria","DZ","DZA",12,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",5.254583944,5.242425266,5.230266587,5.218107908,5.205949229,5.19379055,5.181631871,5.169473192,5.157314513,5.145155835,4.504669238,4.749577312,5.316273888,4.893696837,4.710161367,4.183734498,3.87280754,3.801803351,3.691119694,4.676245629,4.417424894,3.943024105,4.321922933,4.79857973,4.962775652,5.576343224,5.600680041,5.563296648,5.429470323,5.801048577,6.099611252,12.8597688],
    [528,"Africa","Algeria","DZ","DZA",12,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",36.60486394,36.36866271,36.13246148,35.89626025,35.66005902,35.42385778,35.18765655,34.95145532,34.71525409,34.47905286,44.98039779,40.2337955,38.77373461,41.06504534,42.84511093,48.7973262,49.87942321,47.80111722,48.95478003,35.86954286,39.03524177,39.59350399,37.75906102,33.54889581,30.93603438,23.17309737,21.68468255,23.91892299,26.54995282,23.86191483,18.8249165,16.82675586],
    [529,"Africa","Algeria","DZ","DZA",12,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",36.03205467,36.35943746,36.68682025,37.01420304,37.34158583,37.66896862,37.99635141,38.32373419,38.65111698,38.97849977,33.11054601,35.76805257,36.05246162,34.44330611,33.58392758,30.96015543,30.95907658,33.22284694,33.3851849,40.75835484,39.24603997,40.46683381,40.50448382,42.20424787,43.8892416,48.51916562,49.29318253,47.63528376,45.28743536,46.39872732,48.74145715,32.29792434],
    [530,"Africa","Algeria","DZ","DZA",12,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E",5.254583944,5.242425266,5.230266587,5.218107908,5.205949229,5.19379055,5.181631871,5.169473192,5.157314513,5.145155835,4.504669238,4.749577312,5.316273888,4.893696837,4.710161367,4.183734498,3.87280754,3.801803351,3.691119694,4.676245629,4.417424894,3.943024105,4.321922933,4.79857973,4.962775652,5.576343224,5.600680041,5.563296648,5.429470323,5.801048577,6.099611252,12.8597688],
    [531,"Africa","Algeria","DZ","DZA",12,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",0.80000058,-1.200000586,1.800002303,-2.100000758,-0.899996552,3.79999479,4.09999847,1.099999939,5.100003609,3.200001552,3.8,3,5.6,7.2,4.3,5.9,1.7,3.4,2.4,1.6,3.6,2.899999999,3.4,2.8,3.8,3.7,3.2,1.3,1.1,1,-5.1,3.84779349],
    [532,"Africa","Algeria","DZ","DZA",12,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,169902.6339,196673.2127,null,null],
    [533,"Africa","Algeria","DZ","DZA",12,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","The World Bank (2023). Railways, passengers carried (million passenger-km). Available at: https://data.worldbank.org/indicator/IS.RRS.PASG.KM","A",null,null,null,null,null,1797,1826,1360,1163,1069,1142,981,955,964,950,929,821,758,937,1141,1045,1040,1141,null,1186,1269,1337,1550,1602,null,null,null],
    [534,"Africa","Algeria","DZ","DZA",12,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1146.737687,24509.94286,null,null],
    [535,"Africa","Algeria","DZ","DZA",12,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1269,1337,null,null,null,null,null],
    [536,"Africa","Algeria","DZ","DZA",12,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UIC (2023). International Railway Statistics, Global Traffic -Domestic traffic in millions of tonne kilometres, VAR 6757, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,1142,981,954.868,964,950,929,821,757.531,937.081,1141,1045,1040,1141,null,1186,1269,1337,1550,1602,1454,348,null],
    [537,"Africa","Algeria","DZ","DZA",12,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",2991,3192,2904,3010,2234,1797,1826,1360,1163,1069,1142,null,null,null,950,929,821,821,937,1141,1045,1040,1040,null,null,null,null,null,null,null,null,null],
    [538,"Africa","Algeria","DZ","DZA",12,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7589.83309,7879.47742,8186.91128,null,null],
    [539,"Africa","Algeria","DZ","DZA",12,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","Algeria Data Portal (2023). Dataset Browser. Available at: https://algeria.opendataforafrica.org/data/#menu=topic","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1175,1120,1402,1512,1435,1822,null,null,null,null,null,null,null,null,null,null],
    [540,"Africa","Algeria","DZ","DZA",12,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2664,2727,null,null,null,null,null],
    [541,"Africa","Algeria","DZ","DZA",12,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,16984.8,34220.4,null,null],
    [542,"Africa","Algeria","DZ","DZA",12,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,928,825,null,null,null,null,null],
    [543,"Africa","Algeria","DZ","DZA",12,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UIC (2023). International Railway Statistics, Global Traffic -Domestic traffic in millions of tonne kilometres, VAR 6757, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,1945,1471,1429,1424.881,1562.16,1184,null,null,null,null,null,null,null,null,null,null,null,null],
    [544,"Africa","Algeria","DZ","DZA",12,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,5572.004985,8450.8,null,null],
    [545,"Africa","Algeria","DZ","DZA",12,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",null,null,null,null,null,1946,2139,2023,2174,2033,1980,1990,2247,2038,1945,1471,1429,1424.881,1562.16,1184,1281,1248,1253,null,928,1011,885,1009,1026,908,null,null],
    [546,"Africa","Algeria","DZ","DZA",12,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",2680,2704,2522,2296,2279,1946,2139,2023,2174,2033,1980,null,null,null,1945,1471,1429,1429,1562,1184,1281,1248,1248,null,null,null,null,null,null,null,null,null],
    [547,"Africa","Algeria","DZ","DZA",12,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","Algeria Data Portal (2023). Dataset Browser. Available at: https://algeria.opendataforafrica.org/data/#menu=topic","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,17,null,null,null,null,null,null,null,null],
    [548,"Africa","Algeria","DZ","DZA",12,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,24.80375,28.28048,25.641745,null,null],
    [549,"Africa","Algeria","DZ","DZA",12,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",14.60000038,24.29999924,20.20000076,21.29999924,24.20000076,21,16,16.79999924,18.79999924,15.39999962,12.647,18.346,17.89,19.091,21.44,31.624,23.694,16.572,16.985,4.317,15.906,14.826,14.926,17.50241863,21.66233319,21.90164517,21.591025,24.80375,28.28048,25.641745,15.638799,12.694836],
    [550,"Africa","Algeria","DZ","DZA",12,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",14.6,24.3,20.2,21.3,24.2,21,16,16.8,18.8,15.4,12.65,18.35,17.89,19.09,21.44,31.62,23.69,16.57,16.99,4.32,15.91,14.83,14.93,14,14,null,null,null,null,null,null,null],
    [551,"Africa","Algeria","DZ","DZA",12,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,5387164,5672680,5841990,6092199,null,null,null],
    [552,"Africa","Algeria","DZ","DZA",12,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,23436,38933,77568,139780,null,null,null],
    [553,"Africa","Algeria","DZ","DZA",12,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3655033,3872709,3984250,4151041,null,null,null],
    [554,"Africa","Algeria","DZ","DZA",12,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,83682,86200,86741,87968,null,null,null],
    [555,"Africa","Algeria","DZ","DZA",12,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1140565,1178745,1190641,1204552,null,null,null],
    [556,"Africa","Algeria","DZ","DZA",12,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,484448,496093,502790,508858,null,null,null],
    [557,"Africa","Algeria","DZ","DZA",12,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [558,"Africa","Algeria","DZ","DZA",12,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [559,"Africa","Algeria","DZ","DZA",12,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [560,"Africa","Algeria","DZ","DZA",12,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [561,"Africa","Algeria","DZ","DZA",12,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [562,"Africa","Algeria","DZ","DZA",12,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [563,"Africa","Algeria","DZ","DZA",12,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [564,"Africa","Algeria","DZ","DZA",12,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [565,"Africa","Egypt","EG","EGY",818,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",56.134478,57.424552,58.666812,59.880656,61.095804,62.334025,63.601632,64.892269,66.200259,67.515591,68.831561,70.152662,71.485044,72.826102,74.172073,75.523576,76.87367,78.232124,79.636081,81.134789,82.761244,84.529251,86.42224,88.404652,90.424668,92.442549,94.447071,96.44259,98.423602,100.388076,102.334403,104.258327],
    [566,"Africa","Egypt","EG","EGY",818,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",43.478,43.345,43.212,43.079,42.946,42.814,42.681,42.658,42.704,42.75,42.797,42.843,42.889,42.935,42.981,43.027,43.073,43.078,43.058,43.039,43.019,43,42.946,42.893,42.839,42.785,42.732,42.705,42.704,42.73,42.783,42.862],
    [567,"Africa","Egypt","EG","EGY",818,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",56.522,56.655,56.788,56.921,57.054,57.186,57.319,57.342,57.296,57.25,57.203,57.157,57.111,57.065,57.019,56.973,56.927,56.922,56.942,56.961,56.981,57,57.054,57.107,57.161,57.215,57.268,57.295,57.296,57.27,57.217,57.138],
    [568,"Africa","Egypt","EG","EGY",818,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",2.426660158,2.272174221,2.140223658,2.04793311,2.008967478,2.006423487,2.013170601,2.008936449,1.995588043,1.967417366,1.930382623,1.901137787,1.881449991,1.85861819,1.831326977,1.805716775,1.771855275,1.751693087,1.778691301,1.864456434,1.98480508,2.113775596,2.214740995,2.26795426,2.259251359,2.207025339,2.145222268,2.090832668,2.033272399,1.976280224,1.920247637,1.862582116],
    [569,"Africa","Egypt","EG","EGY",818,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",115166.1832,116462.2687,121671.462,125200.8966,130175.3437,136218.6804,143014.2634,150869.114,159280.8177,168922.7844,179683.1723,186035.4252,190482.0514,196565.0095,204608.5905,213758.1638,228387.4266,244575.1333,262077.6234,274326.0827,288446.2904,293536.1327,300070.8335,306628.7797,315569.8048,329366.5768,343682.9676,358053.112,377080.4877,398037.4293,412246.0499,425960.4127],
    [570,"Africa","Egypt","EG","EGY",818,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",18.5125262,16.9866672,15.58590942,15.73904639,15.71428571,15.71078431,16.11508282,15.75103422,15.88448156,15.90864759,15.53807704,15.35126847,15.40485616,15.28670659,14.26993612,13.9818013,13.23720253,13.42012621,12.63024009,12.99794665,13.34075916,13.8691051,11.27276527,11.2743496,11.33770423,11.39406277,11.76931793,11.4852853,11.22500023,11.0489759,11.56760913,11.83150585],
    [571,"Africa","Egypt","EG","EGY",818,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E",4.961029923,6.109333926,7.190510424,7.079037801,7.120571429,6.758169935,6.538070328,6.593832268,6.282834609,6.194007369,6.645986475,6.830889323,6.89638427,7.501740519,7.800673123,7.793141442,8.698413469,8.105316864,8.393031826,8.216612295,8.10808332,8.215892349,6.930043192,6.605509568,6.522286385,6.245979786,5.635358382,6.276778098,7.026602245,7.522209916,6.764764099,6.813241808],
    [572,"Africa","Egypt","EG","EGY",818,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",4.961029923,6.109333926,7.190510424,7.079037801,7.120571429,6.758169935,6.538070328,6.593832268,6.282834609,6.194007369,6.645986475,6.830889323,6.89638427,7.501740519,7.800673123,7.793141442,8.698413469,8.105316864,8.393031826,8.216612295,8.10808332,8.215892349,6.930043192,6.605509568,6.522286385,6.245979786,5.635358382,6.276778098,7.026602245,7.522209916,6.764764099,6.813241808],
    [573,"Africa","Egypt","EG","EGY",818,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",16.97494739,16.01777751,15.62185478,15.73453608,16.01714286,16.33823529,16.53705318,16.31553215,16.97912317,17.95351105,17.99797118,17.69807639,17.91546582,17.30383234,17.23696682,16.70954503,15.97756192,15.36992481,15.52236739,15.78615429,16.10227084,15.76719422,16.16546844,16.60837992,16.77444601,16.6974467,16.84132649,16.4435072,16.19348964,15.91269958,16.37759137,15.49889076],
    [574,"Africa","Egypt","EG","EGY",818,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",49.62943664,48.66755351,47.22070453,47.28930412,46.90685714,47.67647059,47.73365301,48.15193682,48.28789144,47.55581925,46.52599236,46.45798718,45.9905252,44.90423952,45.09107768,45.92922934,44.68999514,46.89399839,46.66829704,46.56606218,46.23272004,45.71602363,51.77163671,52.30074178,52.32099061,53.17055117,54.48328043,53.2408732,51.5017034,50.47169477,51.76050721,52.22987797],
    [575,"Africa","Egypt","EG","EGY",818,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E",4.961029923,6.109333926,7.190510424,7.079037801,7.120571429,6.758169935,6.538070328,6.593832268,6.282834609,6.194007369,6.645986475,6.830889323,6.89638427,7.501740519,7.800673123,7.793141442,8.698413469,8.105316864,8.393031826,8.216612295,8.10808332,8.215892349,6.930043192,6.605509568,6.522286385,6.245979786,5.635358382,6.276778098,7.026602245,7.522209916,6.764764099,6.813241808],
    [576,"Africa","Egypt","EG","EGY",818,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",5.667029157,1.125404593,4.472859189,2.900790794,3.973172185,4.64245877,4.98873057,5.49235474,5.575497461,6.053438783,6.370003834,3.535251969,2.390204028,3.193454739,4.092071612,4.471744469,6.843838197,7.087827427,7.156283564,4.6735998,5.147234859,1.764571949,2.226199797,2.185466054,2.91591188,4.372019078,4.346643456,4.181221,5.314121037,5.557683888,3.569669475,3.326742091],
    [577,"Africa","Egypt","EG","EGY",818,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,28549,32554,null,null,null,null,null],
    [578,"Africa","Egypt","EG","EGY",818,"Passenger activity","Road","Private","All","All","ROAD_PA_PRIVAT","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,78,140,null,null,null,null,null],
    [579,"Africa","Egypt","EG","EGY",818,"Passenger activity","Road","Public","All","All","ROAD_PA_PUBLIC","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,246,257,null,null,null,null,null],
    [580,"Africa","Egypt","EG","EGY",818,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","The World Bank (2023). Railways, passengers carried (million passenger-km). Available at: https://data.worldbank.org/indicator/IS.RRS.PASG.KM","A",null,null,null,null,null,52406,55438,60617,64860,67981,73565,46059,40837,null,41046,40800,40830,null,40837,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [581,"Africa","Egypt","EG","EGY",818,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",34876,42589,44523,46851,26127,29110,29669,32480,33121,33969,34960,38160,39083,46185,40837,40837,40837,40837,40837,40837,40837,40837,40837,null,null,null,null,null,null,null,null,null],
    [582,"Africa","Egypt","EG","EGY",818,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,23227.98271,25737.06724,26454.01351,null,null],
    [583,"Africa","Egypt","EG","EGY",818,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,39536.6,57239.4,null,null],
    [584,"Africa","Egypt","EG","EGY",818,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","The World Bank (2023). Railways, goods transported (million ton-km). Available at: https://data.worldbank.org/indicator/IS.RRS.GOOD.MT.K6","A",null,null,null,null,null,null,null,null,null,null,4012,4022,4188,null,3840,3840,4188,null,3840,null,1592,null,null,null,null,null,null,null,null,null,null,null],
    [585,"Africa","Egypt","EG","EGY",818,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","African Development Bank Group (2022). AFDB Socio Economic Database, 1960-2021. Available at: https://dataportal.opendataforafrica.org/nbyenxf/afdb-socio-economic-database-1960-2021 ","I",null,null,null,null,null,null,null,null,null,null,3980,4299,4254,4188,4188,3917,3917,3917,4188,3840,3840,1592,1592,null,null,null,null,null,null,null,null,null],
    [586,"Africa","Egypt","EG","EGY",818,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,5458.6,7385,null,null],
    [587,"Africa","Egypt","EG","EGY",818,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1511,1459,1461,1395,null,null,null],
    [588,"Africa","Egypt","EG","EGY",818,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UIC (2023). International Railway Statistics, Global Traffic -Domestic traffic in millions of tonne kilometres, VAR 6757, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,3840,3840,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [589,"Africa","Egypt","EG","EGY",818,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",2828,3211,2972,3621,4129.541,4257,4352,4144,4159,3562,3980,4299,4254,4188,4188,3917,3917,3917,4188,3840,3840,1592,1592,null,null,null,null,null,null,null,null,null],
    [590,"Africa","Egypt","EG","EGY",818,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,403.828739,437.625328,483.413879,null,null],
    [591,"Africa","Egypt","EG","EGY",818,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","Knoema (2020). Egypt - Air transport freight. Available at: https://knoema.com/atlas/Egypt/Air-transport-freight","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,438.9,null],
    [592,"Africa","Egypt","EG","EGY",818,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","Egypt Data Portal (2023). Dataset Browser. Available at: https://egypt.opendataforafrica.org/data/#topic=Transport","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,369.91,null,null,376.02,null,null,null,null,null],
    [593,"Africa","Egypt","EG","EGY",818,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",144,128.1999969,109.1999969,122.8000031,185.1999969,164.1000061,198,208.6000061,255.1000061,269.5,278.061,239.036,249.206,238.885,241.872,286.954,309.434,206.828,195.482,180.31,416.985099,333.306675,356.265454,386.683475,418.691607,377.360015,374.357162,403.828739,437.625328,483.413879,438.908903,null],
    [594,"Africa","Egypt","EG","EGY",818,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,937,909,null,null,null,null,null],
    [595,"Africa","Egypt","EG","EGY",818,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,11557.24072,5525,null,null],
    [596,"Africa","Egypt","EG","EGY",818,"Vehicle Stock","Road","All","All","All","ROAD_EQS_TOTAL","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,5787042,6173298,6628663,7040075,7343380,6776959,null],
    [597,"Africa","Egypt","EG","EGY",818,"Vehicle Stock","Road","Car","All","All","ROAD_EQS_CAR","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,4437570,4728030,5121748,5401937,5618427,5190990,null],
    [598,"Africa","Egypt","EG","EGY",818,"Vehicle Stock","Road","Bus","All","All","ROAD_EQS_BUS","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,137489,142768,155788,150572,159576,183245,null],
    [599,"Africa","Egypt","EG","EGY",818,"Vehicle Stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A, E, W",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,605991,651250,675563,743783,782688,701362,null],
    [600,"Africa","Egypt","EG","EGY",818,"Vehicle Stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A, E, W",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,605991,651250,675563,743783,782688,701362,null],
    [601,"Africa","Egypt","EG","EGY",818,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELE","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [602,"Africa","Egypt","EG","EGY",818,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [603,"Africa","Egypt","EG","EGY",818,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPET","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [604,"Africa","Egypt","EG","EGY",818,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPET","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [605,"Africa","Egypt","EG","EGY",818,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELE","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [606,"Africa","Egypt","EG","EGY",818,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [607,"Africa","Egypt","EG","EGY",818,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPET","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [608,"Africa","Egypt","EG","EGY",818,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPET","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [609,"Africa","Eritrea","ER","ERI",232,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",2.14996,2.03922,1.921153,1.981419,2.0425,2.15722,2.264073,2.291561,2.322753,2.356477,2.39288,2.461927,2.547424,2.65339,2.76314,2.831732,2.880093,2.926168,3.005779,3.083888,3.147727,3.20757,3.252596,3.296367,3.323425,3.340006,3.365287,3.396933,3.445374,3.498818,3.555868,3.620312],
    [610,"Africa","Eritrea","ER","ERI",232,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",18.905,19.59,20.294,21.015,21.755,22.514,23.293,24.088,24.903,25.735,26.587,27.455,28.341,29.244,30.164,31.099,32.051,33.017,34,34.585,35.175,35.771,36.372,36.979,37.59,38.206,38.827,39.451,40.08,40.712,41.347,41.985],
    [611,"Africa","Eritrea","ER","ERI",232,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",81.095,80.41,79.706,78.985,78.245,77.486,76.707,75.912,75.097,74.265,73.413,72.545,71.659,70.756,69.836,68.901,67.949,66.983,66,65.415,64.825,64.229,63.628,63.021,62.41,61.794,61.173,60.549,59.92,59.288,58.653,58.015],
    [612,"Africa","Eritrea","ER","ERI",232,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",2.24976452,-5.288185552,-5.964185517,3.088772806,3.036129306,5.464580796,4.834504792,1.206784109,1.351987538,1.441458699,1.532995431,2.844671522,3.413827587,4.075541524,4.052964648,2.452082437,1.693404671,1.587113192,2.684305178,2.565436957,2.04894665,1.883303605,1.393980561,1.336750621,0.817492474,0.497672572,0.754064581,0.935971649,1.415949601,1.539273546,1.617399943,1.796101337],
    [613,"Africa","Eritrea","ER","ERI",232,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",1017.845342,1087.614449,1154.926146,1310.318716,1588.386838,1633.788955,1785.058837,1926.23351,1960.3776,1960.64186,1899.038769,2065.307885,2127.379251,2070.886356,2100.95015,2155.038051,2134.151054,2164.601595,1952.837971,2028.539765,2073.049789,2252.986366,2284.181535,2315.376704,2346.571872,2377.767041,2408.96221,2440.157378,2471.352547,2502.547715,2533.742884,2564.938053],
    [614,"Africa","Eritrea","ER","ERI",232,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",28.31131875,27.53323112,27.3517172,19.43513447,21.91316561,18.81166707,16.22737377,15.11534275,23.36708701,22.72233597,12.59042177,15.1638444,13.60181006,11.82992122,10.6422743,22.60000021,24.5999999,24.26598059,16.77630738,14.12422744,13.60496489,13.08570235,12.5664398,12.04717726,11.52791471,11.00865217,10.48938962,9.970127077,9.450864532,8.931601987,8.412339442,7.893076897],
    [615,"Africa","Eritrea","ER","ERI",232,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E",16.02095538,16.24324537,16.31682444,18.18339737,17.78059355,18.26629362,18.78827746,18.82265824,17.01146254,17.026618,19.52551988,18.97608584,19.32106328,19.76757386,20.1943903,17.64298025,17.35380546,17.56766856,19.17494563,20.09575436,20.25009842,20.40444247,20.55878652,20.71313058,20.86747463,21.02181869,21.17616274,21.3305068,21.48485085,21.6391949,21.79353896,21.94788301],
    [616,"Africa","Eritrea","ER","ERI",232,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",16.02095538,16.24324537,16.31682444,18.18339737,17.78059355,18.26629362,18.78827746,18.82265824,17.01146254,17.026618,19.52551988,18.97608584,19.32106328,19.76757386,20.1943903,17.64298025,17.35380546,17.56766856,19.17494563,20.09575436,20.25009842,20.40444247,20.55878652,20.71313058,20.86747463,21.02181869,21.17616274,21.3305068,21.48485085,21.6391949,21.79353896,21.94788301],
    [617,"Africa","Eritrea","ER","ERI",232,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",7.60485974,7.493787391,7.380985046,7.831276057,6.964460186,8.123158435,8.6195164,9.59402427,8.587062851,9.171192024,9.30749871,8.931812254,9.113936833,9.099783356,8.580164513,6.828078795,5.984778258,5.463345188,6.523910093,5.492755114,5.394641442,5.296527771,5.198414099,5.100300428,5.002186757,4.904073085,4.805959414,4.707845742,4.609732071,4.511618399,4.413504728,4.315391056],
    [618,"Africa","Eritrea","ER","ERI",232,"GDP","Service","..","..","..","GDP_SER","%","n/a","E",16.02095538,16.24324537,16.31682444,18.18339737,17.78059355,18.26629362,18.78827746,18.82265824,17.01146254,17.026618,19.52551988,18.97608584,19.32106328,19.76757386,20.1943903,17.64298025,17.35380546,17.56766856,19.17494563,20.09575436,20.25009842,20.40444247,20.55878652,20.71313058,20.86747463,21.02181869,21.17616274,21.3305068,21.48485085,21.6391949,21.79353896,21.94788301],
    [619,"Africa","Eritrea","ER","ERI",232,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E",16.02095538,16.24324537,16.31682444,18.18339737,17.78059355,18.26629362,18.78827746,18.82265824,17.01146254,17.026618,19.52551988,18.97608584,19.32106328,19.76757386,20.1943903,17.64298025,17.35380546,17.56766856,19.17494563,20.09575436,20.25009842,20.40444247,20.55878652,20.71313058,20.86747463,21.02181869,21.17616274,21.3305068,21.48485085,21.6391949,21.79353896,21.94788301],
    [620,"Africa","Eritrea","ER","ERI",232,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",6.854588223,6.854588223,6.18892997,13.4547625,21.22141119,2.858379059,9.258838563,7.908684578,1.772583091,0.013480096,-3.141985903,8.755435528,3.005429192,-2.655515925,1.451735566,2.574449551,-0.969217111,1.426822211,-9.783030018,3.876501528,2.194190349,8.679800101,1.384614176,1.365704439,1.347304245,1.329393273,1.311952268,1.294962972,1.278408061,1.262271086,1.246536417,1.231189195],
    [621,"Africa","Eritrea","ER","ERI",232,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2364.733161,9105.036364,null,null],
    [622,"Africa","Eritrea","ER","ERI",232,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.240655,12.6,null,null],
    [623,"Africa","Eritrea","ER","ERI",232,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,100.845765,100.845765,75.017341,null,null],
    [624,"Africa","Eritrea","ER","ERI",232,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,169.445,476.8,null,null],
    [625,"Africa","Eritrea","ER","ERI",232,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.032206,null,null,null],
    [626,"Africa","Eritrea","ER","ERI",232,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,0,null,null],
    [627,"Africa","Eritrea","ER","ERI",232,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,72405,null,null,null,null,null],
    [628,"Africa","Eritrea","ER","ERI",232,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,4035,null,null,null,null,null],
    [629,"Africa","Eritrea","ER","ERI",232,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,42468,null,null,null,null,null],
    [630,"Africa","Eritrea","ER","ERI",232,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,4765,null,null,null,null,null],
    [631,"Africa","Eritrea","ER","ERI",232,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,21137,null,null,null,null,null],
    [632,"Africa","Eritrea","ER","ERI",232,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [633,"Africa","Eritrea","ER","ERI",232,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [634,"Africa","Eritrea","ER","ERI",232,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [635,"Africa","Eritrea","ER","ERI",232,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [636,"Africa","Eritrea","ER","ERI",232,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [637,"Africa","Eritrea","ER","ERI",232,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [638,"Africa","Eritrea","ER","ERI",232,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [639,"Africa","Eritrea","ER","ERI",232,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [640,"Africa","Ethiopia","ET","ETH",231,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",47.887864,49.609976,51.423591,53.295556,55.180993,57.047906,58.883531,60.697443,62.507724,64.343008,66.224809,68.159422,70.14209,72.170581,74.239508,76.34631,78.489205,80.674343,82.916236,85.233923,87.639962,90.139928,92.726982,95.385793,98.094264,100.835453,103.603461,106.399926,109.22441,112.078727,114.963583,117.876226],
    [641,"Africa","Ethiopia","ET","ETH",231,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",12.621,12.867,13.116,13.37,13.627,13.827,14.006,14.186,14.369,14.553,14.74,14.927,15.118,15.31,15.504,15.7,15.899,16.116,16.51,16.91,17.319,17.735,18.16,18.575,18.998,19.428,19.866,20.31,20.763,21.225,21.695,22.174],
    [642,"Africa","Ethiopia","ET","ETH",231,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",87.379,87.133,86.884,86.63,86.373,86.173,85.994,85.814,85.631,85.447,85.26,85.073,84.882,84.69,84.496,84.3,84.101,83.884,83.49,83.09,82.681,82.265,81.84,81.425,81.002,80.572,80.134,79.69,79.237,78.775,78.305,77.826],
    [643,"Africa","Ethiopia","ET","ETH",231,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",3.431842834,3.532983139,3.59050935,3.575591455,3.476561369,3.327280671,3.167007106,3.034012992,2.938856113,2.893813924,2.88268787,2.879425139,2.867363938,2.850945567,2.826396381,2.798323914,2.768139897,2.745949471,2.741029927,2.756861848,2.783756927,2.812613737,2.829627968,2.827014885,2.799924688,2.756111616,2.708072653,2.663414482,2.619969171,2.579697088,2.541386464,2.50197331],
    [644,"Africa","Ethiopia","ET","ETH",231,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",13224.51,12280.61328,11215.57953,12689.62453,13094.41906,13896.78108,15623.61925,16113.24892,15556.03035,16359.05532,17352.57633,18793.06685,19077.73026,18665.39188,21198.77145,23704.20463,26272.4905,29282.31089,32441.43935,35297.11431,39727.09217,44167.90422,47987.46138,53065.62413,58508.82679,64589.33498,70682.35869,77442.55352,82721.15243,89640.02051,95071.78524,100431.2698],
    [645,"Africa","Ethiopia","ET","ETH",231,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",49.49124803,58.66606232,63.83133629,59.94529819,52.69945117,51.92470392,51.16536843,54.02898929,49.06190786,45.48546315,44.66601795,42.34057112,38.69237169,37.28505541,38.67975495,41.17449856,42.52417012,42.26501219,45.18455837,45.88269426,41.44682007,41.24996386,44.33094275,41.23950553,38.52044969,36.05697539,34.6988796,33.77928067,31.21880078,33.63332906,35.55826935,37.57383326],
    [646,"Africa","Ethiopia","ET","ETH",231,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E",3.192595287,2.813567977,2.075571679,2.466765541,3.076419042,3.352566162,3.449291946,3.766826037,4.280314186,4.307406767,4.093581373,4.461305802,4.699332135,4.731583763,5.298627207,4.945863297,4.755152123,4.680398253,4.269058894,3.822078152,4.27473324,4.545809387,4.555825344,5.129402496,5.865405523,6.664232105,7.62837722,7.800158756,8.847951741,7.874906386,7.436792595,7.189602059],
    [647,"Africa","Ethiopia","ET","ETH",231,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",3.192595287,2.813567977,2.075571679,2.466765541,3.076419042,3.352566162,3.449291946,3.766826037,4.280314186,4.307406767,4.093581373,4.461305802,4.699332135,4.731583763,5.298627207,4.945863297,4.755152123,4.680398253,4.269058894,3.822078152,4.27473324,4.545809387,4.555825344,5.129402496,5.865405523,6.664232105,7.62837722,7.800158756,8.847951741,7.874906386,7.436792595,7.189602059],
    [648,"Africa","Ethiopia","ET","ETH",231,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",4.625179632,3.2210119,3.113509185,3.946225979,4.273618031,4.886131944,5.212365334,7.301088422,5.256874359,5.733774368,5.60524515,5.776228139,5.766490583,5.770037501,5.350705611,4.842961246,4.637738366,4.579682468,4.108135336,3.880255796,3.97390612,3.682551396,3.420060719,3.702189003,3.991325246,4.404619139,5.69139881,6.186588505,5.827616845,5.594368896,5.303280868,4.605303499],
    [649,"Africa","Ethiopia","ET","ETH",231,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",36.30578648,29.67222185,26.82843948,28.7081792,33.79767367,33.13146565,33.27439039,27.36944418,32.84027522,35.85854218,37.44799278,38.49928333,41.44314132,42.7501558,40.07365782,39.1449503,38.57263514,39.11411058,37.90012961,38.77081548,41.75507409,41.43005659,38.5815205,39.67009798,39.8920085,39.54570915,36.72458993,36.63365456,36.40972715,37.14758289,36.828072,36.25205707],
    [650,"Africa","Ethiopia","ET","ETH",231,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E",3.192595287,2.813567977,2.075571679,2.466765541,3.076419042,3.352566162,3.449291946,3.766826037,4.280314186,4.307406767,4.093581373,4.461305802,4.699332135,4.731583763,5.298627207,4.945863297,4.755152123,4.680398253,4.269058894,3.822078152,4.27473324,4.545809387,4.555825344,5.129402496,5.865405523,6.664232105,7.62837722,7.800158756,8.847951741,7.874906386,7.436792595,7.189602059],
    [651,"Africa","Ethiopia","ET","ETH",231,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",2.726451783,-7.1374797,-8.672480148,13.14283398,3.189964582,6.127511414,12.42617378,3.133906851,-3.458139134,5.162145821,6.07321748,8.301306321,1.514725706,-2.161359722,13.57260314,11.81876595,10.83472707,11.456167,10.78852169,8.802553198,12.55053835,11.17829623,8.647811633,10.58227005,10.25749296,10.39246302,9.433482658,9.564189643,6.816147797,8.364085699,6.059530886,5.637303008],
    [652,"Africa","Ethiopia","ET","ETH",231,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,33969.69987,null,null,null],
    [653,"Africa","Ethiopia","ET","ETH",231,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","The Federal Democratic Republic of Ethiopia (2020). Transport Sector - Ten Years Perspective Plan (2020/21 - 2029/30). Available at: http://www.motr.gov.et/web/guest/-/ministry-of-transport-10-year-pl-2?inheritRedirect=true","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,51.8725,null,null],
    [654,"Africa","Ethiopia","ET","ETH",231,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,397.991825,null,null,null],
    [655,"Africa","Ethiopia","ET","ETH",231,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",null,157,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [656,"Africa","Ethiopia","ET","ETH",231,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,34903.16604,42558.92359,null,null,null],
    [657,"Africa","Ethiopia","ET","ETH",231,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,27234.77665,null,null,null],
    [658,"Africa","Ethiopia","ET","ETH",231,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","The Federal Democratic Republic of Ethiopia (2020). Transport Sector - Ten Years Perspective Plan (2020/21 - 2029/30). Available at: http://www.motr.gov.et/web/guest/-/ministry-of-transport-10-year-pl-2?inheritRedirect=true","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,671.31935,null,null],
    [659,"Africa","Ethiopia","ET","ETH",231,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,788.911615,null,null,null],
    [660,"Africa","Ethiopia","ET","ETH",231,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",null,50,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [661,"Africa","Ethiopia","ET","ETH",231,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",66.59999847,68.40000153,94.40000153,92.5,110.3000031,114.6999969,118.0999985,137.3999939,126.6999969,101.5,78.254,79.223,83.493,93.469,117.155,132.601,157.184,160.322,227.762,424.472,407.062,505.565,703.644,790.74339,950.1573,1228.73832,1500.14753,2076.18502,2089.27754,2450.27296,2897.1341,3716.82165],
    [662,"Africa","Ethiopia","ET","ETH",231,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2076.18502,2089.27754,null,null,null],
    [663,"Africa","Ethiopia","ET","ETH",231,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,15.054919,null,null,null],
    [664,"Africa","Ethiopia","ET","ETH",231,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","Desta, D. (2021). Assessment of after-sales service management in the case of Motor and Engineering Company of Ethiopia (MOENCO). Available at: http://213.55.95.56/bitstream/handle/123456789/27454/Dawit%20Desta.pdf?sequence=1&isAllowed=y","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1071345,null,null],
    [665,"Africa","Ethiopia","ET","ETH",231,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","Addis Ababa Institute of Technology (2012). Final report on pilot Global Fuel Economy Initiative study in Ethiopia. Available at: https://www.globalfueleconomy.org/in-country/africa","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,350419,null,null,null,null,null,null,null,null,null,null,null],
    [666,"Africa","Ethiopia","ET","ETH",231,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","TricksFast (2020). Ethiopia registered vehicle reaches 1.2 million. Available at: https://tricksfast.com/ethiopia/ethiopia-registered-vehicle-reaches-1-2-million/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,243435,null],
    [667,"Africa","Ethiopia","ET","ETH",231,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","Addis Ababa Institute of Technology (2012). Final report on pilot Global Fuel Economy Initiative study in Ethiopia. Available at: https://www.globalfueleconomy.org/in-country/africa","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,43808,null,null,null,null,null,null,null,null,null,null,null],
    [668,"Africa","Ethiopia","ET","ETH",231,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","TricksFast (2020). Ethiopia registered vehicle reaches 1.2 million. Available at: https://tricksfast.com/ethiopia/ethiopia-registered-vehicle-reaches-1-2-million/","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,456648,null],
    [669,"Africa","Ethiopia","ET","ETH",231,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","TricksFast (2020). Ethiopia registered vehicle reaches 1.2 million. Available at: https://tricksfast.com/ethiopia/ethiopia-registered-vehicle-reaches-1-2-million/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,711,null],
    [670,"Africa","Ethiopia","ET","ETH",231,"Vehicle stock","Road","All","Gasoline","All","ROAD_EQS_GAS","n","Addis Ababa Institute of Technology (2012). Final report on pilot Global Fuel Economy Initiative study in Ethiopia. Available at: https://www.globalfueleconomy.org/in-country/africa","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,152909,null,null,null,null,null,null,null,null,null,null,null],
    [671,"Africa","Ethiopia","ET","ETH",231,"Vehicle stock","Road","All","Diesel","All","ROAD_EQS_DIE","n","Addis Ababa Institute of Technology (2012). Final report on pilot Global Fuel Economy Initiative study in Ethiopia. Available at: https://www.globalfueleconomy.org/in-country/africa","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,153702,null,null,null,null,null,null,null,null,null,null,null],
    [672,"Africa","Ethiopia","ET","ETH",231,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [673,"Africa","Ethiopia","ET","ETH",231,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [674,"Africa","Ethiopia","ET","ETH",231,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [675,"Africa","Ethiopia","ET","ETH",231,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [676,"Africa","Ethiopia","ET","ETH",231,"Load factor","Road","Car","All","Urban","NRG_LF_CARURB","passenger/vehicle","Merven, B., Stone, A., Hughes, A. and Cohen, B. (2012). Quantifying the energy needs of the transport sector for South Africa: A bottom-up model. University of Cape Town, Cape Town. Available at: https://open.uct.ac.za/handle/11427/16905","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3.7,null,null,null,null,null,null,null,null,null,null,null],
    [677,"Africa","Ethiopia","ET","ETH",231,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [678,"Africa","Ethiopia","ET","ETH",231,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [679,"Africa","Ethiopia","ET","ETH",231,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [680,"Africa","Ethiopia","ET","ETH",231,"Load factor","Road","Minibus","All","Urban","NRG_LF_MINIBUURB","passenger/vehicle","Merven, B., Stone, A., Hughes, A. and Cohen, B. (2012). Quantifying the energy needs of the transport sector for South Africa: A bottom-up model. University of Cape Town, Cape Town. Available at: https://open.uct.ac.za/handle/11427/16905","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,11,null,null,null,null,null,null,null,null,null,null,null],
    [681,"Africa","Ethiopia","ET","ETH",231,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [682,"Africa","Ethiopia","ET","ETH",231,"Load factor","Road","Bus","Diesel","Urban","NRG_LF_BUSDIEURB","passenger/vehicle","Merven, B., Stone, A., Hughes, A. and Cohen, B. (2012). Quantifying the energy needs of the transport sector for South Africa: A bottom-up model. University of Cape Town, Cape Town. Available at: https://open.uct.ac.za/handle/11427/16905","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,80,null,null,null,null,null,null,null,null,null,null,null],
    [683,"Africa","Gabon","GA","GAB",266,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",0.949493,0.975785,1.002573,1.029769,1.057252,1.084951,1.112944,1.141332,1.170061,1.199058,1.228359,1.258008,1.28831,1.319946,1.353788,1.39055,1.430144,1.472565,1.518538,1.568925,1.624146,1.684629,1.749677,1.81707,1.883801,1.94769,2.007882,2.064812,2.119275,2.172578,2.225728,2.278829],
    [684,"Africa","Gabon","GA","GAB",266,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",69.143,70.462,71.749,72.999,73.921,74.797,75.654,76.49,77.306,78.102,78.879,79.633,80.368,81.083,81.778,82.452,83.107,83.742,84.359,84.955,85.533,86.092,86.634,87.156,87.651,88.118,88.559,88.976,89.37,89.741,90.092,90.423],
    [685,"Africa","Gabon","GA","GAB",266,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",30.857,29.538,28.251,27.001,26.079,25.203,24.346,23.51,22.694,21.898,21.121,20.367,19.632,18.917,18.222,17.548,16.893,16.258,15.641,15.045,14.467,13.908,13.366,12.844,12.349,11.882,11.441,11.024,10.63,10.259,9.908,9.577],
    [686,"Africa","Gabon","GA","GAB",266,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",2.7525658,2.731411734,2.708269922,2.676480974,2.633858382,2.586173561,2.547393188,2.518724482,2.485988282,2.448036432,2.414288376,2.385038528,2.380176439,2.425954472,2.531576244,2.679276322,2.807578617,2.923063968,3.07422517,3.264264158,3.459146772,3.656322234,3.788583795,3.779411424,3.606623054,3.335251073,3.043638018,2.795874594,2.603486796,2.484043179,2.416957226,2.357766143],
    [687,"Africa","Gabon","GA","GAB",266,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",8218.372619,8720.720931,8451.237953,8784.770707,9110.927707,9564.091381,9910.794382,10479.51218,10843.97217,9875.321039,9689.372062,9896.262773,9871.617796,10093.46563,10163.06442,10435.04869,10142.18087,10751.53405,10395.827,10409.376,11147.38903,11937.93436,12564.80448,13273.29598,13846.03399,14383.10771,14683.9221,14753.32449,14876.94504,15460.24161,15176.11933,15404.57447],
    [688,"Africa","Gabon","GA","GAB",266,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",7.324447735,7.623666432,8.25138827,8.48423088,9.086015128,8.031674208,7.09283164,7.217522756,7.020793951,7.293625914,6.213624522,6.143932582,5.743861639,6.004020935,5.467291043,4.984638611,4.911200315,4.957830803,4.229842032,5.044169793,3.914454417,3.43228978,3.353697777,3.329080651,3.62120477,4.311629044,4.97313691,5.265764844,5.435952803,5.55443087,6.65899101,6.313037611],
    [689,"Africa","Gabon","GA","GAB",266,"GDP","Construction","..","..","..","GDP_CON","%","n/a","G, U",12.47068987,12.81327069,12.37498818,12.98546332,15.96266575,15.94618617,17.10152888,16.41847051,12.51039698,14.69638918,17.51011585,17.79105786,17.57209839,17.50409667,18.48869027,17.50682437,17.56655018,16.97069965,17.5214186,13.03774815,16.05914999,17.26078038,17.56306927,16.63424068,15.43546428,13.32404831,11.94268128,11.48737508,11.50143087,11.55883373,9.781644636,10.28337446],
    [690,"Africa","Gabon","GA","GAB",266,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","G, U",12.47068987,12.81327069,12.37498818,12.98546332,15.96266575,15.94618617,17.10152888,16.41847051,12.51039698,14.69638918,17.51011585,17.79105786,17.57209839,17.50409667,18.48869027,17.50682437,17.56655018,16.97069965,17.5214186,13.03774815,16.05914999,17.26078038,17.56306927,16.63424068,15.43546428,13.32404831,11.94268128,11.48737508,11.50143087,11.55883373,9.781644636,10.28337446],
    [691,"Africa","Gabon","GA","GAB",266,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","G, U",5.584351475,6.172414268,6.19485766,6.291970421,4.731037062,4.524886878,4.061384235,4.39677077,5.610586011,4.726576106,3.724848955,2.541160328,2.674539273,2.667338588,2.781723242,12.92979084,11.46783873,12.7816305,14.22278354,19.02437307,17.08046111,19.15280075,16.50140564,17.16241396,17.39340587,16.68703304,17.45600677,17.62241867,18.94155761,18.80256883,18.26880505,21.33139554],
    [692,"Africa","Gabon","GA","GAB",266,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",49.67913119,47.76410723,48.42878954,46.26740874,38.29495057,39.60488041,37.54119747,39.13029494,49.83742911,43.89063044,37.53117898,37.94173352,38.86530391,38.81635046,36.28491492,29.56509744,30.9213104,31.34843973,28.98311865,36.8182127,30.82763449,25.63256834,27.45568878,29.60578336,32.67899653,39.02919298,41.74281248,42.64969126,41.11819697,40.96649911,45.72727003,41.50544347],
    [693,"Africa","Gabon","GA","GAB",266,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","G, U",12.47068987,12.81327069,12.37498818,12.98546332,15.96266575,15.94618617,17.10152888,16.41847051,12.51039698,14.69638918,17.51011585,17.79105786,17.57209839,17.50409667,18.48869027,17.50682437,17.56655018,16.97069965,17.5214186,13.03774815,16.05914999,17.26078038,17.56306927,16.63424068,15.43546428,13.32404831,11.94268128,11.48737508,11.50143087,11.55883373,9.781644636,10.28337446],
    [694,"Africa","Gabon","GA","GAB",266,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",5.192237277,6.112503483,-3.090145652,3.946555008,3.712754841,4.973847763,3.62504902,5.738367395,3.477833587,-8.932622802,-1.882966398,2.135233422,-0.249033169,2.247330012,0.689543058,2.676203333,-2.806578356,6.008108025,-3.308430649,0.13033112,7.089887315,7.091753343,5.251076918,5.638699003,4.314964441,3.878899395,2.091442208,0.472642031,0.837916581,3.920808795,-1.83776093,1.505359401],
    [695,"Africa","Gabon","GA","GAB",266,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,9230.167421,12828.35556,null,null],
    [696,"Africa","Gabon","GA","GAB",266,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UIC (2023). International Railway Statistics, Traffic on the national Territory - PKm, VAR 5113, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,94,63,97,86,92,95,76,99,95,102,111,118,127,125,109,112,127,174,176.330295,171.279327,87,null],
    [697,"Africa","Gabon","GA","GAB",266,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","The World Bank (2023). Railways, passengers carried (million passenger-km). Available at: https://data.worldbank.org/indicator/IS.RRS.PASG.KM","A",null,null,null,null,null,77,85,85,null,87.769,94,63,97,86,92,95,76,99,95,102,111,118,127,125,109,112,127,174,176.330295,171.279327,87,null],
    [698,"Africa","Gabon","GA","GAB",266,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.949522,339.6888889,null,null],
    [699,"Africa","Gabon","GA","GAB",266,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,112,null,174,null,null,null,null],
    [700,"Africa","Gabon","GA","GAB",266,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",54.2,null,null,48,69,77,null,85,null,88,88,63,null,86,92,95,95,76,99,95,111,118,118,null,null,null,null,null,null,null,null,null],
    [701,"Africa","Gabon","GA","GAB",266,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,5145.92,7439.6,null,null],
    [702,"Africa","Gabon","GA","GAB",266,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","The World Bank (2023). Railways, goods transported (million ton-km). Available at: https://data.worldbank.org/indicator/IS.RRS.GOOD.MT.K6","A",null,null,null,null,null,null,null,null,null,null,1702,1834,2998,null,1904,2219,2202,2502,2485,1581,2238,2417,2235,2613,2447,2727,2058,3276,3211,null,null,null],
    [703,"Africa","Gabon","GA","GAB",266,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","Gabon Data Portal (2023). Dataset Browser. Available at: https://gabon.opendataforafrica.org/data/#menu=topic","A",null,null,null,null,null,null,null,null,null,null,1611,null,null,null,1949,null,2219,2202,2504,2485,null,null,2417,null,null,null,null,null,null,null,null,null],
    [704,"Africa","Gabon","GA","GAB",266,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,277.690392,1595.6,null,null],
    [705,"Africa","Gabon","GA","GAB",266,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2727,null,3276,3210.58,null,null,null],
    [706,"Africa","Gabon","GA","GAB",266,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UIC (2023). International Railway Statistics, Global Traffic -Domestic traffic in millions of tonne kilometres, VAR 6757, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,1949,null,2219,2202,2502,2485,1581,2238,null,null,null,null,null,null,null,null,null,null,null],
    [707,"Africa","Gabon","GA","GAB",266,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",null,null,295,343,347,503,null,493,null,1611,1611,1834,null,null,1949,2219,2219,2202,2502,2485,2238,2417,2417,null,null,null,null,null,null,null,null,null],
    [708,"Africa","Gabon","GA","GAB",266,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",26.10000038,26.89999962,28.10000038,30.60000038,32.20000076,32.20000076,34.59999847,38.09999847,34.70000076,53.5,58.174,48.832,49.31,54.251,61.267,65.542,77.975,70.174,67.986,61.742,0,0,0,0,null,null,null,null,null,null,null,null],
    [709,"Africa","Gabon","GA","GAB",266,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","SESRIC (2022). Statistical Yearbook on OIC Member Countries 2021, Statistical, Economic and Social Research and Training Centre for Islamic Countries. Available at: https://www.sesric.org/files/article/808.pdf","A",null,null,null,null,null,null,null,null,null,null,58,null,null,null,null,66,null,null,null,null,0,null,null,null,null,null,null,null,null,null,null,null],
    [710,"Africa","Gabon","GA","GAB",266,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [711,"Africa","Gabon","GA","GAB",266,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [712,"Africa","Gabon","GA","GAB",266,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [713,"Africa","Gabon","GA","GAB",266,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [714,"Africa","Gabon","GA","GAB",266,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [715,"Africa","Gabon","GA","GAB",266,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [716,"Africa","Gabon","GA","GAB",266,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [717,"Africa","Gabon","GA","GAB",266,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [718,"Africa","Ghana","GH","GHA",288,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",14.773274,15.20736,15.653345,16.106756,16.561677,17.014058,17.462504,17.908977,18.357159,18.812369,19.27885,19.756929,20.246376,20.750308,21.272328,21.814648,22.379057,22.963946,23.563832,24.170943,24.779614,25.387713,25.996454,26.607641,27.22448,27.849203,28.481947,29.121464,29.767108,30.417858,31.072945,31.732128],
    [719,"Africa","Ghana","GH","GHA",288,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",36.441,37.17,37.905,38.644,39.39,40.14,40.896,41.654,42.418,43.184,43.929,44.601,45.275,45.951,46.63,47.308,47.988,48.669,49.351,50.031,50.713,51.394,52.073,52.748,53.419,54.086,54.749,55.407,56.06,56.707,57.349,57.985],
    [720,"Africa","Ghana","GH","GHA",288,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",63.559,62.83,62.095,61.356,60.61,59.86,59.104,58.346,57.582,56.816,56.071,55.399,54.725,54.049,53.37,52.692,52.012,51.331,50.649,49.969,49.287,48.606,47.927,47.252,46.581,45.914,45.251,44.593,43.94,43.293,42.651,42.015],
    [721,"Africa","Ghana","GH","GHA",288,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",2.883226255,2.895978367,2.890511098,2.855417913,2.785260065,2.694853156,2.601601014,2.524614187,2.471753914,2.449494437,2.449406107,2.449562516,2.447154931,2.458527537,2.484598321,2.517459761,2.55438954,2.579985464,2.578757332,2.543821515,2.487008974,2.424401783,2.369482728,2.323828607,2.291813837,2.268777982,2.24660996,2.220504882,2.192852874,2.162584462,2.130763473,2.099216433],
    [722,"Africa","Ghana","GH","GHA",288,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",13167.48932,13862.97325,14400.77608,15099.2138,15597.48781,16238.92186,16986.31193,17699.1183,18531.04602,19346.41146,20062.2287,20864.71787,21803.63009,22937.41888,24221.91433,25651.0082,27292.65031,28479.01245,31084.78483,32590.68321,35165.2533,40104.95989,43831.82935,47037.04284,48380.53375,49406.56843,51073.2821,55224.97551,58648.96689,62465.70958,62786.74687,66149.90509],
    [723,"Africa","Ghana","GH","GHA",288,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",44.84761747,45.51047588,44.77905722,36.93086439,37.79058598,38.7785905,38.95508303,35.78159763,36.01410731,35.77634379,35.27152196,35.24180012,35.14837706,36.5454059,37.95242609,37.45301293,28.94894567,27.29411448,29.40809676,30.99338421,28.03873796,23.66370497,22.13115469,20.36984254,19.58377286,19.9826507,20.84429315,19.56170972,18.13655055,17.32323,18.85378266,19.70877538],
    [724,"Africa","Ghana","GH","GHA",288,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E",2.499300201,2.600023865,2.818272904,8.719643949,8.589177073,8.049417117,8.721458368,9.093013259,8.921716004,8.92859503,8.965534174,8.865435449,8.870083091,8.470770094,8.209093633,8.32565638,4.947874082,5.646976866,5.624629415,4.766106014,5.797147526,8.022550191,8.208436187,9.15101968,10.66086508,9.467928106,8.139784951,8.934402236,9.354929984,9.124800655,8.334993737,7.886783516],
    [725,"Africa","Ghana","GH","GHA",288,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",2.499300201,2.600023865,2.818272904,8.719643949,8.589177073,8.049417117,8.721458368,9.093013259,8.921716004,8.92859503,8.965534174,8.865435449,8.870083091,8.470770094,8.209093633,8.32565638,4.947874082,5.646976866,5.624629415,4.766106014,5.797147526,8.022550191,8.208436187,9.15101968,10.66086508,9.467928106,8.139784951,8.934402236,9.354929984,9.124800655,8.334993737,7.886783516],
    [726,"Africa","Ghana","GH","GHA",288,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",9.762852908,9.271897473,9.331061856,9.382505617,9.106628242,9.326986338,8.634146772,9.051681381,8.987627197,9.024383133,9.016849277,9.002986549,9.027260448,8.975523635,8.741998633,8.655388399,9.748400644,8.596404815,7.544118186,6.772090634,6.388658627,6.423765859,5.660586499,11.58854746,11.01994867,11.09829962,10.82042471,10.15222299,10.12013347,10.16121861,10.95305585,10.7001507],
    [727,"Africa","Ghana","GH","GHA",288,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",37.89162902,37.41755505,37.43506221,27.52769815,27.33525456,27.74617181,26.24639509,27.88768121,28.23311748,28.41348798,28.81502624,29.15890698,29.21411322,29.06676018,28.67829438,28.91462953,46.45903144,47.1685501,46.17389681,47.93620711,48.18116083,45.8448786,47.58295025,40.58855096,37.41368323,40.51526537,43.91592729,43.48286059,43.67852603,45.14114943,45.18818028,45.93072338],
    [728,"Africa","Ghana","GH","GHA",288,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E",2.499300201,2.600023865,2.818272904,8.719643949,8.589177073,8.049417117,8.721458368,9.093013259,8.921716004,8.92859503,8.965534174,8.865435449,8.870083091,8.470770094,8.209093633,8.32565638,4.947874082,5.646976866,5.624629415,4.766106014,5.797147526,8.022550191,8.208436187,9.15101968,10.66086508,9.467928106,8.139784951,8.934402236,9.354929984,9.124800655,8.334993737,7.886783516],
    [729,"Africa","Ghana","GH","GHA",288,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",3.328817883,5.281826398,3.87941908,4.850000554,3.299999739,4.112418972,4.602461156,4.19635744,4.700390784,4.399996825,3.700000082,4.000000128,4.499999559,5.200000133,5.599999991,5.900003819,6.399912606,4.346819104,9.149798938,4.844487052,7.899711941,14.04712358,9.292789406,7.312525017,2.856240163,2.120759338,3.37346575,8.128894881,6.200077681,6.507774794,0.513941648,5.356477897],
    [730,"Africa","Ghana","GH","GHA",288,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,34281.93469,null,null,null],
    [731,"Africa","Ghana","GH","GHA",288,"Passenger activity","Road","Car","Diesel","All","ROAD_PA_CARDIE","million passenger-km","Table B-1 - Calculated values for a study, references mentioned are Anin, E.K., Annan, J., Otchere, A.F. (2013). Evaluating the role of mass transit and its effect on fuel efficiency in the Kumasi metropolis, Ghana. Int. J. Bus. Soc. Res. 3, 107�116; UITP, UATP (2010). Report on statistical indicators of public transport performance in Africa. Union Internationale des Transports Publics (UITP & Union Africaine des Transports Publics (UATP), Brussels. Available at: https://www.researchgate.net/publication/358107686_Evaluating_the_Role_of_Mass_Transit_and_its_Effect_on_Fuel_Efficiency_in_the_Kumasi_Metropolis_Ghana ","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1670,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [732,"Africa","Ghana","GH","GHA",288,"Passenger activity","Road","Car","Gasoline","All","ROAD_PA_CARGAS","million passenger-km","Table B-1 - Calculated values for a study, references mentioned are Anin, E.K., Annan, J., Otchere, A.F. (2013). Evaluating the role of mass transit and its effect on fuel efficiency in the Kumasi metropolis, Ghana. Int. J. Bus. Soc. Res. 3, 107�116; UITP, UATP (2010). Report on statistical indicators of public transport performance in Africa. Union Internationale des Transports Publics (UITP & Union Africaine des Transports Publics (UATP), Brussels. Available at: https://www.researchgate.net/publication/358107686_Evaluating_the_Role_of_Mass_Transit_and_its_Effect_on_Fuel_Efficiency_in_the_Kumasi_Metropolis_Ghana ","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,270,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [733,"Africa","Ghana","GH","GHA",288,"Passenger activity","Road","Car","LPG","All","ROAD_PA_CARLPG","million passenger-km","Table B-1 - Calculated values for a study, references mentioned are Anin, E.K., Annan, J., Otchere, A.F. (2013). Evaluating the role of mass transit and its effect on fuel efficiency in the Kumasi metropolis, Ghana. Int. J. Bus. Soc. Res. 3, 107�116; UITP, UATP (2010). Report on statistical indicators of public transport performance in Africa. Union Internationale des Transports Publics (UITP & Union Africaine des Transports Publics (UATP), Brussels. Available at: https://www.researchgate.net/publication/358107686_Evaluating_the_Role_of_Mass_Transit_and_its_Effect_on_Fuel_Efficiency_in_the_Kumasi_Metropolis_Ghana ","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3610,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [734,"Africa","Ghana","GH","GHA",288,"Passenger activity","Road","Minibus","Diesel","All","ROAD_PA_MINIBUDIE","million passenger-km","Table B-1 - Calculated values for a study, references mentioned are Anin, E.K., Annan, J., Otchere, A.F. (2013). Evaluating the role of mass transit and its effect on fuel efficiency in the Kumasi metropolis, Ghana. Int. J. Bus. Soc. Res. 3, 107�116; UITP, UATP (2010). Report on statistical indicators of public transport performance in Africa. Union Internationale des Transports Publics (UITP & Union Africaine des Transports Publics (UATP), Brussels. Available at: https://www.researchgate.net/publication/358107686_Evaluating_the_Role_of_Mass_Transit_and_its_Effect_on_Fuel_Efficiency_in_the_Kumasi_Metropolis_Ghana ","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,55700,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [735,"Africa","Ghana","GH","GHA",288,"Passenger activity","Road","Minibus","Gasoline","All","ROAD_PA_MINIBUGAS","million passenger-km","Table B-1 - Calculated values for a study, references mentioned are Anin, E.K., Annan, J., Otchere, A.F. (2013). Evaluating the role of mass transit and its effect on fuel efficiency in the Kumasi metropolis, Ghana. Int. J. Bus. Soc. Res. 3, 107�116; UITP, UATP (2010). Report on statistical indicators of public transport performance in Africa. Union Internationale des Transports Publics (UITP & Union Africaine des Transports Publics (UATP), Brussels. Available at: https://www.researchgate.net/publication/358107686_Evaluating_the_Role_of_Mass_Transit_and_its_Effect_on_Fuel_Efficiency_in_the_Kumasi_Metropolis_Ghana ","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7860,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [736,"Africa","Ghana","GH","GHA",288,"Passenger activity","Road","Bus","Diesel","All","ROAD_PA_BUSDIE","million passenger-km","Table B-1 - Calculated values for a study, references mentioned are Anin, E.K., Annan, J., Otchere, A.F. (2013). Evaluating the role of mass transit and its effect on fuel efficiency in the Kumasi metropolis, Ghana. Int. J. Bus. Soc. Res. 3, 107�116; UITP, UATP (2010). Report on statistical indicators of public transport performance in Africa. Union Internationale des Transports Publics (UITP & Union Africaine des Transports Publics (UATP), Brussels. Available at: https://www.researchgate.net/publication/358107686_Evaluating_the_Role_of_Mass_Transit_and_its_Effect_on_Fuel_Efficiency_in_the_Kumasi_Metropolis_Ghana ","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,39300,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [737,"Africa","Ghana","GH","GHA",288,"Passenger activity","Road","Bus","Gasoline","All","ROAD_PA_BUSGAS","million passenger-km","Table B-1 - Calculated values for a study, references mentioned are Anin, E.K., Annan, J., Otchere, A.F. (2013). Evaluating the role of mass transit and its effect on fuel efficiency in the Kumasi metropolis, Ghana. Int. J. Bus. Soc. Res. 3, 107�116; UITP, UATP (2010). Report on statistical indicators of public transport performance in Africa. Union Internationale des Transports Publics (UITP & Union Africaine des Transports Publics (UATP), Brussels. Available at: https://www.researchgate.net/publication/358107686_Evaluating_the_Role_of_Mass_Transit_and_its_Effect_on_Fuel_Efficiency_in_the_Kumasi_Metropolis_Ghana ","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,5550,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [738,"Africa","Ghana","GH","GHA",288,"Passenger activity","Road","Private","Diesel","All","ROAD_PA_PRIVATDIE","million passenger-km","Table B-1 - Calculated values for a study, references mentioned are Anin, E.K., Annan, J., Otchere, A.F. (2013). Evaluating the role of mass transit and its effect on fuel efficiency in the Kumasi metropolis, Ghana. Int. J. Bus. Soc. Res. 3, 107�116; UITP, UATP (2010). Report on statistical indicators of public transport performance in Africa. Union Internationale des Transports Publics (UITP & Union Africaine des Transports Publics (UATP), Brussels. Available at: https://www.researchgate.net/publication/358107686_Evaluating_the_Role_of_Mass_Transit_and_its_Effect_on_Fuel_Efficiency_in_the_Kumasi_Metropolis_Ghana ","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1880,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [739,"Africa","Ghana","GH","GHA",288,"Passenger activity","Road","Private","Gasoline","All","ROAD_PA_PRIVATGAS","million passenger-km","Table B-1 - Calculated values for a study, references mentioned are Anin, E.K., Annan, J., Otchere, A.F. (2013). Evaluating the role of mass transit and its effect on fuel efficiency in the Kumasi metropolis, Ghana. Int. J. Bus. Soc. Res. 3, 107�116; UITP, UATP (2010). Report on statistical indicators of public transport performance in Africa. Union Internationale des Transports Publics (UITP & Union Africaine des Transports Publics (UATP), Brussels. Available at: https://www.researchgate.net/publication/358107686_Evaluating_the_Role_of_Mass_Transit_and_its_Effect_on_Fuel_Efficiency_in_the_Kumasi_Metropolis_Ghana ","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,12100,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [740,"Africa","Ghana","GH","GHA",288,"Passenger activity","Road","Private","LPG","All","ROAD_PA_PRIVATLPG","million passenger-km","Table B-1 - Calculated values for a study, references mentioned are Anin, E.K., Annan, J., Otchere, A.F. (2013). Evaluating the role of mass transit and its effect on fuel efficiency in the Kumasi metropolis, Ghana. Int. J. Bus. Soc. Res. 3, 107�116; UITP, UATP (2010). Report on statistical indicators of public transport performance in Africa. Union Internationale des Transports Publics (UITP & Union Africaine des Transports Publics (UATP), Brussels. Available at: https://www.researchgate.net/publication/358107686_Evaluating_the_Role_of_Mass_Transit_and_its_Effect_on_Fuel_Efficiency_in_the_Kumasi_Metropolis_Ghana ","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,506,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [741,"Africa","Ghana","GH","GHA",288,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","The World Bank (2023). Railways, passengers carried (million passenger-km). Available at: https://data.worldbank.org/indicator/IS.RRS.PASG.KM","A",null,null,null,null,null,233,211,176.77,191.87,128.79,83,null,null,85,null,null,85,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [742,"Africa","Ghana","GH","GHA",288,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UIC (2023). International Railway Statistics, Traffic on the national Territory - PKm, VAR 5113, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,83,null,null,85,null,null,85,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [743,"Africa","Ghana","GH","GHA",288,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","Table B-1 - Calculated values for a study, references mentioned are Anin, E.K., Annan, J., Otchere, A.F. (2013). Evaluating the role of mass transit and its effect on fuel efficiency in the Kumasi metropolis, Ghana. Int. J. Bus. Soc. Res. 3, 107�116; UITP, UATP (2010). Report on statistical indicators of public transport performance in Africa. Union Internationale des Transports Publics (UITP & Union Africaine des Transports Publics (UATP), Brussels. Available at: https://www.researchgate.net/publication/358107686_Evaluating_the_Role_of_Mass_Transit_and_its_Effect_on_Fuel_Efficiency_in_the_Kumasi_Metropolis_Ghana ","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,15,null,27,26.5,17.4,19.5,null,null,null,null,null,null,null,null],
    [744,"Africa","Ghana","GH","GHA",288,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,54.649089,null,null,null],
    [745,"Africa","Ghana","GH","GHA",288,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,269.849391,162.9731,null,null,null],
    [746,"Africa","Ghana","GH","GHA",288,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,9677.904159,null,null,null],
    [747,"Africa","Ghana","GH","GHA",288,"Freight activity","Road","Light-duty vehicle","Diesel","All","ROAD_GO_LDVDIE","milion ton-km","Lee, N. (2016). Decision support methodology for national energy planning in developing countries: an implementation focused approach. Available at: https://www.semanticscholar.org/paper/Decision-support-methodology-for-national-energy-in-Lee/7383d3289f197b180cf7b1cdd7222570f358f4eb","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1120,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [748,"Africa","Ghana","GH","GHA",288,"Freight activity","Road","Light-duty vehicle","Gasoline","All","ROAD_GO_LDVGAS","milion ton-km","Lee, N. (2016). Decision support methodology for national energy planning in developing countries: an implementation focused approach. Available at: https://www.semanticscholar.org/paper/Decision-support-methodology-for-national-energy-in-Lee/7383d3289f197b180cf7b1cdd7222570f358f4eb","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,200,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [749,"Africa","Ghana","GH","GHA",288,"Freight activity","Road","Medium-duty vehicle","Diesel","All","ROAD_GO_MDVDIE","milion ton-km","Lee, N. (2016). Decision support methodology for national energy planning in developing countries: an implementation focused approach. Available at: https://www.semanticscholar.org/paper/Decision-support-methodology-for-national-energy-in-Lee/7383d3289f197b180cf7b1cdd7222570f358f4eb","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1140,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [750,"Africa","Ghana","GH","GHA",288,"Freight activity","Road","Medium-duty vehicle","Gasoline","All","ROAD_GO_MDVGAS","milion ton-km","Lee, N. (2016). Decision support methodology for national energy planning in developing countries: an implementation focused approach. Available at: https://www.semanticscholar.org/paper/Decision-support-methodology-for-national-energy-in-Lee/7383d3289f197b180cf7b1cdd7222570f358f4eb","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,183,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [751,"Africa","Ghana","GH","GHA",288,"Freight activity","Road","Heavy-duty vehicle","Diesel","All","ROAD_GO_HDVDIE","milion ton-km","Lee, N. (2016). Decision support methodology for national energy planning in developing countries: an implementation focused approach. Available at: https://www.semanticscholar.org/paper/Decision-support-methodology-for-national-energy-in-Lee/7383d3289f197b180cf7b1cdd7222570f358f4eb","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2680,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [752,"Africa","Ghana","GH","GHA",288,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UIC (2023). International Railway Statistics, Global Traffic -Domestic traffic in millions of tonne kilometres, VAR 6757, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,242,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [753,"Africa","Ghana","GH","GHA",288,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","Ghana Statistical Service (2015). Ghana's Statistical Year Book 2010-2013. Available at: https://statsghana.gov.gh/gsspublications.php?category=MTAyOTI2NTM5NC42ODM1/webstats/8no4s4pq66","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,92.5,106,96.9,178.1,null,null,null,null,null,null,null,null],
    [754,"Africa","Ghana","GH","GHA",288,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","The World Bank (2023). Railways, goods transported (million ton-km). Available at: https://data.worldbank.org/indicator/IS.RRS.GOOD.MT.K6","A",null,null,null,null,null,157,151,155,141,151,165,null,null,242,null,null,181,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [755,"Africa","Ghana","GH","GHA",288,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","Lee, N. (2016). Decision support methodology for national energy planning in developing countries: an implementation focused approach. Available at: https://www.semanticscholar.org/paper/Decision-support-methodology-for-national-energy-in-Lee/7383d3289f197b180cf7b1cdd7222570f358f4eb","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,48.1,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [756,"Africa","Ghana","GH","GHA",288,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",15.69999981,19.10000038,20.10000038,22.5,23.79999924,24.10000038,29.5,32.79999924,29.89999962,31.39999962,39.949,32.97,18.901,16.63,6.652,null,null,null,null,null,5.229804849,3.566035116,2.418016395,1.31802,1.332792,0.844630332,0.846429394,0.262714068,0,0,null,null],
    [757,"Africa","Ghana","GH","GHA",288,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.262714,null,null,null,null],
    [758,"Africa","Ghana","GH","GHA",288,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","Lee, N. (2016). Decision support methodology for national energy planning in developing countries: an implementation focused approach. Available at: https://www.semanticscholar.org/paper/Decision-support-methodology-for-national-energy-in-Lee/7383d3289f197b180cf7b1cdd7222570f358f4eb","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,38900,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [759,"Africa","Ghana","GH","GHA",288,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2051596,null,null,null,null,null],
    [760,"Africa","Ghana","GH","GHA",288,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","Ghana Statistical Service (2015). Ghana's Statistical Year Book 2010-2013. Available at: https://statsghana.gov.gh/gsspublications.php?category=MTAyOTI2NTM5NC42ODM1/webstats/8no4s4pq66","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,748680,840897,856578,891414,null,null,null,null,null,null,null,null],
    [761,"Africa","Ghana","GH","GHA",288,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,515507,null,null,null,null,null],
    [762,"Africa","Ghana","GH","GHA",288,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","Ghana Statistical Service (2015). Ghana's Statistical Year Book 2010-2013. Available at: https://statsghana.gov.gh/gsspublications.php?category=MTAyOTI2NTM5NC42ODM1/webstats/8no4s4pq66","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,47997,53199,45402,40911,null,null,null,null,null,null,null,null],
    [763,"Africa","Ghana","GH","GHA",288,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","Ghana Statistical Service (2015). Ghana's Statistical Year Book 2010-2013. Available at: https://statsghana.gov.gh/gsspublications.php?category=MTAyOTI2NTM5NC42ODM1/webstats/8no4s4pq66","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,418220,465354,453368,484822,null,null,null,null,null,null,null,null],
    [764,"Africa","Ghana","GH","GHA",288,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1171169,null,null,null,null,null],
    [765,"Africa","Ghana","GH","GHA",288,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,210997,null,null,null,null,null],
    [766,"Africa","Ghana","GH","GHA",288,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","Ghana Statistical Service (2015). Ghana's Statistical Year Book 2010-2013. Available at: https://statsghana.gov.gh/gsspublications.php?category=MTAyOTI2NTM5NC42ODM1/webstats/8no4s4pq66","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,113499,121182,115017,123623,null,null,null,null,null,null,null,null],
    [767,"Africa","Ghana","GH","GHA",288,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","Ghana Statistical Service (2015). Ghana's Statistical Year Book 2010-2013. Available at: https://statsghana.gov.gh/gsspublications.php?category=MTAyOTI2NTM5NC42ODM1/webstats/8no4s4pq66","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,108456,124829,159377,151681,null,null,null,null,null,null,null,null],
    [768,"Africa","Ghana","GH","GHA",288,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,151681,null,null,null,null,null,null,null,null],
    [769,"Africa","Ghana","GH","GHA",288,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,153923,null,null,null,null,null],
    [770,"Africa","Ghana","GH","GHA",288,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","Ghana Statistical Service (2015). Ghana's Statistical Year Book 2010-2013. Available at: https://statsghana.gov.gh/gsspublications.php?category=MTAyOTI2NTM5NC42ODM1/webstats/8no4s4pq66","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,59910,75073,82411,87159,null,null,null,null,null,null,null,null],
    [771,"Africa","Ghana","GH","GHA",288,"Vehicle stock","Road","Agricultural and forestry tractors","All","All","ROAD_EQS_TRACTO","n","Ghana Statistical Service (2015). Ghana's Statistical Year Book 2010-2013. Available at: https://statsghana.gov.gh/gsspublications.php?category=MTAyOTI2NTM5NC42ODM1/webstats/8no4s4pq66","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,598,1260,1003,3218,null,null,null,null,null,null,null,null],
    [772,"Africa","Ghana","GH","GHA",288,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [773,"Africa","Ghana","GH","GHA",288,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [774,"Africa","Ghana","GH","GHA",288,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [775,"Africa","Ghana","GH","GHA",288,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [776,"Africa","Ghana","GH","GHA",288,"Load factor","Road","Car","All","Urban","NRG_LF_CARURB","passenger/vehicle","Merven, B., Stone, A., Hughes, A. and Cohen, B. (2012). Quantifying the energy needs of the transport sector for South Africa: A bottom-up model. University of Cape Town, Cape Town. Available at: https://open.uct.ac.za/handle/11427/16905","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,20,null,null,null,null,null,null,null,null,null,null,null],
    [777,"Africa","Ghana","GH","GHA",288,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [778,"Africa","Ghana","GH","GHA",288,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [779,"Africa","Ghana","GH","GHA",288,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [780,"Africa","Ghana","GH","GHA",288,"Load factor","Road","Minibus","All","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Merven, B., Stone, A., Hughes, A. and Cohen, B. (2012). Quantifying the energy needs of the transport sector for South Africa: A bottom-up model. University of Cape Town, Cape Town. Available at: https://open.uct.ac.za/handle/11427/16905","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,18,null,null,null,null,null,null,null,null,null,null,null],
    [781,"Africa","Ghana","GH","GHA",288,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [782,"Africa","Guinea","GN","GIN",324,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",6.352282,6.534936,6.716032,6.897171,7.081119,7.269631,7.463782,7.662071,7.860772,8.054745,8.240735,8.417082,8.586077,8.753097,8.925729,9.109585,9.307421,9.518159,9.738796,9.96447,10.192168,10.420459,10.652032,10.892821,11.15097,11.432096,11.738434,12.067516,12.414292,12.771246,13.132792,13.497237],
    [783,"Africa","Guinea","GN","GIN",324,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",28.026,28.312,28.601,28.89,29.182,29.475,29.77,30.052,30.323,30.595,30.869,31.144,31.42,31.698,31.977,32.257,32.539,32.822,33.106,33.391,33.678,33.966,34.255,34.545,34.836,35.141,35.46,35.793,36.14,36.5,36.875,37.264],
    [784,"Africa","Guinea","GN","GIN",324,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",71.974,71.688,71.399,71.11,70.818,70.525,70.23,69.948,69.677,69.405,69.131,68.856,68.58,68.302,68.023,67.743,67.461,67.178,66.894,66.609,66.322,66.034,65.745,65.455,65.164,64.859,64.54,64.207,63.86,63.5,63.125,62.736],
    [785,"Africa","Guinea","GN","GIN",324,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",2.952379181,2.834843518,2.733495034,2.661382359,2.632061853,2.627358766,2.635672254,2.622005649,2.56025077,2.437653832,2.28281802,2.11736734,1.987872548,1.926564275,1.95304244,2.03891509,2.148488305,2.23894088,2.29160483,2.290827005,2.259381611,2.215150305,2.197958682,2.235327632,2.342254124,2.489834844,2.644357731,2.764879904,2.833117512,2.834784817,2.791607079,2.737268932],
    [786,"Africa","Guinea","GN","GIN",324,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",3528.427624,3620.640363,3739.069602,3927.673677,4083.606214,4271.765444,4462.353466,4693.574928,4864.614489,5050.05379,5176.459694,5365.832525,5642.956819,5713.414849,5847.115459,6022.369447,6094.012383,6509.470045,6778.507046,6702.408714,7025.019966,7419.271686,7858.143039,8168.200516,8470.141466,8794.202444,9745.789799,10749.60661,11433.11948,12075.30802,12635.27357,13029.90222],
    [787,"Africa","Guinea","GN","GIN",324,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",24.68894706,18.26091127,16.55593554,17.39453488,20.1684387,18.51874687,17.39940732,20.11736419,21.16409858,21.49546542,20.98183124,21.74068348,21.63161471,20.7799679,23.31419591,22.28106496,15.58456342,16.81970923,15.98000719,16.36061888,17.48494873,16.06974963,16.83167319,17.54527212,17.52381638,18.47824205,17.58994666,20.52847253,22.32593095,26.4272767,25.73663057,25.50017523],
    [788,"Africa","Guinea","GN","GIN",324,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E",8.68225432,9.922599035,8.470526528,9.046831006,7.99740335,9.33815414,9.817681606,9.897901343,10.49080469,9.776420542,11.27828598,11.48112259,11.72204054,10.911007,10.59157341,11.24869532,9.376125496,8.726102352,9.211601763,8.931814267,9.492517811,9.860819929,10.1384797,9.376166849,9.346765896,7.965598111,9.851356102,10.50281076,9.943188972,9.904497247,9.035139673,9.584719626],
    [789,"Africa","Guinea","GN","GIN",324,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",8.68225432,9.922599035,8.470526528,9.046831006,7.99740335,9.33815414,9.817681606,9.897901343,10.49080469,9.776420542,11.27828598,11.48112259,11.72204054,10.911007,10.59157341,11.24869532,9.376125496,8.726102352,9.211601763,8.931814267,9.492517811,9.860819929,10.1384797,9.376166849,9.346765896,7.965598111,9.851356102,10.50281076,9.943188972,9.904497247,9.035139673,9.584719626],
    [790,"Africa","Guinea","GN","GIN",324,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",4.729707617,3.913897769,4.49929322,4.604383136,4.511097829,3.833274017,3.693002698,3.465605838,3.669063583,3.84458316,3.77539532,3.776294378,3.786314961,5.927977839,5.665542537,6.083992067,11.38061497,11.43786019,12.67171938,12.56367069,10.63328705,10.47127248,10.5298639,10.80078156,11.08249807,12.11873629,10.92667808,10.02158413,9.693654137,8.656403491,9.556504498,9.788005327],
    [791,"Africa","Guinea","GN","GIN",324,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",44.53458236,48.05739386,53.53319166,50.86058896,51.32825342,49.6335167,49.45454516,46.72332594,43.69442377,45.33068979,41.40791549,40.03965437,39.4159487,40.55903327,39.24554131,37.888857,44.90644512,45.56412353,43.71346815,44.28026763,43.40421079,43.8765181,42.22302379,43.52544577,43.35338786,45.50622732,41.92930695,37.94151106,38.150848,35.20282807,37.60144591,35.95766057],
    [792,"Africa","Guinea","GN","GIN",324,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E",8.68225432,9.922599035,8.470526528,9.046831006,7.99740335,9.33815414,9.817681606,9.897901343,10.49080469,9.776420542,11.27828598,11.48112259,11.72204054,10.911007,10.59157341,11.24869532,9.376125496,8.726102352,9.211601763,8.931814267,9.492517811,9.860819929,10.1384797,9.376166849,9.346765896,7.965598111,9.851356102,10.50281076,9.943188972,9.904497247,9.035139673,9.584719626],
    [793,"Africa","Guinea","GN","GIN",324,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",4.324062755,2.613423004,3.270947301,5.044144542,3.970099106,4.607673202,4.461575085,5.181603459,3.644121242,3.812004035,2.503060562,3.658346471,5.164609466,1.24860126,2.340117313,2.997272562,1.189613767,6.817473228,4.133009273,-1.122641485,4.813362867,5.612108175,5.915288884,3.945683805,3.696541843,3.825921667,10.82062144,10.30000473,6.358491927,5.616914469,4.637277536,3.12323],
    [794,"Africa","Guinea","GN","GIN",324,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,8226.112849,21042.15556,null,null],
    [795,"Africa","Guinea","GN","GIN",324,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.103813,5135.333333,null,null],
    [796,"Africa","Guinea","GN","GIN",324,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",0.400000006,2.099999905,0.699999988,0.699999988,1.399999976,0.699999988,0.699999988,0.699999988,null,1.399999976,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [797,"Africa","Guinea","GN","GIN",324,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,290252,319254,353988,394186,439966,null,null],
    [798,"Africa","Guinea","GN","GIN",324,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,64632,71001,80478,92470,106723,null,null],
    [799,"Africa","Guinea","GN","GIN",324,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,153467,169214,186578,205723,226833,null,null],
    [800,"Africa","Guinea","GN","GIN",324,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,27021,27603,28197,28804,29424,null,null],
    [801,"Africa","Guinea","GN","GIN",324,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,8235,8511,8797,9093,9398,null,null],
    [802,"Africa","Guinea","GN","GIN",324,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,36897,42925,49938,58096,67588,null,null],
    [803,"Africa","Guinea","GN","GIN",324,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [804,"Africa","Guinea","GN","GIN",324,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [805,"Africa","Guinea","GN","GIN",324,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [806,"Africa","Guinea","GN","GIN",324,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [807,"Africa","Guinea","GN","GIN",324,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [808,"Africa","Guinea","GN","GIN",324,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [809,"Africa","Guinea","GN","GIN",324,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [810,"Africa","Guinea","GN","GIN",324,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [811,"Africa","Gambia","GM","GMB",270,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",0.955595,0.992671,1.027476,1.060861,1.094219,1.128577,1.164091,1.200522,1.238124,1.277118,1.317708,1.36007,1.404263,1.449925,1.496524,1.543745,1.591444,1.639846,1.689288,1.740277,1.793199,1.848142,1.90502,1.963708,2.024037,2.08586,2.149134,2.2139,2.280092,2.347696,2.416664,2.486937],
    [812,"Africa","Gambia","GM","GMB",270,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",38.312,39.41,40.52,41.586,42.472,43.362,44.258,45.155,46.057,46.961,47.868,48.775,49.683,50.555,51.288,52.02,52.751,53.481,54.211,54.937,55.662,56.384,57.105,57.82,58.528,59.228,59.918,60.599,61.27,61.931,62.582,63.222],
    [813,"Africa","Gambia","GM","GMB",270,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",61.688,60.59,59.48,58.414,57.528,56.638,55.742,54.845,53.943,53.039,52.132,51.225,50.317,49.445,48.712,47.98,47.249,46.519,45.789,45.063,44.338,43.616,42.895,42.18,41.472,40.772,40.082,39.401,38.73,38.069,37.418,36.778],
    [814,"Africa","Gambia","GM","GMB",270,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",4.272073804,3.806510679,3.446129852,3.197553312,3.096002421,3.091668033,3.098297783,3.081593726,3.084086859,3.100864606,3.128788688,3.164230528,3.197644099,3.199922096,3.163325465,3.106619692,3.043049767,2.99605548,2.97048034,2.973715757,2.995687968,3.017963446,3.031169712,3.03420155,3.025950918,3.008720834,2.988373007,2.969069585,2.946012688,2.921862866,2.895365506,2.866375603],
    [815,"Africa","Gambia","GM","GMB",270,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",694.740162,716.3260113,740.528438,762.8339052,764.0113085,770.7487288,787.8866786,826.4931188,855.4203672,910.1672626,960.226464,1015.919601,982.9022127,1050.427591,1124.482736,1098.037946,1091.937456,1125.167837,1195.557274,1275.249826,1350.595868,1240.786424,1305.823104,1343.336382,1324.430501,1378.176868,1404.959802,1472.715551,1579.264906,1677.527608,1674.141973,1768.337557],
    [816,"Africa","Gambia","GM","GMB",270,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",24.34255391,18.15887114,17.32568859,17.2064317,19.23072745,21.3587382,17.94588617,20.58034174,19.20353899,24.01224521,24.53228447,25.42563238,24.12493214,26.74829049,31.50261835,32.09063281,25.60022584,23.56619704,29.77571152,31.73422579,35.19324349,27.20242061,27.39357146,26.22212251,22.45883917,22.20888602,21.86137936,21.00189469,19.87159618,20.00404587,20.97683017,19.69990523],
    [817,"Africa","Gambia","GM","GMB",270,"GDP","Construction","..","..","..","GDP_CON","%","n/a","G, U",2.739863217,3.073268947,3.137069594,3.247895255,3.300370134,3.360607487,6.56460007,3.777053327,4.262587672,4.220080315,4.027990905,4.067606629,4.393038694,4.466191122,3.094794362,2.596031335,2.739239584,2.685232246,2.785360892,2.690516352,2.638663331,3.011973059,3.105104519,3.141746874,3.351526618,5.397099359,7.674667974,6.711731443,6.527482176,6.747711898,8.036071313,8.42326143],
    [818,"Africa","Gambia","GM","GMB",270,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","G, U",2.739863217,3.073268947,3.137069594,3.247895255,3.300370134,3.360607487,6.56460007,3.777053327,4.262587672,4.220080315,4.027990905,4.067606629,4.393038694,4.466191122,3.094794362,2.596031335,2.739239584,2.685232246,2.785360892,2.690516352,2.638663331,3.011973059,3.105104519,3.141746874,3.351526618,5.397099359,7.674667974,6.711731443,6.527482176,6.747711898,8.036071313,8.42326143],
    [819,"Africa","Gambia","GM","GMB",270,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",5.529760458,9.213470361,8.895895297,8.704322984,8.024792925,8.152714465,7.574464445,8.020239315,7.543534474,7.154046229,6.766691548,6.631611383,7.020899378,5.916642809,5.262075726,6.302016927,6.645413213,6.509075479,5.591328964,4.829974843,4.550839575,5.488714202,5.748159799,5.611202563,6.511781045,6.349254347,5.586257013,4.469292134,4.255461446,3.787177037,2.899054354,2.672190182],
    [820,"Africa","Gambia","GM","GMB",270,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",64.6479592,66.48112061,67.50427693,67.5934548,66.14373936,63.76733236,61.35044925,63.84531229,64.72775119,60.39354793,60.64504217,59.80754298,60.06809109,58.40268446,51.05830666,50.74070684,55.60417197,57.35735554,52.98860675,51.10041572,49.20053712,54.90020096,54.45121637,55.12629706,56.43873189,51.88978736,48.79803435,53.42535707,54.90376695,54.77422803,52.18259267,51.10683431],
    [821,"Africa","Gambia","GM","GMB",270,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","G, U",0,0,0,0,0,0,0,0,0,0,0,0,0,0,5.987410547,5.674580753,6.671709815,7.196907455,6.073630978,6.95435095,5.778053153,6.384718112,6.196843332,6.756884112,7.887594662,8.757873551,8.404993325,7.679993223,7.914211069,7.939125269,7.86938018,9.67454742],
    [822,"Africa","Gambia","GM","GMB",270,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",3.558879368,3.107039224,3.378688791,3.012101374,0.15434596,0.881848241,2.223545638,4.89999911,3.499998702,6.39999905,5.500000216,5.800000243,0,6.869999622,7.050000001,0,0,3.043249508,6.255905534,6.665724308,5.90833581,0,5.241569246,2.87276879,0,4.058073804,1.943359655,4.822611249,7.234890333,6.22205316,-0.201822911,5.626499143],
    [823,"Africa","Gambia","GM","GMB",270,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2875.544262,5492.733333,null,null],
    [824,"Africa","Gambia","GM","GMB",270,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.180473,390.6666667,null,null],
    [825,"Africa","Gambia","GM","GMB",270,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,40.142819,40.142819,95.791114,null,null],
    [826,"Africa","Gambia","GM","GMB",270,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,139.119,287.6,null,null],
    [827,"Africa","Gambia","GM","GMB",270,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","SESRIC (2022). Statistical Yearbook on OIC Member Countries 2021, Statistical, Economic and Social Research and Training Centre for Islamic Countries. Available at: https://www.sesric.org/files/article/808.pdf","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,null,null,null,null,0.07,null,null,0,0,0,null],
    [828,"Africa","Gambia","GM","GMB",270,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","Gambia Data Portal (2023). Dataset Browser. Available at: https://gambia.opendataforafrica.org/data/#menu=topic","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.16,null,null,null,null,null,null,null,null,null],
    [829,"Africa","Gambia","GM","GMB",270,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,0,0.15528396,2.172012,2.24586,0.07411338,null,null,0,0,null,null],
    [830,"Africa","Gambia","GM","GMB",270,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [831,"Africa","Gambia","GM","GMB",270,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [832,"Africa","Gambia","GM","GMB",270,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [833,"Africa","Gambia","GM","GMB",270,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [834,"Africa","Gambia","GM","GMB",270,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [835,"Africa","Gambia","GM","GMB",270,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [836,"Africa","Gambia","GM","GMB",270,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [837,"Africa","Gambia","GM","GMB",270,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [838,"Africa","Guinea-Bissau","GW","GNB",624,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",0.975265,0.997522,1.020353,1.043421,1.066345,1.08885,1.110835,1.132505,1.154372,1.177133,1.201305,1.227105,1.254454,1.283297,1.313492,1.344931,1.377582,1.411545,1.446936,1.48392,1.522603,1.562996,1.604981,1.648259,1.692433,1.737207,1.782434,1.828146,1.874304,1.920917,1.967998,2.01549],
    [839,"Africa","Guinea-Bissau","GW","GNB",624,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",30.83,32.39,33.271,33.635,34.002,34.371,34.742,35.114,35.488,35.865,36.243,36.622,37.004,37.387,37.772,38.157,38.545,38.934,39.325,39.716,40.111,40.508,40.908,41.31,41.715,42.123,42.533,42.945,43.36,43.777,44.196,44.617],
    [840,"Africa","Guinea-Bissau","GW","GNB",624,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",69.17,67.61,66.729,66.365,65.998,65.629,65.258,64.886,64.512,64.135,63.757,63.378,62.996,62.613,62.228,61.843,61.455,61.066,60.675,60.284,59.889,59.492,59.092,58.69,58.285,57.877,57.467,57.055,56.64,56.223,55.804,55.383],
    [841,"Africa","Guinea-Bissau","GW","GNB",624,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",2.227409513,2.256497472,2.262972118,2.235609206,2.173217525,2.088518026,1.998989136,1.93200086,1.912447978,1.952534789,2.032664485,2.124927075,2.204268152,2.273212939,2.325669198,2.36534711,2.398707778,2.435506078,2.476336805,2.523901771,2.573413527,2.618312205,2.650742625,2.660766083,2.644755928,2.611151253,2.570119483,2.532249258,2.493505196,2.456528568,2.421410618,2.384555965],
    [842,"Africa","Guinea-Bissau","GW","GNB",624,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",652.0920446,685.348739,692.8875749,707.438214,730.076237,762.1995915,850.6147441,905.9047024,651.3456647,658.0254581,693.7364166,708.9216603,701.9375235,705.9281097,725.4216226,756.3688267,773.8360907,799.0860176,824.685276,852.4687164,891.7758009,963.8739101,947.3658054,978.2111291,987.6465697,1048.229629,1113.878214,1179.810633,1194.956295,1248.729328,1218.759824,1265.072727],
    [843,"Africa","Guinea-Bissau","GW","GNB",624,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",56.9360486,51.27630026,47.83461913,52.8446109,52.260198,51.7975866,54.24518424,53.64573033,61.41625616,55.04083027,41.72867143,37.507955,41.8319889,42.34587922,41.99168143,44.35828842,42.26040256,43.17569289,46.66771695,43.99991803,45.0880468,45.02245856,46.89249801,44.13561101,41.13234659,46.78812527,46.34835901,49.15780779,30.72370337,30.39657945,30.86324475,29.96357517],
    [844,"Africa","Guinea-Bissau","GW","GNB",624,"GDP","Construction","..","..","..","GDP_CON","%","n/a","A, E",5.3045784,3.624879814,3.689688995,3.53067866,3.355545265,3.322107242,3.251762628,1.926483567,1.62835249,2.749805166,2.05621618,1.959993083,2.853868361,2.784297714,2.447806897,1.277047606,1.257969347,1.258625255,0.812506295,1.08153199,1.401614687,1.106527645,0.943285417,1.024723053,1.518856315,2.026993668,1.990161329,2.606589118,3.30328444,3.128462416,3.365289496,3.504505623],
    [845,"Africa","Guinea-Bissau","GW","GNB",624,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","A, E",5.3045784,3.624879814,3.689688995,3.53067866,3.355545265,3.322107242,3.251762628,1.926483567,1.62835249,2.749805166,2.05621618,1.959993083,2.853868361,2.784297714,2.447806897,1.277047606,1.257969347,1.258625255,0.812506295,1.08153199,1.401614687,1.106527645,0.943285417,1.024723053,1.518856315,2.026993668,1.990161329,2.606589118,3.30328444,3.128462416,3.365289496,3.504505623],
    [846,"Africa","Guinea-Bissau","GW","GNB",624,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",7.864307205,3.613896244,2.421557601,3.391662169,6.795722052,7.427707958,6.975396395,11.00449775,9.142857143,10.05849784,10.3022968,10.54609576,10.78989472,11.03369368,11.27749264,12.83100066,12.5719382,11.41816438,12.6121845,12.01169048,11.34204487,11.0965332,12.21176126,12.68043325,12.38172963,10.70263964,11.32828211,10.49912161,9.109699394,8.981433108,8.853166822,8.724900536],
    [847,"Africa","Guinea-Bissau","GW","GNB",624,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",19.28590899,34.23516405,38.67475628,33.17169095,30.87744416,30.80838372,29.02413148,29.57032122,24.55582923,26.65125639,41.80038322,46.06596999,38.81651129,38.26753396,39.38740524,38.9795681,41.39375119,41.63026696,38.28257967,40.74379551,39.36506427,40.56142531,38.06588447,40.10978657,41.92935484,36.42825408,36.35287489,32.52330325,50.25674392,51.23660019,50.18771994,50.93493006],
    [848,"Africa","Guinea-Bissau","GW","GNB",624,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","A, E",5.3045784,3.624879814,3.689688995,3.53067866,3.355545265,3.322107242,3.251762628,1.926483567,1.62835249,2.749805166,2.05621618,1.959993083,2.853868361,2.784297714,2.447806897,1.277047606,1.257969347,1.258625255,0.812506295,1.08153199,1.401614687,1.106527645,0.943285417,1.024723053,1.518856315,2.026993668,1.990161329,2.606589118,3.30328444,3.128462416,3.365289496,3.367582986],
    [849,"Africa","Guinea-Bissau","GW","GNB",624,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",6.099999986,5.100000023,1.099999971,2.1,3.20000002,4.400000008,11.6,6.5,-28.09997973,1.025537409,5.426987367,2.188906815,-0.985177525,0.568510176,2.76140199,4.266098931,2.309357998,3.262955456,3.203567307,3.368974958,4.6109709,8.084779734,-1.712683012,3.255904265,0.964560751,6.134082941,6.262805638,5.919176626,1.283736703,4.499999992,-2.399999999,3.800002427],
    [850,"Africa","Guinea-Bissau","GW","GNB",624,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1529.035663,2029.4,null,null],
    [851,"Africa","Guinea-Bissau","GW","GNB",624,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.000108,13.6,null,null],
    [852,"Africa","Guinea-Bissau","GW","GNB",624,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,283.355,434.4,null,null],
    [853,"Africa","Guinea-Bissau","GW","GNB",624,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",0.100000002,0.100000002,0.100000002,0.100000002,0.100000002,0.100000002,0.100000002,0.100000002,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [854,"Africa","Guinea-Bissau","GW","GNB",624,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,62239,null,null,null,null,null],
    [855,"Africa","Guinea-Bissau","GW","GNB",624,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [856,"Africa","Guinea-Bissau","GW","GNB",624,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [857,"Africa","Guinea-Bissau","GW","GNB",624,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [858,"Africa","Guinea-Bissau","GW","GNB",624,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [859,"Africa","Guinea-Bissau","GW","GNB",624,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [860,"Africa","Guinea-Bissau","GW","GNB",624,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [861,"Africa","Guinea-Bissau","GW","GNB",624,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [862,"Africa","Guinea-Bissau","GW","GNB",624,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [863,"Africa","Equatorial Guinea","GQ","GNQ",226,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",0.419188,0.432844,0.447269,0.462637,0.479099,0.496768,0.515844,0.536459,0.558496,0.581765,0.60618,0.631662,0.658388,0.68667,0.716949,0.749527,0.784494,0.821686,0.860839,0.901589,0.94364,0.986861,1.031191,1.076412,1.122273,1.168575,1.215181,1.262008,1.308966,1.355982,1.402985,1.449891],
    [864,"Africa","Equatorial Guinea","GQ","GNQ",226,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",34.745,35.748,36.766,37.792,38.831,40.494,42.187,43.893,45.616,47.35,49.092,50.832,52.573,54.307,56.033,57.74,59.431,61.1,62.745,64.358,65.94,67.488,69,69.544,70.083,70.616,71.138,71.646,72.143,72.627,73.1,73.561],
    [865,"Africa","Equatorial Guinea","GQ","GNQ",226,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",65.255,64.252,63.234,62.208,61.169,59.506,57.813,56.107,54.384,52.65,50.908,49.168,47.427,45.693,43.967,42.26,40.569,38.9,37.255,35.642,34.06,32.512,31,30.456,29.917,29.384,28.862,28.354,27.857,27.373,26.9,26.439],
    [866,"Africa","Equatorial Guinea","GQ","GNQ",226,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",3.044041827,3.205787931,3.278281737,3.378252599,3.496452733,3.621585967,3.768127788,3.918574371,4.025731854,4.081912968,4.111038555,4.117746929,4.143998224,4.205940428,4.315088089,4.443763255,4.559658305,4.631940298,4.654916813,4.625126705,4.558597536,4.478446124,4.394052518,4.291884317,4.172280493,4.042896478,3.91079791,3.781106635,3.653340932,3.528840253,3.407619459,3.288627151],
    [867,"Africa","Equatorial Guinea","GQ","GNQ",226,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",173.7333974,171.9574271,231.7045854,257.269046,300.1528001,352.6383104,587.4248876,1468.4034,1817.508707,2283.954422,2699.948854,4411.173075,5269.712369,6005.113922,8286.980758,9674.942354,10420.38869,12012.84436,14151.02364,14341.12231,13061.29533,13913.40426,15070.00772,14447.13439,14507.09958,13185.49684,12023.00842,11341.60406,10634.27914,10051.32674,9625.001914,9534.007926],
    [868,"Africa","Equatorial Guinea","GQ","GNQ",226,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, G, U",1.704647231,1.704647231,1.704647231,1.704647231,1.704647231,1.704647231,1.704647231,1.704647231,1.704647231,1.704647231,1.704647231,1.704647231,1.704647231,1.704647231,1.704647231,1.704647231,1.518255278,1.372884044,0.89269612,1.058199791,1.061371286,1.053502388,1.055657092,1.19199068,1.294248772,1.888390876,2.332239209,2.315463397,2.257979677,2.437878508,2.913124655,2.630473918],
    [869,"Africa","Equatorial Guinea","GQ","GNQ",226,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E, G, U",15.71524315,15.71524315,15.71524315,15.71524315,15.71524315,15.71524315,15.71524315,15.71524315,15.71524315,15.71524315,15.71524315,15.71524315,15.71524315,15.71524315,15.71524315,15.71524315,25.21888852,22.21453527,21.10837194,19.07557945,17.72986519,18.11549593,19.64008142,17.45201176,16.52028582,13.71491209,11.32757581,10.34466161,10.56452946,10.46997803,8.493720602,9.453397465],
    [870,"Africa","Equatorial Guinea","GQ","GNQ",226,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E, G, U",15.71524315,15.71524315,15.71524315,15.71524315,15.71524315,15.71524315,15.71524315,15.71524315,15.71524315,15.71524315,15.71524315,15.71524315,15.71524315,15.71524315,15.71524315,15.71524315,25.21888852,22.21453527,21.10837194,19.07557945,17.72986519,18.11549593,19.64008142,17.45201176,16.52028582,13.71491209,11.32757581,10.34466161,10.56452946,10.46997803,8.493720602,9.453397465],
    [871,"Africa","Equatorial Guinea","GQ","GNQ",226,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, G, U",19.46318027,19.46318027,19.46318027,19.46318027,19.46318027,19.46318027,19.46318027,19.46318027,19.46318027,19.46318027,19.46318027,19.46318027,19.46318027,19.46318027,19.46318027,19.46318027,7.133685719,14.51441507,20.36751704,18.03795957,21.01648193,22.46849117,17.08975216,19.28578894,20.12563307,17.8446575,18.50431156,25.75059535,25.57013765,20.85383891,20.09918043,22.74843827],
    [872,"Africa","Equatorial Guinea","GQ","GNQ",226,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, G, U",31.68644306,31.68644306,31.68644306,31.68644306,31.68644306,31.68644306,31.68644306,31.68644306,31.68644306,31.68644306,31.68644306,31.68644306,31.68644306,31.68644306,31.68644306,31.68644306,15.69139345,17.46909509,15.41467103,23.67710229,24.73255121,22.13151865,22.9343465,27.16618509,29.01926071,39.12221535,45.18072181,40.89995643,40.47829428,45.29834847,51.50653311,46.26089541],
    [873,"Africa","Equatorial Guinea","GQ","GNQ",226,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E, G, U",15.71524315,15.71524315,15.71524315,15.71524315,15.71524315,15.71524315,15.71524315,15.71524315,15.71524315,15.71524315,15.71524315,15.71524315,15.71524315,15.71524315,15.71524315,15.71524315,25.21888852,22.21453527,21.10837194,19.07557945,17.72986519,18.11549593,19.64008142,17.45201176,16.52028582,13.71491209,11.32757581,10.34466161,10.56452946,10.46997803,8.493720602,9.453397465],
    [874,"Africa","Equatorial Guinea","GQ","GNQ",226,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",-1.758564085,-1.022238877,34.74532003,11.03321304,16.66883554,17.48626373,66.57999722,149.9729635,23.77448233,25.66401544,18.21377996,63.37987543,19.46283404,13.95525032,37.99872686,16.74870061,7.704917607,15.28211392,17.79910913,1.343356288,-8.924175889,6.52392363,8.312871844,-4.133198501,0.415066302,-9.110041149,-8.816417232,-5.667502957,-6.236550982,-5.48182338,-4.241478166,-0.9453919],
    [875,"Africa","Equatorial Guinea","GQ","GNQ",226,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,6313.639416,6052.3,null,null],
    [876,"Africa","Equatorial Guinea","GQ","GNQ",226,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.024278,87,null,null],
    [877,"Africa","Equatorial Guinea","GQ","GNQ",226,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,309.840928,295.87216,259.007408,null,null],
    [878,"Africa","Equatorial Guinea","GQ","GNQ",226,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3725.29,3274,null,null],
    [879,"Africa","Equatorial Guinea","GQ","GNQ",226,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","Equatorial Guinea Data Portal (2023). Dataset Browser. Available at: https://eguinea.opendataforafrica.org/data/#topic=Transport","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.23,null,0.36,null,null,null,null,null,null,null,null],
    [880,"Africa","Equatorial Guinea","GQ","GNQ",226,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",0.100000002,0.100000002,0.100000002,0.100000002,0.100000002,0.100000002,0.100000002,null,null,null,null,null,null,null,null,null,null,null,null,null,0,0.225400162,0.767627569,0.36126,0.31788,0.461650208,0.358277746,0.418783315,0,0.288954,2.781249,null],
    [881,"Africa","Equatorial Guinea","GQ","GNQ",226,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.418783,0.349227,null,null,null],
    [882,"Africa","Equatorial Guinea","GQ","GNQ",226,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [883,"Africa","Equatorial Guinea","GQ","GNQ",226,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [884,"Africa","Equatorial Guinea","GQ","GNQ",226,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [885,"Africa","Equatorial Guinea","GQ","GNQ",226,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [886,"Africa","Equatorial Guinea","GQ","GNQ",226,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [887,"Africa","Equatorial Guinea","GQ","GNQ",226,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [888,"Africa","Equatorial Guinea","GQ","GNQ",226,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [889,"Africa","Equatorial Guinea","GQ","GNQ",226,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [890,"Asia","Indonesia","ID","IDN",360,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",181.413398,184.591897,187.739786,190.851184,193.917458,196.934257,199.901231,202.826444,205.724597,208.615171,211.513822,214.427419,217.35779,220.309473,223.285666,226.289468,229.318262,232.374239,235.469755,238.620554,241.834226,245.115988,248.451714,251.805314,255.128076,258.383257,261.556386,264.650969,267.670549,270.625567,273.523621,276.361788],
    [891,"Asia","Indonesia","ID","IDN",360,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",30.584,31.613,32.703,33.808,34.933,36.076,37.235,38.406,39.593,40.792,42.002,42.783,43.568,44.356,45.149,45.942,46.738,47.535,48.335,49.134,49.914,50.595,51.276,51.955,52.635,53.313,53.989,54.659,55.325,55.985,56.641,57.29],
    [892,"Asia","Indonesia","ID","IDN",360,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",69.416,68.387,67.297,66.192,65.067,63.924,62.765,61.594,60.407,59.208,57.998,57.217,56.432,55.644,54.851,54.058,53.262,52.465,51.665,50.866,50.086,49.405,48.724,48.045,47.365,46.687,46.011,45.341,44.675,44.015,43.359,42.71],
    [893,"Asia","Indonesia","ID","IDN",360,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",1.782055014,1.736903237,1.690946084,1.643709596,1.59386113,1.543735793,1.495344734,1.452725813,1.418770887,1.395290107,1.379908097,1.368095955,1.357348946,1.348845574,1.341871178,1.336304645,1.329581752,1.323834207,1.323330518,1.329217379,1.337782477,1.347904403,1.351699787,1.340770864,1.310945245,1.267829703,1.220591058,1.176197424,1.13450698,1.097926437,1.065178986,1.032284966],
    [894,"Asia","Indonesia","ID","IDN",360,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",270259.3177,288571.5957,307321.5539,327286.4163,351963.7175,380895.1611,410674.2574,429975.45,373533.753,376488.8759,395012.3837,409404.5274,427825.5833,448277.2254,470829.4875,497631.7918,525006.2768,558318.0417,591893.6339,619291.6277,657835.4356,698422.4624,740537.6907,781691.3229,820828.0155,860854.2351,904181.6243,950021.6968,999178.5891,1049330.237,1027661.516,1065594.97],
    [895,"Asia","Indonesia","ID","IDN",360,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",21.5487236,19.66180729,19.52141047,17.87984443,17.28626233,17.1383462,16.67238738,16.09211022,18.08285295,19.6126764,15.67870444,15.99491776,16.31966897,15.18534822,14.3357803,13.12661864,12.97380272,13.7166831,14.48174026,15.29014815,13.92921271,13.51228707,13.37397424,13.35669916,13.336755,13.49264356,13.47874855,13.15663085,12.80849756,12.71260266,13.70246601,13.28068349],
    [896,"Asia","Indonesia","ID","IDN",360,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E",6.497301597,6.749448158,6.07450361,5.791846056,5.764662749,5.889219572,5.946358024,5.84534738,6.744884185,5.788391155,9.430969282,4.944413264,3.874089512,5.165574749,5.520596463,6.377850464,6.468661554,6.583576257,6.748823909,7.098882481,7.788722803,8.04741807,8.100565272,8.032691559,7.781961212,7.404162695,7.452175988,7.689763821,7.974490584,7.787704139,7.3427755,8.217153311],
    [897,"Asia","Indonesia","ID","IDN",360,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",6.497301597,6.749448158,6.07450361,5.791846056,5.764662749,5.889219572,5.946358024,5.84534738,6.744884185,5.788391155,9.430969282,4.944413264,3.874089512,5.165574749,5.520596463,6.377850464,6.468661554,6.583576257,6.748823909,7.098882481,7.788722803,8.04741807,8.100565272,8.032691559,7.781961212,7.404162695,7.452175988,7.689763821,7.974490584,7.787704139,7.3427755,8.217153311],
    [898,"Asia","Indonesia","ID","IDN",360,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",19.89302505,20.95643794,21.7564418,22.30495082,23.34803779,24.13317871,25.61663487,26.79294652,24.99567095,25.99487911,22.65975121,30.75459722,31.95327849,28.25284184,28.06582659,27.40750748,27.53757408,27.04841275,27.81427299,26.35547453,22.03862859,21.7608545,21.45095506,21.02868868,21.07517605,20.98578743,20.52297468,20.16002236,19.86319338,19.70353909,19.87328813,19.25015662],
    [899,"Asia","Indonesia","ID","IDN",360,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",39.06634655,39.1334103,40.49863689,42.43966659,42.07171164,41.06081638,39.87190368,39.57890112,36.68682354,37.02727102,33.36863651,38.41724523,40.104784,41.06508569,41.03660373,40.33232249,40.08263854,39.48417538,37.45751503,37.05772988,40.66599029,40.58460421,40.87337489,41.51653748,42.24218531,43.30908092,43.64174881,43.61405533,43.40483731,44.22074584,44.39591936,42.81769996],
    [900,"Asia","Indonesia","ID","IDN",360,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E",6.497301597,6.749448158,6.07450361,5.791846056,5.764662749,5.889219572,5.946358024,5.84534738,6.744884185,5.788391155,9.430969282,4.944413264,3.874089512,5.165574749,5.520596463,6.377850464,6.468661554,6.583576257,6.748823909,7.098882481,7.788722803,8.04741807,8.100565272,8.032691559,7.781961212,7.404162695,7.452175988,7.689763821,7.974490584,7.787704139,7.3427755,8.217153311],
    [901,"Asia","Indonesia","ID","IDN",360,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",7.224334601,6.775817441,6.497506517,6.49640812,7.539971096,8.220007399,7.818187077,4.699878854,-13.12672549,0.791126082,4.920067747,3.643466447,4.499475391,4.780369122,5.030873945,5.692571304,5.500951785,6.345022227,6.0137036,4.628871183,6.223854181,6.169784208,6.030050653,5.557263689,5.006668426,4.8763223,5.033069183,5.069785901,5.17429154,5.01928768,-2.065004941,3.691240112],
    [902,"Asia","Indonesia","ID","IDN",360,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,236758.1226,null,null,null],
    [903,"Asia","Indonesia","ID","IDN",360,"Passenger activity","Road","Bus","All","All","ROAD_PA_BUS","million passenger-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.98005,0.89522,0.99367,0.98119,1.08884,1.16016,1.16585,1.04723,1.26782,3.88154,2.9371,2.88073,2.9083,2.54793,null,null,null,null],
    [904,"Asia","Indonesia","ID","IDN",360,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,19228,18628,16829,15031,14777,14345,15579,15872,17937,19779,20340,19024,17154,16926,20396,22296,21636,25654,28002,29066,null,null],
    [905,"Asia","Indonesia","ID","IDN",360,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,611785.4998,null,null,null],
    [906,"Asia","Indonesia","ID","IDN",360,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,22296,21636,25654,28002,29068,10488,null],
    [907,"Asia","Indonesia","ID","IDN",360,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UIC (2023). International Railway Statistics, Traffic on the national Territory - PKm, VAR 5113, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,19228,18270,16329,15031,14777,14345,15579,15872,17937,19779,20340,19024,17154,16926,20396,22296,null,15558,16932,null,null,null],
    [908,"Asia","Indonesia","ID","IDN",360,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","The World Bank (2023). Railways, passengers carried (million passenger-km). Available at: https://data.worldbank.org/indicator/IS.RRS.PASG.KM","A",null,null,null,null,null,null,null,null,null,null,19228,18270,16329,15031,14777,14345,15579,15872,17937,19779,20340,19024,17154,16926,20396,22296,21636,15558,16932,29066,null,null],
    [909,"Asia","Indonesia","ID","IDN",360,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,111371.0698,123533.5416,null,null,null],
    [910,"Asia","Indonesia","ID","IDN",360,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,350247.9,null,null,null],
    [911,"Asia","Indonesia","ID","IDN",360,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",3190,3470,3779,3955,3854,4172,4700,5030,4963,5035,4997,4859,4450,4356,4580,4432,4474,4426,5283,5709,6559,6643,6951,8190,9884,10057,11120,13376,15098,15573,null,null],
    [912,"Asia","Indonesia","ID","IDN",360,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,5896.206,null,null,null],
    [913,"Asia","Indonesia","ID","IDN",360,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,10057,11120,13376,15098,15573,13805,null],
    [914,"Asia","Indonesia","ID","IDN",360,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UIC (2023). International Railway Statistics, Global Traffic -Domestic traffic in millions of tonne kilometres, VAR 6757, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,4405,5452,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [915,"Asia","Indonesia","ID","IDN",360,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","The World Bank (2023). Railways, goods transported (million ton-km). Available at: https://data.worldbank.org/indicator/IS.RRS.GOOD.MT.K6","A",null,null,null,null,null,4170,4730,4980,4960,5141,4997,null,null,null,null,null,4390,4405,5452,null,7166,null,null,null,9884,10057,11120,13396,15091,15573,null,null],
    [916,"Asia","Indonesia","ID","IDN",360,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1052.36048,1131.913455,null,null,null],
    [917,"Asia","Indonesia","ID","IDN",360,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",458.6000061,475.5,504.1000061,615.5,733.7000122,782.5999756,749.4000244,710,429.3999939,362,408.542,408.372,405.498,424.362,434.101,439.773,469.222,484.52,394.583,276.918,665.6636285,754.2979384,880.340264,768.23502,902.1164864,758.7051634,974.556289,1052.36048,1131.913455,981.74186,674.7993785,772.901013],
    [918,"Asia","Indonesia","ID","IDN",360,"Freight activity","Aviation","All","All","Domestic","AVIA_GONC_DOM","milion ton-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,2134,2780,6763,6801,3957,16454,11592,5243,11832,5542,6040,5941,6497,6951,7794,null,null,null],
    [919,"Asia","Indonesia","ID","IDN",360,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2622.052,null,null,null],
    [920,"Asia","Indonesia","ID","IDN",360,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",8889022,9582138,10197955,10784597,11928837,13208832,14530095,16535119,17611767,18224149,18975344,20922235,22985183,26613987,30541954,37623432,43313052,54802680,61685063,67336644,76907127,85601351,93948927,103913476,113354989,120786914,128069103,130562687,140785726,126416772,null,null],
    [921,"Asia","Indonesia","ID","IDN",360,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,105303318,112205711,118722463,126850824,133845876,136114412,null],
    [922,"Asia","Indonesia","ID","IDN",360,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",6082966,6494871,6941000,7355114,8134903,9076831,10090805,11735797,12628991,13053148,13563017,15275073,17002130,19976376,23061021,28531831,32528758,41955128,47683681,52767093,61078188,68839341,77755658,86253257,94243031,100457355,106538948,108594712,114785638,106653655,null,null],
    [923,"Asia","Indonesia","ID","IDN",360,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,88656931,94531510,100000000,107000000,113000000,115000000,null],
    [924,"Asia","Indonesia","ID","IDN",360,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,12304221,13142958,13968202,14830698,15592419,15797746,null],
    [925,"Asia","Indonesia","ID","IDN",360,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",468550,504720,539943,568490,651608,688525,595419,611402,626680,644667,666280,680550,714222,798079,933251,1110255,1350047,1736087,2059187,2160973,2250109,2254406,4723315,5156362,5570987,5907169,6248771,6368534,6888693,4701875,null,null],
    [926,"Asia","Indonesia","ID","IDN",360,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,196309,204512,213359,222872,231569,233261,null],
    [927,"Asia","Indonesia","ID","IDN",360,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",1313210,1494607,1590750,1700454,1890340,2107299,2409088,2639523,2769375,2897803,3038913,3189319,3403433,3792510,4231901,5076230,6035291,6877229,7489852,7910407,8891041,9548866,9524666,10540936,11561123,12424358,13278197,13589328,17072358,14848853,null,null],
    [928,"Asia","Indonesia","ID","IDN",360,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,4145857,4326731,4540902,4797254,5021888,5083405,null],
    [929,"Asia","Indonesia","ID","IDN",360,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",1024296,1087940,1126262,1160539,1251986,1336177,1434783,1548397,1586721,1628531,1707134,1777293,1865398,2047022,2315781,2875116,3398956,4234236,4452343,4498171,4687789,4958738,1945288,1962921,1979848,1998032,2003187,2010113,2039037,212389,null,null],
    [930,"Asia","Indonesia","ID","IDN",360,"Energy intensity","Road","Motorcycle","All","All","NRG_EIP_MOTORC","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.5,null,null,null],
    [931,"Asia","Indonesia","ID","IDN",360,"Energy intensity","Road","Car","All","All","NRG_EIP_CAR","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.8,null,null,null],
    [932,"Asia","Indonesia","ID","IDN",360,"Energy intensity","Road","Minibus ","All","All","NRG_EIP_MINIBU","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I, W",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.7,null,null,null],
    [933,"Asia","Indonesia","ID","IDN",360,"Energy intensity","Road","Bus","All","All","NRG_EIP_BUS","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I, W",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.7,null,null,null],
    [934,"Asia","Indonesia","ID","IDN",360,"Energy intensity","Road","Light-duty vehicle","All","All","NRG_EIP_LDV","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.7,null,null,null],
    [935,"Asia","Indonesia","ID","IDN",360,"Energy intensity","Rail","All","All","All","NRG_EIP_RAIL","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.2,null,null,null],
    [936,"Asia","Indonesia","ID","IDN",360,"Energy intensity","Aviation","All","All","All","NRG_EIP_AVI","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.8,null,null,null],
    [937,"Africa","Kenya","KE","KEN",404,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",23.724574,24.521714,25.32608,26.136217,26.950508,27.768297,28.589456,29.41566,30.250488,31.098763,31.964557,32.848569,33.751746,34.678781,35.635267,36.624897,37.649039,38.705934,39.791984,40.901798,42.030684,43.17827,44.343469,45.519986,46.700063,47.878339,49.051531,50.221146,51.39257,52.573967,53.7713,54.985702],
    [938,"Africa","Kenya","KE","KEN",404,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",16.748,17.043,17.342,17.645,17.952,18.263,18.579,18.898,19.222,19.55,19.892,20.239,20.591,20.948,21.31,21.675,22.045,22.42,22.8,23.183,23.571,23.969,24.376,24.794,25.221,25.658,26.105,26.562,27.03,27.507,27.995,28.493],
    [939,"Africa","Kenya","KE","KEN",404,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",83.252,82.957,82.658,82.355,82.048,81.737,81.421,81.102,80.778,80.45,80.108,79.761,79.409,79.052,78.69,78.325,77.955,77.58,77.2,76.817,76.429,76.031,75.624,75.206,74.779,74.342,73.895,73.438,72.97,72.493,72.005,71.507],
    [940,"Africa","Kenya","KE","KEN",404,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",3.384342362,3.304762215,3.227568409,3.148728216,3.068016991,2.989282737,2.914300425,2.848920708,2.798513098,2.76557269,2.745965174,2.728048712,2.712396698,2.709585204,2.720779221,2.739246149,2.757917431,2.768549226,2.767256336,2.750853799,2.722590001,2.693743646,2.662807804,2.618604478,2.559403145,2.491767548,2.420820938,2.356477449,2.305743642,2.272746379,2.251879431,2.233332022],
    [941,"Africa","Kenya","KE","KEN",404,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",30431.94479,30869.66169,30622.86061,30731.01971,31540.10124,32929.82639,34295.37336,34458.24275,35591.99258,36412.52632,36630.89056,38015.50398,38223.39538,39344.2871,41352.53746,43795.09377,46629.72871,49824.20542,49939.93845,51591.42216,55748.9033,58603.8638,61281.28657,63608.65693,66801.88212,70120.41333,73074.94891,75879.53489,80165.17035,84264.94451,84054.15095,90372.80019],
    [942,"Africa","Kenya","KE","KEN",404,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",25.31413336,24.32014817,24.78128722,26.80801341,28.11535668,26.34961956,27.49252178,27.6939374,27.7449136,28.74407961,28.72178064,27.84926011,25.8539676,25.80443937,24.92904109,24.2362747,20.5196878,20.58666446,22.19634016,16.25498147,17.56775989,18.89471122,18.82972593,18.61655159,18.34783934,19.46961478,20.03451643,20.89363741,20.31491042,20.86116381,22.62100885,22.42824552],
    [943,"Africa","Kenya","KE","KEN",404,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E",6.200956092,6.322380647,6.447012811,5.946657234,5.249739236,5.96834418,4.331887009,4.271669544,4.377307395,4.215900731,4.076188728,4.455431093,5.015827271,4.980386642,5.084785509,5.047131797,5.478092767,5.465082606,5.194374571,4.61255127,4.757873007,4.614543038,4.812407698,4.797907815,4.877426956,4.807942458,4.732494573,4.837704932,5.085917768,5.091452429,5.282081661,5.304780876],
    [944,"Africa","Kenya","KE","KEN",404,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",6.200956092,6.322380647,6.447012811,5.946657234,5.249739236,5.96834418,4.331887009,4.271669544,4.377307395,4.215900731,4.076188728,4.455431093,5.015827271,4.980386642,5.084785509,5.047131797,5.478092767,5.465082606,5.194374571,4.61255127,4.757873007,4.614543038,4.812407698,4.797907815,4.877426956,4.807942458,4.732494573,4.837704932,5.085917768,5.091452429,5.282081661,5.304780876],
    [945,"Africa","Kenya","KE","KEN",404,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",10.0532694,10.41254657,9.307076684,8.510982885,9.02395926,8.363447203,11.85948215,11.56828458,10.92996048,10.14458011,10.31558075,9.779939837,9.823609462,9.709025236,10.00079257,10.53608575,12.68935539,12.79043986,12.09577062,11.49295314,11.16037502,12.04776729,11.08334027,10.90901663,10.06503343,9.975179818,9.321491101,8.739141731,8.408385292,7.904615937,7.611649982,7.244218148],
    [946,"Africa","Kenya","KE","KEN",404,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",46.02972897,46.30016331,46.57059766,46.841032,47.11146635,47.3819007,47.65233504,47.92276939,48.19320374,48.46363808,48.73407243,49.00450677,49.27494112,49.54537547,49.81580981,50.08624416,50.3566785,50.22764786,50.12476551,58.41441159,56.99824607,55.21389237,55.6497107,56.08070834,56.95484636,56.13137803,56.44650875,55.85410607,56.01895098,55.95986297,53.92109618,54.4131937],
    [947,"Africa","Kenya","KE","KEN",404,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E",6.200956092,6.322380647,6.447012811,5.946657234,5.249739236,5.96834418,4.331887009,4.271669544,4.377307395,4.215900731,4.076188728,4.455431093,5.015827271,4.980386642,5.084785509,5.047131797,5.478092767,5.465082606,5.194374571,4.61255127,4.757873007,4.614543038,4.812407698,4.797907815,4.877426956,4.807942458,4.732494573,4.837704932,5.085917768,5.091452429,5.282081661,5.304780876],
    [948,"Africa","Kenya","KE","KEN",404,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",4.192050972,1.438346792,-0.799493959,0.353197256,2.632784518,4.406216525,4.146839269,0.474901921,3.290213722,2.305388595,0.599695391,3.779906498,0.54685953,2.932475546,5.104299776,5.90666608,6.4724943,6.85072977,0.232282745,3.306939816,8.058473603,5.12110612,4.568679614,3.797848393,5.020111002,4.967721128,4.213517068,3.837958174,5.647946407,5.114158858,-0.250155705,7.517355387],
    [949,"Africa","Kenya","KE","KEN",404,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","GIZ TraCS (2018). Greenhouse gas emissions from the transport sector: Mitigation options for Kenya. Available at: https://www.changing-transport.org/wp-content/uploads/2018_GIZ_INFRAS_Transport_Mitigation_Options_Kenya.pdf","P",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,8629,null,null,null,null,null,null],
    [950,"Africa","Kenya","KE","KEN",404,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,52485.07434,null,null,null],
    [951,"Africa","Kenya","KE","KEN",404,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","JICA (2006). The Study on Master Plan for Urban Transport in the Nairobi Metropolitan Area. Available at: https://openjicareport.jica.go.jp/pdf/11823093_03.pdf","A",null,null,null,null,null,null,393,432,306,302,216,288,297,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [952,"Africa","Kenya","KE","KEN",404,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","KNBS (2021). Statistical Abstract 2021. Available at: https://www.knbs.or.ke/download/statistical-abstract-2021/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,113,317,916,892,424,null],
    [953,"Africa","Kenya","KE","KEN",404,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,46.932679,null,null,null],
    [954,"Africa","Kenya","KE","KEN",404,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,99,113,417,915,892,424,null],
    [955,"Africa","Kenya","KE","KEN",404,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UIC (2023). International Railway Statistics, Traffic on the national Territory - PKm, VAR 5113, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,158.7,166.2,288,null,226,null,null,109.24,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [956,"Africa","Kenya","KE","KEN",404,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","The World Bank (2023). Railways, passengers carried (million passenger-km). Available at: https://data.worldbank.org/indicator/IS.RRS.PASG.KM","A",null,null,null,null,null,408,384,393,346.8,302,158.7,166.2,288,null,226,null,null,109.24,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [957,"Africa","Kenya","KE","KEN",404,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",715.4,585.9,394.7,407.9,408,408,null,393,null,306,350,166,288,null,226,226,226,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [958,"Africa","Kenya","KE","KEN",404,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,11053.15494,11658.4098,null,null,null],
    [959,"Africa","Kenya","KE","KEN",404,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,8855.190131,null,null,null],
    [960,"Africa","Kenya","KE","KEN",404,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","JICA (2006). The Study on Master Plan for Urban Transport in the Nairobi Metropolitan Area. Available at: https://openjicareport.jica.go.jp/pdf/11823093_03.pdf","A",null,null,null,null,null,null,1068.2,1111,1492,1557,1603,1538,1571,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [961,"Africa","Kenya","KE","KEN",404,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","KNBS (2021). Statistical Abstract 2021. Available at: https://www.knbs.or.ke/download/statistical-abstract-2021/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1141,857,1675,2334,2488,null],
    [962,"Africa","Kenya","KE","KEN",404,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",1919,1784,1440,1282,1282,1282,1309,1068,1111,1492,1557,1603,1538,null,1399,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [963,"Africa","Kenya","KE","KEN",404,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,5506.228229,null,null,null],
    [964,"Africa","Kenya","KE","KEN",404,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1283,1141,857,1682,2334,2488,null],
    [965,"Africa","Kenya","KE","KEN",404,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",1919,1784,1440,1282,1282,null,null,1309,null,1111,1492,1603,1538,null,1399,1399,1399,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [966,"Africa","Kenya","KE","KEN",404,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",52,39,51,56,57,53,48,51,54,66,77,93,118,142,193,253,301,298,295,272,280,191,235,258,249,233,258,276,295,321,113,null],
    [967,"Africa","Kenya","KE","KEN",404,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,275.512277,294.965258,null,null,null],
    [968,"Africa","Kenya","KE","KEN",404,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",52.2,39.2,51,56.1,57.2,52.8,47.8,50.8,53.9,65.6,77.045,92.732,118.382,141.539,193.459,253.163,301.219,298.083,295.183,271.562,279.991,191.161,234.569,258.081,280.736,null,null,null,null,null,null,null],
    [969,"Africa","Kenya","KE","KEN",404,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","GIZ TraCS (2018). Greenhouse gas emissions from the transport sector: Mitigation options for Kenya. Available at: https://www.changing-transport.org/wp-content/uploads/2018_GIZ_INFRAS_Transport_Mitigation_Options_Kenya.pdf","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1259237,null,1620897,null,null,null,null],
    [970,"Africa","Kenya","KE","KEN",404,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","KNBS (2021). Statistical Abstract 2021. Available at: https://www.knbs.or.ke/download/statistical-abstract-2021/; GIZ TraCS (2018). Greenhouse gas emissions from the transport sector: Mitigation options for Kenya. Available at: https://www.changing-transport.org/wp-content/uploads/2018_GIZ_INFRAS_Transport_Mitigation_Options_Kenya.pdf","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1472952,1755624,2052913,2380089,2726818,null],
    [971,"Africa","Kenya","KE","KEN",404,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2375837,2581847,2863385,3146789,3469055,3801897,null],
    [972,"Africa","Kenya","KE","KEN",404,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","GIZ TraCS (2018). Greenhouse gas emissions from the transport sector: Mitigation options for Kenya. Available at: https://www.changing-transport.org/wp-content/uploads/2018_GIZ_INFRAS_Transport_Mitigation_Options_Kenya.pdf","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,539768,null,762807,null,null,null,null],
    [973,"Africa","Kenya","KE","KEN",404,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","KNBS (2021). Statistical Abstract 2021. Available at: https://www.knbs.or.ke/download/statistical-abstract-2021/; GIZ TraCS (2018). Greenhouse gas emissions from the transport sector: Mitigation options for Kenya. Available at: https://www.changing-transport.org/wp-content/uploads/2018_GIZ_INFRAS_Transport_Mitigation_Options_Kenya.pdf","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,663307,854908,1050161,1267586,1520187,null],
    [974,"Africa","Kenya","KE","KEN",404,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,972483,1116629,1308230,1497224,1714649,1967250,null],
    [975,"Africa","Kenya","KE","KEN",404,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","GIZ TraCS (2018). Greenhouse gas emissions from the transport sector: Mitigation options for Kenya. Available at: https://www.changing-transport.org/wp-content/uploads/2018_GIZ_INFRAS_Transport_Mitigation_Options_Kenya.pdf","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,532406,null,626896,null,null,null,null],
    [976,"Africa","Kenya","KE","KEN",404,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","KNBS (2021). Statistical Abstract 2021. Available at: https://www.knbs.or.ke/download/statistical-abstract-2021/; GIZ TraCS (2018). Greenhouse gas emissions from the transport sector: Mitigation options for Kenya. Available at: https://www.changing-transport.org/wp-content/uploads/2018_GIZ_INFRAS_Transport_Mitigation_Options_Kenya.pdf","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,591019,657717,732400,814883,880599,null],
    [977,"Africa","Kenya","KE","KEN",404,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,847745,906358,973056,1047855,1130338,1196054,null],
    [978,"Africa","Kenya","KE","KEN",404,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","GIZ TraCS (2018). Greenhouse gas emissions from the transport sector: Mitigation options for Kenya. Available at: https://www.changing-transport.org/wp-content/uploads/2018_GIZ_INFRAS_Transport_Mitigation_Options_Kenya.pdf","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,57792,null,75202,null,null,null,null],
    [979,"Africa","Kenya","KE","KEN",404,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","KNBS (2021). Statistical Abstract 2021. Available at: https://www.knbs.or.ke/download/statistical-abstract-2021/; GIZ TraCS (2018). Greenhouse gas emissions from the transport sector: Mitigation options for Kenya. Available at: https://www.changing-transport.org/wp-content/uploads/2018_GIZ_INFRAS_Transport_Mitigation_Options_Kenya.pdf","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,60076,61607,63484,66755,68739,null],
    [980,"Africa","Kenya","KE","KEN",404,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,100990,103268,104799,106676,112327,114311,null],
    [981,"Africa","Kenya","KE","KEN",404,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","GIZ TraCS (2018). Greenhouse gas emissions from the transport sector: Mitigation options for Kenya. Available at: https://www.changing-transport.org/wp-content/uploads/2018_GIZ_INFRAS_Transport_Mitigation_Options_Kenya.pdf","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,119230,null,142922,null,null,null,null],
    [982,"Africa","Kenya","KE","KEN",404,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","KNBS (2021). Statistical Abstract 2021. Available at: https://www.knbs.or.ke/download/statistical-abstract-2021/; GIZ TraCS (2018). Greenhouse gas emissions from the transport sector: Mitigation options for Kenya. Available at: https://www.changing-transport.org/wp-content/uploads/2018_GIZ_INFRAS_Transport_Mitigation_Options_Kenya.pdf","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,131952,141818,153038,163227,169292,null],
    [983,"Africa","Kenya","KE","KEN",404,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,278634,303924,318172,329392,339581,345646,null],
    [984,"Africa","Kenya","KE","KEN",404,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","GIZ TraCS (2018). Greenhouse gas emissions from the transport sector: Mitigation options for Kenya. Available at: https://www.changing-transport.org/wp-content/uploads/2018_GIZ_INFRAS_Transport_Mitigation_Options_Kenya.pdf","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,10041,null,13070,null,null,null,null],
    [985,"Africa","Kenya","KE","KEN",404,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","KNBS (2021). Statistical Abstract 2021. Available at: https://www.knbs.or.ke/download/statistical-abstract-2021/; GIZ TraCS (2018). Greenhouse gas emissions from the transport sector: Mitigation options for Kenya. Available at: https://www.changing-transport.org/wp-content/uploads/2018_GIZ_INFRAS_Transport_Mitigation_Options_Kenya.pdf","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,19673,27133,33647,40165,46641,null],
    [986,"Africa","Kenya","KE","KEN",404,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,175985,151668,159128,165642,172160,178636,null],
    [987,"Africa","Kenya","KE","KEN",404,"Vehicle stock","Road","Trailer","All","All","ROAD_EQS_TRAILE","n","KNBS (2021). Statistical Abstract 2021. Available at: https://www.knbs.or.ke/download/statistical-abstract-2021/; GIZ TraCS (2018). Greenhouse gas emissions from the transport sector: Mitigation options for Kenya. Available at: https://www.changing-transport.org/wp-content/uploads/2018_GIZ_INFRAS_Transport_Mitigation_Options_Kenya.pdf","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2829,4782,6865,8504,10886,null],
    [988,"Africa","Kenya","KE","KEN",404,"Vehicle stock","Road","Special purpose vehicle","All","All","ROAD_EQS_SPECIA","n","KNBS (2021). Statistical Abstract 2021. Available at: https://www.knbs.or.ke/download/statistical-abstract-2021/; GIZ TraCS (2018). Greenhouse gas emissions from the transport sector: Mitigation options for Kenya. Available at: https://www.changing-transport.org/wp-content/uploads/2018_GIZ_INFRAS_Transport_Mitigation_Options_Kenya.pdf","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,4096,7659,13318,18969,30474,null],
    [989,"Africa","Kenya","KE","KEN",404,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [990,"Africa","Kenya","KE","KEN",404,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [991,"Africa","Kenya","KE","KEN",404,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [992,"Africa","Kenya","KE","KEN",404,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [993,"Africa","Kenya","KE","KEN",404,"Load factor","Road","Car","All","Urban","NRG_LF_CARURB","passenger/vehicle","Merven, B., Stone, A., Hughes, A. and Cohen, B. (2012). Quantifying the energy needs of the transport sector for South Africa: A bottom-up model. University of Cape Town, Cape Town. Available at: https://open.uct.ac.za/handle/11427/16905","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.7,null,null,null,null,null,null,null,null,null,null,null],
    [994,"Africa","Kenya","KE","KEN",404,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [995,"Africa","Kenya","KE","KEN",404,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [996,"Africa","Kenya","KE","KEN",404,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [997,"Africa","Kenya","KE","KEN",404,"Load factor","Road","Minibus","All","Urban","NRG_LF_MINIBUURB","passenger/vehicle","Merven, B., Stone, A., Hughes, A. and Cohen, B. (2012). Quantifying the energy needs of the transport sector for South Africa: A bottom-up model. University of Cape Town, Cape Town. Available at: https://open.uct.ac.za/handle/11427/16905","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,18,null,null,null,null,null,null,null,null,null,null,null],
    [998,"Africa","Kenya","KE","KEN",404,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [999,"Africa","Kenya","KE","KEN",404,"Load factor","Road","Bus","Diesel","Urban","NRG_LF_BUSDIEURB","passenger/vehicle","Merven, B., Stone, A., Hughes, A. and Cohen, B. (2012). Quantifying the energy needs of the transport sector for South Africa: A bottom-up model. University of Cape Town, Cape Town. Available at: https://open.uct.ac.za/handle/11427/16905","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,70,null,null,null,null,null,null,null,null,null,null,null],
    [1000,"Asia","Cambodia","KH","KHM",116,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",8.975597,9.289298,9.623899,9.970727,10.317901,10.656145,10.982919,11.298594,11.60051,11.886464,12.155241,12.405411,12.637719,12.856171,13.066475,13.273355,13.477705,13.679953,13.883835,14.093605,14.312205,14.541421,14.780454,15.02633,15.274506,15.521435,15.76629,16.009413,16.249795,16.486542,16.718971,16.946446],
    [1001,"Asia","Cambodia","KH","KHM",116,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",15.546,15.887,16.234,16.587,16.946,17.311,17.683,18.06,18.355,18.47,18.586,18.703,18.82,18.937,19.055,19.174,19.293,19.413,19.571,19.93,20.294,20.663,21.037,21.415,21.799,22.188,22.582,22.98,23.388,23.805,24.232,24.668],
    [1002,"Asia","Cambodia","KH","KHM",116,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",84.454,84.113,83.766,83.413,83.054,82.689,82.317,81.94,81.645,81.53,81.414,81.297,81.18,81.063,80.945,80.826,80.707,80.587,80.429,80.07,79.706,79.337,78.963,78.585,78.201,77.812,77.418,77.02,76.612,76.195,75.768,75.332],
    [1003,"Asia","Cambodia","KH","KHM",116,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",3.218335816,3.435353458,3.538649917,3.540401605,3.422684782,3.225637317,3.020452668,2.833704545,2.637076946,2.435121104,2.23601611,2.037231359,1.855316518,1.713801596,1.622586012,1.570885266,1.527819645,1.489463775,1.479373723,1.499593466,1.539152135,1.588852798,1.63044345,1.64983634,1.638116847,1.603680771,1.565214466,1.530274527,1.490343156,1.446411842,1.399965097,1.351407362],
    [1004,"Asia","Cambodia","KH","KHM",116,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",4522.216632,4939.814112,5357.411593,5775.009073,3764.807026,4137.653519,4381.671867,4557.228855,4770.581545,5376.702112,5914.027157,6395.924923,6816.708955,7396.531099,8161.371526,9242.760346,10238.3058,11283.90034,12038.97128,12049.4087,12767.92441,13670.56175,14670.33717,15749.58475,16874.51004,18049.95429,19301.41429,20651.91566,22194.44219,23760.06187,23024.44876,23721.25823],
    [1005,"Asia","Cambodia","KH","KHM",116,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",47.80304706,46.96682544,46.13060381,45.29438218,45.55770954,47.72456021,44.46307956,44.44721268,44.47995896,40.90385299,35.91870323,34.32030026,31.12904348,31.97082205,29.38975764,30.71005759,30.05876192,29.69654194,32.75105777,33.49071752,33.87667876,34.55731403,33.51960361,31.59506243,28.87130353,26.58036001,24.74266442,23.36144048,22.0129559,20.71187069,22.69639521,22.84750006],
    [1006,"Asia","Cambodia","KH","KHM",116,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E",1.795108658,1.937230823,2.079352989,2.221475155,3.110911593,2.979430397,3.153507192,2.941852417,2.684951182,3.485779894,3.642062486,3.50588791,3.981898455,3.875375984,4.179826053,4.135887518,4.219836827,4.821515537,4.35330764,4.434105796,4.374676978,4.255378874,4.540842203,4.802264697,5.342426014,5.85773153,6.458723059,6.909359869,7.381854745,8.054367566,8.166300605,8.369830591],
    [1007,"Asia","Cambodia","KH","KHM",116,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",1.795108658,1.937230823,2.079352989,2.221475155,3.110911593,2.979430397,3.153507192,2.941852417,2.684951182,3.485779894,3.642062486,3.50588791,3.981898455,3.875375984,4.179826053,4.135887518,4.219836827,4.821515537,4.35330764,4.434105796,4.374676978,4.255378874,4.540842203,4.802264697,5.342426014,5.85773153,6.458723059,6.909359869,7.381854745,8.054367566,8.166300605,8.369830591],
    [1008,"Asia","Cambodia","KH","KHM",116,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",7.271189043,7.719867528,8.168546013,8.617224497,8.853806046,9.145566842,10.09532944,11.63946738,12.66115574,13.19695981,16.01085177,16.76945233,17.608154,18.20426909,18.7827927,17.8046665,18.56459349,17.33274648,15.34740177,14.41717785,14.69387986,15.17259358,15.08786436,15.49057902,15.39756683,16.01377197,15.99518559,16.18857357,16.3494136,16.27677627,16.20365903,17.86494001],
    [1009,"Asia","Cambodia","KH","KHM",116,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",39.54043792,39.50161457,39.46279121,39.42396786,36.25574963,34.19158176,35.98106942,35.08776269,34.80403174,35.44184751,37.14425755,38.39258369,39.31710715,38.19878091,39.2879715,39.07761336,38.7171341,38.50616496,38.84161754,38.78978724,38.30541045,37.50395576,37.77000542,38.50756446,39.7038516,39.83267342,39.88598082,39.72190635,39.49206626,38.84825035,36.60104395,34.17806816],
    [1010,"Asia","Cambodia","KH","KHM",116,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E",1.795108658,1.937230823,2.079352989,2.221475155,3.110911593,2.979430397,3.153507192,2.941852417,2.684951182,3.485779894,3.642062486,3.50588791,3.981898455,3.875375984,4.179826053,4.135887518,4.219836827,4.821515537,4.35330764,4.434105796,4.374676978,4.255378874,4.540842203,4.802264697,5.342426014,5.85773153,6.458723059,6.909359869,7.381854745,8.054367566,8.166300605,8.369830591],
    [1011,"Asia","Cambodia","KH","KHM",116,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",9.23435373,9.23435373,8.453708394,7.794761948,-34.80863877,9.903468901,5.89750561,4.006621073,4.681632108,12.70538113,9.993580322,8.148386098,6.578939503,8.505895557,10.34052878,13.25008691,10.77108367,10.21257391,6.691577475,0.086696959,5.963078575,7.069569946,7.313345505,7.356665149,7.142571101,6.965797814,6.933313973,6.996903699,7.469169207,7.054106932,-3.096006731,3.026389363],
    [1012,"Asia","Cambodia","KH","KHM",116,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,14491.65295,null,null,null],
    [1013,"Asia","Cambodia","KH","KHM",116,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,14491.7,null,null,null],
    [1014,"Asia","Cambodia","KH","KHM",116,"Passenger activity","Road","Private","All","All","ROAD_PA_PRIVAT","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,201,null,null,null],
    [1015,"Asia","Cambodia","KH","KHM",116,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,17,5,1,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1016,"Asia","Cambodia","KH","KHM",116,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,23295.75179,null,null,null],
    [1017,"Asia","Cambodia","KH","KHM",116,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,23295.8,null,null,null],
    [1018,"Asia","Cambodia","KH","KHM",116,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UIC (2023). International Railway Statistics, Traffic on the national Territory - PKm, VAR 5113, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,45.4,33,null,45,45,45,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1019,"Asia","Cambodia","KH","KHM",116,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","The World Bank (2023). Railways, passengers carried (million passenger-km). Available at: https://data.worldbank.org/indicator/IS.RRS.PASG.KM","A",null,null,null,null,null,38.6,42,49,43,50.2,45.4,33,null,45,45,45,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1020,"Asia","Cambodia","KH","KHM",116,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1021,"Asia","Cambodia","KH","KHM",116,"Passenger activity","All","All","All","All","TRAN_PA_NAT","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,37787.5,null,null,null],
    [1022,"Asia","Cambodia","KH","KHM",116,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,9782.434,null,null,null],
    [1023,"Asia","Cambodia","KH","KHM",116,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,9782.4,null,null,null],
    [1024,"Asia","Cambodia","KH","KHM",116,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1452.51,null,null,null],
    [1025,"Asia","Cambodia","KH","KHM",116,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1452.5,null,null,null],
    [1026,"Asia","Cambodia","KH","KHM",116,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","The World Bank (2023). Railways, goods transported (million ton-km). Available at: https://data.worldbank.org/indicator/IS.RRS.GOOD.MT.K6","A",null,null,null,null,null,null,9,35,75,78,92,null,null,92,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1027,"Asia","Cambodia","KH","KHM",116,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.876,0.67645,null,null,null],
    [1028,"Asia","Cambodia","KH","KHM",116,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",null,null,null,null,null,null,null,null,null,null,null,null,4.087,3.265,3.143,1.202,1.111,2.03,0.661,0.987,0.022663076,0.095160051,0.068172612,1.070953761,1.75384,2.30126,1.441695,0.876,0.67645,0.68860716,null,null],
    [1029,"Asia","Cambodia","KH","KHM",116,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2333.153,null,null,null],
    [1030,"Asia","Cambodia","KH","KHM",116,"Freight activity","All","All","All","All","TRAN_GO_NAT","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,11234.9,null,null,null],
    [1031,"Asia","Cambodia","KH","KHM",116,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,418118,464739,513977,545315,577058,600912,633722,671812,738461,798416,828991,873495,918130,965046,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1032,"Asia","Cambodia","KH","KHM",116,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2834746,null,null,null,null,null],
    [1033,"Asia","Cambodia","KH","KHM",116,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,271084,309970,349706,372602,394708,407661,433768,458952,513503,565931,586278,619748,646944,680002,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1034,"Asia","Cambodia","KH","KHM",116,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2714193,381400,502701,null,null,null],
    [1035,"Asia","Cambodia","KH","KHM",116,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,97239,null,null,null,null,null],
    [1036,"Asia","Cambodia","KH","KHM",116,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,2248,2360,2520,2603,2685,2757,2813,2875,2918,2996,3196,3269,3502,3681,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1037,"Asia","Cambodia","KH","KHM",116,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,5145,5138,null,null,null,null,null],
    [1038,"Asia","Cambodia","KH","KHM",116,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,135088,141964,149628,155974,163239,171268,176268,185312,193851,200561,209128,219602,235298,247322,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1039,"Asia","Cambodia","KH","KHM",116,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,10184,10961,null,null,null,null,null],
    [1040,"Asia","Cambodia","KH","KHM",116,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,9696,10429,12090,14077,16329,18930,20557,24321,27819,28533,29968,30448,31946,33578,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1041,"Asia","Cambodia","KH","KHM",116,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,6211,7215,null,null,null,null,null],
    [1042,"Asia","Cambodia","KH","KHM",116,"Energy intensity","Road","Motorcycle","All","All","NRG_EIP_MOTORC","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.5,null,null,null],
    [1043,"Asia","Cambodia","KH","KHM",116,"Energy intensity","Road","Car","All","All","NRG_EIP_CAR","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.8,null,null,null],
    [1044,"Asia","Cambodia","KH","KHM",116,"Energy intensity","Road","Minibus ","All","All","NRG_EIP_MINIBU","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I, W",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.7,null,null,null],
    [1045,"Asia","Cambodia","KH","KHM",116,"Energy intensity","Road","Bus","All","All","NRG_EIP_BUS","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I, W",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.7,null,null,null],
    [1046,"Asia","Cambodia","KH","KHM",116,"Energy intensity","Road","Light-duty vehicle","All","All","NRG_EIP_LDV","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.7,null,null,null],
    [1047,"Asia","Cambodia","KH","KHM",116,"Energy intensity","Rail","All","All","All","NRG_EIP_RAIL","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.2,null,null,null],
    [1048,"Asia","Cambodia","KH","KHM",116,"Energy intensity","Aviation","All","All","All","NRG_EIP_AVI","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.8,null,null,null],
    [1049,"Asia","Republic of Korea","KR","KOR",410,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",42.869283,43.295704,43.747962,44.194628,44.64154,45.092991,45.524681,45.95358,46.286503,46.616677,47.008111,47.370164,47.644736,47.89233,48.082519,48.184561,48.438292,48.683638,49.054708,49.307835,49.554112,49.936638,50.199853,50.428893,50.746659,51.014947,51.217803,51.361911,51.585058,51.764822,51.836239,51.744876],
    [1050,"Asia","Republic of Korea","KR","KOR",410,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",73.844,74.972,75.82,76.645,77.452,78.239,78.662,78.905,79.145,79.384,79.621,79.94,80.299,80.652,81.002,81.345,81.528,81.631,81.733,81.835,81.936,81.923,81.851,81.779,81.707,81.634,81.562,81.503,81.459,81.43,81.414,81.414],
    [1051,"Asia","Republic of Korea","KR","KOR",410,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",26.156,25.028,24.18,23.355,22.548,21.761,21.338,21.095,20.855,20.616,20.379,20.06,19.701,19.348,18.998,18.655,18.472,18.369,18.267,18.165,18.064,18.077,18.149,18.221,18.293,18.366,18.438,18.497,18.541,18.57,18.586,18.586],
    [1052,"Asia","Republic of Korea","KR","KOR",410,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",0.985130494,0.989785982,1.039161356,1.015821437,1.006157245,1.006200855,0.952779422,0.937713809,0.721865018,0.710794593,0.836180864,0.767241775,0.577957277,0.518321453,0.396331437,0.211997784,0.52519994,0.505234033,0.759316682,0.514682828,0.498225084,0.768971759,0.525713661,0.455218622,0.628149861,0.527288497,0.396851823,0.280968018,0.433519028,0.347874969,0.137869266,-0.176408651],
    [1053,"Asia","Republic of Korea","KR","KOR",410,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",401487.7681,444760.345,472329.4501,504813.7859,551603.2913,604637.5505,652347.7058,692601.163,657074.5453,732420.9051,798784.3426,837544.5506,902246.0621,930642.373,979011.4993,1021192.628,1074951.543,1137293.878,1171560.371,1180847.318,1261201.91,1307685.623,1339103.175,1381481.889,1425723.208,1465773.246,1508967.849,1556645.737,1601903.714,1637850.078,1623895.081,1689194.476],
    [1054,"Asia","Republic of Korea","KR","KOR",410,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",7.606496334,6.824490651,6.60760508,5.914881371,5.658221058,5.328672039,4.960650984,4.47516964,4.225940698,4.249754418,3.857792038,3.565819021,3.206802038,2.964597278,2.958018544,2.619975731,2.497470419,2.283409085,2.142249743,2.240556812,2.144016322,2.209199955,2.186185041,2.099047114,2.05667705,2.003907793,1.859034883,1.850756295,1.746403394,1.667930979,1.832292167,1.838554543],
    [1055,"Asia","Republic of Korea","KR","KOR",410,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E",6.962670148,6.945957163,6.824390024,6.773783851,6.628162181,6.536437547,6.685268378,6.70155831,6.036617597,6.142037773,6.025132088,6.157056372,6.233438544,6.346706633,5.942195508,5.921308016,5.832658364,5.718314755,5.349452782,5.328656066,5.239619928,4.968050391,4.969571567,4.967165374,5.085292108,5.271183636,5.474853527,5.451860224,5.307798236,5.289231861,5.411923723,5.169088616],
    [1056,"Asia","Republic of Korea","KR","KOR",410,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",6.962670148,6.945957163,6.824390024,6.773783851,6.628162181,6.536437547,6.685268378,6.70155831,6.036617597,6.142037773,6.025132088,6.157056372,6.233438544,6.346706633,5.942195508,5.921308016,5.832658364,5.718314755,5.349452782,5.328656066,5.239619928,4.968050391,4.969571567,4.967165374,5.085292108,5.271183636,5.474853527,5.451860224,5.307798236,5.289231861,5.411923723,5.169088616],
    [1057,"Asia","Republic of Korea","KR","KOR",410,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",25.01897224,25.18901473,24.41078933,24.64149999,25.30211274,25.80146219,24.70505809,24.66161551,25.46710788,25.67377289,26.44837351,24.87906659,24.48564896,24.12400805,26.11841277,25.73718379,25.30537196,25.48295331,25.62215148,25.77490296,27.43876659,28.23679861,27.8318955,27.78585374,27.04245216,26.60603573,26.35776522,26.94587269,26.63850865,25.22222287,24.81069263,25.38733668],
    [1058,"Asia","Republic of Korea","KR","KOR",410,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",46.48652099,47.14862313,48.50843552,49.12226709,49.15517966,49.26055313,50.27848579,50.75853992,52.19709863,51.65035937,51.61843819,53.08394528,53.60723336,53.87127477,53.09698216,53.87891643,54.69918253,55.07869334,56.18724044,55.99857203,54.69835731,54.64985026,55.07320475,55.21360303,55.64499447,55.57650557,55.35863931,54.84779034,55.69169325,57.24215056,57.12124404,57.26684293],
    [1059,"Asia","Republic of Korea","KR","KOR",410,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E",6.962670148,6.945957163,6.824390024,6.773783851,6.628162181,6.536437547,6.685268378,6.70155831,6.036617597,6.142037773,6.025132088,6.157056372,6.233438544,6.346706633,5.942195508,5.921308016,5.832658364,5.718314755,5.349452782,5.328656066,5.239619928,4.968050391,4.969571567,4.967165374,5.085292108,5.271183636,5.474853527,5.451860224,5.307798236,5.289231861,5.411923723,5.169088616],
    [1060,"Asia","Republic of Korea","KR","KOR",410,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",9.877552502,10.77805613,6.198642798,6.877474129,9.268666338,9.614565393,7.890703326,6.170552427,-5.129448165,11.46694243,9.060833325,4.852399572,7.725142675,3.147291194,5.197391363,4.308542714,5.264326595,5.799548415,3.012984873,0.79269899,6.804824918,3.685667782,2.402530992,3.164708636,3.202453795,2.809103268,2.946881715,3.15963574,2.907403774,2.24397786,-0.852031429,4.021158473],
    [1061,"Asia","Republic of Korea","KR","KOR",410,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,74635.87,74572.19,84255.87,77925.46,77199.59,83216.66,91665.45,97853.79,119568.88,104142.26,101114.13,104671.02,343928.16,350216.95,361695.5,360935.89,385018.13,390540.86,393195.98,null,null,null,null],
    [1062,"Asia","Republic of Korea","KR","KOR",410,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,414046.3221,null,null,null],
    [1063,"Asia","Republic of Korea","KR","KOR",410,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,372888,390541,393196,399604,401574,null,null],
    [1064,"Asia","Republic of Korea","KR","KOR",410,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,46850.7,48795.1,59151.1,51928.8,50982.9,52749.2,54640.9,55525.9,55730.4,56766.4,55489.5,58381.8,63043.9,70078.9,66353.2,67860,68371,92758.3,90011.4,null,null,null,null],
    [1065,"Asia","Republic of Korea","KR","KOR",410,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,138305.4702,null,null,null],
    [1066,"Asia","Republic of Korea","KR","KOR",410,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,68371,86871,89964,92193,100381,null,null],
    [1067,"Asia","Republic of Korea","KR","KOR",410,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UIC (2023). International Railway Statistics, Traffic on the national Territory - PKm, VAR 5113, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,28097,29288,28787,28562,28641,31004,31596,31596,32026,31299,33012,21603,22112,22626,23071,23450,23747,21935,23002,23591,13803,15066],
    [1068,"Asia","Republic of Korea","KR","KOR",410,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","The World Bank (2023). Railways, passengers carried (million passenger-km). Available at: https://data.worldbank.org/indicator/IS.RRS.PASG.KM","A",null,null,null,null,null,43340,42439,41764,44121,46851,49558,59151,51929,50983,52749,54641,55526,55730,56766,55489,58381,63044,70079,66353,67860,68371,86871,89964,92193,100381,null,null],
    [1069,"Asia","Republic of Korea","KR","KOR",410,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,164423.6349,178239.19,null,null,null],
    [1070,"Asia","Republic of Korea","KR","KOR",410,"Passenger activity","Inland waterways","All","All","All","IWW_PA_NAT","million passenger-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,843,1070,956,1024,1156,1371,1525,1702,1784,1903,1713,1987,2169,2084,1012,755.8,757.4,839.1,915.7,null,null,null,null],
    [1071,"Asia","Republic of Korea","KR","KOR",410,"Passenger activity","All","All","All","All","TRAN_PA_NAT","million passenger-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,121486.62,123367.29,143406.97,129854.22,128182.5,135965.86,146306.38,153379.65,175299.33,160908.69,156603.65,163052.85,406972.09,420295.82,428048.67,428795.87,453389.1,483299.13,483207.43,null,null,null,null],
    [1072,"Asia","Republic of Korea","KR","KOR",410,"Passenger activity","All","All","All","All","TRAN_PA_NAT","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,441259,477412,483160,491797,501955,null,null],
    [1073,"Asia","Republic of Korea","KR","KOR",410,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,90875,null,null,101057,105673,109008,105222,101437,99089,103898,null,null,null,null,132382,135259,null,null,null,null,null],
    [1074,"Asia","Republic of Korea","KR","KOR",410,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,179592.3,null,null,null],
    [1075,"Asia","Republic of Korea","KR","KOR",410,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,132382,135259,142586,143530,139862,null,null],
    [1076,"Asia","Republic of Korea","KR","KOR",410,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",13662.914,14494.071,14256.108,14658.06,14070.366,13837.969,12946.839,12710.083,10372.301,10071.972,10803.026,10491.958,10783.837,11056.984,10640.917,10108.279,10553.676,10927.05,11565.634,9273.133,9452.369,9996.738,10271.23,10458.879,9563.603,9479.257,8414,8229,7878,7357,null,null],
    [1077,"Asia","Republic of Korea","KR","KOR",410,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,17775.22,null,null,null],
    [1078,"Asia","Republic of Korea","KR","KOR",410,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,9479,8414,8229,7877,7357,null,null],
    [1079,"Asia","Republic of Korea","KR","KOR",410,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","The World Bank (2023). Railways, goods transported (million ton-km). Available at: https://data.worldbank.org/indicator/IS.RRS.GOOD.MT.K6","A",null,null,null,null,null,12889,11914,11654,9857,9924,10621,10492,10784,11057,10641,10108,10554,10927,11566,9273,9452,9996,10271,10459,9564,9479,8414,8229,7878,7357,6652,6757],
    [1080,"Asia","Republic of Korea","KR","KOR",410,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,11511.80121,11929.55603,null,null,null],
    [1081,"Asia","Republic of Korea","KR","KOR",410,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",2459.399902,2597,3322.699951,4191,4643.299805,5661.299805,6550.899902,7889.200195,7290,8098.399902,7651.338,6827.179,7896.527,6935.935,8072.784,7432.57,7751.658,9039.721,8726.809,15162.607,12942.72733,12381.6339,12290.68063,11112.5146,11124.72618,11293.80127,10805.992,11511.80121,11518.62607,10664.37823,12456.57079,15370.01938],
    [1082,"Asia","Republic of Korea","KR","KOR",410,"Freight activity","Aviation","All","All","Domestic","AVIA_GONC_DOM","milion ton-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,168,null,null,164,151,145,128,125,111,145,null,null,null,null,112,115,null,null,null,null,null],
    [1083,"Asia","Republic of Korea","KR","KOR",410,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,36443,null,null,25840,26590,26478,27998,29590,25249,23281,null,null,null,null,31841,37036,null,null,null,null,null],
    [1084,"Asia","Republic of Korea","KR","KOR",410,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,31841,37036,33855,28282,27774,null,null],
    [1085,"Asia","Republic of Korea","KR","KOR",410,"Freight activity","All","All","All","All","TRAN_GO_NAT","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,173702,180709,184670,179689,174993,null,null],
    [1086,"Asia","Republic of Korea","KR","KOR",410,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,23151659,23984039,24724770,25410979,25914261,25981535,null],
    [1087,"Asia","Republic of Korea","KR","KOR",410,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,23076696,23903560,24638860,25320081,25818797,26549051,null],
    [1088,"Asia","Republic of Korea","KR","KOR",410,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,1700600,1708457,1730193,1728463,1726825,1747925,1785051,1814399,1820729,1825474,1828312,2093466,2117035,2136085,2161774,2180688,2196475,2208424,2236895,2238144,null],
    [1089,"Asia","Republic of Korea","KR","KOR",410,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2161774,2180688,2196475,2208424,2236895,2289009,null],
    [1090,"Asia","Republic of Korea","KR","KOR",410,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,16561665,17338160,18034540,18676924,19177517,19860955,null],
    [1091,"Asia","Republic of Korea","KR","KOR",410,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,144193,146179,147334,146896,148305,148004,null],
    [1092,"Asia","Republic of Korea","KR","KOR",410,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,920320,892539,867522,843794,811799,783842,null],
    [1093,"Asia","Republic of Korea","KR","KOR",410,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,17337792,18084520,18754728,19373822,19841011,19898204,null],
    [1094,"Asia","Republic of Korea","KR","KOR",410,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3432937,3492173,3540323,3590939,3592586,3600679,null],
    [1095,"Asia","Republic of Korea","KR","KOR",410,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3432937,3492173,3540323,3590939,3592586,3615245,null],
    [1096,"Asia","Republic of Korea","KR","KOR",410,"Vehicle stock","Road","Special purpose vehicle","All","All","ROAD_EQS_SPECIA","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,74963,80479,85910,90898,95464,96504,null],
    [1097,"Asia","Republic of Korea","KR","KOR",410,"Energy intensity","Road","Motorcycle","All","All","NRG_EIP_MOTORC","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.5,null,null,null],
    [1098,"Asia","Republic of Korea","KR","KOR",410,"Energy intensity","Road","Car","All","All","NRG_EIP_CAR","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.8,null,null,null],
    [1099,"Asia","Republic of Korea","KR","KOR",410,"Energy intensity","Road","Minibus ","All","All","NRG_EIP_MINIBU","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I, W",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.7,null,null,null],
    [1100,"Asia","Republic of Korea","KR","KOR",410,"Energy intensity","Road","Bus","All","All","NRG_EIP_BUS","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I, W",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.7,null,null,null],
    [1101,"Asia","Republic of Korea","KR","KOR",410,"Energy intensity","Road","Light-duty vehicle","All","All","NRG_EIP_LDV","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.7,null,null,null],
    [1102,"Asia","Republic of Korea","KR","KOR",410,"Energy intensity","Rail","All","All","All","NRG_EIP_RAIL","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.2,null,null,null],
    [1103,"Asia","Republic of Korea","KR","KOR",410,"Energy intensity","Aviation","All","All","All","NRG_EIP_AVI","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.8,null,null,null],
    [1104,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",4.258471,4.379234,4.500346,4.619946,4.735837,4.846477,4.951189,5.050308,5.144601,5.235339,5.323701,5.409584,5.493247,5.57664,5.662199,5.751675,5.846075,5.94495,6.04663,6.148621,6.249168,6.347564,6.444527,6.541302,6.639763,6.74116,6.845848,6.953031,7.061498,7.169456,7.275556,7.379358],
    [1105,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",15.437,15.782,16.133,16.49,16.854,17.378,18.234,19.12,20.039,20.991,21.977,22.993,24.044,25.126,26.242,27.186,27.748,28.316,28.893,29.475,30.064,30.66,31.264,31.872,32.487,33.108,33.736,34.368,35.004,35.645,36.29,36.939],
    [1106,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",84.563,84.218,83.867,83.51,83.146,82.622,81.766,80.88,79.961,79.009,78.023,77.007,75.956,74.874,73.758,72.814,72.252,71.684,71.107,70.525,69.936,69.34,68.736,68.128,67.513,66.892,66.264,65.632,64.996,64.355,63.71,63.061],
    [1107,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",2.849341226,2.796364758,2.728045946,2.6228734,2.477546305,2.309356949,2.137570051,1.982148177,1.849858373,1.748378341,1.67371395,1.600345709,1.534732441,1.506692482,1.522588817,1.567878407,1.627937916,1.677162379,1.695897237,1.672673698,1.622050585,1.562278237,1.516012622,1.490498475,1.494004186,1.515574686,1.541032017,1.55353425,1.547953069,1.517256974,1.469045621,1.41664067],
    [1108,"Asia","Lao People's Democratic Republic","LA","LAO",418,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",2736.044728,2853.600631,3012.256768,3190.358153,3450.660066,3693.284751,3949.167474,4220.557868,4388.013063,4708.6178,4981.660297,5268.176149,5579.985992,5918.52387,6294.805595,6742.213206,7323.342511,7879.684304,8496.261938,9133.632385,9912.448589,10709.2759,11568.81293,12497.36059,13448.65511,14426.38119,15439.52232,16503.69616,17534.84049,18491.84564,18584.86551,19054.75614],
    [1109,"Asia","Lao People's Democratic Republic","LA","LAO",418,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",46.46886347,43.95978493,46.72559089,43.41691706,44.08510354,42.2262356,40.49828878,42.10385365,33.93876567,34.31197937,33.63025103,32.68319294,33.3863041,32.08611458,30.52134752,28.29513534,26.72966991,25.78814868,24.17648143,24.20537708,22.59579413,20.79125519,18.54848657,17.93049843,17.84879178,17.5877597,17.23017659,16.19975986,15.70918682,16.05033906,16.33776236,16.06769702],
    [1110,"Asia","Lao People's Democratic Republic","LA","LAO",418,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E",3.035045271,2.766796093,1.583517147,3.341337687,3.79319762,3.644544266,4.060239023,0,4.59847415,5.487502747,5.142386952,5.445316657,4.803831967,5.389332675,5.106515054,6.224280314,8.556944678,7.493371614,7.210776511,6.138825759,7.579439625,8.921061961,10.77180615,10.38065022,9.85527811,10.01773957,10.84037882,11.59629316,11.74323444,11.59720557,11.64251727,12.1294992],
    [1111,"Asia","Lao People's Democratic Republic","LA","LAO",418,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",3.035045271,2.766796093,1.583517147,3.341337687,3.79319762,3.644544266,4.060239023,0,4.59847415,5.487502747,5.142386952,5.445316657,4.803831967,5.389332675,5.106515054,6.224280314,8.556944678,7.493371614,7.210776511,6.138825759,7.579439625,8.921061961,10.77180615,10.38065022,9.85527811,10.01773957,10.84037882,11.59629316,11.74323444,11.59720557,11.64251727,12.1294992],
    [1112,"Asia","Lao People's Democratic Republic","LA","LAO",418,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",4.176091037,5.21362505,5.600221455,5.455445397,5.471178324,5.979437592,6.590139074,12.66678974,8.692607546,8.699180372,8.710887028,9.144431074,10.14926028,9.81210927,10.09899321,9.641610223,9.455624323,10.0618302,10.08310157,11.67926547,11.09441037,10.67136615,8.983772742,8.435402283,8.427695284,8.190052195,7.771563827,7.483534519,7.45272744,7.643691941,7.684786494,8.69509979],
    [1113,"Asia","Lao People's Democratic Republic","LA","LAO",418,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",40.24990968,42.52620174,42.92363621,41.10362448,39.06412528,40.86069401,40.73085508,45.22935263,43.57320434,40.52633202,42.23170108,41.83642601,42.05293972,41.93377813,44.06011411,43.39041349,38.14387173,41.66990628,44.10808746,45.69888017,43.57147662,41.77419278,40.15232224,42.49214861,44.15767861,44.1689694,42.47712312,41.52782613,41.60838243,41.51435229,41.04989934,38.84870559],
    [1114,"Asia","Lao People's Democratic Republic","LA","LAO",418,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E",3.035045271,2.766796093,1.583517147,3.341337687,3.79319762,3.644544266,4.060239023,0,4.59847415,5.487502747,5.142386952,5.445316657,4.803831967,5.389332675,5.106515054,6.224280314,8.556944678,7.493371614,7.210776511,6.138825759,7.579439625,8.921061961,10.77180615,10.38065022,9.85527811,10.01773957,10.84037882,11.59629316,11.74323444,11.59720557,11.64251727,12.1294992],
    [1115,"Asia","Lao People's Democratic Republic","LA","LAO",418,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",6.704578691,4.29656364,5.559857768,5.912556556,8.15901853,7.031254328,6.928323725,6.872091273,3.967608091,7.306376073,5.798782326,5.751412882,5.918743682,6.067002304,6.35769548,7.107568369,8.619266209,7.596828801,7.824902763,7.501774913,8.526905517,8.038652681,8.026098434,8.026300226,7.611963441,7.270065843,7.022836255,6.892530873,6.247960008,5.457735092,0.50303183,2.528351001],
    [1116,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",383,null,null,null,null,749,930,1101,1208,1290,1424,1463,1573,1516,2079,1676,1869,2114,2113,2197,2556,2372,2619,2740,2979,3202,3342,3467,3704,3980,null,null],
    [1117,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,8559.643083,null,null,null],
    [1118,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3202,3342,3467,3704,3980,4060,null],
    [1119,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.12,2.97,3.37,0.11,0.11,0.2,null,null],
    [1120,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,15487.43386,null,null,null],
    [1121,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,130,110,110,110,200,30,null],
    [1122,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,860.667101,876.356249,null,null,null],
    [1123,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Passenger activity","Inland waterways","All","All","All","IWW_PA_NAT","million passenger-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",19,null,null,null,null,18,27,46,34,48,73,79,77,45,22,40.27,46.4,50.46,48.9,48.7,65.49,48.57,71.82,81.8,80.1,98.59,112,146.8,150.4,140,null,null],
    [1124,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Passenger activity","All","All","All","All","TRAN_PA_NAT","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3332,3452,3577,3814,4180,4090,null],
    [1125,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,82,72,95,105,121,162,171,163,242,328,260,266,277,287,296,513,319,363,388,395,435,627,481,482,517,null,null],
    [1126,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,21362.37,null,null,null],
    [1127,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,434.71,626.52,481.25,482.3,517.2,535.2,null],
    [1128,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",3190,3470,3779,3955,3854,4172,4700,5030,4963,5035,4997,4859,4450,4356,4580,4432,4474,4426,5283,5709,6559,6643,6951,8190,9884,10057,11120,13376,15098,15573,null,null],
    [1129,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.01,null],
    [1130,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.473259,1.532553,null,null,null],
    [1131,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Freight activity","Aviation","All","All","Domestic","AVIA_GONC_DOM","milion ton-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,1.78,0.7,2.2,0.7,0.5,0.59,0.44,0.64,0.87,0.75,0.35,0.27,0.21,0.3,0.2,1.19,0.35,0.54,0.47,5.22,0.38,0.36,0.53,0.83,2.64,null,null],
    [1132,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Freight activity","Aviation","All","All","Domestic","AVIA_GONC_DOM","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",0.800000012,0.800000012,0.800000012,0.800000012,0.800000012,0.899999976,0.899999976,0.899999976,1.700000048,1.5,1.671,1.64,1.828,1.911,2.261,2.481,2.545,2.625,2.579,2.367,0.122,0.389,0.966483518,1.409832,1.37196,1.356497701,1.49602039,1.473259309,0.911447,0.910194,null,null],
    [1133,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,59,64,70,56,50,41,43,61,68,70,70,70,79,85,95,86,98,63,64,60,null,null],
    [1134,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7135.076,null,null,null],
    [1135,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,86.06,97.86,62.7,64.1,60,54.8,null],
    [1136,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Freight activity","All","All","All","All","TRAN_GO_NAT","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,520.77,724.38,543.95,546.4,577.2,590.01,null],
    [1137,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,450532,466248,582722,641081,768561,886348,1008788,1016860,1288304,1439282,1586545,1717144,1850020,1979606,2105207,2233685,null,null],
    [1138,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1708383,1841141,1970436,2096006,2224461,2334152,null],
    [1139,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,367943,379490,485401,517939,631770,720424,812629,826228,1013635,1120495,1227116,1326542,1422869,1513737,1602994,1697381,null,null],
    [1140,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1317781,1413990,1504634,1593860,1688224,1766383,null],
    [1141,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,85540,95922,108286,135370,145319,153954,null],
    [1142,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,2179,1279,1522,2242,2520,2707,2825,2752,3430,3865,4120,4448,4665,5018,5274,5649,null,null],
    [1143,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,4448,4665,4951,5207,5582,5723,null],
    [1144,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,62107,66715,71273,92507,105449,129385,155727,150465,200164,226407,258880,289868,320982,353998,400752,429703,null,null],
    [1145,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,251880,274121,296230,301747,322006,340243,null],
    [1146,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,18303,18764,24526,28393,28822,33832,37607,37415,71075,88515,96429,96286,101504,106853,96187,100952,null,null],
    [1147,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,48734,52443,56335,59822,63330,67849,null],
    [1148,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Energy intensity","Road","Motorcycle","All","All","NRG_EIP_MOTORC","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.5,null,null,null],
    [1149,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Energy intensity","Road","Car","All","All","NRG_EIP_CAR","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.8,null,null,null],
    [1150,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Energy intensity","Road","Minibus ","All","All","NRG_EIP_MINIBU","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I, W",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.7,null,null,null],
    [1151,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Energy intensity","Road","Bus","All","All","NRG_EIP_BUS","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I, W",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.7,null,null,null],
    [1152,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Energy intensity","Road","Light-duty vehicle","All","All","NRG_EIP_LDV","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.7,null,null,null],
    [1153,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Energy intensity","Rail","All","All","All","NRG_EIP_RAIL","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.2,null,null,null],
    [1154,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Energy intensity","Aviation","All","All","All","NRG_EIP_AVI","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.8,null,null,null],
    [1155,"Africa","Liberia","LR","LBR",430,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",2.075917,2.040141,2.001612,1.976701,1.986491,2.044657,2.16048,2.32621,2.517472,2.699708,2.848447,2.953928,3.024727,3.077055,3.135654,3.218114,3.329211,3.461911,3.607863,3.754129,3.891357,4.017446,4.135662,4.248337,4.359508,4.472229,4.586788,4.702224,4.818976,4.937374,5.057677,5.180208],
    [1156,"Africa","Liberia","LR","LBR",430,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",55.422,58,55.019,52.009,48.981,45.96,42.964,43.304,43.646,43.988,44.331,44.673,45.017,45.361,45.706,46.051,46.396,46.742,47.088,47.445,47.813,48.193,48.583,48.985,49.397,49.82,50.254,50.697,51.151,51.615,52.089,52.573],
    [1157,"Africa","Liberia","LR","LBR",430,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",44.578,42,44.981,47.991,51.019,54.04,57.036,56.696,56.354,56.012,55.669,55.327,54.983,54.639,54.294,53.949,53.604,53.258,52.912,52.555,52.187,51.807,51.417,51.015,50.603,50.18,49.746,49.303,48.849,48.385,47.911,47.427],
    [1158,"Africa","Liberia","LR","LBR",430,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",-1.45911129,-1.738406066,-1.90660672,-1.252356242,0.494047218,2.886028358,5.510036996,7.390991454,7.901488963,6.988839561,5.363031447,3.63618766,2.368502939,1.715213126,1.886479404,2.59577089,3.393986531,3.908540976,4.129488156,3.974067062,3.590163907,3.188843736,2.900103505,2.688019985,2.583159471,2.55277351,2.529305492,2.485559131,2.452586907,2.427215355,2.407367606,2.393792293],
    [1159,"Africa","Liberia","LR","LBR",430,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",1532.435873,1600.221466,1668.007059,1735.792652,1803.578245,1871.363838,1939.149431,2006.935024,2074.720617,2142.50621,2210.291804,2274.838397,2360.440967,1648.882905,1692.081112,1781.443511,1924.741223,2108.270598,2258.921103,2378.656131,2523.749999,2730.716886,2949.005327,3205.193908,3227.674917,3227.0757,3176.896008,3254.893759,3292.571599,3211.334058,3115.556272,3240.178834],
    [1160,"Africa","Liberia","LR","LBR",430,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, G, U",58.36522237,58.36522237,58.36522237,58.36522237,58.36522237,58.36522237,58.36522237,58.36522237,58.36522237,78.85259486,76.07454233,76.5335872,79.04236246,72.2403877,65.04740245,66.03272919,63.81802502,65.59815004,65.17456547,58.03574661,44.80003003,44.30050042,46.71272963,39.52996195,36.49908298,34.40375446,35.91871351,35.94261592,35.49669991,36.43715132,41.05196571,37.20565974],
    [1161,"Africa","Liberia","LR","LBR",430,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E, G, U",2.27385239,2.27385239,2.27385239,2.27385239,2.27385239,2.27385239,2.27385239,2.27385239,2.27385239,0.217904774,0.597429443,0.568267108,0.406950737,0.568672014,1.2509699,1.037583421,0.596204945,0.65842923,1.380214368,0.733831071,0.79797631,2.007474284,5.48970926,7.149458113,6.84816855,6.29029948,5.281570694,5.862563873,6.466958022,6.687505093,5.070313224,7.879022255],
    [1162,"Africa","Liberia","LR","LBR",430,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E, G, U",2.27385239,2.27385239,2.27385239,2.27385239,2.27385239,2.27385239,2.27385239,2.27385239,2.27385239,0.217904774,0.597429443,0.568267108,0.406950737,0.568672014,1.2509699,1.037583421,0.596204945,0.65842923,1.380214368,0.733831071,0.79797631,2.007474284,5.48970926,7.149458113,6.84816855,6.29029948,5.281570694,5.862563873,6.466958022,6.687505093,5.070313224,7.879022255],
    [1163,"Africa","Liberia","LR","LBR",430,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E, G, U",2.796986948,2.796986948,2.796986948,2.796986948,2.796986948,2.796986948,2.796986948,2.796986948,2.796986948,2.468969356,2.452974828,2.375816777,1.873074434,2.25552139,4.024637681,4.127260274,4.093556747,3.95002185,2.95900927,2.808246606,2.606441441,2.277035029,2.261040502,2.245045975,2.229051448,2.21305692,2.197062393,2.181067866,2.165073339,2.149078812,2.133084284,2.117089757],
    [1164,"Africa","Liberia","LR","LBR",430,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, G, U",32.01623351,32.01623351,32.01623351,32.01623351,32.01623351,32.01623351,32.01623351,32.01623351,32.01623351,18.02472146,19.68019451,19.3857947,17.8637109,23.79807487,27.17505017,26.72726027,30.2998034,28.47654042,27.72578216,36.95451357,50.1995996,47.4000417,34.55710209,36.77661774,40.72735993,44.51229018,46.03951201,44.2886246,42.93735268,41.35125459,41.60401033,37.04018374],
    [1165,"Africa","Liberia","LR","LBR",430,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E, G, U",2.27385239,2.27385239,2.27385239,2.27385239,2.27385239,2.27385239,2.27385239,2.27385239,2.27385239,0.217904774,0.597429443,0.568267108,0.406950737,0.568672014,1.2509699,1.037583421,0.596204945,0.65842923,1.380214368,0.733831071,0.79797631,2.007474284,5.48970926,7.149458113,6.84816855,6.29029948,5.281570694,5.862563873,6.466958022,6.687505093,5.070313224,7.879022255],
    [1166,"Africa","Liberia","LR","LBR",430,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",4.423388561,4.423388561,4.236013236,4.06386728,3.905166497,3.758394917,3.622256224,3.495635354,3.377567897,3.267215476,3.163845816,2.920274766,3.763017617,-30.14513273,2.619846895,5.281212453,8.043909972,9.535275363,7.145691128,5.300540503,6.09982524,8.200768225,7.993814446,8.687287816,0.7013931,-0.01856497,-1.554958617,2.45515592,1.157575122,-2.467297635,-2.98249215,4.000009998],
    [1167,"Africa","Liberia","LR","LBR",430,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3584.070398,7010.921212,null,null],
    [1168,"Africa","Liberia","LR","LBR",430,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.974437,1253.254545,null,null],
    [1169,"Africa","Liberia","LR","LBR",430,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,447.771,756.4,null,null],
    [1170,"Africa","Liberia","LR","LBR",430,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",0.100000002,0.100000002,0.100000002,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1171,"Africa","Liberia","LR","LBR",430,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [1172,"Africa","Liberia","LR","LBR",430,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [1173,"Africa","Liberia","LR","LBR",430,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [1174,"Africa","Liberia","LR","LBR",430,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [1175,"Africa","Liberia","LR","LBR",430,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1176,"Africa","Liberia","LR","LBR",430,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1177,"Africa","Liberia","LR","LBR",430,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1178,"Africa","Liberia","LR","LBR",430,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [1179,"Africa","Libya","LY","LBY",434,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",4.436663,4.544245,4.650896,4.755134,4.854871,4.948796,5.036173,5.118008,5.196774,5.275921,5.357893,5.443249,5.531097,5.620545,5.710163,5.798615,5.886874,5.974786,6.05874,6.133987,6.197667,6.247438,6.285751,6.32035,6.362039,6.418315,6.49216,6.580723,6.678565,6.777453,6.871287,6.958538],
    [1180,"Africa","Libya","LY","LBY",434,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",75.723,75.777,75.832,75.886,75.94,75.994,76.048,76.114,76.193,76.284,76.387,76.502,76.629,76.768,76.919,77.08,77.253,77.437,77.632,77.837,78.052,78.277,78.512,78.756,79.009,79.27,79.54,79.817,80.102,80.393,80.691,80.994],
    [1181,"Africa","Libya","LY","LBY",434,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",24.277,24.223,24.168,24.114,24.06,24.006,23.952,23.886,23.807,23.716,23.613,23.498,23.371,23.232,23.081,22.92,22.747,22.563,22.368,22.163,21.948,21.723,21.488,21.244,20.991,20.73,20.46,20.183,19.898,19.607,19.309,19.006],
    [1182,"Africa","Libya","LY","LBY",434,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",2.458096396,2.395907993,2.319829199,2.216498725,2.075765438,1.916178383,1.750215358,1.611883259,1.527274761,1.511521282,1.541753951,1.580532445,1.601004314,1.604246592,1.581893538,1.537152626,1.510603079,1.482315455,1.395357639,1.234308868,1.032798456,0.799852879,0.611386605,0.548926062,0.657433708,0.880669874,1.143967287,1.354932265,1.475852639,1.469822354,1.375005728,1.261796988],
    [1183,"Africa","Libya","LY","LBY",434,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",59379.66168,58952.67023,58525.67877,58098.68732,57671.69587,57244.70441,56817.71296,56390.7215,55963.73005,55536.7386,57580.08538,56565.04126,56022.64059,63314.56835,66139.43582,73990.68722,78800.47065,83709.7264,83574.07627,79896.665,83913.26823,41672.575,77855.51687,63843.11086,49131.86679,48717.85404,47991.49952,63584.80261,68634.30569,60950.21844,46364.96376,60910.77596],
    [1184,"Africa","Libya","LY","LBY",434,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",6.233717203,6.146349027,6.058980851,5.971612675,5.884244499,5.796876324,5.709508148,5.622139972,5.534771796,5.44740362,5.360035444,5.272667269,5.185299093,4.09220702,3.342622913,2.51001098,1.517644838,1.541416623,1.383652541,2.158067631,1.799530011,3.057668337,1.815593652,2.415485153,3.516678607,4.386297335,4.611779896,3.874776455,3.66012922,4.088789752,4.138534208,4.188278664],
    [1185,"Africa","Libya","LY","LBY",434,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E",18.28684002,17.97068609,17.65453216,17.33837823,17.0222243,16.70607037,16.38991644,16.07376251,15.75760858,15.44145465,15.12530072,14.80914679,14.49299286,13.92459445,14.25355715,14.7411522,24.10699016,23.11546752,23.80495023,19.72102111,20.69351301,10.93530507,19.27445915,15.01720874,8.025448158,6.342235716,4.63108931,9.750683899,13.01932319,12.41094433,12.28810348,12.16526262],
    [1186,"Africa","Libya","LY","LBY",434,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",18.28684002,17.97068609,17.65453216,17.33837823,17.0222243,16.70607037,16.38991644,16.07376251,15.75760858,15.44145465,15.12530072,14.80914679,14.49299286,13.92459445,14.25355715,14.7411522,24.10699016,23.11546752,23.80495023,19.72102111,20.69351301,10.93530507,19.27445915,15.01720874,8.025448158,6.342235716,4.63108931,9.750683899,13.01932319,12.41094433,12.28810348,12.16526262],
    [1187,"Africa","Libya","LY","LBY",434,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",3.381130962,3.359858797,3.338586633,3.317314468,3.296042303,3.274770138,3.253497974,3.232225809,3.210953644,3.18968148,3.168409315,3.14713715,3.125864985,5.92415229,5.686848278,5.056675063,4.669734894,4.595146767,4.559267079,5.038202389,3.958882247,3.709224729,2.311160445,2.963994181,4.565298689,4.140789519,3.655243371,2.806782515,2.801653516,2.913187829,2.728277132,2.543366436],
    [1188,"Africa","Libya","LY","LBY",434,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E, G, U",48.20985735,48.20985735,48.20985735,48.20985735,48.20985735,48.20985735,48.20985735,48.20985735,48.20985735,48.20985735,48.20985735,48.20985735,48.20985735,48.20985735,48.20985735,48.20985735,21.49164979,24.51703404,22.64222968,33.64066665,32.16104872,60.42719171,38.04986844,49.56889445,67.84167823,72.446206,77.8397088,64.06638933,54.4802477,55.76518942,56.26887822,56.77256703],
    [1189,"Africa","Libya","LY","LBY",434,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E",5.601614439,6.34256264,7.083510842,7.824459043,8.565407244,9.306355446,10.04730365,10.78825185,11.52920005,12.27014825,13.01109645,13.75204465,14.49299286,13.92459445,14.25355715,14.7411522,24.10699016,23.11546752,23.80495023,19.72102111,20.69351301,10.93530507,19.27445915,15.01720874,8.025448158,6.342235716,4.63108931,9.750683899,13.01932319,12.41094433,12.28810348,12.16526262],
    [1190,"Africa","Libya","LY","LBY",434,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",-0.719087044,-0.719087044,-0.724295358,-0.72957967,-0.734941655,-0.740383038,-0.745905597,-0.75151116,-0.757201615,-0.762978904,3.679270408,-1.762838871,-0.958897333,13.01603725,4.461638996,11.87075652,6.50052542,6.229982786,-0.162048239,-4.400181763,5.027247672,-50.33851514,86.82674844,-17.99796157,-23.04280583,-0.842656252,-1.490941117,32.49180219,7.941367853,-11.19569459,-23.92978245,31.37242223],
    [1191,"Africa","Libya","LY","LBY",434,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,26875.88333,53588.40476,null,null],
    [1192,"Africa","Libya","LY","LBY",434,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.229793,3191.714286,null,null],
    [1193,"Africa","Libya","LY","LBY",434,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1465.880573,1233.279813,1648.142373,null,null],
    [1194,"Africa","Libya","LY","LBY",434,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,8959.83,17589.4,null,null],
    [1195,"Africa","Libya","LY","LBY",434,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",null,null,null,null,null,null,null,null,null,null,null,0.26,0.25,0.28,0.28,0.32,0.29,0.46,0.37,7.53,5.72,2.13,3.67,4,3,null,null,null,null,null,null,null],
    [1196,"Africa","Libya","LY","LBY",434,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",10.30000019,9.399999619,3.799999952,0.300000012,0.300000012,0.400000006,0.300000012,0.300000012,0.300000012,0.300000012,0.328,0.256,0.248,0.283,0.283,0.3,0.324,0.288,0.464,0.365,7.528540059,5.72301943,2.128254767,3.672312,2.906666813,2.549432776,1.37789973,1.236961352,0.711155,0.758181,0.617193348,13.56005765],
    [1197,"Africa","Libya","LY","LBY",434,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.236961,null,0.758181,null,null],
    [1198,"Africa","Libya","LY","LBY",434,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","SESRIC (2022). Statistical Yearbook on OIC Member Countries 2021, Statistical, Economic and Social Research and Training Centre for Islamic Countries. Available at: https://www.sesric.org/files/article/808.pdf","A",null,null,null,null,null,null,null,null,null,null,0.33,null,null,null,null,0.3,null,null,null,null,8,null,null,null,null,3,1,1,1,1,1,null],
    [1199,"Africa","Libya","LY","LBY",434,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [1200,"Africa","Libya","LY","LBY",434,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [1201,"Africa","Libya","LY","LBY",434,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [1202,"Africa","Libya","LY","LBY",434,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [1203,"Africa","Libya","LY","LBY",434,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1204,"Africa","Libya","LY","LBY",434,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1205,"Africa","Libya","LY","LBY",434,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1206,"Africa","Libya","LY","LBY",434,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [1207,"Africa","Lesotho","LS","LSO",426,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",1.703757,1.742534,1.782284,1.822237,1.861323,1.898598,1.934294,1.968054,1.997524,2.019732,2.032805,2.035738,2.029832,2.018355,2.005953,1.996115,1.989933,1.986926,1.98713,1.990135,1.995575,2.003793,2.014988,2.028528,2.043448,2.059011,2.075041,2.091532,2.108327,2.125267,2.142252,2.159067],
    [1208,"Africa","Lesotho","LS","LSO",426,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",13.967,14.527,15.106,15.703,16.319,16.955,17.571,18.049,18.538,19.038,19.548,20.067,20.597,21.137,21.689,22.249,22.82,23.304,23.796,24.293,24.798,25.31,25.704,26.101,26.502,26.908,27.317,27.73,28.153,28.585,29.028,29.48],
    [1209,"Africa","Lesotho","LS","LSO",426,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",86.033,85.473,84.894,84.297,83.681,83.045,82.429,81.951,81.462,80.962,80.452,79.933,79.403,78.863,78.311,77.751,77.18,76.696,76.204,75.707,75.202,74.69,74.296,73.899,73.498,73.092,72.683,72.27,71.847,71.415,70.972,70.52],
    [1210,"Africa","Lesotho","LS","LSO",426,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",2.207179074,2.250456305,2.255531219,2.216917937,2.122265798,1.982819386,1.862668297,1.730283525,1.486317633,1.105641574,0.645178334,0.144179403,-0.290537571,-0.56702078,-0.616356365,-0.491646809,-0.310182163,-0.151224903,0.010266589,0.151108894,0.272975373,0.410965511,0.557135557,0.669716683,0.732817029,0.758719327,0.775514209,0.791589928,0.799793018,0.800269955,0.796017062,0.781857177],
    [1211,"Africa","Lesotho","LS","LSO",426,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",966.1324152,1033.439065,1105.328858,1144.123319,1212.540442,1252.444403,1322.544164,1371.525957,1392.615304,1399.244502,1453.472878,1505.239509,1516.134974,1585.267345,1612.096,1667.973222,1738.530072,1811.338223,1911.360831,1887.363416,1986.757271,2078.431262,2210.096177,2249.712846,2288.195174,2359.759799,2444.436584,2367.63361,2338.6742,2394.844036,2213.872052,2236.362132],
    [1212,"Africa","Lesotho","LS","LSO",426,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",12.16164968,7.324999864,9.077085406,8.330235572,8.262433407,8.780632296,7.689283279,7.003196532,8.322992802,8.784630254,7.827134815,8.298870587,6.395312833,6.346886124,5.984006756,5.671130405,4.842764809,5.392479304,5.512029958,6.152037497,4.862223727,4.543930319,4.8953086,5.064362952,3.960714536,3.781795521,5.45030313,4.964821378,4.32156306,4.338656144,4.742681751,4.902083537],
    [1213,"Africa","Lesotho","LS","LSO",426,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E",7.463856851,9.408509516,9.676883469,9.56402714,9.640212714,9.688568765,9.601852606,8.790012213,8.564397315,8.929264997,9.077719244,7.638862884,6.64691876,7.251613683,7.428908349,8.488596778,8.626618805,7.863073566,8.353857483,7.484172018,9.403018154,10.26045385,10.26702709,9.703828123,10.24015556,9.851144922,8.182450035,8.430675405,9.041746258,9.557009513,12.26728044,12.11976042],
    [1214,"Africa","Lesotho","LS","LSO",426,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",7.463856851,9.408509516,9.676883469,9.56402714,9.640212714,9.688568765,9.601852606,8.790012213,8.564397315,8.929264997,9.077719244,7.638862884,6.64691876,7.251613683,7.428908349,8.488596778,8.626618805,7.863073566,8.353857483,7.484172018,9.403018154,10.26045385,10.26702709,9.703828123,10.24015556,9.851144922,8.182450035,8.430675405,9.041746258,9.557009513,12.26728044,12.11976042],
    [1215,"Africa","Lesotho","LS","LSO",426,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",9.52392864,8.596050048,8.745362238,9.516256306,8.861841768,8.951490232,8.877780039,10.20186786,10.92299118,11.11939258,13.62089707,20.51351141,24.55781584,22.66208954,23.02816959,19.98529,21.82409656,22.24106881,21.22953531,17.50681627,13.08485044,12.78258673,11.45151125,10.93956711,12.25053835,15.13259694,16.66627627,15.24027453,16.90212468,16.80589213,14.7678197,15.39698677],
    [1216,"Africa","Lesotho","LS","LSO",426,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",55.92285112,55.85342154,53.14690195,53.4614267,53.95508669,53.20217118,54.62737886,56.42489897,55.06082407,53.30818218,51.31881038,48.27102936,49.10611505,49.23618328,48.70109861,48.87778926,47.45328221,48.77723119,48.19686228,53.88863017,53.84387138,51.89212139,52.85209889,54.88458557,53.06828044,51.53217278,53.3360705,54.50287787,51.65107349,50.18442319,43.68765722,43.34164842],
    [1217,"Africa","Lesotho","LS","LSO",426,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E",7.463856851,9.408509516,9.676883469,9.56402714,9.640212714,9.688568765,9.601852606,8.790012213,8.564397315,8.929264997,9.077719244,7.638862884,6.64691876,7.251613683,7.428908349,8.488596778,8.626618805,7.863073566,8.353857483,7.484172018,9.403018154,10.26045385,10.26702709,9.703828123,10.24015556,9.851144922,8.182450035,8.430675405,9.041746258,9.557009513,12.26728044,12.11976042],
    [1218,"Africa","Lesotho","LS","LSO",426,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",6.045473329,6.966607114,6.956364957,3.509766478,5.979873128,3.290938546,5.597035759,3.703603596,1.53765564,0.476025102,3.875546814,3.561582191,0.723835961,4.559776811,1.692374206,3.466122481,4.230094854,4.187914418,5.522028201,-1.255514626,5.266280653,4.614252238,6.334821701,1.792531445,1.710544004,3.127557724,3.588364597,-3.141949946,-1.223137311,2.401781154,-7.556733624,1.015870819],
    [1219,"Africa","Lesotho","LS","LSO",426,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3294.980839,7077,null,null],
    [1220,"Africa","Lesotho","LS","LSO",426,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,6.8e-05,91,null,null],
    [1221,"Africa","Lesotho","LS","LSO",426,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,21.2288,50.2,null,null],
    [1222,"Africa","Lesotho","LS","LSO",426,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",0.100000002,0.100000002,null,0.100000002,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1223,"Africa","Lesotho","LS","LSO",426,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [1224,"Africa","Lesotho","LS","LSO",426,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [1225,"Africa","Lesotho","LS","LSO",426,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [1226,"Africa","Lesotho","LS","LSO",426,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [1227,"Africa","Lesotho","LS","LSO",426,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1228,"Africa","Lesotho","LS","LSO",426,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1229,"Africa","Lesotho","LS","LSO",426,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1230,"Africa","Lesotho","LS","LSO",426,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [1231,"Africa","Morocco","MA","MAR",504,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",24.807461,25.260407,25.71141,26.155204,26.584473,26.994255,27.383472,27.754573,28.110447,28.455504,28.793672,29.126323,29.454765,29.782884,30.115196,30.455563,30.804689,31.16367,31.536807,31.929087,32.343384,32.78186,33.241898,33.715705,34.192358,34.663608,35.126274,35.581257,36.029089,36.471766,36.910558,37.344787],
    [1232,"Africa","Morocco","MA","MAR",504,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",48.391,49.117,49.844,50.569,51.295,51.692,52.022,52.35,52.678,53.007,53.335,53.662,53.99,54.317,54.644,55.174,55.746,56.317,56.886,57.452,58.018,58.581,59.142,59.7,60.256,60.809,61.36,61.908,62.453,62.994,63.532,64.065],
    [1233,"Africa","Morocco","MA","MAR",504,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",51.609,50.883,50.156,49.431,48.705,48.308,47.978,47.65,47.322,46.993,46.665,46.338,46.01,45.683,45.356,44.826,44.254,43.683,43.114,42.548,41.982,41.419,40.858,40.3,39.744,39.191,38.64,38.092,37.547,37.006,36.468,35.935],
    [1234,"Africa","Morocco","MA","MAR",504,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",1.838166675,1.809377452,1.769663302,1.71133142,1.62791471,1.529674203,1.431555412,1.34609997,1.27406672,1.220031747,1.18140367,1.148669497,1.121336092,1.107816942,1.109602877,1.123877555,1.139824824,1.158607462,1.190234661,1.236207263,1.289207437,1.346582673,1.393575462,1.415268431,1.403841627,1.3688207,1.325902165,1.286961299,1.250762951,1.221178705,1.195920777,1.169569544],
    [1235,"Africa","Morocco","MA","MAR",504,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",38537.25494,41318.13723,40451.39065,40151.81101,44403.08492,42002.89932,47199.86608,46463.21666,49826.48108,50365.27104,51328.6947,55085.93845,56805.41829,60191.68138,63079.08739,65155.42366,70090.707,72566.02631,76864.31356,80126.24849,83183.64011,87547.20207,90182.33894,94272.49056,96789.08898,101179.8081,102252.1687,106602.5929,109958.9783,112826.6375,105726.1716,113521.0743],
    [1236,"Africa","Morocco","MA","MAR",504,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",15.09517541,17.49943674,14.04275721,13.06940743,17.25950772,13.49264985,18.4399801,14.63418013,16.11248841,13.86554305,11.87727963,13.19196193,13.20052173,13.92310593,13.16090455,11.81602994,13.60248084,10.86312603,11.95912179,13.02861922,12.94352454,13.11998751,12.3295604,13.38956681,11.6606655,12.62806822,11.99669571,12.36250582,12.21673615,12.14592915,11.68228974,12.64626005],
    [1237,"Africa","Morocco","MA","MAR",504,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E",6.886765276,6.643285965,6.915948187,6.921649394,6.390190778,6.542569838,6.0753139,6.563378006,6.194489272,6.181011977,6.357942584,6.41932471,6.346164366,6.134114085,6.143315003,6.344634061,6.278276751,6.832785096,7.240162966,6.655372712,6.809886009,6.338876309,6.322624676,6.503415846,6.743457074,7.164397658,7.307364212,7.317219246,7.322271169,7.325632703,7.408270852,7.594840561],
    [1238,"Africa","Morocco","MA","MAR",504,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",6.886765276,6.643285965,6.915948187,6.921649394,6.390190778,6.542569838,6.0753139,6.563378006,6.194489272,6.181011977,6.357942584,6.41932471,6.346164366,6.134114085,6.143315003,6.344634061,6.278276751,6.832785096,7.240162966,6.655372712,6.809886009,6.338876309,6.322624676,6.503415846,6.743457074,7.164397658,7.307364212,7.317219246,7.322271169,7.325632703,7.408270852,7.594840561],
    [1239,"Africa","Morocco","MA","MAR",504,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",19.28359759,18.350084,18.86594312,19.06004047,18.07620124,18.87500531,18.29098532,19.05917734,18.01430162,18.41172727,18.49550868,16.84118047,16.85034729,17.5170022,17.78035076,16.84064841,16.15717519,15.11868176,15.09305274,15.49894921,15.59090724,15.49330124,15.23161859,15.5131342,16.49048603,16.13695025,15.67809449,15.69905319,15.67521875,14.89712927,15.27111455,15.43174732],
    [1240,"Africa","Morocco","MA","MAR",504,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",44.96093117,44.22062136,46.3434551,47.10560392,45.4937187,48.00463533,45.04309287,46.61650851,47.28974216,49.17969374,50.55338394,50.70888347,50.91063788,50.15754961,50.62879968,52.30941947,51.40551372,53.51983692,51.22733657,51.50631344,51.03591019,52.37008232,53.47094698,51.58705145,51.61847725,49.74178855,50.40311716,49.98678325,50.1412316,50.98004348,50.82178315,49.13747095],
    [1241,"Africa","Morocco","MA","MAR",504,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E",6.886765276,6.643285965,6.915948187,6.921649394,6.390190778,6.542569838,6.0753139,6.563378006,6.194489272,6.181011977,6.357942584,6.41932471,6.346164366,6.134114085,6.143315003,6.344634061,6.278276751,6.832785096,7.240162966,6.655372712,6.809886009,6.338876309,6.322624676,6.503415846,6.743457074,7.164397658,7.307364212,7.317219246,7.322271169,7.325632703,7.408270852,7.594840561],
    [1242,"Africa","Morocco","MA","MAR",504,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",3.411812226,7.216088161,-2.097738761,-0.740591692,10.5880004,-5.405447867,12.37287628,-1.560702356,7.23855269,1.081332562,1.912872981,7.319967454,3.121449656,5.961162155,4.797018362,3.291639684,7.574631645,3.531594152,5.923277686,4.243757321,3.815717917,5.245697297,3.009961262,4.5354242,2.669493927,4.536378168,1.05985639,4.254603273,3.148502656,2.607935495,-6.29325316,7.372727618],
    [1243,"Africa","Morocco","MA","MAR",504,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,104095.4405,137161.1143,null,null],
    [1244,"Africa","Morocco","MA","MAR",504,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,5507,5208,4923,4475,4803,2409,null],
    [1245,"Africa","Morocco","MA","MAR",504,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UIC (2023). International Railway Statistics, Traffic on the national Territory - PKm, VAR 5113, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,1956,2019,2145,2374,2644,2987,3333,3659,3820,4190,4398,4819,5114,5397,5449,5507,5208,4923,4475,4803,2409,4464],
    [1246,"Africa","Morocco","MA","MAR",504,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","The World Bank (2023). Railways, passengers carried (million passenger-km). Available at: https://data.worldbank.org/indicator/IS.RRS.PASG.KM","A",null,null,null,null,null,1564,1776,1856,1875,1880,1956,2019,2145,2374,2644,2987,3333,3659,3820,4190,4398,4819,5114,5397,5449,5507,5208,4923,4475,4803,2409,4464],
    [1247,"Africa","Morocco","MA","MAR",504,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,50.263957,10220.37143,null,null],
    [1248,"Africa","Morocco","MA","MAR",504,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,19268.38325,18080.82073,20431.79361,null,null],
    [1249,"Africa","Morocco","MA","MAR",504,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","Morocco Data Portal (2023). Dataset Browser. Available at: https://morocco.opendataforafrica.org/data/#menu=topic","A",null,null,null,null,null,null,null,null,null,null,null,null,null,1211,1251,1256,1175,697,794,800,null,null,null,null,null,null,null,null,null,null,null,null],
    [1250,"Africa","Morocco","MA","MAR",504,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,22392.4,24832.8,null,null],
    [1251,"Africa","Morocco","MA","MAR",504,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,4738,3808,3896,3485,3125,3112,null],
    [1252,"Africa","Morocco","MA","MAR",504,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","Morocco Data Portal (2023). Dataset Browser. Available at: https://morocco.opendataforafrica.org/data/#menu=topic","A",null,null,null,null,null,null,null,null,null,null,null,4652,4974,5147,5564,5919,5827,null,null,null,null,null,5976,null,null,null,null,null,null,null,null,null],
    [1253,"Africa","Morocco","MA","MAR",504,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UIC (2023). International Railway Statistics, Global Traffic -Domestic traffic in millions of tonne kilometres, VAR 6757, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,5146,3413,3605,3647,3650,4959,4111,5572,null,null,null,null,null,null,3896,3485,3125,3111,3148],
    [1254,"Africa","Morocco","MA","MAR",504,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2737.681009,2677.6,null,null],
    [1255,"Africa","Morocco","MA","MAR",504,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","The World Bank (2023). Railways, goods transported (million ton-km). Available at: https://data.worldbank.org/indicator/IS.RRS.GOOD.MT.K6","A",null,null,null,null,null,null,null,null,null,null,4576,4622,4943,5110,5524,5825,5744,5837,4959,4111,5572,5976,null,null,5383,4749,null,3896,null,null,null,null],
    [1256,"Africa","Morocco","MA","MAR",504,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",31.5,55.90000153,56.59999847,53.29999924,49.29999924,57.70000076,57,53.90000153,58,57.79999924,62.545,62.97,51.185,52.553,61.898,60.764,50.626,44.809,55.478,62.807,64.571,40.98431707,38.84086358,43.321464,47.000251,52.913598,53.82625368,77.93581,97.71152,102.19214,46.244684,58.894368],
    [1257,"Africa","Morocco","MA","MAR",504,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,77.93581,97.71152,102.19214,null,null],
    [1258,"Africa","Morocco","MA","MAR",504,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","SESRIC (2022). Statistical Yearbook on OIC Member Countries 2021, Statistical, Economic and Social Research and Training Centre for Islamic Countries. Available at: https://www.sesric.org/files/article/808.pdf","A",null,null,null,null,null,null,null,null,null,null,63,null,null,null,null,61,null,null,null,null,65,null,null,null,null,53,54,78,98,102,46,null],
    [1259,"Africa","Morocco","MA","MAR",504,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","Morocco Data Portal (2023). Dataset Browser. Available at: https://morocco.opendataforafrica.org/data/#menu=topic","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,38.98,null,null,null,null,null,null,null,null],
    [1260,"Africa","Morocco","MA","MAR",504,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3479491,3678892,3751118,4026649,4424148,4600793,null],
    [1261,"Africa","Morocco","MA","MAR",504,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,43220,55517,130257,191611,236415,266035,null],
    [1262,"Africa","Morocco","MA","MAR",504,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2531753,2670614,2808782,2950056,3090063,3194307,null],
    [1263,"Africa","Morocco","MA","MAR",504,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,12124,13329,10616,11594,14940,15323,null],
    [1264,"Africa","Morocco","MA","MAR",504,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,676651,708600,604695,662266,822430,854849,null],
    [1265,"Africa","Morocco","MA","MAR",504,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,215743,230832,196768,211122,260300,270279,null],
    [1266,"Africa","Morocco","MA","MAR",504,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [1267,"Africa","Morocco","MA","MAR",504,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [1268,"Africa","Morocco","MA","MAR",504,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [1269,"Africa","Morocco","MA","MAR",504,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [1270,"Africa","Morocco","MA","MAR",504,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1271,"Africa","Morocco","MA","MAR",504,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1272,"Africa","Morocco","MA","MAR",504,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1273,"Africa","Morocco","MA","MAR",504,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [1274,"Africa","Mali","ML","MLI",466,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",8.449915,8.635528,8.850334,9.087173,9.334893,9.58566,9.837575,10.094363,10.360564,10.642937,10.946448,11.271603,11.61689,11.982692,12.369078,12.775509,13.203378,13.651455,14.113578,14.581427,15.049352,15.514593,15.979492,16.449854,16.934213,17.438772,17.965448,18.512429,19.077755,19.658023,20.250834,20.855724],
    [1275,"Africa","Mali","ML","MLI",466,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",23.322,23.751,24.186,24.624,25.069,25.519,25.975,26.434,26.948,27.646,28.356,29.075,29.806,30.547,31.3,32.06,32.832,33.612,34.403,35.2,35.999,36.799,37.599,38.398,39.196,39.991,40.783,41.572,42.356,43.136,43.909,44.677],
    [1276,"Africa","Mali","ML","MLI",466,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",76.678,76.249,75.814,75.376,74.931,74.481,74.025,73.566,73.052,72.354,71.644,70.925,70.194,69.453,68.7,67.94,67.168,66.388,65.597,64.8,64.001,63.201,62.401,61.602,60.804,60.009,59.217,58.428,57.644,56.864,56.091,55.323],
    [1277,"Africa","Mali","ML","MLI",466,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",1.827214108,2.172847408,2.457034219,2.64086603,2.689545597,2.650891703,2.594100589,2.576791163,2.602952627,2.688980415,2.811854042,2.927153388,3.017351964,3.100320169,3.173637317,3.233033028,3.29427272,3.337340341,3.329120338,3.261128285,3.15863382,3.044613109,2.952508522,2.90104517,2.901941159,2.935998977,2.975435448,2.999198671,3.008065228,2.996255353,2.971042774,2.943246505],
    [1278,"Africa","Mali","ML","MLI",466,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",4198.817501,4691.977173,4540.958264,4685.005097,4862.0952,4906.876185,5253.094839,5506.768067,5923.722243,6261.430311,6257.621171,7219.807987,7444.077478,8122.906029,8249.623255,8788.717884,9198.464336,9519.823433,9974.218417,10453.6115,11009.10965,11362.84707,11267.77019,11526.37321,12342.98032,13104.76438,13871.6944,14607.65105,15301.00092,16028.74113,15830.71398,16316.69632],
    [1279,"Africa","Mali","ML","MLI",466,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",37.41767939,39.27466439,36.99633281,39.04665068,36.83569363,37.70895366,36.87920679,35.96217165,34.56067086,35.55571603,32.90186772,32.81360596,32.71418375,29.87662985,30.01550987,32.37848184,29.79050883,31.35287468,32.97032081,31.73570631,33.01683003,34.55863058,38.11410248,36.75281627,37.45676774,37.72325687,37.403703,37.43243963,37.61244316,37.30779732,36.18804497,36.00032306],
    [1280,"Africa","Mali","ML","MLI",466,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E",4.759289977,4.795354515,4.701766242,4.788029895,5.090492317,5.547687558,6.047434234,6.756161089,6.929203952,6.670062223,7.583590839,8.081446495,8.314543376,8.606448385,8.804107624,8.606788087,9.650676199,8.808557941,8.015424299,8.865607296,8.261020468,7.554197096,7.300698743,6.507133946,6.083602515,6.194852917,7.148460974,7.20543483,7.383133161,7.52742465,7.533021614,7.383134931],
    [1281,"Africa","Mali","ML","MLI",466,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",4.759289977,4.795354515,4.701766242,4.788029895,5.090492317,5.547687558,6.047434234,6.756161089,6.929203952,6.670062223,7.583590839,8.081446495,8.314543376,8.606448385,8.804107624,8.606788087,9.650676199,8.808557941,8.015424299,8.865607296,8.261020468,7.554197096,7.300698743,6.507133946,6.083602515,6.194852917,7.148460974,7.20543483,7.383133161,7.52742465,7.533021614,7.383134931],
    [1282,"Africa","Mali","ML","MLI",466,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",7.233862415,7.218947856,7.204033298,7.189118739,7.17420418,7.159289621,7.144375062,7.129460503,7.114545944,7.099631385,7.084716827,7.069802268,7.054887709,7.03997315,7.025058591,7.010144032,6.666210253,6.27134851,6.247367513,7.456549552,6.746891957,6.050821295,5.765085732,5.452973446,6.981283678,6.426121851,5.508177117,6.064296886,6.289779689,6.612924733,6.786425649,6.709440595],
    [1283,"Africa","Mali","ML","MLI",466,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",41.07058827,39.12032421,41.69433517,39.40014089,40.71862524,38.48869404,37.83411544,36.63988458,37.53717133,37.33446591,37.26264293,35.87225229,35.28729842,37.26405184,36.54710867,34.79100986,34.59125232,35.95010299,36.73603878,34.21092225,35.45321661,36.72795684,34.21871556,38.27280844,37.31114104,37.26606253,35.64273696,34.886959,33.94837767,33.497004,34.42646454,35.14083155],
    [1284,"Africa","Mali","ML","MLI",466,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E",4.759289977,4.795354515,4.701766242,4.788029895,5.090492317,5.547687558,6.047434234,6.756161089,6.929203952,6.670062223,7.583590839,8.081446495,8.314543376,8.606448385,8.804107624,8.606788087,9.650676199,8.808557941,8.015424299,8.865607296,8.261020468,7.554197096,7.300698743,6.507133946,6.083602515,6.194852917,7.148460974,7.20543483,7.383133161,7.52742465,7.533021614,7.383134931],
    [1285,"Africa","Mali","ML","MLI",466,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",-2.502395103,11.74520379,-3.21866249,3.172168177,3.779934051,0.921022398,7.055785404,4.829024339,7.57166764,5.700943654,-0.060834972,15.37623946,3.106308252,9.119041995,1.559998661,6.534778775,4.662186878,3.493616813,4.773145081,4.806322267,5.313935279,3.21313378,-0.836734632,2.29506829,7.084683881,6.171800024,5.852299199,5.305456084,4.746484327,4.756160808,-1.235450447,3.069870047],
    [1286,"Africa","Mali","ML","MLI",466,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,11143.70077,18716.18182,null,null],
    [1287,"Africa","Mali","ML","MLI",466,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","The World Bank (2023). Railways, passengers carried (million passenger-km). Available at: https://data.worldbank.org/indicator/IS.RRS.PASG.KM","A",null,null,null,null,null,254.241533,189.109126,223.188014,218.1996885,210.4,201.4,208,196.3,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1288,"Africa","Mali","ML","MLI",466,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,13.18794,130.7090909,null,null],
    [1289,"Africa","Mali","ML","MLI",466,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UIC (2023). International Railway Statistics, Traffic on the national Territory - PKm, VAR 5113, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,201.4,208,196.3,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1290,"Africa","Mali","ML","MLI",466,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,14.673,4.306,513.909,null,null,null,null],
    [1291,"Africa","Mali","ML","MLI",466,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2138.21,2141.4,null,null],
    [1292,"Africa","Mali","ML","MLI",466,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","The World Bank (2023). Railways, goods transported (million ton-km). Available at: https://data.worldbank.org/indicator/IS.RRS.GOOD.MT.K6","A",null,null,null,null,null,null,null,null,null,null,188,161,189,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1293,"Africa","Mali","ML","MLI",466,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","Mali Data Portal (2023). Dataset Browser. Available at: https://mali.opendataforafrica.org/data/#menu=topic","A",null,null,null,null,null,null,null,null,null,null,279,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1294,"Africa","Mali","ML","MLI",466,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,341.331351,569.8,null,null],
    [1295,"Africa","Mali","ML","MLI",466,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",null,null,15.19999981,14.19999981,14.39999962,15.30000019,16.39999962,15.30000019,13.5,13.69999981,12.273,7.364,null,null,null,null,null,null,null,null,8.328779694,9.115513896,5.448709445,1.19358,0,null,null,null,null,null,null,null],
    [1296,"Africa","Mali","ML","MLI",466,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","SESRIC (2022). Statistical Yearbook on OIC Member Countries 2021, Statistical, Economic and Social Research and Training Centre for Islamic Countries. Available at: https://www.sesric.org/files/article/808.pdf","A",null,null,null,null,null,null,null,null,null,null,12,null,null,null,null,null,null,null,null,null,8,null,null,null,null,null,null,null,null,null,null,null],
    [1297,"Africa","Mali","ML","MLI",466,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,592.311129,170.6,null,null],
    [1298,"Africa","Mali","ML","MLI",466,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [1299,"Africa","Mali","ML","MLI",466,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [1300,"Africa","Mali","ML","MLI",466,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [1301,"Africa","Mali","ML","MLI",466,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [1302,"Africa","Mali","ML","MLI",466,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1303,"Africa","Mali","ML","MLI",466,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1304,"Africa","Mali","ML","MLI",466,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1305,"Africa","Mali","ML","MLI",466,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [1306,"Asia","Myanmar","MM","MMR",104,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",41.335188,41.890192,42.401686,42.889992,43.383421,43.901598,44.452203,45.027223,45.61122,46.181075,46.719698,47.225119,47.702163,48.148907,48.564489,48.949931,49.301049,49.621479,49.929642,50.250366,50.600827,50.990612,51.413703,51.852464,52.280816,52.680724,53.045199,53.382521,53.708318,54.045422,54.409794,54.806014],
    [1307,"Asia","Myanmar","MM","MMR",104,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",25.243,25.418,25.593,25.769,25.946,26.124,26.303,26.482,26.663,26.843,27.025,27.208,27.391,27.575,27.76,27.946,28.132,28.319,28.507,28.695,28.885,29.075,29.266,29.457,29.65,29.858,30.082,30.322,30.579,30.852,31.141,31.448],
    [1308,"Asia","Myanmar","MM","MMR",104,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",74.757,74.582,74.407,74.231,74.054,73.876,73.697,73.518,73.337,73.157,72.975,72.792,72.609,72.425,72.24,72.054,71.868,71.681,71.493,71.305,71.115,70.925,70.734,70.543,70.35,70.142,69.918,69.678,69.421,69.148,68.859,68.552],
    [1309,"Asia","Myanmar","MM","MMR",104,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",1.471389564,1.333757148,1.213640722,1.145038641,1.143885151,1.187335681,1.246380171,1.285274038,1.288647647,1.241634325,1.159579233,1.076005878,1.005080954,0.932169531,0.859414673,0.790537456,0.714739934,0.647842564,0.61910701,0.640297605,0.695008954,0.767361732,0.826319491,0.849772298,0.822704165,0.762012324,0.68947413,0.633900885,0.608451681,0.625695405,0.671933328,0.725575804],
    [1310,"Asia","Myanmar","MM","MMR",104,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",7619.405653,7700.101079,8045.707476,8670.596516,9258.442809,9925.370608,10589.07025,11228.09991,11875.04587,12881.81631,14481.50495,16287.01989,18193.09726,20555.71198,23370.8758,26541.58896,30073.44352,33832.7702,37579.50173,41491.46939,45669.36414,49103.72646,52288.47337,56418.56705,61044.69985,63045.30523,69669.9677,73676.03577,78394.96916,83686.99031,86343.02659,70814.45573],
    [1311,"Asia","Myanmar","MM","MMR",104,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",36.22363712,36.22363712,36.22363712,36.22363712,36.22363712,36.22363712,36.22363712,36.22363712,36.22363712,36.22363712,36.22363712,57.14009071,55.51115763,52.26817177,49.29324203,47.3152234,45.08621267,43.57277272,41.62798873,39.1116132,37.43048956,34.50935341,31.49482836,30.02932025,28.63165633,27.27221848,26.73441801,24.91762469,23.0027856,21.35405077,20.93377792,23.45938325],
    [1312,"Asia","Myanmar","MM","MMR",104,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E",2.599521398,2.599521398,2.599521398,2.599521398,2.599521398,2.599521398,2.599521398,2.599521398,2.599521398,2.599521398,2.599521398,0,0,0,0.636882359,0.843602545,1.238620456,1.456812915,1.675622545,2.057205745,2.17860253,3.092159504,3.981175281,4.122868038,4.521586122,4.695186598,4.199651303,4.158937709,4.172777923,4.400151435,4.295253746,2.862852609],
    [1313,"Asia","Myanmar","MM","MMR",104,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",2.599521398,2.599521398,2.599521398,2.599521398,2.599521398,2.599521398,2.599521398,2.599521398,2.599521398,2.599521398,2.599521398,0,0,0,0.636882359,0.843602545,1.238620456,1.456812915,1.675622545,2.057205745,2.17860253,3.092159504,3.981175281,4.122868038,4.521586122,4.695186598,4.199651303,4.158937709,4.172777923,4.400151435,4.295253746,2.862852609],
    [1314,"Asia","Myanmar","MM","MMR",104,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",17.85340976,17.85340976,17.85340976,17.85340976,17.85340976,17.85340976,17.85340976,17.85340976,17.85340976,17.85340976,17.85340976,7.550839919,8.655569417,9.537087486,10.7637295,12.28394693,13.49026329,14.51148521,15.96219966,17.49618494,19.04152627,19.78635737,19.91624789,19.99868236,19.92377256,20.393144,21.3135185,22.99234664,24.22443595,24.76031656,25.69342236,26.62652816],
    [1315,"Asia","Myanmar","MM","MMR",104,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",38.67205931,38.67205931,38.67205931,38.67205931,38.67205931,38.67205931,38.67205931,38.67205931,38.67205931,38.67205931,38.12438892,35.30906937,35.83327295,38.19474074,38.03238139,37.87002203,37.70766268,37.54530332,37.38294397,37.22058462,36.99217658,36.42781071,36.64539791,37.60339328,37.87981274,38.24907773,39.35310958,39.61321554,40.25444468,40.68517837,40.48703848,41.32553076],
    [1316,"Asia","Myanmar","MM","MMR",104,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E",2.051851018,2.051851018,2.051851018,2.051851018,2.051851018,2.051851018,2.051851018,2.051851018,2.051851018,2.051851018,2.599521398,0,0,0,0.636882359,0.843602545,1.238620456,1.456812915,1.675622545,2.057205745,2.17860253,3.092159504,3.981175281,4.122868038,4.521586122,4.695186598,4.199651303,4.158937709,4.172777923,4.400151435,4.295253746,2.862852609],
    [1317,"Asia","Myanmar","MM","MMR",104,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",3.248148014,1.059077705,4.488335846,7.766738256,6.779767595,7.203455396,6.686900342,6.034804228,5.761847221,8.478034119,12.41819164,12.46773004,11.70304562,12.98632489,13.69528734,13.56694201,13.30686931,12.50048629,11.07426765,10.4098444,10.06928609,7.520057227,6.485754004,7.898669478,8.19966375,3.277279417,10.50778078,5.7500645,6.404977325,6.750460146,3.1737744,-17.98474234],
    [1318,"Asia","Myanmar","MM","MMR",104,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,41170,40840,111288,25837,51747,28582,null,null],
    [1319,"Asia","Myanmar","MM","MMR",104,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,48134.70255,null,null,null],
    [1320,"Asia","Myanmar","MM","MMR",104,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,40840,111288,25837,51747,28582,6,null],
    [1321,"Asia","Myanmar","MM","MMR",104,"Passenger activity","Road","Bus","All","All","ROAD_PA_BUS","million passenger-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,1525,null,null,null,null,2568,null,null,null,null,1356,null,null,2183,2195,2259,2298,2407,2464,2462,2121,2128.97,2126.47,1732.78,777.282,726.625,709.112,702.054,292.02,null,null],
    [1322,"Asia","Myanmar","MM","MMR",104,"Passenger activity","Road","Private","All","All","ROAD_PA_PRIVAT","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,32738,null,null,null,null,null,null,null],
    [1323,"Asia","Myanmar","MM","MMR",104,"Passenger activity","Road","Public","All","All","ROAD_PA_PUBLIC","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,40840,111288,25837,51747,28582,6,null],
    [1324,"Asia","Myanmar","MM","MMR",104,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,3930.7,null,null,null,null,4535.23,null,null,null,null,4446.98,null,null,4311.37,4191.3,4777.78,5306.93,5436.97,5389.44,5371.44,5357.04,4977.22,3807.5,3583.7,3416.22,3133.35,3163.8,3214.91,1444.23,null,null],
    [1325,"Asia","Myanmar","MM","MMR",104,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,29067.48735,null,null,null],
    [1326,"Asia","Myanmar","MM","MMR",104,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UIC (2023). International Railway Statistics, Traffic on the national Territory - PKm, VAR 5113, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,4451,4447,4804,4284,4163,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1327,"Asia","Myanmar","MM","MMR",104,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3164,3112,3200,3073,2935,1024,null],
    [1328,"Asia","Myanmar","MM","MMR",104,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","The World Bank (2023). Railways, passengers carried (million passenger-km). Available at: https://data.worldbank.org/indicator/IS.RRS.PASG.KM","A",null,null,null,null,null,4178,4294,3784,3948,4112,4451,4447,4804,4284,4163,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1329,"Asia","Myanmar","MM","MMR",104,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1711.204184,1697.493389,null,null,null],
    [1330,"Asia","Myanmar","MM","MMR",104,"Passenger activity","Inland waterways","All","All","All","IWW_PA_NAT","million passenger-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",776,null,null,null,null,863,null,null,null,null,736,null,null,774,831,947.6,1054,1160,1261,1320,1452,855,338.1,235.2,155.5,87.77,72.2,66.13,29.93,null,null,null],
    [1331,"Asia","Myanmar","MM","MMR",104,"Passenger activity","All","All","All","All","TRAN_PA_NAT","million passenger-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,44753,44256,114421,29000,54962,30026,null,null],
    [1332,"Asia","Myanmar","MM","MMR",104,"Passenger activity","All","All","All","All","TRAN_PA_NAT","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,44004,114400,29037,54820,31517,1030,null],
    [1333,"Asia","Myanmar","MM","MMR",104,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,378.79,397.47,436.26,454.78,489.64,506.8,507.93,508.2,514.3,512.13,495.42,419.41,326.78,295.35,317.19,158.44,null,null],
    [1334,"Asia","Myanmar","MM","MMR",104,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,12757.24,null,null,null],
    [1335,"Asia","Myanmar","MM","MMR",104,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,419,327,295,317,158,2,null],
    [1336,"Asia","Myanmar","MM","MMR",104,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,964.767,876.434,917.523,886.864,861.707,917.113,1059.351,1123.075,1161.723,968.671,828.826,812.327,765.434,703.55,677.851,362.821,null,null],
    [1337,"Asia","Myanmar","MM","MMR",104,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3991.449,null,null,null],
    [1338,"Asia","Myanmar","MM","MMR",104,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,772,706,680,729,753,776,null],
    [1339,"Asia","Myanmar","MM","MMR",104,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","The World Bank (2023). Railways, goods transported (million ton-km). Available at: https://data.worldbank.org/indicator/IS.RRS.GOOD.MT.K6","A",1.100000024,1.100000024,1.100000024,1.100000024,1.100000024,1.200000048,1.200000048,7.599999905,6.599999905,6.199999809,0.774,0.882,1.988,2.078,2.463,2.722,2.788,2.867,2.83,2.614,2.06226,3.53038,3.829875041,2.861556,3.90162,3.3857879,5.065285902,4.833935501,4.742165598,8.30683,1.242318,18.36186366],
    [1340,"Asia","Myanmar","MM","MMR",104,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.26,1.71,1.49,1.12,1.14,0.9,1.28,2.55,4.1,4.68,5.18,5.05,16.15,19.59,14.88,5.06,null,null],
    [1341,"Asia","Myanmar","MM","MMR",104,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,4.833936,4.74216,null,null,null],
    [1342,"Asia","Myanmar","MM","MMR",104,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",1.100000024,1.100000024,1.100000024,1.100000024,1.100000024,1.200000048,1.200000048,7.599999905,6.599999905,6.199999809,0.774,0.882,1.988,2.078,2.463,2.722,2.788,2.867,2.83,2.614,2.06226,3.53038,3.829875041,2.861556,3.90162,3.3857879,5.065285902,4.833935501,4.742165598,8.30683,1.242318,18.36186366],
    [1343,"Asia","Myanmar","MM","MMR",104,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,687.44,729.61,732.53,836.83,936.38,1029.08,1105.95,1212.94,836.66,534.31,455.63,454.4,302.24,177.34,102.54,49.65,null,null],
    [1344,"Asia","Myanmar","MM","MMR",104,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,4913.668,null,null,null],
    [1345,"Asia","Myanmar","MM","MMR",104,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT",null,"IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,327,209,111,103,103,98,null],
    [1346,"Asia","Myanmar","MM","MMR",104,"Freight activity","All","All","All","All","TRAN_GO_NAT","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1518,1242,1086,1149,1014,876,null],
    [1347,"Asia","Myanmar","MM","MMR",104,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,483050,964269,979288,996756,1032842,1998960,2147404,2308521,2363747,3699109,4237682,5077699,5541361,6337002,6853995,7092843,null,null],
    [1348,"Asia","Myanmar","MM","MMR",104,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,5217216,5934481,6560412,6971426,7190192,7468059,null],
    [1349,"Asia","Myanmar","MM","MMR",104,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,175462,639851,698828,650824,664640,1619091,1757959,1927781,1992813,3254249,3631121,4319298,4705379,5355510,5788099,5990335,null,null],
    [1350,"Asia","Myanmar","MM","MMR",104,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,4504814,5122701,5640067,5997519,6183193,6450017,null],
    [1351,"Asia","Myanmar","MM","MMR",104,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,448352,489158,529228,542733,563934,580589,null],
    [1352,"Asia","Myanmar","MM","MMR",104,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,17779,17973,18038,18857,19291,19683,19807,20944,19579,19812,22151,26746,25937,26801,28010,27552,null,null],
    [1353,"Asia","Myanmar","MM","MMR",104,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,25397,26853,26733,27781,30643,29319,null],
    [1354,"Asia","Myanmar","MM","MMR",104,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,183329,186908,193940,202068,217018,233227,245921,265642,249561,292919,382774,429493,462199,512144,530728,536647,null,null],
    [1355,"Asia","Myanmar","MM","MMR",104,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,180622,236049,303288,348474,358810,357238,null],
    [1356,"Asia","Myanmar","MM","MMR",104,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,52149,52748,54801,55382,57211,58857,61132,64888,67750,74546,124596,193559,250530,322533,374287,399474,null,null],
    [1357,"Asia","Myanmar","MM","MMR",104,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,58031,59720,61096,54919,53612,50896,null],
    [1358,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Energy intensity","Road","Motorcycle","All","All","NRG_EIP_MOTORC","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.5,null,null,null],
    [1359,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Energy intensity","Road","Car","All","All","NRG_EIP_CAR","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.8,null,null,null],
    [1360,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Energy intensity","Road","Minibus ","All","All","NRG_EIP_MINIBU","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I, W",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.7,null,null,null],
    [1361,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Energy intensity","Road","Bus","All","All","NRG_EIP_BUS","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I, W",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.7,null,null,null],
    [1362,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Energy intensity","Road","Light-duty vehicle","All","All","NRG_EIP_LDV","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.7,null,null,null],
    [1363,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Energy intensity","Rail","All","All","All","NRG_EIP_RAIL","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.2,null,null,null],
    [1364,"Asia","Lao People's Democratic Republic","LA","LAO",418,"Energy intensity","Aviation","All","All","All","NRG_EIP_AVI","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.8,null,null,null],
    [1365,"Africa","Mozambique","MZ","MOZ",508,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",12.987292,13.328029,13.805999,14.37095,14.94805,15.483277,15.960445,16.397175,16.813946,17.244176,17.711925,18.221884,18.764147,19.331097,19.910549,20.493927,21.080108,21.673319,22.276596,22.894718,23.531567,24.1875,24.862673,25.560752,26.286192,27.042001,27.82993,28.649007,29.496009,30.366043,31.255435,32.163045],
    [1366,"Africa","Mozambique","MZ","MOZ",508,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",25,25.487,25.98,26.479,26.984,27.495,28.013,28.535,28.742,28.92,29.098,29.277,29.457,29.637,29.818,29.999,30.182,30.364,30.832,31.328,31.83,32.336,32.846,33.36,33.878,34.4,34.926,35.455,35.988,36.528,37.074,37.628],
    [1367,"Africa","Mozambique","MZ","MOZ",508,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",75,74.513,74.02,73.521,73.016,72.505,71.987,71.465,71.258,71.08,70.902,70.723,70.543,70.363,70.182,70.001,69.818,69.636,69.168,68.672,68.17,67.664,67.154,66.64,66.122,65.6,65.074,64.545,64.012,63.472,62.926,62.372],
    [1368,"Africa","Mozambique","MZ","MOZ",508,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",1.406143423,2.589792039,3.523394656,4.010560001,3.937204869,3.517968172,3.035293557,2.699559006,2.50995972,2.526580218,2.676367826,2.83851478,2.932468525,2.976706819,2.953464901,2.887890657,2.820124865,2.775211787,2.745465575,2.736960831,2.743656742,2.749317443,2.753163164,2.769044762,2.798573225,2.834746761,2.872081035,2.900672261,2.913618318,2.907001146,2.886830354,2.86248416],
    [1369,"Africa","Mozambique","MZ","MOZ",508,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",2859.67977,3000.531903,2816.757862,3115.29278,3318.827208,3393.824644,3774.018515,4200.522939,4617.687455,5157.888717,5218.767318,5849.553169,6393.038189,6832.785422,7373.696583,7863.745695,8626.08662,9292.861226,9972.890074,10602.99694,11292.44124,12130.04501,13010.49695,13916.49685,14946.11065,15950.97933,16560.97897,17180.57779,17772.2449,18183.60235,17959.23385,18358.79434],
    [1370,"Africa","Mozambique","MZ","MOZ",508,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",35.13937113,34.43706698,30.12613908,33.43927803,30.52225026,31.64925725,30.93726224,30.26429777,27.22315221,22.93655129,19.09520491,18.24848986,22.79995592,22.70563355,22.38418555,22.76743048,23.9025048,23.76611914,26.41548795,27.47564948,26.84576597,25.75152927,24.91451109,23.50395072,23.93493466,22.9161876,22.85457446,25.04368115,24.56767288,24.21143333,25.57742107,25.76475378],
    [1371,"Africa","Mozambique","MZ","MOZ",508,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E",0.945690231,1.213447782,1.645264883,1.528822792,1.585896968,1.756362914,3.983366334,3.726092493,4.016248886,6.79708217,7.401746987,6.418475231,4.982824366,5.307627524,5.352993713,5.325333684,5.229811051,5.018370179,4.959008244,5.196487279,5.405388236,5.676540294,6.130555045,6.550726462,6.69443956,7.151254269,7.77849064,8.6026517,8.905020583,8.656795376,8.27410235,8.470686928],
    [1372,"Africa","Mozambique","MZ","MOZ",508,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",0.945690231,1.213447782,1.645264883,1.528822792,1.585896968,1.756362914,3.983366334,3.726092493,4.016248886,6.79708217,7.401746987,6.418475231,4.982824366,5.307627524,5.352993713,5.325333684,5.229811051,5.018370179,4.959008244,5.196487279,5.405388236,5.676540294,6.130555045,6.550726462,6.69443956,7.151254269,7.77849064,8.6026517,8.905020583,8.656795376,8.27410235,8.470686928],
    [1373,"Africa","Mozambique","MZ","MOZ",508,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",14.52859382,14.51109635,15.02665914,11.12509863,12.35989346,10.50878938,11.68909827,12.78503776,14.54370126,13.35921805,12.76338826,14.47207436,12.30548142,14.13449448,14.88949592,13.45604111,14.24863421,13.69314799,11.78264659,10.48749629,9.979252577,9.80876486,8.649883399,8.187376209,8.025907722,8.192260008,8.47913418,8.201034639,8.716148342,8.832160852,8.119068752,7.763270594],
    [1374,"Africa","Mozambique","MZ","MOZ",508,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",47.49496436,47.41149332,49.91140713,50.84915496,52.36016538,52.57286463,45.42354049,45.772387,46.18439988,43.31298415,45.93616587,48.02401008,49.94608957,47.2369894,46.66733739,47.80052736,46.15942784,47.48562234,46.92484072,46.44739239,46.95881675,47.41008499,48.04394038,48.65649369,47.95583894,47.43778958,45.33081944,40.94732911,40.00111703,40.98601969,41.48120313,41.05991485],
    [1375,"Africa","Mozambique","MZ","MOZ",508,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E",0.945690231,1.213447782,1.645264883,1.528822792,1.585896968,1.756362914,3.983366334,3.726092493,4.016248886,6.79708217,7.401746987,6.418475231,4.982824366,5.307627524,5.352993713,5.325333684,5.229811051,5.018370179,4.959008244,5.196487279,5.405388236,5.676540294,6.130555045,6.550726462,6.69443956,7.151254269,7.77849064,8.6026517,8.905020583,8.656795376,8.27410235,8.470686928],
    [1376,"Africa","Mozambique","MZ","MOZ",508,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",0.999992835,4.925451253,-6.124715451,10.59852967,6.533396458,2.259757178,11.2025196,11.30106865,9.931251949,11.69852372,1.180300789,12.0868744,9.291051885,6.878532872,7.916407836,6.645908281,9.694374092,7.729746242,7.317755324,6.318197232,6.502353115,7.417384316,7.258439253,6.963607135,7.398512797,6.72327878,3.824214319,3.741317593,3.44381384,2.31460601,-1.233905711,2.224819268],
    [1377,"Africa","Mozambique","MZ","MOZ",508,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","Instituto Nacional de Estad�stica (2020). Estad�sticos dos transportes e comunica��es. Available at: http://www.ine.gov.mz/estatisticas/estatisticas-sectoriais/transporte-e-comunicacao ","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,37925,42502,47326,51023,50772,49792,null,null,52201.8,56844,44161,40324,null],
    [1378,"Africa","Mozambique","MZ","MOZ",508,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,16987.26274,null,null,null],
    [1379,"Africa","Mozambique","MZ","MOZ",508,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,48844,52202,null,null,null,null],
    [1380,"Africa","Mozambique","MZ","MOZ",508,"Passenger activity","Road","All","All","Urban and intercity","ROAD_PA_URBINTC","million passenger-km","Instituto Nacional de Estad�stica (2020). Estad�sticos dos transportes e comunica��es. Available at: http://www.ine.gov.mz/estatisticas/estatisticas-sectoriais/transporte-e-comunicacao ","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,12734,16142,18078,19931,21318,18236,null,null,19418.1,21816,14062,12652,null],
    [1381,"Africa","Mozambique","MZ","MOZ",508,"Passenger activity","Road","All","All","Inter-rural","ROAD_PA_INTR","million passenger-km","Instituto Nacional de Estad�stica (2020). Estad�sticos dos transportes e comunica��es. Available at: http://www.ine.gov.mz/estatisticas/estatisticas-sectoriais/transporte-e-comunicacao ","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,24817,25850,28700,30515,28862,30948.5,null,null,32120.8,34259,29464,27065,null],
    [1382,"Africa","Mozambique","MZ","MOZ",508,"Passenger activity","Road","All","All","International","ROAD_PA_INT","million passenger-km","Instituto Nacional de Estad�stica (2020). Estad�sticos dos transportes e comunica��es. Available at: http://www.ine.gov.mz/estatisticas/estatisticas-sectoriais/transporte-e-comunicacao ","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,374,510,548,578,591,607.3,null,null,662.9,768,634,607,null],
    [1383,"Africa","Mozambique","MZ","MOZ",508,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","Instituto Nacional de Estad�stica (2020). Estad�sticos dos transportes e comunica��es. Available at: http://www.ine.gov.mz/estatisticas/estatisticas-sectoriais/transporte-e-comunicacao ","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,164,254,253,281,243,266.2,null,null,702,918,262,194,null],
    [1384,"Africa","Mozambique","MZ","MOZ",508,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.001634,null,null,null],
    [1385,"Africa","Mozambique","MZ","MOZ",508,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,256,321,702,875,793,185,null],
    [1386,"Africa","Mozambique","MZ","MOZ",508,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UIC (2023). International Railway Statistics, Traffic on the national Territory - PKm, VAR 5113, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,142,142,138,167,null,172.2,346.7,102.3,113.6,164,239.4,246.8,null,null,null,null,null,null,null,null,null,null],
    [1387,"Africa","Mozambique","MZ","MOZ",508,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","The World Bank (2023). Railways, passengers carried (million passenger-km). Available at: https://data.worldbank.org/indicator/IS.RRS.PASG.KM","A",null,null,null,null,null,312,326,403,155,129,142,142,138,167,null,172.2,346.7,102.3,113.6,164,239.4,246.8,null,null,null,null,null,null,null,null,null,null],
    [1388,"Africa","Mozambique","MZ","MOZ",508,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,172,172,172,114,114,114,247,247,null,null,null,null,null,null,null,null,null],
    [1389,"Africa","Mozambique","MZ","MOZ",508,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","Instituto Nacional de Estad�stica (2020). Estad�sticos dos transportes e comunica��es. Available at: http://www.ine.gov.mz/estatisticas/estatisticas-sectoriais/transporte-e-comunicacao ","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,624,790,860,662,740,788.8,null,null,643.1,746,3938,3463,null],
    [1390,"Africa","Mozambique","MZ","MOZ",508,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,612.182,579.2,null,null,null],
    [1391,"Africa","Mozambique","MZ","MOZ",508,"Passenger activity","Inland waterways","All","All","All","IWW_PA_NAT","million passenger-km","Instituto Nacional de Estad�stica (2020). Estad�sticos dos transportes e comunica��es. Available at: http://www.ine.gov.mz/estatisticas/estatisticas-sectoriais/transporte-e-comunicacao ","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,13,20,23,24,24,43.2,null,null,57.9,64,172,162,null],
    [1392,"Africa","Mozambique","MZ","MOZ",508,"Passenger activity","All","All","All","All","TRAN_PA_NAT","million passenger-km","Instituto Nacional de Estad�stica (2020). Estad�sticos dos transportes e comunica��es. Available at: http://www.ine.gov.mz/estatisticas/estatisticas-sectoriais/transporte-e-comunicacao ","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,38726,43567,48462,51990,51780,50883,null,null,53604.8,58572,48533,44143,null],
    [1393,"Africa","Mozambique","MZ","MOZ",508,"Passenger activity","All","All","All","All","TRAN_PA_NAT","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,49165,52904,null,null,null,null],
    [1394,"Africa","Mozambique","MZ","MOZ",508,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","Instituto Nacional de Estad�stica (2020). Estad�sticos dos transportes e comunica��es. Available at: http://www.ine.gov.mz/estatisticas/estatisticas-sectoriais/transporte-e-comunicacao ","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2247,2998,3331,3569,4004,4199.1,null,null,4732.9,5091,8106,7174,null],
    [1395,"Africa","Mozambique","MZ","MOZ",508,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,10387.76672,null,null,null],
    [1396,"Africa","Mozambique","MZ","MOZ",508,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,4409,4733,null,null,null,null],
    [1397,"Africa","Mozambique","MZ","MOZ",508,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","Instituto Nacional de Estad�stica (2020). Estad�sticos dos transportes e comunica��es. Available at: http://www.ine.gov.mz/estatisticas/estatisticas-sectoriais/transporte-e-comunicacao ","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,772,936,1166,2647,3167,4920,null,null,12540.6,13448,8102,10398,null],
    [1398,"Africa","Mozambique","MZ","MOZ",508,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,480.152617,null,null,null],
    [1399,"Africa","Mozambique","MZ","MOZ",508,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,8969,12541,null,24248,10520,null],
    [1400,"Africa","Mozambique","MZ","MOZ",508,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","The World Bank (2023). Railways, goods transported (million ton-km). Available at: https://data.worldbank.org/indicator/IS.RRS.GOOD.MT.K6","A",null,null,null,null,null,886,983,896,707,721,438,774,808,1362,null,768.3,775.1,736.3,717.7,772.3,1009.8,1193.4,null,null,null,null,null,null,null,null,null,null],
    [1401,"Africa","Mozambique","MZ","MOZ",508,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,768,768,768,695,695,695,1194,1193,null,null,null,null,null,null,null,null,null],
    [1402,"Africa","Mozambique","MZ","MOZ",508,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","Instituto Nacional de Estad�stica (2020). Estad�sticos dos transportes e comunica��es. Available at: http://www.ine.gov.mz/estatisticas/estatisticas-sectoriais/transporte-e-comunicacao ","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,6,7,7,5,4,5,null,null,3.7,4.8,0.1,0.1,null],
    [1403,"Africa","Mozambique","MZ","MOZ",508,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3.557,4.775,null,null,null],
    [1404,"Africa","Mozambique","MZ","MOZ",508,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",9.100000382,9.399999619,8.600000382,9.899999619,11.30000019,5.5,5.400000095,5.199999809,5.900000095,6.599999905,7.164,6.885,7.095,6.627,5.344,4.928,5.196,5.778,6.743,5.827,6.14,8.075,4.922380237,5.882496,5.366502991,4.863661659,4.37,3.557,4.775,6.347,2.423532,2.629],
    [1405,"Africa","Mozambique","MZ","MOZ",508,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","Instituto Nacional de Estad�stica (2020). Estad�sticos dos transportes e comunica��es. Available at: http://www.ine.gov.mz/estatisticas/estatisticas-sectoriais/transporte-e-comunicacao ","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,154,261,200,180,367,419.2,null,null,19.9,20.8,24,22,null],
    [1406,"Africa","Mozambique","MZ","MOZ",508,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1835.563275,null,null,null],
    [1407,"Africa","Mozambique","MZ","MOZ",508,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,19,20,null,null,null,null],
    [1408,"Africa","Mozambique","MZ","MOZ",508,"Freight activity","All","All","All","All","TRAN_GO_NAT","milion ton-km","Instituto Nacional de Estad�stica (2020). Estad�sticos dos transportes e comunica��es. Available at: http://www.ine.gov.mz/estatisticas/estatisticas-sectoriais/transporte-e-comunicacao ","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3258,4087,4850,6664,7620,8920,null,null,17650.3,19015.2,18537,20159,null],
    [1409,"Africa","Mozambique","MZ","MOZ",508,"Freight activity","All","All","All","All","TRAN_GO_NAT","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,13397,17294,null,null,null,null],
    [1410,"Africa","Mozambique","MZ","MOZ",508,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","Instituto Nacional de Estad�stica (2020). Estad�sticos dos transportes e comunica��es. Available at: http://www.ine.gov.mz/estatisticas/estatisticas-sectoriais/transporte-e-comunicacao ","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,335177,379258,430043,480981,542336,660505,661355,698814,735954,782757,835607,883659,null],
    [1411,"Africa","Mozambique","MZ","MOZ",508,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,661355,698864,735954,null,null,null,null],
    [1412,"Africa","Mozambique","MZ","MOZ",508,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","Instituto Nacional de Estad�stica (2020). Estad�sticos dos transportes e comunica��es. Available at: http://www.ine.gov.mz/estatisticas/estatisticas-sectoriais/transporte-e-comunicacao ","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,46822,50141,54091,58911,64987,72460,64620,67329,67932,76434,80914,83581,null],
    [1413,"Africa","Mozambique","MZ","MOZ",508,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,64620,67329,71773,null,null,null,null],
    [1414,"Africa","Mozambique","MZ","MOZ",508,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","Instituto Nacional de Estad�stica (2020). Estad�sticos dos transportes e comunica��es. Available at: http://www.ine.gov.mz/estatisticas/estatisticas-sectoriais/transporte-e-comunicacao ","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,203799,233086,270762,303711,343653,427426,436312,464825,469319,523580,562022,597514,null],
    [1415,"Africa","Mozambique","MZ","MOZ",508,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,436312,464875,490414,null,null,null,null],
    [1416,"Africa","Mozambique","MZ","MOZ",508,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","Instituto Nacional de Estad�stica (2020). Estad�sticos dos transportes e comunica��es. Available at: http://www.ine.gov.mz/estatisticas/estatisticas-sectoriais/transporte-e-comunicacao ","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,72550,82389,92828,103564,115951,139598,137634,142088,167627,153660,161349,169038,null],
    [1417,"Africa","Mozambique","MZ","MOZ",508,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,160423,166660,173767,null,null,null,null],
    [1418,"Africa","Mozambique","MZ","MOZ",508,"Vehicle stock","Road","Trailer","All","All","ROAD_EQS_TRAILE","n","Instituto Nacional de Estad�stica (2020). Estad�sticos dos transportes e comunica��es. Available at: http://www.ine.gov.mz/estatisticas/estatisticas-sectoriais/transporte-e-comunicacao ","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,4821,6511,8584,10004,8562,10483,12944,15037,16545,18058,19569,21269,23051,24995,null],
    [1419,"Africa","Mozambique","MZ","MOZ",508,"Vehicle stock","Road","Agricultural and forestry tractors","All","All","ROAD_EQS_TRACTO","n","Instituto Nacional de Estad�stica (2020). Estad�sticos dos transportes e comunica��es. Available at: http://www.ine.gov.mz/estatisticas/estatisticas-sectoriais/transporte-e-comunicacao ","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3422,3638,3800,4312,4801,5984,6244,6514,11507,7814,8271,8531,null],
    [1420,"Africa","Mozambique","MZ","MOZ",508,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [1421,"Africa","Mozambique","MZ","MOZ",508,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [1422,"Africa","Mozambique","MZ","MOZ",508,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [1423,"Africa","Mozambique","MZ","MOZ",508,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [1424,"Africa","Mozambique","MZ","MOZ",508,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1425,"Africa","Mozambique","MZ","MOZ",508,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1426,"Africa","Mozambique","MZ","MOZ",508,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1427,"Africa","Mozambique","MZ","MOZ",508,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [1428,"Africa","Mauritania","MR","MRT",478,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",2.034347,2.087914,2.142645,2.198538,2.25552,2.31363,2.3729,2.433567,2.496217,2.561584,2.630217,2.702405,2.778097,2.85715,2.939246,3.024198,3.111908,3.202512,3.296237,3.393408,3.4942,3.598646,3.706555,3.817497,3.930894,4.046304,4.163532,4.282582,4.403312,4.525698,4.64966,4.77511],
    [1429,"Africa","Mauritania","MR","MRT",478,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",39.323,39.199,39.075,38.952,38.829,38.705,38.582,38.459,38.337,38.214,38.091,38.616,39.48,40.351,41.229,42.111,42.998,43.89,44.788,45.686,46.588,47.493,48.4,49.306,50.203,51.089,51.962,52.824,53.672,54.507,55.327,56.133],
    [1430,"Africa","Mauritania","MR","MRT",478,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",60.677,60.801,60.925,61.048,61.171,61.295,61.418,61.541,61.663,61.786,61.909,61.384,60.52,59.649,58.771,57.889,57.002,56.11,55.212,54.314,53.412,52.507,51.6,50.694,49.797,48.911,48.038,47.176,46.328,45.493,44.673,43.867],
    [1431,"Africa","Mauritania","MR","MRT",478,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",2.61178932,2.599059855,2.587556571,2.575154686,2.558795104,2.543717466,2.529511611,2.524524646,2.541830356,2.584943131,2.644053515,2.707576499,2.762404365,2.805846357,2.832846138,2.849284649,2.859011053,2.869945896,2.884601295,2.905321134,2.926972492,2.945321255,2.95452102,2.949209845,2.927190867,2.893699093,2.855988065,2.819234622,2.780088631,2.741483436,2.702227925,2.662291167],
    [1432,"Africa","Mauritania","MR","MRT",478,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",2806.313565,2856.492901,2910.027169,3080.951614,2986.651935,3279.935194,3470.788937,3330.406058,3422.918236,3548.648127,3409.611175,3382.351545,3429.078189,3666.653969,3840.187825,4169.149345,4933.487781,4836.32655,4820.314479,4825.032404,4951.459328,5158.072995,5388.639537,5612.311898,5852.228313,6166.86396,6244.622517,6636.194425,6936.598105,7336.141342,7206.781562,7372.519416],
    [1433,"Africa","Mauritania","MR","MRT",478,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",21.88606933,28.5916901,28.54553789,28.64725529,27.9385376,28.13397967,27.19802956,25.04665481,25.94134021,26.27665563,24.8287453,24.86895971,24.23001696,24.17884985,22.91789922,20.07019672,16.60714389,18.43251928,18.5594231,19.17818215,16.7330487,14.51589474,16.08596076,16.28260111,18.81420596,20.62974539,21.739169,22.71874791,23.33066332,21.67694751,20.18792117,20.19576947],
    [1434,"Africa","Mauritania","MR","MRT",478,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E",9.268992025,7.966185038,7.46044866,7.684054714,7.98531641,8.334938877,8.373031837,8.559442364,9.237406152,8.812909571,8.309666826,7.90546712,7.322741304,7.247570668,7.826148794,9.868595706,13.61032096,11.98277445,12.2252508,9.880494183,12.20399715,14.5151309,12.84145007,13.13622862,9.802781878,8.479813432,9.421814507,8.983037594,9.057003581,9.955390036,10.42079582,10.45760916],
    [1435,"Africa","Mauritania","MR","MRT",478,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",9.268992025,7.966185038,7.46044866,7.684054714,7.98531641,8.334938877,8.373031837,8.559442364,9.237406152,8.812909571,8.309666826,7.90546712,7.322741304,7.247570668,7.826148794,9.868595706,13.61032096,11.98277445,12.2252508,9.880494183,12.20399715,14.5151309,12.84145007,13.13622862,9.802781878,8.479813432,9.421814507,8.983037594,9.057003581,9.955390036,10.42079582,10.45760916],
    [1436,"Africa","Mauritania","MR","MRT",478,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",8.419389627,6.408258629,7.165885775,8.17674469,7.259005432,6.916697475,7.088624088,7.595467853,10.36381111,10.63763541,9.874600799,10.1414071,11.7437803,10.71897544,10.75722525,9.640268506,8.481466917,7.314297587,5.526539368,8.435133709,6.70568705,5.742828681,6.521132118,6.406984148,7.414344454,7.43829556,6.111147578,6.413540454,6.112381428,5.742404757,6.089224057,5.85248776],
    [1437,"Africa","Mauritania","MR","MRT",478,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",41.88756497,41.10149616,41.90723035,40.12383587,40.84650774,39.94450622,40.59425084,41.67955024,35.98263022,36.64698024,40.36765343,41.27323183,42.05797883,43.35946271,42.84642914,40.68374765,34.08042631,38.30485979,39.23828513,42.74520159,39.9492728,36.19588389,38.8685569,37.90172888,44.36310395,46.49251875,43.8842399,43.91859886,43.3859445,42.71447762,42.46046731,42.57891529],
    [1438,"Africa","Mauritania","MR","MRT",478,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E",9.268992025,7.966185038,7.46044866,7.684054714,7.98531641,8.334938877,8.373031837,8.559442364,9.237406152,8.812909571,8.309666826,7.90546712,7.322741304,7.247570668,7.826148794,9.868595706,13.61032096,11.98277445,12.2252508,9.880494183,12.20399715,14.5151309,12.84145007,13.13622862,9.802781878,8.479813432,9.421814507,8.983037594,9.057003581,9.955390036,10.42079582,10.45760916],
    [1439,"Africa","Mauritania","MR","MRT",478,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",-1.771304533,1.788087282,1.874125731,5.873637432,-3.060732225,9.819800419,5.818826634,-4.044696525,2.777804784,3.673178323,-3.918025879,-0.799493816,1.381483962,6.928269551,4.732757925,8.566287249,18.33319876,-1.969422752,-0.331079195,0.097875872,2.620229521,4.172783283,4.470013182,4.150813186,4.274823271,5.376339237,1.260909224,6.270545694,4.526746225,5.75993059,-1.763321794,2.299748541],
    [1440,"Africa","Mauritania","MR","MRT",478,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,5201.301981,11059.52857,null,null],
    [1441,"Africa","Mauritania","MR","MRT",478,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","The World Bank (2023). Railways, passengers carried (million passenger-km). Available at: https://data.worldbank.org/indicator/IS.RRS.PASG.KM","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,47,47,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1442,"Africa","Mauritania","MR","MRT",478,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UIC (2023). International Railway Statistics, Traffic on the national Territory - PKm, VAR 5113, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,47.45,47,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1443,"Africa","Mauritania","MR","MRT",478,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3.20901,5165.085714,null,null],
    [1444,"Africa","Mauritania","MR","MRT",478,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,544.887414,601.205471,412.84997,null,null],
    [1445,"Africa","Mauritania","MR","MRT",478,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1549.06,1349.8,null,null],
    [1446,"Africa","Mauritania","MR","MRT",478,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","The World Bank (2023). Railways, goods transported (million ton-km). Available at: https://data.worldbank.org/indicator/IS.RRS.GOOD.MT.K6","A",null,null,null,null,null,null,null,null,null,null,null,null,9554,10153,10674,null,null,7582,7566,7536,null,null,null,null,null,null,null,null,null,null,null,null],
    [1447,"Africa","Mauritania","MR","MRT",478,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","Mauritania Data Portal (2023). Dataset Browser. Available at: https://mauritania.opendataforafrica.org/data/#menu=topic","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7622,7566,7566,7536,7536,null,null,null,null,null,null,null,null,null],
    [1448,"Africa","Mauritania","MR","MRT",478,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UIC (2023). International Railway Statistics, Global Traffic -Domestic traffic in millions of tonne kilometres, VAR 6757, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,10674,null,null,7581.6,7565.64,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1449,"Africa","Mauritania","MR","MRT",478,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Railways, goods transported (million ton-km). Available at: https://data.worldbank.org/indicator/IS.RRS.GOOD.MT.K6","A",17.89999962,16.29999924,15.39999962,14.39999962,14.69999981,15.5,16.70000076,15.5,13.80000019,13.89999962,12.508,7.439,0.074,0.083,0.09,0.095,0.111,0.099,0.116,0.099,0.208132727,0.139250439,0,0,null,null,null,null,0,0,null,null],
    [1450,"Africa","Mauritania","MR","MRT",478,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","Mauritania Data Portal (2023). Dataset Browser. Available at: https://mauritania.opendataforafrica.org/data/#menu=topic","A",null,null,null,null,null,null,null,null,null,null,null,null,0.07,0.08,0.09,null,0.11,0.1,0.12,0.1,null,0.14,null,null,null,null,null,null,null,null,null,null],
    [1451,"Africa","Mauritania","MR","MRT",478,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","SESRIC (2022). Statistical Yearbook on OIC Member Countries 2021, Statistical, Economic and Social Research and Training Centre for Islamic Countries. Available at: https://www.sesric.org/files/article/808.pdf","A",null,null,null,null,null,null,null,null,null,null,13,null,null,null,null,0.1,null,null,null,null,0.21,null,null,null,null,null,null,null,0,0,0,null],
    [1452,"Africa","Mauritania","MR","MRT",478,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,909.832415,160.4,null,null],
    [1453,"Africa","Mauritania","MR","MRT",478,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [1454,"Africa","Mauritania","MR","MRT",478,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [1455,"Africa","Mauritania","MR","MRT",478,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [1456,"Africa","Mauritania","MR","MRT",478,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [1457,"Africa","Mauritania","MR","MRT",478,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1458,"Africa","Mauritania","MR","MRT",478,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1459,"Africa","Mauritania","MR","MRT",478,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1460,"Africa","Mauritania","MR","MRT",478,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [1461,"Africa","Malawi","MW","MWI",454,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",9.404499,9.600361,9.685974,9.710335,9.745695,9.844418,10.022783,10.264906,10.552345,10.854325,11.148751,11.432001,11.713663,12.000183,12.301837,12.62595,12.973693,13.341808,13.727899,14.128161,14.539609,14.962118,15.39601,15.839287,16.28955,16.745305,17.205253,17.670193,18.143215,18.628749,19.129955,19.647681],
    [1462,"Africa","Malawi","MW","MWI",454,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",11.56,11.885,12.218,12.558,12.907,13.263,13.629,14.002,14.384,14.522,14.61,14.698,14.786,14.875,14.964,15.054,15.144,15.235,15.326,15.429,15.544,15.672,15.812,15.966,16.132,16.313,16.506,16.714,16.937,17.174,17.427,17.695],
    [1463,"Africa","Malawi","MW","MWI",454,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",88.44,88.115,87.782,87.442,87.093,86.737,86.371,85.998,85.616,85.478,85.39,85.302,85.214,85.125,85.036,84.946,84.856,84.765,84.674,84.571,84.456,84.328,84.188,84.034,83.868,83.687,83.494,83.286,83.063,82.826,82.573,82.305],
    [1464,"Africa","Malawi","MW","MWI",454,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",3.560222407,2.061251014,0.887815776,0.251192253,0.363486682,1.0078945,1.795620756,2.387009149,2.761721701,2.821550797,2.676385562,2.508905441,2.433941016,2.416596141,2.482670115,2.600561903,2.716947195,2.797887174,2.852762195,2.873985411,2.87065408,2.864495966,2.858684488,2.838498781,2.803042518,2.759412255,2.70968237,2.666446457,2.641745288,2.640937098,2.654939852,2.670388496],
    [1465,"Africa","Malawi","MW","MWI",454,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",2339.569341,2543.819168,2357.281465,2585.745419,2320.960389,2709.229619,2907.455321,3017.718212,3135.26599,3230.649501,3281.567051,3118.310277,3171.321552,3352.265725,3533.975212,3649.491172,3821.017257,4187.834914,4507.774478,4883.186907,5218.86038,5472.186739,5575.38121,5865.301032,6199.623191,6373.212641,6531.525832,6792.788858,7091.106972,7477.443338,7537.26276,7744.644244],
    [1466,"Africa","Malawi","MW","MWI",454,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",38.48260597,39.64781066,34.93256277,44.78280462,22.34120948,26.86427914,31.41790374,30.31048807,32.19048749,34.40007686,35.66084815,35.28267377,38.81840596,36.2226653,34.71394761,32.91457648,30.86732465,27.51127902,29.97580655,30.42900297,29.61487225,28.77238042,28.28892624,28.67364219,28.70269876,27.48122386,25.92704341,22.92623863,21.62943584,23.00254031,22.65520608,22.73014986],
    [1467,"Africa","Malawi","MW","MWI",454,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E",7.513229987,5.807926906,6.442842187,5.388036664,4.911945046,5.002163606,4.665055386,3.737801063,4.585841384,4.500523464,4.783655219,4.570436234,3.169714019,3.792370352,4.872151654,5.294273859,4.730426181,4.69488295,3.882859472,4.072618709,4.178485546,4.422293548,4.421018671,4.008565585,3.983740348,4.238685043,4.234053991,4.218160843,4.481881622,4.351018186,4.39237095,4.42062342],
    [1468,"Africa","Malawi","MW","MWI",454,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",7.513229987,5.807926906,6.442842187,5.388036664,4.911945046,5.002163606,4.665055386,3.737801063,4.585841384,4.500523464,4.783655219,4.570436234,3.169714019,3.792370352,4.872151654,5.294273859,4.730426181,4.69488295,3.882859472,4.072618709,4.178485546,4.422293548,4.421018671,4.008565585,3.983740348,4.238685043,4.234053991,4.218160843,4.481881622,4.351018186,4.39237095,4.42062342],
    [1469,"Africa","Malawi","MW","MWI",454,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",16.64939904,16.29423661,19.04892383,14.34215779,15.49640056,13.98260916,12.95145128,12.59871547,12.31291966,12.16716766,11.61744248,10.49399342,12.3885768,13.50185628,11.27657708,10.2821379,12.40396844,13.94920134,11.71829675,10.37868845,9.909851245,10.06951316,9.254067752,9.563997098,9.549752663,9.60125083,9.518886746,11.29706162,11.39177778,11.53793265,11.55535636,11.57278006],
    [1470,"Africa","Malawi","MW","MWI",454,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",22.32830502,26.63417201,26.68998684,24.7109276,47.42655482,44.14662088,41.63547882,45.87739327,41.7390687,39.93118509,38.37074372,40.51202411,39.28387518,38.89836736,39.39302035,40.92046404,42.53742837,44.45487079,46.65731828,46.97445246,47.93981986,47.89122578,49.19395,49.73666396,49.79632753,50.20147018,51.85190787,53.12221721,53.53314151,52.40647248,52.61232471,52.43519982],
    [1471,"Africa","Malawi","MW","MWI",454,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E",7.513229987,5.807926906,6.442842187,5.388036664,4.911945046,5.002163606,4.665055386,3.737801063,4.585841384,4.500523464,4.783655219,4.570436234,3.169714019,3.792370352,4.872151654,5.294273859,4.730426181,4.69488295,3.882859472,4.072618709,4.178485546,4.422293548,4.421018671,4.008565585,3.983740348,4.238685043,4.234053991,4.218160843,4.481881622,4.351018186,4.39237095,4.42062342],
    [1472,"Africa","Malawi","MW","MWI",454,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",5.692294496,8.730231826,-7.332978137,9.691840273,-10.24018174,16.72881759,7.316681512,3.792419098,3.89525363,3.042278092,1.576077837,-4.974963848,1.700000015,5.705639436,5.420497695,3.268725825,4.699999993,9.600000005,7.639736775,8.328110275,6.874065633,4.854055111,1.885799508,5.199999996,5.700000005,2.8,2.484040626,4.000030516,4.391688296,5.448181336,0.799998331,2.751416408],
    [1473,"Africa","Malawi","MW","MWI",454,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,11234.42808,27482.99394,null,null],
    [1474,"Africa","Malawi","MW","MWI",454,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.086,21.231,29.883,15.87,18.289,246.78,null],
    [1475,"Africa","Malawi","MW","MWI",454,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UIC (2023). International Railway Statistics, Traffic on the national Territory - PKm, VAR 5113, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,44,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1476,"Africa","Malawi","MW","MWI",454,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","The World Bank (2023). Railways, passengers carried (million passenger-km). Available at: https://data.worldbank.org/indicator/IS.RRS.PASG.KM","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,44,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1477,"Africa","Malawi","MW","MWI",454,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.001568,365.4545455,null,null],
    [1478,"Africa","Malawi","MW","MWI",454,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.396603,2.396603,1.620369,null,null],
    [1479,"Africa","Malawi","MW","MWI",454,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,162.778,1599.8,null,null],
    [1480,"Africa","Malawi","MW","MWI",454,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","The World Bank (2023). Railways, goods transported (million ton-km). Available at: https://data.worldbank.org/indicator/IS.RRS.GOOD.MT.K6","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,33,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1481,"Africa","Malawi","MW","MWI",454,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","Malawi (2023). Dataset Browser. Available at: https://malawi.opendataforafrica.org/data/#menu=topic","A",null,null,null,null,null,null,null,null,null,null,87.46,70,73,41,38,null,null,null,33,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1482,"Africa","Malawi","MW","MWI",454,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,45.161,53.705,71.647,74.822,89.15,39.9,null],
    [1483,"Africa","Malawi","MW","MWI",454,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",0.899999976,1.399999976,1.600000024,2.900000095,3.299999952,3.5,3.5,3.900000095,3.5,0.800000012,0.8,0.798,1.246,1.176,1.289,1.364,1.601,1.438,1.589,1.384,0.554163455,0.509,0.317003019,0.005484,0.005484,0.005467548,0.007249968,0.010879737,0.010879737,0.002464004,8.624e-05,0.000590054],
    [1484,"Africa","Malawi","MW","MWI",454,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.01088,0.02088,0.002464,null,null],
    [1485,"Africa","Malawi","MW","MWI",454,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.278,2.628,2.628,1.8,null,11.529,null],
    [1486,"Africa","Malawi","MW","MWI",454,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [1487,"Africa","Malawi","MW","MWI",454,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [1488,"Africa","Malawi","MW","MWI",454,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [1489,"Africa","Malawi","MW","MWI",454,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [1490,"Africa","Malawi","MW","MWI",454,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1491,"Africa","Malawi","MW","MWI",454,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1492,"Africa","Malawi","MW","MWI",454,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1493,"Africa","Malawi","MW","MWI",454,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [1494,"Asia","Malaysia","MY","MYS",458,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",18.029824,18.519941,19.00266,19.484901,19.977508,20.487604,21.017619,21.56279,22.114647,22.661293,23.194252,23.709115,24.208391,24.698821,25.190647,25.690615,26.201954,26.720367,27.236003,27.735038,28.208028,28.650962,29.068189,29.468923,29.866606,30.270965,30.684652,31.104655,31.528033,31.949789,32.365998,32.776195],
    [1495,"Asia","Malaysia","MY","MYS",458,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",49.794,50.576,51.814,53.109,54.402,55.688,56.969,58.237,59.496,60.742,61.977,62.922,63.856,64.78,65.694,66.594,67.483,68.36,69.225,70.075,70.912,71.609,72.275,72.93,73.577,74.213,74.84,75.447,76.036,76.607,77.16,77.696],
    [1496,"Asia","Malaysia","MY","MYS",458,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",50.206,49.424,48.186,46.891,45.598,44.312,43.031,41.763,40.504,39.258,38.023,37.078,36.144,35.22,34.306,33.406,32.517,31.64,30.775,29.925,29.088,28.391,27.725,27.07,26.423,25.787,25.16,24.553,23.964,23.393,22.84,22.304],
    [1497,"Asia","Malaysia","MY","MYS",458,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",2.817284831,2.682076781,2.57309259,2.506088858,2.496718277,2.521297961,2.554106564,2.560805802,2.52710052,2.44181657,2.324617448,2.1955084,2.083973524,2.00562011,1.971726513,1.965297528,1.970823803,1.959209547,1.911365416,1.815678585,1.691009466,1.558040198,1.445739447,1.369183571,1.340474962,1.344800221,1.357359246,1.359489171,1.351960014,1.328849015,1.294285057,1.25940624],
    [1498,"Asia","Malaysia","MY","MYS",458,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",74627.43903,81750.9769,89014.64765,97822.59659,106834.0551,117334.8654,129071.5208,138523.095,128328.6053,136204.9172,148271.1313,149038.6943,157073.3529,166165.5428,177437.2789,186898.4816,197336.4759,209766.2781,219901.702,216573.4266,232653.673,244970.1556,258378.4849,270506.054,286754.6005,301354.804,314764.434,333060.8168,349191.2418,364693.3714,344099.3558,354878.5766],
    [1499,"Asia","Malaysia","MY","MYS",458,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",15.21653328,14.35570291,14.57241077,13.78735612,13.66103724,12.94943656,11.68043447,11.10133253,13.31224426,10.84238805,8.599021888,8.010970591,8.985081404,9.306085216,9.271002093,8.262291704,8.609982841,9.98677368,9.968582335,9.219100044,10.08991593,11.45335312,9.793750746,9.113363845,8.873209013,8.287499926,8.462526618,8.598276952,7.512089533,7.239762358,8.194522444,9.613242997],
    [1500,"Asia","Malaysia","MY","MYS",458,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E",5.455390309,5.091619549,4.646872221,4.106608438,3.918087666,4.263438709,4.192087189,4.091626892,2.978008283,3.446223617,4.745310292,4.493177416,4.357367835,4.685001357,5.267750664,6.663625092,6.632550471,6.45679903,7.174198118,6.048244365,5.999629915,5.819905608,6.015225709,6.033721639,6.043390095,5.801739551,5.736365817,5.891182548,5.989567806,5.730366664,4.919504671,5.115884426],
    [1501,"Asia","Malaysia","MY","MYS",458,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",5.455390309,5.091619549,4.646872221,4.106608438,3.918087666,4.263438709,4.192087189,4.091626892,2.978008283,3.446223617,4.745310292,4.493177416,4.357367835,4.685001357,5.267750664,6.663625092,6.632550471,6.45679903,7.174198118,6.048244365,5.999629915,5.819905608,6.015225709,6.033721639,6.043390095,5.801739551,5.736365817,5.891182548,5.989567806,5.730366664,4.919504671,5.115884426],
    [1502,"Asia","Malaysia","MY","MYS",458,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",24.2246874,25.54986531,25.82259328,25.92599045,26.64060861,26.37803239,27.84276323,28.38020547,28.78270602,30.93621577,30.86354977,29.33640404,29.24639822,29.92867189,30.37814736,27.54968008,27.56608756,26.12258394,24.56071766,23.80014505,23.43377557,23.32020449,23.13817629,22.84074242,22.87393024,22.29329748,21.79695148,21.84615988,21.52815927,21.40306088,22.27918438,23.49137542],
    [1503,"Asia","Malaysia","MY","MYS",458,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",44.19260839,44.81957313,45.66437929,47.96682811,47.94409115,47.88221492,47.90054073,48.24358133,48.97102488,47.88272533,46.30149747,49.17309312,48.69641688,46.71023882,44.54759856,44.19715294,43.92627818,44.52024529,43.94810565,48.83602181,48.47741876,47.76672557,49.02239584,49.94472882,50.12269046,52.01398394,52.53142445,51.88201552,52.99104779,54.16607677,54.76777916,51.5477283],
    [1504,"Asia","Malaysia","MY","MYS",458,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E",5.455390309,5.091619549,4.646872221,4.106608438,3.918087666,4.263438709,4.192087189,4.091626892,2.978008283,3.446223617,4.745310292,4.493177416,4.357367835,4.685001357,5.267750664,6.663625092,6.632550471,6.45679903,7.174198118,6.048244365,5.999629915,5.819905608,6.015225709,6.033721639,6.043390095,5.801739551,5.736365817,5.891182548,5.989567806,5.730366664,4.919504671,5.115884426],
    [1505,"Asia","Malaysia","MY","MYS",458,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",9.008527138,9.545467414,8.885117978,9.894943334,9.212041793,9.829085197,10.00270069,7.32274185,-7.359415188,6.137612011,8.85886817,0.517675319,5.390988307,5.788499286,6.783437724,5.332139161,5.584847067,6.298785927,4.831769889,-1.513528716,7.424847383,5.293912834,5.473454193,4.693722526,6.006721946,5.091532422,4.449781398,5.81272241,4.843086976,4.439438251,-5.646939932,3.132589661],
    [1506,"Asia","Malaysia","MY","MYS",458,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,44426.21047,null,null,null],
    [1507,"Asia","Malaysia","MY","MYS",458,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,null,1137.68,1030.54,1152.14,1195.19,1247.63,1316.83,1385.58,1525.57,1532.19,1428,1218.19,1098.72,637.545,426.136,291.424,201.553,196.341,null,null,null],
    [1508,"Asia","Malaysia","MY","MYS",458,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,170097.289,null,null,null],
    [1509,"Asia","Malaysia","MY","MYS",458,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3596,3994,4237,1054,null],
    [1510,"Asia","Malaysia","MY","MYS",458,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UIC (2023). International Railway Statistics, Traffic on the national Territory - PKm, VAR 5113, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,1220,1181,2256,1931,1931,2152,2120,2193,2268,2346.45,2414.88,2497,2321.3586,2413.241413,1985.694289,1964.330166,2344.190264,2468.088213,2317.063326,2200.050277,929.341054,null],
    [1511,"Asia","Malaysia","MY","MYS",458,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","The World Bank (2023). Railways, passengers carried (million passenger-km). Available at: https://data.worldbank.org/indicator/IS.RRS.PASG.KM","A",null,null,null,null,null,1270,1370,1492,1397,1316,1220,1181,2256,1931,1931,2152,2120,2193,2268,2346.45,2414.88,2497,2321.3586,2413.241413,1985.694289,1964.330166,2344.190264,2468.088213,2317.063326,2200.050277,929.341054,null],
    [1512,"Asia","Malaysia","MY","MYS",458,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,111058.6468,113966.3432,null,null,null],
    [1513,"Asia","Malaysia","MY","MYS",458,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,104133.4,null,null,null],
    [1514,"Asia","Malaysia","MY","MYS",458,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,null,1073,887,1017,1178,1337,1356,1351,1384,1483,1536,1565,1762,1742,1475,1350,1234,1233,null,null,null],
    [1515,"Asia","Malaysia","MY","MYS",458,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7239.084,null,null,null],
    [1516,"Asia","Malaysia","MY","MYS",458,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1349,1234,1233.184,1141.602,818,null],
    [1517,"Asia","Malaysia","MY","MYS",458,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UIC (2023). International Railway Statistics, Global Traffic -Domestic traffic in millions of tonne kilometres, VAR 6757, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,1176,962,1063,1420,1215,1210.159363,null,null,3171,null,null,null,null,1288.697,1163.37,1238.17,1052.319563,752.584431,null],
    [1518,"Asia","Malaysia","MY","MYS",458,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","The World Bank (2023). Railways, goods transported (million ton-km). Available at: https://data.worldbank.org/indicator/IS.RRS.GOOD.MT.K6","A",null,null,null,null,null,1416,1417,1337,992,907,916,1094,1107,886,1016,1177,1572,1355.237078,1350,1384.109284,1482.69,1535,1564,1760,1741,1474,1349,1234,1315,1141.586432,817.647143,null],
    [1519,"Asia","Malaysia","MY","MYS",458,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1455.209824,1404.407778,null,null,null],
    [1520,"Asia","Malaysia","MY","MYS",458,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",574.2000122,713.5999756,763.7000122,677.7999878,797.0999756,1198.800049,1414.599976,1425.699951,1375.599976,1424.599976,1863.841,1774.745,1923.655,2178.51,2599.165,2577.581,2597.404,2661.528,2444.462,2853.263,2564.658224,2193.260008,1943.958883,2161.992838,2193.300634,2005.979379,1149.876958,1455.209824,1359.12559,1378.744705,816.74595,1119.414357],
    [1521,"Asia","Malaysia","MY","MYS",458,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,null,12021939,12819248,13764837,14816407,15790732,16813943,17971901,19016782,20188565,21304818,22616566,23819256,25101192,26301952,27613259,28738176,29956525,31214871,null,null],
    [1522,"Asia","Malaysia","MY","MYS",458,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1176290,1210075,null,null],
    [1523,"Asia","Malaysia","MY","MYS",458,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,null,5842617,6164958,6527366,7008051,7458128,7943364,8487451,8940230,9441907,9949774,10559370,11087878,11629265,11871696,12677220,13173069,13725918,14322129,null,null],
    [1524,"Asia","Malaysia","MY","MYS",458,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,552483,595501,null,null],
    [1525,"Asia","Malaysia","MY","MYS",458,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,528084,530853,null,null],
    [1526,"Asia","Malaysia","MY","MYS",458,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,null,51158,52846,54997,57370,59991,62308,64050,66581,69149,71784,73536,62784,null,null,null,null,null,null,null,null],
    [1527,"Asia","Malaysia","MY","MYS",458,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1019,1430,null,null],
    [1528,"Asia","Malaysia","MY","MYS",458,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,null,5069412,5499707,5987421,6552391,7024043,7504385,8056999,8601808,9217881,9433490,10064851,10689450,11199910,12094790,13000358,13582636,14189693,14762708,null,null],
    [1529,"Asia","Malaysia","MY","MYS",458,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,71370,46396,null,null],
    [1530,"Asia","Malaysia","MY","MYS",458,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,null,713148,740462,772218,805157,836579,871234,909243,936222,966177,1034660,1075402,1116167,1159872,1197987,1190664,1223396,1262064,1296431,null,null],
    [1531,"Asia","Malaysia","MY","MYS",458,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,23334,35895,null,null],
    [1532,"Asia","Malaysia","MY","MYS",458,"Energy intensity","Road","Motorcycle","All","All","NRG_EIP_MOTORC","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.5,null,null,null],
    [1533,"Asia","Malaysia","MY","MYS",458,"Energy intensity","Road","Car","All","All","NRG_EIP_CAR","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.8,null,null,null],
    [1534,"Asia","Malaysia","MY","MYS",458,"Energy intensity","Road","Minibus ","All","All","NRG_EIP_MINIBU","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I, W",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.7,null,null,null],
    [1535,"Asia","Malaysia","MY","MYS",458,"Energy intensity","Road","Bus","All","All","NRG_EIP_BUS","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I, W",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.7,null,null,null],
    [1536,"Asia","Malaysia","MY","MYS",458,"Energy intensity","Road","Light-duty vehicle","All","All","NRG_EIP_LDV","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.7,null,null,null],
    [1537,"Asia","Malaysia","MY","MYS",458,"Energy intensity","Rail","All","All","All","NRG_EIP_RAIL","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.2,null,null,null],
    [1538,"Asia","Malaysia","MY","MYS",458,"Energy intensity","Aviation","All","All","All","NRG_EIP_AVI","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.8,null,null,null],
    [1539,"Africa","Namibia","NA","NAM",516,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",1.432899,1.476399,1.516951,1.555098,1.591826,1.627866,1.663378,1.698029,1.731635,1.763861,1.794583,1.823667,1.851519,1.879113,1.907737,1.938316,1.971318,2.006516,2.043382,2.081039,2.118877,2.156698,2.194777,2.233506,2.273426,2.314901,2.358044,2.402623,2.4483,2.494524,2.540916,2.587344],
    [1540,"Africa","Namibia","NA","NAM",516,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",27.656,27.919,28.336,28.823,29.316,29.813,30.316,30.823,31.335,31.851,32.373,32.898,33.766,34.709,35.666,36.632,37.61,38.598,39.597,40.601,41.616,42.637,43.693,44.756,45.826,46.9,47.961,49.005,50.032,51.042,52.033,53.005],
    [1541,"Africa","Namibia","NA","NAM",516,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",72.344,72.081,71.664,71.177,70.684,70.187,69.684,69.177,68.665,68.149,67.627,67.102,66.234,65.291,64.334,63.368,62.39,61.402,60.403,59.399,58.384,57.363,56.307,55.244,54.174,53.1,52.039,50.995,49.968,48.958,47.967,46.995],
    [1542,"Africa","Namibia","NA","NAM",516,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",3.326982761,2.990635,2.70963844,2.48361669,2.334321881,2.238816964,2.158051983,2.061769222,1.959788224,1.843910739,1.726752668,1.607662622,1.515707407,1.479347373,1.511786586,1.590183202,1.688279971,1.76975302,1.820639351,1.826100994,1.801894313,1.769211698,1.75020985,1.749210134,1.771539665,1.807897723,1.846553978,1.87285954,1.883284894,1.870402328,1.84267165,1.810722098],
    [1543,"Africa","Namibia","NA","NAM",516,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",3912.567566,4232.052672,4536.309434,4464.65665,4541.88983,4718.97876,4869.576676,5075.077696,5242.128224,5418.750119,5607.982809,5674.04197,5945.752617,6197.840297,6958.287294,7134.280656,7638.900835,8049.418738,8262.713205,8287.168433,8787.651209,9235.060247,9702.509635,10247.27835,10871.59574,11335.17956,11339.01022,11222.53015,11341.48262,11236.87613,10352.99057,10604.63449],
    [1544,"Africa","Namibia","NA","NAM",516,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",9.055374716,9.973326526,7.083253148,7.420324401,10.12916002,9.447366191,9.329859553,8.510223824,8.588564582,8.766234059,10.73102477,9.67546592,10.03914318,10.21534323,8.939778917,10.36848875,9.646471039,8.440713665,7.531686571,8.148144593,8.455369441,8.113627203,8.0544752,7.821464901,8.138935754,6.650426796,6.720117635,7.676156215,7.768297709,7.083256598,9.186009796,9.396955441],
    [1545,"Africa","Namibia","NA","NAM",516,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E",8.924408702,8.096973224,8.019171996,6.948890085,7.688909822,7.237895005,7.590231956,7.519842828,7.552968447,7.652528752,7.542366094,8.178169794,8.760149494,6.458603368,7.564016638,7.551403362,8.387749455,9.474099375,10.94452139,8.792258061,8.429825071,8.089316006,8.61090885,8.040537518,8.083384209,7.996485243,7.951331776,7.161823775,7.362476481,7.32360821,6.974844832,6.995274579],
    [1546,"Africa","Namibia","NA","NAM",516,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",8.924408702,8.096973224,8.019171996,6.948890085,7.688909822,7.237895005,7.590231956,7.519842828,7.552968447,7.652528752,7.542366094,8.178169794,8.760149494,6.458603368,7.564016638,7.551403362,8.387749455,9.474099375,10.94452139,8.792258061,8.429825071,8.089316006,8.61090885,8.040537518,8.083384209,7.996485243,7.951331776,7.161823775,7.362476481,7.32360821,6.974844832,6.995274579],
    [1547,"Africa","Namibia","NA","NAM",516,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",10.39426155,9.493204965,9.966920811,11.07547413,10.45021353,10.12625338,7.788658407,8.643648833,9.533699533,8.773820312,9.73959016,9.622780593,9.42146187,11.39438804,10.59196078,10.48802863,12.59306201,13.47269171,11.27254897,12.86482256,12.29938679,13.45726237,12.19000589,10.31825878,9.908565291,11.41718482,11.67878853,12.22004344,12.29883482,12.52140608,11.05234643,10.98902152],
    [1548,"Africa","Namibia","NA","NAM",516,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",53.77713762,56.24254884,58.89231005,60.65753121,56.35389699,58.71269541,60.11078617,60.28659886,59.21883054,59.50235937,56.90228679,56.16724411,54.25894647,59.01445862,57.77621039,56.48927253,52.59721859,49.66429649,48.36220029,52.61025866,53.95576856,54.16116241,53.92279235,57.73866377,57.70234633,57.94293265,57.7470985,58.61832902,57.84543803,58.42451269,58.83710928,58.62819931],
    [1549,"Africa","Namibia","NA","NAM",516,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E",8.924408702,8.096973224,8.019171996,6.948890085,7.688909822,7.237895005,7.590231956,7.519842828,7.552968447,7.652528752,7.542366094,8.178169794,8.760149494,6.458603368,7.564016638,7.551403362,8.387749455,9.474099375,10.94452139,8.792258061,8.429825071,8.089316006,8.61090885,8.040537518,8.083384209,7.996485243,7.951331776,7.161823775,7.362476481,7.32360821,6.974844832,6.995274579],
    [1550,"Africa","Namibia","NA","NAM",516,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",2.04745994,8.165612503,7.189342523,-1.579539159,1.729879488,3.899014221,3.191324301,4.220100304,3.291585621,3.369278424,3.492183364,1.177948695,4.788661219,4.239794296,12.2695481,2.529262658,7.073175318,5.374044152,2.649812038,0.295970914,6.03924948,5.091338139,5.06168207,5.614719623,6.09251916,4.264174538,0.03379445,-1.027250827,1.059943471,-0.922335257,-7.865936625,2.430639858],
    [1551,"Africa","Namibia","NA","NAM",516,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","The World Bank (2014). World Development Indicators (WDI). Available at: https://drcongo.opendataforafrica.org/fiyipde/world-development-indicators-wdi-november-2014","A",null,null,null,null,null,null,null,null,null,null,83,73,47,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1552,"Africa","Namibia","NA","NAM",516,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,14302.8231,13198.2,null,null],
    [1553,"Africa","Namibia","NA","NAM",516,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.000587,218.2,null,null],
    [1554,"Africa","Namibia","NA","NAM",516,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",67.343,58.558,46.143,24.2,34.7,48.5,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1555,"Africa","Namibia","NA","NAM",516,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1575.16764,1647.07277,328.36748,null,null],
    [1556,"Africa","Namibia","NA","NAM",516,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","The World Bank (2018). World Development Indicators (WDI). Availablet at: https://namibia.opendataforafrica.org/ywgvdde/world-development-indicators-wdi","A",null,null,null,null,null,null,null,null,null,null,461,555,591,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1557,"Africa","Namibia","NA","NAM",516,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3355.68,3195.2,null,null],
    [1558,"Africa","Namibia","NA","NAM",516,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,705.049293,852.2,null,null],
    [1559,"Africa","Namibia","NA","NAM",516,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",1634.86,1198.45,1225.72,1074.9,1076.5,1081.6,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1560,"Africa","Namibia","NA","NAM",516,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",null,2,11,22,25,27,29,35,null,37,76,75,21,46,56,0,0,null,null,0,0,1,1,1,34,30,21,22,26,7,2,null],
    [1561,"Africa","Namibia","NA","NAM",516,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",null,2,11.1,21.8,25.4,27.3,28.7,35.3,null,36.7,76.01,74.74,21.06,45.68,56.48,0,0,null,null,0,0.48,0.69,0.89,0.68,3.45,null,null,null,null,null,null,null],
    [1562,"Africa","Namibia","NA","NAM",516,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,22.206886,26.293869,6.900144,null,null],
    [1563,"Africa","Namibia","NA","NAM",516,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,337350,355334,null,363375,377435,null,null],
    [1564,"Africa","Namibia","NA","NAM",516,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,5538,5395,null,3949,5153,null,null],
    [1565,"Africa","Namibia","NA","NAM",516,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,161309,166783,null,173789,179294,null,null],
    [1566,"Africa","Namibia","NA","NAM",516,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1991,2060,null,7899,5405,null,null],
    [1567,"Africa","Namibia","NA","NAM",516,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,154829,159738,null,165889,167684,null,null],
    [1568,"Africa","Namibia","NA","NAM",516,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,13683,21358,null,11849,19899,null,null],
    [1569,"Africa","Namibia","NA","NAM",516,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [1570,"Africa","Namibia","NA","NAM",516,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [1571,"Africa","Namibia","NA","NAM",516,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [1572,"Africa","Namibia","NA","NAM",516,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [1573,"Africa","Namibia","NA","NAM",516,"Load factor","Road","Car","All","Urban","NRG_LF_CARURB","passenger/vehicle","Merven, B., Stone, A., Hughes, A. and Cohen, B. (2012). Quantifying the energy needs of the transport sector for South Africa: A bottom-up model. University of Cape Town, Cape Town. Available at: https://open.uct.ac.za/handle/11427/16905","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.3,null,null,null,null,null,null,null,null,null,null,null],
    [1574,"Africa","Namibia","NA","NAM",516,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1575,"Africa","Namibia","NA","NAM",516,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1576,"Africa","Namibia","NA","NAM",516,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1577,"Africa","Namibia","NA","NAM",516,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [1578,"Africa","Niger","NE","NER",562,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",8.026592,8.288739,8.566773,8.860297,9.168316,9.490289,9.8266,10.178196,10.54572,10.929922,11.331561,11.751364,12.189988,12.647983,13.125914,13.624474,14.143969,14.685404,15.250913,15.843131,16.464025,17.11477,17.795209,18.504287,19.240182,20.001663,20.788789,21.602388,22.442831,23.310719,24.206636,25.13081],
    [1579,"Africa","Niger","NE","NER",562,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",15.368,15.449,15.529,15.61,15.691,15.773,15.855,15.937,16.02,16.103,16.186,16.26,16.255,16.251,16.247,16.242,16.238,16.234,16.229,16.225,16.221,16.216,16.212,16.208,16.219,16.247,16.29,16.35,16.425,16.517,16.626,16.751],
    [1580,"Africa","Niger","NE","NER",562,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",84.632,84.551,84.471,84.39,84.309,84.227,84.145,84.063,83.98,83.897,83.814,83.74,83.745,83.749,83.753,83.758,83.762,83.766,83.771,83.775,83.779,83.784,83.788,83.792,83.781,83.753,83.71,83.65,83.575,83.483,83.374,83.249],
    [1581,"Africa","Niger","NE","NER",562,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",3.11725863,3.21378172,3.299326901,3.368916989,3.417334159,3.451543817,3.48239291,3.515479083,3.54723052,3.578407544,3.608767553,3.637747759,3.664564012,3.688279674,3.709068833,3.727929015,3.742057985,3.756576119,3.778529478,3.809666088,3.844166656,3.876413583,3.898743038,3.90731712,3.899846968,3.881451544,3.859843092,3.839001312,3.816736721,3.794206636,3.771351275,3.746777298],
    [1582,"Africa","Niger","NE","NER",562,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",3860.672825,3843.705589,3920.608619,3933.219471,4006.171992,4104.613418,4108.739806,4171.499809,4587.507423,4577.434976,4522.117693,4850.791308,5089.376051,5199.846576,5218.7637,5601.396609,5933.618241,6120.095491,6593.265425,6722.664912,7299.346317,7471.447161,8259.605981,8698.614829,9276.388713,9683.867894,10239.8084,10751.93808,11527.23915,12212.11818,12649.31279,12820.3383],
    [1583,"Africa","Niger","NE","NER",562,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",29.44224837,31.58085187,33.15940978,34.07709255,31.16929417,30.73058097,32.32870033,30.23252473,35.41378097,35.00259458,36.57556007,40.18192773,41.36693517,41.1955263,37.37172856,39.28052013,39.74507858,37.09450644,38.77500623,34.78481027,35.82138796,33.64676428,33.68099382,32.23501073,33.42904423,32.41699527,35.26295821,35.81687722,37.66166253,36.91488244,38.38472532,36.37185669],
    [1584,"Africa","Niger","NE","NER",562,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E",6.458563757,6.006430349,5.361750678,4.681802041,5.394109416,4.818525159,4.997162887,4.969027934,4.6768289,4.233060464,4.604873414,4.526141936,4.564191987,4.570555801,4.951237209,4.795094092,4.895519699,5.953150398,6.609535489,6.960546578,7.384618593,7.666596051,7.94912803,7.922111573,7.006263998,7.14223999,6.330420194,6.266764104,6.106195899,6.360492923,6.04093453,6.6212919],
    [1585,"Africa","Niger","NE","NER",562,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",6.458563757,6.006430349,5.361750678,4.681802041,5.394109416,4.818525159,4.997162887,4.969027934,4.6768289,4.233060464,4.604873414,4.526141936,4.564191987,4.570555801,4.951237209,4.795094092,4.895519699,5.953150398,6.609535489,6.960546578,7.384618593,7.666596051,7.94912803,7.922111573,7.006263998,7.14223999,6.330420194,6.266764104,6.106195899,6.360492923,6.04093453,6.6212919],
    [1586,"Africa","Niger","NE","NER",562,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",10.46973578,9.671042509,9.835534057,9.901584805,9.01062419,9.59371956,9.526001129,9.490635336,9.165276054,9.633788329,9.246691393,8.869705096,8.774597662,9.11498221,9.391010597,8.414737026,8.124409132,7.682460338,7.112263705,7.424792627,6.917205465,6.681176806,7.516576093,8.014047553,8.483204639,7.625755954,7.473406569,7.567788495,7.398878745,7.330979715,7.318952243,7.39668436],
    [1587,"Africa","Niger","NE","NER",562,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",40.71232458,40.72881457,40.91980413,41.97591652,43.63775339,45.220124,43.15380988,45.36975613,41.39045627,42.6644357,40.36312829,37.36994136,36.1658912,35.97782409,38.38354922,37.91946057,37.44395319,37.36358203,34.28412359,36.90875736,35.1075508,36.67227076,34.95504599,35.984607,37.06895913,38.5305288,38.27237464,37.81504197,36.62087102,36.67265908,36.17351885,36.36758325],
    [1588,"Africa","Niger","NE","NER",562,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E",6.458563757,6.006430349,5.361750678,4.681802041,5.394109416,4.818525159,4.997162887,4.969027934,4.6768289,4.233060464,4.604873414,4.526141936,4.564191987,4.570555801,4.951237209,4.795094092,4.895519699,5.953150398,6.609535489,6.960546578,7.384618593,7.666596051,7.94912803,7.922111573,7.006263998,7.14223999,6.330420194,6.266764104,6.106195899,6.360492923,6.04093453,6.6212919],
    [1589,"Africa","Niger","NE","NER",562,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",-1.308478285,-0.4394891,2.000752361,0.321655474,1.854778791,2.457244122,0.100530504,1.527475711,9.972614956,-0.219562518,-1.208477741,7.268134902,4.918470576,2.170610384,0.363801579,7.331868843,5.931049974,3.142724084,7.731414228,1.962600907,8.578166743,2.357756936,10.54894458,5.315130634,6.642136655,4.392648832,5.740893151,5.001359945,7.210803008,5.941396863,3.580006403,1.352053749],
    [1590,"Africa","Niger","NE","NER",562,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,6271.558278,9917.981818,null,null],
    [1591,"Africa","Niger","NE","NER",562,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,10.055943,78.45454545,null,null],
    [1592,"Africa","Niger","NE","NER",562,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,8.719801,null,null,null,null],
    [1593,"Africa","Niger","NE","NER",562,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1342.4,2264.4,null,null],
    [1594,"Africa","Niger","NE","NER",562,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",17.70000076,16.10000038,15.19999981,14.19999981,14.39999962,15.30000019,16.39999962,15.30000019,13.5,13.69999981,12.273,7.364,null,null,null,null,null,null,null,null,0,0,1.46578302,1.080708,null,null,null,null,null,null,null,0.75585912],
    [1595,"Africa","Niger","NE","NER",562,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,11.044011,21,null,null],
    [1596,"Africa","Niger","NE","NER",562,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,398691,436520,470506,490014,522578,557637,null],
    [1597,"Africa","Niger","NE","NER",562,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,140870,157194,170212,177319,190045,202914,null],
    [1598,"Africa","Niger","NE","NER",562,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,183074,198666,214152,223666,237946,254288,null],
    [1599,"Africa","Niger","NE","NER",562,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,10112,10679,11375,11768,12481,12982,null],
    [1600,"Africa","Niger","NE","NER",562,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,29966,33074,35397,36786,39419,41524,null],
    [1601,"Africa","Niger","NE","NER",562,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,34669,36907,39370,40475,42687,45929,null],
    [1602,"Africa","Niger","NE","NER",562,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [1603,"Africa","Niger","NE","NER",562,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [1604,"Africa","Niger","NE","NER",562,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [1605,"Africa","Niger","NE","NER",562,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [1606,"Africa","Niger","NE","NER",562,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1607,"Africa","Niger","NE","NER",562,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1608,"Africa","Niger","NE","NER",562,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1609,"Africa","Niger","NE","NER",562,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [1610,"Africa","Nigeria","NG","NGA",566,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",95.212454,97.667632,100.161708,102.700751,105.293701,107.948339,110.668784,113.457661,116.319763,119.260055,122.283853,125.394046,128.596079,131.900634,135.32042,138.865014,142.538305,146.339971,150.269622,154.324939,158.503203,162.80508,167.228803,171.765819,176.404931,181.137454,185.960244,190.873247,195.874685,200.963603,206.139587,211.400704],
    [1611,"Africa","Nigeria","NG","NGA",566,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",29.68,30.176,30.677,31.182,31.691,32.205,32.725,33.247,33.773,34.304,34.84,35.669,36.508,37.356,38.212,39.074,39.943,40.819,41.702,42.588,43.48,44.366,45.246,46.118,46.982,47.838,48.683,49.519,50.344,51.157,51.958,52.746],
    [1612,"Africa","Nigeria","NG","NGA",566,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",70.32,69.824,69.323,68.818,68.309,67.795,67.275,66.753,66.227,65.696,65.16,64.331,63.492,62.644,61.788,60.926,60.057,59.181,58.298,57.412,56.52,55.634,54.754,53.882,53.018,52.162,51.317,50.481,49.656,48.843,48.042,47.254],
    [1613,"Africa","Nigeria","NG","NGA",566,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",2.579301117,2.545945169,2.521575566,2.503346955,2.493416832,2.48991723,2.488904251,2.48879239,2.491323981,2.496346857,2.50385613,2.511614083,2.521517444,2.537254494,2.559658128,2.585689132,2.610843162,2.632171268,2.649867728,2.662921245,2.67144283,2.67788557,2.680929555,2.67690791,2.665006503,2.647406072,2.627675151,2.607667054,2.586551303,2.564871955,2.542973405,2.52018575],
    [1614,"Africa","Nigeria","NG","NGA",566,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",151245.2026,151787.1937,158816.7515,155584.642,152760.8982,152649.8949,159054.9685,163726.5711,167952.7699,168933.8272,177407.4378,187905.8505,216710.2309,232632.3541,254152.1455,270515.7734,286907.482,305817.9281,326504.8986,352745.8528,380985.472,401207.8921,418179.2314,446077.3705,474223.5975,486803.2951,478932.3238,482791.9753,492074.8934,502942.0194,493917.9668,511932.0764],
    [1615,"Africa","Nigeria","NG","NGA",566,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",21.55626328,20.88528311,20.32115887,23.49113048,25.17384878,25.48650645,26.1991592,27.41665114,27.90837138,26.02848571,21.3572413,24.47535466,36.96508267,33.82706055,27.2304536,26.08928283,24.73499126,24.66257721,25.27975078,26.74885451,23.89370409,22.23471099,21.85995862,20.75862283,19.99025477,20.63189348,20.98310971,20.84657143,21.20377372,21.90629593,24.14330587,23.35705876],
    [1616,"Africa","Nigeria","NG","NGA",566,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E",6.204577444,6.151869176,7.012915195,5.260838663,3.793779878,5.846784907,6.447177885,5.683629578,4.086726831,4.708553714,6.970301122,5.125602006,4.084390594,4.988940469,6.184319409,6.388476039,5.974445805,5.657890694,5.85865884,4.810445497,6.254878421,7.117057732,6.74320341,5.981948908,5.406935205,3.939149093,3.517364944,4.868912729,5.710075955,5.61370949,5.6011005,6.081282136],
    [1617,"Africa","Nigeria","NG","NGA",566,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",6.204577444,6.151869176,7.012915195,5.260838663,3.793779878,5.846784907,6.447177885,5.683629578,4.086726831,4.708553714,6.970301122,5.125602006,4.084390594,4.988940469,6.184319409,6.388476039,5.974445805,5.657890694,5.85865884,4.810445497,6.254878421,7.117057732,6.74320341,5.981948908,5.406935205,3.939149093,3.517364944,4.868912729,5.710075955,5.61370949,5.6011005,6.081282136],
    [1618,"Africa","Nigeria","NG","NGA",566,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",17.78259534,19.49458715,17.65449303,18.37625,20.92708023,19.99371557,19.10108021,19.19853144,17.45056588,16.25736913,13.93340041,13.9253596,11.81181308,12.06060684,10.86156992,10.06108332,8.852872608,8.401379657,8.168912972,7.838411937,6.552816976,7.171084296,7.724546672,8.928929322,9.635811603,9.428437322,8.679697782,8.741993492,9.648947481,11.5223587,12.66726516,14.61070297],
    [1619,"Africa","Nigeria","NG","NGA",566,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",42.04740905,41.16452222,40.98560251,42.35010353,42.51773136,36.97942326,35.35822694,36.33392868,42.38088225,43.58848402,43.79845492,46.22247972,38.96993247,39.1455112,43.35501825,44.68420574,48.48879872,49.96237105,48.97535973,50.98139707,50.78884367,49.24303152,50.18588448,52.36660112,54.15312801,58.12222192,59.78509768,55.80469689,52.01705093,49.7302169,46.38612747,43.78839186],
    [1620,"Africa","Nigeria","NG","NGA",566,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E",6.204577444,6.151869176,7.012915195,5.260838663,3.793779878,5.846784907,6.447177885,5.683629578,4.086726831,4.708553714,6.970301122,5.125602006,4.084390594,4.988940469,6.184319409,6.388476039,5.974445805,5.657890694,5.85865884,4.810445497,6.254878421,7.117057732,6.74320341,5.981948908,5.406935205,3.939149093,3.517364944,4.868912729,5.710075955,5.61370949,5.6011005,6.081282136],
    [1621,"Africa","Nigeria","NG","NGA",566,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",11.77688593,0.358352603,4.631192947,-2.035118776,-1.814924483,-0.072664767,4.195924045,2.93709942,2.581254103,0.584126895,5.015934757,5.917684652,15.32915574,7.34719497,9.250558228,6.438516525,6.059428031,6.591130361,6.764472778,8.036925102,8.005655915,5.307924204,4.230061175,6.671335393,6.309718656,2.652693295,-1.61686895,0.80588662,1.922757342,2.208429277,-1.794253082,3.647186541],
    [1622,"Africa","Nigeria","NG","NGA",566,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,217953.9439,null,null,null],
    [1623,"Africa","Nigeria","NG","NGA",566,"Passenger activity","Road","Motorcycle","All","All","ROAD_PA_MOTORC","million passenger-km","Dioha, M. and Kumar, A. (2020), Sustainable energy pathways for land transport in Nigeria, Utilities Policy, Volume 64, 101034, ISSN 0957-1787, https://doi.org/10.1016/j.jup.2020.101034. Available at: https://www.sciencedirect.com/science/article/abs/pii/S0957178720300291?via%3Dihub","I, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,43300,null,null,null,null,68200,null,null,null,null,93200,null],
    [1624,"Africa","Nigeria","NG","NGA",566,"Passenger activity","Road","Motorcycle","Gasoline","All","ROAD_PA_MOTORCGAS","million passenger-km","Federal Republic of Nigeria (2020). Third National Communication of the Federal Republic of Nigeria. Available at: https://unfccc.int/sites/default/files/resource/NIGERIA_NC3_18Apr2020_FINAL.pdf","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,28192.8,null,null,null,null,null],
    [1625,"Africa","Nigeria","NG","NGA",566,"Passenger activity","Road","Car","All","All","ROAD_PA_CAR","million passenger-km","Dioha, M. and Kumar, A. (2020), Sustainable energy pathways for land transport in Nigeria, Utilities Policy, Volume 64, 101034, ISSN 0957-1787, https://doi.org/10.1016/j.jup.2020.101034. Available at: https://www.sciencedirect.com/science/article/abs/pii/S0957178720300291?via%3Dihub","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,346600,null,null,null,null,485400,null,null,null,null,625600,null],
    [1626,"Africa","Nigeria","NG","NGA",566,"Passenger activity","Road","Car","Diesel","All","ROAD_PA_CARDIE","million passenger-km","Federal Republic of Nigeria (2020). Third National Communication of the Federal Republic of Nigeria. Available at: https://unfccc.int/sites/default/files/resource/NIGERIA_NC3_18Apr2020_FINAL.pdf","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3438.416,null,null,null,null,null],
    [1627,"Africa","Nigeria","NG","NGA",566,"Passenger activity","Road","Car","Gasoline","All","ROAD_PA_CARGAS","million passenger-km","Federal Republic of Nigeria (2020). Third National Communication of the Federal Republic of Nigeria. Available at: https://unfccc.int/sites/default/files/resource/NIGERIA_NC3_18Apr2020_FINAL.pdf","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,168482.384,null,null,null,null,null],
    [1628,"Africa","Nigeria","NG","NGA",566,"Passenger activity","Road","Minibus","All","All","ROAD_PA_MINIBU","million passenger-km","Dioha, M. and Kumar, A. (2020), Sustainable energy pathways for land transport in Nigeria, Utilities Policy, Volume 64, 101034, ISSN 0957-1787, https://doi.org/10.1016/j.jup.2020.101034. Available at: https://www.sciencedirect.com/science/article/abs/pii/S0957178720300291?via%3Dihub","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2600,null,null,null,null,4500,null,null,null,null,6300,null],
    [1629,"Africa","Nigeria","NG","NGA",566,"Passenger activity","Road","Bus","All","All","ROAD_PA_BUS","million passenger-km","Dioha, M. and Kumar, A. (2020), Sustainable energy pathways for land transport in Nigeria, Utilities Policy, Volume 64, 101034, ISSN 0957-1787, https://doi.org/10.1016/j.jup.2020.101034. Available at: https://www.sciencedirect.com/science/article/abs/pii/S0957178720300291?via%3Dihub","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,12000,null,null,null,null,20200,null,null,null,null,28400,null],
    [1630,"Africa","Nigeria","NG","NGA",566,"Passenger activity","Road","Bus","Diesel","All","ROAD_PA_BUSDIE","million passenger-km","Federal Republic of Nigeria (2020). Third National Communication of the Federal Republic of Nigeria. Available at: https://unfccc.int/sites/default/files/resource/NIGERIA_NC3_18Apr2020_FINAL.pdf","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,24876,null,null,null,null,null],
    [1631,"Africa","Nigeria","NG","NGA",566,"Passenger activity","Road","Bus","Gasoline","All","ROAD_PA_BUSGAS","million passenger-km","Federal Republic of Nigeria (2020). Third National Communication of the Federal Republic of Nigeria. Available at: https://unfccc.int/sites/default/files/resource/NIGERIA_NC3_18Apr2020_FINAL.pdf","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,24876,null,null,null,null,null],
    [1632,"Africa","Nigeria","NG","NGA",566,"Passenger activity","Road","Light-duty vehicle","Diesel","All","ROAD_PA_LDVDIE","million passenger-km","Federal Republic of Nigeria (2020). Third National Communication of the Federal Republic of Nigeria. Available at: https://unfccc.int/sites/default/files/resource/NIGERIA_NC3_18Apr2020_FINAL.pdf","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,227200.8,null,null,null,null,null],
    [1633,"Africa","Nigeria","NG","NGA",566,"Passenger activity","Road","Light-duty vehicle","Gasoline","All","ROAD_PA_LDVGAS","million passenger-km","Federal Republic of Nigeria (2020). Third National Communication of the Federal Republic of Nigeria. Available at: https://unfccc.int/sites/default/files/resource/NIGERIA_NC3_18Apr2020_FINAL.pdf","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,75733.6,null,null,null,null,null],
    [1634,"Africa","Nigeria","NG","NGA",566,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","Dioha, M. and Kumar, A. (2020), Sustainable energy pathways for land transport in Nigeria, Utilities Policy, Volume 64, 101034, ISSN 0957-1787, https://doi.org/10.1016/j.jup.2020.101034. Available at: https://www.sciencedirect.com/science/article/abs/pii/S0957178720300291?via%3Dihub","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,800,null,null,null,null,1900,null,null,null,null,3000,null],
    [1635,"Africa","Nigeria","NG","NGA",566,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","The World Bank (2023). Railways, passengers carried (million passenger-km). Available at: https://data.worldbank.org/indicator/IS.RRS.PASG.KM","A",1269,689,105,null,471,null,null,479,null,null,null,null,593,973,493.825,173.632,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1636,"Africa","Nigeria","NG","NGA",566,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,190.678102,null,null,null],
    [1637,"Africa","Nigeria","NG","NGA",566,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UIC (2023). International Railway Statistics, Traffic on the national Territory - PKm, VAR 5113, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,593,973,493.825,173.632,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1638,"Africa","Nigeria","NG","NGA",566,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",1269,689,105,9012,471,743,834,212,6,739,363,279,459,496,973,174,174,174,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1639,"Africa","Nigeria","NG","NGA",566,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2960.165995,4087.958793,null,null,null],
    [1640,"Africa","Nigeria","NG","NGA",566,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,73112.17305,null,null,null],
    [1641,"Africa","Nigeria","NG","NGA",566,"Freight activity","Road","Heavy-duty vehicle","Diesel","All","ROAD_GO_HDVDIE","milion ton-km","Dioha, M. and Kumar, A. (2020), Sustainable energy pathways for land transport in Nigeria, Utilities Policy, Volume 64, 101034, ISSN 0957-1787, https://doi.org/10.1016/j.jup.2020.101034. Available at: https://www.sciencedirect.com/science/article/abs/pii/S0957178720300291?via%3Dihub","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,67300,null,null,null,null,131100,null,null,null,null,191400,null],
    [1642,"Africa","Nigeria","NG","NGA",566,"Freight activity","Road","Heavy-duty vehicle","Diesel","All","ROAD_GO_HDVDIE","milion ton-km","Federal Republic of Nigeria (2020). Third National Communication of the Federal Republic of Nigeria. Available at: https://unfccc.int/sites/default/files/resource/NIGERIA_NC3_18Apr2020_FINAL.pdf","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,69246.9735,null,null,null,null,null],
    [1643,"Africa","Nigeria","NG","NGA",566,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","The World Bank (2023). Railways, goods transported (million ton-km). Available at: https://data.worldbank.org/indicator/IS.RRS.GOOD.MT.K6","A",178.2,213.3,183.6,95.4,95.4,null,null,480,null,54,null,null,44,39,57.214,76.926,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1644,"Africa","Nigeria","NG","NGA",566,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","Dioha, M. and Kumar, A. (2020), Sustainable energy pathways for land transport in Nigeria, Utilities Policy, Volume 64, 101034, ISSN 0957-1787, https://doi.org/10.1016/j.jup.2020.101034. Available at: https://www.sciencedirect.com/science/article/abs/pii/S0957178720300291?via%3Dihub","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,700,null,null,null,null,3000,null,null,null,null,6900,null],
    [1645,"Africa","Nigeria","NG","NGA",566,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,12155.95832,null,null,null],
    [1646,"Africa","Nigeria","NG","NGA",566,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UIC (2023). International Railway Statistics, Traffic on the national Territory - PKm, VAR 5113, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,39,null,77,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1647,"Africa","Nigeria","NG","NGA",566,"Freight activity","Rail","All","Diesel","All","RAIL_GO_DIE","milion ton-km","Federal Republic of Nigeria (2020). Third National Communication of the Federal Republic of Nigeria. Available at: https://unfccc.int/sites/default/files/resource/NIGERIA_NC3_18Apr2020_FINAL.pdf","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,104.0265,null,null,null,null,null],
    [1648,"Africa","Nigeria","NG","NGA",566,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,22.001546,19.422093,null,null,null],
    [1649,"Africa","Nigeria","NG","NGA",566,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",23.5,27.5,10.30000019,9.800000191,7.199999809,1.899999976,4.699999809,5,27,9.699999809,8.824,2.792,8.724,9.996,9.809,10.029,11.269,10.036,10.036,7.966,0,0,0,12.19835218,12.19835218,24.80196393,24.16193086,22.00154607,19.79297207,1.84341946,1.683881,1.56490641],
    [1650,"Africa","Nigeria","NG","NGA",566,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,5144.634971,null,null,null],
    [1651,"Africa","Nigeria","NG","NGA",566,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","Dioha, M. O. et al. (2022). Exploring the role of electric vehicles in Africa's energy transition: A Nigerian case study, iScience, Volume 25, Issue 3, 103926. Available at: https://www.cell.com/iscience/fulltext/S2589-0042(22)00196-1","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1652,"Africa","Nigeria","NG","NGA",566,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","National Bureau of Statistics, Nigeria (2017). Road Transport Data (Q2 2017). Available at: https://www.nigerianstat.gov.ng/pdfuploads/Road_Transport_Data_%E2%80%93_Q2_2017_.pdf; National Bureau of Statistics, Nigeria (2018). Road Transport Data (Q2 2018). Available at: https://nigerianstat.gov.ng/elibrary/read/813","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,11503410,11583331,11760871,null,null,null],
    [1653,"Africa","Nigeria","NG","NGA",566,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,11733425,null,null,null,null,null],
    [1654,"Africa","Nigeria","NG","NGA",566,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","Dioha, M. O. et al. (2022). Exploring the role of electric vehicles in Africa's energy transition: A Nigerian case study, iScience, Volume 25, Issue 3, 103926. Available at: https://www.cell.com/iscience/fulltext/S2589-0042(22)00196-1","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3322888,null,null,null,null,5240981,null,null,null,null,7159073,null],
    [1655,"Africa","Nigeria","NG","NGA",566,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1302410,null,null,null,null,null],
    [1656,"Africa","Nigeria","NG","NGA",566,"Vehicle stock","Road","Motorcycle","Gasoline","All","ROAD_EQS_MOTORCGAS","n","Dioha, M. O. et al. (2022). Exploring the role of electric vehicles in Africa's energy transition: A Nigerian case study, iScience, Volume 25, Issue 3, 103926. Available at: https://www.cell.com/iscience/fulltext/S2589-0042(22)00196-1","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,5240981,null,null,null,null,null,null],
    [1657,"Africa","Nigeria","NG","NGA",566,"Vehicle stock","Road","Motorcycle","Electric","All","ROAD_EQS_MOTORCELE","n","Dioha, M. O. et al. (2022). Exploring the role of electric vehicles in Africa's energy transition: A Nigerian case study, iScience, Volume 25, Issue 3, 103926. Available at: https://www.cell.com/iscience/fulltext/S2589-0042(22)00196-1","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,null,null,null,null,null,null],
    [1658,"Africa","Nigeria","NG","NGA",566,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","Dioha, M. O. et al. (2022). Exploring the role of electric vehicles in Africa's energy transition: A Nigerian case study, iScience, Volume 25, Issue 3, 103926. Available at: https://www.cell.com/iscience/fulltext/S2589-0042(22)00196-1","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,4650509,null,null,null,null,6512268,null,null,null,null,8374026,null],
    [1659,"Africa","Nigeria","NG","NGA",566,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,6732639,null,null,null,null,null],
    [1660,"Africa","Nigeria","NG","NGA",566,"Vehicle stock","Road","Car","Gasoline","All","ROAD_EQS_CARGAS","n","Dioha, M. O. et al. (2022). Exploring the role of electric vehicles in Africa's energy transition: A Nigerian case study, iScience, Volume 25, Issue 3, 103926. Available at: https://www.cell.com/iscience/fulltext/S2589-0042(22)00196-1","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,6382022,null,null,null,null,null,null],
    [1661,"Africa","Nigeria","NG","NGA",566,"Vehicle stock","Road","Car","Diesel","All","ROAD_EQS_CARDIE","n","Dioha, M. O. et al. (2022). Exploring the role of electric vehicles in Africa's energy transition: A Nigerian case study, iScience, Volume 25, Issue 3, 103926. Available at: https://www.cell.com/iscience/fulltext/S2589-0042(22)00196-1","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,130245,null,null,null,null,null,null],
    [1662,"Africa","Nigeria","NG","NGA",566,"Vehicle stock","Road","Car","Electric","All","ROAD_EQS_CARELE","n","Dioha, M. O. et al. (2022). Exploring the role of electric vehicles in Africa's energy transition: A Nigerian case study, iScience, Volume 25, Issue 3, 103926. Available at: https://www.cell.com/iscience/fulltext/S2589-0042(22)00196-1","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,null,null,null,null,null,null],
    [1663,"Africa","Nigeria","NG","NGA",566,"Vehicle stock","Road","Minibus","All","All","ROAD_EQS_MINIBU","n","Dioha, M. O. et al. (2022). Exploring the role of electric vehicles in Africa's energy transition: A Nigerian case study, iScience, Volume 25, Issue 3, 103926. Available at: https://www.cell.com/iscience/fulltext/S2589-0042(22)00196-1","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,5344,null,null,null,null,12650,null,null,null,null,8997,null],
    [1664,"Africa","Nigeria","NG","NGA",566,"Vehicle stock","Road","Minibus","Gasoline","All","ROAD_EQS_MINIBUGAS","n","Dioha, M. O. et al. (2022). Exploring the role of electric vehicles in Africa's energy transition: A Nigerian case study, iScience, Volume 25, Issue 3, 103926. Available at: https://www.cell.com/iscience/fulltext/S2589-0042(22)00196-1","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,8817,null,null,null,null,null,null],
    [1665,"Africa","Nigeria","NG","NGA",566,"Vehicle stock","Road","Minibus","Diesel","All","ROAD_EQS_MINIBUDIE","n","Dioha, M. O. et al. (2022). Exploring the role of electric vehicles in Africa's energy transition: A Nigerian case study, iScience, Volume 25, Issue 3, 103926. Available at: https://www.cell.com/iscience/fulltext/S2589-0042(22)00196-1","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,180,null,null,null,null,null,null],
    [1666,"Africa","Nigeria","NG","NGA",566,"Vehicle stock","Road","Minibus","Electric","All","ROAD_EQS_MINIBUELE","n","Dioha, M. O. et al. (2022). Exploring the role of electric vehicles in Africa's energy transition: A Nigerian case study, iScience, Volume 25, Issue 3, 103926. Available at: https://www.cell.com/iscience/fulltext/S2589-0042(22)00196-1","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,null,null,null,null,null,null],
    [1667,"Africa","Nigeria","NG","NGA",566,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2372499,null,null,null,null,null],
    [1668,"Africa","Nigeria","NG","NGA",566,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","Dioha, M. O. et al. (2022). Exploring the role of electric vehicles in Africa's energy transition: A Nigerian case study, iScience, Volume 25, Issue 3, 103926. Available at: https://www.cell.com/iscience/fulltext/S2589-0042(22)00196-1","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,557301,null,null,null,null,938318,null,null,null,null,1319334,null],
    [1669,"Africa","Nigeria","NG","NGA",566,"Vehicle stock","Road","Light-duty vehicle","All","Diesel","ROAD_EQS_LDVDIE","n","Dioha, M. O. et al. (2022). Exploring the role of electric vehicles in Africa's energy transition: A Nigerian case study, iScience, Volume 25, Issue 3, 103926. Available at: https://www.cell.com/iscience/fulltext/S2589-0042(22)00196-1","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,18766,null,null,null,null,null,null],
    [1670,"Africa","Nigeria","NG","NGA",566,"Vehicle stock","Road","Light-duty vehicle","All","Electric","ROAD_EQS_LDVELE","n","Dioha, M. O. et al. (2022). Exploring the role of electric vehicles in Africa's energy transition: A Nigerian case study, iScience, Volume 25, Issue 3, 103926. Available at: https://www.cell.com/iscience/fulltext/S2589-0042(22)00196-1","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,null,null,null,null,null,null],
    [1671,"Africa","Nigeria","NG","NGA",566,"Vehicle stock","Road","Light-duty vehicle","All","Gasoline","ROAD_EQS_LDVGAS","n","Dioha, M. O. et al. (2022). Exploring the role of electric vehicles in Africa's energy transition: A Nigerian case study, iScience, Volume 25, Issue 3, 103926. Available at: https://www.cell.com/iscience/fulltext/S2589-0042(22)00196-1","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1672,"Africa","Nigeria","NG","NGA",566,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1325877,null,null,null,null,null],
    [1673,"Africa","Nigeria","NG","NGA",566,"Vehicle stock","Road","Private","All","All","ROAD_EQS_PRIVAT","n","National Bureau of Statistics, Nigeria (2017). Road Transport Data (Q2 2017). Available at: https://www.nigerianstat.gov.ng/pdfuploads/Road_Transport_Data_%E2%80%93_Q2_2017_.pdf; National Bureau of Statistics, Nigeria (2018). Road Transport Data (Q2 2018). Available at: https://nigerianstat.gov.ng/elibrary/read/813","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,4628060,4682309,4819251,null,null,null],
    [1674,"Africa","Nigeria","NG","NGA",566,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [1675,"Africa","Nigeria","NG","NGA",566,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [1676,"Africa","Nigeria","NG","NGA",566,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [1677,"Africa","Nigeria","NG","NGA",566,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [1678,"Africa","Nigeria","NG","NGA",566,"Load factor","Road","Car","All","Urban","NRG_LF_CARURB","passenger/vehicle","Merven, B., Stone, A., Hughes, A. and Cohen, B. (2012). Quantifying the energy needs of the transport sector for South Africa: A bottom-up model. University of Cape Town, Cape Town. Available at: https://open.uct.ac.za/handle/11427/16905","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.8,null,null,null,null,null,null,null,null,null,null,null],
    [1679,"Africa","Nigeria","NG","NGA",566,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1680,"Africa","Nigeria","NG","NGA",566,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1681,"Africa","Nigeria","NG","NGA",566,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1682,"Africa","Nigeria","NG","NGA",566,"Load factor","Road","Minibus","All","Urban","NRG_LF_MINIBUURB","passenger/vehicle","Merven, B., Stone, A., Hughes, A. and Cohen, B. (2012). Quantifying the energy needs of the transport sector for South Africa: A bottom-up model. University of Cape Town, Cape Town. Available at: https://open.uct.ac.za/handle/11427/16905","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,18,null,null,null,null,null,null,null,null,null,null,null],
    [1683,"Africa","Nigeria","NG","NGA",566,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [1684,"Africa","Nigeria","NG","NGA",566,"Load factor","Road","Bus","Diesel","Urban","NRG_LF_BUSDIEURB","passenger/vehicle","Merven, B., Stone, A., Hughes, A. and Cohen, B. (2012). Quantifying the energy needs of the transport sector for South Africa: A bottom-up model. University of Cape Town, Cape Town. Available at: https://open.uct.ac.za/handle/11427/16905","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,43,null,null,null,null,null,null,null,null,null,null,null],
    [1685,"Asia","Philippines","PH","PHL",608,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",61.895169,63.454785,65.020124,66.593904,68.180846,69.784087,71.401743,73.030879,74.672009,76.325927,77.991757,79.672869,81.36526,83.05197,84.710544,86.326251,87.888675,89.405482,90.901967,92.414161,93.966784,95.570049,97.212639,98.871558,100.513137,102.113206,103.663812,105.172921,106.651394,108.116622,109.581085,111.04691],
    [1686,"Asia","Philippines","PH","PHL",608,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",46.986,46.901,46.815,46.73,46.645,46.56,46.475,46.39,46.305,46.22,46.135,46.05,45.965,45.88,45.795,45.71,45.625,45.54,45.455,45.371,45.332,45.522,45.712,45.903,46.093,46.284,46.475,46.682,46.907,47.149,47.408,47.684],
    [1687,"Asia","Philippines","PH","PHL",608,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",53.014,53.099,53.185,53.27,53.355,53.44,53.525,53.61,53.695,53.78,53.865,53.95,54.035,54.12,54.205,54.29,54.375,54.46,54.545,54.629,54.668,54.478,54.288,54.097,53.907,53.716,53.525,53.318,53.093,52.851,52.592,52.316],
    [1688,"Asia","Philippines","PH","PHL",608,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",2.543416989,2.488547362,2.436921695,2.391621985,2.355063314,2.324232887,2.291627698,2.25600709,2.222295803,2.190737424,2.159045764,2.132597217,2.10192868,2.051815584,1.97735239,1.889365458,1.793722188,1.711104341,1.65996399,1.649858437,1.666113364,1.691811787,1.704125789,1.692087997,1.646682152,1.579362521,1.507102557,1.445277607,1.39596534,1.364496223,1.345429965,1.328794715],
    [1689,"Asia","Philippines","PH","PHL",608,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",107109.2024,106641.7885,107087.1556,109423.6795,114209.5057,119491.9524,126494.5965,133055.1271,132371.1032,136800.8375,142796.1408,147150.3257,152618.8071,160382.3902,170918.2759,179365.9204,188901.7604,201216.8169,209958.6559,212999.5356,228621.9864,237442.755,253819.0671,270953.2027,288153.2781,306446.1406,328355.3749,351113.6476,373379.4689,396224.7875,358510.9444,378957.3828],
    [1690,"Asia","Philippines","PH","PHL",608,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",19.15984289,18.33846147,19.10732173,18.9079535,19.26003585,18.92514588,18.0136454,16.44910207,14.74667331,15.19435542,13.94109439,13.3028093,13.44841341,13.15094766,13.98440369,13.517547,13.36124911,13.60650762,14.51607476,14.54021332,13.74886505,14.09573515,13.09580701,12.4734251,12.27168162,10.99649915,10.20512553,10.18295413,9.650140358,8.820323747,10.18531103,10.06845672],
    [1691,"Asia","Philippines","PH","PHL",608,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E",3.107119844,3.056904263,2.774688979,2.840619411,2.914510013,2.867062338,2.985795298,3.103598132,2.963353579,2.638124478,3.231906742,3.195356455,3.216008862,3.234563795,3.202232774,3.18125838,3.211133312,3.283316445,3.165540245,3.26130943,3.473451443,3.211451943,3.356974052,3.446982622,3.490786828,3.517976203,3.565204656,3.542116174,3.821830996,3.937017826,3.580579512,3.749858779],
    [1692,"Asia","Philippines","PH","PHL",608,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",3.107119844,3.056904263,2.774688979,2.840619411,2.914510013,2.867062338,2.985795298,3.103598132,2.963353579,2.638124478,3.231906742,3.195356455,3.216008862,3.234563795,3.202232774,3.18125838,3.211133312,3.283316445,3.165540245,3.26130943,3.473451443,3.211451943,3.356974052,3.446982622,3.490786828,3.517976203,3.565204656,3.542116174,3.821830996,3.937017826,3.580579512,3.749858779],
    [1693,"Asia","Philippines","PH","PHL",608,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",28.84726056,28.49049103,28.13372151,27.77695198,27.42018245,27.06341292,26.7066434,26.34987387,25.99310434,25.63633481,25.27956529,25.31154589,25.13540868,24.83687265,24.01199788,24.26990117,23.8291854,23.1509116,23.26866768,21.73861439,21.91920172,21.70432695,21.32857121,20.43449877,20.57508399,19.92802237,19.5903032,19.50020206,19.09824717,18.5164544,17.65817905,17.63680409],
    [1694,"Asia","Philippines","PH","PHL",608,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",42.67153702,44.00033471,44.43488983,44.79323629,44.57625166,45.41025418,46.32232531,47.89022967,50.37016161,51.25493633,51.08362009,51.79957544,51.76815132,52.30848831,52.3969001,52.66877669,53.17616556,53.39263145,52.71863683,53.937244,53.9115789,54.56558207,55.50469963,56.75112826,56.6808739,58.52154986,59.5089573,59.69049529,59.78611949,60.85216837,61.41477138,61.04516285],
    [1695,"Asia","Philippines","PH","PHL",608,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E",3.107119844,3.056904263,2.774688979,2.840619411,2.914510013,2.867062338,2.985795298,3.103598132,2.963353579,2.638124478,3.231906742,3.195356455,3.216008862,3.234563795,3.202232774,3.18125838,3.211133312,3.283316445,3.165540245,3.26130943,3.473451443,3.211451943,3.356974052,3.446982622,3.490786828,3.517976203,3.565204656,3.542116174,3.821830996,3.937017826,3.580579512,3.749858779],
    [1696,"Asia","Philippines","PH","PHL",608,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",3.082672529,-0.436390081,0.417629066,2.181889986,4.373665918,4.625225117,5.860347872,5.186411674,-0.5140906,3.346451184,4.382504833,3.04923151,3.716255002,5.086911135,6.569228512,4.942505119,5.316416821,6.51929155,4.344487305,1.448323063,7.33449996,3.858232828,6.896951711,6.750531301,6.347987483,6.348309717,7.14945675,6.930988326,6.341485572,6.118525662,-9.518294741,5.703155968],
    [1697,"Asia","Philippines","PH","PHL",608,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,158038.3757,null,null,null],
    [1698,"Asia","Philippines","PH","PHL",608,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,158038.4,null,null,null],
    [1699,"Asia","Philippines","PH","PHL",608,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,134.562,65.2732,80.3325,26.7584,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1700,"Asia","Philippines","PH","PHL",608,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,286215.425,null,null,null],
    [1701,"Asia","Philippines","PH","PHL",608,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,286215.4,null,null,null],
    [1702,"Asia","Philippines","PH","PHL",608,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UIC (2023). International Railway Statistics, Traffic on the national Territory - PKm, VAR 5113, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,123,107,93,83,83,null,null,null,null,null,null,null,null,null,null,342,384,null,null,null,null,null],
    [1703,"Asia","Philippines","PH","PHL",608,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","The World Bank (2023). Railways, passengers carried (million passenger-km). Available at: https://data.worldbank.org/indicator/IS.RRS.PASG.KM","A",null,null,null,null,null,220,123.5,214.6,247,215,123,107,93,83,83,null,null,null,null,null,null,null,null,null,null,342,384,null,null,null,null,null],
    [1704,"Asia","Philippines","PH","PHL",608,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,63909.742,69226.493,null,null,null],
    [1705,"Asia","Philippines","PH","PHL",608,"Passenger activity","All","All","All","All","TRAN_PA_NAT","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,444253.8,null,null,null],
    [1706,"Asia","Philippines","PH","PHL",608,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,53514.34,null,null,null],
    [1707,"Asia","Philippines","PH","PHL",608,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,53514.3,null,null,null],
    [1708,"Asia","Philippines","PH","PHL",608,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","The World Bank (2023). Railways, goods transported (million ton-km). Available at: https://data.worldbank.org/indicator/IS.RRS.GOOD.MT.K6","A",null,null,null,null,null,6,1,1,1,null,null,null,null,0.695,0.764,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1709,"Asia","Philippines","PH","PHL",608,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,753.351739,835.904513,null,null,null],
    [1710,"Asia","Philippines","PH","PHL",608,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",316,307.6000061,314.1000061,351.3999939,380.2000122,373.5,384.5,471.6000061,184.8999939,240.8999939,289.946,274.979,275.053,278.368,300.637,322.706,318.85,285.577,277.362,227.454,460.1940548,470.0034139,533.2836147,325.682352,577.474932,604.508812,665.1245679,753.351739,835.904513,926.888641,360.409324,530.283136],
    [1711,"Asia","Philippines","PH","PHL",608,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,1879563,2125115,2341469,2581354,2904487,3193549,3316817,3533732,3701173,3865862,4187673,4292272,4760593,5059753,5331574,5530052,5891272,6220433,6634855,7138942,7463393,7690038,null,8706607,9251565,10410814,11595434,12725305,11851192,null],
    [1712,"Asia","Philippines","PH","PHL",608,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,14156961.34,9251700,10410814,19137338.64,19920708.63,11852600.82,null],
    [1713,"Asia","Philippines","PH","PHL",608,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,4030605,5329800,6174345,7162253,8014202,7328116,null],
    [1714,"Asia","Philippines","PH","PHL",608,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,962365,1465000,1609105,1709260,1843053,1825659,null],
    [1715,"Asia","Philippines","PH","PHL",608,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,769040,858345,939794,1026104,1130081,1222801,1275625,1343421,1421764,1520684,1685951,1717243,1823563,1822252,1811842,1818738,1820221,1898581,1996612,2066588,2115105,2172357,null,2009442,1999145,2143770,2219348,2327830,2203679,null],
    [1716,"Asia","Philippines","PH","PHL",608,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,24539,29800,34801,28613,37440,25292,null],
    [1717,"Asia","Philippines","PH","PHL",608,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,477442,527016,568366,622500,698510,739190,745144,769061,763834,726044,745795,739170,793353,784437,788599,744830,755108,776155,804825,1112686,1162776,1214544,null,1390586,1464978,1609105,1709260,1843053,1825659,null],
    [1718,"Asia","Philippines","PH","PHL",608,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2405720,1969400,2108969,2190735,2290390,2178387,null],
    [1719,"Asia","Philippines","PH","PHL",608,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,164712,186033,202008,218377,249406,274371,258694,270801,274934,277267,281481,279318,291047,290771,315640,305447,323225,340227,347037,361827,378963,398498,null,429516,457672,483594,504573,540221,493738,null],
    [1720,"Asia","Philippines","PH","PHL",608,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,384570,457700,483594,504573,540220,493738,null],
    [1721,"Asia","Philippines","PH","PHL",608,"Energy intensity","Road","Motorcycle","All","All","NRG_EIP_MOTORC","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.5,null,null,null],
    [1722,"Asia","Philippines","PH","PHL",608,"Energy intensity","Road","Car","All","All","NRG_EIP_CAR","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.8,null,null,null],
    [1723,"Asia","Philippines","PH","PHL",608,"Energy intensity","Road","Minibus ","All","All","NRG_EIP_MINIBU","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I, W",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.7,null,null,null],
    [1724,"Asia","Philippines","PH","PHL",608,"Energy intensity","Road","Bus","All","All","NRG_EIP_BUS","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I, W",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.7,null,null,null],
    [1725,"Asia","Philippines","PH","PHL",608,"Energy intensity","Road","Light-duty vehicle","All","All","NRG_EIP_LDV","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.7,null,null,null],
    [1726,"Asia","Philippines","PH","PHL",608,"Energy intensity","Rail","All","All","All","NRG_EIP_RAIL","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.2,null,null,null],
    [1727,"Asia","Philippines","PH","PHL",608,"Energy intensity","Aviation","All","All","All","NRG_EIP_AVI","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.8,null,null,null],
    [1728,"Africa","Rwanda","RW","RWA",646,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",7.288883,7.083928,6.702239,6.263758,5.936253,5.83649,6.013112,6.419898,6.9628,7.501238,7.933688,8.23115,8.427061,8.55716,8.680516,8.84022,9.043342,9.273759,9.524532,9.78277,10.039338,10.293333,10.549668,10.811538,11.083629,11.369066,11.668829,11.98096,12.301969,12.626938,12.952209,13.276517],
    [1729,"Africa","Rwanda","RW","RWA",646,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",5.416,5.491,6.288,7.313,8.49,9.837,11.374,12.466,13.244,14.064,14.926,15.829,16.777,16.904,16.908,16.912,16.917,16.921,16.925,16.93,16.934,16.938,16.943,16.947,16.967,17.004,17.056,17.125,17.211,17.313,17.432,17.568],
    [1730,"Africa","Rwanda","RW","RWA",646,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",94.584,94.509,93.712,92.687,91.51,90.163,88.626,87.534,86.756,85.936,85.074,84.171,83.223,83.096,83.092,83.088,83.083,83.079,83.075,83.07,83.066,83.062,83.057,83.053,83.033,82.996,82.944,82.875,82.789,82.687,82.568,82.432],
    [1731,"Africa","Rwanda","RW","RWA",646,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",0.163395745,-2.852175457,-5.538690644,-6.766132519,-5.370219823,-1.69485375,2.981282944,6.545981153,8.117946257,7.448638129,5.604992331,3.680774072,2.352233779,1.5320284,1.431261451,1.823078931,2.271703313,2.516000265,2.668198695,2.675188908,2.588850081,2.498522827,2.459798613,2.451950697,2.485525757,2.542700362,2.602494011,2.639762453,2.644060783,2.607313746,2.543388442,2.47304828],
    [1732,"Africa","Rwanda","RW","RWA",646,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",2714.354532,2646.105354,2801.503851,2574.338536,1280.783181,1731.927251,1952.673429,2223.113866,2420.052176,2525.370144,2736.766814,2968.968327,3360.636947,3434.651707,3690.453564,4036.540588,4408.994108,4745.546343,5275.208314,5604.817041,6015.911096,6494.680506,7055.919661,7388.947559,7844.636347,8539.42491,9049.292136,9409.118207,10216.36763,11182.89705,10807.27994,11983.6004],
    [1733,"Africa","Rwanda","RW","RWA",646,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",32.54599393,32.13270694,33.23761507,33.73489259,49.75874611,44.00044946,47.18929222,45.96095226,45.51746118,31.5660505,31.20395468,31.81183897,30.21264158,33.05208724,33.91127095,33.79264009,30.04046685,26.08249563,24.79239973,25.36977282,24.32665024,23.84882655,24.77804233,24.93241614,24.70033612,23.99261646,25.16484074,26.34545557,24.61187117,23.54579702,26.63087486,24.06210502],
    [1734,"Africa","Rwanda","RW","RWA",646,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E",2.106395845,1.600045613,2.199130199,2.284981756,1.306795324,1.916994583,2.180316626,2.191175575,2.489403845,5.442797722,4.943107351,5.230881018,5.209313646,4.793251486,4.931497795,4.987876943,5.256630581,5.864046063,5.989908031,5.716389601,5.849401422,6.631667343,6.033309431,6.150205843,6.423791867,6.480058819,6.283218991,6.033396783,6.020223271,6.322622109,6.007274738,6.331236346],
    [1735,"Africa","Rwanda","RW","RWA",646,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",2.106395845,1.600045613,2.199130199,2.284981756,1.306795324,1.916994583,2.180316626,2.191175575,2.489403845,5.442797722,4.943107351,5.230881018,5.209313646,4.793251486,4.931497795,4.987876943,5.256630581,5.864046063,5.989908031,5.716389601,5.849401422,6.631667343,6.033309431,6.150205843,6.423791867,6.480058819,6.283218991,6.033396783,6.020223271,6.322622109,6.007274738,6.331236346],
    [1736,"Africa","Rwanda","RW","RWA",646,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",18.30498422,16.13991282,12.10604757,11.47988329,17.24969858,10.22020298,11.54486443,12.0365394,11.23450811,10.23863666,9.626449621,9.061204707,9.758643616,8.887927711,8.841556101,8.707693098,8.987323517,8.130019918,7.930206749,7.973757857,8.249009077,8.360669746,8.275532632,6.820514312,6.811806937,6.828342785,6.69998876,7.677866309,7.62773451,8.366595204,8.741614809,9.183092147],
    [1737,"Africa","Rwanda","RW","RWA",646,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",42.82983431,46.9272434,48.05894676,47.93027885,29.07116934,40.02836381,34.72489347,35.42898161,35.77981918,41.86691967,44.34027364,43.43431327,44.40077387,43.68023059,42.45267957,42.53603599,45.20231789,48.19534626,49.30766943,49.50730052,49.87613642,47.89550167,48.84649674,49.79645202,49.21648134,49.7388643,49.28551353,47.87648777,49.69972451,49.11974145,46.60568611,47.76109379],
    [1738,"Africa","Rwanda","RW","RWA",646,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E",2.106395845,1.600045613,2.199130199,2.284981756,1.306795324,1.916994583,2.180316626,2.191175575,2.489403845,5.442797722,4.943107351,5.230881018,5.209313646,4.793251486,4.931497795,4.987876943,5.256630581,5.864046063,5.989908031,5.716389601,5.849401422,6.631667343,6.033309431,6.150205843,6.423791867,6.480058819,6.283218991,6.033396783,6.020223271,6.322622109,6.007274738,6.331236346],
    [1739,"Africa","Rwanda","RW","RWA",646,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",-2.399291098,-2.514379653,5.872725238,-8.108691877,-50.2480671,35.22407831,12.74569576,13.84975249,8.858669491,4.351888326,8.37091824,8.484519453,13.1920781,2.20240272,7.447679676,9.377899425,9.227047579,7.633311061,11.16124324,6.248259929,7.334656108,7.958385719,8.641520625,4.719836864,6.167167721,8.856861325,5.970744298,3.976289694,8.579437537,9.460597561,-3.35885332,10.88451916],
    [1740,"Africa","Rwanda","RW","RWA",646,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,10227.02892,15493.28333,null,null],
    [1741,"Africa","Rwanda","RW","RWA",646,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,41.898538,326.5,null,null],
    [1742,"Africa","Rwanda","RW","RWA",646,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1325.158406,1764.673522,3001.1914,null,null],
    [1743,"Africa","Rwanda","RW","RWA",646,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1939.77,2262.2,null,null],
    [1744,"Africa","Rwanda","RW","RWA",646,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",null,1.200000048,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3.269194459,6.436401695,17.45428646,19.999008,20.696268,null,null,null,0,0,null,null],
    [1745,"Africa","Rwanda","RW","RWA",646,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,165309,181544,196044,213127,213217,239258,null],
    [1746,"Africa","Rwanda","RW","RWA",646,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,85072,93866,101694,112404,117199,130326,null],
    [1747,"Africa","Rwanda","RW","RWA",646,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,50514,55372,59481,63666,60326,69094,null],
    [1748,"Africa","Rwanda","RW","RWA",646,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7473,8092,8823,9453,9338,10307,null],
    [1749,"Africa","Rwanda","RW","RWA",646,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,16402,17245,17953,18934,17026,18685,null],
    [1750,"Africa","Rwanda","RW","RWA",646,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,5848,6969,8093,8670,9328,10846,null],
    [1751,"Africa","Rwanda","RW","RWA",646,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [1752,"Africa","Rwanda","RW","RWA",646,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [1753,"Africa","Rwanda","RW","RWA",646,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [1754,"Africa","Rwanda","RW","RWA",646,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [1755,"Africa","Rwanda","RW","RWA",646,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1756,"Africa","Rwanda","RW","RWA",646,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1757,"Africa","Rwanda","RW","RWA",646,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1758,"Africa","Rwanda","RW","RWA",646,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [1759,"Africa","Sudan","SD","SDN",729,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",20.147592,20.891442,21.69624,22.527837,23.338465,24.094741,24.782384,25.413912,26.015518,26.626512,27.275019,27.971077,28.704786,29.460517,30.214189,30.949514,31.661824,32.360619,33.060844,33.783779,34.545014,35.349676,36.193781,37.072555,37.977657,38.902948,39.847433,40.813398,41.801532,42.813237,43.849269,44.909351],
    [1760,"Africa","Sudan","SD","SDN",729,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",28.61,29.84,31.103,32.127,32.179,32.232,32.284,32.337,32.39,32.442,32.495,32.548,32.601,32.654,32.707,32.76,32.813,32.866,32.919,32.993,33.089,33.207,33.346,33.507,33.689,33.894,34.121,34.37,34.642,34.936,35.253,35.593],
    [1761,"Africa","Sudan","SD","SDN",729,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",71.39,70.16,68.897,67.873,67.821,67.768,67.716,67.663,67.61,67.558,67.505,67.452,67.399,67.346,67.293,67.24,67.187,67.134,67.081,67.007,66.911,66.793,66.654,66.493,66.311,66.106,65.879,65.63,65.358,65.064,64.747,64.407],
    [1762,"Africa","Sudan","SD","SDN",729,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",3.386831133,3.62548239,3.779937221,3.761277087,3.535111326,3.189074314,2.813947728,2.516366243,2.339646552,2.321420502,2.406381718,2.519978369,2.589285643,2.598709166,2.526068838,2.404564778,2.275436866,2.183055564,2.140740085,2.163115464,2.228245116,2.30259996,2.359808168,2.398962995,2.412107467,2.40720187,2.398795478,2.395242326,2.392257972,2.39143409,2.391071774,2.388798766],
    [1763,"Africa","Sudan","SD","SDN",729,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",33608.46979,36132.7718,38509.53544,40268.93956,40674.13722,43113.40278,45665.33864,54027.87556,56355.66887,58105.00272,61792.26917,65808.98945,69761.78767,74148.97266,77960.88869,82360.62353,87739.93497,92772.06086,96340.76522,93674.33766,97288.52025,94162.12243,78150.14692,79678.09532,83392.19375,84985.13217,87932.11246,88555.77649,86181.65763,84304.40477,81244.31874,81337.41516],
    [1764,"Africa","Sudan","SD","SDN",729,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",39.01958906,40.1843516,38.54295443,39.90006845,34.53070431,37.28028116,42.38485196,45.04224916,44.3945906,43.26549942,40.68217391,35.78077462,37.66274226,38.41661101,34.00607686,33.19992047,31.82010796,35.66751437,36.18316332,33.50668057,31.85222111,27.84769347,33.77462417,29.60763646,32.62427082,31.55645133,22.97758142,21.23054031,21.99347316,20.16401535,20.35627523,6.357092128],
    [1765,"Africa","Sudan","SD","SDN",729,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E",3.392442913,3.233693205,3.426415017,3.480511911,2.729352042,3.046570529,2.952122844,3.1151747,3.424531707,3.842929465,5.1024109,10.81106262,11.97060889,11.60822545,13.60783396,14.58250071,14.59889265,16.32000878,14.60418437,11.63299788,10.72775699,9.67310985,5.015461125,6.481083767,5.400301298,4.853609156,7.255046524,7.43098186,7.202382245,12.36635448,12.7464136,26.28759085],
    [1766,"Africa","Sudan","SD","SDN",729,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",3.392442913,3.233693205,3.426415017,3.480511911,2.729352042,3.046570529,2.952122844,3.1151747,3.424531707,3.842929465,5.1024109,10.81106262,11.97060889,11.60822545,13.60783396,14.58250071,14.59889265,16.32000878,14.60418437,11.63299788,10.72775699,9.67310985,5.015461125,6.481083767,5.400301298,4.853609156,7.255046524,7.43098186,7.202382245,12.36635448,12.7464136,26.28759085],
    [1767,"Africa","Sudan","SD","SDN",729,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",8.3363334,6.242697053,5.701082855,5.299432421,5.184338187,4.627631795,8.865233766,8.445334928,8.506433274,8.340737867,8.301581589,6.44579943,6.41767752,5.917529662,5.556734196,5.057505194,4.527741365,4.496305856,4.50574782,5.134511309,5.131189518,5.127867726,5.124545934,5.121224142,5.11790235,5.114580558,5.111258767,5.107936975,5.104615183,5.101293391,5.097971599,5.094649807],
    [1768,"Africa","Sudan","SD","SDN",729,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",42.4667488,43.87187174,45.47671766,44.35896339,52.09690138,48.95237546,39.89354574,37.16689181,36.825381,36.86497432,35.70901179,25.34023809,20.00775356,20.84118297,19.61368706,17.99507222,19.85547272,10.87615343,15.49853575,26.45981449,30.83331841,38.00510926,46.05444652,45.8278881,46.05692294,48.76814065,50.14602025,51.36857713,51.29476492,37.63562782,36.30651238,9.685485514],
    [1769,"Africa","Sudan","SD","SDN",729,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E",3.392442913,3.233693205,3.426415017,3.480511911,2.729352042,3.046570529,2.952122844,3.1151747,3.424531707,3.842929465,5.1024109,10.81106262,11.97060889,11.60822545,13.60783396,14.58250071,14.59889265,16.32000878,14.60418437,11.63299788,10.72775699,9.67310985,5.015461125,6.481083767,5.400301298,4.853609156,7.255046524,7.43098186,7.202382245,12.36635448,12.7464136,26.28759085],
    [1770,"Africa","Sudan","SD","SDN",729,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",-5.470053776,7.510910271,6.577861381,4.56874927,1.00622878,5.997092322,5.919124197,18.31265719,4.308504255,3.104095615,6.34586744,6.500360534,6.006471536,6.288808161,5.140888518,5.643515513,6.531411747,5.735274237,3.846744731,-2.767704366,3.858241952,-3.213532093,-17.0046884,1.955144633,4.661379542,1.910176891,3.467642184,0.709256285,-2.68093055,-2.178251045,-3.629805626,0.114588214],
    [1771,"Africa","Sudan","SD","SDN",729,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,43199.26197,52269.05,null,null],
    [1772,"Africa","Sudan","SD","SDN",729,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","The World Bank (2023). Railways, passengers carried (million passenger-km). Available at: https://data.worldbank.org/indicator/IS.RRS.PASG.KM","A",null,null,null,null,null,0,185,142,124,129,205,90,73,52,32,40,34,null,null,null,25,13,null,7,82,null,null,null,null,null,null,null],
    [1773,"Africa","Sudan","SD","SDN",729,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",null,501,null,null,null,220,null,174,null,120,205,90,73,null,52,40,40,40,34,null,null,25,13,null,null,null,null,null,null,null,null,null],
    [1774,"Africa","Sudan","SD","SDN",729,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.587079,31927.875,null,null],
    [1775,"Africa","Sudan","SD","SDN",729,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,876.204526,286.411387,3097.773575,null,null],
    [1776,"Africa","Sudan","SD","SDN",729,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,15692.5,37785,null,null],
    [1777,"Africa","Sudan","SD","SDN",729,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","The World Bank (2023). Railways, goods transported (million ton-km). Available at: https://data.worldbank.org/indicator/IS.RRS.GOOD.MT.K6","A",null,null,null,null,null,1538,1616,1654,1453,1654,1164,903,993,null,889,766,766,null,null,null,925,770,823,34,null,null,null,null,null,null,null,null],
    [1778,"Africa","Sudan","SD","SDN",729,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",null,646,null,null,null,1538,null,1586,null,1654,1164,877,993,null,889,756,766,765,766,null,null,925,770,null,null,null,null,null,null,null,null,null],
    [1779,"Africa","Sudan","SD","SDN",729,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,6478.636024,21627.6,null,null],
    [1780,"Africa","Sudan","SD","SDN",729,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",13,11,35,37,39,53,46,23,17,34,37,33,33,36,40,43,51,46,47,42,15,23,24,12,12,7,5,6,1,0,0,null],
    [1781,"Africa","Sudan","SD","SDN",729,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,5.688339,0,0.0755,null,null],
    [1782,"Africa","Sudan","SD","SDN",729,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","SESRIC (2022). Statistical Yearbook on OIC Member Countries 2021, Statistical, Economic and Social Research and Training Centre for Islamic Countries. Available at: https://www.sesric.org/files/article/808.pdf","A",null,null,null,null,null,null,null,null,null,null,37,null,null,null,null,43,null,null,null,null,15,null,null,null,null,7,5,6,1,0.08,0,null],
    [1783,"Africa","Sudan","SD","SDN",729,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",12.9,11.3,34.6,36.9,39.1,52.6,46.3,23.1,16.5,33.9,36.51,32.65,32.84,36.25,40.47,43.12,51.04,45.89,46.82,41.8,14.64,22.72,23.54,12.42,11.89,null,null,null,null,null,null,null],
    [1784,"Africa","Sudan","SD","SDN",729,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,4984.75741,149.6,null,null],
    [1785,"Africa","Sudan","SD","SDN",729,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1252740,null,null,null,null,null],
    [1786,"Africa","Sudan","SD","SDN",729,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,149778,null,null,null,null,null],
    [1787,"Africa","Sudan","SD","SDN",729,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,935132,null,null,null,null,null],
    [1788,"Africa","Sudan","SD","SDN",729,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,81400,null,null,null,null,null],
    [1789,"Africa","Sudan","SD","SDN",729,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,86430,null,null,null,null,null],
    [1790,"Africa","Sudan","SD","SDN",729,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [1791,"Africa","Sudan","SD","SDN",729,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [1792,"Africa","Sudan","SD","SDN",729,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [1793,"Africa","Sudan","SD","SDN",729,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [1794,"Africa","Sudan","SD","SDN",729,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1795,"Africa","Sudan","SD","SDN",729,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1796,"Africa","Sudan","SD","SDN",729,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1797,"Africa","Sudan","SD","SDN",729,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [1798,"Africa","Senegal","SN","SEN",686,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",7.526306,7.755503,7.99009,8.226749,8.461066,8.690155,8.912872,9.130876,9.347777,9.568717,9.797731,10.036102,10.283694,10.54147,10.810086,11.090123,11.382272,11.687078,12.0047,12.335092,12.678143,13.033814,13.40199,13.782429,14.17474,14.57845,14.993514,15.419354,15.854324,16.296362,16.74393,17.196308],
    [1799,"Africa","Senegal","SN","SEN",686,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",38.896,39.038,39.18,39.321,39.464,39.606,39.749,39.891,40.034,40.177,40.32,40.464,40.607,40.898,41.306,41.714,42.124,42.535,42.947,43.359,43.773,44.188,44.603,45.019,45.436,45.862,46.296,46.74,47.192,47.653,48.122,48.6],
    [1800,"Africa","Senegal","SN","SEN",686,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",61.104,60.962,60.82,60.679,60.536,60.394,60.251,60.109,59.966,59.823,59.68,59.536,59.393,59.102,58.694,58.286,57.876,57.465,57.053,56.641,56.227,55.812,55.397,54.981,54.564,54.138,53.704,53.26,52.808,52.347,51.878,51.4],
    [1801,"Africa","Senegal","SN","SEN",686,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",3.004915896,2.999830551,2.979936789,2.918889463,2.808425199,2.67156053,2.530574829,2.416511343,2.347692359,2.336057067,2.365169657,2.403796361,2.437074214,2.475746808,2.516258514,2.557530516,2.60021649,2.642672973,2.681445276,2.714996863,2.743127877,2.766757026,2.785614595,2.799131661,2.806698729,2.808290362,2.807329667,2.800576602,2.781879708,2.749962203,2.709391181,2.665890508],
    [1802,"Africa","Senegal","SN","SEN",686,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",7649.320625,7852.789698,7956.464821,8064.689691,8060.857274,8501.672094,8673.403933,8937.561213,9464.741412,10059.44029,10450.47196,10900.97628,10908.46488,11518.67905,12053.52518,12573.06086,12866.11012,13229.85039,13719.77411,14097.35663,14575.38238,14769.83126,15361.06695,15731.63506,16710.78374,17774.76664,18906.96318,20304.8944,21565.67424,22560.63424,22859.67661,24246.00078],
    [1803,"Africa","Senegal","SN","SEN",686,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",18.46614165,18.69641193,17.14343299,19.1653614,17.74000795,19.47016467,18.3370626,18.19140422,17.83192777,17.37601174,16.4392452,16.25243231,13.38078013,15.49109984,14.20179954,15.18039641,13.39515159,12.24591057,14.68662702,16.10773362,15.94526154,12.94706104,14.09769235,13.72488038,13.36876508,14.28257673,14.41402039,14.98203382,14.98824785,14.89957308,16.21585473,15.32368028],
    [1804,"Africa","Senegal","SN","SEN",686,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E",2.741310554,2.891731205,3.611871403,3.185134542,3.340085144,3.518593962,3.917754891,3.754769404,3.881054332,4.020394353,4.053879737,4.507711239,4.856184531,4.381211733,4.723277816,5.07587198,5.148040961,5.30566588,4.740523042,5.251877126,5.351595847,5.347831952,5.057074832,5.400615894,5.341762149,5.745831609,5.735073022,5.680609595,5.771306781,6.412975725,6.409224126,6.772611168],
    [1805,"Africa","Senegal","SN","SEN",686,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",2.741310554,2.891731205,3.611871403,3.185134542,3.340085144,3.518593962,3.917754891,3.754769404,3.881054332,4.020394353,4.053879737,4.507711239,4.856184531,4.381211733,4.723277816,5.07587198,5.148040961,5.30566588,4.740523042,5.251877126,5.351595847,5.347831952,5.057074832,5.400615894,5.341762149,5.745831609,5.735073022,5.680609595,5.771306781,6.412975725,6.409224126,6.772611168],
    [1806,"Africa","Senegal","SN","SEN",686,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",22.2125663,21.99526835,21.77797041,21.56067246,21.34337451,21.12607656,20.90877862,20.69148067,20.47418272,20.25688477,20.83892501,20.98396207,21.58689514,20.57588963,20.95936579,19.90577529,19.2454738,18.61612738,17.53933132,15.76568231,15.57288881,17.24574864,16.99510584,17.38002414,16.99741556,17.04305501,16.41265626,15.80530875,15.52549026,14.89541542,14.29970662,14.76146367],
    [1807,"Africa","Senegal","SN","SEN",686,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",51.22120277,50.6331261,50.2429824,49.71856252,50.89636211,48.84797688,49.00089412,49.8528069,50.05072651,50.30592043,50.56019057,49.2404719,50.46377114,50.78937534,50.66900122,49.68621235,51.91525173,53.22096441,53.55247253,52.37095269,52.42706212,53.76369447,53.73597732,52.6932478,53.60853292,51.43687343,51.96810428,52.17082865,52.17234155,50.96608433,50.25676627,49.59702255],
    [1808,"Africa","Senegal","SN","SEN",686,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E",2.617468167,2.891731205,3.611871403,3.185134542,3.340085144,3.518593962,3.917754891,3.754769404,3.881054332,4.020394353,4.053879737,4.507711239,4.856184531,4.381211733,4.723277816,5.07587198,5.148040961,5.30566588,4.740523042,5.251877126,5.351595847,5.347831952,5.057074832,5.400615894,5.341762149,5.745831609,5.735073022,5.680609595,5.771306781,6.412975725,6.409224126,6.772611168],
    [1809,"Africa","Senegal","SN","SEN",686,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",-0.746282224,2.659962657,1.320233037,1.360213007,-0.047520949,5.468584858,2.019977209,3.045601035,5.898479318,6.28330825,3.887210958,4.310851466,0.068696575,5.593950945,4.643293937,4.310238526,2.330770983,2.827119201,3.703169064,2.752104485,3.390889253,1.33409108,4.002995551,2.412385276,6.224074438,6.367043651,6.369684417,7.393737497,6.209241034,4.613628097,1.325505141,6.064495968],
    [1810,"Africa","Senegal","SN","SEN",686,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,18667.93017,null,null,null],
    [1811,"Africa","Senegal","SN","SEN",686,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","The World Bank (2023). Railways, passengers carried (million passenger-km). Available at: https://data.worldbank.org/indicator/IS.RRS.PASG.KM","A",184,157,168,140,179,174,103,78,63,71,138,136,136,137,138,134,129,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1812,"Africa","Senegal","SN","SEN",686,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.800321,null,null,null],
    [1813,"Africa","Senegal","SN","SEN",686,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UIC (2023). International Railway Statistics, Traffic on the national Territory - PKm, VAR 5113, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,138,136,136,137,138,134,129,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1814,"Africa","Senegal","SN","SEN",686,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",184,157,168,140,179,194,103,78,63,63,138,88,null,null,null,null,129,129,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1815,"Africa","Senegal","SN","SEN",686,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,14.640813,14.640813,null,null,null],
    [1816,"Africa","Senegal","SN","SEN",686,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2826.258288,null,null,null],
    [1817,"Africa","Senegal","SN","SEN",686,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","The World Bank (2023). Railways, goods transported (million ton-km). Available at: https://data.worldbank.org/indicator/IS.RRS.GOOD.MT.K6","A",564,484.893,474.459,393,386,475,474,446,435,401,371,370,369,369,371,376,384,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1818,"Africa","Senegal","SN","SEN",686,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,279.170808,null,null,null],
    [1819,"Africa","Senegal","SN","SEN",686,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",564,484.89,474.46,393,386,475,475,441,435,435,371,265,null,null,null,null,384,384,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1820,"Africa","Senegal","SN","SEN",686,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.041651,0.041651,null,null,null],
    [1821,"Africa","Senegal","SN","SEN",686,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",18,16,15,14,15,15,17,15,14,14,12,7,0,0,0,0,0,0,0,0,0,3,5,4,4,3,0,0,0,2,3,3],
    [1822,"Africa","Senegal","SN","SEN",686,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",17.7,16.1,15.2,14.3,14.5,15.3,16.5,15.3,13.5,13.7,12.27,7.36,0,0,0,0,0,0,0,0,0,3.38,4.58,4.47,3.58,null,null,null,null,null,null,null],
    [1823,"Africa","Senegal","SN","SEN",686,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,67.884067,null,null,null],
    [1824,"Africa","Senegal","SN","SEN",686,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","Agence Nationale de la Statistique et de la Demographie (2020). Situation Economique et Sociale du S�n�gal Ed. 2017/2018. Available at: https://www.ansd.sn/sites/default/files/2023-03/13-SES-2017-2018_Transport.pdf","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,293800,311020,326352,347901,374384,401910,432033,468051,507265,766737,820289,null,null,null],
    [1825,"Africa","Senegal","SN","SEN",686,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,668535,null,null,null],
    [1826,"Africa","Senegal","SN","SEN",686,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","Agence Nationale de la Statistique et de la Demographie (2020). Situation Economique et Sociale du S�n�gal Ed. 2017/2018. Available at: https://www.ansd.sn/sites/default/files/2023-03/13-SES-2017-2018_Transport.pdf","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,13380.432,16351.347,29201.952,33358.53,37586.871,39784.335,28406.84,null,57420.23,null,null,null],
    [1827,"Africa","Senegal","SN","SEN",686,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,57420,null,null,null],
    [1828,"Africa","Senegal","SN","SEN",686,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","Agence Nationale de la Statistique et de la Demographie (2020). Situation Economique et Sociale du S�n�gal Ed. 2017/2018. Available at: https://www.ansd.sn/sites/default/files/2023-03/13-SES-2017-2018_Transport.pdf","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,211802.448,219177.63,233615.616,248782.29,269156.559,292063.824,315518.83,null,469205.308,null,null,null],
    [1829,"Africa","Senegal","SN","SEN",686,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,467565,null,null,null],
    [1830,"Africa","Senegal","SN","SEN",686,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","Agence Nationale de la Statistique et de la Demographie (2020). Situation Economique et Sociale du S�n�gal Ed. 2017/2018. Available at: https://www.ansd.sn/sites/default/files/2023-03/13-SES-2017-2018_Transport.pdf","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,15338.544,17742.951,16098.512,16880.22,19441.485,17785.938,20797.865,null,20507.225,null,null,null],
    [1831,"Africa","Senegal","SN","SEN",686,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,20507,null,null,null],
    [1832,"Africa","Senegal","SN","SEN",686,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","Agence Nationale de la Statistique et de la Demographie (2020). Situation Economique et Sociale du S�n�gal Ed. 2017/2018. Available at: https://www.ansd.sn/sites/default/files/2023-03/13-SES-2017-2018_Transport.pdf","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,58743.36,61926.378,67389.12,71941.89,66533.082,81908.925,56813.68,null,123043.35,null,null,null],
    [1833,"Africa","Senegal","SN","SEN",686,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,92693,null,null,null],
    [1834,"Africa","Senegal","SN","SEN",686,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,30350,null,null,null],
    [1835,"Africa","Senegal","SN","SEN",686,"Vehicle stock","Road","Agricultural and forestry tractors","All","All","ROAD_EQS_TRACTO","n","Agence Nationale de la Statistique et de la Demographie (2020). Situation Economique et Sociale du S�n�gal Ed. 2017/2018. Available at: https://www.ansd.sn/sites/default/files/2023-03/13-SES-2017-2018_Transport.pdf","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,11605.904,12861.12,14257.089,15445.683,null,null,21327.514,null,null,null],
    [1836,"Africa","Senegal","SN","SEN",686,"Vehicle stock","Road","Special purpose vehicle","All","All","ROAD_EQS_SPECIA","n","Agence Nationale de la Statistique et de la Demographie (2020). Situation Economique et Sociale du S�n�gal Ed. 2017/2018. Available at: https://www.ansd.sn/sites/default/files/2023-03/13-SES-2017-2018_Transport.pdf","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,27087.216,32702.694,16098.512,17684.04,25057.914,20594.244,85220.52,null,128785.373,null,null,null],
    [1837,"Africa","Senegal","SN","SEN",686,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [1838,"Africa","Senegal","SN","SEN",686,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [1839,"Africa","Senegal","SN","SEN",686,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [1840,"Africa","Senegal","SN","SEN",686,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [1841,"Africa","Senegal","SN","SEN",686,"Load factor","Road","Car","All","Urban","NRG_LF_CARURB","passenger/vehicle","Merven, B., Stone, A., Hughes, A. and Cohen, B. (2012). Quantifying the energy needs of the transport sector for South Africa: A bottom-up model. University of Cape Town, Cape Town. Available at: https://open.uct.ac.za/handle/11427/16905","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2,null,null,null,null,null,null,null,null,null,null,null],
    [1842,"Africa","Senegal","SN","SEN",686,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1843,"Africa","Senegal","SN","SEN",686,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1844,"Africa","Senegal","SN","SEN",686,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1845,"Africa","Senegal","SN","SEN",686,"Load factor","Road","Minibus","All","Urban","NRG_LF_MINIBUURB","passenger/vehicle","Merven, B., Stone, A., Hughes, A. and Cohen, B. (2012). Quantifying the energy needs of the transport sector for South Africa: A bottom-up model. University of Cape Town, Cape Town. Available at: https://open.uct.ac.za/handle/11427/16905","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,35,null,null,null,null,null,null,null,null,null,null,null],
    [1846,"Africa","Senegal","SN","SEN",686,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [1847,"Africa","Senegal","SN","SEN",686,"Load factor","Road","Bus","Diesel","Urban","NRG_LF_BUSDIEURB","passenger/vehicle","Merven, B., Stone, A., Hughes, A. and Cohen, B. (2012). Quantifying the energy needs of the transport sector for South Africa: A bottom-up model. University of Cape Town, Cape Town. Available at: https://open.uct.ac.za/handle/11427/16905","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,66,null,null,null,null,null,null,null,null,null,null,null],
    [1848,"Africa","Sierra Leone","SL","SLE",694,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",4.319763,4.348663,4.347727,4.328965,4.30978,4.303953,4.31266,4.335295,4.381484,4.462374,4.58457,4.754069,4.96577,5.201074,5.433995,5.645629,5.82924,5.989641,6.133599,6.272735,6.415636,6.563238,6.712586,6.863975,7.017153,7.171909,7.328846,7.488427,7.650149,7.813207,7.976985,8.141343],
    [1849,"Africa","Sierra Leone","SL","SLE",694,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",33.252,33.485,33.72,33.955,34.192,34.429,34.667,34.905,35.144,35.384,35.626,35.867,36.109,36.352,36.596,36.919,37.303,37.689,38.077,38.466,38.856,39.248,39.642,40.036,40.432,40.829,41.228,41.636,42.055,42.484,42.923,43.372],
    [1850,"Africa","Sierra Leone","SL","SLE",694,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",66.748,66.515,66.28,66.045,65.808,65.571,65.333,65.095,64.856,64.616,64.374,64.133,63.891,63.648,63.404,63.081,62.697,62.311,61.923,61.534,61.144,60.752,60.358,59.964,59.568,59.171,58.772,58.364,57.945,57.516,57.077,56.628],
    [1851,"Africa","Sierra Leone","SL","SLE",694,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",1.523880644,0.66679019,-0.021526174,-0.432469638,-0.444162469,-0.1352956,0.202098039,0.523477555,1.059782112,1.829343162,2.701540582,3.630456569,4.356748815,4.629677165,4.380944815,3.820702656,3.200501422,2.714484545,2.375021312,2.243077346,2.252567211,2.274594295,2.250019293,2.230244832,2.207086023,2.181428721,2.164620088,2.154069382,2.136636265,2.10903822,2.074501355,2.03946336],
    [1852,"Africa","Sierra Leone","SL","SLE",694,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",2391.930403,2448.187665,1982.715957,2009.969366,1970.827538,1813.166197,1844.965894,1736.535735,1767.533146,1732.548617,1847.810362,1730.558384,2187.725472,2391.470991,2549.258929,2664.105482,2776.635014,3000.380294,3162.34938,3263.166698,3437.630797,3654.71873,4209.569689,5081.614391,5313.171991,4218.723875,4474.187604,4661.772844,4823.284726,5076.711739,4976.753934,5128.555017],
    [1853,"Africa","Sierra Leone","SL","SLE",694,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",44.02862196,36.7450502,35.88728794,40.30245175,37.39516068,39.95456184,45.21014645,57.39560378,59.40206996,59.86649046,55.01416209,45.13635404,46.21424623,46.35657463,48.48605626,49.39145138,50.29408713,52.17604718,53.65350832,55.26088268,52.94268026,54.59346587,50.59211664,47.98330898,51.79252867,58.6518937,58.20874133,60.6110904,58.93440965,58.15447245,59.48739589,60.16045885],
    [1854,"Africa","Sierra Leone","SL","SLE",694,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E",6.615914188,11.36907113,12.45737765,9.335069138,11.33824442,11.42660322,10.98949864,8.146941821,7.935209502,8.243603841,9.716617856,3.284636715,3.461139544,4.034342733,4.30849639,3.961672145,3.834230847,3.543521173,2.937669055,2.670990139,3.20629885,2.632910746,4.945075022,7.298638699,5.616008258,1.902712397,2.228152383,1.808059628,2.206623828,2.363344254,2.548113322,2.453876068],
    [1855,"Africa","Sierra Leone","SL","SLE",694,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",6.615914188,11.36907113,12.45737765,9.335069138,11.33824442,11.42660322,10.98949864,8.146941821,7.935209502,8.243603841,9.716617856,3.284636715,3.461139544,4.034342733,4.30849639,3.961672145,3.834230847,3.543521173,2.937669055,2.670990139,3.20629885,2.632910746,4.945075022,7.298638699,5.616008258,1.902712397,2.228152383,1.808059628,2.206623828,2.363344254,2.548113322,2.453876068],
    [1856,"Africa","Sierra Leone","SL","SLE",694,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",4.323785904,5.038135464,6.818496368,9.493675238,9.395517298,8.63507589,8.084542974,4.790236899,3.830016731,2.967448978,3.345756484,3.547331915,3.225204038,2.758912605,2.596840305,2.488797083,2.621069184,2.470317161,2.436938248,2.128059428,2.177330168,2.254230489,2.017635715,1.641227274,1.532608562,1.768628824,1.820707878,1.968343549,2.099095274,1.951559878,1.884905711,1.844646286],
    [1857,"Africa","Sierra Leone","SL","SLE",694,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",31.79984957,24.10960093,19.92208274,22.1986656,19.19458877,17.1305526,13.73681467,13.37333386,12.96228481,12.43524903,12.49022786,41.46240391,40.1771311,38.78148456,35.99161426,36.23473511,35.58215114,34.72307214,35.09654627,34.59808748,35.26109302,35.2535714,32.55502258,28.47954765,29.826838,33.87134028,33.28609364,31.99638717,32.34662359,32.80393491,30.98335844,30.63326666],
    [1858,"Africa","Sierra Leone","SL","SLE",694,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E",6.615914188,11.36907113,12.45737765,9.335069138,11.33824442,11.42660322,10.98949864,8.146941821,7.935209502,8.243603841,9.716617856,3.284636715,3.461139544,4.034342733,4.30849639,3.961672145,3.834230847,3.543521173,2.937669055,2.670990139,3.20629885,2.632910746,4.945075022,7.298638699,5.616008258,1.902712397,2.228152383,1.808059628,2.206623828,2.363344254,2.548113322,2.453876068],
    [1859,"Africa","Sierra Leone","SL","SLE",694,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",3.349997984,2.351960645,-19.01290963,1.374549379,-1.947384335,-7.999753286,1.753821399,-5.877082015,1.785014281,-1.979285588,6.652727885,-6.345455153,26.4173166,9.313120969,6.59794486,4.505095672,4.223914279,8.058145152,5.39828521,3.188051216,5.346466052,6.315045036,15.18176908,20.71576829,4.556772366,-20.59877072,6.055474029,4.192610074,3.46460214,5.254241203,-1.96894782,3.050202695],
    [1860,"Africa","Sierra Leone","SL","SLE",694,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3667.401744,6988.916667,null,null],
    [1861,"Africa","Sierra Leone","SL","SLE",694,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.476405,97.7,null,null],
    [1862,"Africa","Sierra Leone","SL","SLE",694,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1700.05,1757.2,null,null],
    [1863,"Africa","Sierra Leone","SL","SLE",694,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",2,null,0,0,0,0,0,null,0,null,9,6,6,7,8,8,10,9,8,8,0,0,0,null,null,null,null,null,null,null,null,null],
    [1864,"Africa","Sierra Leone","SL","SLE",694,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","SESRIC (2022). Statistical Yearbook on OIC Member Countries 2021, Statistical, Economic and Social Research and Training Centre for Islamic Countries. Available at: https://www.sesric.org/files/article/808.pdf","A",null,null,null,null,null,null,null,null,null,null,9,null,null,null,null,8,null,null,null,null,0,null,null,null,null,null,null,null,null,null,null,null],
    [1865,"Africa","Sierra Leone","SL","SLE",694,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,229.758247,82.8,null,null],
    [1866,"Africa","Sierra Leone","SL","SLE",694,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [1867,"Africa","Sierra Leone","SL","SLE",694,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [1868,"Africa","Sierra Leone","SL","SLE",694,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [1869,"Africa","Sierra Leone","SL","SLE",694,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [1870,"Africa","Sierra Leone","SL","SLE",694,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1871,"Africa","Sierra Leone","SL","SLE",694,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1872,"Africa","Sierra Leone","SL","SLE",694,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1873,"Africa","Sierra Leone","SL","SLE",694,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [1874,"Africa","Somalia","SO","SOM",706,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",7.225089,7.274026,7.29538,7.315864,7.372592,7.491647,7.682683,7.936122,8.235064,8.553595,8.87225,9.186719,9.501335,9.815412,10.130251,10.446856,10.763904,11.080122,11.397188,11.717691,12.043886,12.376305,12.715487,13.063711,13.423571,13.797204,14.185635,14.589165,15.008225,15.442906,15.893219,16.3595],
    [1875,"Africa","Somalia","SO","SOM",706,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",29.658,30.007,30.359,30.711,31.067,31.425,31.785,32.147,32.511,32.878,33.247,33.617,33.99,34.756,35.531,36.311,37.1,34.404,36.011,37.645,39.31,41,41.558,42.117,42.679,43.245,43.816,44.391,44.971,45.554,46.141,46.731],
    [1876,"Africa","Somalia","SO","SOM",706,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",70.342,69.993,69.641,69.289,68.933,68.575,68.215,67.853,67.489,67.122,66.753,66.383,66.01,65.244,64.469,63.689,62.9,65.596,63.989,62.355,60.69,59,58.442,57.883,57.321,56.755,56.184,55.609,55.029,54.446,53.859,53.269],
    [1877,"Africa","Somalia","SO","SOM",706,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",1.279077876,0.675036867,0.293135016,0.280386987,0.772419947,1.601932611,2.518016856,3.245590774,3.697639246,3.795052711,3.657676578,3.483042593,3.367346093,3.252148836,3.157229243,3.077497606,2.989724231,2.895437788,2.821396622,2.773309278,2.745739419,2.722661216,2.703694192,2.70175342,2.717395796,2.745377141,2.776386992,2.804929706,2.831925424,2.855135517,2.874280095,2.891622809],
    [1878,"Africa","Somalia","SO","SOM",706,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E, U",132.8203442,132.8203442,132.8203442,332.0429694,531.2655946,730.4882198,929.710845,1128.93347,1328.156095,1527.378721,1726.601346,1925.823971,2125.046596,2324.269221,2523.491847,2722.714472,2921.937097,3121.159722,3320.382347,3519.604973,3718.827598,3918.050223,4117.272848,4316.495473,4640.539107,5331.761394,5779.59447,5929.433937,6384.748042,6900.727626,7069.119939,7304.834852],
    [1879,"Africa","Somalia","SO","SOM",706,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, G, U",62.7445652,62.7445652,62.7445652,62.7445652,62.7445652,62.7445652,62.7445652,62.7445652,62.7445652,62.7445652,62.7445652,62.7445652,62.7445652,62.7445652,62.7445652,62.7445652,62.7445652,62.7445652,62.7445652,62.7445652,62.7445652,62.7445652,62.7445652,62.7445652,62.7445652,62.7445652,62.7445652,62.7445652,62.7445652,62.7445652,62.7445652,62.7445652],
    [1880,"Africa","Somalia","SO","SOM",706,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E, G, U",8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207],
    [1881,"Africa","Somalia","SO","SOM",706,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E, G, U",8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207],
    [1882,"Africa","Somalia","SO","SOM",706,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A. G, U",4.427586525,4.427586525,4.427586525,4.427586525,4.427586525,4.427586525,4.427586525,4.427586525,4.427586525,4.427586525,4.427586525,4.427586525,4.427586525,4.427586525,4.427586525,4.427586525,4.427586525,4.427586525,4.427586525,4.427586525,4.427586525,4.427586525,4.427586525,4.427586525,4.427586525,4.427586525,4.427586525,4.427586525,4.427586525,4.427586525,4.427586525,4.427586525],
    [1883,"Africa","Somalia","SO","SOM",706,"GDP","Service","..","..","..","GDP_SER","%","n/a","E, G, U",8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207],
    [1884,"Africa","Somalia","SO","SOM",706,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E, G, U",8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207,8.20696207],
    [1885,"Africa","Somalia","SO","SOM",706,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E, U",-1.484075684,0,0,149.9940588,59.99904939,37.49962867,27.27253086,21.42845018,17.64697659,14.99994059,13.04343334,11.53842638,10.34479933,9.374976792,8.571409171,7.894720384,7.317059033,6.818169543,6.382967965,5.999990494,5.660368898,5.357135279,5.084738935,4.838703495,7.507100039,14.89530142,8.399345781,2.592560223,7.678879802,8.081440022,2.440210973,3.334430807],
    [1886,"Africa","Somalia","SO","SOM",706,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,9614.074837,9581.616667,null,null],
    [1887,"Africa","Somalia","SO","SOM",706,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,115.2166667,null,null],
    [1888,"Africa","Somalia","SO","SOM",706,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3.632301,3.632301,15.247809,null,null],
    [1889,"Africa","Somalia","SO","SOM",706,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,540.492,6480.4,null,null],
    [1890,"Africa","Somalia","SO","SOM",706,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","SESRIC (2022). Statistical Yearbook on OIC Member Countries 2021, Statistical, Economic and Social Research and Training Centre for Islamic Countries. Available at: https://www.sesric.org/files/article/808.pdf","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,null,null,null,null,null,null,null,null,null,null,null,null,0,0,0,null],
    [1891,"Africa","Somalia","SO","SOM",706,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",9,5,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,2,1,1,1,null,null,null,0,0,0,null],
    [1892,"Africa","Somalia","SO","SOM",706,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [1893,"Africa","Somalia","SO","SOM",706,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [1894,"Africa","Somalia","SO","SOM",706,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [1895,"Africa","Somalia","SO","SOM",706,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [1896,"Africa","Somalia","SO","SOM",706,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1897,"Africa","Somalia","SO","SOM",706,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1898,"Africa","Somalia","SO","SOM",706,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1899,"Africa","Somalia","SO","SOM",706,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [1900,"Africa","South Sudan","SS","SSD",728,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",5.49262,5.420179,5.305449,5.185712,5.111371,5.118084,5.221925,5.411653,5.661934,5.933884,6.199396,6.447791,6.688225,6.935665,7.213354,7.535931,7.907407,8.315144,8.736932,9.142258,9.508372,9.830695,10.113648,10.35503,10.554882,10.715657,10.83252,10.910774,10.975924,11.062114,11.193729,11.381377],
    [1901,"Africa","South Sudan","SS","SSD",728,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",13.276,14.074,14.912,15.626,15.749,15.873,15.997,16.123,16.249,16.376,16.504,16.632,16.761,16.891,17.023,17.154,17.287,17.42,17.555,17.701,17.86,18.032,18.217,18.415,18.626,18.852,19.092,19.346,19.615,19.899,20.199,20.514],
    [1902,"Africa","South Sudan","SS","SSD",728,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",86.724,85.926,85.088,84.374,84.251,84.127,84.003,83.877,83.751,83.624,83.496,83.368,83.239,83.109,82.977,82.846,82.713,82.58,82.445,82.299,82.14,81.968,81.783,81.585,81.374,81.148,80.908,80.654,80.385,80.101,79.801,79.486],
    [1903,"Africa","South Sudan","SS","SSD",728,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",-0.344632328,-1.327653228,-2.139443512,-2.282725418,-1.443948576,0.131248458,2.00859576,3.568848361,4.521093849,4.691344335,4.377289464,3.928572358,3.661092603,3.632842202,3.925709079,4.374835081,4.811753396,5.027851545,4.94806677,4.534830261,3.926527277,3.333695991,2.837616522,2.358659319,1.911610971,1.511744126,1.084677797,0.719802049,0.595340534,0.782197031,1.182759371,1.662471236],
    [1904,"Africa","South Sudan","SS","SSD",728,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A, G, U",16880.47076,16880.47076,16880.47076,16880.47076,16880.47076,16880.47076,16880.47076,16880.47076,16880.47076,16880.47076,16880.47076,16880.47076,16880.47076,16880.47076,16880.47076,16880.47076,16880.47076,16880.47076,20185.21779,21202.88418,22367.6469,21329.71723,11500.53084,13010.51961,13449.44881,11997.80076,16880.47076,16880.47076,16880.47076,16880.47076,16880.47076,16880.47076],
    [1905,"Africa","South Sudan","SS","SSD",728,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, G, U",7.884633825,7.884633825,7.884633825,7.884633825,7.884633825,7.884633825,7.884633825,7.884633825,7.884633825,7.884633825,7.884633825,7.884633825,7.884633825,7.884633825,7.884633825,7.884633825,7.884633825,7.884633825,4.195442824,5.22004161,5.293793483,4.676936817,6.176132174,9.635809346,7.596508444,10.35502745,9.652676785,8.704850728,9.058395931,10.22011853,9.575404638,10.02373479],
    [1906,"Africa","South Sudan","SS","SSD",728,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E, G, U",13.58512418,13.58512418,13.58512418,13.58512418,13.58512418,13.58512418,13.58512418,13.58512418,13.58512418,13.58512418,13.58512418,13.58512418,13.58512418,13.58512418,13.58512418,13.58512418,13.58512418,13.58512418,19.11605584,18.88926898,19.60419196,19.72084445,16.14477356,6.069192194,14.67452397,9.853414761,9.690355871,10.00228274,12.50280626,13.1949805,10.714585,10.01446243],
    [1907,"Africa","South Sudan","SS","SSD",728,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E, G, U",13.58512418,13.58512418,13.58512418,13.58512418,13.58512418,13.58512418,13.58512418,13.58512418,13.58512418,13.58512418,13.58512418,13.58512418,13.58512418,13.58512418,13.58512418,13.58512418,13.58512418,13.58512418,19.11605584,18.88926898,19.60419196,19.72084445,16.14477356,6.069192194,14.67452397,9.853414761,9.690355871,10.00228274,12.50280626,13.1949805,10.714585,10.01446243],
    [1908,"Africa","South Sudan","SS","SSD",728,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, G, U",3.434195428,3.434195428,3.434195428,3.434195428,3.434195428,3.434195428,3.434195428,3.434195428,3.434195428,3.434195428,3.434195428,3.434195428,3.434195428,3.434195428,3.434195428,3.434195428,3.434195428,3.434195428,1.838673419,2.610020805,2.331123774,2.063109892,2.715971552,4.017251079,2.675835618,3.534277011,3.776506096,4.01873518,4.260964265,4.50319335,4.745422434,4.987651519],
    [1909,"Africa","South Sudan","SS","SSD",728,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, G, U",47.92579821,47.92579821,47.92579821,47.92579821,47.92579821,47.92579821,47.92579821,47.92579821,47.92579821,47.92579821,47.92579821,47.92579821,47.92579821,47.92579821,47.92579821,47.92579821,47.92579821,47.92579821,36.61771622,35.50213065,33.56250686,34.09741994,42.6735756,68.13936299,45.70408402,56.55045126,57.49974951,57.26956588,49.17222102,45.69174662,53.53541794,54.94522641],
    [1910,"Africa","South Sudan","SS","SSD",728,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E, G, U",13.58512418,13.58512418,13.58512418,13.58512418,13.58512418,13.58512418,13.58512418,13.58512418,13.58512418,13.58512418,13.58512418,13.58512418,13.58512418,13.58512418,13.58512418,13.58512418,13.58512418,13.58512418,19.11605584,18.88926898,19.60419196,19.72084445,16.14477356,6.069192194,14.67452397,9.853414761,9.690355871,10.00228274,12.50280626,13.1949805,10.714585,10.01446243],
    [1911,"Africa","South Sudan","SS","SSD",728,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A, G, U",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,19.57733921,5.04164188,5.493416395,-4.640316736,-46.08212237,13.12973114,3.373648477,-10.79336463,40.69637512,0,0,0,0,0],
    [1912,"Africa","South Sudan","SS","SSD",728,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,6285.584457,8990.6,null,null],
    [1913,"Africa","South Sudan","SS","SSD",728,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.410229,106.4,null,null],
    [1914,"Africa","South Sudan","SS","SSD",728,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,970.853,2135.8,null,null],
    [1915,"Africa","South Sudan","SS","SSD",728,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,26.832546,17.2,null,null],
    [1916,"Africa","South Sudan","SS","SSD",728,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [1917,"Africa","South Sudan","SS","SSD",728,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [1918,"Africa","South Sudan","SS","SSD",728,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [1919,"Africa","South Sudan","SS","SSD",728,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [1920,"Africa","South Sudan","SS","SSD",728,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1921,"Africa","South Sudan","SS","SSD",728,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1922,"Africa","South Sudan","SS","SSD",728,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1923,"Africa","South Sudan","SS","SSD",728,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [1924,"Africa","Eswatini","SZ","SWZ",748,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",0.822423,0.845267,0.866995,0.887706,0.907622,0.926836,0.945506,0.963416,0.979922,0.994105,1.005432,1.013608,1.019054,1.022796,1.026287,1.030575,1.036095,1.042651,1.049948,1.057462,1.064841,1.072029,1.079285,1.086843,1.095022,1.104038,1.113994,1.124808,1.136274,1.148133,1.160164,1.172369],
    [1925,"Africa","Eswatini","SZ","SWZ",748,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",20.202,20.607,21.018,21.434,21.857,22.286,22.722,23.081,22.949,22.817,22.686,22.555,22.425,22.296,22.166,22.038,21.91,21.829,22.045,22.262,22.48,22.7,22.849,22.999,23.149,23.3,23.459,23.625,23.799,23.981,24.171,24.369],
    [1926,"Africa","Eswatini","SZ","SWZ",748,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",79.798,79.393,78.982,78.566,78.143,77.714,77.278,76.919,77.051,77.183,77.314,77.445,77.575,77.704,77.834,77.962,78.09,78.171,77.955,77.738,77.52,77.3,77.151,77.001,76.851,76.7,76.541,76.375,76.201,76.019,75.829,75.631],
    [1927,"Africa","Eswatini","SZ","SWZ",748,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",2.952239828,2.739769254,2.538065597,2.360739734,2.218738527,2.094864277,1.994359879,1.876506798,1.698767475,1.436985822,1.1329744,0.809894276,0.535850331,0.366530763,0.340738113,0.416946418,0.534193957,0.630766985,0.697413081,0.713105835,0.695379475,0.672762228,0.674567033,0.697837863,0.749729091,0.819991316,0.897738794,0.966059893,1.014213397,1.038265645,1.042422959,1.046511358],
    [1928,"Africa","Eswatini","SZ","SWZ",748,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",1857.308363,1890.00398,1950.979419,2011.579066,2059.870865,2159.273055,2242.233484,2311.805625,2372.005954,2442.00089,2484.984349,2511.195091,2621.187925,2722.895615,2821.571016,2990.830757,3170.046325,3310.649786,3337.852201,3390.091218,3518.702972,3597.776312,3791.935013,3938.349731,3974.709779,4063.245671,4106.422134,4189.641988,4289.479666,4401.077166,4319.634145,4640.415891],
    [1929,"Africa","Eswatini","SZ","SWZ",748,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",8.871486638,9.83193216,7.719655179,8.870007934,11.42108289,10.07948034,11.98418778,10.8705419,11.0243645,11.11877168,12.31597575,12.09922052,12.50254377,12.38526361,9.659472724,10.9717566,11.18421584,10.75417526,9.999453904,9.250385772,10.15621273,9.71988392,10.20333564,10.11581049,9.234248843,9.354311403,8.959862917,8.427761974,8.526884647,8.598221398,8.363605499,8.930399866],
    [1930,"Africa","Eswatini","SZ","SWZ",748,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E",6.687769243,6.259878566,6.729423684,6.116207717,6.647186125,7.021690042,6.740880203,6.981764984,7.035714723,7.216844317,2.754094198,2.837177101,3.117115696,2.888622005,2.963071187,2.740486978,2.464473073,2.325286199,2.304627917,2.464903911,2.587574207,2.812088799,3.463138642,3.602071278,3.28853562,2.950859394,2.819547937,2.89792249,3.040696449,3.183819037,3.848511446,4.245985313],
    [1931,"Africa","Eswatini","SZ","SWZ",748,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",6.687769243,6.259878566,6.729423684,6.116207717,6.647186125,7.021690042,6.740880203,6.981764984,7.035714723,7.216844317,2.754094198,2.837177101,3.117115696,2.888622005,2.963071187,2.740486978,2.464473073,2.325286199,2.304627917,2.464903911,2.587574207,2.812088799,3.463138642,3.602071278,3.28853562,2.950859394,2.819547937,2.89792249,3.040696449,3.183819037,3.848511446,4.245985313],
    [1932,"Africa","Eswatini","SZ","SWZ",748,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",31.42155327,31.54375023,30.0697026,31.4538265,30.75505268,32.77370532,31.87550144,33.02423906,32.91066349,32.1324338,33.86420508,34.26538759,33.69901953,33.0148947,33.93914698,34.23648693,34.49022424,35.21546165,34.59717481,34.79175403,32.52848802,31.68918025,31.01901265,29.64226635,30.64160892,31.71397586,31.23146028,29.81041845,29.03095719,29.75299236,26.48722268,26.79354314],
    [1933,"Africa","Eswatini","SZ","SWZ",748,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",39.64365236,39.84468191,42.02237117,41.32754242,37.88230606,36.08174421,35.91767017,35.15992409,34.95782784,35.09826157,45.55753658,45.12386059,44.44708962,45.93397568,47.51216673,46.57029554,46.9321407,47.05450449,48.48948754,48.56314846,49.55257663,50.15466944,48.38823578,49.43570933,50.25853538,50.07913455,51.35003299,53.06805211,53.32006881,52.09732913,53.60363748,51.53810105],
    [1934,"Africa","Eswatini","SZ","SWZ",748,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E",6.687769243,6.259878566,6.729423684,6.116207717,6.647186125,7.021690042,6.740880203,6.981764984,7.035714723,7.216844317,2.754094198,2.837177101,3.117115696,2.888622005,2.963071187,2.740486978,2.464473073,2.325286199,2.304627917,2.464903911,2.587574207,2.812088799,3.463138642,3.602071278,3.28853562,2.950859394,2.819547937,2.89792249,3.040696449,3.183819037,3.848511446,4.245985313],
    [1935,"Africa","Eswatini","SZ","SWZ",748,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",21.01800054,1.760376349,3.226206881,3.106114157,2.400691039,4.82565155,3.842053638,3.10280535,2.604039401,2.950875211,1.76017376,1.054764906,4.380099088,3.880213586,3.623914226,5.99877655,5.992166838,4.435375577,0.821663914,1.565048852,3.793754968,2.247229761,5.396630697,3.861213798,0.923230547,2.227480675,1.062610193,2.026578156,2.382964423,2.601655874,-1.85052471,7.426132285],
    [1936,"Africa","Eswatini","SZ","SWZ",748,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,8094.979942,8581.8,null,null],
    [1937,"Africa","Eswatini","SZ","SWZ",748,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","The World Bank (2023). Railways, passengers carried (million passenger-km). Available at: https://data.worldbank.org/indicator/IS.RRS.PASG.KM","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.5,0.4,0.2,0.1,0.1,null,null,null,null,null,null,null,null,null,null],
    [1938,"Africa","Eswatini","SZ","SWZ",748,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.000294,163,null,null],
    [1939,"Africa","Eswatini","SZ","SWZ",748,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,18.354912,null,null],
    [1940,"Africa","Eswatini","SZ","SWZ",748,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.12195,562.4,null,null],
    [1941,"Africa","Eswatini","SZ","SWZ",748,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","The World Bank (2023). Railways, goods transported (million ton-km). Available at: https://data.worldbank.org/indicator/IS.RRS.GOOD.MT.K6","A",null,null,null,null,null,null,null,null,null,null,null,null,689,699,710,734,680,null,null,null,776,862,null,null,null,null,null,null,null,null,null,null],
    [1942,"Africa","Eswatini","SZ","SWZ",748,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,96.121085,570.2,null,null],
    [1943,"Africa","Eswatini","SZ","SWZ",748,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",0.200000003,0.100000002,0.200000003,0.200000003,0.200000003,0.100000002,0.100000002,0.100000002,0.100000002,0.200000003,0.257,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.056064,0.043615,0.015399,0.037413],
    [1944,"Africa","Eswatini","SZ","SWZ",748,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","Eswatini Data Portal (2023). Dataset Browser. Available at: https://swaziland.opendataforafrica.org/data/#topic=Transport","A",null,null,null,null,null,null,null,null,null,null,0.26,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1945,"Africa","Eswatini","SZ","SWZ",748,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.043615,null,null],
    [1946,"Africa","Eswatini","SZ","SWZ",748,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,99830,null,null,null,null,null],
    [1947,"Africa","Eswatini","SZ","SWZ",748,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [1948,"Africa","Eswatini","SZ","SWZ",748,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [1949,"Africa","Eswatini","SZ","SWZ",748,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [1950,"Africa","Eswatini","SZ","SWZ",748,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [1951,"Africa","Eswatini","SZ","SWZ",748,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1952,"Africa","Eswatini","SZ","SWZ",748,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1953,"Africa","Eswatini","SZ","SWZ",748,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1954,"Africa","Eswatini","SZ","SWZ",748,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [1955,"Africa","Chad","TD","TCD",148,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",5.96325,6.157085,6.356741,6.563925,6.781057,7.010159,7.250974,7.503494,7.770053,8.053532,8.355654,8.678049,9.019226,9.373913,9.734761,10.09663,10.457122,10.818031,11.183589,11.560142,11.952134,12.360986,12.784748,13.220433,13.663562,14.110971,14.561658,15.016761,15.477727,15.946882,16.425859,16.914985],
    [1956,"Africa","Chad","TD","TCD",148,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",20.811,21.023,21.235,21.408,21.44,21.473,21.506,21.538,21.571,21.604,21.637,21.67,21.702,21.735,21.768,21.801,21.834,21.868,21.901,21.934,21.985,22.054,22.142,22.248,22.372,22.515,22.677,22.858,23.059,23.279,23.52,23.781],
    [1957,"Africa","Chad","TD","TCD",148,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",79.189,78.977,78.765,78.592,78.56,78.527,78.494,78.462,78.429,78.396,78.363,78.33,78.298,78.265,78.232,78.199,78.166,78.132,78.099,78.066,78.015,77.946,77.858,77.752,77.628,77.485,77.323,77.142,76.941,76.721,76.48,76.219],
    [1958,"Africa","Chad","TD","TCD",148,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",3.226267661,3.198781679,3.191237338,3.207292257,3.25442423,3.322739317,3.3775422,3.423297406,3.490820674,3.583376751,3.68276825,3.785829836,3.856178726,3.857209739,3.777246946,3.649861687,3.508157257,3.393100167,3.323315685,3.311571102,3.334669293,3.363538247,3.370767564,3.351068934,3.296899421,3.221999844,3.143932997,3.077506736,3.023504548,2.986130147,2.95935371,2.934305412],
    [1959,"Africa","Chad","TD","TCD",148,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",2501.264385,2714.750731,2931.969973,2471.362268,2721.881484,2755.538891,2816.559557,2975.790719,3182.655189,3160.922421,3133.116386,3498.379313,3795.434041,4354.185202,5818.470335,6826.958668,6871.215248,7096.007026,7312.626232,7621.050543,8653.710578,8660.881891,9430.191313,9967.712346,10655.48301,10950.39222,10265.38747,9958.586245,10195.00685,10526.05727,10357.63964,10233.34895],
    [1960,"Africa","Chad","TD","TCD",148,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",27.8887351,35.50774911,34.32443894,31.37189478,37.21826977,35.05869459,37.54791875,38.34466366,39.00494665,38.06880108,40.70509403,40.2954383,37.9029524,32.28602338,22.89717623,53.81412435,55.77192044,54.67325498,54.5898348,46.54939263,51.94562302,51.19620013,54.89981381,50.04519248,50.64757656,50.3955823,46.12580311,48.61308641,45.09623634,42.59444912,46.83284533,53.98852574],
    [1961,"Africa","Chad","TD","TCD",148,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E",2.635164732,1.763386931,1.884442797,2.064624562,1.431229278,1.510262916,2.017054843,2.042509505,2.177876991,2.218773659,2.04244078,2.498318426,3.03426787,6.547979921,14.46472927,3.628480309,3.669184611,3.800904544,4.024606351,4.980907135,4.55627718,4.828101861,3.738959091,4.738186282,5.191141666,4.595472618,6.808682641,4.984691071,4.834927608,4.694729248,2.132609641,2.320951299],
    [1962,"Africa","Chad","TD","TCD",148,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",2.635164732,1.763386931,1.884442797,2.064624562,1.431229278,1.510262916,2.017054843,2.042509505,2.177876991,2.218773659,2.04244078,2.498318426,3.03426787,6.547979921,14.46472927,3.628480309,3.669184611,3.800904544,4.024606351,4.980907135,4.55627718,4.828101861,3.738959091,4.738186282,5.191141666,4.595472618,6.808682641,4.984691071,4.834927608,4.694729248,2.132609641,2.320951299],
    [1963,"Africa","Chad","TD","TCD",148,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",13.72107812,10.32066898,10.27738985,10.7793897,9.067988235,10.98750911,10.12948238,11.54361395,10.77824247,9.780753893,8.588088903,9.211454147,9.062188908,7.671362554,5.020708816,0.232607691,0.695835858,0.675446632,0.767680705,0.996386264,0.972748014,1.726396538,2.058839922,2.720242879,2.687991149,2.778290083,2.955106324,2.925709554,2.873903769,2.854010194,3.191500401,3.388759915],
    [1964,"Africa","Chad","TD","TCD",148,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",50.48469258,48.88142111,49.74484282,51.65484184,49.42005416,49.42300755,46.27143434,43.98419387,43.68317991,45.49412405,44.57949473,42.99815227,43.93205508,40.39867431,28.68792715,35.06782703,32.52468987,33.24858476,32.56866544,37.5114997,33.41279742,32.59309775,31.824469,33.0200058,31.09100729,33.03970976,30.49304264,33.50713083,37.52507707,40.46735294,43.57782534,35.65986045],
    [1965,"Africa","Chad","TD","TCD",148,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E",2.635164732,1.763386931,1.884442797,2.064624562,1.431229278,1.510262916,2.017054843,2.042509505,2.177876991,2.218773659,2.04244078,2.498318426,3.03426787,6.547979921,14.46472927,3.628480309,3.669184611,3.800904544,4.024606351,4.980907135,4.55627718,4.828101861,3.738959091,4.738186282,5.191141666,4.595472618,6.808682641,4.984691071,4.834927608,4.694729248,2.132609641,2.320951299],
    [1966,"Africa","Chad","TD","TCD",148,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",-4.178472373,8.535137166,8.001443346,-15.70983705,10.13688763,1.236549317,2.214473035,5.653392328,6.951579914,-0.682850217,-0.879681025,11.65813465,8.491209819,14.72166701,33.62937185,17.33253374,0.648262014,3.271499579,3.052691532,4.217695552,13.55010086,0.082869798,8.882576072,5.700001363,6.899985045,2.767675685,-6.255527085,-2.988695986,2.3740378,3.247181917,-1.600006737,-1.199990525],
    [1967,"Africa","Chad","TD","TCD",148,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7317.427376,8641.390909,null,null],
    [1968,"Africa","Chad","TD","TCD",148,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,16.23845,177.7,null,null],
    [1969,"Africa","Chad","TD","TCD",148,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","African Development Bank Group (2016). National Infrastructure Database 2016. Available at: https://infrastructureafrica.opendataforafrica.org/ecvrmgg/national-infrastructure-database-2016","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,465.01,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [1970,"Africa","Chad","TD","TCD",148,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,5941.2,4209.6,null,null],
    [1971,"Africa","Chad","TD","TCD",148,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",17.70000076,16.10000038,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,0.778287172,0.551042456,0.456396,0.471912,null,null,null,null,null,null,null],
    [1972,"Africa","Chad","TD","TCD",148,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,0.78,0.55,0.46,null,null,null,null,null,null,null,null],
    [1973,"Africa","Chad","TD","TCD",148,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","SESRIC (2022). Statistical Yearbook on OIC Member Countries 2021, Statistical, Economic and Social Research and Training Centre for Islamic Countries. Available at: https://www.sesric.org/files/article/808.pdf","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,null,null,null,null,null,null,null,null,null,null,null],
    [1974,"Africa","Chad","TD","TCD",148,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,620.445165,null,null,null],
    [1975,"Africa","Chad","TD","TCD",148,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1124000,null,null,null,null,null],
    [1976,"Africa","Chad","TD","TCD",148,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [1977,"Africa","Chad","TD","TCD",148,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [1978,"Africa","Chad","TD","TCD",148,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [1979,"Africa","Chad","TD","TCD",148,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [1980,"Africa","Chad","TD","TCD",148,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1981,"Africa","Chad","TD","TCD",148,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1982,"Africa","Chad","TD","TCD",148,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [1983,"Africa","Chad","TD","TCD",148,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [1984,"Africa","Togo","TG","TGO",768,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",3.77431,3.862998,3.945902,4.029044,4.120615,4.226293,4.348808,4.485945,4.632451,4.780455,4.924406,5.062571,5.19704,5.330629,5.46777,5.611643,5.762881,5.92036,6.083417,6.25084,6.421674,6.595939,6.773807,6.954721,7.137997,7.323162,7.509952,7.698476,7.889095,8.082359,8.278737,8.478242],
    [1985,"Africa","Togo","TG","TGO",768,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",28.589,29.005,29.425,29.848,30.275,30.705,31.139,31.576,32.016,32.46,32.907,33.356,33.809,34.265,34.724,35.185,35.649,36.116,36.587,37.058,37.533,38.032,38.546,39.061,39.579,40.1,40.628,41.162,41.702,42.248,42.8,43.358],
    [1986,"Africa","Togo","TG","TGO",768,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",71.411,70.995,70.575,70.152,69.725,69.295,68.861,68.424,67.984,67.54,67.093,66.644,66.191,65.735,65.276,64.815,64.351,63.884,63.413,62.942,62.467,61.968,61.454,60.939,60.421,59.9,59.372,58.838,58.298,57.752,57.2,56.642],
    [1987,"Africa","Togo","TG","TGO",768,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",2.569431037,2.322598141,2.123400606,2.085155496,2.247329709,2.532282543,2.857653507,3.10473911,3.213692602,3.144962858,2.966792796,2.767079881,2.621477572,2.538000973,2.540161259,2.597269147,2.659397674,2.695973458,2.716928683,2.714931003,2.696297666,2.677532525,2.660910607,2.635744685,2.601149524,2.560999713,2.518687236,2.479331291,2.445903893,2.420235924,2.400663516,2.381269646],
    [1988,"Africa","Togo","TG","TGO",768,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",2005.232669,1991.196692,1911.933388,1623.311222,1866.522435,2012.966656,2190.83665,2505.821507,2448.190705,2508.948713,2489.291612,2509.789403,2605.829571,2780.945785,2753.729633,2625.232364,2694.80449,2663.137293,2771.320663,2924.793934,3103.184696,3301.73263,3517.781736,3732.800625,3953.804392,4180.866177,4413.283843,4605.162314,4834.325004,5098.275352,5187.639195,5460.53988],
    [1989,"Africa","Togo","TG","TGO",768,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",33.75411482,32.82417093,35.26324642,44.143647,34.92287991,37.76285037,40.83710311,42.19238597,34.96374082,36.93322318,30.56164478,33.92963181,33.1543868,28.3790964,31.11188892,36.55005838,33.64337311,29.13972393,38.90206949,30.9296085,28.73929888,29.87507362,42.52391813,37.51484194,25.6848698,24.37400299,20.75798341,20.63860852,20.44048838,19.75520676,18.77664831,19.27843789],
    [1990,"Africa","Togo","TG","TGO",768,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E",4.200032324,4.679698048,4.060439301,3.858984258,4.035626037,4.095624777,3.942274071,3.902375657,3.30678775,3.266694064,2.823026522,2.490833992,2.69353394,2.463666102,2.560937707,2.673241358,2.863947686,2.516577033,3.088716369,2.530173175,2.582041844,3.089665591,6.919728692,8.526579035,12.94602363,13.80086742,5.349880357,5.384094496,5.212765796,5.610148251,5.842375798,5.915126277],
    [1991,"Africa","Togo","TG","TGO",768,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",4.200032324,4.679698048,4.060439301,3.858984258,4.035626037,4.095624777,3.942274071,3.902375657,3.30678775,3.266694064,2.823026522,2.490833992,2.69353394,2.463666102,2.560937707,2.673241358,2.863947686,2.516577033,3.088716369,2.530173175,2.582041844,3.089665591,6.919728692,8.526579035,12.94602363,13.80086742,5.349880357,5.384094496,5.212765796,5.610148251,5.842375798,5.915126277],
    [1992,"Africa","Togo","TG","TGO",768,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",9.928405567,11.11647816,11.59173506,9.099857895,9.120795907,9.893855248,9.233664778,8.416149879,6.941051194,6.409727958,7.46296374,7.957815054,7.886258207,7.205470053,7.040317483,7.923105905,8.681059561,7.835589007,8.101200397,7.430367024,7.23288887,7.853066956,6.892033762,6.054568641,7.422353828,6.807005648,14.02324712,13.95300053,13.81588792,13.80042945,14.38103974,13.71337971],
    [1993,"Africa","Togo","TG","TGO",768,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",43.71738264,42.02025676,40.96370062,35.17954233,43.84944607,40.05642005,38.1024099,37.68433718,48.17484474,46.85696667,53.50631192,50.64005116,50.87875317,57.02443524,54.16498047,47.50711164,49.08372427,55.47495596,43.73058101,54.04950495,56.28168672,53.00286265,29.82486204,30.85085232,28.05470547,27.4163891,49.1691284,49.25610746,50.10532631,49.61391903,49.31518456,49.26280357],
    [1994,"Africa","Togo","TG","TGO",768,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E",4.200032324,4.679698048,4.060439301,3.858984258,4.035626037,4.095624777,3.942274071,3.902375657,3.30678775,3.266694064,2.823026522,2.490833992,2.69353394,2.463666102,2.560937707,2.673241358,2.863947686,2.516577033,3.088716369,2.530173175,2.582041844,3.089665591,6.919728692,8.526579035,12.94602363,13.80086742,5.349880357,5.384094496,5.212765796,5.610148251,5.842375798,5.915126277],
    [1995,"Africa","Togo","TG","TGO",768,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",-0.243656134,-0.699967494,-3.980686814,-15.09582749,14.98241435,7.845832319,8.836211632,14.37737757,-2.299876568,2.481751436,-0.783479606,0.823438749,3.82662258,6.720171423,-0.978665335,-4.666299382,2.6501321,-1.175120391,4.062252827,5.537910973,6.099259163,6.398199053,6.543507029,6.112343077,5.920588573,5.742868453,5.559079305,4.347748238,4.9762131,5.459921448,1.752824967,5.260594925],
    [1996,"Africa","Togo","TG","TGO",768,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,4953.940527,8550.066667,null,null],
    [1997,"Africa","Togo","TG","TGO",768,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.031799,464.4,null,null],
    [1998,"Africa","Togo","TG","TGO",768,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,517.319349,636.82043,851.005964,null,null],
    [1999,"Africa","Togo","TG","TGO",768,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,881.431,972.2,null,null],
    [2000,"Africa","Togo","TG","TGO",768,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,120.638489,null,null,null],
    [2001,"Africa","Togo","TG","TGO",768,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","SESRIC (2022). Statistical Yearbook on OIC Member Countries 2021, Statistical, Economic and Social Research and Training Centre for Islamic Countries. Available at: https://www.sesric.org/files/article/808.pdf","A",null,null,null,null,null,null,null,null,null,null,12,null,null,null,null,null,null,null,null,null,53,null,null,null,null,7,8,9,11,15,10,null],
    [2002,"Africa","Togo","TG","TGO",768,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",18,16,15,14,14,15,16,15,14,14,12,7,null,null,null,null,null,null,null,null,53,53,54,32,41,7,8,9,11,15,10,18],
    [2003,"Africa","Togo","TG","TGO",768,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,8.565828,10.89276,14.865775,null,null],
    [2004,"Africa","Togo","TG","TGO",768,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,75772,57850,55556,58506,76132,null,null],
    [2005,"Africa","Togo","TG","TGO",768,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,55623,39071,35774,37223,51791,null,null],
    [2006,"Africa","Togo","TG","TGO",768,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,14500,14079,14328,15607,18072,null,null],
    [2007,"Africa","Togo","TG","TGO",768,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,87,62,73,83,133,null,null],
    [2008,"Africa","Togo","TG","TGO",768,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3229,2923,3149,3224,3682,null,null],
    [2009,"Africa","Togo","TG","TGO",768,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2333,1715,2232,2369,2454,null,null],
    [2010,"Africa","Togo","TG","TGO",768,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [2011,"Africa","Togo","TG","TGO",768,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [2012,"Africa","Togo","TG","TGO",768,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [2013,"Africa","Togo","TG","TGO",768,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [2014,"Africa","Togo","TG","TGO",768,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [2015,"Africa","Togo","TG","TGO",768,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [2016,"Africa","Togo","TG","TGO",768,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [2017,"Africa","Togo","TG","TGO",768,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [2018,"Asia","Thailand","TH","THA",764,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",56.558196,57.232471,57.811025,58.337773,58.875275,59.467272,60.13019,60.846588,61.585103,62.298569,62.952639,63.53919,64.069093,64.549867,64.995303,65.416189,65.81254,66.182064,66.53098,66.866834,67.195032,67.518379,67.835969,68.144519,68.438748,68.714519,68.971313,69.209817,69.428454,69.625581,69.799978,69.950844],
    [2019,"Asia","Thailand","TH","THA",764,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",29.424,29.593,29.763,29.934,30.105,30.276,30.449,30.622,30.795,30.969,31.386,32.548,33.734,34.941,36.169,37.411,38.673,39.95,41.242,42.543,43.856,44.698,45.445,46.193,46.943,47.694,48.448,49.2,49.949,50.692,51.43,52.163],
    [2020,"Asia","Thailand","TH","THA",764,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",70.576,70.407,70.237,70.066,69.895,69.724,69.551,69.378,69.205,69.031,68.614,67.452,66.266,65.059,63.831,62.589,61.327,60.05,58.758,57.457,56.144,55.302,54.555,53.807,53.057,52.306,51.552,50.8,50.051,49.308,48.57,47.837],
    [2021,"Asia","Thailand","TH","THA",764,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",1.399514422,1.18512864,1.005808929,0.90702895,0.917143231,1.000488756,1.108593407,1.184370069,1.206426132,1.151844915,1.044422574,0.927419911,0.830519827,0.747597771,0.687694887,0.645476031,0.604063162,0.5599092,0.525821417,0.503538551,0.489622688,0.480052607,0.46927282,0.453815888,0.430842608,0.402136059,0.373014847,0.34520522,0.315406676,0.283525943,0.250165167,0.215907222],
    [2022,"Asia","Thailand","TH","THA",764,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",144045.0632,156372.8147,169013.0361,182959.8497,197591.194,213636.2221,225710.8227,219495.7056,202739.3259,212009.1919,221454.7251,229082.1773,243168.523,260650.4997,277043.7014,288645.2899,302984.6421,319452.317,324965.1019,322720.8337,346968.1103,349883.1007,375224.4206,385308.5603,389101.8031,401296.4374,415081.603,432422.3884,450683.0249,460380.1738,431857.37,438621.5319],
    [2023,"Asia","Thailand","TH","THA",764,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",12.49962783,12.6498266,12.29733574,8.025829297,8.627547715,9.081224598,9.063416493,9.06490231,10.25922711,8.892995278,8.499848121,8.57928745,8.69217818,9.441354958,9.291110139,9.194355282,9.401993466,9.347684701,10.07243383,9.787033759,10.52217564,11.59179178,11.50410015,11.32221534,10.08892162,8.872723648,8.478076963,8.406412587,8.201819262,8.125879722,8.697681656,8.547805149],
    [2024,"Asia","Thailand","TH","THA",764,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E",1.414393632,1.122308341,1.584924251,3.560072554,3.697903819,3.689969416,3.805095958,3.365475591,2.987955965,2.734650486,2.764654366,2.831412005,2.793133224,2.779223982,2.827778147,2.963380884,2.992925304,2.94797407,2.974960807,3.048819608,2.997082293,2.995172449,3.123635595,3.10329924,3.063179803,2.935035377,2.814175345,2.667981349,2.676551759,2.656163173,2.584292491,2.587207469],
    [2025,"Asia","Thailand","TH","THA",764,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",1.414393632,1.122308341,1.584924251,3.560072554,3.697903819,3.689969416,3.805095958,3.365475591,2.987955965,2.734650486,2.764654366,2.831412005,2.793133224,2.779223982,2.827778147,2.963380884,2.992925304,2.94797407,2.974960807,3.048819608,2.997082293,2.995172449,3.123635595,3.10329924,3.063179803,2.935035377,2.814175345,2.667981349,2.676551759,2.656163173,2.584292491,2.587207469],
    [2026,"Asia","Thailand","TH","THA",764,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",27.203606,28.24108711,27.51715424,26.17463978,25.90148248,26.20811198,25.66599779,26.46817301,27.14785944,28.17494832,28.37544528,27.82676748,28.51503178,29.58050295,29.41896805,29.61506806,30.16807997,30.58744967,30.55473054,29.46214007,30.93047882,28.99588092,27.97278735,27.58869075,27.57350096,27.3740712,27.14423937,27.01481548,26.71283439,25.619617,25.48997752,27.01320768],
    [2027,"Asia","Thailand","TH","THA",764,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",56.05358527,55.74216127,55.43073727,55.11931326,54.37725835,53.64075518,53.85529784,54.37049791,53.62904555,54.72810495,54.8307435,55.09970906,54.41339037,52.64047015,52.80658737,52.30043401,51.45115065,51.22094342,50.44795321,51.60436735,49.55609866,50.42680995,51.15220571,51.7791962,53.14803802,54.94809903,55.93515763,56.57482789,57.05569107,58.28601376,58.05946335,56.67736476],
    [2028,"Asia","Thailand","TH","THA",764,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E",1.414393632,1.122308341,1.584924251,3.560072554,3.697903819,3.689969416,3.805095958,3.365475591,2.987955965,2.734650486,2.764654366,2.831412005,2.793133224,2.779223982,2.827778147,2.963380884,2.992925304,2.94797407,2.974960807,3.048819608,2.997082293,2.995172449,3.123635595,3.10329924,3.063179803,2.935035377,2.814175345,2.667981349,2.676551759,2.656163173,2.584292491,2.587207469],
    [2029,"Asia","Thailand","TH","THA",764,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",11.16716344,8.558260321,8.083388023,8.251915915,7.997024667,8.120315346,5.651944465,-2.753575153,-7.634035286,4.572307751,4.455247043,3.44424901,6.149036052,7.189243303,6.289342143,4.187638429,4.967810892,5.435151691,1.725698849,-0.690618232,7.513390533,0.840132083,7.242796202,2.687495563,0.984468864,3.134047249,3.435157717,4.177681032,4.222870287,2.151656122,-6.19548916,1.566295338],
    [2030,"Asia","Thailand","TH","THA",764,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,438060,437899,452172,452040,510514,558196,690882,643164,663561,696062,695426,715798,735051,null,null],
    [2031,"Asia","Thailand","TH","THA",764,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,125107.6314,null,null,null],
    [2032,"Asia","Thailand","TH","THA",764,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,663561,696062,695426,715798,735051,null,null],
    [2033,"Asia","Thailand","TH","THA",764,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",11611.631,12819.567,14135.915,13702.498,13814.33,12975.009,12205.324,11804.322,10946.849,9893.724,9935.213,10321.1,10378.044,10250.742,9332.099,9052.07,8824.223,8037.827,8224.74,8813.56,8245.976,8032.162,7139.062,7028.602,6473.119,6133.426,6106.858,6520.452,5906.537,null,null,null],
    [2034,"Asia","Thailand","TH","THA",764,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,330768.7157,null,null,null],
    [2035,"Asia","Thailand","TH","THA",764,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","The World Bank (2023). Railways, passengers carried (million passenger-km). Available at: https://data.worldbank.org/indicator/IS.RRS.PASG.KM","A",null,null,null,null,null,12975,12205,11804,10947,9894,9935,10321,10378,10251,9195,9195,null,8037,null,null,8187,8032,null,null,null,6181,null,6020,null,null,null,null],
    [2036,"Asia","Thailand","TH","THA",764,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,6133.426,6106.858,6567.31,5980.147,5993.399,null,null],
    [2037,"Asia","Thailand","TH","THA",764,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UIC (2023). International Railway Statistics, Traffic on the national Territory - PKm, VAR 5113, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,9935,10321,10378,10251,9195,9195,null,8037,null,null,8187,8032,null,null,null,6181,null,6020,null,null,null,null],
    [2038,"Asia","Thailand","TH","THA",764,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,119168.871,132748.1261,null,null,null],
    [2039,"Asia","Thailand","TH","THA",764,"Passenger activity","All","All","All","All","TRAN_PA_NAT","million passenger-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,446098,446124,460986,460285.976,518546,565335,697911,649637,669694,702169,701946,721705,735051,null,null],
    [2040,"Asia","Thailand","TH","THA",764,"Passenger activity","All","All","All","All","TRAN_PA_NAT","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,669694.4,702168.9,701993.3,721778.2,741044.4,null,null],
    [2041,"Asia","Thailand","TH","THA",764,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,187330,193911,189110,191613,192075,null,null,null],
    [2042,"Asia","Thailand","TH","THA",764,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,190797.6,null,null,null],
    [2043,"Asia","Thailand","TH","THA",764,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,193911,189110,191613,192075,null,null,null],
    [2044,"Asia","Thailand","TH","THA",764,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2294.93,2545.33,2646.55,2846.14,2769.13,null,null,null],
    [2045,"Asia","Thailand","TH","THA",764,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,24881.04,null,null,null],
    [2046,"Asia","Thailand","TH","THA",764,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","The World Bank (2023). Railways, goods transported (million ton-km). Available at: https://data.worldbank.org/indicator/IS.RRS.GOOD.MT.K6","A",null,null,null,null,null,3242,3286,3482,2874,2927,2247,null,3894,4057,4037,4037,null,3161,null,null,2701,2562,null,null,null,null,null,null,null,null,null,null],
    [2047,"Asia","Thailand","TH","THA",764,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2545,2647,2846,2769,2623.6,2813.8,null],
    [2048,"Asia","Thailand","TH","THA",764,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UIC (2023). International Railway Statistics, Global Traffic -Domestic traffic in millions of tonne kilometres, VAR 6757, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1857,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [2049,"Asia","Thailand","TH","THA",764,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2511.891368,2666.263256,null,null,null],
    [2050,"Asia","Thailand","TH","THA",764,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",661,866.2000122,925.9000244,1060.300049,1236.699951,1307.900024,1348.199951,1628.300049,1522.199951,1670.599976,1712.88,1669.242,1823.591,1764.122,1868.578,2002.424,2106.87,2454.554,2288.961,2132.553,2938.670392,2870.788883,2758.438836,2640.367634,2524.64667,2136.728479,2160.069653,2511.891368,2666.263256,2327.667095,684.208676,604.020922],
    [2051,"Asia","Thailand","TH","THA",764,"Freight activity","Aviation","All","All","Domestic","AVIA_GONC_DOM","milion ton-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,30998,34795,40537,27281,19071,22388,29309,35903,34634,23764,25337,27221,31992,36023,34790,24232,null,null],
    [2052,"Asia","Thailand","TH","THA",764,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7993.44,7160.72,7056.38,7403.77,7808.17,null,null,null],
    [2053,"Asia","Thailand","TH","THA",764,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2371.863,null,null,null],
    [2054,"Asia","Thailand","TH","THA",764,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7161,7056,7404,7808,null,null,null],
    [2055,"Asia","Thailand","TH","THA",764,"Freight activity","All","All","All","All","TRAN_GO_NAT","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,203617,198813,201863,202652,null,null,null],
    [2056,"Asia","Thailand","TH","THA",764,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",7592810,8427086,9557890,11062456,24535877,14059827,16070080,24634586,18829836,null,20804927,22564336,24497100,26357862,20914719,25266294,24807297,25618447,26076063,27184577,28484829,30194937,32476977,35504406,35835180,36731023,39124339,38308763,null,null,41388896,null],
    [2057,"Asia","Thailand","TH","THA",764,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,36125268,36714586,37664606,38883696,40021792,40765260,null],
    [2058,"Asia","Thailand","TH","THA",764,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",4800056,5544136,6343338,7312512,9302962,9363408,10764120,11700409,12514228,null,13868466,15285049,16630858,18261808,13232381,15526219,15803047,16142962,16448527,16729447,17322538,18174922,19169418,19987190,20327755,20519498,22283496,20717645,null,null,21561593,null],
    [2059,"Asia","Thailand","TH","THA",764,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,20519498,20497296,20717645,21099526,21425044,21588423,null],
    [2060,"Asia","Thailand","TH","THA",764,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7857293,8304026,8834850,9460917,10084202,10538556,null],
    [2061,"Asia","Thailand","TH","THA",764,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",424512,462117,500149,533056,561545,611468,681411,7727997,741358,null,774707,803869,822892,809168,1099967,765994,848843,880495,905779,926342,954787,990426,1037334,1104231,1153369,1184503,1213516,1249518,null,null,1325248,null],
    [2062,"Asia","Thailand","TH","THA",764,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,582160,580020,585199,586794,587210,586430,null],
    [2063,"Asia","Thailand","TH","THA",764,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",2176587,2265391,2549352,3030092,14484305,3898353,4422785,5002649,5378744,null,5952301,6287233,6868370,7115770,6454247,8790891,7972760,8401814,8491880,9257693,9887706,10651817,11827710,13023547,13793784,14421267,15003774,15697443,null,null,17799570,null],
    [2064,"Asia","Thailand","TH","THA",764,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,6135571,6277527,6437291,6614402,6775668,6878050,null],
    [2065,"Asia","Thailand","TH","THA",764,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",115705,76456,81606,92750,89207,95998,99825,110045,112025,null,114607,101674,102634,105355,71368,96523,92042,100360,135905,173708,221884,276150,337092,401071,449762,490121,506042,522416,null,null,578006,null],
    [2066,"Asia","Thailand","TH","THA",764,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1030746,1055717,1089621,1122057,1149668,1173801,null],
    [2067,"Asia","Thailand","TH","THA",764,"Vehicle stock","Road","Special purpose vehicle","All","All","ROAD_EQS_SPECIA","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",75950,78986,83445,94046,97858,90600,101939,93486,83481,null,94846,86511,72346,65761,56756,86667,90605,92816,93972,97387,97914,101622,105423,988367,110510,115634,117511,121741,null,null,124479,null],
    [2068,"Asia","Thailand","TH","THA",764,"Energy intensity","Road","Motorcycle","All","All","NRG_EIP_MOTORC","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.5,null,null,null],
    [2069,"Asia","Thailand","TH","THA",764,"Energy intensity","Road","Car","All","All","NRG_EIP_CAR","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.8,null,null,null],
    [2070,"Asia","Thailand","TH","THA",764,"Energy intensity","Road","Minibus ","All","All","NRG_EIP_MINIBU","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I, W",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.7,null,null,null],
    [2071,"Asia","Thailand","TH","THA",764,"Energy intensity","Road","Bus","All","All","NRG_EIP_BUS","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I, W",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.7,null,null,null],
    [2072,"Asia","Thailand","TH","THA",764,"Energy intensity","Road","Light-duty vehicle","All","All","NRG_EIP_LDV","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.7,null,null,null],
    [2073,"Asia","Thailand","TH","THA",764,"Energy intensity","Rail","All","All","All","NRG_EIP_RAIL","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.2,null,null,null],
    [2074,"Asia","Thailand","TH","THA",764,"Energy intensity","Aviation","All","All","All","NRG_EIP_AVI","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.8,null,null,null],
    [2075,"Africa","Tunisia","TN","TUN",788,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",8.242509,8.427851,8.613855,8.795934,8.967916,9.1254,9.267335,9.395119,9.509862,9.613587,9.708347,9.793915,9.871261,9.945282,10.022278,10.106778,10.201211,10.304729,10.414425,10.525691,10.635245,10.741872,10.846993,10.952949,11.063195,11.179951,11.303942,11.433438,11.565203,11.694721,11.818618,11.935764],
    [2076,"Africa","Tunisia","TN","TUN",788,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",57.946,58.756,59.562,60.362,61.078,61.474,61.87,62.262,62.653,63.043,63.432,63.818,64.202,64.585,64.95,65.237,65.524,65.809,66.093,66.376,66.657,66.938,67.218,67.495,67.772,68.056,68.346,68.642,68.945,69.254,69.568,69.888],
    [2077,"Africa","Tunisia","TN","TUN",788,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",42.054,41.244,40.438,39.638,38.922,38.526,38.13,37.738,37.347,36.957,36.568,36.182,35.798,35.415,35.05,34.763,34.476,34.191,33.907,33.624,33.343,33.062,32.782,32.505,32.228,31.944,31.654,31.358,31.055,30.746,30.432,30.112],
    [2078,"Africa","Tunisia","TN","TUN",788,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",2.236505303,2.223702876,2.183013681,2.091761583,1.936374984,1.740841504,1.543411761,1.369444737,1.213906631,1.084804495,0.980862058,0.877524352,0.786633172,0.747066169,0.771214727,0.839587275,0.930015086,1.009647735,1.058894827,1.062716626,1.035445491,0.997589004,0.973852315,0.972083635,1.001509815,1.049825167,1.102942955,1.139070554,1.145862851,1.113669491,1.053854127,0.986318648],
    [2079,"Africa","Tunisia","TN","TUN",788,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",17602.1942,18289.47984,19717.10705,20148.87795,20789.29217,21278.18769,22798.74421,24039.211,25189.18976,26714.30313,27972.53957,29034.45316,29418.4504,30801.82347,32722.56072,33863.4477,35639.28071,38030.50572,39642.15545,40848.64468,42062.31213,41201.4506,42938.78274,43982.16549,45341.35869,45780.12847,46291.68746,47327.62074,48569.88957,49212.15986,44913.48964,46414.85888],
    [2080,"Africa","Tunisia","TN","TUN",788,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",15.72066533,16.72070364,16.12237155,14.70913183,12.55801895,11.36654195,13.71320078,11.23460342,10.60074514,10.60633896,10.00631935,9.421855706,8.298481514,9.291497518,9.902545155,9.169831148,9.280709499,8.642019874,7.848649979,8.456606655,6.84614617,7.576844504,8.300257256,7.969308648,8.571659566,9.206000292,8.525542941,8.986036882,9.888525519,9.642318712,10.18660698,9.145991619],
    [2081,"Africa","Tunisia","TN","TUN",788,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E",8.087317511,8.169836836,8.423197965,8.070654027,7.938003516,7.751283344,7.592453701,6.885059175,6.842949686,7.018349635,6.820482853,6.648837873,6.526104418,6.228915299,6.17265514,6.282868811,5.99678295,6.162433528,6.312160927,6.199739138,7.177416185,6.539852078,6.390032023,6.332925396,6.458633096,5.945950159,5.987830398,5.515026396,5.378477769,5.317603536,5.316860533,5.468933632],
    [2082,"Africa","Tunisia","TN","TUN",788,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",8.087317511,8.169836836,8.423197965,8.070654027,7.938003516,7.751283344,7.592453701,6.885059175,6.842949686,7.018349635,6.820482853,6.648837873,6.526104418,6.228915299,6.17265514,6.282868811,5.99678295,6.162433528,6.312160927,6.199739138,7.177416185,6.539852078,6.390032023,6.332925396,6.458633096,5.945950159,5.987830398,5.515026396,5.378477769,5.317603536,5.316860533,5.468933632],
    [2083,"Africa","Tunisia","TN","TUN",788,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",16.88656305,16.94849029,16.5309577,17.19839051,18.47500285,18.96456679,18.32814967,16.72637883,16.65733562,16.49740224,16.31004233,16.55053801,16.54863652,16.07968745,15.77687089,15.65236082,16.15475061,16.8400365,18.13862776,16.93690224,15.72391041,15.96951608,15.43494647,15.00824302,14.5464537,14.01022023,13.80886714,14.20093401,14.51717256,14.36745789,13.75758154,14.53674524],
    [2084,"Africa","Tunisia","TN","TUN",788,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",43.13081909,41.82129556,42.07707686,43.88051558,45.15296766,46.41504123,45.18128845,51.38384023,52.21307018,51.84120989,53.22218976,54.08109266,55.57456871,55.94206914,55.80261854,56.3292016,56.57419104,56.03064304,55.07623948,56.00727369,55.89769487,56.83408318,57.0947002,58.02367214,57.50598745,58.945929,59.70209872,60.26794992,59.45886862,60.03741279,60.10522988,59.91046224],
    [2085,"Africa","Tunisia","TN","TUN",788,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E",8.087317511,8.169836836,8.423197965,8.070654027,7.938003516,7.751283344,7.592453701,6.885059175,6.842949686,7.018349635,6.820482853,6.648837873,6.526104418,6.228915299,6.17265514,6.282868811,5.99678295,6.162433528,6.312160927,6.199739138,7.177416185,6.539852078,6.390032023,6.332925396,6.458633096,5.945950159,5.987830398,5.515026396,5.378477769,5.317603536,5.316860533,5.468933632],
    [2086,"Africa","Tunisia","TN","TUN",788,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",7.949819437,3.904545303,7.805728877,2.189828861,3.178411322,2.351669851,7.146080968,5.440943501,4.783762478,6.054634479,4.709972914,3.796271662,1.322557148,4.702399533,6.235790722,3.486545543,5.244099832,6.709520975,4.237781475,3.043450124,2.971132726,-2.046633872,4.216677115,2.429930917,3.090328044,0.967703198,1.117425859,2.237838669,2.624828395,1.322363089,-8.73497573,3.342802469],
    [2087,"Africa","Tunisia","TN","TUN",788,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,67360.97506,75327.74286,null,null],
    [2088,"Africa","Tunisia","TN","TUN",788,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","The World Bank (2023). Railways, passengers carried (million passenger-km). Available at: https://data.worldbank.org/indicator/IS.RRS.PASG.KM","A",null,null,null,null,null,996,988,1096,1136,1192,1257,1281,1264,1242,1294,1317,1407,1487,1493,null,1534,1114,null,null,1298,1246,1235,1164,1109,1023,581,633],
    [2089,"Africa","Tunisia","TN","TUN",788,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",1019,1020,1078,1057,1038,996,988,1095,1128,1197,1257,1281,1265,1242,1293,1294,1407,1487,1487,1493,1493,1534,1534,null,null,null,null,null,null,null,null,null],
    [2090,"Africa","Tunisia","TN","TUN",788,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1002.264139,7491,null,null],
    [2091,"Africa","Tunisia","TN","TUN",788,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UIC (2023). International Railway Statistics, Traffic on the national Territory - PKm, VAR 5113, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,1257,1281,1264,1242,1294,1317,1407,1487,1493,null,1534,1113.6,null,null,1298,1246,1235,1164,1109,1023,581.226,633.332],
    [2092,"Africa","Tunisia","TN","TUN",788,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1246,1235,1164,null,null,null,null],
    [2093,"Africa","Tunisia","TN","TUN",788,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,5768.52633,6319.07978,6408.53346,null,null],
    [2094,"Africa","Tunisia","TN","TUN",788,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","Statistiques Tunisie (2023). Tunisia Database. Available at: http://dataportal.ins.tn/en","A",null,null,null,null,null,null,null,null,null,null,14505,15510,16611,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [2095,"Africa","Tunisia","TN","TUN",788,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7090.95,13848,null,null],
    [2096,"Africa","Tunisia","TN","TUN",788,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","The World Bank (2023). Railways, goods transported (million ton-km). Available at: https://data.worldbank.org/indicator/IS.RRS.GOOD.MT.K6","A",null,null,null,null,null,2302,2309,2328,2315,1635,2282,2273,2251,2173,2082,2067,2174,2197,2073,null,2024,null,null,null,870,664,667,679,535,545,335,413],
    [2097,"Africa","Tunisia","TN","TUN",788,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",1820.34,1813,1999,1993,2210,2302,2309,2328,2347,2364,2282,2273,2252,2173,2082,2082,2174,2197,2197,2073,2073,2024,2024,null,null,null,null,null,null,null,null,null],
    [2098,"Africa","Tunisia","TN","TUN",788,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UIC (2023). International Railway Statistics, Global Traffic -Domestic traffic in millions of tonne kilometres, VAR 6757, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,2173,null,null,null,null,null,null,null,null,null,null,null,null,null,null,535,545,334.818,null],
    [2099,"Africa","Tunisia","TN","TUN",788,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,663.6,666.9,678.7,535.4,546.5,334.9,null],
    [2100,"Africa","Tunisia","TN","TUN",788,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","Statistiques Tunisie (2023). Tunisia Database. Available at: http://dataportal.ins.tn/en","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2082,null,null,2197,2073,2073,2024,2024,null,null,null,null,null,null,null,null,null],
    [2101,"Africa","Tunisia","TN","TUN",788,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2517.397283,1323.6,null,null],
    [2102,"Africa","Tunisia","TN","TUN",788,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","SESRIC (2022). Statistical Yearbook on OIC Member Countries 2021, Statistical, Economic and Social Research and Training Centre for Islamic Countries. Available at: https://www.sesric.org/files/article/808.pdf","A",null,null,null,null,null,null,null,null,null,null,21,null,null,null,null,18,null,null,null,null,15,null,null,null,null,10,8,12,13,13,7,null],
    [2103,"Africa","Tunisia","TN","TUN",788,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",19,18,16,16,17,19,18,19,20,19,21,20,19,19,20,18,19,15,15,14,15,13,16,15,13,10,8,12,13,13,7,6],
    [2104,"Africa","Tunisia","TN","TUN",788,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",19.1,17.8,16.2,16.4,17.3,18.6,18.4,18.7,20.3,19.2,20.82,20.11,19.19,19.24,20.29,18.05,18.57,15.34,15.38,13.93,14.64,12.73,15.6,14.68,14.52,null,null,null,null,null,null,null],
    [2105,"Africa","Tunisia","TN","TUN",788,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","Statistiques Tunisie (2023). Tunisia Database. Available at: http://dataportal.ins.tn/en","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,18.79,null,null,null,null,null,null,null,null],
    [2106,"Africa","Tunisia","TN","TUN",788,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,12.124027,13.234265,13.092473,null,null],
    [2107,"Africa","Tunisia","TN","TUN",788,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1660028,1741770,1826558,null,null,null,null],
    [2108,"Africa","Tunisia","TN","TUN",788,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,11622,13504,14495,null,null,null,null],
    [2109,"Africa","Tunisia","TN","TUN",788,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1153287,1208052,1272036,null,null,null,null],
    [2110,"Africa","Tunisia","TN","TUN",788,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,19685,20524,21513,null,null,null,null],
    [2111,"Africa","Tunisia","TN","TUN",788,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,419897,442029,457803,null,null,null,null],
    [2112,"Africa","Tunisia","TN","TUN",788,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,55537,57661,60711,null,null,null,null],
    [2113,"Africa","Tunisia","TN","TUN",788,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [2114,"Africa","Tunisia","TN","TUN",788,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [2115,"Africa","Tunisia","TN","TUN",788,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [2116,"Africa","Tunisia","TN","TUN",788,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [2117,"Africa","Tunisia","TN","TUN",788,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [2118,"Africa","Tunisia","TN","TUN",788,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [2119,"Africa","Tunisia","TN","TUN",788,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [2120,"Africa","Tunisia","TN","TUN",788,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [2121,"Asia","Taiwan Province of China","TW","TWN",158,"Population","All","..","..","..","POP_TOT","million people","United Nations, Department of Economic and Social Affairs, Population Division (2022). World Population Prospects 2022. Online Edition. Available at: https://population.un.org/wpp/","E",20.494844,20.677504,20.863736,21.040709,21.210726,21.376148,21.535478,21.689381,21.840306,21.987037,22.127391,22.262071,22.404179,22.535053,22.652309,22.753889,22.838723,22.911226,22.973391,23.02325,23.064914,23.101251,23.18489,23.283227,23.37744,23.467585,23.556686,23.632256,23.697792,23.754579,23.800896,23.842033],
    [2122,"Asia","Taiwan Province of China","TW","TWN",158,"Population","Urban","..","..","..","POP_URB","%","Worldometer (2022). Taiwan Population. Available at: https://www.worldometers.info/world-population/taiwan-population/","A, E",65.7,66.16,66.62,67.08,67.54,68,68.3,68.6,68.9,69.2,69.5,70,70.5,71,71.5,72,72.48,72.96,73.44,73.92,74.4,74.86,75.32,75.78,76.24,76.7,77.1,77.6,78,78.5,78.9,79.36],
    [2123,"Asia","Taiwan Province of China","TW","TWN",158,"Population","Rural","..","..","..","POP_RUR","%","Worldometer (2022). Taiwan Population. Available at: https://www.worldometers.info/world-population/taiwan-population/","A, E",34.3,33.84,33.38,32.92,32.46,32,31.7,31.4,31.1,30.8,30.5,30,29.5,29,28.5,28,27.52,27.04,26.56,26.08,25.6,25.14,24.68,24.22,23.76,23.3,22.9,22.4,22,21.5,21.1,20.64],
    [2124,"Asia","Taiwan Province of China","TW","TWN",158,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","E",1.19,0.887,0.897,0.845,0.805,0.777,0.743,0.712,0.693,0.67,0.636,0.607,0.636,0.582,0.519,0.447,0.372,0.317,0.271,0.217,0.181,0.157,0.361,0.423,0.404,0.385,0.379,0.32,0.277,0.239,0.195,0.173],
    [2125,"Asia","Taiwan Province of China","TW","TWN",158,"GDP","All","..","..","..","GDP_TOT","billion USD (2023)","International Monetary Fund (2023). World Economic Outlook. Available at: https://www.imf.org/en/publications/weo","A",166.622,187.14,222.911,236.339,256.247,279.059,292.494,303.284,279.964,303.83,330.68,299.276,307.439,317.381,346.924,374.06,386.45,406.907,415.901,390.829,444.281,483.974,495.61,512.943,535.328,534.515,543.081,590.733,609.198,611.396,673.178,775.741],
    [2126,"Asia","Taiwan Province of China","TW","TWN",158,"GDP","Agriculture","..","..","..","GDP_AGR","%","Taiwan National Statistics (2023). Breakdown of gross domestic product (GDP) of Taiwan from 2012 to 2022, by economic sector. Available at: https://www.statista.com/statistics/321366/taiwan-gdp-breakdown-by-sector/","A, E",3.56,3.473333333,3.386666667,3.3,3.213333333,3.126666667,3.04,2.44,2.36,2.44,2.02,1.9,1.81,1.7,1.66,1.64,1.59,1.47,1.57,1.7,1.61,1.74,1.7,1.73,1.85,1.76,1.87,1.82,1.69,1.68,1.58,1.43],
    [2127,"Asia","Taiwan Province of China","TW","TWN",158,"GDP","Construction","..","..","..","GDP_CON","%","Taiwan National Statistics (2023). Breakdown of gross domestic product (GDP) of Taiwan from 2012 to 2022, by economic sector. Available at: https://www.statista.com/statistics/321366/taiwan-gdp-breakdown-by-sector/","A, E",5.134,5.016666667,4.899333333,4.782,4.664666667,4.547333333,4.43,4.27,3.93,3.52,3.08,2.65,2.47,2.31,2.48,2.36,2.65,2.68,2.74,2.5,2.6,2.67,2.62,2.57,2.51,2.47,2.34,2.31,2.39,2.66,2.87,3.05],
    [2128,"Asia","Taiwan Province of China","TW","TWN",158,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",0.786,0.786666667,0.787333333,0.788,0.788666667,0.789333333,0.79,0.8,0.8,0.76,0.68,0.69,0.72,0.72,0.74,0.75,0.77,0.83,0.85,0.82,0.82,0.8,0.79,0.73,0.67,0.62,0.61,0.65,0.65,0.65,0.66,0.6],
    [2129,"Asia","Taiwan Province of China","TW","TWN",158,"GDP","Manufacturing","..","..","..","GDP_MAN","%","Taiwan National Statistics (2023). Breakdown of gross domestic product (GDP) of Taiwan from 2012 to 2022, by economic sector. Available at: https://www.statista.com/statistics/321366/taiwan-gdp-breakdown-by-sector/","A, E",24.336,24.52333333,24.71066667,24.898,25.08533333,25.27266667,25.46,25.37,25.19,24.67,25.25,23.59,25.52,26.71,27.49,27.22,27.15,27.99,26.97,26.29,28.67,28.27,28.33,29.12,30.94,31.42,32.22,32.53,32.13,30.96,32.3,34.01],
    [2130,"Asia","Taiwan Province of China","TW","TWN",158,"GDP","Service","..","..","..","GDP_SER","%","Taiwan National Statistics (2023). Breakdown of gross domestic product (GDP) of Taiwan from 2012 to 2022, by economic sector. Available at: https://www.statista.com/statistics/321366/taiwan-gdp-breakdown-by-sector/","A, E",63.302,63.41333333,63.52466667,63.636,63.74733333,63.85866667,63.97,64.89,65.49,66.49,67.05,69.21,67.53,66.71,66.1,66.6,66.58,66.01,67.56,67.22,65,65.64,65.64,64.54,62.57,61.95,61.27,61.35,62,62.86,61.1,59.81],
    [2131,"Asia","Taiwan Province of China","TW","TWN",158,"GDP","Energy","..","..","..","GDP_ENE","%","Taiwan National Statistics (2023). Breakdown of gross domestic product (GDP) of Taiwan from 2012 to 2022, by economic sector. Available at: https://www.statista.com/statistics/321366/taiwan-gdp-breakdown-by-sector/","A, E",2.882,2.786666667,2.691333333,2.596,2.500666667,2.405333333,2.31,2.23,2.23,2.12,1.92,1.96,1.95,1.85,1.53,1.43,1.26,1.02,0.31,1.47,1.3,0.88,0.92,1.31,1.46,1.78,1.69,1.34,1.14,1.19,1.49,1.1],
    [2132,"Asia","Taiwan Province of China","TW","TWN",158,"GDP growth","All","..","..","..","GDP_GRO","%","International Monetary Fund (2023). World Economic Outlook. Available at: https://www.imf.org/en/publications/weo","A",5.5,8.4,8.3,6.8,7.5,6.5,6.2,6.1,4.2,6.7,6.3,-1.4,5.5,4.2,7,5.4,5.8,6.9,0.8,-1.6,10.2,3.7,2.2,2.5,4.7,1.5,2.2,3.3,2.8,3.1,3.4,6.5],
    [2133,"Asia","Taiwan Province of China","TW","TWN",158,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,17565.27,17378.67,17053.46,17136.06,17064.3,14302.63,null],
    [2134,"Asia","Taiwan Province of China","TW","TWN",158,"Passenger activity","Road","Bus","All","All","ROAD_PA_BUS","million passenger-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,20548.765,19468.755,19410.98,17995.161,16150.892,15421.155,14417.039,14298.481,14246.73,14657.161,15236.537,15769.658,14743.627,15777.746,16100.169,16385.985,15979.244,15783.116,15882.309,16307.047,17039.888,17585.569,17927.53,18384.479,17565.272,17378.671,17053.464,17136.287,17064.21,null,null],
    [2135,"Asia","Taiwan Province of China","TW","TWN",158,"Passenger activity","Road","Private","All","All","ROAD_PA_PRIVAT","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,17565.27,17378.67,17053.46,17136.06,17064.3,14302.63,null],
    [2136,"Asia","Taiwan Province of China","TW","TWN",158,"Passenger activity","Road","Public","All","All","ROAD_PA_PUBLIC","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,0,0,0,0,0,null],
    [2137,"Asia","Taiwan Province of China","TW","TWN",158,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,9032.42,243.677,512.283,11020.368,12623.814,12268.691,12147.5,11177.674,12050.667,12255.347,12352.489,15769.12,19065.567,19277.396,20930.786,22825.847,24207.701,25322.754,26339.951,27110.887,27949.684,29003.961,29624.218,30455.602,null,null],
    [2138,"Asia","Taiwan Province of China","TW","TWN",158,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,27097.79,27936.6,28991.13,29614.61,30443.77,25556.14,null],
    [2139,"Asia","Taiwan Province of China","TW","TWN",158,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UIC (2023). International Railway Statistics, Traffic on the national Territory - PKm, VAR 5113, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,10577,10037,9666,8726,9359,9500,9339,8937,8718,8387,8998.4,9720,10186,10513.137,11037.42145,11114.97676,10967.84744,11016.32431,10864.84094,11045.60117,9314.223782,7030.029605],
    [2140,"Asia","Taiwan Province of China","TW","TWN",158,"Passenger activity","All","All","All","All","TRAN_PA_NAT","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,44663.06,45315.27,46044.59,46750.67,47508.07,39858.77,null],
    [2141,"Asia","Taiwan Province of China","TW","TWN",158,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",11543.12,11813.76,12219.89,12866.84,13091.36,12491.5,11990.98,12165.07,17426.49,18251.14,18232.95,27810.05,28341.26,28735.43,31029.11,31210.28,31218.18,30547.04,30159.53,29071.1,29631.57,29550.82,29851,38473.58,37851.7,37805.31,38532.69,40350.86,44169.16,44369.95,null,null],
    [2142,"Asia","Taiwan Province of China","TW","TWN",158,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,37805.31,38532.69,40350.86,44169.16,44369.95,44550.3,null],
    [2143,"Asia","Taiwan Province of China","TW","TWN",158,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,1903.945,2062.657,1964.39,1947.146,1844.69,1540.2,1466.932,1366.492,1278.985,1150.29,984.633,919.053,845.53,898.115,973.598,987.183,881.736,925.289,769.868,866.301,847.707,828.475,727.279,681.421,634.22,562.276,512.372,542.497,516.578,null,null],
    [2144,"Asia","Taiwan Province of China","TW","TWN",158,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,634.22,562.28,512.37,542.5,516.58,494.95,null],
    [2145,"Asia","Taiwan Province of China","TW","TWN",158,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UIC (2023). International Railway Statistics, Global Traffic -Domestic traffic in millions of tonne kilometres, VAR 6757, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,847,929,987,882,925,770,866,848,828,727,null,null,562.276426,512.372439,542.496805,516.577627,494.950741,444.969424],
    [2146,"Asia","Taiwan Province of China","TW","TWN",158,"Freight activity","Aviation","All","All","Domestic","AVIA_GONC_DOM","milion ton-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,4367.93,null,null,null,null,7326.71,null,null,11281.67,11398.74,11496.32,11145.51,9495.3,8604.61,11873.34,10590.01,9343.51,9195.63,9443.18,9079.68,8958.73,9391.88,9597.33,8846.33,null,null],
    [2147,"Asia","Taiwan Province of China","TW","TWN",158,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,975915.1,1052915.71,1130368.2,1051391.51,962343.65,1031936.25,977654.13,665414.34,579348.2,458481.12,361262.23,334674.92,285661.74,233068.64,240667.4,209911.24,212252.16,234942.87,180069.96,198799.24,216022.84,224799.46,226103.27,205807.2,273207.04,302818.67,null,null],
    [2148,"Asia","Taiwan Province of China","TW","TWN",158,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,224799,226103,205807,273207,302819,0,null],
    [2149,"Asia","Taiwan Province of China","TW","TWN",158,"Freight activity","All","All","All","All","TRAN_GO_NAT","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,263238.5,265198,246670.2,317918.7,347705.5,45045.25,null],
    [2150,"Asia","Taiwan Province of China","TW","TWN",158,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,8627679,9189121,9699394,10169641,10854179,11749456,12630609,13116700,13444075,14028307,14407878,14810148,15319369,15907867,16497869,16880674,17258658,17603330,17861204,18176222,22226684,22346398,21562645,21290279,21400863,21510650,21704365,21871240,22111807,null,1.562891712],
    [2151,"Asia","Taiwan Province of China","TW","TWN",158,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,21338789,21447231,21639574,21805897,22045602,22229357,null],
    [2152,"Asia","Taiwan Province of China","TW","TWN",158,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,6175494,6381906,6567516,6723010,7113343,7744340,8355342,8747613,9096255,9478482,9736256,9960987,10288944,10652739,11000738,11314356,11668624,12041276,12260532,12477898,15173602,15139628,14195123,13735960,13661719,13668227,13755582,13835520,13992922,null,1.265878973],
    [2153,"Asia","Taiwan Province of China","TW","TWN",158,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,13661719,13668227,13755582,13835520,13992922,14103763,null],
    [2154,"Asia","Taiwan Province of China","TW","TWN",158,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,6573746,6666006,6763422,6845711,6919256,6984750,null],
    [2155,"Asia","Taiwan Province of China","TW","TWN",158,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,13726,14069,14305,14231,14231,14343,14715,14619,15238,15572,15501,16737,17443,17997,18605,19188,18968,18884,19096,19845,29991,31098,31960,32928,33890,34531,34188,33877,33288,null,1.425178493],
    [2156,"Asia","Taiwan Province of China","TW","TWN",158,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,33890,34531,34188,33877,33288,32521,null],
    [2157,"Asia","Taiwan Province of China","TW","TWN",158,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,1901897,2203304,2493956,2784381,3047166,3280783,3515210,3611226,3616220,3789560,3890276,4039200,4193083,4386762,4597812,4651697,4672691,4647618,4679930,4764911,5960088,6091324,6236879,6405778,6573746,6666006,6763422,6845711,6919256,null,2.638081347],
    [2158,"Asia","Taiwan Province of China","TW","TWN",158,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,903739,911524,919294,926128,934456,941016,null],
    [2159,"Asia","Taiwan Province of China","TW","TWN",158,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,520708,571650,600141,618482,648474,676491,710045,707100,681170,705702,726555,753077,779112,809284,839453,854329,857103,854845,861176,873448,1012953,1023486,1037666,1054149,1069434,1078467,1086382,1090789,1100136,null,1.112769537],
    [2160,"Asia","Taiwan Province of China","TW","TWN",158,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,165695,166943,167088,164661,165680,167307,null],
    [2161,"Asia","Taiwan Province of China","TW","TWN",158,"Vehicle stock","Road","Special purpose vehicle","All","All","ROAD_EQS_SPECIA","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,15854,18192,23476,29537,30965,33499,35297,36142,35192,38991,39290,40147,40787,41085,41261,41104,41272,40707,40470,40120,50050,60862,61017,61464,62074,63419,64791,65343,66205,null,3.175917749],
    [2162,"Asia","Taiwan Province of China","TW","TWN",158,"Energy intensity","Road","Motorcycle","All","All","NRG_EIP_MOTORC","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.5,null,null,null],
    [2163,"Asia","Taiwan Province of China","TW","TWN",158,"Energy intensity","Road","Car","All","All","NRG_EIP_CAR","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.8,null,null,null],
    [2164,"Asia","Taiwan Province of China","TW","TWN",158,"Energy intensity","Road","Minibus ","All","All","NRG_EIP_MINIBU","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I, W",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.7,null,null,null],
    [2165,"Asia","Taiwan Province of China","TW","TWN",158,"Energy intensity","Road","Bus","All","All","NRG_EIP_BUS","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I, W",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.7,null,null,null],
    [2166,"Asia","Taiwan Province of China","TW","TWN",158,"Energy intensity","Road","Light-duty vehicle","All","All","NRG_EIP_LDV","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.7,null,null,null],
    [2167,"Asia","Taiwan Province of China","TW","TWN",158,"Energy intensity","Rail","All","All","All","NRG_EIP_RAIL","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.2,null,null,null],
    [2168,"Asia","Taiwan Province of China","TW","TWN",158,"Energy intensity","Aviation","All","All","All","NRG_EIP_AVI","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.8,null,null,null],
    [2169,"Africa","United Republic of Tanzania","TZ","TZA",834,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",25.203848,26.056605,26.961204,27.887204,28.792649,29.649128,30.444523,31.192853,31.924201,32.68224,33.499177,34.385849,35.33479,36.337778,37.379766,38.450323,39.548666,40.681416,41.853944,43.07383,44.346532,45.67352,47.053033,48.483132,49.960563,51.482638,53.049231,54.660345,56.313444,58.005461,59.734213,61.498438],
    [2170,"Africa","United Republic of Tanzania","TZ","TZA",834,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",18.884,19.208,19.536,19.867,20.203,20.543,20.888,21.237,21.59,21.947,22.309,22.674,23.044,23.611,24.223,24.845,25.478,26.121,26.776,27.439,28.114,28.798,29.493,30.196,30.904,31.617,32.333,33.053,33.776,34.5,35.227,35.954],
    [2171,"Africa","United Republic of Tanzania","TZ","TZA",834,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",81.116,80.792,80.464,80.133,79.797,79.457,79.112,78.763,78.41,78.053,77.691,77.326,76.956,76.389,75.777,75.155,74.522,73.879,73.224,72.561,71.886,71.202,70.507,69.804,69.096,68.383,67.667,66.947,66.224,65.5,64.773,64.046],
    [2172,"Africa","United Republic of Tanzania","TZ","TZA",834,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",3.193235329,3.327460565,3.412765688,3.376900183,3.195216588,2.931260372,2.647339411,2.428288872,2.317537614,2.34674369,2.468906027,2.61242421,2.722291754,2.798988535,2.827162562,2.823755446,2.816486775,2.823941465,2.8414655,2.872958629,2.911888941,2.948418936,2.97566284,2.994061634,3.001801057,3.001067041,2.997574458,2.991812303,2.97948066,2.960386246,2.936777704,2.910683779],
    [2173,"Africa","United Republic of Tanzania","TZ","TZA",834,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",13737.55081,14022.19124,14104.12601,14274.19368,14497.96475,15015.52932,15697.89005,16251.28434,16853.96511,17673.71901,18472.70978,19594.15258,20984.00402,22384.22251,24063.89308,25862.98655,27552.41409,29417.30894,31090.09975,32728.26983,34802.10432,37472.17586,39158.48131,41814.04724,44629.16203,47378.59903,50632.14247,54067.8777,57011.85612,60318.54376,61522.70909,64155.31783],
    [2174,"Africa","United Republic of Tanzania","TZ","TZA",834,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",42.04694153,43.85518189,44.70485693,44.82485442,41.58496338,43.6503559,44.0136032,42.60190213,26.54908033,26.43229897,26.20825887,25.80028911,25.16308225,24.9107254,25.69697633,24.64884108,23.66931073,23.24548824,24.76549388,26.03519036,25.58240689,24.97686445,26.55092652,26.79086792,25.80257745,26.74588573,27.44414257,28.74208607,27.86859954,26.54641517,26.73711127,25.88565335],
    [2175,"Africa","United Republic of Tanzania","TZ","TZA",834,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E",5.3915225,5.373603137,4.771398134,4.784117322,4.898166503,4.732384263,4.880523857,5.230873704,4.943564513,4.868120206,4.950496942,5.211537487,5.953621637,6.573563203,6.677439339,7.081896406,7.319035222,7.466889335,7.590246222,6.915553359,7.478511854,8.02313317,7.799787856,7.944228726,7.927206021,8.322460959,8.43118369,8.558760933,8.938259442,9.400305747,9.502664292,10.49270176],
    [2176,"Africa","United Republic of Tanzania","TZ","TZA",834,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",5.3915225,5.373603137,4.771398134,4.784117322,4.898166503,4.732384263,4.880523857,5.230873704,4.943564513,4.868120206,4.950496942,5.211537487,5.953621637,6.573563203,6.677439339,7.081896406,7.319035222,7.466889335,7.590246222,6.915553359,7.478511854,8.02313317,7.799787856,7.944228726,7.927206021,8.322460959,8.43118369,8.558760933,8.938259442,9.400305747,9.502664292,10.49270176],
    [2177,"Africa","United Republic of Tanzania","TZ","TZA",834,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",8.483519182,8.167375973,7.634913474,6.982120338,6.848808565,6.638801523,6.750269797,6.277762812,10.98305991,10.22506849,9.858122607,9.465636593,9.366992546,9.375857236,9.190216557,9.026503074,8.821439254,8.817414345,8.744588961,8.666675269,8.665829302,9.54869846,9.438233264,9.110895166,9.120109,7.855564961,7.813717838,7.659011283,8.073823171,8.486498749,8.503646841,8.295659686],
    [2178,"Africa","United Republic of Tanzania","TZ","TZA",834,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",33.29497179,31.85663272,33.34603519,33.84067327,36.87172855,35.51368979,34.59455543,35.42771394,47.63716622,48.73827192,49.0821277,49.09946183,47.60906029,45.99272775,45.0804891,45.07896663,45.55214435,45.53642941,43.7191785,44.55147429,43.31622825,41.40503759,40.61147665,40.26555074,41.29569549,40.43116643,39.44858852,37.92261984,37.24279896,36.76616885,36.25124901,34.3405817],
    [2179,"Africa","United Republic of Tanzania","TZ","TZA",834,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E",5.3915225,5.373603137,4.771398134,4.784117322,4.898166503,4.732384263,4.880523857,5.230873704,4.943564513,4.868120206,4.950496942,5.211537487,5.953621637,6.573563203,6.677439339,7.081896406,7.319035222,7.466889335,7.590246222,6.915553359,7.478511854,8.02313317,7.799787856,7.944228726,7.927206021,8.322460959,8.43118369,8.558760933,8.938259442,9.400305747,9.502664292,10.49270176],
    [2180,"Africa","United Republic of Tanzania","TZ","TZA",834,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",7.045071642,2.071988212,0.584322134,1.205800808,1.567661766,3.569911868,4.544366802,3.525278191,3.708511596,4.863863755,4.520784635,6.070808288,7.093194984,6.672789829,7.50381466,7.476319258,6.53222139,6.768535202,5.68641686,5.269105248,6.336523427,7.672155435,4.50015356,6.781585601,6.732461868,6.160628774,6.867116196,6.785680114,5.444967601,5.799999977,1.996343506,4.279084542],
    [2181,"Africa","United Republic of Tanzania","TZ","TZA",834,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,62551.96796,null,null,null],
    [2182,"Africa","United Republic of Tanzania","TZ","TZA",834,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,426.29,504.93,615.64,614.33,null,null,null],
    [2183,"Africa","United Republic of Tanzania","TZ","TZA",834,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UIC (2023). International Railway Statistics, Traffic on the national Territory - PKm, VAR 5113, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,428,471,445,444,433,433,475,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [2184,"Africa","United Republic of Tanzania","TZ","TZA",834,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","The World Bank (2023). Railways, passengers carried (million passenger-km). Available at: https://data.worldbank.org/indicator/IS.RRS.PASG.KM","A",null,null,null,null,null,694,586,362,244,413,428,471,445,444,433,433,475,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [2185,"Africa","United Republic of Tanzania","TZ","TZA",834,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",584.057,1354.982,1359.082,1727.882663,720.859,1383,586,362,244,851.7,946.4,471,445,444,471,628,325,475,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [2186,"Africa","United Republic of Tanzania","TZ","TZA",834,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.049132,null,null,null],
    [2187,"Africa","United Republic of Tanzania","TZ","TZA",834,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,699.113275,701.844773,null,null,null],
    [2188,"Africa","United Republic of Tanzania","TZ","TZA",834,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,12094.04553,null,null,null],
    [2189,"Africa","United Republic of Tanzania","TZ","TZA",834,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","The World Bank (2023). Railways, goods transported (million ton-km). Available at: https://data.worldbank.org/indicator/IS.RRS.GOOD.MT.K6","A",null,null,null,null,null,2116,2031,1866,708,1822,1195,2069,1487,1468,1196,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [2190,"Africa","United Republic of Tanzania","TZ","TZA",834,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,334,360.47,609.56,715.3,null,null,null],
    [2191,"Africa","United Republic of Tanzania","TZ","TZA",834,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",1407.9,2321.8,2247.4,2808.6,1108,2117,1218,1108,955,1873.8,1990.1,1380,1487,1468,1351,1196,728,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [2192,"Africa","United Republic of Tanzania","TZ","TZA",834,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","National Bureau of Statistics (2019). Tanzania Socio-Economic Database. Available at: http://www.tsed.go.tz/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,2337,2059,1931,1536,1270,1304,994,963,1078,628,404,439,334,360,null,null,null,null,null],
    [2193,"Africa","United Republic of Tanzania","TZ","TZA",834,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3094.859509,null,null,null],
    [2194,"Africa","United Republic of Tanzania","TZ","TZA",834,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",1.399999976,4.199999809,2.099999905,1.799999952,2.099999905,2.900000095,3,3.099999905,3.5,2.299999952,3.449,3.252,2.321,1.785,2.25,1.853,1.69,1.447,1.446,0.781,1.249246,1.17475174,1.627987307,0.003641454,0.564368726,2.213882,0.536721,0.281228,0.487269,0.962933,0.857297,4.359006],
    [2195,"Africa","United Republic of Tanzania","TZ","TZA",834,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",1.4,4.2,2.1,1.8,2.1,2.9,3,3.1,3.5,2.3,3.45,3.25,2.32,1.79,2.25,1.85,1.69,1.45,1.45,0.78,1.25,1.17,1.63,2.01,2.31,null,null,null,null,null,null,null],
    [2196,"Africa","United Republic of Tanzania","TZ","TZA",834,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.281228,0.392645,null,null,null],
    [2197,"Africa","United Republic of Tanzania","TZ","TZA",834,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1840012,2067197,2249650,2427695,null,null,null],
    [2198,"Africa","United Republic of Tanzania","TZ","TZA",834,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1090187,1263986,1404423,1530655,null,null,null],
    [2199,"Africa","United Republic of Tanzania","TZ","TZA",834,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","African Development Bank (2013). Tanzania Transport Sector Review. Available at: https://www.afdb.org/fileadmin/uploads/afdb/Documents/Project-and-Operations/Tanzania_-_Transport_Sector_Review.pdf ","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,31375,48527,77371,123866,211991,329748,null,null,null,null,null,null,null,null,null,null,null],
    [2200,"Africa","United Republic of Tanzania","TZ","TZA",834,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","African Development Bank (2013). Tanzania Transport Sector Review. Available at: https://www.afdb.org/fileadmin/uploads/afdb/Documents/Project-and-Operations/Tanzania_-_Transport_Sector_Review.pdf ","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,113138,148872,171821,200810,238785,279120,null,null,null,null,null,null,null,null,null,null,null],
    [2201,"Africa","United Republic of Tanzania","TZ","TZA",834,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,507607,547264,579512,617487,null,null,null],
    [2202,"Africa","United Republic of Tanzania","TZ","TZA",834,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,54748,57879,60709,63773,null,null,null],
    [2203,"Africa","United Republic of Tanzania","TZ","TZA",834,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","African Development Bank (2013). Tanzania Transport Sector Review. Available at: https://www.afdb.org/fileadmin/uploads/afdb/Documents/Project-and-Operations/Tanzania_-_Transport_Sector_Review.pdf ","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,18943,24443,27200,30630,34592,38809,null,null,null,null,null,null,null,null,null,null,null],
    [2204,"Africa","United Republic of Tanzania","TZ","TZA",834,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,92068,99034,102071,106475,null,null,null],
    [2205,"Africa","United Republic of Tanzania","TZ","TZA",834,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","African Development Bank (2013). Tanzania Transport Sector Review. Available at: https://www.afdb.org/fileadmin/uploads/afdb/Documents/Project-and-Operations/Tanzania_-_Transport_Sector_Review.pdf ","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,30018,38022,43712,48877,54852,59690,null,null,null,null,null,null,null,null,null,null,null],
    [2206,"Africa","United Republic of Tanzania","TZ","TZA",834,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,95402,99034,102935,109305,null,null,null],
    [2207,"Africa","United Republic of Tanzania","TZ","TZA",834,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","African Development Bank (2013). Tanzania Transport Sector Review. Available at: https://www.afdb.org/fileadmin/uploads/afdb/Documents/Project-and-Operations/Tanzania_-_Transport_Sector_Review.pdf ","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,27649,37064,43811,51477,59066,64790,null,null,null,null,null,null,null,null,null,null,null],
    [2208,"Africa","United Republic of Tanzania","TZ","TZA",834,"Vehicle stock","Road","Trailer","All","All","ROAD_EQS_TRAILE","n","African Development Bank (2013). Tanzania Transport Sector Review. Available at: https://www.afdb.org/fileadmin/uploads/afdb/Documents/Project-and-Operations/Tanzania_-_Transport_Sector_Review.pdf ","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,4536,7297,9103,10849,13042,15472,null,null,null,null,null,null,null,null,null,null,null],
    [2209,"Africa","United Republic of Tanzania","TZ","TZA",834,"Vehicle stock","Road","Agricultural and forestry tractors","All","All","ROAD_EQS_TRACTO","n","African Development Bank (2013). Tanzania Transport Sector Review. Available at: https://www.afdb.org/fileadmin/uploads/afdb/Documents/Project-and-Operations/Tanzania_-_Transport_Sector_Review.pdf ","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,4271,5836,7074,8095,9236,10717,null,null,null,null,null,null,null,null,null,null,null],
    [2210,"Africa","United Republic of Tanzania","TZ","TZA",834,"Vehicle stock","Road","Special purpose vehicle","All","All","ROAD_EQS_SPECIA","n","African Development Bank (2013). Tanzania Transport Sector Review. Available at: https://www.afdb.org/fileadmin/uploads/afdb/Documents/Project-and-Operations/Tanzania_-_Transport_Sector_Review.pdf ","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,237,273,310,326,510,700,null,null,null,null,null,null,null,null,null,null,null],
    [2211,"Africa","United Republic of Tanzania","TZ","TZA",834,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [2212,"Africa","United Republic of Tanzania","TZ","TZA",834,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [2213,"Africa","United Republic of Tanzania","TZ","TZA",834,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [2214,"Africa","United Republic of Tanzania","TZ","TZA",834,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [2215,"Africa","United Republic of Tanzania","TZ","TZA",834,"Load factor","Road","Car","All","Urban","NRG_LF_CARURB","passenger/vehicle","Merven, B., Stone, A., Hughes, A. and Cohen, B. (2012). Quantifying the energy needs of the transport sector for South Africa: A bottom-up model. University of Cape Town, Cape Town. Available at: https://open.uct.ac.za/handle/11427/16905","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.9,null,null,null,null,null,null,null,null,null,null,null],
    [2216,"Africa","United Republic of Tanzania","TZ","TZA",834,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [2217,"Africa","United Republic of Tanzania","TZ","TZA",834,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [2218,"Africa","United Republic of Tanzania","TZ","TZA",834,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [2219,"Africa","United Republic of Tanzania","TZ","TZA",834,"Load factor","Road","Minibus","All","Urban","NRG_LF_MINIBUURB","passenger/vehicle","Merven, B., Stone, A., Hughes, A. and Cohen, B. (2012). Quantifying the energy needs of the transport sector for South Africa: A bottom-up model. University of Cape Town, Cape Town. Available at: https://open.uct.ac.za/handle/11427/16905","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,29,null,null,null,null,null,null,null,null,null,null,null],
    [2220,"Africa","United Republic of Tanzania","TZ","TZA",834,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [2221,"Africa","United Republic of Tanzania","TZ","TZA",834,"Load factor","Road","Bus","Diesel","Urban","NRG_LF_BUSDIEURB","passenger/vehicle","Merven, B., Stone, A., Hughes, A. and Cohen, B. (2012). Quantifying the energy needs of the transport sector for South Africa: A bottom-up model. University of Cape Town, Cape Town. Available at: https://open.uct.ac.za/handle/11427/16905","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,45,null,null,null,null,null,null,null,null,null,null,null],
    [2222,"Africa","Uganda","UG","UGA",800,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",17.354395,17.953534,18.561668,19.175986,19.793541,20.413157,21.032817,21.655392,22.290787,22.952406,23.650159,24.388974,25.167261,25.980547,26.8213,27.68459,28.571475,29.486335,30.431734,31.411096,32.428164,33.476772,34.5587,35.694519,36.91153,38.225447,39.649173,41.166588,42.729032,44.269587,45.741,47.123533],
    [2223,"Africa","Uganda","UG","UGA",800,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",11.076,11.454,11.79,12.133,12.485,12.846,13.216,13.594,13.982,14.379,14.786,15.201,15.626,16.061,16.507,16.96,17.425,17.899,18.384,18.878,19.383,19.898,20.424,20.958,21.504,22.06,22.624,23.196,23.774,24.361,24.954,25.553],
    [2224,"Africa","Uganda","UG","UGA",800,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",88.924,88.546,88.21,87.867,87.515,87.154,86.784,86.406,86.018,85.621,85.214,84.799,84.374,83.939,83.493,83.04,82.575,82.101,81.616,81.122,80.617,80.102,79.576,79.042,78.496,77.94,77.376,76.804,76.226,75.639,75.046,74.447],
    [2225,"Africa","Uganda","UG","UGA",800,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",3.466926593,3.394118734,3.331161823,3.256017304,3.169690531,3.082397158,2.99042883,2.917054432,2.891897753,2.924931353,2.994707035,3.076130696,3.141283828,3.180408248,3.184828229,3.167959273,3.153290179,3.15180932,3.155900984,3.167526076,3.186609818,3.182452073,3.180750229,3.23378201,3.352682078,3.49774773,3.65686447,3.755686611,3.725163906,3.541932206,3.269713347,2.977746425],
    [2226,"Africa","Uganda","UG","UGA",800,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",6498.038202,6858.945449,7093.408683,7684.02664,8176.083716,9118.233777,9945.450393,10452.66855,10965.39969,11848.54732,12220.8177,12854.30348,13976.82941,14881.58573,15894.60999,16901.14652,18723.89197,20299.02552,22066.81729,23567.6957,24896.35085,27234.53036,28279.64337,29294.00754,30789.8496,32387.18384,33935.6152,34998.27693,37204.54163,39600.0472,40768.76594,42146.60078],
    [2227,"Africa","Uganda","UG","UGA",800,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",53.2829074,49.37254064,48.20294349,48.28488218,46.16984867,45.29538761,41.03720152,38.11995975,38.25104851,34.78597875,27.50910688,27.85024148,23.433428,24.50702258,21.67035264,25.07493613,24.03493298,22.27811368,21.38459856,34.05722624,32.30043413,28.69736875,26.93267196,26.04318783,24.86325629,23.53781298,22.66032279,23.45883538,23.25029354,22.94550881,23.92903372,23.79854851],
    [2228,"Africa","Uganda","UG","UGA",800,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E",3.631917787,4.215557859,4.114600438,4.328467713,4.770472418,5.056231481,5.551846763,5.784122701,5.745957311,6.166035516,6.907212737,6.769368365,7.157013485,7.299806226,6.644122509,7.53449916,7.251552151,7.889988384,8.137518233,1.618700718,2.057353425,2.817871444,3.99012315,4.623709666,5.212268743,5.128417135,5.559171072,5.846556375,5.877152611,6.196690887,5.812568489,5.930719682],
    [2229,"Africa","Uganda","UG","UGA",800,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",3.631917787,4.215557859,4.114600438,4.328467713,4.770472418,5.056231481,5.551846763,5.784122701,5.745957311,6.166035516,6.907212737,6.769368365,7.157013485,7.299806226,6.644122509,7.53449916,7.251552151,7.889988384,8.137518233,1.618700718,2.057353425,2.817871444,3.99012315,4.623709666,5.212268743,5.128417135,5.559171072,5.846556375,5.877152611,6.196690887,5.812568489,5.930719682],
    [2230,"Africa","Uganda","UG","UGA",800,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",5.341025639,5.438035758,5.820887289,5.598405977,6.030379954,6.229189396,7.147086558,7.787954277,8.28110036,8.893207736,7.098978105,7.061988776,7.354144342,7.055683803,6.364934006,7.009315598,7.090616066,7.1258231,7.30696526,16.46053595,16.74254697,17.07324688,16.65388692,15.549582,15.45540248,16.77956087,16.2297476,15.52299609,15.77935562,15.46630748,15.79525672,16.47239531],
    [2231,"Africa","Uganda","UG","UGA",800,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",30.4803136,32.54275002,33.6323679,33.1313087,33.48835412,33.30672855,35.16017163,36.73971787,36.22997919,37.82270697,44.6702768,44.77966465,47.7413872,46.53787494,52.03234582,45.31225079,47.1197945,46.92609807,46.89588148,44.62613566,44.78495863,45.77577003,44.44307167,44.53610117,44.044535,44.29737475,44.4324164,43.47849941,43.338893,42.99811105,42.83800409,41.93689714],
    [2232,"Africa","Uganda","UG","UGA",800,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E",3.631917787,4.215557859,4.114600438,4.328467713,4.770472418,5.056231481,5.551846763,5.784122701,5.745957311,6.166035516,6.907212737,6.769368365,7.157013485,7.299806226,6.644122509,7.53449916,7.251552151,7.889988384,8.137518233,1.618700718,2.057353425,2.817871444,3.99012315,4.623709666,5.212268743,5.128417135,5.559171072,5.846556375,5.877152611,6.196690887,5.812568489,5.930719682],
    [2233,"Africa","Uganda","UG","UGA",800,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",6.474140153,5.554095496,3.418356891,8.32629252,6.403635743,11.52324381,9.072114582,5.100001863,4.905265484,8.053948376,3.141907339,5.183661126,8.732685764,6.473258671,6.807233344,6.332565116,10.78474439,8.412425965,8.708751901,6.801517348,5.637611638,9.391655493,3.837455606,3.586905826,5.106307324,5.187859862,4.781000291,3.131405518,6.303923781,6.438745034,2.951306422,3.379633422],
    [2234,"Africa","Uganda","UG","UGA",800,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,24680.84093,49344.93333,null,null],
    [2235,"Africa","Uganda","UG","UGA",800,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",351.098,59.772,74,59.5,34.8,30,null,5.028,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [2236,"Africa","Uganda","UG","UGA",800,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,62.11893,11227.4,null,null],
    [2237,"Africa","Uganda","UG","UGA",800,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,4.667856,4.119235,4.640891,null,null],
    [2238,"Africa","Uganda","UG","UGA",800,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,6738.47,11463.8,null,null],
    [2239,"Africa","Uganda","UG","UGA",800,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","The World Bank (2023). Railways, goods transported (million ton-km). Available at: https://data.worldbank.org/indicator/IS.RRS.GOOD.MT.K6","A",null,null,null,null,null,227,236,148,147,200,210,220,218,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [2240,"Africa","Uganda","UG","UGA",800,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",159,138,119,135,208,236,null,104,112.6,200,210,220,218,218,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [2241,"Africa","Uganda","UG","UGA",800,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","Uganda Data Portal (2023). Dataset Browser. Available at: https://uganda.opendataforafrica.org/data/#topic=Transport","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,218,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [2242,"Africa","Uganda","UG","UGA",800,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1316.330766,3227.4,null,null],
    [2243,"Africa","Uganda","UG","UGA",800,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,189.081,130.114,70.05,38.053,41.77,41.12,null],
    [2244,"Africa","Uganda","UG","UGA",800,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",22,null,0,0,1,1,1,1,3,22,21,21,21,23,27,29,34,31,30,27,1,1,1,1,1,0,0,null,0,0,null,null],
    [2245,"Africa","Uganda","UG","UGA",800,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","SESRIC (2022). Statistical Yearbook on OIC Member Countries 2021, Statistical, Economic and Social Research and Training Centre for Islamic Countries. Available at: https://www.sesric.org/files/article/808.pdf","A",null,null,null,null,null,null,null,null,null,null,21,null,null,null,null,29,null,null,null,null,1,null,null,null,null,0.02,0.02,null,0,0.06,0.03,null],
    [2246,"Africa","Uganda","UG","UGA",800,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.055325,null,null],
    [2247,"Africa","Uganda","UG","UGA",800,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1215.411888,18.2,null,null],
    [2248,"Africa","Uganda","UG","UGA",800,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,949431,null,null,null,null,null],
    [2249,"Africa","Uganda","UG","UGA",800,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,946096,null,null,null,null,null],
    [2250,"Africa","Uganda","UG","UGA",800,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","Uganda Data Portal (2023). Dataset Browser. Available at: https://uganda.opendataforafrica.org/data/#topic=Transport; IRF (2023); World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,613486,702262,784100,862965,946096,1039123,null,null,null,null],
    [2251,"Africa","Uganda","UG","UGA",800,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","Uganda Data Portal (2023). Dataset Browser. Available at: https://uganda.opendataforafrica.org/data/#topic=Transport","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,45169,90729,134066,167816,209821,null,null,null,null],
    [2252,"Africa","Uganda","UG","UGA",800,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3335,null,null,null,null,null],
    [2253,"Africa","Uganda","UG","UGA",800,"Vehicle stock","Road","Public","All","All","ROAD_EQS_PUBLIC","n","Uganda Data Portal (2023). Dataset Browser. Available at: https://uganda.opendataforafrica.org/data/#topic=Transport","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,15572,17634,15316,11119,17325,null,null,null,null],
    [2254,"Africa","Uganda","UG","UGA",800,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [2255,"Africa","Uganda","UG","UGA",800,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [2256,"Africa","Uganda","UG","UGA",800,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [2257,"Africa","Uganda","UG","UGA",800,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [2258,"Africa","Uganda","UG","UGA",800,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [2259,"Africa","Uganda","UG","UGA",800,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [2260,"Africa","Uganda","UG","UGA",800,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [2261,"Africa","Uganda","UG","UGA",800,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [2262,"Asia","Viet Nam","VN","VNM",704,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",67.988855,69.436956,70.883488,72.300308,73.65122,74.910462,76.068739,77.133212,78.115712,79.035871,79.910411,80.7425,81.534406,82.30165,83.062819,83.832662,84.617545,85.419588,86.243424,87.09225,87.967655,88.871384,89.801926,90.752593,91.71385,92.677082,93.640435,94.600643,95.545959,96.462108,97.338583,98.168829],
    [2263,"Asia","Viet Nam","VN","VNM",704,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",20.257,20.629,21.006,21.387,21.774,22.166,22.563,22.965,23.371,23.817,24.374,24.937,25.511,26.092,26.683,27.281,27.888,28.504,29.128,29.762,30.417,31.08,31.752,32.429,33.115,33.809,34.51,35.213,35.919,36.628,37.34,38.052],
    [2264,"Asia","Viet Nam","VN","VNM",704,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",79.743,79.371,78.994,78.613,78.226,77.834,77.437,77.035,76.629,76.183,75.626,75.063,74.489,73.908,73.317,72.719,72.112,71.496,70.872,70.238,69.583,68.92,68.248,67.571,66.885,66.191,65.49,64.787,64.081,63.372,62.66,61.948],
    [2265,"Asia","Viet Nam","VN","VNM",704,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",2.138677878,2.10754383,2.061828203,1.979087416,1.851231842,1.695285274,1.534383169,1.389656102,1.265726153,1.171059811,1.100433196,1.035893387,0.976001214,0.936606541,0.920602086,0.922551594,0.931893993,0.943380936,0.959836735,0.979409219,1.000128838,1.022101084,1.04162218,1.0530623,1.053635811,1.044781055,1.034107367,1.020198501,0.994310472,0.954289022,0.904517906,0.849329427],
    [2266,"Asia","Viet Nam","VN","VNM",704,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",45057.98066,47743.81657,51871.76961,56059.23786,61014.30321,66835.36072,73077.7951,79035.15845,83591.10496,87581.39898,93525.82564,99317.78024,105595.4793,112880.5785,121387.7224,130549.1545,139658.8155,149615.797,158086.7012,166620.0593,177322.4626,188694.4673,199081.2403,210137.2175,223632.7479,239258.3408,255264.7459,272980.5986,293358.5764,314947.6584,323972.2062,332270.9199],
    [2267,"Asia","Viet Nam","VN","VNM",704,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",38.73674175,40.48913398,33.93858792,29.86995394,27.42782887,27.18268878,27.75882604,25.77170679,25.78078041,25.43443799,24.534582,23.24104759,23.02944218,22.54243671,21.80769935,19.29997888,18.72678545,18.6550997,20.41314392,19.16845987,15.37507806,16.25916238,16.19949815,15.21560889,14.88035727,14.47472745,13.81825836,12.92987422,12.30667472,11.78452616,12.65539719,12.56036351],
    [2268,"Asia","Viet Nam","VN","VNM",704,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E",2.991656324,3.251172141,4.293692824,4.725398546,4.600912314,4.449536231,4.660326773,5.328209726,5.353054955,5.907017212,6.53849266,6.890842358,6.896062318,7.109972911,7.242354403,6.435952112,6.401335136,6.377070118,6.166012911,6.36238364,8.955661936,8.713225482,8.135851415,7.851643563,7.94159973,7.45738974,7.27966339,7.287428128,7.385081347,7.32000865,7.188733443,7.20477974],
    [2269,"Asia","Viet Nam","VN","VNM",704,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",2.991656324,3.251172141,4.293692824,4.725398546,4.600912314,4.449536231,4.660326773,5.328209726,5.353054955,5.907017212,6.53849266,6.890842358,6.896062318,7.109972911,7.242354403,6.435952112,6.401335136,6.377070118,6.166012911,6.36238364,8.955661936,8.713225482,8.135851415,7.851643563,7.94159973,7.45738974,7.27966339,7.287428128,7.385081347,7.32000865,7.188733443,7.20477974],
    [2270,"Asia","Viet Nam","VN","VNM",704,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",13.69932491,14.04092216,14.3825194,14.72411664,15.06571389,15.40731113,15.74890837,16.09050562,16.43210286,16.7737001,17.11529735,17.45689459,17.79849183,18.14008908,18.48168632,18.82328356,19.38072563,19.3804145,18.57965765,18.30103546,17.13057172,18.69414706,20.27409382,20.68745183,20.3712279,20.96009053,21.48825327,22.62712243,23.36716829,23.78671736,23.94724221,24.61742908],
    [2271,"Asia","Viet Nam","VN","VNM",704,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",38.58896437,35.71642744,38.79781421,41.22973378,43.7037203,44.0613914,42.51128527,42.15315841,41.72795187,40.07081027,38.73464268,38.62953075,38.48387904,37.98755549,37.98355112,42.56888122,42.68848351,42.83327545,42.5091597,43.44335375,40.62736441,38.90701411,39.11885378,40.54200859,40.92361565,42.1930128,42.8544982,42.58071897,42.17091294,42.46873054,41.83116027,41.20786819],
    [2272,"Asia","Viet Nam","VN","VNM",704,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E",2.991656324,3.251172141,4.293692824,4.725398546,4.600912314,4.449536231,4.660326773,5.328209726,5.353054955,5.907017212,6.53849266,6.890842358,6.896062318,7.109972911,7.242354403,6.435952112,6.401335136,6.377070118,6.166012911,6.36238364,8.955661936,8.713225482,8.135851415,7.851643563,7.94159973,7.45738974,7.27966339,7.287428128,7.385081347,7.32000865,7.188733443,7.20477974],
    [2273,"Asia","Viet Nam","VN","VNM",704,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",5.100918139,5.960843933,8.64604746,8.072730657,8.838980952,9.540480175,9.340017496,8.152084143,5.764455464,4.773586881,6.787316408,6.192893312,6.320820988,6.899063492,7.536410612,7.547247727,6.977954812,7.129504484,5.661771208,5.397897543,6.423238217,6.413177689,5.50454562,5.553500245,6.422246656,6.987166724,6.690009213,6.940187782,7.464991257,7.359281,2.865411946,2.561551142],
    [2274,"Asia","Viet Nam","VN","VNM",704,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",11433,12221,13285,14255,15309,16526,18683,19771,20916,22053,22376,23395,25598,30459,34266,38602,43569,49372,54221,61509,69197,78013,84982,90320,96885,105382,114199,125390,130775,145613,null,null],
    [2275,"Asia","Viet Nam","VN","VNM",704,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,117301.8783,null,null,null],
    [2276,"Asia","Viet Nam","VN","VNM",704,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,105382.2,114008.1,123493.8,130774.7,144061.2,116932.6,null],
    [2277,"Asia","Viet Nam","VN","VNM",704,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","GSO Statistics (2020). Available at: https://www.gso.gov.vn/en/homepage/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,112741,null],
    [2278,"Asia","Viet Nam","VN","VNM",704,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",1913,1767,1752,1921,1796,2133.3,2260.7,2476.4,2542.3,2722,3199.9,3426.1,3697.2,4069,4376.3,4562.7,4333.7,4659.5,4560.4,4138.1,4377.9,4571,4600.6,4416.6,4481.9,4149.6,3421.6,3625.1,3542.1,3170.5,null,null],
    [2279,"Asia","Viet Nam","VN","VNM",704,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,193301.3502,null,null,null],
    [2280,"Asia","Viet Nam","VN","VNM",704,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","The World Bank (2023). Railways, passengers carried (million passenger-km). Available at: https://data.worldbank.org/indicator/IS.RRS.PASG.KM","A",null,null,null,null,null,2133,2476,2437,2542,2721,3200,3697,3426,4041,4376,4558,4334.9,4659,4492,4138,4378,4571,4558,4548,4252.58,4233.88,3416,3657,3542,3185,1516,null],
    [2281,"Asia","Viet Nam","VN","VNM",704,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,4149.6,3391.2,3657.7,3542.1,3154.7,1509.2,null],
    [2282,"Asia","Viet Nam","VN","VNM",704,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UIC (2023). International Railway Statistics, Traffic on the national Territory - PKm, VAR 5113, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,3200,3697,3426,4041,4376,4558,4334.9,4659,4492,4138,4378,4571,4558,4548,4252.58,4233.88,3416,3657,3542,3185,1516,null],
    [2283,"Asia","Viet Nam","VN","VNM",704,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","GSO Statistics (2020). Available at: https://www.gso.gov.vn/en/homepage/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1509,null],
    [2284,"Asia","Viet Nam","VN","VNM",704,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,56278.07725,63591.67194,null,null,null],
    [2285,"Asia","Viet Nam","VN","VNM",704,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","GSO Statistics (2020). Available at: https://www.gso.gov.vn/en/homepage/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,34125,null],
    [2286,"Asia","Viet Nam","VN","VNM",704,"Passenger activity","Inland waterways","All","All","All","IWW_PA_NAT","million passenger-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",1167.1,1248.3,1357.5,1457.4,1566.1,1699.4,1906.4,1990,2057.3,2109.7,2509.5,2692.5,2957.4,2739.4,3158.1,3407.1,3189.4,3151.4,3246.2,3048.2,3194.5,2855.7,2835.1,2914.1,2985.7,3064.5,3219.9,3504.6,4499.9,4812.9,null,null],
    [2287,"Asia","Viet Nam","VN","VNM",704,"Passenger activity","All","All","All","All","TRAN_PA_NAT","million passenger-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",13345.8,13988.4,15036.7,16175.6,17105.4,18659.6,20943.3,22246.9,23458,24775.3,25575.7,26821,29294.7,34527.5,38641.9,43164.4,47902.8,54031.6,58781.5,65646.9,73575.3,82584.3,89582.6,94736.4,101367.2,109531.8,117620.4,129015.4,134316.8,148783.1,null,null],
    [2288,"Asia","Viet Nam","VN","VNM",704,"Passenger activity","All","All","All","All","TRAN_PA_NAT","million passenger-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,109531.8,117399.3,127151.5,134316.8,147215.9,118441.8,null],
    [2289,"Asia","Viet Nam","VN","VNM",704,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",2446.1,2852.3,3134.8,3631.5,4066,5137.6,5793.6,6292.9,6748.3,7159.8,7969.9,9184.9,10667.6,12338,14938.8,17668.3,20537.1,24646.9,27968,31587.2,36179,40130.1,43468.5,45668.4,48189.8,51514.9,57377.3,63459.3,71010.9,78964.1,null,null],
    [2290,"Asia","Viet Nam","VN","VNM",704,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,126929.4,null,null,null],
    [2291,"Asia","Viet Nam","VN","VNM",704,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,51514.9,56563.3,63803.5,71010.9,76529.1,75162.9,null],
    [2292,"Asia","Viet Nam","VN","VNM",704,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","GSO Statistics (2020). Available at: https://www.gso.gov.vn/en/homepage/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,73503,null],
    [2293,"Asia","Viet Nam","VN","VNM",704,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",847,1103.3,1076.8,978,1370.1,1750.6,1683.6,1533.3,1369,1445.5,1955,2054.4,2391.5,2725.4,2745.3,2949.3,3446.6,3882.5,4170.9,3864.5,3960.9,4162,4023.4,3804.1,4311.5,4035.5,3198.2,3616.7,4039.3,3763.2,null,null],
    [2294,"Asia","Viet Nam","VN","VNM",704,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,4198.558,null,null,null],
    [2295,"Asia","Viet Nam","VN","VNM",704,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","The World Bank (2023). Railways, goods transported (million ton-km). Available at: https://data.worldbank.org/indicator/IS.RRS.GOOD.MT.K6","A",null,null,null,null,null,1751,1533,1521,1324,1398,1921,2338,2000,2674,2682,2928,3447,3910,4106,4139,3901,4101,3959,3733,4251.9,4125.4,3190,3574,3989,3742,3759,null],
    [2296,"Asia","Viet Nam","VN","VNM",704,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,4035.5,3208.7,3559.6,4039.3,3739.5,3819,null],
    [2297,"Asia","Viet Nam","VN","VNM",704,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UIC (2023). International Railway Statistics, Global Traffic -Domestic traffic in millions of tonne kilometres, VAR 6757, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2859.5,3332.6,3910,4025,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [2298,"Asia","Viet Nam","VN","VNM",704,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","GSO Statistics (2020). Available at: https://www.gso.gov.vn/en/homepage/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3819,null],
    [2299,"Asia","Viet Nam","VN","VNM",704,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,453.34954,481.369979,null,null,null],
    [2300,"Asia","Viet Nam","VN","VNM",704,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",null,null,null,null,null,null,82.90000153,103.5999985,95.59999847,98.5,117.332,135.363,151.91,164.459,216.527,230.186,216.012,258.488,295.759,311.502,426.91573,475.3856596,503.5503227,497.1798203,450.2200379,384.47024,451.25618,453.34954,762.66195,1022.84225,572.07627,676.506604],
    [2301,"Asia","Viet Nam","VN","VNM",704,"Freight activity","Aviation","All","All","Domestic","AVIA_GONC_DOM","milion ton-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",4.1,7.7,17.6,19,35.7,89.2,107.1,120.2,116.6,105.5,114.1,158.2,171.8,210.6,235.8,239.3,269.4,279.9,295.6,316.6,426.8,426.7,475.1,469.8,534.4,599.5,705,748.8,837.2,1169.1,null,null],
    [2302,"Asia","Viet Nam","VN","VNM",704,"Freight activity","Aviation","All","All","Domestic","AVIA_GONC_DOM","milion ton-km","GSO Statistics (2020). Available at: https://www.gso.gov.vn/en/homepage/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3562,null],
    [2303,"Asia","Viet Nam","VN","VNM",704,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",2502.1,2589.4,2585.1,3162.4,2801.3,3015.5,3272.6,3639.2,3791.6,3967.8,14346.1,16937.1,15936.9,15492.3,16415.1,17999,18843.7,22235.6,24867.8,31249.8,31679,34371.7,36622.5,38454.3,40099.9,42064.8,44925.2,47800.4,52580.4,55945.6,null,null],
    [2304,"Asia","Viet Nam","VN","VNM",704,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,18739.92,null,null,null],
    [2305,"Asia","Viet Nam","VN","VNM",704,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,42064.8,45051.4,48609,52580.4,55998.1,51630.3,null],
    [2306,"Asia","Viet Nam","VN","VNM",704,"Freight activity","All","All","All","All","TRAN_GO_NAT","milion ton-km","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,97615.2,104823.4,115972.1,127630.6,136266.7,130612,null],
    [2307,"Asia","Viet Nam","VN","VNM",704,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,26152000,29259000,32362000,35155500,38379900,40249000,42961500,46137400,49646700,56850000,null,null,null,null],
    [2308,"Asia","Viet Nam","VN","VNM",704,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,46137400,49646700,56850000,null,null,null,null],
    [2309,"Asia","Viet Nam","VN","VNM",704,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,25273000,28195000,31155000,33774000,36894000,38643000,41197000,44128000,47131000,54063000,null,null,null,null],
    [2310,"Asia","Viet Nam","VN","VNM",704,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,44128000,47131000,54063000,null,null,null,null],
    [2311,"Asia","Viet Nam","VN","VNM",704,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","GSO Statistics (2020). Available at: https://www.gso.gov.vn/en/homepage/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,72061323,null],
    [2312,"Asia","Viet Nam","VN","VNM",704,"Vehicle stock","Road","Motorcycle","Electric","All","ROAD_EQS_MOTORCELE","n","GSO Statistics (2020). Available at: https://www.gso.gov.vn/en/homepage/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1449379,null],
    [2313,"Asia","Viet Nam","VN","VNM",704,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1033000,1270000,1495000,null,null,null,null],
    [2314,"Asia","Viet Nam","VN","VNM",704,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","GSO Statistics (2020). Available at: https://www.gso.gov.vn/en/homepage/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,4652946,null],
    [2315,"Asia","Viet Nam","VN","VNM",704,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,97000,104000,98000,102500,106900,111000,112500,118400,136700,154000,null,null,null,null],
    [2316,"Asia","Viet Nam","VN","VNM",704,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,118400,136700,154000,null,null,null,null],
    [2317,"Asia","Viet Nam","VN","VNM",704,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,384000,484000,557000,672000,727000,799000,900000,1033000,1270000,1495000,null,null,null,null],
    [2318,"Asia","Viet Nam","VN","VNM",704,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","ADB (2021). Asian Transport Outlook Database. Available at: https://data.adb.org/dataset/asian-transport-outlook-database","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,398000,476000,552000,607000,652000,696000,752000,858000,1109000,1138000,null,null,null,null],
    [2319,"Asia","Viet Nam","VN","VNM",704,"Vehicle stock","Rail","Passenger","All","All","RAIL_EQS_PAS","n","GSO Statistics (2020). Available at: https://www.gso.gov.vn/en/homepage/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1050,null],
    [2320,"Asia","Viet Nam","VN","VNM",704,"Vehicle stock","Rail","Freight","All","All","RAIL_EQS_FRE","n","GSO Statistics (2020). Available at: https://www.gso.gov.vn/en/homepage/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,5426,null],
    [2321,"Asia","Viet Nam","VN","VNM",704,"Vehicle stock","Inland waterways","Passenger","All","All","IWW_EQS_PAS","n","GSO Statistics (2020). Available at: https://www.gso.gov.vn/en/homepage/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,47373,null],
    [2322,"Asia","Viet Nam","VN","VNM",704,"Vehicle stock","Inland waterways","Freight","All","All","IWW_EQS_FRE","n","GSO Statistics (2020). Available at: https://www.gso.gov.vn/en/homepage/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,171670,null],
    [2323,"Asia","Viet Nam","VN","VNM",704,"Vehicle stock","Aviation","Passenger","All","All","AVIA_EQS_PAS","n","GSO Statistics (2020). Available at: https://www.gso.gov.vn/en/homepage/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,249,null],
    [2324,"Asia","Viet Nam","VN","VNM",704,"Energy intensity","Road","Motorcycle","All","All","NRG_EIP_MOTORC","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.5,null,null,null],
    [2325,"Asia","Viet Nam","VN","VNM",704,"Energy intensity","Road","Car","All","All","NRG_EIP_CAR","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.8,null,null,null],
    [2326,"Asia","Viet Nam","VN","VNM",704,"Energy intensity","Road","Minibus ","All","All","NRG_EIP_MINIBU","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I, W",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.7,null,null,null],
    [2327,"Asia","Viet Nam","VN","VNM",704,"Energy intensity","Road","Bus","All","All","NRG_EIP_BUS","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I, W",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.7,null,null,null],
    [2328,"Asia","Viet Nam","VN","VNM",704,"Energy intensity","Road","Light-duty vehicle","All","All","NRG_EIP_LDV","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.7,null,null,null],
    [2329,"Asia","Viet Nam","VN","VNM",704,"Energy intensity","Rail","All","All","All","NRG_EIP_RAIL","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.2,null,null,null],
    [2330,"Asia","Viet Nam","VN","VNM",704,"Energy intensity","Aviation","All","All","All","NRG_EIP_AVI","MJ/passenger-km","IEA (2022). Energy intensity of passenger transport modes, 2018. Available at: https://www.iea.org/data-and-statistics/charts/energy-intensity-of-passenger-transport-modes-2018","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.8,null,null,null],
    [2331,"Africa","South Africa","ZA","ZAF",710,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",36.800507,37.718952,38.672611,39.633754,40.564061,41.435761,42.241007,42.987456,43.682259,44.338551,44.967713,45.571272,46.150913,46.719203,47.29161,47.880595,48.489464,49.119766,49.779472,50.477013,51.216967,52.003759,52.832659,53.687125,54.544184,55.386369,56.207649,57.009751,57.79252,58.558267,59.30869,60.041996],
    [2332,"Africa","South Africa","ZA","ZAF",710,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",52.037,52.554,53.038,53.521,54.004,54.486,54.967,55.449,55.93,56.411,56.891,57.368,57.898,58.446,58.993,59.536,60.077,60.616,61.154,61.687,62.218,62.746,63.272,63.793,64.312,64.828,65.341,65.85,66.355,66.856,67.354,67.847],
    [2333,"Africa","South Africa","ZA","ZAF",710,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",47.963,47.446,46.962,46.479,45.996,45.514,45.033,44.551,44.07,43.589,43.109,42.632,42.102,41.554,41.007,40.464,39.923,39.384,38.846,38.313,37.782,37.254,36.728,36.207,35.688,35.172,34.659,34.15,33.645,33.144,32.646,32.153],
    [2334,"Africa","South Africa","ZA","ZAF",710,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",2.393746254,2.465105146,2.496894967,2.454950555,2.320134861,2.12618227,1.924717883,1.751687313,1.603369493,1.491247723,1.409021901,1.333277462,1.263922608,1.223853523,1.217762203,1.237740618,1.263622972,1.291498275,1.334117023,1.391535432,1.455281933,1.524514056,1.581353673,1.604367369,1.583787396,1.532242773,1.471933429,1.416947254,1.363703216,1.31629201,1.273356263,1.228841245],
    [2335,"Africa","South Africa","ZA","ZAF",710,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",185160.4229,183275.0362,179358.3885,181570.8781,187381.1462,193189.9618,201497.1301,206736.0555,207769.7358,212756.2094,221691.9702,227677.6534,236102.579,243065.4223,254135.9825,267546.8704,282539.6792,297685.1454,307184.4091,302459.639,311653.6041,321528.524,329233.0946,337416.0778,342186.5556,346709.7905,349013.8584,353055.2537,358307.365,358712.4447,335640.1506,352135.5303],
    [2336,"Africa","South Africa","ZA","ZAF",710,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",3.777056178,3.74350458,3.149209894,3.422574626,3.755448082,3.121585246,3.416588245,3.265895499,3.034180444,2.846399173,2.614747993,2.812451695,2.956971825,2.653977529,2.411716115,2.08511799,2.050976512,2.355914005,2.572488767,2.399496135,2.107787493,2.043893086,1.976709595,1.926849246,2.125748549,2.23397839,2.414186074,2.493798638,2.275252101,1.964302458,2.527584146,2.430720296],
    [2337,"Africa","South Africa","ZA","ZAF",710,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E",6.680117459,6.312297995,5.865529684,5.960251983,5.971497898,5.800080158,5.700380726,5.619430646,5.74523473,5.74033607,5.743668234,5.789146906,5.726352121,5.422323029,5.689655691,5.966509316,6.284688883,6.482549515,6.760559872,6.485537061,6.585792095,6.91737959,7.078729135,7.217544111,7.127252739,7.048500453,7.062922683,6.887690413,7.035718222,7.115235041,7.05174637,7.705177677],
    [2338,"Africa","South Africa","ZA","ZAF",710,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",6.680117459,6.312297995,5.865529684,5.960251983,5.971497898,5.800080158,5.700380726,5.619430646,5.74523473,5.74033607,5.743668234,5.789146906,5.726352121,5.422323029,5.689655691,5.966509316,6.284688883,6.482549515,6.760559872,6.485537061,6.585792095,6.91737959,7.078729135,7.217544111,7.127252739,7.048500453,7.062922683,6.887690413,7.035718222,7.115235041,7.05174637,7.705177677],
    [2339,"Africa","South Africa","ZA","ZAF",710,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",23.74351096,23.1384261,22.30501454,21.38709412,21.01598175,21.24672967,20.26728629,19.91348664,19.32781307,18.52612948,18.96826643,19.03695787,19.0721823,18.50211188,17.98981452,17.37057973,15.59552455,15.44192483,15.60869108,14.50780436,13.85957361,12.86177002,12.48259185,12.36677578,12.48071139,12.51794447,12.48364435,12.5127045,12.42804234,12.32570205,11.74350589,11.70479861],
    [2340,"Africa","South Africa","ZA","ZAF",710,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",52.43908048,54.18117534,56.94918651,57.30957531,57.31407647,58.23144461,59.21498329,59.96232593,60.40230229,61.40646314,61.18598087,60.78314972,60.79178952,62.5769415,62.52950229,62.64477433,63.49943229,62.75451262,61.53714054,63.63608832,64.27526261,64.34219813,64.30451115,64.05374265,64.01178185,64.10257578,63.91340152,64.33042562,64.18955089,64.36429036,64.57367085,62.74894806],
    [2341,"Africa","South Africa","ZA","ZAF",710,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E",6.680117459,6.312297995,5.865529684,5.960251983,5.971497898,5.800080158,5.700380726,5.619430646,5.74523473,5.74033607,5.743668234,5.789146906,5.726352121,5.422323029,5.689655691,5.966509316,6.284688883,6.482549515,6.760559872,6.485537061,6.585792095,6.91737959,7.078729135,7.217544111,7.127252739,7.048500453,7.062922683,6.887690413,7.035718222,7.115235041,7.05174637,7.705177677],
    [2342,"Africa","South Africa","ZA","ZAF",710,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",-0.317760427,-1.018244968,-2.137032845,1.233557939,3.200000003,3.100000001,4.299999997,2.600000001,0.5,2.399999997,4.200000001,2.7,3.700374404,2.949075468,4.554559907,5.277051973,5.603806459,5.360474054,3.191043886,-1.538089135,3.039732881,3.168556279,2.396232385,2.485468008,1.413826452,1.321862237,0.664552308,1.157946952,1.487617373,0.113053697,-6.431974826,4.914602661],
    [2343,"Africa","South Africa","ZA","ZAF",710,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,262342.774,null,null,null],
    [2344,"Africa","South Africa","ZA","ZAF",710,"Passenger activity","Road","Motorcycle","All","All","ROAD_PA_MOTORC","million passenger-km","Merven, B., Stone, A., Hughes, A. and Cohen, B. (2012). Quantifying the energy needs of the transport sector for South Africa: A bottom-up model. University of Cape Town, Cape Town. Available at: https://open.uct.ac.za/handle/11427/16905","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2400,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [2345,"Africa","South Africa","ZA","ZAF",710,"Passenger activity","Road","Car","All","All","ROAD_PA_CAR","million passenger-km","Merven, B., Stone, A., Hughes, A. and Cohen, B. (2012). Quantifying the energy needs of the transport sector for South Africa: A bottom-up model. University of Cape Town, Cape Town. Available at: https://open.uct.ac.za/handle/11427/16905","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,116100,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [2346,"Africa","South Africa","ZA","ZAF",710,"Passenger activity","Road","Minibus","All","All","ROAD_PA_MINIBU","million passenger-km","Merven, B., Stone, A., Hughes, A. and Cohen, B. (2012). Quantifying the energy needs of the transport sector for South Africa: A bottom-up model. University of Cape Town, Cape Town. Available at: https://open.uct.ac.za/handle/11427/16905","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,117400,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [2347,"Africa","South Africa","ZA","ZAF",710,"Passenger activity","Road","Bus","All","All","ROAD_PA_BUS","million passenger-km","Merven, B., Stone, A., Hughes, A. and Cohen, B. (2012). Quantifying the energy needs of the transport sector for South Africa: A bottom-up model. University of Cape Town, Cape Town. Available at: https://open.uct.ac.za/handle/11427/16905","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,15700,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [2348,"Africa","South Africa","ZA","ZAF",710,"Passenger activity","Road","Private","All","All","ROAD_PA_PRIVAT","million passenger-km","Merven, B., Stone, A., Hughes, A. and Cohen, B. (2012). Quantifying the energy needs of the transport sector for South Africa: A bottom-up model. University of Cape Town, Cape Town. Available at: https://open.uct.ac.za/handle/11427/16905","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,118600,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [2349,"Africa","South Africa","ZA","ZAF",710,"Passenger activity","Road","Public","All","All","ROAD_PA_PUBLIC","million passenger-km","Merven, B., Stone, A., Hughes, A. and Cohen, B. (2012). Quantifying the energy needs of the transport sector for South Africa: A bottom-up model. University of Cape Town, Cape Town. Available at: https://open.uct.ac.za/handle/11427/16905","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,158400,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [2350,"Africa","South Africa","ZA","ZAF",710,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","Merven, B., Stone, A., Hughes, A. and Cohen, B. (2012). Quantifying the energy needs of the transport sector for South Africa: A bottom-up model. University of Cape Town, Cape Town. Available at: https://open.uct.ac.za/handle/11427/16905","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,13900,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [2351,"Africa","South Africa","ZA","ZAF",710,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,16430.49669,null,null,null],
    [2352,"Africa","South Africa","ZA","ZAF",710,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UIC (2023). International Railway Statistics, Traffic on the national Territory - PKm, VAR 5113, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,11890,13023,1126,996,1001,991,null,13864.97958,null,null,null,null,null,550.15,14270,13704,11837,9821.328,7113.744,5504.426,3501.96,null],
    [2353,"Africa","South Africa","ZA","ZAF",710,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","The World Bank (2023). Railways, passengers carried (million passenger-km). Available at: https://data.worldbank.org/indicator/IS.RRS.PASG.KM","A",null,null,null,null,null,10243,10978,12551,12728,11564,11890,13023,1126,996,1001,991,null,13865,null,null,null,null,null,550,14270,13704,11837,9821,7114,5504,3502,null],
    [2354,"Africa","South Africa","ZA","ZAF",710,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",10641,9348,8905,8226,8394,9045,9585,10776,10934,11564,11890,11747,null,null,null,null,null,13864.97958,13865,13865,18865,null,null,null,null,null,null,null,null,null,null,null],
    [2355,"Africa","South Africa","ZA","ZAF",710,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","Merven, B., Stone, A., Hughes, A. and Cohen, B. (2012). Quantifying the energy needs of the transport sector for South Africa: A bottom-up model. University of Cape Town, Cape Town. Available at: https://open.uct.ac.za/handle/11427/16905","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,11400,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [2356,"Africa","South Africa","ZA","ZAF",710,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,33181.38042,34652.33215,null,null,null],
    [2357,"Africa","South Africa","ZA","ZAF",710,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","Havenga, J.H., Simpson, Z.P., King, D. de Bod, A. and Braun, M. (2016). Logistics Barometer South Africa 2016. Stellenbosch University. Available at: http://www.sun.ac.za/english/faculty/economy/logistics/Pages/logisticsbarometer.aspx","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,72000,73000,null,null,null,null,null,null,null],
    [2358,"Africa","South Africa","ZA","ZAF",710,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,172133.2927,null,null,null],
    [2359,"Africa","South Africa","ZA","ZAF",710,"Freight activity","Road","All","All","Urban","ROAD_GO_URB","milion ton-km","Havenga, J.H., Simpson, Z.P., King, D. de Bod, A. and Braun, M. (2016). Logistics Barometer South Africa 2016. Stellenbosch University. Available at: http://www.sun.ac.za/english/faculty/economy/logistics/Pages/logisticsbarometer.aspx","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,77022,null,null,null,null,null,null,null],
    [2360,"Africa","South Africa","ZA","ZAF",710,"Freight activity","Road","All","All","Rural","ROAD_GO_RUR","milion ton-km","Havenga, J.H., Simpson, Z.P., King, D. de Bod, A. and Braun, M. (2016). Logistics Barometer South Africa 2016. Stellenbosch University. Available at: http://www.sun.ac.za/english/faculty/economy/logistics/Pages/logisticsbarometer.aspx","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,50560,null,null,null,null,null,null,null],
    [2361,"Africa","South Africa","ZA","ZAF",710,"Freight activity","Road","Light-duty vehicle","All","All","ROAD_GO_LDV","milion ton-km","Merven, B., Stone, A., Hughes, A. and Cohen, B. (2012). Quantifying the energy needs of the transport sector for South Africa: A bottom-up model. University of Cape Town, Cape Town. Available at: https://open.uct.ac.za/handle/11427/16905","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,14400,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [2362,"Africa","South Africa","ZA","ZAF",710,"Freight activity","Road","Medium-duty vehicle","All","All","ROAD_GO_MDV","milion ton-km","Merven, B., Stone, A., Hughes, A. and Cohen, B. (2012). Quantifying the energy needs of the transport sector for South Africa: A bottom-up model. University of Cape Town, Cape Town. Available at: https://open.uct.ac.za/handle/11427/16905","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,9100,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [2363,"Africa","South Africa","ZA","ZAF",710,"Freight activity","Road","Heavy-duty vehicle","All","All","ROAD_GO_HDV","milion ton-km","Merven, B., Stone, A., Hughes, A. and Cohen, B. (2012). Quantifying the energy needs of the transport sector for South Africa: A bottom-up model. University of Cape Town, Cape Town. Available at: https://open.uct.ac.za/handle/11427/16905","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,120100,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [2364,"Africa","South Africa","ZA","ZAF",710,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","Havenga, J.H., Simpson, Z.P., King, D. de Bod, A. and Braun, M. (2016). Logistics Barometer South Africa 2016. Stellenbosch University. Available at: http://www.sun.ac.za/english/faculty/economy/logistics/Pages/logisticsbarometer.aspx","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,130000,139000,null,null,null,null,null,null,null],
    [2365,"Africa","South Africa","ZA","ZAF",710,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,129066.1229,null,null,null],
    [2366,"Africa","South Africa","ZA","ZAF",710,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UIC (2023). International Railway Statistics, Global Traffic -Domestic traffic in millions of tonne kilometres, VAR 6757, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,101607,103131,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [2367,"Africa","South Africa","ZA","ZAF",710,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","The World Bank (2023). Railways, goods transported (million ton-km). Available at: https://data.worldbank.org/indicator/IS.RRS.GOOD.MT.K6","A",null,null,null,null,null,99850,99773,103866,102777,null,100434,106654,105719,105724,106549,108513,null,106014,113342,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [2368,"Africa","South Africa","ZA","ZAF",710,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",101746,85569,89248,91359,93487,96559,99687,104632.08,102286.8,102800,106605,105393,103717,106538,108503,108513,108513,108513,106014,113342,113342,113342,113342,null,null,null,null,null,null,null,null,null],
    [2369,"Africa","South Africa","ZA","ZAF",710,"Freight activity","Rail","All","All","Urban","RAIL_GO_URB","milion ton-km","Havenga, J.H., Simpson, Z.P., King, D. de Bod, A. and Braun, M. (2016). Logistics Barometer South Africa 2016. Stellenbosch University. Available at: http://www.sun.ac.za/english/faculty/economy/logistics/Pages/logisticsbarometer.aspx","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,800,null,null,null,null,null,null,null],
    [2370,"Africa","South Africa","ZA","ZAF",710,"Freight activity","Rail","All","All","Rural","RAIL_GO_RUR","milion ton-km","Havenga, J.H., Simpson, Z.P., King, D. de Bod, A. and Braun, M. (2016). Logistics Barometer South Africa 2016. Stellenbosch University. Available at: http://www.sun.ac.za/english/faculty/economy/logistics/Pages/logisticsbarometer.aspx","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,12640,null,null,null,null,null,null,null],
    [2371,"Africa","South Africa","ZA","ZAF",710,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,833.347948,716.246208,null,null,null],
    [2372,"Africa","South Africa","ZA","ZAF",710,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",179.1999969,191,263.2000122,332.8999939,276.5,263.1000061,328.5,420.3999939,535.5999756,688.4000244,687.569,755.516,783.844,891.465,928.987,923.383,1232.995,939.199,760.889,676.413,1025.562,1072.91478,1174.666806,1122.986468,1042.736264,892.7343241,767.271186,833.3479475,696.730006,565.20947,102.392463,15.131581],
    [2373,"Africa","South Africa","ZA","ZAF",710,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",179.2,191,263.2,332.9,276.5,263.1,328.5,420.4,535.6,688.4,687.569,755.516,783.844,891.465,928.987,923.383,1232.995,939.199,760.889,676.413,1025.562,1072.915,1174.667,1122.986,1062.321,null,null,null,null,null,null,null],
    [2374,"Africa","South Africa","ZA","ZAF",710,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,78.931003,null,null,null],
    [2375,"Africa","South Africa","ZA","ZAF",710,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","Merven, B., Stone, A., Hughes, A. and Cohen, B. (2012). Quantifying the energy needs of the transport sector for South Africa: A bottom-up model. University of Cape Town, Cape Town. Available at: https://open.uct.ac.za/handle/11427/16905","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,5743500,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [2376,"Africa","South Africa","ZA","ZAF",710,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,10293396,null,10777001,11016969,11293130,11238859,null],
    [2377,"Africa","South Africa","ZA","ZAF",710,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","Merven, B., Stone, A., Hughes, A. and Cohen, B. (2012). Quantifying the energy needs of the transport sector for South Africa: A bottom-up model. University of Cape Town, Cape Town. Available at: https://open.uct.ac.za/handle/11427/16905","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,266300,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [2378,"Africa","South Africa","ZA","ZAF",710,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,365582,null,351756,346617,342886,339046,null],
    [2379,"Africa","South Africa","ZA","ZAF",710,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","Merven, B., Stone, A., Hughes, A. and Cohen, B. (2012). Quantifying the energy needs of the transport sector for South Africa: A bottom-up model. University of Cape Town, Cape Town. Available at: https://open.uct.ac.za/handle/11427/16905","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,4986900,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [2380,"Africa","South Africa","ZA","ZAF",710,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,6829497,null,7172283,7340740,7539338,7498948,null],
    [2381,"Africa","South Africa","ZA","ZAF",710,"Vehicle stock","Road","Minibus","All","All","ROAD_EQS_MINIBU","n","Merven, B., Stone, A., Hughes, A. and Cohen, B. (2012). Quantifying the energy needs of the transport sector for South Africa: A bottom-up model. University of Cape Town, Cape Town. Available at: https://open.uct.ac.za/handle/11427/16905","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,269300,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [2382,"Africa","South Africa","ZA","ZAF",710,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","Merven, B., Stone, A., Hughes, A. and Cohen, B. (2012). Quantifying the energy needs of the transport sector for South Africa: A bottom-up model. University of Cape Town, Cape Town. Available at: https://open.uct.ac.za/handle/11427/16905","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,221000,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [2383,"Africa","South Africa","ZA","ZAF",710,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,357501,null,381682,394675,410559,406741,null],
    [2384,"Africa","South Africa","ZA","ZAF",710,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2374062,null,2498602,2557847,2619560,2616337,null],
    [2385,"Africa","South Africa","ZA","ZAF",710,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,366754,null,372678,377090,380787,377787,null],
    [2386,"Africa","South Africa","ZA","ZAF",710,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [2387,"Africa","South Africa","ZA","ZAF",710,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [2388,"Africa","South Africa","ZA","ZAF",710,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [2389,"Africa","South Africa","ZA","ZAF",710,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [2390,"Africa","South Africa","ZA","ZAF",710,"Energy intensity","Road","Motorcycle","All","All","NRG_EIV_MOTORC","MJ/vehicle-km","Venter, C. and Mohammed, S.O. (2013). Estimating car ownership and transport energy consumption: A disaggregate study in Nelson Mandela Bay. Journal of the South African Institution of Civil Engineering. 55. 2-10. Available at: https://www.researchgate.net/publication/282543048_Estimating_car_ownership_and_transport_energy_consumption_A_disaggregate_study_in_Nelson_Mandela_Bay","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,102.8,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [2391,"Africa","South Africa","ZA","ZAF",710,"Energy intensity","Road","Car","All","All","NRG_EIV_CAR","MJ/vehicle-km","Venter, C. and Mohammed, S.O. (2013). Estimating car ownership and transport energy consumption: A disaggregate study in Nelson Mandela Bay. Journal of the South African Institution of Civil Engineering. 55. 2-10. Available at: https://www.researchgate.net/publication/282543048_Estimating_car_ownership_and_transport_energy_consumption_A_disaggregate_study_in_Nelson_Mandela_Bay","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,396.4,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [2392,"Africa","South Africa","ZA","ZAF",710,"Energy intensity","Road","Minibus ","All","All","NRG_EIV_MINIBU","MJ/vehicle-km","Venter, C. and Mohammed, S.O. (2013). Estimating car ownership and transport energy consumption: A disaggregate study in Nelson Mandela Bay. Journal of the South African Institution of Civil Engineering. 55. 2-10. Available at: https://www.researchgate.net/publication/282543048_Estimating_car_ownership_and_transport_energy_consumption_A_disaggregate_study_in_Nelson_Mandela_Bay","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,513.8,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [2393,"Africa","South Africa","ZA","ZAF",710,"Energy intensity","Road","Bus","All","All","NRG_EIV_BUS","MJ/vehicle-km","Venter, C. and Mohammed, S.O. (2013). Estimating car ownership and transport energy consumption: A disaggregate study in Nelson Mandela Bay. Journal of the South African Institution of Civil Engineering. 55. 2-10. Available at: https://www.researchgate.net/publication/282543048_Estimating_car_ownership_and_transport_energy_consumption_A_disaggregate_study_in_Nelson_Mandela_Bay","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,1833.5,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [2394,"Africa","South Africa","ZA","ZAF",710,"Energy intensity","Road","Light-duty vehicle","All","All","NRG_EIV_LDV","MJ/vehicle-km","Venter, C. and Mohammed, S.O. (2013). Estimating car ownership and transport energy consumption: A disaggregate study in Nelson Mandela Bay. Journal of the South African Institution of Civil Engineering. 55. 2-10. Available at: https://www.researchgate.net/publication/282543048_Estimating_car_ownership_and_transport_energy_consumption_A_disaggregate_study_in_Nelson_Mandela_Bay","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,451.4,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [2395,"Africa","South Africa","ZA","ZAF",710,"Energy intensity","Rail","Passenger","All","All","NRG_EIV_RAIL","MJ/vehicle-km","Venter, C. and Mohammed, S.O. (2013). Estimating car ownership and transport energy consumption: A disaggregate study in Nelson Mandela Bay. Journal of the South African Institution of Civil Engineering. 55. 2-10. Available at: https://www.researchgate.net/publication/282543048_Estimating_car_ownership_and_transport_energy_consumption_A_disaggregate_study_in_Nelson_Mandela_Bay","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,10.3,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [2396,"Africa","South Africa","ZA","ZAF",710,"Load factor","Road","Car","All","Urban","NRG_LF_CARURB","passenger/vehicle","Merven, B., Stone, A., Hughes, A. and Cohen, B. (2012). Quantifying the energy needs of the transport sector for South Africa: A bottom-up model. University of Cape Town, Cape Town. Available at: https://open.uct.ac.za/handle/11427/16905","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null,null,null,null],
    [2397,"Africa","South Africa","ZA","ZAF",710,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [2398,"Africa","South Africa","ZA","ZAF",710,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [2399,"Africa","South Africa","ZA","ZAF",710,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [2400,"Africa","South Africa","ZA","ZAF",710,"Load factor","Road","Minibus","All","Urban","NRG_LF_MINIBUURB","passenger/vehicle","Merven, B., Stone, A., Hughes, A. and Cohen, B. (2012). Quantifying the energy needs of the transport sector for South Africa: A bottom-up model. University of Cape Town, Cape Town. Available at: https://open.uct.ac.za/handle/11427/16905","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,8.5,null,null,null,null,null,null,null,null,null,null,null],
    [2401,"Africa","South Africa","ZA","ZAF",710,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [2402,"Africa","South Africa","ZA","ZAF",710,"Load factor","Road","Bus","Diesel","Urban","NRG_LF_BUSDIEURB","passenger/vehicle","Merven, B., Stone, A., Hughes, A. and Cohen, B. (2012). Quantifying the energy needs of the transport sector for South Africa: A bottom-up model. University of Cape Town, Cape Town. Available at: https://open.uct.ac.za/handle/11427/16905","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,37.1,null,null,null,null,null,null,null,null,null,null,null],
    [2403,"Africa","Zambia","ZM","ZMB",894,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",8.036849,8.246662,8.451346,8.656484,8.869745,9.096608,9.33974,9.59761,9.866474,10.140564,10.415942,10.692197,10.971704,11.25674,11.550641,11.856244,12.173518,12.502958,12.848531,13.215142,13.605986,14.023199,14.465148,14.926551,15.399793,15.87937,16.363449,16.853608,17.351714,17.861034,18.383956,18.920657],
    [2404,"Africa","Zambia","ZM","ZMB",894,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",39.407,38.989,38.514,38.042,37.572,37.104,36.638,36.176,35.716,35.258,34.802,35.002,35.475,35.951,36.43,36.911,37.395,37.881,38.371,38.861,39.355,39.851,40.354,40.865,41.382,41.907,42.438,42.976,43.521,44.072,44.629,45.192],
    [2405,"Africa","Zambia","ZM","ZMB",894,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",60.593,61.011,61.486,61.958,62.428,62.896,63.362,63.824,64.284,64.742,65.198,64.998,64.525,64.049,63.57,63.089,62.605,62.119,61.629,61.139,60.645,60.149,59.646,59.135,58.618,58.093,57.562,57.024,56.479,55.928,55.371,54.808],
    [2406,"Africa","Zambia","ZM","ZMB",894,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",2.732708915,2.577142146,2.451720621,2.398291689,2.43374118,2.525554947,2.637681781,2.723569455,2.76284363,2.740107247,2.679389918,2.6176706,2.580537185,2.564746542,2.57738729,2.611371538,2.640828807,2.67023196,2.726422943,2.813380762,2.91465496,3.020318665,3.102914035,3.139940351,3.121249429,3.066671472,3.002934554,2.951463048,2.912653263,2.893017737,2.885685921,2.877596046],
    [2407,"Africa","Zambia","ZM","ZMB",894,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",6840.844039,6838.372211,6720.00531,7176.782487,6557.75328,6747.775257,7167.388798,7440.753544,7412.051124,7756.725565,8059.03021,8487.518231,8869.967014,9485.983916,10153.07579,10887.71164,11748.2431,12729.50761,13719.08627,14984.03382,16527.12309,17446.79177,18772.32803,19721.68816,20648.21157,21251.2168,22053.80707,22826.64659,23747.58626,24089.86165,23418.94574,24255.66141],
    [2408,"Africa","Zambia","ZM","ZMB",894,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",18.20257632,15.81402977,21.26754851,30.47873046,11.8265026,14.0893721,13.29824478,13.98254848,15.86841123,18.18997166,16.14977346,15.52748224,15.36142994,15.61709962,15.58094288,14.58855137,13.20627106,12.10559624,11.45399975,11.55278363,9.42094611,9.648057822,9.321639536,8.226523184,6.779597852,4.980836564,6.22847199,4.024271194,3.341123992,2.860774937,2.977086346,2.964328208],
    [2409,"Africa","Zambia","ZM","ZMB",894,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E",8.365243221,7.398987886,7.076588408,7.696786025,13.6789609,12.36017501,11.41420568,11.2502196,9.504019793,8.032034454,8.479132158,8.763766274,8.442782633,8.171392132,8.514629863,8.871124342,9.956778072,10.58663975,10.35406579,9.402561716,10.06477142,10.81672172,10.13630498,10.87069981,10.96266702,10.4254793,10.63429879,11.91820187,11.85552222,11.91551195,11.89705563,13.37180426],
    [2410,"Africa","Zambia","ZM","ZMB",894,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",8.365243221,7.398987886,7.076588408,7.696786025,13.6789609,12.36017501,11.41420568,11.2502196,9.504019793,8.032034454,8.479132158,8.763766274,8.442782633,8.171392132,8.514629863,8.871124342,9.956778072,10.58663975,10.35406579,9.402561716,10.06477142,10.81672172,10.13630498,10.87069981,10.96266702,10.4254793,10.63429879,11.91820187,11.85552222,11.91551195,11.89705563,13.37180426],
    [2411,"Africa","Zambia","ZM","ZMB",894,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",31.85689077,33.34588626,33.1916343,24.97607991,9.088726019,9.177594328,10.91561377,10.79494361,10.77369849,10.21141037,9.453296547,9.081867226,9.585879251,10.14813672,10.06523898,9.840460977,9.407918982,8.679804366,8.453968149,8.684927817,7.578283936,7.51615953,7.075813251,6.023734529,6.819983359,7.522311308,7.68612523,8.127238236,6.84776648,6.788930097,7.715369781,8.849934933],
    [2412,"Africa","Zambia","ZM","ZMB",894,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A",24.84480325,28.64312031,24.31105196,21.45483156,38.04788868,39.65250855,41.54352441,41.47184911,44.8458309,47.50251461,48.95953352,49.09935171,49.72434291,49.72058727,48.80992854,48.95761463,47.51547574,47.45468016,49.02983473,51.5546034,52.8064557,50.3856175,53.19363227,53.13764285,53.51241774,56.22041422,54.18250641,52.09388496,54.24454286,54.6037591,53.61637699,48.07032408],
    [2413,"Africa","Zambia","ZM","ZMB",894,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E",8.365243221,7.398987886,7.076588408,7.696786025,13.6789609,12.36017501,11.41420568,11.2502196,9.504019793,8.032034454,8.479132158,8.763766274,8.442782633,8.171392132,8.514629863,8.871124342,9.956778072,10.58663975,10.35406579,9.402561716,10.06477142,10.81672172,10.13630498,10.87069981,10.96266702,10.4254793,10.63429879,11.91820187,11.85552222,11.91551195,11.89705563,13.37180426],
    [2414,"Africa","Zambia","ZM","ZMB",894,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",-0.481072028,-0.036133384,-1.730922174,6.797274049,-8.625441952,2.897668893,6.218546489,3.814007497,-0.385746146,4.650189746,3.897322943,5.316868274,4.50601428,6.944973982,7.032395115,7.235599007,7.903694445,8.352436244,7.773895815,9.220348406,10.29822332,5.564602337,7.597593211,5.05723174,4.697992363,2.920375112,3.776679146,3.504336096,4.034493897,1.441306026,-2.785055065,3.572815303],
    [2415,"Africa","Zambia","ZM","ZMB",894,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,17857.35856,null,null,null],
    [2416,"Africa","Zambia","ZM","ZMB",894,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","The World Bank (2023). Railways, passengers carried (million passenger-km). Available at: https://data.worldbank.org/indicator/IS.RRS.PASG.KM","A",338,176,202,159,336,null,280,236,183,186,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,4.268,4.185,null,null,null],
    [2417,"Africa","Zambia","ZM","ZMB",894,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.005819,null,null,null],
    [2418,"Africa","Zambia","ZM","ZMB",894,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",338,176,202,159,336,267,280,236,220,186,183,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [2419,"Africa","Zambia","ZM","ZMB",894,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,67.974233,2.409456,null,null,null],
    [2420,"Africa","Zambia","ZM","ZMB",894,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,5234.542507,null,null,null],
    [2421,"Africa","Zambia","ZM","ZMB",894,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","The World Bank (2023). Railways, goods transported (million ton-km). Available at: https://data.worldbank.org/indicator/IS.RRS.GOOD.MT.K6","A",null,null,null,null,null,462,536,473,555,554,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,297,null,null,null,null],
    [2422,"Africa","Zambia","ZM","ZMB",894,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1053.15881,null,null,null],
    [2423,"Africa","Zambia","ZM","ZMB",894,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",1197,1082.6,1017.5,1072,651,442,536,473,472,554,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [2424,"Africa","Zambia","ZM","ZMB",894,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",29.60000038,21.70000076,16.5,13.60000038,15.69999981,null,null,0.5,0.5,0.400000006,0.457,0.028,0.028,0.031,0,0,0,null,null,null,0,0,0,93.43254454,83.4312518,79.38209583,80.352947,81.55760965,75.07739773,79.335,69.97121783,75.18520667],
    [2425,"Africa","Zambia","ZM","ZMB",894,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,81.55761,75.077398,null,null,null],
    [2426,"Africa","Zambia","ZM","ZMB",894,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",29.6,21.7,16.5,13.6,15.7,null,null,0.5,0.5,0.4,0.46,0.03,0.03,0.03,0,0,0,null,null,null,0,0,0,0,0,null,null,null,null,null,null,null],
    [2427,"Africa","Zambia","ZM","ZMB",894,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,13.315112,null,null,null],
    [2428,"Africa","Zambia","ZM","ZMB",894,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","Zambia Ministry of Transport and Communication (2017). MTC Sector Performance. Available at: https://zambiamtc.opendataforafrica.org/kenvome/mtc-sector-performance; Ministry of Transport and Communications (2019). 2019 Annual Report. Available at: https://www.motl.gov.zm/?page_id=1260#1635868305817-8b615f21-d43c","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,307241,644754,1026702,1479276,2013799,2619434,3282963,3979437,4717108,5499244,6322126,null,null],
    [2429,"Africa","Zambia","ZM","ZMB",894,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,663542,696474,737671,782136,822882,853909,null],
    [2430,"Africa","Zambia","ZM","ZMB",894,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","Zambia Ministry of Transport and Communication (2017). MTC Sector Performance. Available at: https://zambiamtc.opendataforafrica.org/kenvome/mtc-sector-performance; Ministry of Transport and Communications (2019). 2019 Annual Report. Available at: https://www.motl.gov.zm/?page_id=1260#1635868305817-8b615f21-d43c","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,6924,9596,12633,15311,17908,19852,22093,24742,null,null],
    [2431,"Africa","Zambia","ZM","ZMB",894,"Vehicle stock","Road","Light-duty vehicle","All","All","ROAD_EQS_LDV","n","Zambia Ministry of Transport and Communication (2017). MTC Sector Performance. Available at: https://zambiamtc.opendataforafrica.org/kenvome/mtc-sector-performance; Ministry of Transport and Communications (2019). 2019 Annual Report. Available at: https://www.motl.gov.zm/?page_id=1260#1635868305817-8b615f21-d43c","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,77781,151483,209807,254582,278827,310479,341759,369561,null,null],
    [2432,"Africa","Zambia","ZM","ZMB",894,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","Zambia Ministry of Transport and Communication (2017). MTC Sector Performance. Available at: https://zambiamtc.opendataforafrica.org/kenvome/mtc-sector-performance; Ministry of Transport and Communications (2019). 2019 Annual Report. Available at: https://www.motl.gov.zm/?page_id=1260#1635868305817-8b615f21-d43c","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,28006,32031,40066,48087,53138,59729,68429,76244,null,null],
    [2433,"Africa","Zambia","ZM","ZMB",894,"Vehicle stock","Road","Trailer","All","All","ROAD_EQS_TRAILE","n","Zambia Ministry of Transport and Communication (2017). MTC Sector Performance. Available at: https://zambiamtc.opendataforafrica.org/kenvome/mtc-sector-performance; Ministry of Transport and Communications (2019). 2019 Annual Report. Available at: https://www.motl.gov.zm/?page_id=1260#1635868305817-8b615f21-d43c","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2886,3403,4140,4904,5677,6488,8563,10821,null,null],
    [2434,"Africa","Zambia","ZM","ZMB",894,"Vehicle stock","Road","Agricultural and forestry tractors","All","All","ROAD_EQS_TRACTO","n","Zambia Ministry of Transport and Communication (2017). MTC Sector Performance. Available at: https://zambiamtc.opendataforafrica.org/kenvome/mtc-sector-performance; Ministry of Transport and Communications (2019). 2019 Annual Report. Available at: https://www.motl.gov.zm/?page_id=1260#1635868305817-8b615f21-d43c","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1129,2152,2539,2875,3153,3352,3521,3743,null,null],
    [2435,"Africa","Zambia","ZM","ZMB",894,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [2436,"Africa","Zambia","ZM","ZMB",894,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [2437,"Africa","Zambia","ZM","ZMB",894,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [2438,"Africa","Zambia","ZM","ZMB",894,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [2439,"Africa","Zambia","ZM","ZMB",894,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [2440,"Africa","Zambia","ZM","ZMB",894,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [2441,"Africa","Zambia","ZM","ZMB",894,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [2442,"Africa","Zambia","ZM","ZMB",894,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null],
    [2443,"Africa","Zimbabwe","ZW","ZWE",716,"Population","All","..","..","..","POP_TOT","million people","The World Bank (2022). World Development Indicators. Population, total. Available at: https://databank.worldbank.org/source/world-development-indicators","A",10.432409,10.681008,10.900511,11.092775,11.261752,11.410721,11.541215,11.653254,11.747079,11.822722,11.881482,11.923906,11.954293,11.982219,12.019911,12.076697,12.155496,12.25592,12.379553,12.526964,12.697728,12.894323,13.115149,13.350378,13.58671,13.814642,14.030338,14.236599,14.438812,14.645473,14.862927,15.092171],
    [2444,"Africa","Zimbabwe","ZW","ZWE",716,"Population","Urban","..","..","..","POP_URB","%","The World Bank (2022). World Development Indicators. Urban population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",28.988,29.738,30.499,30.94,31.335,31.732,32.132,32.534,32.939,33.347,33.758,34.17,34.585,34.479,34.294,34.11,33.926,33.743,33.56,33.378,33.196,33.015,32.834,32.654,32.504,32.385,32.296,32.237,32.209,32.21,32.242,32.303],
    [2445,"Africa","Zimbabwe","ZW","ZWE",716,"Population","Rural","..","..","..","POP_RUR","%","The World Bank (2022). World Development Indicators. Rural population (% of total population). Available at: https://databank.worldbank.org/source/world-development-indicators","A",71.012,70.262,69.501,69.06,68.665,68.268,67.868,67.466,67.061,66.653,66.242,65.83,65.415,65.521,65.706,65.89,66.074,66.257,66.44,66.622,66.804,66.985,67.166,67.346,67.496,67.615,67.704,67.763,67.791,67.79,67.758,67.697],
    [2446,"Africa","Zimbabwe","ZW","ZWE",716,"Population growth","All","..","..","..","POP_GRO","%","The World Bank (2022). World Development Indicators. Population growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",2.706406982,2.35500004,2.034245777,1.748432662,1.511821015,1.314114643,1.137118944,0.966091282,0.801915962,0.641865917,0.495778052,0.35642389,0.25451682,0.233334019,0.314072384,0.471320321,0.650368522,0.822767237,1.003707442,1.183728108,1.353963876,1.536405716,1.698083731,1.777672476,1.754741003,1.66369351,1.549294088,1.459405813,1.410381542,1.421141886,1.473871416,1.530614091],
    [2447,"Africa","Zimbabwe","ZW","ZWE",716,"GDP","All","..","..","..","GDP_TOT","million USD (2015)","The World Bank (2022). World Development Indicators. GDP (constant 2015 US$). Available at: https://databank.worldbank.org/source/world-development-indicators","A",16941.50378,17878.6709,16266.8068,16437.84554,17955.91327,17984.28821,19847.58578,20379.61901,20967.61418,20796.13663,20159.94335,20450.16899,18631.32613,15464.91834,14566.78732,13734.86591,13259.43418,12775.02371,10517.81164,11782.00631,14100.15412,16101.51772,18784.90469,19158.62901,19614.01608,19963.1206,20114.01569,21061.28369,22077.32435,20720.84137,19426.04817,20562.35927],
    [2448,"Africa","Zimbabwe","ZW","ZWE",716,"GDP","Agriculture","..","..","..","GDP_AGR","%","The World Bank (2022). World Development Indicators. Agriculture, forestry, and fishing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",14.83204676,13.54690597,6.75157042,13.73790751,17.08007706,13.46596889,19.34262298,16.69573065,18.89032032,15.48126672,15.66706342,15.10758671,12.38748835,14.60080334,18.06379683,17.14823974,19.23011578,21.19768854,19.02107406,10.74255023,9.609863269,8.665865173,8.044517527,7.144479446,8.745304229,8.284246903,7.873985821,8.340968872,10.52095504,10.14365709,7.607100619,6.971024678],
    [2449,"Africa","Zimbabwe","ZW","ZWE",716,"GDP","Construction","..","..","..","GDP_CON","%","n/a","E",6.432803104,6.790892508,6.415249699,6.030932253,6.692308083,6.016251076,5.823748732,6.158929092,6.563866822,8.395133667,0.273204522,0,0,0,6.051185582,6.349177583,6.607679506,6.07256041,5.36534675,7.769986143,7.783293778,8.088642131,7.60894744,7.20346285,7.024292221,7.05869786,6.706697595,6.683459143,7.236518138,8.3848089,8.021919076,8.133435175],
    [2450,"Africa","Zimbabwe","ZW","ZWE",716,"GDP","Mining","..","..","..","GDP_MIN","%","n/a","E",6.432803104,6.790892508,6.415249699,6.030932253,6.692308083,6.016251076,5.823748732,6.158929092,6.563866822,8.395133667,0.273204522,0,0,0,6.051185582,6.349177583,6.607679506,6.07256041,5.36534675,7.769986143,7.783293778,8.088642131,7.60894744,7.20346285,7.024292221,7.05869786,6.706697595,6.683459143,7.236518138,8.3848089,8.021919076,8.133435175],
    [2451,"Africa","Zimbabwe","ZW","ZWE",716,"GDP","Manufacturing","..","..","..","GDP_MAN","%","The World Bank (2022). World Development Indicators. Manufacturing, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",20.48478539,24.09614198,26.89869922,21.02116159,19.05482699,19.26422236,16.68575983,15.87867672,14.41609473,13.20135565,13.38798171,12.70838559,11.70088687,12.00837638,13.94948538,15.12284892,16.01318835,16.09742314,16.33451644,11.03051314,9.208112851,9.172401152,14.04340216,12.91905671,12.5907647,11.88859922,11.59601989,11.01700859,7.721094294,15.73823433,18.43000193,18.65047879],
    [2452,"Africa","Zimbabwe","ZW","ZWE",716,"GDP","Service","..","..","..","GDP_SER","%","The World Bank (2022). World Development Indicators. Services, value added (% of GDP). Available at: https://databank.worldbank.org/source/world-development-indicators","A, E",45.38475854,41.98427453,47.10398126,47.14813415,43.7881717,49.22105553,46.50037099,48.94880535,47.00198448,46.13197662,70.1253413,72.1840277,75.91162478,73.39082028,49.83316104,48.68137859,44.93365735,44.48720709,48.54836924,54.91697821,57.83214254,57.89580728,55.085238,58.3260753,57.59105441,58.6510603,60.4099015,60.59164511,60.04839625,48.96368187,49.89714023,49.978191],
    [2453,"Africa","Zimbabwe","ZW","ZWE",716,"GDP","Energy","..","..","..","GDP_ENE","%","n/a","E",6.432803104,6.790892508,6.415249699,6.030932253,6.692308083,6.016251076,5.823748732,6.158929092,6.563866822,8.395133667,0.273204522,0,0,0,6.051185582,6.349177583,6.607679506,6.07256041,5.36534675,7.769986143,7.783293778,8.088642131,7.60894744,7.20346285,7.024292221,7.05869786,6.706697595,6.683459143,7.236518138,8.3848089,8.021919076,8.133435175],
    [2454,"Africa","Zimbabwe","ZW","ZWE",716,"GDP growth","All","..","..","..","GDP_GRO","%","The World Bank (2022). World Development Indicators. GDP growth (annual %). Available at: https://databank.worldbank.org/source/world-development-indicators","A",6.988552933,5.531782398,-9.015570086,1.051458626,9.235198861,0.158025651,10.36069677,2.680594174,2.885211806,-0.817821016,-3.059189762,1.439615384,-8.894023633,-16.99507469,-5.807538055,-5.71108368,-3.461495192,-3.653326859,-17.66894629,12.01955993,19.67532314,14.19391296,16.66542877,1.989492762,2.376929327,1.779872703,0.755869251,4.709492179,4.82421054,-6.144236314,-6.248748224,5.849419762],
    [2455,"Africa","Zimbabwe","ZW","ZWE",716,"Passenger activity","Road","All","All","All","ROAD_PA_MOV","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,8352.566324,null,null,null],
    [2456,"Africa","Zimbabwe","ZW","ZWE",716,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","The World Bank (2023). Railways, passengers carried (million passenger-km). Available at: https://data.worldbank.org/indicator/IS.RRS.PASG.KM","A",781.459,571.41,659.826,588.149,651.421,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,98,206,17,null],
    [2457,"Africa","Zimbabwe","ZW","ZWE",716,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UIC (2023). International Railway Statistics, Traffic on the national Territory - PKm, VAR 5113, ISBN 978-2-7461-3144-6. Available at: https://uic-stats.uic.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,98,206,17,null],
    [2458,"Africa","Zimbabwe","ZW","ZWE",716,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.00156,null,null,null],
    [2459,"Africa","Zimbabwe","ZW","ZWE",716,"Passenger activity","Rail","All","All","All","RAIL_PA_TOTAL","million passenger-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",781.459,571.41,659.826,588.149,651.421,545.977,511,583,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [2460,"Africa","Zimbabwe","ZW","ZWE",716,"Passenger activity","Aviation","All","All","All","AVIA_PAOC","million passenger-km","UN DESA (2020). Indicator 9.1.2: Passenger volume (passenger kilometres) by mode of transport. Available at: https://hub.arcgis.com/datasets/undesa::indicator-9-1-2-passenger-volume-passenger-kilometres-by-mode-of-transport-5/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,171.543067,171.543067,null,null,null],
    [2461,"Africa","Zimbabwe","ZW","ZWE",716,"Freight activity","Road","All","All","All","ROAD_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3368.828236,null,null,null],
    [2462,"Africa","Zimbabwe","ZW","ZWE",716,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","The World Bank (2023). Railways, goods transported (million ton-km). Available at: https://data.worldbank.org/indicator/IS.RRS.GOOD.MT.K6","A",5590,5394,5644,5466,4327,null,null,null,null,null,null,null,null,null,null,null,null,1580,null,null,null,null,null,null,null,null,null,null,1078,897,703,null],
    [2463,"Africa","Zimbabwe","ZW","ZWE",716,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,5275.365427,null,null,null],
    [2464,"Africa","Zimbabwe","ZW","ZWE",716,"Freight activity","Rail","All","All","All","RAIL_GO_TOTAL","milion ton-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",5590,5394,5644,5466,4327,4754,5011,4871,null,null,null,null,null,null,null,null,null,null,1580,null,null,null,null,null,null,null,null,null,null,null,null,null],
    [2465,"Africa","Zimbabwe","ZW","ZWE",716,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","The World Bank (2023). Air transport, freight (million ton-km). Available at: https://data.worldbank.org/indicator/IS.AIR.GOOD.MT.K1","A",64.90000153,87,93.5,113.6999969,130.8000031,144.3999939,152.8999939,153.1000061,156.8999939,158.1999969,162.987,158.174,25.813,18.494,20.823,22.252,8.547,7.692,7.464,6.775,25.13892409,44.68492131,47.28822604,32.681952,0.710490456,0.796107136,0.804947441,0.665035317,0.665035317,0,9.9972456,2.974346814],
    [2466,"Africa","Zimbabwe","ZW","ZWE",716,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.665035,0.665035,null,null,null],
    [2467,"Africa","Zimbabwe","ZW","ZWE",716,"Freight activity","Aviation","All","All","All","AVIA_GONC","milion ton-km","Sudan Data Portal (2016). AFDB Socio Economic Database, 1960-2016. Available at: https://sudan.opendataforafrica.org/coqienb/afdb-socio-economic-database-1960-2016","A",64.9,87,93.5,113.7,130.8,144.4,152.9,153.1,156.9,158.2,162.99,158.17,25.81,18.49,20.82,22.25,8.55,7.69,7.46,6.78,25.14,44.68,47.29,32.68,32.7,null,null,null,null,null,null,null],
    [2468,"Africa","Zimbabwe","ZW","ZWE",716,"Freight activity","Inland waterways","All","All","All","IWW_GO_NAT","milion ton-km","UN DESA (2020). Indicator 9.1.2: Freight volume by mode of transport (tonne kilometres). Available at: https://unstats-undesa.opendata.arcgis.com/datasets/4a5d7189e27148c48f045729ef9e40c8_0/about","I",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,523.466704,null,null,null],
    [2469,"Africa","Zimbabwe","ZW","ZWE",716,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","National Statistics Agency, 2018, Zimbabwe Statistics 2010, https://zimbabwe.opendataforafrica.org/awadaad/zimbabwe-statistics-2010","A",null,null,null,null,null,null,null,null,721254,735556,760162,794092,668904,688415,707136,733523,752062,775544,798964,859519,904679,968186,null,null,null,null,null,null,null,null,null,null],
    [2470,"Africa","Zimbabwe","ZW","ZWE",716,"Vehicle stock","Road","All","All","All","ROAD_EQS_TOTAL","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A, E",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1037643,1139299,null,null,null,null],
    [2471,"Africa","Zimbabwe","ZW","ZWE",716,"Vehicle stock","Road","Motorcycle","All","All","ROAD_EQS_MOTORC","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,46734,null,null,null,null],
    [2472,"Africa","Zimbabwe","ZW","ZWE",716,"Vehicle stock","Road","Car","All","All","ROAD_EQS_CAR","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,953852,null,null,null,null],
    [2473,"Africa","Zimbabwe","ZW","ZWE",716,"Vehicle stock","Road","Bus","All","All","ROAD_EQS_BUS","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,15007,null,null,null,null],
    [2474,"Africa","Zimbabwe","ZW","ZWE",716,"Vehicle stock","Road","Heavy-duty vehicle","All","All","ROAD_EQS_HDV","n","IRF (2023). World Road Statistics 2022, International Road Federation. Available at: https://worldroadstatistics.org/","A",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,123706,null,null,null,null],
    [2475,"Africa","Zimbabwe","ZW","ZWE",716,"Energy intensity","Road","Car","Electric","Urban","NRG_EIP_CARELEURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.55,null,null,null,null,null,null,null,null],
    [2476,"Africa","Zimbabwe","ZW","ZWE",716,"Energy intensity","Road","Car","Hybrid","Urban","NRG_EIP_CARHYBURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.56,null,null,null,null,null,null,null,null],
    [2477,"Africa","Zimbabwe","ZW","ZWE",716,"Energy intensity","Road","Car","Petrol","Urban","NRG_EIP_CARPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.22,null,null,null,null,null,null,null,null],
    [2478,"Africa","Zimbabwe","ZW","ZWE",716,"Energy intensity","Road","Minibus ","Petrol","Urban","NRG_EIP_MINIBUPETURB","MJ/passenger-km","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.66,null,null,null,null,null,null,null,null],
    [2479,"Africa","Zimbabwe","ZW","ZWE",716,"Load factor","Road","Car","Electric","Urban","NRG_LF_CARELEURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [2480,"Africa","Zimbabwe","ZW","ZWE",716,"Load factor","Road","Car","Hybrid","Urban","NRG_LF_CARHYBURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [2481,"Africa","Zimbabwe","ZW","ZWE",716,"Load factor","Road","Car","Petrol","Urban","NRG_LF_CARPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.4,null,null,null,null,null,null,null,null],
    [2482,"Africa","Zimbabwe","ZW","ZWE",716,"Load factor","Road","Minibus","Petrol","Urban","NRG_LF_MINIBUPETURB","passenger/vehicle","Kane, L. (2016). What do we mean by low carbon transport: Understanding how people move in Cape Town. Available at: https://www.researchgate.net/publication/308899067_What_do_we_mean_by_low_carbon_transport_Understanding_how_people_move_in_Cape_Town","D",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.8,null,null,null,null,null,null,null,null]
]}