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[]
[]
[null,null,{"$f":"title21","v":"Source:"},"WDI, 2021"]
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[null,null,{"$f":"title134","v":"Fuel consumption in transport sector (excluding aviation)"},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"title141","v":"Biodiesel"},{"$f":"I24","v":0},{"$f":"H28","v":0}]
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[null,null,{"$f":"title135","v":"Fossil fuels"},null,null,{"$f":"title78","v":"Production"},{"$f":"title79","v":"Import"},{"$f":"title81","v":"Export"},{"$f":"title136","v":"Consumption"}]
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[]
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[]
[null,null,null,null,null,{"$f":"title239","v":"Blending mandate (%)"},null,{"$f":"title240","v":"Target consumption (ML/year)"}]
[null,null,"Biodiesel",null,null,null,null,{"$f":"IFERROR(I20*F28,0)","v":0}]
[null,null,"Ethanol",null,null,null,null,{"$f":"IFERROR(I21*F29,0)","v":0}]
[]
[null,null,{"$f":"title149","v":"Energy consumption in households"}]
[null,null,{"$f":"title150","v":"Energy for heating and cooking"}]
[null,null,{"$f":"title151","v":"Fuel type         Unit"},null,{"$f":"title152","v":"Rural households"},null,{"$f":"title155","v":"Urban households"}]
[null,null,null,null,{"$f":"title153","v":"Price                 (USD)"},{"$f":"title154","v":"Consumption (per day)"},{"$f":"title153","v":"Price                 (USD)"},{"$f":"title154","v":"Consumption (per day)"}]
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[null,null,{"$f":"title163","v":"Natural gas"},{"$f":"title175","v":"m3"},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"title161","v":"Fuel oil"},{"$f":"title174","v":"l "},40.19,0,0]
[null,null,{"$f":"title164","v":"*house coal, LHV=33 MJ/kg"},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"title137","v":"Diesel"},{"$f":"title174","v":"l "},42.71,0,0]
[null,null,{"$f":"title166","v":"Electricity "},null,{"$f":"title167","v":"Households with          electricity access "},null,{"$f":"title169","v":"Electricity consupmtion                 per household"},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"title162","v":"Coal*"},{"$f":"title173","v":"kg"},31,0,0]
[null,null,null,null,{"$f":"title206","v":"%"},{"$f":"title168","v":"(number)"},{"$f":"title170","v":"(kWh/day)"},{"$f":"title171","v":"(kWh/month)"},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"title163","v":"Natural gas"},{"$f":"title175","v":"m3"},34.94,0,0]
[null,null,{"$f":"title125","v":"Urban    "},null,null,{"$f":"ROUND(E48*(Overview!H19*Overview!H17),0)","v":0}]
[null,null,{"$f":"title127","v":"Rural   "},null,null,{"$f":"ROUND(E49*(Overview!H18*Overview!H17),0)","v":0}]

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[]
[null,null,{"$f":"title176","v":"ELECTRICITY CONSUMPTION CALCULATOR"}]
[]
[null,null,{"$f":"title3","v":"Country:"},{"$f":"Overview!$E$4","v":"Select a country"}]
[]
[]
[null,null,{"$f":"title5","v":"BEFS Rapid Appraisal for"},null,null,{"$f":"+Overview!F7","v":""},null,null,null,{"$f":"title10","v":"Enter data into white cells"},null,null,{"$f":"title11","v":"Grey cells are calculated"}]
[]
[]
[null,null,{"$f":"title178","v":"Household profile - rural household"}]
[null,null,{"$f":"title179","v":"Electrical devices used in an average rural household"},null,{"$f":"title180","v":"Standard Capacity (W)"},{"$f":"title181","v":"Duty cycle"},{"$f":"title182","v":"Quantity"},null,{"$f":"title183","v":"Operating time (h/day)"},null,{"$f":"title184","v":"Monthly use        (days/month)"},null,{"$f":"title185","v":"Electricity consumption"}]
[null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"title209","v":"kWh/day"},{"$f":"title210","v":"kWh/month"}]
[null,null,{"$f":"title186","v":"TV color 25 inch"},null,110,1,null,null,null,null,null,null,{"$f":"+IF(G13=0,I13*E13*F13/1000,IF(G13>0,I13*E13*F13*G13/1000))","v":0},{"$f":"+M13*K13","v":0}]
[null,null,{"$f":"title187","v":"TV color 14 inch"},null,60,1,null,null,null,null,null,null,{"$f":"+IF(G14=0,I14*E14*F14/1000,IF(G14>0,I14*E14*F14*G14/1000))","v":0},0]
[null,null,{"$f":"title188","v":"Computer"},null,236.5,1,null,null,null,null,null,null,0,0]
[null,null,{"$f":"title189","v":"Fan 16 inch"},null,40,1,null,null,null,null,null,null,0,0]
[null,null,{"$f":"title190","v":"Air conditioner (9,000 BTU)"},null,880,1,null,null,null,null,null,null,0,0]
[null,null,{"$f":"title191","v":"Electrical iron"},null,1000,1,null,null,null,null,null,null,0,0]
[null,null,{"$f":"title192","v":"Rice cooker"},null,530,1,null,null,null,null,null,null,0,0]
[null,null,{"$f":"title193","v":"Microwave"},null,1200,1,null,null,null,null,null,null,0,0]
[null,null,{"$f":"title194","v":"Clothes washer 5 kg"},null,305,0.8,null,null,null,null,null,null,0,0]
[null,null,{"$f":"title195","v":"Electrical boiler"},null,650,1,null,null,null,null,null,null,0,0]
[null,null,{"$f":"title196","v":"Refrigerator"},null,390,0.3,null,null,null,null,null,null,0,0]
[null,null,{"$f":"title197","v":"Electrical water shower"},null,4000,1,null,null,null,null,null,null,0,0]
[null,null,{"$f":"title198","v":"Fluorescent lamp (ceiling T5)"},null,28,1,null,null,null,null,null,null,0,0]
[null,null,{"$f":"title199","v":"Compact fluorescent lamp T5"},null,14,1,null,null,null,null,null,null,0,0]
[null,null,{"$f":"title200","v":"User defined appliance"},null,null,null,null,null,null,null,null,null,0,0]
[null,null,{"$f":"title201","v":"TOTAL"},null,null,null,null,null,null,null,null,null,{"$f":"SUM(M13:M27)","v":0},{"$f":"SUM(N13:N27)","v":0}]
[]
[]
[null,null,{"$f":"title211","v":"Household profile - urban household"}]
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[null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"title209","v":"kWh/day"},{"$f":"title210","v":"kWh/month"}]
[null,null,{"$f":"title186","v":"TV color 25 inch"},null,110,1,null,null,null,null,null,null,{"$f":"+IF(G34=0,I34*E34*F34/1000,IF(G34>0,I34*E34*F34*G34/1000))","v":0},{"$f":"+M34*K34","v":0}]
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[null,null,{"$f":"title192","v":"Rice cooker"},null,530,1,null,null,null,null,null,null,0,0]
[null,null,{"$f":"title193","v":"Microwave"},null,1200,1,null,null,null,null,null,null,0,0]
[null,null,{"$f":"title194","v":"Clothes washer 5 kg"},null,305,0.8,null,null,null,null,null,null,0,0]
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[null,{"$f":"title235","v":"The following sheets contain databases. Refer to the manual for their description."}]

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[null,null,"WB:WDI 2021",null,"FAOSTAT 2021",null,null,null,"AQUASTAT 2021",null,null,null,"WB:WDI 2021",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Emissions"]
[null,null,{"$f":"title18","v":"Rural population"},{"$f":"title17","v":"Total population (1000 inhab)"},{"$f":"title247","v":"Livestock, value added (% of Agricultural Value Added)"},{"$f":"title261","v":"LSUs per 100 people, total population (LSU)"},{"$f":"title255","v":"Total area equipped for irrigation (1000 ha)"},{"$f":"_xlfn.CONCAT(G2,H4)","v":"Total area equipped for irrigation (1000 ha)year"},{"$f":"title252","v":"Long-term average precipitation (mm/year)"},{"$f":"CONCATENATE(I2,J3)","v":"Long-term average precipitation (mm/year)year"},{"$f":"title253","v":"Total internal renewable water resources (10^9 m3/year)"},{"$f":"CONCATENATE(K2,L3)","v":"Total internal renewable water resources (10^9 m3/year)year"},{"$f":"title24","v":"GDP per capita (current US$)"},{"$f":"CONCATENATE(M2,N3)","v":"GDP per capita (current US$)year"},{"$f":"title245","v":"GDP per capita (constant 2010 US$)"},{"$f":"CONCATENATE(O2,P3)","v":"GDP per capita (constant 2010 US$)year"},{"$f":"title26","v":"GDP/capita, PPP (const. 2017, int. $)"},{"$f":"CONCATENATE(Q2,R3)","v":"GDP/capita, PPP (const. 2017, int. $)year"},{"$f":"title131","v":"GDP per unit of energy use (constant 2011 PPP $ per kg of oil equivalent)"},{"$f":"CONCATENATE(S2,T3)","v":"GDP per unit of energy use (constant 2011 PPP $ per kg of oil equivalent)year"},{"$f":"title27","v":"Agriculture, value added (% of GDP)"},{"$f":"CONCATENATE(U2,V3)","v":"Agriculture, value added (% of GDP)year"},{"$f":"title41","v":"Undernourished population (%)"},{"$f":"CONCATENATE(W2,X3)","v":"Undernourished population (%)year"},{"$f":"title43","v":"Energy use (kg of oil eq. per capita)"},{"$f":"CONCATENATE(Y2,Z3)","v":"Energy use (kg of oil eq. per capita)year"},{"$f":"title44","v":"Electric power consumption (kWh per capita)"},{"$f":"CONCATENATE(AA2,AB3)","v":"Electric power consumption (kWh per capita)year"},{"$f":"title45","v":"Access to electricity (% of population)"},{"$f":"CONCATENATE(AC2,AD3)","v":"Access to electricity (% of population)year"},{"$f":"title42","v":"Poverty headcount ratio at national poverty line (% of pop.)"},{"$f":"CONCATENATE(AE2,AF3)","v":"Poverty headcount ratio at national poverty line (% of pop.)year"},{"$f":"title246","v":"Inflation, consumer prices (annual %)"},{"$f":"CONCATENATE(AG2,AH3)","v":"Inflation, consumer prices (annual %)year"},{"$f":"title251","v":"Annual freshwater withdrawals, agriculture (% of total freshwater withdrawal)"},{"$f":"CONCATENATE(AI2,AJ3)","v":"Annual freshwater withdrawals, agriculture (% of total freshwater withdrawal)year"},{"$f":"title266","v":"Access to clean fuels and technologies for cooking (% of population)"},{"$f":"CONCATENATE(AK2,AL3)","v":"Access to clean fuels and technologies for cooking (% of population)year"},{"$f":"title267","v":"Access to electricity, rural (% of rural population)"},{"$f":"CONCATENATE(AM2,AN3)","v":"Access to electricity, rural (% of rural population)year"},{"$f":"title268","v":"Access to electricity, urban (% of urban population)"},{"$f":"CONCATENATE(AO2,AP3)","v":"Access to electricity, urban (% of urban population)year"},{"$f":"title269","v":"Freshwater withdrawal as a proportion of available freshwater resources (%)"},{"$f":"CONCATENATE(AQ2,AR3)","v":"Freshwater withdrawal as a proportion of available freshwater resources (%)year"},{"$f":"title270","v":"Energy intensity level of primary energy (MJ/$2011 PPP GDP)"},{"$f":"CONCATENATE(AS2,AT3)","v":"Energy intensity level of primary energy (MJ/$2011 PPP GDP)year"},{"$f":"title256","v":"Total final energy consumption (TFEC) (TJ) "},{"$f":"CONCATENATE(AU2,AV3)","v":"Total final energy consumption (TFEC) (TJ) year"},{"$f":"title257","v":"Renewable energy share of TFEC (%)"},{"$f":"CONCATENATE(AW2,AX3)","v":"Renewable energy share of TFEC (%)year"},{"$f":"title258","v":"Total electricity output (GWh) "},{"$f":"CONCATENATE(AY2,AZ3)","v":"Total electricity output (GWh) year"},{"$f":"title259","v":"Renewable electricity output (% of total electricity output)"},{"$f":"CONCATENATE(BA2,BB3)","v":"Renewable electricity output (% of total electricity output)year"},null,"Mitigation Target","Baseline","Target Year","Mitigation Summary"]
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["Country name","Country code",2020,2020,2014,2014,null,{"$f":"title236","v":"year"}]
[{"$f":"Country2","v":"Afghanistan"},2,28797,38928,39.89,21.6,3208,2019,327,2017,65.33,2017,509,2020,549,2020,1979,2020,null,null,27.01,2020,25.6,2019,null,null,null,null,97.7,2019,54.5,2016,2.2999999999999998,2019,98.17,2017,32.44,2016,96.9,2019,100,2019,54.76,2017,2.46,2015,136427,2015,21.42,2018,1034,2015,86.05,2015,"Relative emission reduction","0.136","BAU","2030","There will be a 13.6% reduction in GHG emissions by 2030 compared to a business as usual (BAU) 2030 scenario, conditional on external support."]
[{"$f":"Country3","v":"Albania"},3,1075,2838,44.19,26.6,357,2019,1485,2017,30.2,2017,5215,2020,5064,2020,13295,2020,13.235771654698386,2014,19.25,2020,3.9,2019,808,2014,2309,"2014",100,2019,14.3,2012,1.62,2020,63.74,2017,77.42,2016,100,2019,100,2019,7.14,2017,2.89,2015,81718,2015,38.270000000000003,2018,5895,2015,100,2015,"Relative emission reduction","0.115","BAU","2030","The INDC of Albania is a baseline scenario target: it commits to reduce CO2 emissions compared to the baseline scenario in the period of 2016 and 2030 by 11.5 %. This reduction means 708 kT carbon‐dioxide emission reduction in 2030."]
[{"$f":"Country4","v":"Algeria"},4,11518,43851,37.67,16.399999999999999,1365,2019,89,2017,11.67,2017,3310,2020,4363,2020,10682,2020,10.206148686636755,2014,14.23,2020,2.5,2019,1321,2014,1356,"2014",99.5,2019,5.5,2011,2.42,2020,63.76,2017,92.62,2016,98.68,2019,99.8,2019,137.91999999999999,2017,4.13,2015,1413990,2015,0.19,2018,68798,2015,0.32,2015,"Relative emission reduction","7-22%","BAU","2030","A greenhouse gas emission reduction of 7% to 22% by 2030 compared to business as usual (BAU) levels, conditional on external assistance for the financing of the development and transfer of technologies and capacity building. A 7% GHG reduction will be achieved with domestic means."]
[{"$f":"Country5","v":"Andorra"},6,9,77,null,null,0,2019,null,null,0.31559999999999999,2017,40897,2019,40403,2020,null,null,null,null,null,null,null,null,null,null,null,null,100,2019,null,null,null,null,null,null,100,2016,100,2019,100,2019,null,null,null,null,8317,2015,18.510000000000002,2018,99,2015,86.12,2015,"Relative emission reduction","0.37","BAU","2030","[Translated] 37% of emission reduction of annual emissions compared to business a usual levels by 2030."]
[{"$f":"Country6","v":"Angola"},7,10903,32866,17.329999999999998,16,86,2019,1010,2017,148.4,2017,1896,2020,2891,2020,6198,2020,12.509980692649714,2014,9.43,2020,17.3,2019,545,2014,312,"2014",45.67,2019,32.299999999999997,2018,17.079999999999998,2019,20.78,2017,48.05,2016,null,null,72.37,2019,1.87,2017,3.61,2015,491789,2015,56.79,2018,9764,2015,53.17,2015,"Relative emission reduction","0.5","BAU","2030","The country is committed to stabilize its emissions by reducing GHG emissions up to 50% below BAU emission levels by 2030 through unconditional and conditional actions targeting the following sectors: Power generation from renewable sources; and Reforestation."]
[{"$f":"Country7","v":"Antigua and Barbuda"},8,74,98,37.08,11.9,0,2019,1030,2017,5.1999999999999998E-2,2017,14450,2020,12870,2020,17956,2020,null,null,2.14,2020,null,null,null,null,null,null,100,2019,null,null,1.43,2019,15.65,2017,98.75,2016,100,2019,100,2019,8.4600000000000009,2017,3.89,2015,4701,2015,0.9,2018,340,2015,0,2015,"Policies and actions","N/A","2006","2020/2030","Conditional mitigation targets\n1. By 2020, establish efficiency standards for the implementation of all vehicles and appliances.\n2. By 2020, finalize the technical studies with the intention to construct and operationalize a waste to energy (WTE) plant by 2025.\n3. By 20-30, achieve an energy matrix with 50MW of electricity from renewable sources both on and off-grid in the public and private sectors.\n4. By 2030, all remaining wetlands and watershed areas with carbon sequestration potential are protected as carbon sinks."]
[{"$f":"Country8","v":"Argentina"},9,3580,45377,33.869999999999997,99.6,2357,2019,591,2017,876.2,2017,8442,2020,8693,2020,19687,2020,9.3279420573740506,2014,6.84,2020,3.9,2019,2015,2014,3052,"2014",100,2019,35.5,2019,null,null,73.930000000000007,2017,98.4,2016,100,2019,100,2019,10.46,2017,4.34,2015,2385147,2015,10.52,2018,144957,2015,28.14,2015,"Relative emission reduction","15% unconditional, 30% conditional","BAU","2030","Argentina’s goal is to reduce GHG emissions by 15% in 2030 with respect to projected BAU emissions for that year. The goal includes, inter alia, actions linked to: the promotion of sustainable forest management, energy efficiency, biofuels, nuclear power, renewable energy, and transport modal shift. The criteria for selecting the actions include the potential for reducing /capturing GHG emissions and associate co-benefits, as well as the possibility of applying nationally developed technologies. Argentina could increase its reduction goal under the following conditions: a) Adequate and predictable international financing; b) support for transfer, innovation and technology development; c) support for capacity building. In this case, a reduction of 30% GHG emissions could be achieved by 2030 compared to projected BAU emissions in the same year."]
[{"$f":"Country9","v":"Armenia"},1,1087,2963,37.57,18.899999999999999,208,2019,562,2017,7.7690000000000001,2017,4267,2020,4364,2020,12593,2020,7.8296268589402196,2014,11.72,2020,3.4,2019,1018,2014,1966,"2014",100,2019,26.4,2019,1.21,2020,74.22,2017,96.9,2016,100,2019,100,2019,57.8,2017,5.38,2015,85142,2015,11.13,2018,7799,2015,28.34,2015,"Peak of carbon emissions","Total emissions won't exceed 663MtC02e and 189 tonnes per capita","N/A","2030","Armenia has stated that its total aggregate emissions between 2015 and 2050 will be \"equal to 633 million tons carbon dioxide equivalent\", and that the country will strive to \"achieve ecosystem neutral GHG emissions in 2050 (equivalent to 2.07 tons/per capita per annum) with the support of adequate (necessary and sufficient) international financial, technological and capacity building assistance."]
[{"$f":"Country10","v":"Australia"},10,3534,25687,54.56,150.4,2546,2019,534,2017,492,2017,51812,2020,56307,2020,48698,2020,8.69,2015,1.9,2020,2.5,2019,5484,2015,10059,"2014",100,2019,null,null,0.85,2020,63.43,2017,100,2016,100,2019,100,2019,6.41,2017,5.03,2015,3233353,2015,9.65,2018,252276,2015,13.64,2015,"Absolute emission reduction","26 to 28%","2005","2030","Under a Paris Agreement applicable to all, Australia will implement an economy-wide target to reduce greenhouse gas emissions by 26 to 28 per cent below 2005 levels by 2030."]
[{"$f":"Country11","v":"Austria"},11,3679,8917,64.459999999999994,32.299999999999997,100,2019,1110,2017,77.7,2017,48105,2020,47009,2020,51936,2020,13.89,2015,1.1399999999999999,2020,2.5,2019,3800,2015,8356,"2014",100,2019,13.3,2018,1.38,2020,2.21,2017,100,2016,100,2019,100,2019,9.64,2017,3.61,2015,1053513,2015,33.85,2018,61763,2015,76.489999999999995,2015,"Absolute emission reduction","At least 40%","1990","2030","The EU and its Member States are committed to a binding target of an at least 40% domestic reduction in greenhouse gas emissions by 2030 compared to 1990, to be fulfilled jointly, as set out in the conclusions by the European Council of October 2014."]
[{"$f":"Country12","v":"Azerbaijan"},52,4408,10110,51.83,29.3,1450,2019,447,2017,34.68,2017,4214,2020,5593,2020,13700,2020,11.127986460889758,2014,6.93,2020,2.5,2019,1502,2014,2202,"2014",100,2019,6,2012,2.76,2020,72.53,2017,95.54,2016,99.98,2019,100,2019,56.44,2017,3.73,2015,332414,2015,1.97,2018,24688,2015,7.04,2015,"Absolute emission reduction","0.35","1990","2030","By 2030 the Republic of Azerbaijan targets 35% reduction in the level of greenhouse gas emissions compared to 1990/base year as its contribution to the global climate change efforts."]
[{"$f":"Country13","v":"Bahamas"},12,66,393,33.21,8.8000000000000007,1,2019,1292,2017,0.7,2017,28608,2020,23971,2020,30764,2020,null,null,0.6,2019,null,null,null,null,null,null,100,2019,null,null,0.04,2020,null,null,100,2016,100,2019,100,2019,null,null,4.03,2015,25636,2015,1.02,2018,2117,2015,0,2015,"Relative emission reduction","0.3","BAU","2030","The Bahamas intends to achieve these mitigation actions through an economy-wide in GHG emission of 30% when compared to its Business as Usual (BAU) scenario by 2030."]
[{"$f":"Country14","v":"Bahrain"},13,179,1702,61.65,1.4,4,2019,83,2017,0.11600000000000001,2017,23443,2019,19019,2020,40933,2020,4.1379418425368524,2014,0.31,2020,null,null,10594,2014,19592,"2014",100,2019,null,null,-2.3199999999999998,2020,33.31,2017,100,2016,100,2019,100,2019,133.71,2017,9.7899999999999991,2015,191733,2015,0,2018,28484,2015,0,2015,"Policies and actions","N/A","N/A","2030","Bahrain’s Vision 2030 maintains that “protecting our natural environment will include conserving our naturalspacesfor future generationsto enjoy; implementing energy-efficiency regulations; directing investments to technologies that reduce carbon emissions, minimize pollution and promote the sourcing of more sustainable energy.”"]
[{"$f":"Country15","v":"Bangladesh"},16,101816,164689,13.41,13.1,5590,2019,2666,2017,1227,2017,1969,2020,1305,2020,4818,2020,13.378760634794778,2014,12.65,2020,9.6999999999999993,2019,222,2014,310,"2014",92.2,2019,24.3,2016,5.69,2020,87.82,2017,17.72,2016,88.85,2019,97.8,2019,5.72,2017,3.14,2015,1111054,2015,30.71,2018,59011,2015,1.23,2015,"Relative emission reduction","5-15%","BAU","2030","Bangladesh will reduce its GHG emissions in the power, transport, and industry sectors by 12 MtCO2e by 2030 or 5% below BAU emissions for those sectors. Bangladesh will reduce its GHG emissions in the power, transport, and industry sectors by 36 MtCO2e by 2030 or 15% below BAU emissions for those sectors."]
[{"$f":"Country16","v":"Barbados"},14,198,287,71.94,18.399999999999999,5,2019,1422,2017,0.08,2017,15191,2020,13249,2020,12870,2020,null,null,null,null,4.0999999999999996,2019,null,null,null,null,100,2019,null,null,4.0999999999999996,2019,67.650000000000006,2017,99.44,2016,100,2019,100,2019,87.5,2017,3.78,2015,11308,2015,5.84,2018,1029,2015,0,2015,"Relative emission reduction","37% and 44%","BAU","2025 and 2030","Barbados intends to achieve an economy-wide reduction in GHG emissions of 44% compared to its business as usual (BAU) scenario by 2030. In absolute terms, this translates to a reduction of 23% compared with the baseline year, 2008. As an interim target, the intention will be to achieve an economy-wide reduction of 37% compared to its business as usual (BAU) scenario by 2025, equivalent to an absolute reduction of 21% compared to 2008."]
[{"$f":"Country17","v":"Belarus"},57,1928,9399,71.64,40.200000000000003,30,2019,618,2017,57.9,2017,6411,2020,6678,2020,19148,2020,6.1236875265245061,2014,6.83,2020,2.5,2019,2929,2014,3680,"2014",100,2019,5,2019,5.55,2020,30.85,2017,98.18,2016,100,2019,100,2019,4.5999999999999996,2017,6.47,2015,657957,2015,7.22,2018,34082,2015,0.82,2015,"Absolute emission reduction","0.28","1990","2030","In order to contribute to the prevention of dangerous climate change, the Republic of Belarus submits its intended nationally determined contribution to these efforts and undertakes by 2030 to reduce greenhouse gas emissions by at least 28 per cent of the 1990 level, excluding emissions and removals in the land use, land-use change and forestry sector and without any additional conditions (the commitments do not imply the use of international carbon market mechanisms or mobilizing foreign financial resources for the implementation of best available technologies)."]
[{"$f":"Country18","v":"Belgium"},255,222,11556,59.14,37.299999999999997,24,2019,847,2017,18.3,2017,44594,2020,44361,2020,48210,2020,10.55,2015,0.72,2020,2.5,2019,4688,2015,7709,"2014",100,2019,14.8,2018,0.74,2020,1.1299999999999999,2017,100,2016,100,2019,100,2019,49.07,2017,4.74,2015,1394808,2015,10.66,2018,69548,2015,20.8,2015,"Absolute emission reduction","At least 40%","1990","2030","The EU and its Member States are committed to a binding target of an at least 40% domestic reduction in greenhouse gas emissions by 2030 compared to 1990, to be fulfilled jointly, as set out in the conclusions by the European Council of October 2014."]
[{"$f":"Country19","v":"Belize"},23,215,398,18.440000000000001,27,4,2019,1705,2017,21.73,2017,4436,2020,3583,2020,6120,2020,null,null,9.1199999999999992,2020,5.9,2019,null,null,null,null,92.72,2019,null,null,null,null,67.72,2017,85.43,2016,87.84,2019,98.48,2019,1.26,2017,5.1100000000000003,2015,12220,2015,40.119999999999997,2018,417,2015,45.24,2015,"Relative emission reduction","0.62","BAU","2030","Belize expects to increase its share of its renewable energy (RE) in Belize’s electricity mix by 85% by 2027 with a 62% carbon dioxide emissions reduction compared to a business as usual scenario (BAU). \nAim is to achieve at least a 20% reduction in conventional transportation fuel use by 2030 and promote energy efficiency in the transport sector through appropriate policies and investments.\nAim is to achieve a reduction of fuel wood consumption by 27%-66%, depending on the technology, the duration of cooking and the replacement technology."]
[{"$f":"Country20","v":"Benin"},53,6254,12123,6.72,15.6,24,2019,1039,2017,26.39,2017,1291,2020,1274,2020,3323,2020,4.8010979377064764,2014,27.11,2020,7.6,2019,417,2014,100,"2014",40.32,2019,38.5,2019,3.02,2020,25.21,2017,6.44,2016,17.37,2019,65.319999999999993,2019,0.98,2017,9.07,2015,150352,2015,43.97,2018,342,2015,5.56,2015,"Absolute emission reduction","120Mt CO2e (among which 83.% is conditional)","N/A","2030","[Translated from French] The expected impact of mitigation efforts is estimated to be 120 Mt CO2e for avoided emissions and 163 MtCO2e for sequestration between 2020 and 2030. Carbon sequestration due to national efforts around reforestation/afforestation constitutes the unconditional contribution of the Republic of Benin. (...)\nThe share of domestic national efforts is 16.4%, and the share of conditional contribution is 83.6%.\nImplementation of envisaged measures could also increase the carbon sequestration capacity of Benin by 5.7% in the 2021-2030 period through reduction of deforestation of 41.7%. For this objective, unconditional contribution is 24.6%, while conditional contribution is 75.4%."]
[{"$f":"Country21","v":"Bhutan"},18,445,772,20.51,25,33,2019,2200,2017,78,2017,3122,2020,3008,2020,10909,2020,null,null,15.82,2019,null,null,null,null,null,null,100,2019,8.1999999999999993,2017,5.63,2020,94.08,2017,52.5,2016,100,2019,100,2019,1.41,2017,10.41,2015,62845,2015,81.09,2018,7748,2015,99.99,2015,"Absolute emission reduction","Remain carbon neutral","2000","N/A","Bhutan intends to remain carbon neutral where emission of greenhouse gases will not exceed carbon sequestration by our forests, which is estimated at 6.3 million tons of CO2."]
[{"$f":"Country22","v":"Bolivia (Plurinational State of)"},19,3488,11673,41.64,101.7,297,2019,1146,2017,574,2017,3143,2020,2345,2020,7932,2020,8.0182458821332769,2014,12.22,2019,12.6,2019,789,2014,753,"2014",96.3,2019,37.200000000000003,2019,0.94,2020,91.95,2017,64,2016,87.89,2019,99.95,2019,1.18,2017,4.95,2015,278473,2015,7.57,2018,8528,2015,31.4,2015,"Policies and actions","N/A","N/A","2030","• Water: Achieve 100% drinking water coverage by 2025, with resilient delivery services. Triplicate irrigation surface to over 1 million hectares by 2030 with regards to 296.368 hectares in 2010, duplicate food production under irrigation by 2020 and triplicate by 2030, with regards to 1,69 million metric tonnes of 2010. \n• Energy: Increased participation of renewable energy to 81% by 2030, compared to 39 % in 2010. Increased power generation to 13,387 MW electricity sector by 2030, compared to 1,625 MW by 2010.\n• Forests and agriculture: Zero illegal deforestation by 2020. Increased the surface of forested and reforested areas to 4.5 million hectares by 2030."]
[{"$f":"Country23","v":"Bosnia and Herzegovina"},80,1673,3281,43.15,19,3,2019,1028,2017,37.5,2017,6032,2020,6077,2020,14340,2020,4.7932810760776308,2014,6.2,2020,2.5,2019,2194,2014,3366,"2014",100,2019,16.899999999999999,2015,-1.05,2020,null,null,63.38,2016,100,2019,100,2019,2.66,2017,8.7200000000000006,2015,180007,2015,35.4,2018,15629,2015,35.520000000000003,2015,"Absolute emission reduction","2% below BAU unconditional, 23% conditional","1990","2030","Emission reduction that BiH unconditionally might achieved, compared to the BAU scenario, is 2% by 2030 which would mean 18% higher emissions compared to the base year 1990. Significant emission reduction is only possible to achieve with international support, which would result in emission reduction of 3% compared to 1990, while compared to the BAU scenario it represents a possible reduction of 23%."]
[{"$f":"Country24","v":"Botswana"},20,685,2352,85.28,53.6,4,2019,416,2017,12.24,2017,6711,2020,7307,2020,16040,2020,12.436396575619732,2014,2.14,2020,29.3,2019,1253,2014,1749,"2014",70.180000000000007,2019,null,null,1.89,2020,35.75,2017,64.08,2016,27.58,2019,88.29,2019,2.02,2017,3.35,2015,80180,2015,28.2,2018,2967,2015,0.03,2015,"Absolute emission reduction","0.15","2010","2030","The country intends to achieve an overall emissions reduction of 15% by 2030, taking 2010 as the base year."]
[{"$f":"Country25","v":"Brazil"},21,27478,212559,42.62,86.7,8200,2019,1761,2017,8647,2017,6797,2020,10672,2020,14064,2020,10.353549538958658,2014,5.91,2020,2.5,2019,1485,2014,2601,"2014",99.8,2019,26.5,2017,3.21,2020,60.03,2017,95.59,2016,98.48,2019,100,2019,3.11,2017,4.13,2015,8876779,2015,47.06,2018,581652,2015,73.97,2015,"Absolute emission reduction","37% by 2025, 43% by 2030 (indicative)","2005","2025","Brazil intends to commit to reduce greenhouse gas emissions by 37% below 2005 levels in 2025.\nSubsequent indicative contribution: reduce greenhouse gas emissions by 43% below 2005 levels in 2030.\nType: absolute target in relation to a base year."]
[{"$f":"Country26","v":"Brunei Darussalam"},26,95,437,87.05,48.8,1,2019,2722,2017,8.5,2017,27466,2020,32402,2020,62244,2020,8.8144597002545204,2014,1.19,2020,2.5,2019,8632,2014,10243,"2014",100,2019,null,null,1.94,2020,5.76,2017,100,2016,100,2019,100,2019,3.47,2017,3.65,2015,38930,2015,0.01,2018,4200,2015,0.05,2015,"Policies and actions","63% of energy consumption reduction","BAU","2035","i. Energy sector: to reduce total energy consumption by 63% by 2035 compared to a Business-AsUsual (BAU) scenario; and to increase the share of renewables so that 10% of the total power generation is sourced from renewable energy by 2035\nii. Land Transport sector: to reduce carbon dioxide emissions from morning peak hour vehicle\nuse by 40% by 2035 compared to a business as usual scenario.\niii. Forestry sector: to increase the total gazette forest reserves to 55% of total land area, compared to the current levels of 41%."]
[{"$f":"Country27","v":"Bulgaria"},27,1684,6927,24.25,11.7,136,2019,608,2017,21.3,2017,9976,2020,8743,2020,22384,2020,6.5885996356170002,2014,3.41,2020,3,2019,2478,2014,4709,"2014",100,2019,23.8,2019,1.67,2020,14.75,2017,88.65,2016,100,2019,100,2019,41.82,2017,6.38,2015,391131,2015,19.53,2018,48742,2015,17.989999999999998,2015,"Absolute emission reduction","At least 40%","1990","2030","The EU and its Member States are committed to a binding target of an at least 40% domestic reduction in greenhouse gas emissions by 2030 compared to 1990, to be fulfilled jointly, as set out in the conclusions by the European Council of October 2014."]
[{"$f":"Country28","v":"Burkina Faso"},233,14505,20903,25.26,45.7,55,2019,748,2017,13.5,2017,831,2020,815,2020,2161,2020,null,null,20.43,2020,14.4,2019,null,null,null,null,18.38,2019,41.4,2018,1.88,2020,51.43,2017,8.9300000000000104,2016,null,null,64.59,2019,7.81,2017,6.03,2015,146863,2015,66.97,2018,999,2015,9.35,2015,"Relative emission reduction","11.6% unconditional, 18.2% conditional","BAU","2030","• Unconditional scenario: It may be seen that the sectoral mitigation is principally due to projects and programmes in agriculture, forestry and changes in land use (between 6 and 7% from 2020 to 2030), technology choices in the electrical industry (between 20 and 12% from 2020 to 2030) and energy efficiency in the manufacturing industries (3% in both 2020 and 2030). These reductions are relative to the BAU trend in the sector.\n• Conditional scenario: It may be seen that in 2030 the sectoral mitigation would come principally from projects and programmes in agriculture, forestry and changes in land use (10% reduction in comparison to the sectoral trend), reduced consumption of hydrocarbons in transportation (42%), technology choices in the electrical industry (4%) and efficiency in residential and tertiary (21%) due to mass replacement of traditional lighting with low-consumption light bulbs."]
[{"$f":"Country29","v":"Burundi"},29,10261,11891,6.99,5.9,23,2019,1274,2017,12.54,2017,274,2020,202,2020,731,2020,null,null,28.45,2020,null,null,null,null,null,null,11.06,2019,64.900000000000006,2014,7.32,2020,79.260000000000005,2017,0.84999999999999498,2016,3.09,2019,62.74,2019,10.19,2017,7.72,2015,51690,2015,85.53,2018,166,2015,82.71,2015,"Relative emission reduction","3% unconditional, 20% conditional","BAU","2030","a) Unconditional target: 3% of GHG emission reduction compared to business as usual by 2030.\nb) Objectif conditionnel: 20% of GHG emission reduction compared to business as usual by 2030, starting from 2016."]
[{"$f":"Country30","v":"Cabo Verde"},35,185,556,37.36,13.1,4,2019,228,2017,0.3,2017,3064,2020,3294,2020,6045,2020,null,null,4.8600000000000003,2020,15.4,2019,null,null,null,null,95.53,2019,35,2015,0.61,2020,92.59,2017,71.05,2016,95.94,2019,95.32,2019,8.43,2017,2.77,2015,6499,2015,23,2018,421,2015,20.21,2015,"Policies and actions","30% renewable energy target, 100% with international support","N/A","2025","Cabo Verde makes an unconditional commitment: to achieve 100% grid access by 2017; and to achieve a 30% renewable energy penetration rate into the electric grid by 2025. With international support, Cabo Verde seeks to increase the renewable energy uptake in electricity to 100% by 2025."]
[{"$f":"Country31","v":"Cambodia"},115,12668,16719,9.81,19.8,270,2019,1904,2017,476.1,2017,1513,2020,1212,2020,4192,2020,7.4934567001768393,2014,22.84,2020,6.2,2019,417,2014,271,"2014",93,2019,17.7,2012,2.46,2018,94,2017,17.690000000000001,2016,90.91,2019,99.7,2019,1.04,2017,5.77,2015,246146,2015,61.84,2018,4397,2015,46.42,2015,"Absolute emission reduction","0.27","Baseline emissions of 11,600 Gg CO2eq","2030","Cambodia intends to undertake actions as listed in Table 1, the impact of which is expected to be a maximum reduction of 3,100 Gg CO2eq compared to baseline emissions of 11,600 Gg CO2eq by 2030."]
[{"$f":"Country32","v":"Cameroon"},32,11266,26546,11.84,20.7,29,2019,1604,2017,283.10000000000002,2017,1499,2020,1491,2020,3576,2020,9.3498407134076622,2014,15.18,2020,5.3,2019,342,2014,281,"2014",63.45,2019,37.5,2014,2.44,2020,67.709999999999994,2017,23.04,2016,24.02,2019,93.24,2019,1.56,2017,4.78,2015,284269,2015,80.63,2018,6758,2015,76.12,2015,"Relative emission reduction","0.32","BAU","2035","[Translated from French] Reducing GHG emissions by 32% compared to business as usual levels for the target year (2035), and conditional on the support of the international community in the form of financing, capacity building, and technology transfers."]
[{"$f":"Country33","v":"Canada"},33,7007,38005,43.31,49.5,1218,2019,537,2017,2902,2017,43242,2020,48617,2020,45857,2020,6.23,2015,1.89,2017,2.5,2019,7631,2015,15546,"2014",100,2019,null,null,0.72,2020,7.41,2017,100,2016,100,2019,100,2019,3.68,2017,7.34,2015,7205758,2015,22.18,2018,670740,2015,63.01,2015,"Absolute emission reduction","0.3","2005","2030","Canada intends to achieve an economy-wide target to reduce its greenhouse gas emissions by 30% below 2005 levels by 2030."]
[{"$f":"Country34","v":"Central African Republic"},37,2792,4830,44.55,63.7,1,2019,1343,2017,141,2017,477,2020,378,2020,929,2020,null,null,33.92,2020,48.2,2019,null,null,null,null,14.3,2019,null,null,2.2999999999999998,2020,0.55000000000000004,2017,0.97000000000000397,2016,1.53,2019,32.1,2019,0.34,2017,8.1,2015,17654,2015,80.95,2018,171,2015,99.42,2015,"Relative emission reduction","5% by 2030 and 25% by 2050\nAdditonal 33,076.1 kt eq-CO2 reductions with international support","BAU","2030","The Central African Republic aspires to reduce its emissions by 5% and 25%, respectively, in the 2030 and 2050 horizons in comparison to its reference BaU emissions and to increase its sequestration potential. With international support, it will emit around 33,076.1 kt eq-CO2 less in 2050 than the annual reference emissions."]
[{"$f":"Country35","v":"Chad"},39,12562,16426,26.66,47.5,30,2019,322,2017,45.7,2017,614,2020,783,2020,1520,2020,null,null,47.73,2020,31.7,2019,null,null,null,null,8.4,2019,42.3,2018,-0.97,2019,76.42,2017,3.13,2016,null,null,36.700000000000003,2019,4.29,2017,2.78,2015,66382,2015,85.26,2018,228,2015,0,2015,"Absolute emission reduction","18.2% unconditional, 71% conditional","2010","2030","[Translated from French] Unconditional emissions reduction of 18.2% compared to the baseline scenario by 2030, or about 41,700 GgCO2e. Conditional emissions reduction of 71% in 2030, or a cumulative reduction of 162,000 GgCO2e."]
[{"$f":"Country36","v":"Chile"},40,2346,19116,39.979999999999997,21.3,1110,2019,1522,2017,923.1,2017,13232,2020,14050,2020,23325,2020,12.19,2015,3.86,2020,3.4,2019,2006,2015,3912,"2014",100,2019,8.6,2017,3.05,2020,83.03,2017,92.28,2016,100,2019,100,2019,8.98,2017,3.78,2015,1043329,2015,25.46,2018,75387,2015,43.6,2015,"Carbon intensity reduction","30% unconditional emission intensity reduction, 35-45% conditional","2007","2030","Reduce CO2 emissions per unit of GDP by 30% from 2007 level by 2030. Conditional on international monetary contributions, reduce CO2 emissions per unit of GDP by 35%-45% from 2007 level by 2030. Sustainable management and restoration of 100,000 hectares of principally native forest, representing sequestration of around 600,000 tons of CO2e per year, from 2030. Reforestation of 100,000 ha representing capture of 900,000-1,200,000 tons CO2e per year from 2030."]
[{"$f":"Country37","v":"China"},41,540823,1402112,34.299999999999997,22,74860,2019,645,2017,2840,2017,10500,2020,8405,2020,16411,2020,5.7041521848841681,2014,7.65,2020,2.5,2019,2237,2014,3927,"2014",100,2019,0.6,2019,2.42,2020,64.400000000000006,2017,59.26,2016,100,2019,100,2019,43.22,2017,6.69,2015,73183147,2015,13.12,2018,5844158,2015,23.93,2015,"Carbon intensity reduction","60-65% carbon intensity reduction","2005","2030","• To achieve the peaking of carbon dioxide emissions around 2030 and making best efforts to peak early;\n• To lower carbon dioxide emissions per unit of GDP by 60% to 65% from the 2005 level;\n• To increase the share of non-fossil fuels in primary energy consumption to around 20%; and\n• To increase the forest stock volume by around 4.5 billion cubic meters on the 2005 level."]
[{"$f":"Country38","v":"Colombia"},44,9451,50883,49.39,41,1087,2019,3240,2017,2360,2017,5333,2020,7228,2020,13441,2020,17.799393323681439,2014,7.68,2020,8.8000000000000007,2019,712,2014,1290,"2014",99.77,2019,35.700000000000003,2019,2.52,2020,46.95,2017,91.79,2016,98.76,2019,100,2019,2.04,2017,2.2599999999999998,2015,1068689,2015,30.72,2018,69017,2015,68.239999999999995,2015,"Relative emission reduction","20% unconditional, 30% conditional","BAU","2030","The Republic of Colombia commits to reduce its greenhouse gas emissions by 20% with respect to the projected Business-as-Usual Scenario (BAU) by 2030. Subject to the provision of international support, Colombia could increase its ambition from 20% reduction with respect to BAU to 30% with respect to BAU by 2030."]
[{"$f":"Country39","v":"Comoros"},45,614,870,10.77,6,0,2019,900,2017,1.2,2017,1403,2020,1437,2020,3141,2020,null,null,33.07,2019,null,null,null,null,null,null,84.05,2019,42.4,2013,null,null,47,2017,9.34,2016,78.239999999999995,2019,98.16,2019,0.83,2017,4.6900000000000004,2015,3547,2015,55.01,2018,42,2015,0,2015,"Absolute emission reduction","0.84","2030","2030","[Translated] The Union of the Comoros aims to reduce its greenhouse gas emissions by 84% by 2030 relative to reference scenario emission levels in the same year. This reduction includes sinks from the Land Use, Land-Use Change, and Forestry (LULUCF) sector."]
[{"$f":"Country40","v":"Congo"},46,1775,5518,10,5.8,2,2019,1646,2017,832,2017,1973,2020,2049,2020,3449,2020,10.264556821099031,2014,9,2020,37.700000000000003,2019,540,2014,197,"2014",48.33,2019,46.5,2011,1.82,2020,4.3600000000000003,2017,24.13,2016,12.67,2019,65.599999999999994,2019,0.03,2017,4.0199999999999996,2015,85165,2015,69.849999999999994,2018,1734,2015,53.34,2015,"Relative emission reduction","48% and 55%","BAU","2025 and 2035","[Translated] At least 48 % emission reduction compared to development scenario by 2025 and 55% by 2035."]
[{"$f":"Country41","v":"Cook Islands"},47,1755,0,39.799999999999997,33.9,null,null,null,null,null,null,null,null,null,null,null,null,"","",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,694,2015,0,2018,29,2015,0,2015,"Policies and actions","100% renewable energy share","2006","2020","The Cook Islands is committed to a future powered by renewable energy with targets of 50% of islands transformed from diesel based to renewable sourced electricity by 2015, to 100% coverage by 2020. Using 2006 as the base year, emission from electricity generation will be reduced by 38% by 2020"]
[{"$f":"Country42","v":"Costa Rica"},48,980,5094,27.67,28,160,2019,2926,2017,113,2017,12077,2020,9620,2020,19679,2020,13.938340029466474,2014,4.3499999999999996,2020,3.1,2019,1031,2014,1958,"2014",99.71,2019,21,2019,0.72,2020,72.069999999999993,2017,93.45,2016,98.87,2019,99.92,2019,5.45,2017,2.88,2015,151722,2015,35.700000000000003,2018,10812,2015,99,2015,"Relative emission reduction","0.44","BAU","2030","First, Costa Rica would like to reaffirm its aspiration of becoming a Carbon Neutral economy starting year 2021, as a culmination of its voluntary, pre-2020 action.Second, the country is committed to a maximum of 9,374,000 T CO2eq net emissions by 2030, with proposed emissions per capita of 1.73 net tons by 2030, 1.19 Net Tons per Capita by 2050 and -0.27 Net Tons per Capita by 2100. (...) Costa Rica’s commitment includes an emissions reduction of GHG of 44%, of a Business As Usual (BAU) scenario, and a reduction of 25% of emission compared to 2012 emissions. To accomplish this goal Costa Rica would have to reduce 170,500 tons of GHG per year until the year 2030."]
[{"$f":"Country43","v":"Croatia"},98,1718,4047,47.09,17.2,30,2019,1113,2017,105.5,2017,13828,2020,15204,2020,26465,2020,10.730305914242754,2014,3.27,2020,2.5,2019,1898,2014,3714,"2014",100,2019,18.3,2018,0.77,2019,10.63,2017,92.7,2016,100,2019,100,2019,1.5,2017,4.05,2015,270440,2015,32.85,2018,11238,2015,66.83,2015,"Absolute emission reduction","At least 40%","1990","2030","The EU and its Member States are committed to a binding target of an at least 40% domestic reduction in greenhouse gas emissions by 2030 compared to 1990, to be fulfilled jointly, as set out in the conclusions by the European Council of October 2014."]
[{"$f":"Country44","v":"Cuba"},49,2583,11327,28.45,34.6,639,2019,1335,2017,38.119999999999997,2017,9099,2019,6804,2019,null,null,null,null,3.78,2018,2.5,2019,1023,2014,1434,"2014",99.8,2019,null,null,null,null,64.94,2017,79.44,2016,99.46,2019,99.9,2019,23.94,2017,2.11,2015,299420,2015,20.85,2018,20288,2015,3.95,2015,"Policies and actions","Renewable energy share increase","N/A","2030","[In Spanish] Teniendo como base el potencial de fuentes renovables disponible en el país, se prevé la instalación de 2 144 MW de potencia conectada a la red eléctrica nacional, que incluye la construcción de: 19 bioeléctricas anexas a los centrales, azucareros con 755 MW a partir de la biomasa cañera y forestal, 13 parques eólicos con 633 MW, 700 MW Fotovoltaicos y, 74 pequeñas centrales hidroeléctricas"]
[{"$f":"Country45","v":"Cyprus"},50,401,1207,65.16,18,38,2019,498,2017,0.78,2017,26624,2020,30438,2020,37655,2020,12.925251510254418,2014,1.88,2020,2.5,2019,1712,2014,3625,"2014",100,2019,14.7,2018,-0.64,2020,59.16,2017,100,2016,100,2019,100,2019,29.52,2017,3.27,2015,58919,2015,12.14,2018,4533,2015,8.7799999999999994,2015,"Absolute emission reduction","At least 40%","1990","2030","The EU and its Member States are committed to a binding target of an at least 40% domestic reduction in greenhouse gas emissions by 2030 compared to 1990, to be fulfilled jointly, as set out in the conclusions by the European Council of October 2014."]
[{"$f":"Country46","v":"Czech Republic"},167,2775,10699,54.33,14.1,46,2019,677,2017,13.15,2017,22762,2020,22843,2020,38319,2020,9.3699999999999992,2015,1.93,2020,2.5,2019,3860,2015,null,null,100,2019,10.1,2018,3.16,2020,2.86,2017,97.13,2016,100,2019,100,2019,24.79,2017,5.51,2015,962826,2015,14.73,2018,82616,2015,11.4,2015,"Absolute emission reduction","At least 40%","1990","2030","The EU and its Member States are committed to a binding target of an at least 40% domestic reduction in greenhouse gas emissions by 2030 compared to 1990, to be fulfilled jointly, as set out in the conclusions by the European Council of October 2014."]
[{"$f":"Country47","v":"Côte d'Ivoire"},107,12739,26378,3.99,8.1,73,2019,1348,2017,84.14,2017,2326,2020,1715,2020,5174,2020,4.9602442925806809,2014,20.67,2019,14.9,2019,616,2014,276,"2014",68.55,2019,39.5,2018,2.4300000000000002,2020,51.64,2017,18.23,2016,41.89,2019,93.92,2019,5.09,2017,7.24,2015,282468,2015,63.53,2018,8711,2015,16.73,2015,"Relative emission reduction","0.28","BAU","2030","[Translated] Reduction of 28% in GHG emissions compared to emissions in the target year (2030) in a baseline scenario (BAU or Business As Usual)."]
[{"$f":"Country48","v":"Democratic People's Republic of Korea"},116,9698,25779,19.72,5.8,1460,2019,1054,2017,77.150000000000006,2017,null,null,null,null,null,null,null,null,null,null,42.4,2019,474,2014,600,"2014",49.37,2019,null,null,null,null,76.349999999999994,2017,10.8,2016,61.47,2019,42,2019,27.74,2017,null,null,275616,2015,33.659999999999997,2018,13737,2015,72.8,2015,"Relative emission reduction","8% unconditional, 40.25% conditional","BAU","2030","The mitigation component includes both unconditional and conditional contributions. The unconditional contributions are measures that will be implemented using domestic resources.\nWith domestic resources, GHG emissions will be reduced by 8.0% by 2030 compared to the Business as Usual scenario (BAU). The  conditional contributions are measures that could be implemented if additional international financial support, technology transfer and capacity building are received. The national contribution could be increased up to 40.25% with international support."]
[{"$f":"Country49","v":"Democratic Republic of the Congo"},250,48687,89561,6.39,1.8,11,2019,1543,2017,1283,2017,557,2020,414,2020,1072,2020,2.0159473431892199,2014,20.329999999999998,2020,41.7,2019,390,2014,109,"2014",19.100000000000001,2019,63.9,2012,2.89,2016,10.52,2017,4.0199999999999996,2016,1,2019,41,2019,0.23,2017,20.94,2015,900161,2015,96.38,2018,8942,2015,99.82,2015,"Relative emission reduction","0.17","BAU","2030","[Translated] The DRC commits to reduce its emissions by 17% by 2030 compared to business-as-usual  emissions (430 Mt CO2e), or a reduction of slightly more than 70 Mt CO2e avoided (Ministry of the Environment, 2009)"]
[{"$f":"Country50","v":"Denmark"},54,693,5831,82.35,83.5,354,2019,703,2017,6,2017,60909,2020,63880,2020,55938,2020,18.78,2015,1.37,2020,2.5,2019,2817,2015,5859,"2014",100,2019,12.5,2018,0.42,2020,44.08,2017,100,2016,100,2019,100,2019,20.04,2017,2.61,2015,546908,2015,35.33,2018,28947,2015,65.510000000000005,2015,"Absolute emission reduction","At least 40%","1990","2030","The EU and its Member States are committed to a binding target of an at least 40% domestic reduction in greenhouse gas emissions by 2030 compared to 1990, to be fulfilled jointly, as set out in the conclusions by the European Council of October 2014."]
[{"$f":"Country51","v":"Djibouti"},72,217,988,85.61,34.299999999999997,1,2019,220,2017,0.3,2017,3426,2020,null,null,5481,2020,null,null,1.31,2020,16.2,2019,null,null,null,null,61.28,2019,21.1,2017,3.32,2019,15.79,2017,11.52,2016,24.99,2019,71.56,2019,6.33,2017,3.41,2015,4947,2015,27.84,2018,405,2015,0,2015,"Absolute emission reduction","0.4","2010","2030","Through unconditional measures the Republic of Djibouti commits to avoid 1.8 MtCO2e of future emissions, reducing its emissions by 40% compared to the reference scenario."]
[{"$f":"Country52","v":"Dominica"},55,21,72,19.52,18.2,0,2019,2083,2014,0.2,2017,6527,2020,5741,2020,9891,2020,null,null,15.35,2020,5.6,2019,null,null,null,null,100,2019,null,null,1.5,2019,5,2017,90.6,2016,100,2019,null,2019,10,2017,3.61,2015,1495,2015,8.17,2018,151,2015,16.18,2015,"Absolute emission reduction","39.2% and 44.7%","2014","2025 and 2030","Dominica commits to progressively reduce total gross greenhouse gas (GHG) emissions below 2014 levels (164.5 Ggs est.) at the following reduction rates: 17.9% by 2020; 39.2% by 2025; and 44.7% by 2030…\nBy 2030, total emission reductions per sector will be as follows: Energy industries – 98.6% (principally from harnessing of geothermal resources); Transport – 16.9%; Manufacturing and construction – 8.8%; Commercial/institutional, residential, agriculture, forestry, fishing – 8.1%; Solid waste – 78.6%."]
[{"$f":"Country53","v":"Dominican Republic"},56,1894,10848,35.380000000000003,38.700000000000003,307,2019,1410,2017,23.5,2017,7268,2020,7390,2020,17003,2020,17.24251919573797,2014,6.04,2020,8.3000000000000007,2019,734,2014,1578,"2014",100,2019,21,2019,3.78,2020,83.31,2017,90.41,2016,100,2019,100,2019,50.31,2017,2.4500000000000002,2015,226655,2015,16.09,2018,18457,2015,11.63,2015,"Absolute emission reduction","0.25","2010","2030","Reduction of 25% of base year [2010] emissions by 2030. This reduction is conditional upon favorable and predictable support, feasible climate finance mechanisms, and corrections to the failures of existing market mechanisms."]
[{"$f":"Country54","v":"Ecuador"},58,6322,17643,38.36,35.6,1710,2019,2274,2017,442.4,2017,5600,2020,4628,2020,10329,2020,12.225588962688432,2014,9.8000000000000007,2020,12.4,2019,892,2014,1381,"2014",100,2019,25,2019,-0.34,2020,81.430000000000007,2017,95.58,2016,100,2019,100,2019,6.78,2017,3.62,2015,494684,2015,16.329999999999998,2018,25830,2015,52.8,2015,"Relative emission reduction","20.4 to 25% unconditional for the energy sector, 37.5 to 45.8% conditional","BAU","2030","Ecuador intends to reduce its emissions in the energy sector in 20.4-25% below the BAU scenario. However, a potential for reducing emissions even further in the energy sector, to a level between 37.5 and 45.8% with respect to the BAU baseline has also been calculated.  This potential could be harnessed in light of the appropriate circumstances in terms of availability of resources and support offered by the international community. This is a second scenario dependent upon\ninternational support and will translate into a per capita emissions reduction in 2025 of 40% below the BAU levels."]
[{"$f":"Country55","v":"Egypt"},59,58553,102334,29.42,10.3,3823,2019,18.100000000000001,2017,57.5,2017,3548,2020,3058,2020,11951,2020,12.123886888634109,2014,11.51,2020,5.4,2019,815,2014,1658,"2014",100,2019,32.5,2017,5.04,2020,79.16,2017,97.62,2016,100,2019,100,2019,116.94,2017,3.51,2015,2086105,2015,4.74,2018,181977,2015,8.26,2015,"Policies and actions","N/A","N/A","2030","Pathways to achieving high CO2 mitigation levels comprise the following:\n* Widespread diffusion of locally-appropriate low-carbon energy production technologies, with substantial reductions in energy intensity\n* Comprehensive mitigation efforts covering all major sources of emissions\n* Locally-appropriate technology transfer and financial flows from industrialized countries (Annex I countries) to support carbon emission abatement according to the UNFCCC principles, which acknowledges that developed countries should provide required support to developing countries in this regard."]
[{"$f":"Country56","v":"El Salvador"},60,1722,6486,44.45,17.399999999999999,45,2019,1784,2017,26.27,2017,3799,2020,3279,2020,8057,2020,10.645173686756245,2014,5.1100000000000003,2020,8.5,2019,647,2014,939,"2014",100,2019,22.8,2019,-0.37,2020,67.56,2017,86,2016,100,2019,99.02,2019,13.21,2017,3.65,2015,103162,2015,23.21,2018,5989,2015,57.82,2015,"Policies and actions","N/A","N/A","2025-2030","[Translated from Spanish]  El Salvador has a number of contributions in order to establish a legislative and institutional framework that can guide economic and social development towards low emissions and adaptation to climate change."]
[{"$f":"Country57","v":"Equatorial Guinea"},61,377,1403,3.04,1.5,1,2019,2156,2017,26,2017,7143,2020,8466,2020,17008,2020,null,null,2.99,2020,null,null,null,null,null,null,66.59,2019,null,null,4.7699999999999996,2020,5.05,2017,34.39,2016,2.16,2019,90.88,2019,0.18,2017,2.21,2015,67461,2015,4.9000000000000004,2018,939,2015,57.83,2015,"Absolute emission reduction","0.2","2010","2030","[Translated] Equatorial Guinea's ambition is to reduce emissions by 20% by 2030 relative to 2010 levels, in order to achieve a 50% reduction by 2050."]
[{"$f":"Country58","v":"Eritrea"},178,3109,3453,63.79,33.799999999999997,21,2019,384,2017,7.3150000000000004,2017,null,null,null,null,null,null,8.8978525170315148,2011,null,null,null,null,170,2011,null,null,50.39,2019,null,null,null,null,94.5,2017,16.32,2016,36.69,2019,75.650000000000006,2019,11.18,2017,4.83,2015,23500,2015,73.19,2018,406,2015,0.49,2015,"Relative emission reduction","39.2% unconditional and 80.6 % conditional","BAU","2030","The government of the State of Eritrea is committed to reduce the CO2 emissions from fossil fuels by 23.1% in 2020, 30.2 % by 2025 and 39.2% by 2030 visa-vis to the reference year. If additional support is solicited, it can be further reduced by 36.4 % in 2020, 61.1% by 2025 and 80.6% by 2030.\nThe BAU scenario for all GHG gases expected to increase to: 5 MtCO2eq in 2020, 5.5 MtCO2eq in 2025 and in 2030 6.3 MtCO2eq."]
[{"$f":"Country59","v":"Estonia"},63,410,1331,71.34,21.3,3,2019,626,2017,12.81,2017,23312,2020,20162,2020,35638,2020,7.46,2015,1.94,2020,2.5,2019,4173,2015,6732,"2014",100,2019,21.7,2018,-0.44,2020,0.25,2017,92.89,2016,100,2019,100,2019,19.309999999999999,2017,6.32,2015,114899,2015,28.84,2018,10417,2015,14.42,2015,"Absolute emission reduction","At least 40%","1990","2030","The EU and its Member States are committed to a binding target of an at least 40% domestic reduction in greenhouse gas emissions by 2030 compared to 1990, to be fulfilled jointly, as set out in the conclusions by the European Council of October 2014."]
[{"$f":"Country60","v":"Ethiopia"},238,90022,114964,24.85,40.299999999999997,858,2019,848,2017,122,2017,936,2020,623,2020,2297,2020,2.8673210909382223,2014,35.450000000000003,2020,16.2,2019,497,2014,70,"2014",48.27,2019,23.5,2015,15.84,2019,91.84,2017,3.51,2016,36.28,2019,92.78,2019,32.26,2017,13.67,2015,1708132,2015,89.92,2018,10437,2015,99.96,2015,"Relative emission reduction","0.64","BAU","2030","Ethiopia intends to limit its net greenhouse gas (GHG) emissions in 2030 to 145 Mt CO2e or lower. This would constitute a 255 MtCO2e reduction from the projected ‘business-asusual’ (BAU) emissions in 2030 or a 64% reduction from the BAU scenario in 2030. Ethiopia also intends to undertake adaptation initiatives to reduce the vulnerability of its population, environment and economy to the adverse effects of climate change, based on its Climate Resilient Green Economy Strategy (CRGE)."]
[{"$f":"Country61","v":"Faroe Islands (Associate Member)"},64,28,49,85.77,18.2,null,null,null,null,null,null,64225,2019,null,null,null,null,null,null,18.170000000000002,2019,null,null,null,null,null,null,100,2019,null,null,null,null,null,null,null,null,100,2019,100,2019,null,null,null,null,8295,2015,5.86,2018,314,2015,60.07,2015,"","","","",""]
[{"$f":"Country62","v":"Fiji"},66,383,896,38.21,36.5,4,2019,2592,2017,28.55,2017,4882,2020,3808,2020,10997,2020,null,null,14.89,2020,5.6,2019,null,null,null,null,100,2019,29.9,2019,-2.6,2020,58.89,2017,39.56,2016,100,2019,100,2019,0.3,2017,4.8499999999999996,2015,23962,2015,27.87,2018,914,2015,45.02,2015,"Relative emission reduction","30% CO2 emission reduction in the energy sector","BAU","2030","Sector specific reduction focusing on a renewable energy target for electricity generation. In addition a general emissions reduction by improvements in energy efficiency economy wide. The target is for the renewable energy share in electricity generation to approach 100% by 2030 from around 60% in 2013. In addition an indicative reduction of 10% CO2 emissions for energy efficiency improvements economy wide will be sought. These measures will reduce CO2 emissions in the energy sector by around 30% from BAU by 2030."]
[{"$f":"Country63","v":"Finland"},67,801,5531,75.459999999999994,23.2,55,2019,536,2017,110,2017,49041,2020,47864,2020,47261,2020,7.61,2015,2.4500000000000002,2020,2.5,2019,5925,2015,15250,"2014",100,2019,12.2,2019,0.28999999999999998,2020,2.68,2017,100,2016,100,2019,100,2019,15.56,2017,6.37,2015,967639,2015,44.22,2018,68597,2015,44.5,2015,"Absolute emission reduction","At least 40%","1990","2030","The EU and its Member States are committed to a binding target of an at least 40% domestic reduction in greenhouse gas emissions by 2030 compared to 1990, to be fulfilled jointly, as set out in the conclusions by the European Council of October 2014."]
[{"$f":"Country64","v":"France"},68,12821,67392,50.86,36.5,2691,2019,867,2017,211,2017,38625,2020,40521,2020,42026,2020,11.74,2015,1.72,2020,2.5,2019,3692,2015,6940,"2014",100,2019,13.6,2018,0.48,2020,11.77,2017,100,2016,100,2019,100,2019,23.14,2017,4.0999999999999996,2015,5632163,2015,15.25,2018,563494,2015,15.86,2015,"Absolute emission reduction","At least 40%","1990","2030","The EU and its Member States are committed to a binding target of an at least 40% domestic reduction in greenhouse gas emissions by 2030 compared to 1990, to be fulfilled jointly, as set out in the conclusions by the European Council of October 2014."]
[{"$f":"Country65","v":"Gabon"},74,221,2226,9.4,7.6,4,2019,1831,2017,166,2017,7006,2020,8840,2020,14400,2020,6.1639347794189971,2014,6.4,2020,15.7,2019,null,null,1173,"2014",90.69,2019,33.4,2017,1.18,2020,28.97,2017,79.12,2016,24.15,2019,98.29,2019,0.5,2017,6.54,2015,197756,2015,89.89,2018,2126,2015,43.74,2015,"Relative emission reduction","At least 50%","BAU","2025","[Translated] Gabon commits to reduce GHG emissions by at least 50 percent from baseline scenario emissions in 2025."]
[{"$f":"Country66","v":"Gambia"},75,904,2417,20.41,16.399999999999999,5,2019,836,2017,8,2017,787,2020,792,2020,2159,2020,null,null,21.8,2019,13.6,2019,null,null,null,null,59.92,2019,48.6,2015,5.93,2020,38.58,2017,3.3,2016,27.59,2019,79.8,2019,2.21,2017,4.5,2015,10206,2015,52.38,2018,284,2015,0,2015,"Absolute emission reduction","44.4% and 45.4%","2010","2025 and 2030","Excluding LULUCF and for Low Emissions Scenario, overall emissions will be reduced by about 44.4% in 2025 and 45.4% in 2030."]
[{"$f":"Country67","v":"Georgia"},73,1506,3714,47.62,24,427,2019,1026,2017,63.33,2017,4279,2020,4679,2020,14089,2020,7.42794462769921,2014,7.37,2020,8.6999999999999993,2019,1178,2014,2688,"2014",100,2019,19.5,2019,5.2,2020,58.19,2017,77.790000000000006,2016,100,2019,100,2019,5.94,2017,5.78,2015,157679,2015,27.94,2018,10833,2015,78.040000000000006,2015,"Relative emission reduction","15% unconditional and 25% conditional","BAU","2030","Georgia plans to unconditionally reduce its GHG emissions by 15% below the Business as usual scenario (BAU) for the year 2030. This is equal to reduction in emission intensity per unit of GDP by approximately 34% from 2013 to 2030."]
[{"$f":"Country68","v":"Germany"},79,18768,83241,67.33,25,676,2019,700,2017,154,2017,45724,2020,45065,2020,50922,2020,13.38,2015,0.66,2020,2.5,2019,3818,2015,7035,"2014",100,2019,14.8,2018,0.51,2020,1.23,2017,100,2016,100,2019,100,2019,33.5,2017,3.6,2015,8327615,2015,15.8,2018,640967,2015,29.23,2015,"Absolute emission reduction","At least 40%","1990","2030","The EU and its Member States are committed to a binding target of an at least 40% domestic reduction in greenhouse gas emissions by 2030 compared to 1990, to be fulfilled jointly, as set out in the conclusions by the European Council of October 2014."]
[{"$f":"Country69","v":"Ghana"},81,13253,31073,4.43,10.1,36,2019,1187,2017,56.2,2017,2329,2020,1848,2020,5305,2020,11.425464713035931,2014,18.239999999999998,2020,6.1,2019,335,2014,355,"2014",83.5,2019,23.4,2016,9.9499999999999993,2020,73.06,2017,21.71,2016,70.010000000000005,2019,93.8,2019,6.31,2017,3.75,2015,283140,2015,41.98,2018,11491,2015,50.89,2015,"Relative emission reduction","15% unconditional, 45% conditional","BAU","2030","Ghana's emission reduction goal is to unconditionally lower its GHG emissions by 15 percent relative to a business-as-usual (BAU) scenario emission of 73.95MtCO2e by 2030."]
[{"$f":"Country70","v":"Greece"},84,2174,10716,23.53,23.5,1530,2019,652,2017,68.400000000000006,2017,17676,2020,21577,2020,27287,2020,12.95,2015,4.12,2020,2.5,2019,2182,2015,5063,"2014",100,2019,17.899999999999999,2018,-1.25,2020,80.430000000000007,2017,94.29,2016,100,2019,100,2019,22.74,2017,3.72,2015,656633,2015,17.86,2018,51822,2015,28.66,2015,"Absolute emission reduction","At least 40%","1990","2030","The EU and its Member States are committed to a binding target of an at least 40% domestic reduction in greenhouse gas emissions by 2030 compared to 1990, to be fulfilled jointly, as set out in the conclusions by the European Council of October 2014."]
[{"$f":"Country71","v":"Grenada"},86,71,113,23.53,7.9,2,2019,2350,2017,0.2,2017,9680,2020,8153,2020,15066,2020,null,null,4.87,2020,null,null,null,null,null,null,95.43,2019,null,null,0.6,2019,14.89,2014,96.58,2016,null,null,null,null,null,null,2.97,2015,2876,2015,10.39,2018,207,2015,0,2015,"Absolute emission reduction","30% by 2025, with an indicative 40%","2010","2025 and 2030","Grenada commits to reducing its Greenhouse gas emissions by 30% of 2010 by 2025, with an indicative reduction of 40% of 2010 by 2030."]
[{"$f":"Country72","v":"Guatemala"},89,8120,16858,17.7,22.7,338,2019,1996,2017,127.9,2017,4603,2020,3264,2020,8393,2020,8.6103703829006335,2014,10.24,2020,16.8,2019,830,2014,578,"2014",95.72,2019,59.3,2014,3.21,2020,56.74,2017,45.23,2016,93.99,2019,97.37,2019,5.74,2017,4.4800000000000004,2015,429959,2015,64.099999999999994,2018,11058,2015,60.39,2015,"Relative emission reduction","11.2% unconditional, 22.6% conditional","BAU","2030","INDC under further analysis"]
[{"$f":"Country73","v":"Guinea"},90,8290,13133,13.5,30,95,2019,1651,2017,226,2017,1194,2020,960,2020,2671,2020,null,null,23.67,2020,null,null,null,null,null,null,42.42,2019,43.7,2018,10.6,2020,51.04,2017,1.24,2016,16.39,2019,87.71,2019,0.88,2017,10.62,2015,137987,2015,69.88,2018,1118,2015,78.75,2015,"Absolute emission reduction","0.13","1994","2030","13% of GHG emission reduction by 2030 compared to 1994, without land use, land use change and forestry (LULUCF)."]
[{"$f":"Country74","v":"Guinea-Bissau"},175,1098,1968,18.47,31.9,25,2019,1577,2017,31.4,2017,728,2020,590,2020,1847,2020,null,null,30.86,2020,null,null,null,null,null,null,31.04,2019,69.3,2010,0.25,2019,75.790000000000006,2017,1.52,2016,12.91,2019,54.33,2019,1.5,2017,12.02,2015,27257,2015,86.79,2018,36,2015,0,2015,"Policies and actions","N/A","N/A","N/A","Guinea-Bissau is an absolute sink of greenhouse gases, given the high potential for sequestration of its forest sector.\nThe main responsible for emissions in Guinea-Bissau is the change in the use of land and forests. Deforestation is responsible for emitting large amounts of CO2 into the atmosphere. The estimates show a decline of around 625,000 m3 of wood per year. Therefore, the main mitigation measure to be adopted by the country, which may be a national contribution, is related to reforestation. The second sector that contributes more to GHG emissions is the energy sector."]
[{"$f":"Country75","v":"Guyana"},91,576,787,13.91,45.9,143,2019,2387,2017,271,2017,6956,2020,8741,2020,18680,2020,null,null,16.850000000000001,2020,5.2,2019,null,null,null,null,92.02,2019,null,null,2.09,2019,94.34,2017,74.48,2016,90.23,2019,96.96,2019,3.3,2017,6.36,2015,26619,2015,16.809999999999999,2018,1039,2015,0,2015,"Policies and actions","100% share of renewable energy","N/A","2025","Guyana‟s Low Carbon Development Strategy (LCDS) was first formulated in 2008. Implementation of the LCDS has been financed primarily with Guyana REDD+ Investment Fund (GRIF) resources earned under the Guyana Norway Agreement (GNA). With additional, timely, adequate and accessible resources, Guyana can build on this achievement and the lessons learned over the past five years to embark on a more inclusive and comprehensive path to a low-emission Green Economy. More specifically, with the provision of adequate resources, Guyana can increase its share of renewable energy by 100% by the year 2025."]
[{"$f":"Country76","v":"Haiti"},93,4893,11403,16.399999999999999,17.3,97,2019,1440,2017,14.03,2017,1177,2020,1188,2020,2773,2020,4.2078663087034629,2014,19.8,2020,46.8,2019,393,2014,39,"2014",45.37,2019,58.5,2012,22.8,2020,83.38,2017,4.34,2016,0.98,2019,79.98,2019,13.38,2017,10.11,2015,136691,2015,76.239999999999995,2018,1038,2015,8,2015,"Relative emission reduction","5% unconditional, 26% conditional","BAU","2030","[Translated] Unconditional: Reduce 5% of GHG emissions compared to reference scenario.\nConditional: Reduce 26% of GHG emissions compared to reference scenario."]
[{"$f":"Country77","v":"Honduras"},95,4124,9905,31.94,33.5,90,2019,1976,2017,92.16,2017,2406,2020,2011,2020,5138,2020,6.960965846011482,2014,12.12,2020,13.5,2019,608,2014,630,"2014",92.78,2019,48.3,2018,3.47,2020,73.3,2017,53.1,2016,82.92,2019,100,2019,4.62,2017,6.15,2015,198454,2015,50.06,2018,8965,2015,42.28,2015,"Relative emission reduction","0.15","BAU","2030","A 15% emissions reduction relative to BAU levels in 2030 for all sectors included in this BAU scenario. This commitment is conditional upon favorable and predictable support and available climate financing mechanisms."]
[{"$f":"Country78","v":"Hungary"},97,2736,9750,36.54,17,230,2019,589,2017,104,2017,15899,2020,16745,2020,31008,2020,11.3,2015,3.45,2020,2.5,2019,2433,2015,3966,"2014",100,2019,12.3,2018,3.33,2020,11.52,2017,100,2016,100,2019,100,2019,7.77,2017,4.32,2015,707441,2015,13.53,2018,30342,2015,10.58,2015,"Absolute emission reduction","At least 40%","1990","2030","The EU and its Member States are committed to a binding target of an at least 40% domestic reduction in greenhouse gas emissions by 2030 compared to 1990, to be fulfilled jointly, as set out in the conclusions by the European Council of October 2014."]
[{"$f":"Country79","v":"Iceland"},99,22,366,96.81,52.9,null,2019,1940,2017,170,2017,59261,2020,47630,2020,52280,2020,2.98,2015,4.41,2020,2.5,2019,17479,2015,53832,"2014",100,2019,8.8000000000000007,2017,2.85,2020,0.11,2017,100,2016,100,2019,100,2019,0.39,2017,16.559999999999999,2015,118646,2015,78.209999999999994,2018,18799,2015,99.98,2015,"Absolute emission reduction","0.4","1990","2030","Iceland aims to be part of a collective delivery by European countries to reach a target of 40% reduction of greenhouse gas emissions by 2030 compared to 1990 levels. A precise commitment for Iceland within such collective delivery has yet to be determined, and is dependent on an agreement with the European Union and its Member States and possibly other countries."]
[{"$f":"Country80","v":"India"},100,898024,1380004,26.83,13.7,70400,2019,1083,2017,1911,2017,1901,2020,1961,2020,6118,2020,8.4482271789876613,2014,18.32,2020,15.3,2019,637,2014,806,"2014",97.82,2019,21.9,2011,6.62,2020,90.41,2017,41.04,2016,96.67,2019,100,2019,66.489999999999995,2017,4.7300000000000004,2015,22241458,2015,31.69,2018,1383004,2015,15.34,2015,"Carbon intensity reduction","33 to 35% carbon intensity reduction","2005","2030","3. To reduce the emissions intensity of its GDP by 33 to 35 percent by 2030 from 2005 level.\n4. To achieve about 40 percent cumulative electric power installed capacity from nonfossil fuel based energy resources by 2030 with the help of transfer of technology and low cost international finance including from Green Climate Fund (GCF).\n5. To create an additional carbon sink of 2.5 to 3 billion tonnes of CO2 equivalent through additional forest and tree cover by 2030."]
[{"$f":"Country81","v":"Indonesia"},101,118597,273524,11.32,13.1,6722,2019,2702,2017,2019,2017,3870,2020,4312,2020,11445,2020,11.316851232678255,2014,13.7,2020,6.5,2019,884,2014,910,2015,98.85,2019,9.4,2019,1.92,2020,85.21,2017,58.37,2016,97.53,2019,99.89,2019,29.7,2017,3.53,2015,6513819,2015,20.86,2018,233984,2015,10.65,2015,"Relative emission reduction","29% unconditional, 41% conditional","BAU","2030","Indonesia has committed to reduce unconditionally 26% of its greenhouse gases against the business as usual scenario by the year 2020...Indonesia is committed to reducing emissions by 29% compared to the business as usual (BAU) scenario by 2030... Indonesia's target should encourage support from international cooperation, which is expected to help Indonesia to increase its contribution up to 41% reduction in emissions by 2030."]
[{"$f":"Country82","v":"Iran (Islamic Republic of)"},102,20264,83993,28.64,26.2,9600,2019,228,2017,137,2017,2283,2020,5944,2020,12433,2020,5.5975704297361411,2014,12.81,2020,5.5,2019,3023,2014,2986,"2014",100,2019,null,null,39.909999999999997,2019,92.18,2017,98.49,2016,100,2019,100,2019,81.290000000000006,2017,7.79,2015,6565403,2015,1,2018,280633,2015,5.0999999999999996,2015,"Relative emission reduction","4% unconditional,  8% conditional","BAU","2030","On the basis of national capabilities, financial resources available and requirements of the national development program, taking into account GHGs emission scenarios, the Islamic Republic of Iran intends to participate by mitigating its GHGs emission in 2030 by 4% compared to the Business As Usual (BAU) scenario."]
[{"$f":"Country83","v":"Iraq"},103,11708,40223,20.89,10,3525,2019,216,2017,89.86,2017,4157,2020,4927,2020,9255,2020,10.497645742292265,2014,6.07,2020,37.5,2019,1413,2014,1306,"2014",100,2019,18.899999999999999,2012,-0.2,2019,91.49,2017,97.63,2016,100,2019,100,2019,54.13,2017,3.72,2015,734477,2015,0.48,2018,68922,2015,3.73,2015,"Relative emission reduction","2% conditional and 13% unconditional","BAU","2035","[Translated from Arabic] Iraq has set targets to reduce greenhouse gas (GHG) emissions by 15% below business-as-usual (BAU) emissions by 2035. Of the 90 million metric tons of CO2 equivalent, 2% will be conditional and an additional 13% will be achieved through the unconditional target."]
[{"$f":"Country84","v":"Ireland"},104,1815,4995,92.7,157.19999999999999,null,null,1118,2017,52,2017,83813,2020,81297,2020,89689,2020,25.62,2015,0.94,2020,2.5,2019,2820,2015,5672,"2014",100,2019,13.1,2018,-0.33,2020,20.79,2017,100,2016,100,2019,100,2019,3.64,2017,1.95,2015,430018,2015,10.74,2018,28099,2015,27.97,2015,"Absolute emission reduction","At least 40%","1990","2030","The EU and its Member States are committed to a binding target of an at least 40% domestic reduction in greenhouse gas emissions by 2030 compared to 1990, to be fulfilled jointly, as set out in the conclusions by the European Council of October 2014."]
[{"$f":"Country85","v":"Israel"},105,683,9217,54.94,9.6,306,2019,435,2017,1.78,2017,43611,2020,33817,2020,38341,2020,13.52,2015,1.0900000000000001,2019,2.5,2019,2778,2015,6601,"2014",100,2019,null,null,-0.59,2020,54.21,2017,100,2016,100,2019,100,2019,103.36,2017,3.59,2015,512100,2015,3.72,2018,64226,2015,1.89,2015,"Carbon intensity reduction","0.26","2005","2030","Israel intends to achieve an economy-wide unconditional target of reducing its per capita greenhouse gas emissions to 7.7 tCO2e by 2030 which constitutes a reduction of 26% below the level in 2005 of 10.4 tCO2e per capita. An interim target of 8.8 tCO2e per capita is expected by 2025."]
[{"$f":"Country86","v":"Italy"},106,17247,59554,38.020000000000003,16.8,4124,2019,832,2017,191.3,2017,31676,2020,32902,2020,38992,2020,16.22,2015,1.99,2020,2.5,2019,2482,2015,5002,"2014",100,2019,20.100000000000001,2018,-0.14000000000000001,2020,49.73,2017,100,2016,100,2019,100,2019,30,2017,3.07,2015,4714562,2015,17.07,2018,281562,2015,38.68,2015,"Absolute emission reduction","At least 40%","1990","2030","The EU and its Member States are committed to a binding target of an at least 40% domestic reduction in greenhouse gas emissions by 2030 compared to 1990, to be fulfilled jointly, as set out in the conclusions by the European Council of October 2014."]
[{"$f":"Country87","v":"Jamaica"},109,1294,2961,44.99,12.6,31,2019,2051,2017,10.82,2017,4665,2020,4358,2020,8742,2020,8.2089580827290085,2014,8.68,2020,7.7,2019,981,2014,1056,"2014",99.38,2019,19.899999999999999,2012,5.23,2020,8.42,2017,90.5,2016,98.6,2019,100,2019,12.47,2017,5.21,2015,82139,2015,8.67,2018,4122,2015,10.26,2015,"Relative emission reduction","0.078","BAU","2030","Jamaica’s intended nationally determined contribution will mitigate the equivalent of 1.1 million metric tons of carbon dioxide per year by 2030 versus the BAU scenario. This is a reduction of 7.8% of emissions versus BAU."]
[{"$f":"Country88","v":"Japan"},110,10341,125836,55.24,7.2,2405,2019,1668,2017,430,2017,40113,2019,49000,2019,41380,2019,11.6,2015,1.24,2018,2.5,2019,3429,2015,7820,"2014",100,2019,null,null,-0.02,2020,66.83,2017,100,2016,100,2019,100,2019,37.340000000000003,2017,3.74,2015,10559778,2015,7.39,2018,1035266,2015,15.98,2015,"Absolute emission reduction","0.26","2013","2030","Japan’s INDC towards post-2020 GHG emission reductions is at the level of a reduction of 26.0% by fiscal year (FY) 2030 compared to FY 2013 (25.4% reduction compared to FY 2005) (approximately 1.042 billion t-CO2 eq. as 2030 emissions), ensuring consistency with its energy mix, set as a feasible reduction target by bottom-up calculation with concrete policies, measures and individual technologies taking into adequate consideration, inter alia, technological and cost constraints, and set based on the amount of domestic emission reductions and removals assumed to be obtained."]
[{"$f":"Country89","v":"Jordan"},112,876,10203,38.409999999999997,9.6,107,2019,111,2017,0.93700000000000006,2017,4283,2020,3242,2020,9817,2020,9.2859400425128538,2014,5.2,2020,9.5,2019,929,2014,1888,"2014",100,2019,15.7,2018,0.33,2020,53.13,2017,99.06,2016,100,2019,100,2019,100.08,2017,4.6399999999999997,2015,229181,2015,7.19,2018,19014,2015,0.97,2015,"Relative emission reduction","1.5% unconditional, 12.5% conditional","BAU","2030","Jordan nationally determines to reduce its greenhouse gas emissions by a bulk of 14 % until 2030. This contribution of GHGs reduction will be unconditionally fulfilled at, maximally, 1.5 % by the Country’s own means compared to a business as usual scenario level. However, Jordan, conditionally and subject to availability of international financial aid and support to means of implementation, commits to reduce its GHGs emissions by additional, at least, 12.5 % by 2030. The outcome targets above are accompanied by a diverse combination of numerous GHGs cutoriented actions in all involved sectors of emissions in addition to the adaptation actions in targeted sectors."]
[{"$f":"Country90","v":"Kazakhstan"},108,7939,18754,49.42,40.299999999999997,2205,2019,250,2017,108.4,2017,9056,2020,11075,2020,25337,2020,5.3188854538837056,2014,5.32,2020,2.5,2019,4435,2014,5600,"2014",100,2019,4.3,2018,6.75,2020,61.84,2017,95.34,2016,100,2019,100,2019,31.14,2017,7.92,2015,1586535,2015,1.86,2018,106468,2015,8.8699999999999992,2015,"Absolute emission reduction","15% unconditional -25% conditional","1990","2030","The Republic of Kazakhstan intends to achieve an economy-wide target of 15% [unconditional target] - 25% [conditional target] reduction in greenhouse gas emissions by 2030 compared to 1990."]
[{"$f":"Country91","v":"Kenya"},114,38718,53771,42.72,35.1,151,2019,630,2017,30.7,2017,1838,2020,1206,2020,4220,2020,5.3622813482885601,2014,35.15,2020,24.8,2019,513,2014,167,"2014",69.7,2019,36.1,2015,5.4,2020,80.209999999999994,2017,13.42,2016,61.69,2019,90.8,2019,33.24,2017,7.85,2015,655001,2015,72.27,2018,9651,2015,87.51,2015,"Relative emission reduction","0.3","BAU","2030","Kenya seeks to undertake an ambitious mitigation contribution towards the 2015 Agreement. Kenya therefore seeks to abate its GHG emissions by 30% by 2030 relative to the BAU scenario of 143 MtCO2eq; and in line with its sustainable development agenda. This is also subject to international support in the form of finance, investment, technology development and transfer, and capacity building."]
[{"$f":"Country92","v":"Kiribati"},83,53,119,19.79,8.1,null,null,null,null,null,null,1671,2020,1808,2020,2292,2020,null,null,28.62,2018,4.0999999999999996,2019,null,null,null,null,100,2019,null,null,-1.88,2019,null,null,5.52,2016,100,2019,88.61,2019,null,null,4.1399999999999997,2015,605,2015,41.12,2018,28,2015,7.27,2015,"Relative emission reduction","12.8% unconditional  - 49% conditional","BAU","2030","Kiribati is a LDC SIDS with limited resources that will nonetheless commit to reduce emissions by 13.7% by 2025 and 12.8% by 2030 compared to a BAU projection."]
[{"$f":"Country93","v":"Kuwait"},118,0,4271,55.56,14.6,18,2019,121,2017,0.02,2017,32373,2019,32702,2019,49854,2019,7.9082046836290711,2014,0.38,2019,2.5,2019,8957,2014,15213,"2014",100,2019,null,null,1.0900000000000001,2019,62.27,2017,100,2016,100,2019,100,2019,3850.5,2017,5.32,2015,616547,2015,0.03,2018,67918,2015,0,2015,"Policies and actions","INDC under analysis","N/A","2035","[Translated from Arabic] The State of Kuwait will operate under Business as Usual for the period of 2020-2035, and has not set specific reduction requirements. Instead, through projects and legislation, Kuwait will continue to build its economy in the context of sustainable development. Therefore Kuwait puts great importance on diversifying its sources of energy for production."]
[{"$f":"Country94","v":"Kyrgyzstan"},113,4162,6592,56.98,31.2,1023,2019,533,2017,23.62,2017,1174,2020,1000,2020,4707,2020,4.8918124016208848,2014,13.51,2020,7.2,2019,650,2014,1941,"2014",99.88,2019,20.100000000000001,2019,6.33,2020,92.69,2017,81.25,2016,99.99,2019,99.73,2019,50.04,2017,8.64,2015,139850,2015,23.21,2018,13030,2015,85.19,2015,"Relative emission reduction","11.49 to 13.75% unconditional - 29 to 30.89% conditional","BAU","2030","Kyrgyz Republic will reduce GHG emissions in the range of 11.49 - 13.75% below BAU in 2030. Additionally, under the international support Kyrgyz Republic could implement the mitigation measures to achieve total reduction in the range of 29.00 - 30.89% below BAU in 2030. Kyrgyz Republic will reduce GHG emissions in the range of 12.67 - 15.69% below BAU in 2050. Additionally, under the international support Kyrgyz Republic could implement the mitigation measures to achieve total reduction in the range of 35.06 - 36.75% below BAU in 2050."]
[{"$f":"Country95","v":"Lao People's Democratic Republic"},120,4635,7276,11.09,46.8,439,2019,1834,2017,333.5,2017,2630,2020,1836,2020,7806,2020,null,null,16.2,2020,5.3,2019,null,null,null,null,100,2019,18.3,2018,5.0999999999999996,2020,95.9,2017,5.62,2016,100,2019,99.85,2019,4.7699999999999996,2017,5.17,2015,122193,2015,41.88,2018,16501,2015,86.37,2015,"Policies and actions","30% share of renewable energy in energy consumption","N/A","2020-2025","• To increase forest cover to 70% of land area (i.e. to 16.58 million hectares) by 2020. Once the target is achieved, emission reductions will carry on beyond 2020. \n• To increase the share of renewable energy to 30% of energy consumption by 2025. \n• To make electricity available to 90% of households in rural area by the year 2020. This will offset the combustion of fossil fuels to produce power where there is no access to the electricity grid\n• Approximately total installed capacity of the hydropower plants will be 5,500 MW by 2020. In addition, 20,000 MW of additional hydroelectric capacity is planned for construction after 2020"]
[{"$f":"Country96","v":"Latvia"},119,603,1902,56.15,18.7,1,2019,667,2017,34.94,2017,17620,2020,16202,2020,29932,2020,10.185452619086441,2014,3.78,2020,2.5,2019,2177,2014,3507,"2014",100,2019,22.9,2018,0.22,2020,33.96,2017,95.28,2016,100,2019,100,2019,1.07,2017,3.91,2015,154231,2015,41.25,2018,5533,2015,50.17,2015,"Absolute emission reduction","At least 40%","1990","2030","The EU and its Member States are committed to a binding target of an at least 40% domestic reduction in greenhouse gas emissions by 2030 compared to 1990, to be fulfilled jointly, as set out in the conclusions by the European Council of October 2014."]
[{"$f":"Country97","v":"Lebanon"},121,756,6825,27.6,13.8,90,2019,661,2017,4.5030000000000001,2017,4891,2020,4637,2020,11649,2020,10.340006809384523,2014,2.5,2020,9.3000000000000007,2019,1337,2014,2893,"2014",100,2019,27.4,2012,84.86,2020,38.04,2017,null,2016,100,2019,100,2019,58.79,2017,4.18,2015,202341,2015,4.71,2018,18396,2015,2.6,2015,"Relative emission reduction","15% unconditional - 30% conditional","BAU","2030","• Unconditional target: A GHG emission reduction of 15% compared to the Business As-Usual (BAU) scenario in 2030. 15% of the power and heat demand in 2030 is generated by renewable energy sources. A 3% reduction in power demand through energy-efficiency measures in 2030 compared to the demand under the Business-As-Usual scenario.\"\n• Conditional target: A GHG emission reduction of 30% compared to the BAU scenario in 2030. 20% of the power and heat demand in 2030 is generated by renewable energy sources. A 10% reduction in power demand through energy-efficiency in 2030 compared to the demand under the BAU scenario."]
[{"$f":"Country98","v":"Lesotho"},122,1520,2142,60.35,27,3,2019,788,2017,3.0219999999999998,2017,861,2020,1088,2020,2280,2020,null,null,6.37,2020,23.5,2019,null,null,null,null,44.64,2019,49.7,2017,4.9800000000000004,2020,8.68,2017,35.61,2016,32.159999999999997,2019,75.819999999999993,2019,2.57,2017,9.7200000000000006,2015,55693,2015,38.42,2018,532,2015,100,2015,"Relative emission reduction","10% unconditional, 35% conditional","BAU","2030","Lesotho is committed to reduce unconditionally 10% of its GHG emissions by 2030 compared to a Business-as-usual (BAU) scenario. The conditional target is 35% by 2030."]
[{"$f":"Country99","v":"Liberia"},123,2423,5058,11.06,4.9000000000000004,3,2019,2391,2017,232,2017,583,2020,490,2020,1354,2020,null,null,42.6,2020,38.9,2019,null,null,null,null,27.65,2019,50.9,2016,23.56,2018,8.43,2017,0.71,2016,7.62,2019,46.42,2019,0.26,2017,25.99,2015,82193,2015,87.21,2018,310,2015,0,2015,"Relative emission reduction","10% by 2030, carbon neutrality by 2050","BAU","2030 and 2050","• Reducing GHGs by at least 10% by 2030\n• Improving energy efficiency by at least 20% by 2030\n• Raising share of renewable energy to at least 30% of electricity production and 10% of overall energy consumption by 2030\n• Replacing cooking stoves with low thermal efficiency (5-10%) with the higherefficiency (40%) stoves. \n• The long-term strategy of Liberia is to achieve carbon neutrality by 2050."]
[{"$f":"Country100","v":"Libya"},124,1327,6871,40.03,24.4,400,2019,56,2017,0.7,2017,3699,2020,5504,2020,10282,2020,5.6844041697976317,2014,null,null,null,null,2880,2014,1857,"2014",68.53,2019,null,null,null,null,83.19,2017,null,null,null,null,100,2019,817.14,2017,4.21,2015,322940,2015,2.63,2018,37713,2015,0,2015,"","INDC not submitted","","",""]
[{"$f":"Country101","v":"Lithuania"},126,893,2795,49.95,25.3,4,2019,656,2017,24.5,2017,19998,2020,18391,2020,36732,2020,10.999191567338396,2014,3.29,2020,2.5,2019,2387,2014,3821,"2014",100,2019,20.6,2018,1.2,2020,22.74,2017,100,2016,100,2019,100,2019,1.87,2017,3.86,2015,199780,2015,33.5,2018,4258,2015,39.409999999999997,2015,"Absolute emission reduction","At least 40%","1990","2030","The EU and its Member States are committed to a binding target of an at least 40% domestic reduction in greenhouse gas emissions by 2030 compared to 1990, to be fulfilled jointly, as set out in the conclusions by the European Council of October 2014."]
[{"$f":"Country102","v":"Luxembourg"},256,54,632,78.22,37,null,null,934,2017,3.5,2017,115874,2020,107458,2020,110261,2020,16.87,2015,0.22,2020,2.5,2019,6548,2015,13915,"2014",100,2019,17.5,2018,0.82,2020,0.88,2017,100,2016,100,2019,100,2019,3.78,2017,2.87,2015,148287,2015,16.03,2018,1331,2015,32.380000000000003,2015,"Absolute emission reduction","At least 40%","1990","2030","The EU and its Member States are committed to a binding target of an at least 40% domestic reduction in greenhouse gas emissions by 2030 compared to 1990, to be fulfilled jointly, as set out in the conclusions by the European Council of October 2014."]
[{"$f":"Country103","v":"Madagascar"},129,17021,27691,26.17,24.7,1086,2019,1513,2017,337,2017,495,2020,459,2020,1510,2020,null,null,24.12,2020,43.2,2019,null,null,null,null,26.91,2019,51.5,2016,4.2,2020,95.89,2017,0.91,2016,null,null,79.459999999999994,2019,11.34,2017,5.37,2015,131031,2015,81.569999999999993,2018,1712,2015,54.6,2015,"Relative emission reduction","0.32","BAU","2030","In 2030, Madagascar aims to reduce approximately 30 MtCO2 of its emissions of GHG, representing 14% of national emissions, compared to the BAU scenario, with projections based of GHG inventory from year 2000 to 2010. This reduction is additive to the absorptions increase of the LULUCF sector, which estimated at 61 MtCO2 in 2030. Total increase in GHG absorption is expected at 32%, compared to the BAU scenario."]
[{"$f":"Country104","v":"Malawi"},130,15796,19130,12.97,12,91,2019,1181,2017,17.28,2017,625,2020,527,2020,1487,2020,8.1530908674917875,2014,21.09,2020,17.3,2019,2968,2014,4596,"2014",11.2,2019,51.5,2016,8.6300000000000008,2020,85.94,2017,2.5,2016,4.09,2019,45.5,2019,17.5,2017,4.08,2015,60638,2015,73.22,2018,2103,2015,91.31,2015,"Policies and actions","N/A","N/A","2030","Estimates suggest that between 14,000 and 16,000 Gg of CO2 equivalent will be saved per year by 2030 if a robust low emission development path is adopted."]
[{"$f":"Country105","v":"Malaysia"},131,7392,32366,20.12,13.3,442,2019,2875,2017,580,2017,10402,2020,11637,2020,26435,2020,null,null,8.2100000000000009,2020,3.2,2019,null,null,null,null,100,2019,5.6,2018,-1.1399999999999999,2020,45.65,2017,96.3,2016,100,2019,100,2019,3.44,2017,4.68,2015,1911612,2015,5.31,2018,150123,2015,9.9600000000000009,2015,"Carbon intensity reduction","35% unconditional plus 10% conditional","2005","2030","Malaysia intends to reduce its greenhouse gas (GHG) emissions intensity of GDP by 45% by 2030 relative to the emissions intensity of GDP in 2005. This consist of 35% on an unconditional basis and a further 10% is condition upon receipt of climate finance, technology transfer and capacity building from developed countries."]
[{"$f":"Country106","v":"Maldives"},132,321,541,15.01,null,null,2019,1972,2017,0.03,2017,7456,2020,5663,2020,13049,2020,null,null,5.23,2019,null,null,null,null,null,null,100,2019,8.1999999999999993,2016,-1.37,2020,null,null,93.83,2016,100,2019,100,2019,15.67,2017,3.84,2015,15871,2015,1.1200000000000001,2018,391,2015,1.28,2015,"Relative emission reduction","10% unconditional - 24% conditional","BAU","2030","In accordance with Decisions 1/CP.19 and 1/CP.20, Maldives communicates that it intends to reduce unconditionally 10% of its Greenhouse Gases (below BAU) for the year 2030. The 10% reduction expressed above could be increased up to 24% in a conditional manner, in the context of sustainable development, supported and enabled by availability of financial resources, technology transfer and capacity building."]
[{"$f":"Country107","v":"Mali"},133,11359,20251,36.76,58.1,380,2019,282,2017,120,2017,859,2020,756,2020,2217,2020,17.872133002213875,2014,36.1,2020,10.4,2019,1782,2014,4925,"2014",48.02,2019,42.1,2019,0.44,2020,97.86,2017,0.96000000000000496,2016,15.26,2019,91.2,2019,8,2017,2.83,2015,77717,2015,76.61,2018,1712,2015,43.52,2015,"Relative emission reduction","29% reduction for agriculture, 31% for energy and 21% for forests","BAU","2030","[Translated] The reduction ambition level of GHG emissions compared to the reference scenario are 29% for agriculture, 31% for energy and 21% for forests and land use."]
[{"$f":"Country108","v":"Malta"},134,28,525,53.56,7.4,4,2019,560,2017,5.0500000000000003E-2,2017,27885,2020,26014,2020,39222,2020,null,null,0.65,2020,2.5,2019,null,null,null,null,100,2019,17.100000000000001,2018,0.64,2020,39.81,2017,100,2016,100,2019,100,2019,85.15,2017,1.81,2015,19161,2015,7.46,2018,1303,2015,7.67,2015,"Absolute emission reduction","At least 40%","1990","2030","The EU and its Member States are committed to a binding target of an at least 40% domestic reduction in greenhouse gas emissions by 2030 compared to 1990, to be fulfilled jointly, as set out in the conclusions by the European Council of October 2014."]
[{"$f":"Country109","v":"Marshall Islands"},127,13,59,null,null,null,null,null,null,null,null,4073,2019,3189,2019,4029,2019,null,null,20.149999999999999,2019,null,null,null,null,null,null,97.44,2019,31,2014,null,null,null,null,65.349999999999994,2016,100,2019,95.9,2019,null,null,11.35,2015,1663,2015,11.72,2018,86,2015,0.23,2015,"Absolute emission reduction","32% - indicative target of 45% by 2030","2010","2025","RMI commits to a quantified economy-wide target to reduce its emissions of greenhouse gases (GHG) to 32% below 2010 levels by 2025. RMI communicates, as an indicative target, its intention to reduce its emissions of GHGs to 45% below 2010 levels by 2030."]
[{"$f":"Country110","v":"Mauritania"},136,2077,4650,76.48,94.4,45,2019,92,2017,11.4,2017,1673,2020,1684,2020,4983,2020,16.425711205121729,2014,18.14,2020,9.1,2019,1111,2014,2183,"2014",45.81,2019,7.9,2012,2.39,2020,90.58,2017,46.56,2016,null,null,86.5,2019,13.25,2017,3.59,2015,41714,2015,25.13,2018,1002,2015,13.37,2015,"Relative emission reduction","22.3% (88% of which is conditional)","BAU","2030","[Translated] The Islamic Republic of Mauritania intends to contribute to the Paris Climate Agreement by reducing its greenhouse gas emissions by 22.3% in 2030 or by 4.2 million tons of carbon dioxide equivalent (MtCO2e) compared to projected emissions for the same year in a business as usual scenario which would increase from 6.6 MtCO2e in 2010 to 18.84 MtCO2e in 2030. Thus, for the period from 2020 to 2030 avoided accumulated emissions by the proposed mitigation measures are about 33.56MtCO2e."]
[{"$f":"Country111","v":"Mauritius"},137,750,1266,32.75,12.2,19,2019,2041,2017,2.7509999999999999,2017,8623,2020,9273,2020,19470,2020,11.3807332845901,2015,3.41,2020,6.2,2019,null,null,2090,"2014",100,2019,10.3,2017,2.58,2020,55.84,2017,93.34,2016,100,2019,100,2019,22.17,2017,2.5499999999999998,2015,33475,2015,9.1999999999999993,2018,2997,2015,22.72,2015,"Relative emission reduction","0.3","BAU","2030","The Republic of Mauritius imperatively needs international technical and financial support to enable it to abate its greenhouse gas emissions by 30%, by the year 2030, relative to the business as usual scenario of 7 million metric tonnes CO2 equivalent."]
[{"$f":"Country112","v":"Mexico"},138,24844,128933,48.05,32.6,6811,2019,758,2017,461.9,2017,8347,2020,9322,2020,17888,2020,12.53,2015,3.89,2020,7.2,2019,1537,2015,null,null,100,2019,41.9,2018,3.4,2020,76.040000000000006,2017,85.35,2016,100,2019,100,2019,32.950000000000003,2017,3.74,2015,4793390,2015,9.6300000000000008,2018,311138,2015,15.39,2015,"Relative emission reduction","0.25","BAU","2030","Mexico is committed to reduce unconditionally 25% of its Greenhouse Gases and Short Lived Climate Pollutants emissions (below BAU) for the year 2030. This commitment implies a reduction of 22% of GHG and a reduction of 51% of Black Carbon. This commitment implies a net emissions peak starting from 2026, decoupling GHG emissions from economic growth: emissions intensity per unit of GDP will reduce by around 40% from 2013 to 2030."]
[{"$f":"Country113","v":"Micronesia (Federated States of)"},145,89,115,23.66,18.8,null,null,null,null,null,null,3585,2019,2733,2019,3466,2019,5.1304561820140329,2014,22.51,2019,null,null,928,2014,1386,"2014",82.12,2019,9.6,2015,1.79,2018,null,null,11.97,2016,78.069999999999993,2019,95.81,2019,null,null,6.59,2015,1652,2015,1.75,2018,69,2015,1.6,2015,"Absolute emission reduction","28% unconditional, 35% conditional","2000","2025","The FSM commits to unconditionally reduce by 2025 a 28% its GHGs emissions below emissions in year 2000. Similarly, subject to the availability of additional financial, technical and capacity building support from the international community, the FSM could do by 2025 an additional reduction up to 35% below emissions in the 2000 base year."]
[{"$f":"Country114","v":"Mongolia"},141,1028,3278,85.95,308.89999999999998,87,2019,241,2017,34.799999999999997,2017,4007,2020,4054,2020,11471,2020,9.618342135819212,2014,12.06,2020,4.3,2019,1538,2014,4612,"2014",99.13,2019,28.4,2018,3.69,2020,54.26,2017,42.8,2016,97.22,2019,100,2019,3.4,2017,6.1,2015,130283,2015,3.36,2018,5513,2015,3.08,2015,"Relative emission reduction","0.14","BAU","2030","In its INDC, Mongolia has outlined a series of policies and measures that the country commits to implement up to 2030, in the energy, industry, agriculture and waste sectors. The expected mitigation impact of these policies and measures will be a 14% reduction in total national GHG emissions excluding Land use, land use change and forestry (LULUCF) by 2030, compared to the projected emissions under a business as usual scenario."]
[{"$f":"Country115","v":"Montenegro"},273,202,622,61.14,14.4,2,2019,null,null,null,null,7686,2020,7293,2020,18279,2020,12.990523634235894,2014,6.39,2019,2.5,2019,553,2014,901,"2014",100,2019,24.5,2018,-0.26,2020,1.06,2017,69.349999999999994,2016,100,2019,100,2019,null,null,4.45,2015,27697,2015,40.61,2018,3003,2015,49.65,2015,"Absolute emission reduction","0.3","1990","2030","Montenegro’s contribution to the international effort to avoid dangerous climate change is expressed [as a] 30% emission reduction by 2030 compared to the 1990 base year. The emission level of greenhouse gases for Montenegro from sectors covered by INDC was 5239 kilotons in 1990 and Montenegro pledges to reduce it at least by 1572 kilotons, to the level below or at 3667 kilotons. The reduction is to be achieved by general increase of energy efficiency, improvement of industrial technologies, increase of the share of renewables and modernization in the power sector."]
[{"$f":"Country116","v":"Morocco"},143,13461,36911,30.89,22.5,1946,2019,346,2017,29,2017,3009,2020,3127,2020,6916,2020,2.5253227293812128,2014,12.23,2020,4.2,2019,428,2014,463,"2014",99.6,2019,46.1,2014,0.71,2020,87.78,2017,96.75,2016,98.92,2019,100,2019,50.75,2017,3.15,2015,604023,2015,10.83,2018,30820,2015,14.31,2015,"Relative emission reduction","32% (13% unconditional, 19% conditional)","BAU","2030","Morocco’s commitment is to reduce its GHG emissions by 32% by 2030 compared to \"business as usual\" projected emissions. This commitment is contingent upon gaining access to new sources of finance and enhanced support, compared to that received over the past years, within the context of a new legally-binding agreement under the auspices of the UNFCCC. This target translates into a cumulative reduction of 401 Mt CO2eq over the period 2020­-2030."]
[{"$f":"Country117","v":"Mozambique"},144,19668,31255,15.38,7,118,2019,1032,2017,217.1,2017,449,2020,565,2020,1229,2020,12.827094399636133,2014,26.03,2019,31.2,2019,372,2014,217,"2014",29.62,2019,32.1,2015,2.78,2019,73.05,2017,3.69,2016,4.9400000000000004,2019,72.5,2019,1.75,2017,17.309999999999999,2015,435993,2015,65.94,2018,19913,2015,86.41,2015,"Policies and actions","N/A","N/A","2030","Implementation of Policies’ and Programmes’ actions: 1. NCCAMS (2013 to 2030); 2. Energy Strategy (being updated and to be approved by 2016); 3. Biofuel Policy and Strategy ; 4. New and Renewable Energy Development Strategy (2011 to 2025); 5. Conservation and Sustainable Use of the Energy from Biomass Energy Strategy (2014 to 2025); 6. Master Plan for Natural Gas (2014 to 2030); 7. Renewable Energy Feed-in Tariff Regulation (REFIT); 8. Mozambique’s Integrated Urban Solid Waste Management Strategy (2013 – 2025)\n9. National REDD+ Strategy (in preparation and to be approved in\n2016); 10. Renewable Energy Atlas for Mozambique; 11. Project to build and manage two solid waste landfills with the recovery of methane; and 12. Project of Urban Mobility in the Municipality of Maputo."]
[{"$f":"Country118","v":"Myanmar"},28,37466,54410,28.67,36,2295,2019,2091,2017,1168,2017,1400,2020,1478,2020,4544,2020,12.627636457266551,2014,22.82,2020,7.6,2019,762,2014,1585,"2014",68.36,2019,24.8,2017,8.83,2019,88.56,2017,18.399999999999999,2016,57.51,2019,92.67,2019,5.8,2017,3.12,2015,731366,2015,60.11,2018,15970,2015,58.85,2015,"Policies and actions","N/A","N/A","2030","Indicative goal - hydroelectric generation of 9.4 GW by 2030\nIndicative goal: Rural electrification through the use of at least 30% renewable sources as to generate electricity supplies.\nIndicative goal: To realise a 20% electricity saving potential by 2030 of the total forecast electricity consumption.\nIndicative goal: To distribute approximately 260,000 cook stoves between 2016 and 2031."]
[{"$f":"Country119","v":"Namibia"},147,1219,2541,68.53,82.5,8,2019,285,2017,39.909999999999997,2017,4211,2020,5313,2020,8894,2020,null,null,9.0299999999999994,2020,19.8,2019,null,null,null,null,55.2,2019,17.399999999999999,2015,2.21,2020,69.790000000000006,2017,42.2,2016,34.97,2019,74.599999999999994,2019,0.86,2017,3.26,2015,71287,2015,30.33,2018,1536,2015,97.79,2015,"Relative emission reduction","0.89","BAU","2030","Namibia aims at a reduction of about 89% of its GHG emissions at the 2030 time horizon compared to the BAU scenario. The projected GHG emissions to be avoided in 2030 is of the order of 20000 Gg CO2-eq inclusive of sequestration in the AFOLU sector and compared to the BAU scenario."]
[{"$f":"Country120","v":"Nauru"},148,0,11,18.72,6.4,null,null,null,null,null,null,10983,2019,9611,2019,13527,2019,5.4907920206393488,2014,4.2,2015,null,null,413,2014,139,"2014",100,2019,25.2,2010,null,null,null,null,91.33,2016,100,2019,100,2019,null,null,4.37,2015,432,2015,0.66,2018,25,2015,0.4,2015,"Policies and actions","N/A","N/A","2030","• Conditional Reduction based on identified mitigation actions:\nTo replace a substantial part of electricity generation with the existing diesel operated plants with a large scale grid connected solar photovoltaic (PV) system with an estimated cost of 42 million US$ which would assist in reducing the emissions from fossil fuels. \n• Unconditional Reduction:\nThe unconditional contribution includes a secured funding of US$5 million for implementation of a 0.6 MW solar PV system which is expected to assist in unconditional reduction of CO2 emissions\nmarginally."]
[{"$f":"Country121","v":"Nepal"},149,23142,29137,27.71,28.5,1369,2019,1500,2017,210.2,2017,1155,2020,833,2020,3800,2020,10.983671755848929,2015,23.13,2020,4.8,2019,null,null,6713,"2014",89.9,2019,null,null,5.05,2020,98.14,2017,27.62,2016,88.81,2019,94.2,2019,8.31,2017,7.42,2015,483590,2015,75.040000000000006,2018,3503,2015,100,2015,"Policies and actions","50% reduction in dependency to fossil fuels","N/A","2050","By 2050, Nepal will achieve 80% electrification through renewable energy sources having appropriate energy mix. Nepal will also reduce its dependency on fossil fuels by 50%."]
[{"$f":"Country122","v":"Netherlands"},150,1354,17441,73.33,47.9,522,2019,778,2017,91,2017,52304,2020,53081,2020,54210,2020,12.51,2015,1.59,2020,2.5,2019,4233,2015,null,null,100,2019,13.6,2019,1.27,2020,0.48,2017,100,2016,100,2019,100,2019,15.17,2017,3.94,2015,1823260,2015,7.38,2018,110070,2015,12.44,2015,"Absolute emission reduction","At least 40%","1990","2030","The EU and its Member States are committed to a binding target of an at least 40% domestic reduction in greenhouse gas emissions by 2030 compared to 1990, to be fulfilled jointly, as set out in the conclusions by the European Council of October 2014."]
[{"$f":"Country123","v":"New Zealand"},156,676,5084,89.41,279.8,735,2019,1732,2017,327,2017,41792,2020,37922,2020,42404,2020,9.27,2015,5.9,2017,2.5,2019,4432,2015,580,"2014",100,2019,24.9,2016,1.71,2020,61.66,2017,100,2016,100,2019,100,2019,8.0500000000000007,2017,5.42,2015,530287,2015,31.04,2018,44205,2015,80.08,2015,"Absolute emission reduction","0.3","2005","2030","New Zealand commits to reduce GHG emissions to 30% below 2005 levels by 2030. (This responsibility target corresponds to a reduction of 11% from 1990 levels.) \nNew Zealand’s INDC will remain provisional pending confirmation of the approaches to be taken in accounting for the land sector, and confirmation of access to carbon markets."]
[{"$f":"Country124","v":"Nicaragua"},157,2715,6625,47.2,52.2,199,2019,2280,2017,164.5,2017,1905,2020,1722,2020,5280,2020,6.000358809294454,2014,15.77,2020,19.3,2019,609,2014,51,"2014",88.21,2019,24.9,2016,3.68,2020,76.72,2017,52.3,2016,71.42,2019,100,2019,2.69,2017,5.43,2015,103807,2015,50.19,2018,4579,2015,50.05,2015,"","INDC not submitted","","",""]
[{"$f":"Country125","v":"Niger"},158,20182,24207,33.64,54,102,2019,151,2017,34.049999999999997,2017,565,2020,550,2020,1197,2020,7.4480799888998348,2014,37.81,2019,null,null,151,2014,144,"2014",18.77,2019,40.799999999999997,2018,-2.4900000000000002,2019,87.73,2017,1.91,2016,12.62,2019,49.9,2019,7.45,2017,6.95,2015,113794,2015,77.97,2018,531,2015,0.75,2015,"Relative emission reduction","3.5% unconditional, 34.6% conditional","BAU","2030","Unconditional reduction of 2.5% (BAU 2020) and of 3.5% (2030). Conditional Reduction of 25% (BAU 2020) and 34.6% (2030, or a reduction of 33,400 GgCO2Eq)."]
[{"$f":"Country126","v":"Nigeria"},159,99034,206140,8.86,13.9,331,2019,1150,2017,286.2,2017,2097,2020,2273,2020,4917,2020,9.7408451872323489,2014,24.14,2020,14.6,2019,763,2014,3497,"2014",55.4,2019,40.1,2018,11.4,2019,44.17,2017,4.91,2016,25.55,2019,83.9,2019,9.67,2017,5.68,2015,4987287,2015,79.650000000000006,2018,31426,2015,18.2,2015,"Relative emission reduction","25% unconditional and 45% conditional","BAU","2030","In the event an ambitious, comprehensive legally binding global agreement is reached at COP21 in Paris, Nigeria will make an unconditional contribution of 20 per cent below BAU that is consistent with the current development trends and government policy priorities. \nNigeria can make a significant additional contribution with international support, in the form of finance and investment, technology and capacity building. The combined policies and measures described below can deliver in a cost-effective manner direct development benefits to the country and reduce emissions 45 per cent below BAU."]
[{"$f":"Country127","v":"Niue"},160,1,2,12.43,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1263,2014,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,74,2015,0,2018,3,2015,0,2015,"Policies and actions","38% share of renewable energy unconditional, 80% conditional","N/A","2020 and 2025","In line with Niue’s resilience approach to reduce dependence on imported fossil fuels, Niue will achieve a 38% share of renewable energy of total electricity generation by 2020. Conditional upon additional international assistance, Niue could increase its contribution to an 80% share of renewable energy of total electricity generation, or to even higher levels, by 2025. This would require additional support for energy storage and renewable energy generation, and strengthened frameworks for project delivery."]
[{"$f":"Country128","v":"Norway"},162,916,5379,87.78,27.1,84,2019,1414,2017,393,2017,67294,2020,90885,2020,63586,2020,10.83,2015,1.85,2020,2.5,2019,5818,2015,23000,"2014",100,2019,12.7,2018,1.29,2020,31.39,2017,100,2016,100,2019,100,2019,2.0499999999999998,2017,3.75,2015,756220,2015,60.81,2018,143922,2015,97.71,2015,"Absolute emission reduction","At least 40%","1990","2030","Norway is committed to a target of an at least 40% reduction of greenhouse gas emissions by 2030 compared to 1990 levels. The emission reduction target will be developed into an emissions budget covering the period 2021-2030."]
[{"$f":"Country129","v":"Oman"},221,701,5107,38.380000000000003,18.100000000000001,101,2019,125,2017,1.4,2017,15343,2019,15082,2019,27295,2019,6.5722507113383877,2014,2.35,2019,8.1999999999999993,2019,6142,2014,6554,"2014",100,2019,null,null,-0.9,2020,85.84,2017,95.22,2016,100,2019,100,2019,116.71,2017,6.3,2015,753719,2015,0,2018,32758,2015,0,2015,"Relative emission reduction","0.02","N/A","2030","Oman will control its expected GHG emissions growth by 2% to be 88714 Gg during the period from 2020 - 2030 as depicted in the following chart."]
[{"$f":"Country130","v":"Pakistan"},165,138798,220892,54.33,31.4,19990,2019,494,2017,246.8,2017,1194,2020,1168,2020,4623,2020,9.4463250772567307,2014,22.69,2020,12.9,2019,484,2014,471,"2014",73.91,2019,24.3,2015,9.74,2020,93.98,2017,43.32,2016,58.66,2019,100,2019,122.69,2017,4.42,2015,3111795,2015,41.74,2018,110861,2015,31.43,2015,"Relative emission reduction","0.2","BAU","2030","Having considered the existing potential for mitigation in the country, Pakistan intends to reduce up to 20% of its 2030 projected GHG emissions subject to availability of international grants to\nmeet the total abatement cost for the indicated 20 percent  reduction amounting to about US$ 40 billion at current prices."]
[{"$f":"Country131","v":"Palau"},180,3,18,null,null,null,null,null,null,null,null,14908,2019,12083,2019,17573,2019,null,null,3.21,2018,null,null,null,null,null,null,100,2019,null,null,1.28,2017,null,null,86.9,2016,100,2019,100,2019,null,null,10.24,2015,2292,2015,0.05,2018,95,2015,0,2015,"Policies and actions","22% energy sector emissions reductions, 45% Renewable Energy, 35% Energy Efficiency","2005","2025","Indicative targets:\n₋ 22% energy sector emissions reductions below 2005 levels by \n2025\n₋ 45% Renewable Energy target by 2025\n₋ 35% Energy Efficiency target by 2025"]
[{"$f":"Country132","v":"Panama"},166,1363,4315,58.93,39,32,2019,2928,2017,139.30000000000001,2017,12269,2020,9611,2020,25382,2020,18.550120551350254,2014,2.74,2020,7.5,2019,1079,2014,2063,"2014",95.83,2019,22.1,2016,-1.55,2020,36.83,2017,89.01,2016,87.65,2019,99.67,2019,0.9,2017,2.17,2015,144680,2015,24.41,2018,10296,2015,65.33,2015,"Absolute emission reduction","0.3","2010","2050","[In Spanish] Teniendo en consideración que las emisiones de GEI históricas de la República de Panamá representa el 0.02% de las emisiones globales en comparación al año 2010, los esfuerzos nacionales reflejados en las NDC a la mitigación del cambio climático es justa y ambiciosa porque incrementará en un 30%, la capacidad instalada al 2050 proveniente de otros tipos de fuentes renovables en el sector energía y en el sector UT-CUTS, permitirá el incremento de la capacidad de absorción de carbono en un 10% con respecto al escenario de referencia al 2050; y si el país recibe apoyo internacional en medios de implementación, la capacidad de absorción podrá incrementar hasta un 80% con respecto al escenario de referencia al 2050."]
[{"$f":"Country133","v":"Papua New Guinea"},168,7753,8947,7.08,6.7,null,null,3142,2017,801,2017,2637,2020,2347,2020,4101,2020,null,null,16.97,2018,24.6,2019,null,null,null,null,63.46,2019,null,null,3.64,2019,0.26,2017,13.43,2016,60.45,2019,83.22,2019,0.13,2017,9.2799999999999994,2015,115716,2015,49.55,2018,4176,2015,34.53,2015,"Absolute emission reduction","Carbon neutrality","2010","2030","The main mitigation contribution for PNG would be in terms of an indicative replacement of fossil fuelled electricity generation with renewable energy sources. This could be accomplished at a rate determined by the availability of external funding. Due to the difficulty in accounting for actual emissions and the difficulty of large scale mitigation in the transport and land use sectors PNG will opt for a national target in the electricity sector in terms of becoming carbon free by a 2030 target date."]
[{"$f":"Country134","v":"Paraguay"},169,2697,7133,28.03,166.1,140,2019,1130,2017,387.8,2017,4950,2020,5163,2020,12335,2020,13.882039214339351,2014,10.82,2020,9.1999999999999993,2019,789,2014,1564,"2014",100,2019,23.5,2019,1.77,2020,78.62,2017,66.22,2016,100,2019,100,2019,1.84,2017,3.95,2015,204861,2015,59.23,2018,55744,2015,100,2015,"Relative emission reduction","10% unconditional and 20% conditional","BAU","2030","20% reduction relative to projected emissions by 2030. Unilateral Target: 10% reduction from projected emissions by 2030. Conditional Target: 10% reduction from projected emissions by 2030."]
[{"$f":"Country135","v":"Peru"},170,7156,32972,35.67,27.7,2600,2019,1738,2017,1880,2017,6127,2020,5685,2020,11261,2020,15.042323809492014,2014,6.75,2019,8.6999999999999993,2019,768,2014,1308,"2014",98.35,2019,20.2,2019,1.83,2020,81.349999999999994,2017,75.06,2016,92.45,2019,100,2019,3,2017,2.79,2015,738634,2015,27.9,2018,48251,2015,52.73,2015,"Relative emission reduction","20% unconditional, 30% conditional","BAU","2030","The Peruvian INDC envisages a reduction of emissions equivalent to 30% in relation to the Greenhouse Gas (GHG) emissions of the projected Business as Usual scenario (BaU) in 2030. The Peruvian State considers that a 20% reduction will be implemented through domestic investment and expenses, from public and private resources, and the remaining 10% is subject to the availability of international financing and the existence of favorable conditions."]
[{"$f":"Country136","v":"Philippines"},171,57631,109581,25.44,8.8000000000000007,1972,2019,2348,2017,479,2017,3299,2020,2980,2020,7954,2020,13.828806093653052,2014,10.18,2020,9.4,2019,476,2014,699,"2014",95.63,2019,16.7,2018,2.64,2020,73.28,2017,43.22,2016,93.55,2019,97.96,2019,28.36,2017,3.12,2015,1195481,2015,23.22,2018,82413,2015,25.41,2015,"Relative emission reduction","0.7","BAU","2030","The Philippines intends to undertake GHG (CO2e) emissions reduction of about 70% by 2030 relative to its BAU scenario of 2000-2030. Reduction of CO2e emissions will come from energy, transport, waste, forestry and industry sectors. The mitigation contribution is conditioned on the extent of financial resources, including technology development & transfer, and capacity building, that will be made available to the Philippines."]
[{"$f":"Country137","v":"Poland"},173,15164,37951,53.05,20.6,271,2019,600,2017,60.5,2017,15656,2020,16945,2020,32238,2020,11.16,2015,2.39,2020,2.5,2019,2490,2015,3972,"2014",100,2019,15.4,2018,3.37,2020,10.1,2017,100,2016,100,2019,100,2019,34.89,2017,4.1399999999999997,2015,2537766,2015,11.26,2018,164341,2015,13.8,2015,"Absolute emission reduction","At least 40%","1990","2030","The EU and its Member States are committed to a binding target of an at least 40% domestic reduction in greenhouse gas emissions by 2030 compared to 1990, to be fulfilled jointly, as set out in the conclusions by the European Council of October 2014."]
[{"$f":"Country138","v":"Portugal"},174,3472,10306,47.48,26.2,548,2019,854,2017,77.400000000000006,2017,22440,2020,22770,2020,32181,2020,14.6,2015,1.98,2020,2.5,2019,2132,2015,4663,"2014",100,2019,17.2,2018,-0.01,2020,78.430000000000007,2017,100,2016,100,2019,100,2019,18.38,2017,3.34,2015,625306,2015,27.61,2018,51281,2015,47.53,2015,"Absolute emission reduction","At least 40%","1990","2030","The EU and its Member States are committed to a binding target of an at least 40% domestic reduction in greenhouse gas emissions by 2030 compared to 1990, to be fulfilled jointly, as set out in the conclusions by the European Council of October 2014."]
[{"$f":"Country139","v":"Qatar"},179,22,2881,59.3,8.5,24,2019,74,2017,5.8000000000000003E-2,2017,50805,2020,59924,2020,85266,2020,6.5109215259392075,2014,0.28999999999999998,2020,null,null,18563,2014,15309,"2014",100,2019,null,null,-2.54,2020,31.96,2017,98.49,2016,100,2019,100,2019,432.41,2017,6.4,2015,578356,2015,0,2018,41499,2015,0,2015,"Policies and actions","N/A","N/A","2030","Economic diversification is crucial to Qatar in order to maintain a steady and robust economy. Qatar seeks to enhance the diversification of its economy away from hydrocarbon in consistent with decision 24/CP.18. Qatar has been contributing indirectly to the global efforts to mitigate climate change by exporting Liquefied Natural Gas as a clean energy."]
[{"$f":"Country140","v":"Republic of Korea"},117,9624,51781,44.75,12.4,707,2019,1274,2017,69.7,2017,31489,2020,28361,2020,42251,2020,7.17,2015,1.76,2020,2.5,2019,5413,2015,10497,"2014",100,2019,null,null,0.54,2020,58.93,2017,96.68,2016,100,2019,100,2019,85.22,2017,6.55,2015,5312175,2015,3.18,2018,549226,2015,1.89,2015,"Relative emission reduction","0.37","BAU","2030","Korea plans to reduce its greenhouse gas emissions by 37% from the business-as-usual (BAU, 850.6 MtCO2eq) level by 2030 across all economic sectors."]
[{"$f":"Country141","v":"Republic of Moldova"},146,1496,2618,28.79,16,222,2019,450,2017,12.27,2017,4551,2020,3514,2020,12325,2020,null,null,9.51,2020,null,null,null,null,null,null,100,2019,7.3,2018,3.77,2020,5,2017,92.19,2016,100,2019,100,2019,12.47,2017,8.39,2015,96136,2015,25.75,2018,6091,2015,5.37,2015,"Absolute emission reduction","64/67% unconditional, 78% conditional","1990","2030","The Republic of Moldova intends to achieve an economy-wide unconditional target of reducing its greenhouse gas emissions by 64-67 per cent below its 1990 level in 2030 and to make best efforts to reduce its emissions by 67 per cent. The reduction commitment expressed above could be increased up to 78 per cent below 1990 level conditional to, a global agreement addressing important topics including low-cost financial resources, technology transfer, and technical cooperation, accessible to all at a scale commensurate to the challenge of global climate change."]
[{"$f":"Country142","v":"Romania"},183,8834,19286,35.14,24,3152,2019,637,2017,212,2017,12896,2020,11665,2020,28833,2020,12.440964959427601,2014,3.84,2020,2.5,2019,1592,2014,2584,"2014",100,2019,23.8,2018,2.63,2020,22.01,2017,85.88,2016,100,2019,100,2019,6.34,2017,3.52,2015,893624,2015,23.05,2018,65922,2015,39.75,2015,"Absolute emission reduction","At least 40%","1990","2030","The EU and its Member States are committed to a binding target of an at least 40% domestic reduction in greenhouse gas emissions by 2030 compared to 1990, to be fulfilled jointly, as set out in the conclusions by the European Council of October 2014."]
[{"$f":"Country143","v":"Russian Federation"},185,36381,144104,53.67,17,4300,2019,460,2017,4525,2017,10127,2020,11787,2020,26456,2020,5.1961324512779035,2014,3.7,2020,2.5,2019,4943,2014,6603,"2014",100,2019,12.6,2018,3.38,2020,28.97,2017,98.25,2016,100,2019,100,2019,4.0999999999999996,2017,8.41,2015,15809140,2015,3.18,2018,1065623,2015,15.86,2015,"Absolute emission reduction","25-30%","1990","2030","Limiting anthropogenic greenhouse gases in Russia to 70-75% of 1990 levels by the year 2030 might be a long-term indicator, subject to the maximum possible account of absorbing capacity of forests."]
[{"$f":"Country144","v":"Rwanda"},184,10694,12952,9.2799999999999994,10.1,9,2019,1212,2017,13.3,2017,798,2020,849,2020,2099,2020,null,null,26.25,2020,35.200000000000003,2019,null,null,null,null,37.78,2019,38.200000000000003,2017,9.85,2020,55.46,2017,0.57000000000000395,2016,26.21,2019,93.06,2019,6.09,2017,4.88,2015,79545,2015,85.69,2018,524,2015,56.89,2015,"Policies and actions","N/A","BAU","2030","Emission reductions from projected emissions resulting from the deviation of BAU emissions for the year 2030 based on policies /actions conditional on availability of international support for finance, technology and capacity building. Estimated impact of policies/actions is underway and will be informed by the Third National Communication Report which will be completed by 2017."]
[{"$f":"Country145","v":"Saint Kitts and Nevis"},188,37,53,33.67,8,null,2019,1427,2017,2.4E-2,2017,17436,2020,15215,2020,23259,2020,null,null,1.3,2020,null,null,null,null,null,null,100,2019,null,null,-0.33,2019,1.28,2017,100,2016,100,2019,100,2019,50.83,2017,2.56,2015,1856,2015,1.65,2018,225,2015,4.57,2015,"Relative emission reduction","22% by 2025, 35% by 2030","BAU","2025 and 2030","St. Kitts and Nevis sustainability, as a nation, is dependent upon the collective and global response to aggressively reduce St. Kitts and Nevis Greenhouse gas emissions (GHG). In this regard the Federation of St. Kitts and Nevis proposes an emissions reduction target of 22% and 35% of St. Kitts and Nevis GHG emissions projected in the business as usual (BAU) scenario for 2025 and 2030 respectively."]
[{"$f":"Country146","v":"Saint Lucia"},189,149,184,45.29,13.2,3,2019,2301,2017,0.3,2017,9276,2020,7427,2020,12270,2020,null,null,2.59,2020,null,null,null,null,null,null,99.55,2019,25,2016,0.54,2019,70.86,2017,97.23,2016,100,2019,97.4,2019,14.3,2017,3.19,2015,3813,2015,10.220000000000001,2018,381,2015,0,2015,"Carbon intensity reduction","Emissions reductions targets: 2010: 643 GgCO2-eq\n2025:758 Gg CO2-eq\n2030: 816 GgCO2-eq","BAU","2010, 2025 and 2030","Under the mitigation plan, and actions proposed in this iNDC, Saint Lucia expects its per capita emissions (excluding figures for LULUCF) to decrease from 3.88 tCO2-eq (2010 estimate) to 3.29 tCO2-eq by 2030, compared to the per capita emissions of 4.25 tCO2-eq it would have increased to under the BAU scenario."]
[{"$f":"Country147","v":"Saint Vincent and the Grenadines"},191,52,111,12.09,7.8,null,2019,1583,2017,0.1,2017,7298,2020,6654,2020,12105,2020,null,null,6.67,2020,5.6,2019,null,null,null,null,100,2019,null,null,0.91,2019,null,null,95.98,2016,100,2019,98.95,2019,7.9,2017,2.93,2015,2428,2015,4.93,2018,166,2015,15.66,2015,"Relative emission reduction","0.22","BAU","2025","St. Vincent and the Grenadines intends to achieve an unconditional, economy-wide reduction in greenhouse gas (GHG) emissions of 22% compared to its business as usual (BAU) scenario by 2025."]
[{"$f":"Country148","v":"Samoa"},244,163,198,21.35,36,null,null,2880,2014,null,null,4067,2020,3738,2020,6296,2020,null,null,10.27,2020,4.5999999999999996,2019,null,null,null,null,99.2,2019,20.3,2013,-1.57,2020,null,null,32.29,2016,99.02,2019,100,2019,null,null,5.21,2015,4147,2015,36.619999999999997,2018,134,2015,30.35,2015,"Policies and actions","100% Renewable energy target","2007","2017 and 2025","Samoa is committed to reducing its GHG emissions from the Electricity sub sector through the adoption of a 100% Renewable energy target for electricity generation through to the year 2025. Samoa’s commitment is conditional on reaching the 100% renewable electricity generation target in 2017 and receiving international assistance to maintain this contribution through to 2025. Economy-wide emissions reduction conditional on external international assistance."]
[{"$f":"Country149","v":"San Marino"},192,1,34,null,null,null,null,null,null,null,null,47731,2019,50894,2019,60847,2019,null,null,0.02,2019,null,null,null,null,null,null,100,2019,null,null,1.05,2017,null,null,100,2016,100,2019,100,2019,null,null,null,null,0,2015,null,null,null,null,0,2015,"Absolute emission reduction","0.2","2005","2030","The Republic of San Marino, on the basis of the decision of the Government held on 28\nSeptember 2015, commits to reduce GHG emissions to 20% below 2005 levels by 2030."]
[{"$f":"Country150","v":"Sao Tome and Principe"},193,56,219,8.34,6.1,10,2019,3200,2017,2.1800000000000002,2017,2158,2020,1316,2020,4052,2020,null,null,13.99,2020,11.9,2019,null,null,null,null,75.180000000000007,2019,66.7,2017,7.86,2018,62.59,2017,16.809999999999999,2016,68.510000000000005,2019,77.58,2019,1.88,2017,4.66,2015,1955,2015,37.85,2018,70,2015,10.47,2015,"Relative emission reduction","0.24","BAU","2030","Sao Tome and Principe's mitigation contribution is a reduction of greenhouse gases by about 57 ktCO2eq below BAU by 2030, which approximately corresponds to a 24% national emission reduction below BAU by 2030."]
[{"$f":"Country151","v":"Saudi Arabia"},194,5470,34814,64.84,12.5,1620,2019,59,2017,2.4,2017,20110,2020,19390,2020,44328,2020,7.2014966290255202,2014,2.56,2020,3.9,2019,6937,2014,9444,"2014",100,2019,null,null,3.45,2020,82.23,2017,95.96,2016,100,2019,100,2019,883.33,2017,5.8,2015,4773764,2015,0.02,2018,338336,2015,0,2015,"Absolute emission reduction","130 million tons of CO2 emission avoidance","N/A","2030","The actions and plans outlined in this submission seek to achieve mitigation co-benefits ambitions of up to 130 million tons of CO2eq avoided by 2030 annually through contributions to economic diversification and adaptation. These ambitions are contingent on the Kingdom’s economy continuing to grow with an increasingly diversified economy and a robust contribution from oil export revenues to the national economy."]
[{"$f":"Country152","v":"Senegal"},195,8686,16744,28.95,26.3,120,2019,686,2017,38.97,2017,1488,2020,1500,2020,3300,2020,10.395447095641892,2014,15.82,2020,7.5,2019,272,2014,223,"2014",70.400000000000006,2019,46.7,2011,2.5499999999999998,2020,92.98,2017,31.65,2016,47.82,2019,95.2,2019,11.81,2017,4.9800000000000004,2015,114204,2015,36.619999999999997,2018,3955,2015,10.42,2015,"Relative emission reduction","5% unconditional and 21%","BAU","2030","[Translated] Under the unconditional scenario (INDC) emission reductions relative to baseline projections will be 3%, 4% and 5% in 2020, 2025 and 2030 respectively. Under the conditional scenario (INDC+), expected emission reductions will be 7%, 15% and 21% for the same years."]
[{"$f":"Country153","v":"Serbia"},272,3009,6908,39.29,19.5,63,2019,null,null,162.19999999999999,2017,7666,2020,7197,2020,18210,2020,7.0520728879694436,2014,6.5,2020,3.9,2019,1859,2014,4272,"2014",99.8,2019,23.2,2018,1.58,2020,12.29,2017,76.41,2016,100,2019,99.9,2019,6.06,2017,6.56,2015,330294,2015,21.14,2018,37595,2015,26.91,2015,"Absolute emission reduction","0.098","1990","2030","The Republic of Serbia intends to reduce GHG emissions by 9.8% by 2030 compared to 1990 levels."]
[{"$f":"Country154","v":"Seychelles"},196,42,98,63.58,3.2,null,2019,2330,2017,null,null,11425,2020,12599,2020,24362,2020,null,null,2.48,2020,null,null,null,null,null,null,100,2019,25.3,2018,1.81,2019,6.57,2017,90.36,2016,100,2019,100,2019,null,null,2.64,2015,4278,2015,1.22,2018,378,2015,2.38,2015,"Relative emission reduction","21.4% and 29%","BAU","2025 and 2030","The Republic of Seychelles will reduce its economy-wide absolute GHG emissions by 122.5 ktCO2e (21.4%) in 2025 and estimated 188 ktCO2e in 2030 (29.0%) relative to baseline emissions."]
[{"$f":"Country155","v":"Sierra Leone"},197,4553,7977,6.96,14,30,2019,2526,2017,160,2017,485,2020,468,2020,1648,2020,null,null,61.29,2020,26.2,2019,null,null,null,null,22.7,2019,56.8,2018,13.45,2020,21.54,2017,0.99000000000000199,2016,1.5,2019,51.4,2019,0.5,2017,7,2015,54797,2015,79.62,2018,205,2015,60.98,2015,"Peak of carbon emissions","Emissions will not exceed 7.58 MtCO2e","N/A","2035","This INDC intends to maintain the emission levels of Sierra Leone relatively Low (close to the world average of 7.58 MtCO2e) by 2035 or neutral by 2050 by reducing her carbon footprint and by following green growth pathways in all economic sectors.  This target will only be achieve by Sierra Leone with the availability of international support that will come in the form of finance, investment, technology development and transfer, and capacity building."]
[{"$f":"Country156","v":"Singapore"},200,0,5686,82.88,1.9,null,null,2497,2017,0.6,2017,59798,2020,56349,2020,93397,2020,15.795905043490892,2014,0.03,2020,null,null,5122,2014,8845,"2014",100,2019,null,null,-0.18,2020,4,2017,100,2016,100,2019,100,2019,82.02,2017,2.39,2015,439605,2015,0.73,2018,50415,2015,1.82,2015,"Carbon intensity reduction","0.36","2005","2030","Singapore communicates that it intends to reduce its Emissions Intensity by 36% from 2005 levels by 2030, and stabilise its emissions with the aim of peaking around 2030."]
[{"$f":"Country157","v":"Slovakia"},199,2524,5459,41.75,11,66,2019,824,2017,50.1,2017,19157,2020,19988,2020,30330,2020,9.5500000000000007,2015,2.1800000000000002,2020,4,2019,3004,2015,5137,"2014",100,2019,11.9,2018,1.94,2020,5.68,2017,96.58,2016,100,2019,100,2019,2.39,2017,4.4800000000000004,2015,376732,2015,12.42,2018,26632,2015,22.68,2015,"Absolute emission reduction","At least 40%","1990","2030","The EU and its Member States are committed to a binding target of an at least 40% domestic reduction in greenhouse gas emissions by 2030 compared to 1990, to be fulfilled jointly, as set out in the conclusions by the European Council of October 2014."]
[{"$f":"Country158","v":"Slovenia"},198,943,2100,67.150000000000006,19.5,7,2019,1162,2017,31.87,2017,25180,2020,25759,2020,36548,2020,10.65,2015,2.0299999999999998,2020,2.5,2019,3175,2015,6728,"2014",100,2019,12,2018,-0.05,2020,0.42,2017,96.17,2016,100,2019,100,2019,6.3,2017,4.58,2015,195249,2015,21.01,2018,14817,2015,29.39,2015,"Absolute emission reduction","At least 40%","1990","2030","The EU and its Member States are committed to a binding target of an at least 40% domestic reduction in greenhouse gas emissions by 2030 compared to 1990, to be fulfilled jointly, as set out in the conclusions by the European Council of October 2014."]
[{"$f":"Country159","v":"Solomon Islands"},25,517,687,5.83,3.9,null,null,3028,2017,44.7,2017,2258,2020,1632,2020,2483,2020,null,null,null,null,16.5,2019,null,null,null,null,70.260000000000005,2019,12.7,2013,2.96,2020,null,null,8.4499999999999993,2016,68.22,2019,76.64,2019,null,null,5.0199999999999996,2015,5078,2015,48.5,2018,97,2015,2.2599999999999998,2015,"Absolute emission reduction","12% by 2025 and 30% by 2030","2015","2025/2030","12% below 2015 level by 2025 and 30% below 2015 level by 2030\ncompared to a BaU projection. 27% reduction in GHG emissions by 2025; and 45% reduction in GHG emissions by 2030, compared to a BaU projection."]
[{"$f":"Country160","v":"Somalia"},201,8560,15893,89.63,94.2,200,2019,282,2017,14.7,2017,309,2020,null,null,830,2020,null,null,null,null,59.5,2019,null,null,null,null,36.03,2019,null,null,null,null,99.48,2017,2.34,2016,11.12,2019,65.81,2019,24.53,2017,null,null,104906,2015,94.88,2018,350,2015,0,2015,"Policies and actions","N/A","N/A","N/A","(1) sustainable land management and food security through enhanced productivity; (2) integrated water management; (3) reducing risk among of vulnerable populations from natural disasters; (4) the utilization of renewable energy resources such as solar, hydroelectric and wind. These sources were used in the past or are in use in Somalia and their potentials are well known; (5) the implementation of the UN Security Council Resolution 2036 (2012) that calls for international cooperation to ban illegal export of charcoal from Somalia and the various laws passed by the Somalia's authorities both federal and some states; (6) the introduction and advocating the use of more efficient kilns for charcoal making and efficient stoves for local use, in order to reduce trees filling for local use; (7) reforestation using regional nurseries and forest plantation using indigenous and introduced suitable tree species."]
[{"$f":"Country161","v":"South Africa"},202,19362,59309,49.34,27.7,1670,2019,495,2017,51.35,2017,5091,2020,6748,2020,11466,2020,4.5960454552304411,2014,2.4,2020,6.5,2019,2696,2014,4198,"2014",85,2019,55.5,2014,3.22,2020,58.77,2017,84.75,2016,79.23,2019,87.86,2019,62.06,2017,8.6999999999999993,2015,2942892,2015,10.34,2018,246736,2015,2.2599999999999998,2015,"Peak of carbon emissions","Emissions peak between 398 and 614 Mt CO2–eq","N/A","2025 and 2030","South Africa’s emissions by 2025 and 2030 will be in a range between 398 and 614 Mt CO2–eq, as defined in national policy."]
[{"$f":"Country162","v":"South Sudan"},277,8933,11194,60.23,77.099999999999994,19,2019,900,2017,49.5,2017,1119,2015,731,2015,null,null,31.878819051287554,2014,null,null,null,null,61,2014,40,"2014",6.72,2019,76.400000000000006,2016,29.68,2020,36.47,2017,0.63999999999999602,2016,5.13,2019,13.13,2019,4.2300000000000004,2017,1.0900000000000001,2015,17654,2015,33.18,2018,330,2015,0.61,2015,"Policies and actions","N/A","N/A","2030","South Sudan aims to undertake the policies and actions in following sectors: energy generation and use; Land Use and Land use Change; and Transport, to address its future emissions that are likely to result from growth strategies. These efforts are contingent on availability of technical assistance to develop the necessary regulations, policies, and standards as well as financial support for investing in low carbon options."]
[{"$f":"Country163","v":"Spain"},203,9087,47352,39.93,33.700000000000003,3923,2019,636,2017,111.5,2017,27057,2020,29600,2020,36215,2020,14.54,2015,3.16,2020,2.5,2019,2571,2015,5356,"2014",100,2019,20.7,2018,-0.32,2020,65.22,2017,100,2016,100,2019,100,2019,42.57,2017,3.33,2015,3159454,2015,17.39,2018,277792,2015,34.950000000000003,2015,"Absolute emission reduction","At least 40%","1990","2030","The EU and its Member States are committed to a binding target of an at least 40% domestic reduction in greenhouse gas emissions by 2030 compared to 1990, to be fulfilled jointly, as set out in the conclusions by the European Council of October 2014."]
[{"$f":"Country164","v":"Sri Lanka"},38,17817,21919,14.15,4.5,637,2019,1712,2017,52.8,2017,3682,2020,3846,2020,12537,2020,20.652909112112265,2014,8.36,2020,6.8,2019,516,2014,531,"2014",100,2019,4.0999999999999996,2016,6.15,2020,87.36,2017,26.33,2016,100,2019,100,2019,90.79,2017,2.06,2015,414836,2015,51.4,2018,13182,2015,48.48,2015,"Relative emission reduction","7% unconditional, 23% conditional","BAU","2030","Sri Lanka being a developing country, anticipates achieving development objectives while moving in a low carbon development pathway. It intends to reduce the GHG emissions against Business-As-Usual scenario unconditionally by 7% (Energy sector 4%, and 3% from other sectors) and conditionally 23% (Energy sector 16% and 7% from other sectors) by 2030."]
[{"$f":"Country165","v":"Sudan"},276,28391,43849,22.42,67.599999999999994,1855,2019,250,2017,37.799999999999997,2017,595,2020,1940,2020,4023,2020,10.54606307162951,2014,20.92,2020,12.3,2019,381,2014,190,"2014",53.83,2019,null,null,150.32,2020,96.19,2017,41.29,2016,39.03,2019,81.39,2019,118.66,2017,3.96,2015,436080,2015,61.41,2018,13047,2015,64.540000000000006,2015,"Policies and actions","N/A","BAU","2030","Sudan intends to pursue implementing low carbon development interventions in three sectors of energy, forestry and waste inline with Sudan’s national development priorities, objectives and circumstances. Sudan’s intended nationally determined contribution on mitigation as shown in Table (2) below aims at contribution to the global mitigation efforts in the post-2020 period, these contributions are planned to ensure deviation from the current development trajectory to a low carbon development."]
[{"$f":"Country166","v":"Suriname"},207,199,587,18.100000000000001,15.4,68,2019,2331,2017,99,2017,6491,2020,7068,2020,16130,2020,12.152984999985055,2014,8.66,2019,8.6999999999999993,2019,1259,2014,3632,"2014",97.89,2019,null,null,34.9,2020,70,2017,89.61,2016,95.61,2019,99.06,2019,3.95,2017,3.39,2015,25155,2015,19.22,2018,2258,2015,60.05,2015,"Policies and actions","Above 25% of renewable energies by 2025 plus forestry commitments","N/A","2025","• Suriname intends to maintain its high forest cover and low deforestation rate. As part of this approach, Suriname is keen to strengthen forest governance institutions and collaboration with the private sector and other stakeholders and to expand its program of awareness, monitoring and enforcement while also promoting research and a comprehensive forest inventory to provide detailed information on forests.\n• Through existing efforts and with funding for implementation, Suriname is keen to continue to transition its energy sector to ensure it stays above 25% renewable by 2025."]
[{"$f":"Country167","v":"Eswatini"},209,880,1160,21.55,30.7,50,2019,788,2017,4.51,2017,3415,2020,4690,2020,8393,2020,null,null,9.1,2020,11.6,2019,null,null,null,null,77.17,2019,58.9,2016,2.6,2019,94.19,2017,49.7,2016,72.94,2019,90.57,2019,77.56,2017,4.6100000000000003,2015,35583,2015,66.069999999999993,2018,496,2015,46.57,2015,"Policies and actions","200% increase of renewable energy share","2010","2030","Swaziland’s contribution is to double the share of renewable energy in the national energy mix by 2030, relative to 2010 levels."]
[{"$f":"Country168","v":"Sweden"},210,1245,10353,69.040000000000006,19.5,157,2019,624,2017,174,2017,51926,2020,56068,2020,50683,2020,9.98,2015,1.37,2020,2.5,2019,5103,2015,13480,"2014",100,2019,17.100000000000001,2018,0.5,2020,3.16,2017,100,2016,100,2019,100,2019,3.43,2017,4.2699999999999996,2015,1276696,2015,52.48,2018,161931,2015,63.26,2015,"Absolute emission reduction","At least 40%","1990","2030","The EU and its Member States are committed to a binding target of an at least 40% domestic reduction in greenhouse gas emissions by 2030 compared to 1990, to be fulfilled jointly, as set out in the conclusions by the European Council of October 2014."]
[{"$f":"Country169","v":"Switzerland"},211,2253,8637,76.95,24.2,52,2019,1537,2017,53.5,2017,86602,2020,80132,2020,68393,2020,22.98,2015,0.7,2020,2.5,2019,2960,2015,7520,"2014",100,2019,16,2018,-0.73,2020,9.23,2017,100,2016,100,2019,100,2019,6.61,2017,2.19,2015,772440,2015,24.2,2018,66097,2015,62.2,2015,"Absolute emission reduction","0.5","1990","2030","Switzerland commits to reduce its greenhouse gas emissions by 50 percent by 2030 compared to 1990 levels, corresponding to an average reduction of greenhouse gas emissions by 35 percent over the period 2021-2030. By 2025, a reduction of greenhouse gases by 35 percent compared to 1990 levels is anticipated. Carbon credits from international mechanisms will partly be used. The INDC is subject to approval by Parliament."]
[{"$f":"Country170","v":"Syrian Arab Republic"},212,7792,17501,41.26,16.2,1310,2019,252,2017,16.8,2017,null,null,null,null,null,null,null,null,null,null,null,null,563,2014,950,"2014",89.32,2019,null,null,null,null,87.53,2017,99.02,2016,76.37,2019,100,2019,124.36,2017,4.03,2015,249254,2015,0.94,2018,17881,2015,2.31,2015,"","INDC not submitted","","",""]
[{"$f":"Country171","v":"Tajikistan"},208,6914,9538,28.79,23.8,822,2019,691,2017,21.91,2017,859,2020,1147,2020,3658,2020,7.5922650111001158,2014,23.79,2020,null,null,335,2014,1480,"2014",99.64,2019,26.3,2019,6,2016,90.82,2017,80.41,2016,99.83,2019,99.11,2019,68.739999999999995,2017,5.01,2015,98814,2015,39.47,2018,17162,2015,98.47,2015,"Absolute emission reduction","80-90% unconditional - 65-75% conditional","1990","2030","• Unconditional target: A flexible target, not exceeding 80-90% of the 1990 level by 2030, which amounts to 1.7-2.2 tons in CO2 equivalent per capita, has been determined as the country’s contribution to anthropogenic greenhouse gas emission reductions. (...)\n• Conditional target: The potential for reducing greenhouse gas emissions in the Republic of Tajikistan to achieve a target of 65-75% of the 1990 level by 2030, which amounts to 1.2-1.7 tons in CO2 equivalent per capita."]
[{"$f":"Country172","v":"Thailand"},216,33902,69800,18.04,12.6,6415,2019,1622,2017,438.6,2017,7189,2020,6094,2020,17287,2020,7.5431300947624065,2014,8.64,2020,8.1999999999999993,2019,1970,2014,2540,"2014",99.9,2019,9.9,2018,-0.85,2020,90.37,2017,74.430000000000007,2016,99.9,2019,99.9,2019,23.01,2017,5.41,2015,3157979,2015,23.72,2018,177760,2015,8.5399999999999991,2015,"Relative emission reduction","20% unconditional and 25% conditional","BAU","2030","Thailand intends to reduce its greenhouse gas emissions by 20 percent from the projected business-as-usual (BAU) level by 2030. The level of contribution could increase up to 25 percent, subject to adequate and enhanced access to technology development and transfer, financial resources and capacity building support through a balanced and ambitious global agreement under the United Nations Framework Convention on Climate Change (UNFCCC)."]
[{"$f":"Country173","v":"North Macedonia"},154,865,2083,23.5,14.5,128,2019,619,2017,6.4,2017,5888,2020,5371,2020,15848,2020,null,null,9.09,2020,2.7,2019,null,null,null,null,100,2019,21.6,2018,1.2,2020,39.54,2017,65.63,2016,100,2019,100,2019,25.27,2017,4.2300000000000004,2015,77985,2015,20.87,2018,5646,2015,35.94,2015,"Relative emission reduction","30% unconditional, 36% conditional","BAU","2030","To reduce the CO2 emissions from fossil fuels combustion for 30%, that is, for 36% at a higher level of ambition, by 2030 compared to the business as usual (BAU) scenario."]
[{"$f":"Country174","v":"Timor-Leste"},176,906,1318,38.479999999999997,30.9,35,2019,1500,2017,8.2149999999999999,2017,1381,2020,876,2020,3181,2020,null,null,14.19,2019,22.6,2019,null,null,null,null,94.72,2019,41.8,2014,0.96,2019,91.38,2017,6.92,2016,92.35,2019,100,2019,28.27,2017,null,null,4862,2015,18.38,2018,350,2015,0,2015,"","INDC not submitted","","",""]
[{"$f":"Country175","v":"Togo"},217,4735,8279,13.24,15.2,8,2019,1168,2017,14.7,2017,915,2020,693,2020,2108,2020,3.0780126777864569,2014,18.78,2020,20.399999999999999,2019,457,2014,153,"2014",52.44,2019,55.1,2015,1.83,2020,34.08,2017,6.71,2016,23.63,2019,91.83,2019,3.39,2017,14.34,2015,92564,2015,75.08,2018,81,2015,75.31,2015,"Relative emission reduction","11.14% unconditional, 31.14% conditional","BAU","2030","Under the business-as-usual (BAU) scenario (accounting for the implementation of already programmed measures), the overall reduction rate in 2030 would be 11.14% compared with Togo’s total 2030 emissions based on the baseline year (2010). This reduction in emissions is attributed to the implementation of sectoral work. Targets: The conditional target for additional GHG emissions reduction, according to the most ambitious scenario, is estimated at 20% compared to the dynamic BAU. The conditional target for the total reduction would therefore be 31.14% in 2030, compared to the projections if no measures were to be applied."]
[{"$f":"Country176","v":"Tokelau (Associate Member)"},218,0,0,7.31,20.399999999999999,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,null,null,null,null,0,2019,null,null,null,null,0,2015,null,null,0,2015,0,2015,"","","","",""]
[{"$f":"Country177","v":"Tonga"},219,81,106,13.4,33.6,null,null,null,null,null,null,4903,2019,4355,2019,6378,2019,null,null,17.07,2018,null,null,null,null,null,null,98.4,2019,null,null,7.44,2017,null,null,59.17,2016,97.92,2019,100,2019,null,null,3.03,2015,1264,2015,1.71,2018,55,2015,5.91,2015,"Policies and actions","50% of renewable energy share","N/A","2020","Tonga’s contribution is 50% of electricity generation from renewable sources by 2020. In 2015 renewable energy accounts for approximately 9% of total electricity generation, with confirmed and funded investments taking this to 13% in 2016."]
[{"$f":"Country178","v":"Trinidad and Tobago"},220,655,1399,73.900000000000006,28.6,7,2019,2200,2017,3.84,2017,15384,2020,13708,2020,23728,2020,2.1583970368073269,2014,1.1599999999999999,2019,6.7,2019,14447,2014,7134,"2014",100,2019,null,null,0.6,2020,4.3600000000000003,2017,99.26,2016,100,2019,100,2019,20.329999999999998,2017,19.09,2015,171888,2015,0.45,2018,10300,2015,0,2015,"Relative emission reduction","0.15","BAU","2030","Trinidad and Tobago's aim is to achieve a reduction objective in overall emissions from the three sectors by 15% by 2030 from BAU, which in absolute terms is an equivalent of one hundred and three million tonnes (103,000,000) of CO2e. Trinidad and Tobago will commit to unconditionally reduce its public transportation emissions by 30% or one million, seven hundred thousand tonnes (1,700,000) CO2e compared to 2013 levels by December 31, 2030."]
[{"$f":"Country179","v":"Tunisia"},222,3597,11819,29.52,22.7,487,2019,207,2017,4.6150000000000002,2017,3320,2020,3984,2020,9728,2020,11.410499538842659,2014,11.74,2020,3,2019,944,2014,1444,"2014",100,2019,15.2,2015,5.63,2020,77.39,2017,99.1,2016,100,2019,100,2019,121.07,2017,3.78,2015,318321,2015,11.89,2018,19676,2015,2.84,2015,"Carbon intensity reduction","13% carbon intensity unconditional, 41% conditional","2010","2030","Tunisia proposes reducing its greenhouse gas emissions across all sectors (energy; industrial processes; agriculture, forestry and other land use; waste) in order to lower its carbon intensity by 41 percent in 2030, relative to the base year 2010…Tunisia, which has already made significant strides towards mitigation in its baseline, is looking to reduce its carbon intensity unconditionally and through its own efforts by 13 percent compared to 2010, i.e. by around 1/3 of its INDC. To achieve the rest of its objective, i.e. an additional drop in carbon intensity of 28 percent in 2030 compared to 2010, Tunisia is relying on the support of the international community for funding, capacity building and technology transfer."]
[{"$f":"Country180","v":"Turkey"},223,20153,84339,32.25,22.3,5215,2019,593,2017,211.6,2017,8538,2020,15226,2020,28385,2020,15.72,2015,6.6,2020,2.5,2019,1651,2015,2855,"2014",100,2019,14.4,2018,12.28,2020,84.88,2017,null,null,100,2019,100,2019,44.57,2017,2.95,2015,3629552,2015,11.87,2018,261783,2015,31.96,2015,"Relative emission reduction","0.21","BAU","2030","Up to 21 percent reduction in GHG emissions from the Business as Usual (BAU) level by 2030."]
[{"$f":"Country181","v":"Turkmenistan"},213,2864,6031,52.76,60.4,1995,2019,161,2017,24.77,2017,7612,2019,8005,2019,15538,2019,2.9288653077743403,2014,10.79,2019,4.0999999999999996,2019,4893,2014,2679,"2014",99.9,2019,null,null,null,null,94.3,2017,99.32,2016,99.9,2019,99.9,2019,143.56,2017,13.86,2015,753233,2015,0.06,2018,22534,2015,0,2015,"Absolute emission reduction","Stablisation of greenhouse gas emissions","2000","2030","Turkmenistan considering all acceptable development options and submission of INDC and taking into account national interests and capabilities of the country, as well as analyzing developed by countries INDCs choose the contribution Type 3 (GHG goal/target), which uses a target indicator attached to per unit of GDP. Specific greenhouse gas emissions per unit of GDP are the indicator that can reflect the country's potential to reduce greenhouse gas emissions. (...) If financial and technological support is provided by developed countries, Turkmenistan could achieve zero growth in emissions and even reduce them up to 2030."]
[{"$f":"Country182","v":"Tuvalu"},227,4,12,30.66,null,null,null,null,null,null,null,4143,2020,4066,2020,4411,2020,null,null,16.510000000000002,2015,null,null,null,null,null,null,100,2019,26.3,2010,null,null,null,null,50.42,2016,100,2019,100,2019,null,null,3.91,2015,88,2015,9.8800000000000008,2018,7,2015,28.17,2015,"Absolute emission reduction","60% economy wide, 100% from electricity generation sector","2010","2025","Tuvalu commits to reduction of emissions of green-house gases from the electricity generation (power) sector, by 100%, ie almost zero emissions by 2025. Tuvalu’s indicative quantified economy-wide target for a reduction in total emissions of GHGs from the entire energy sector to 60% below 2010 levels by 2025."]
[{"$f":"Country183","v":"Uganda"},226,34327,45741,26.83,24.4,11,2019,1180,2017,60.1,2017,817,2020,958,2020,2178,2020,null,null,24.03,2020,null,null,null,null,null,null,41.3,2019,21.4,2016,3.79,2020,40.659999999999997,2017,0.77000000000000401,2016,31.8,2019,70.8,2019,5.83,2017,9.64,2015,528879,2015,90.33,2018,3473,2015,92.95,2015,"Relative emission reduction","22% reduction of GHG in 2030 as compared to BAU","BAU","2030","For mitigation, Uganda is to focus on implementation of a series of policies and measures in the energy supply, forestry and wetland sectors. In the business-as-usual (BAU) scenario the estimated emissions in 2030 will be 77.3 Million tons of carbon dioxide equivalent per year (MtCO2eq/yr).The estimated potential cumulative impact of the policies and measures could result in approximately 22% reduction of national green house gas emissions in 2030 compared to business-as-usual. Uganda proposes to implement the identified policies and measures, and their impact may be higher or lower than these estimations illustrate."]
[{"$f":"Country184","v":"Ukraine"},230,13413,44135,31.13,15.5,2166,2019,565,2017,175.3,2017,3727,2020,3116,2020,12377,2020,3.354154133700932,2014,9.27,2020,2.5,2019,2334,2014,3419,"2014",100,2019,1.1000000000000001,2019,2.73,2020,34.92,2017,95.73,2016,100,2019,100,2019,11.19,2017,11.79,2015,1989251,2015,6.91,2018,162108,2015,4.38,2015,"Absolute emission reduction","0.4","1990","2030","Ukraine \"will not exceed 60% of 1990 GHG emisisons level in 2030.\""]
[{"$f":"Country185","v":"United Arab Emirates"},225,1281,9890,66.19,10.9,90,2019,78,2017,0.15,2017,43103,2019,41421,2019,67119,2019,8.2303068429621042,2014,0.73,2019,3.7,2019,7769,2014,11264,"2014",100,2019,null,null,-2.08,2020,82.84,2017,98.51,2016,100,2019,100,2019,1708,2017,5.08,2015,2093161,2015,0.26,2018,127366,2015,0.23,2015,"Policies and actions","Increase of clean energy to 24%","N/A","2021","The UAE will pursue a portfolio of actions, including an increase of clean energy to 24% of the total energy mix by 2021."]
[{"$f":"Country186","v":"United Kingdom"},229,10820,67215,69.42,23.8,208,2019,1220,2017,147,2017,40285,2020,39103,2020,41627,2020,16.22,2015,0.56999999999999995,2020,2.5,2019,2765,2015,5130,"2014",100,2019,18.600000000000001,2017,0.99,2020,14.05,2017,100,2016,100,2019,100,2019,14.35,2017,3.02,2015,4926228,2015,11.05,2018,336356,2015,24.84,2015,"Absolute emission reduction","At least 40%","1990","2030","The EU and its Member States are committed to a binding target of an at least 40% domestic reduction in greenhouse gas emissions by 2030 compared to 1990, to be fulfilled jointly, as set out in the conclusions by the European Council of October 2014."]
[{"$f":"Country187","v":"United Republic of Tanzania"},215,38692,59734,17.850000000000001,30.8,364,2019,1071,2017,96.27,2017,1076,2020,976,2020,2635,2020,4.9053945414019422,2014,26.74,2020,25.1,2019,475,2014,99,"2014",37.700000000000003,2019,26.4,2017,3.29,2020,89.35,2017,2.16,2016,19,2019,73.2,2019,12.96,2017,8.34,2015,938634,2015,83.66,2018,6295,2015,34.15,2015,"Relative emission reduction","10-20%","BAU","2030","Tanzania will reduce greenhouse gas emissions economy wide between 10-20% by 2030 relative to the BAU scenario of 138 - 153 Million tones of carbon dioxide equivalent (MtCO2e)- gross emissions, depending on the baseline efficiency improvements, consistent with its sustainable development agenda. The emissions reduction is subject to review after the first Biennial Update Report (BUR)."]
[{"$f":"Country188","v":"United States of America"},231,57119,329484,47.26,42.1,26916,2019,715,2017,3069,2017,63544,2020,53749,2020,60236,2020,8.6,2015,0.92,2019,2.5,2019,6804,2015,12984,"2014",100,2019,null,null,1.23,2020,39.659999999999997,2017,100,2016,100,2019,100,2019,28.16,2017,5.41,2015,58483062,2015,10.11,2018,4297048,2015,13.23,2015,"Absolute emission reduction","26-28%","2005","2025","The United States intends to achieve an economy-wide target of reducing its greenhouse gas emissions by 26%-28% below its 2005 level in 2025 and to make best efforts to reduce its emissions by 28%."]
[{"$f":"Country189","v":"Uruguay"},234,156,3474,59.22,278.39999999999998,263,2019,1300,2017,172.2,2017,15438,2020,13431,2020,21608,2020,14.385797483703046,2014,7.48,2020,2.5,2019,1378,2014,3068,"2014",99.9,2019,8.8000000000000007,2019,9.76,2020,86.61,2017,97.97,2016,100,2019,99.9,2019,9.7899999999999991,2017,3.09,2015,184451,2015,60.73,2018,13740,2015,88.56,2015,"Carbon intensity reduction","Uruguay expects to be a net CO2 sink by 2030.","N/A","2030","The mitigation component of Uruguay's INDC is \"sorted by gases\" and covers 9 quantitative contributions that can be met \"with domestic resources\" and \"with additional means of implementation\", all to be achieved by 2030."]
[{"$f":"Country190","v":"Uzbekistan"},235,16974,34232,36.950000000000003,30.4,4307,2019,206,2017,48.87,2017,1686,2020,2457,2020,6994,2020,3.5698764596413626,2013,26.07,2020,2.5,2019,1419,2013,1645,"2014",100,2019,14.1,2013,null,null,92.29,2017,92.1,2016,100,2019,100,2019,168.91,2017,9.99,2015,1169202,2015,1.49,2018,57280,2015,20.65,2015,"","INDC not submitted","","",""]
[{"$f":"Country191","v":"Vanuatu"},155,229,307,22.6,53.5,null,null,2000,2014,10,2017,2783,2020,2540,2020,2763,2020,null,null,26.86,2015,9.3000000000000007,2019,null,null,null,null,64.67,2019,12.7,2010,2.76,2019,null,null,12.57,2016,54.43,2019,94.75,2019,null,null,3.87,2015,2419,2015,30.78,2018,64,2015,21.26,2015,"Relative emission reduction","100% reduction for the power sector, 30% reduction for the energy sector as a whole","BAU","2030","The mitigation contribution for the Vanuatu INDC submission is a sector specific target of transitioning to close to 100% renewable energy in the electricity sector by 2030. This target would replace nearly all fossil fuel requirements for electricity generation in the country and be consistent with the National Energy Road Map (NERM) target of 65% renewable energy by 2020. This contribution would reduce emissions in the energy sector by 72Gg by 2030...The mitigation would thus reduce BAU emissions in the electricity sub-sector by 100% and in the energy sector as a whole by 30%...The target would be conditional, depending on funding commensurate with putting the transition in place being made available from external sources."]
[{"$f":"Country192","v":"Venezuela (Bolivarian Republic of)"},236,3333,28436,69.27,48.1,1055,2019,2044,2017,1325,2017,null,null,null,null,null,null,7.7887143311874034,2013,null,null,27.4,2019,2268,2013,2658,"2014",100,2019,33.1,2015,254.9,2016,73.849999999999994,2017,96.16,2016,100,2019,100,2019,7.54,2017,4.72,2015,1522151,2015,14.56,2018,117590,2015,63.7,2015,"Relative emission reduction","0.2","BAU","2030","[In Spanish] Sin embargo, como parte de las políticas establecidas en el plan de desarrollo económico y social del país, Venezuela se propone implementar un Plan Nacional de Mitigación en conjunto con un Plan Nacional de Adaptación. El Plan Nacional de Mitigación apuntará a la reducción de las emisiones del país en al menos un 20% para 2030 en relación al escenario inercial, entendido este como un escenario hipotético en el cual no se implementa el plan."]
[{"$f":"Country193","v":"Viet Nam"},237,60992,97339,24.11,15.7,4585,2019,1821,2017,884.1,2017,2786,2020,2123,2020,8200,2020,7.6713338960805153,2013,14.85,2020,6.7,2019,655,2013,1411,"2014",99.4,2019,6.7,2018,3.22,2020,94.78,2017,66.92,2016,99.05,2019,100,2019,18.13,2017,5.94,2015,2286349,2015,23.49,2018,153283,2015,36.729999999999997,2015,"Relative emission reduction","8% unconditional - 25% conditional","BAU","2030","With domestic resources, by 2030 Viet Nam will reduce GHG emissions by 8% compared to BAU, in which:\n- Emission intensity per unit of GDP will be reduced by 20% compared to the 2010 levels;\n- Forest cover will increase to the level of 45%.\nThe above-mentioned contribution could be increased up to 25% with international support."]
[{"$f":"Country194","v":"Yemen"},249,18520,29826,49.66,17.100000000000001,680,2019,167,2017,2.1,2017,824,2018,633,2018,null,null,"","",5,2018,45.4,2019,null,null,null,null,72.75,2019,null,null,null,null,90.74,2017,64.930000000000007,2016,60.63,2019,93.15,2019,169.76,2017,2.0499999999999998,2015,106887,2015,4.2699999999999996,2018,5326,2015,0,2015,"Relative emission reduction","1% unconditional, 13% conditional","BAU","2030","A 1 percent reduction in GHG emissions by 2030 compared to a business as usual (BAU) scenario. An additional 13 % reduction achievable under certain conditions, which would bring the total GHG reduction to 14 percent below BAU emission levels by 2030"]
[{"$f":"Country195","v":"Zambia"},251,10179,18384,34.799999999999997,18.600000000000001,156,2019,1020,2017,104.8,2017,1051,2020,1558,2020,3270,2020,5.6296464169300586,2013,2.73,2020,null,null,635,2013,707,"2014",43,2019,54.4,2015,15.73,2020,73.28,2017,16.43,2016,13.94,2019,79.88,2019,2.84,2017,7.34,2015,342875,2015,85.1,2018,13439,2015,96.99,2015,"Absolute emission reduction","25% unconditional, 47% conditional","2010","2030","The successful implementation of Zambia’s INDC will result in an estimated total emission reduction of 38,000 GgCO2eq which translates to 47% (internationally supported efforts) against 2010 as a base year. This emission reduction is conditional and subject to the availability of international support in form of finance, technology and capacity building."]
[{"$f":"Country196","v":"Zimbabwe"},181,10071,14863,39.770000000000003,28.2,187,2019,657,2017,20,2017,1128,2020,1059,2020,2745,2020,2.9474220449100494,2013,5.07,2018,null,null,750,2013,537,"2014",41.09,2019,38.299999999999997,2019,10.62,2018,82.96,2017,29.05,2016,20.05,2019,85.36,2019,31.35,2017,15.8,2015,396615,2015,81.36,2018,9709,2015,52.72,2015,"Carbon intensity reduction","33% carbon intensity reduction","BAU","2030","The Mitigation Contribution for Zimbabwe is given as 33% below the projected Business As Usual energy emissions per capita by 2030."]

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["Area (1000 Ha)",5110,{"$f":"Country2","v":"Afghanistan"},2,38010,7788,65286,1208,65223,222]
["Area (1000 Ha)",5110,{"$f":"Country3","v":"Albania"},3,1174,610,2875,789,2740,86]
["Area (1000 Ha)",5110,{"$f":"Country4","v":"Algeria"},4,41359,7505,238174,1939,238174,1012]
["Area (1000 Ha)",5110,{"$f":"Country5","v":"Andorra"},6,19,1,47,16,47,0]
["Area (1000 Ha)",5110,{"$f":"Country6","v":"Angola"},7,56952,4900,124670,67162,124670,315]
["Area (1000 Ha)",5110,{"$f":"Country7","v":"Antigua and Barbuda"},8,9,4,44,8,44,1]
["Area (1000 Ha)",5110,{"$f":"Country8","v":"Argentina"},9,108382,32633,278040,28681,273669,1068]
["Area (1000 Ha)",5110,{"$f":"Country9","v":"Armenia"},1,1677,445,2974,329,2847,60]
["Area (1000 Ha)",5110,{"$f":"Country10","v":"Australia"},10,362477,30573,774122,134005,769202,347]
["Area (1000 Ha)",5110,{"$f":"Country11","v":"Austria"},11,2651,1326,8388,3896,8252,67]
["Area (1000 Ha)",5110,{"$f":"Country12","v":"Azerbaijan"},52,4780,2096,8660,1120,8265,260]
["Area (1000 Ha)",5110,{"$f":"Country13","v":"Bahamas"},12,14,8,1388,510,1001,4]
["Area (1000 Ha)",5110,{"$f":"Country14","v":"Bahrain"},13,9,2,78,1,78,3]
["Area (1000 Ha)",5110,{"$f":"Country15","v":"Bangladesh"},16,9397,7967,14757,1883,13017,830]
["Area (1000 Ha)",5110,{"$f":"Country16","v":"Barbados"},14,10,7,43,6,43,1]
["Area (1000 Ha)",5110,{"$f":"Country17","v":"Belarus"},57,8387,5713,20760,8753,20297,107]
["Area (1000 Ha)",5110,{"$f":"Country18","v":"Belgium"},255,1356,857,3053,689,3028,24]
["Area (1000 Ha)",5110,{"$f":"Country19","v":"Belize"},23,172,90,2297,1288,2281,32]
["Area (1000 Ha)",5110,{"$f":"Country20","v":"Benin"},53,3950,2800,11476,3185,11276,600]
["Area (1000 Ha)",5110,{"$f":"Country21","v":"Bhutan"},18,513,94,3839,2723,3814,6]
["Area (1000 Ha)",5110,{"$f":"Country22","v":"Bolivia (Plurinational State of)"},19,37787,4540,109858,51034,108330,247]
["Area (1000 Ha)",5110,{"$f":"Country23","v":"Bosnia and Herzegovina"},80,2216,1015,5121,2188,5120,106]
["Area (1000 Ha)",5110,{"$f":"Country24","v":"Botswana"},20,25862,260,58173,15373,56673,2]
["Area (1000 Ha)",5110,{"$f":"Country25","v":"Brazil"},21,236879,55762,851577,497799,835814,7756]
["Area (1000 Ha)",5110,{"$f":"Country26","v":"Brunei Darussalam"},26,13,4,577,380,527,6]
["Area (1000 Ha)",5110,{"$f":"Country27","v":"Bulgaria"},27,5037,3476,11100,3880,10856,153]
["Area (1000 Ha)",5110,{"$f":"Country28","v":"Burkina Faso"},233,12100,6000,27422,6266,27360,100]
["Area (1000 Ha)",5110,{"$f":"Country29","v":"Burundi"},29,2033,1200,2783,280,2568,350]
["Area (1000 Ha)",5110,{"$f":"Country30","v":"Cabo Verde"},35,79,50,403,45,403,4]
["Area (1000 Ha)",5110,{"$f":"Country31","v":"Cambodia"},115,5566,3876,18104,8224,17652,190]
["Area (1000 Ha)",5110,{"$f":"Country32","v":"Cameroon"},32,9750,6200,47544,20396,47271,1550]
["Area (1000 Ha)",5110,{"$f":"Country33","v":"Canada"},33,58157,38648,987975,346965,896559,167]
["Area (1000 Ha)",5110,{"$f":"Country34","v":"Central African Republic"},37,5080,1800,62298,22333,62298,80]
["Area (1000 Ha)",5110,{"$f":"Country35","v":"Chad"},39,50238,5200,128400,4422,125920,38]
["Area (1000 Ha)",5110,{"$f":"Country36","v":"Chile"},40,15671,1168,75670,18088,74353,488]
["Area (1000 Ha)",5110,{"$f":"Country37","v":"China"},41,527714,118881,956291,218099,938821,16000]
["Area (1000 Ha)",5110,{"$f":"Country38","v":"Colombia"},44,49696,5971,114175,59341,110950,3901]
["Area (1000 Ha)",5110,{"$f":"Country39","v":"Comoros"},45,131,66,186,33,186,50]
["Area (1000 Ha)",5110,{"$f":"Country40","v":"Congo"},46,10628,550,34200,21961,34150,78]
["Area (1000 Ha)",5110,{"$f":"Country41","v":"Cook Islands"},47,2,1,24,16,24,1]
["Area (1000 Ha)",5110,{"$f":"Country42","v":"Costa Rica"},48,1776,255,5110,3019,5106,321]
["Area (1000 Ha)",5110,{"$f":"Country43","v":"Croatia"},98,1504,823,8807,1937,5596,74]
["Area (1000 Ha)",5110,{"$f":"Country44","v":"Cuba"},49,6401,3010,10988,3242,10380,653]
["Area (1000 Ha)",5110,{"$f":"Country45","v":"Cyprus"},50,125,96,925,173,924,27]
["Area (1000 Ha)",5110,{"$f":"Country46","v":"Czech Republic"},167,3524,2484,7887,2675,7721,47]
["Area (1000 Ha)",5110,{"$f":"Country47","v":"Côte d'Ivoire"},107,21200,3500,32246,2950,31800,4500]
["Area (1000 Ha)",5110,{"$f":"Country48","v":"Democratic People's Republic of Korea"},116,2630,2280,12054,6051,12041,300]
["Area (1000 Ha)",5110,{"$f":"Country49","v":"Democratic Republic of the Congo"},250,31500,11800,234486,127257,226705,1500]
["Area (1000 Ha)",5110,{"$f":"Country50","v":"Denmark"},54,2626,2393,4292,628,4000,26]
["Area (1000 Ha)",5110,{"$f":"Country51","v":"Djibouti"},72,1702,2,2320,6,2318,0]
["Area (1000 Ha)",5110,{"$f":"Country52","v":"Dominica"},55,25,6,75,48,75,17]
["Area (1000 Ha)",5110,{"$f":"Country53","v":"Dominican Republic"},56,2429,877,4867,2136,4831,355]
["Area (1000 Ha)",5110,{"$f":"Country54","v":"Ecuador"},58,5330,989,25637,12562,24836,1440]
["Area (1000 Ha)",5110,{"$f":"Country55","v":"Egypt"},59,3836,2911,100145,45,99545,925]
["Area (1000 Ha)",5110,{"$f":"Country56","v":"El Salvador"},60,1196,721,2104,588,2072,160]
["Area (1000 Ha)",5110,{"$f":"Country57","v":"Equatorial Guinea"},61,284,120,2805,2457,2805,60]
["Area (1000 Ha)",5110,{"$f":"Country58","v":"Eritrea"},178,7592,690,12177,1058,12118,2]
["Area (1000 Ha)",5110,{"$f":"Country59","v":"Estonia"},63,988,693,4534,2438,4347,4]
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["Area (1000 Ha)",5110,{"$f":"Country61","v":"Faroe Islands (Associate Member)"},64,3,3,140,0,140,0]
["Area (1000 Ha)",5110,{"$f":"Country62","v":"Fiji"},66,425,165,1827,1133,1827,85]
["Area (1000 Ha)",5110,{"$f":"Country63","v":"Finland"},67,2274,2245,33846,22409,30393,5]
["Area (1000 Ha)",5110,{"$f":"Country64","v":"France"},68,28621,18065,54909,17170,54756,1010]
["Area (1000 Ha)",5110,{"$f":"Country65","v":"Gabon"},74,2213,325,26767,23542,25767,170]
["Area (1000 Ha)",5110,{"$f":"Country66","v":"Gambia"},75,605,440,1130,248,1012,5]
["Area (1000 Ha)",5110,{"$f":"Country67","v":"Georgia"},73,2368,307,6970,2822,6949,121]
["Area (1000 Ha)",5110,{"$f":"Country68","v":"Germany"},79,16666,11714,35758,11419,34939,200]
["Area (1000 Ha)",5110,{"$f":"Country69","v":"Ghana"},81,12604,3316,23853,7978,22754,1905]
["Area (1000 Ha)",5110,{"$f":"Country70","v":"Greece"},84,6104,2137,13196,3902,12890,1085]
["Area (1000 Ha)",5110,{"$f":"Country71","v":"Grenada"},86,8,3,34,18,34,4]
["Area (1000 Ha)",5110,{"$f":"Country72","v":"Guatemala"},89,3856,862,10889,3539,10716,1183]
["Area (1000 Ha)",5110,{"$f":"Country73","v":"Guinea"},90,14500,3100,24586,6229,24572,700]
["Area (1000 Ha)",5110,{"$f":"Country74","v":"Guinea-Bissau"},175,815,300,3613,1988,2812,250]
["Area (1000 Ha)",5110,{"$f":"Country75","v":"Guyana"},91,1241,420,21497,18425,19685,40]
["Area (1000 Ha)",5110,{"$f":"Country76","v":"Haiti"},93,1840,1070,2775,350,2756,280]
["Area (1000 Ha)",5110,{"$f":"Country77","v":"Honduras"},95,3511,1020,11249,6380,11189,576]
["Area (1000 Ha)",5110,{"$f":"Country78","v":"Hungary"},97,5278,4317,9303,2054,9126,171]
["Area (1000 Ha)",5110,{"$f":"Country79","v":"Iceland"},99,1872,121,10300,51,10083,0]
["Area (1000 Ha)",5110,{"$f":"Country80","v":"India"},100,179578,156067,328726,71894,297319,13250]
["Area (1000 Ha)",5110,{"$f":"Country81","v":"Indonesia"},101,62300,26300,191686,92739,187752,25000]
["Area (1000 Ha)",5110,{"$f":"Country82","v":"Iran (Islamic Republic of)"},102,47013,15645,174515,10743,162876,1891]
["Area (1000 Ha)",5110,{"$f":"Country83","v":"Iraq"},103,9250,5000,43505,825,43413,250]
["Area (1000 Ha)",5110,{"$f":"Country84","v":"Ireland"},104,4524,443,7028,778,6889,1]
["Area (1000 Ha)",5110,{"$f":"Country85","v":"Israel"},105,638,378,2207,140,2164,100]
["Area (1000 Ha)",5110,{"$f":"Country86","v":"Italy"},106,13121,6914,30207,9512,29572,2415]
["Area (1000 Ha)",5110,{"$f":"Country87","v":"Jamaica"},109,444,120,1099,593,1083,95]
["Area (1000 Ha)",5110,{"$f":"Country88","v":"Japan"},110,4397,4124,37797,24935,36450,273]
["Area (1000 Ha)",5110,{"$f":"Country89","v":"Jordan"},112,1030,209,8932,98,8879,80]
["Area (1000 Ha)",5110,{"$f":"Country90","v":"Kazakhstan"},108,214453,29857,272490,3425,269970,132]
["Area (1000 Ha)",5110,{"$f":"Country91","v":"Kenya"},114,27630,5800,58037,3611,56914,530]
["Area (1000 Ha)",5110,{"$f":"Country92","v":"Kiribati"},83,34,2,81,1,81,32]
["Area (1000 Ha)",5110,{"$f":"Country93","v":"Kuwait"},118,150,8,1782,6,1782,6]
["Area (1000 Ha)",5110,{"$f":"Country94","v":"Kyrgyzstan"},113,10368,1287,19995,1297,19180,77]
["Area (1000 Ha)",5110,{"$f":"Country95","v":"Lao People's Democratic Republic"},120,2394,1550,23680,16630,23080,169]
["Area (1000 Ha)",5110,{"$f":"Country96","v":"Latvia"},119,1960,1319,6459,3407,6223,9]
["Area (1000 Ha)",5110,{"$f":"Country97","v":"Lebanon"},121,658,132,1045,143,1023,126]
["Area (1000 Ha)",5110,{"$f":"Country98","v":"Lesotho"},122,2142,138,3036,35,3036,4]
["Area (1000 Ha)",5110,{"$f":"Country99","v":"Liberia"},123,1954,500,11137,7648,9632,200]
["Area (1000 Ha)",5110,{"$f":"Country100","v":"Libya"},124,15350,1720,175954,217,175954,330]
["Area (1000 Ha)",5110,{"$f":"Country101","v":"Lithuania"},126,2975,2212,6529,2200,6262,35]
["Area (1000 Ha)",5110,{"$f":"Country102","v":"Luxembourg"},256,132,62,259,89,257,2]
["Area (1000 Ha)",5110,{"$f":"Country103","v":"Madagascar"},129,40895,3000,58730,12443,58180,600]
["Area (1000 Ha)",5110,{"$f":"Country104","v":"Malawi"},130,5650,3600,11848,2284,9428,200]
["Area (1000 Ha)",5110,{"$f":"Country105","v":"Malaysia"},131,8571,826,33024,19164,32855,7460]
["Area (1000 Ha)",5110,{"$f":"Country106","v":"Maldives"},132,6,4,30,1,30,2]
["Area (1000 Ha)",5110,{"$f":"Country107","v":"Mali"},133,41201,6411,124019,13296,122019,150]
["Area (1000 Ha)",5110,{"$f":"Country108","v":"Malta"},134,10,9,32,0,32,1]
["Area (1000 Ha)",5110,{"$f":"Country109","v":"Marshall Islands"},127,9,2,18,9,18,7]
["Area (1000 Ha)",5110,{"$f":"Country110","v":"Mauritania"},136,39661,400,103070,318,103070,11]
["Area (1000 Ha)",5110,{"$f":"Country111","v":"Mauritius"},137,86,75,204,39,203,4]
["Area (1000 Ha)",5110,{"$f":"Country112","v":"Mexico"},138,96106,19400,196438,65820,194395,2729]
["Area (1000 Ha)",5110,{"$f":"Country113","v":"Micronesia (Federated States of)"},145,22,2,70,64,70,17]
["Area (1000 Ha)",5110,{"$f":"Country114","v":"Mongolia"},141,113374,1329,156412,14174,155726,5]
["Area (1000 Ha)",5110,{"$f":"Country115","v":"Montenegro"},273,257,9,1381,827,1345,6]
["Area (1000 Ha)",5110,{"$f":"Country116","v":"Morocco"},143,29612,6899,44655,5732,44630,1713]
["Area (1000 Ha)",5110,{"$f":"Country117","v":"Mozambique"},144,41414,5650,79938,36966,78638,300]
["Area (1000 Ha)",5110,{"$f":"Country118","v":"Myanmar"},28,12798,10990,67659,28834,65270,1510]
["Area (1000 Ha)",5110,{"$f":"Country119","v":"Namibia"},147,38810,800,82429,6710,82329,10]
["Area (1000 Ha)",5110,{"$f":"Country120","v":"Nauru"},148,0,0,2,0,2,0]
["Area (1000 Ha)",5110,{"$f":"Country121","v":"Nepal"},149,4121,2114,14718,5962,14335,212]
["Area (1000 Ha)",5110,{"$f":"Country122","v":"Netherlands"},150,1817,1011,4154,369,3367,38]
["Area (1000 Ha)",5110,{"$f":"Country123","v":"New Zealand"},156,10345,546,26771,9866,26331,74]
["Area (1000 Ha)",5110,{"$f":"Country124","v":"Nicaragua"},157,5065,1504,13037,3508,12034,286]
["Area (1000 Ha)",5110,{"$f":"Country125","v":"Niger"},158,46600,17700,126700,1092,126670,118]
["Area (1000 Ha)",5110,{"$f":"Country126","v":"Nigeria"},159,69123,34000,92377,21790,91077,6500]
["Area (1000 Ha)",5110,{"$f":"Country127","v":"Niue"},160,5,1,26,19,26,3]
["Area (1000 Ha)",5110,{"$f":"Country128","v":"Norway"},162,982,800,62522,12172,36509,3]
["Area (1000 Ha)",5110,{"$f":"Country129","v":"Oman"},221,1461,78,30950,3,30950,33]
["Area (1000 Ha)",5110,{"$f":"Country130","v":"Pakistan"},165,36300,30507,79610,3767,77088,793]
["Area (1000 Ha)",5110,{"$f":"Country131","v":"Palau"},180,4,0,46,41,46,2]
["Area (1000 Ha)",5110,{"$f":"Country132","v":"Panama"},166,2259,565,7532,4225,7418,185]
["Area (1000 Ha)",5110,{"$f":"Country133","v":"Papua New Guinea"},168,1190,300,46284,35889,45286,700]
["Area (1000 Ha)",5110,{"$f":"Country134","v":"Paraguay"},169,21824,4734,40675,16382,39730,90]
["Area (1000 Ha)",5110,{"$f":"Country135","v":"Peru"},170,24478,4299,128522,72503,128000,1379]
["Area (1000 Ha)",5110,{"$f":"Country136","v":"Philippines"},171,12440,5590,30000,7154,29817,5350]
["Area (1000 Ha)",5110,{"$f":"Country137","v":"Poland"},173,14523,11055,31269,9471,30611,340]
["Area (1000 Ha)",5110,{"$f":"Country138","v":"Portugal"},174,3574,919,9223,3312,9161,779]
["Area (1000 Ha)",5110,{"$f":"Country139","v":"Qatar"},179,67,14,1149,0,1149,3]
["Area (1000 Ha)",5110,{"$f":"Country140","v":"Republic of Korea"},117,1637,1364,10040,6297,9760,217]
["Area (1000 Ha)",5110,{"$f":"Country141","v":"Republic of Moldova"},146,2262,1690,3385,387,3289,232]
["Area (1000 Ha)",5110,{"$f":"Country142","v":"Romania"},183,13826,8966,23840,6929,23008,412]
["Area (1000 Ha)",5110,{"$f":"Country143","v":"Russian Federation"},185,215494,121649,1709825,815312,1637687,1793]
["Area (1000 Ha)",5110,{"$f":"Country144","v":"Rwanda"},184,1812,1152,2634,275,2467,250]
["Area (1000 Ha)",5110,{"$f":"Country145","v":"Saint Kitts and Nevis"},188,6,5,26,11,26,0]
["Area (1000 Ha)",5110,{"$f":"Country146","v":"Saint Lucia"},189,11,3,62,21,61,7]
["Area (1000 Ha)",5110,{"$f":"Country147","v":"Saint Vincent and the Grenadines"},191,7,2,39,29,39,3]
["Area (1000 Ha)",5110,{"$f":"Country148","v":"Samoa"},244,76,33,284,162,283,31]
["Area (1000 Ha)",5110,{"$f":"Country149","v":"San Marino"},192,2,2,6,1,6,0]
["Area (1000 Ha)",5110,{"$f":"Country150","v":"Sao Tome and Principe"},193,44,4,96,53,96,39]
["Area (1000 Ha)",5110,{"$f":"Country151","v":"Saudi Arabia"},194,173598,3441,214969,977,214969,157]
["Area (1000 Ha)",5110,{"$f":"Country152","v":"Senegal"},195,8878,3200,19671,8108,19253,78]
["Area (1000 Ha)",5110,{"$f":"Country153","v":"Serbia"},272,3482,2579,8836,2722,8746,206]
["Area (1000 Ha)",5110,{"$f":"Country154","v":"Seychelles"},196,2,0,46,34,46,1]
["Area (1000 Ha)",5110,{"$f":"Country155","v":"Sierra Leone"},197,3949,1584,7230,2555,7218,165]
["Area (1000 Ha)",5110,{"$f":"Country156","v":"Singapore"},200,1,1,73,16,72,0]
["Area (1000 Ha)",5110,{"$f":"Country157","v":"Slovakia"},199,1885,1349,4903,1926,4808,18]
["Area (1000 Ha)",5110,{"$f":"Country158","v":"Slovenia"},198,612,181,2048,1240,2014,53]
["Area (1000 Ha)",5110,{"$f":"Country159","v":"Solomon Islands"},25,117,20,2890,2524,2799,89]
["Area (1000 Ha)",5110,{"$f":"Country160","v":"Somalia"},201,44125,1100,63766,6057,62734,25]
["Area (1000 Ha)",5110,{"$f":"Country161","v":"South Africa"},202,96341,12000,121909,17086,121309,413]
["Area (1000 Ha)",5110,{"$f":"Country162","v":"South Sudan"},277,28251,0,64688,7157,63193,0]
["Area (1000 Ha)",5110,{"$f":"Country163","v":"Spain"},203,26207,11812,50595,18568,49957,4947]
["Area (1000 Ha)",5110,{"$f":"Country164","v":"Sri Lanka"},38,2812,1372,6561,2116,6186,1000]
["Area (1000 Ha)",5110,{"$f":"Country165","v":"Sudan"},276,68186,19823,185411,18532,184923,168]
["Area (1000 Ha)",5110,{"$f":"Country166","v":"Suriname"},207,84,62,16382,15209,15600,6]
["Area (1000 Ha)",5110,{"$f":"Country167","v":"Eswatini"},209,1222,175,1736,496,1720,15]
["Area (1000 Ha)",5110,{"$f":"Country168","v":"Sweden"},210,3005,2540,52886,27980,40728,3]
["Area (1000 Ha)",5110,{"$f":"Country169","v":"Switzerland"},211,1507,399,4129,1266,3952,25]
["Area (1000 Ha)",5110,{"$f":"Country170","v":"Syrian Arab Republic"},212,13921,4662,18518,522,18363,1071]
["Area (1000 Ha)",5110,{"$f":"Country171","v":"Tajikistan"},208,4728,700,14138,423,13879,153]
["Area (1000 Ha)",5110,{"$f":"Country172","v":"Thailand"},216,22110,16810,51312,19909,51089,4500]
["Area (1000 Ha)",5110,{"$f":"Country173","v":"North Macedonia"},154,1265,419,2571,1001,2522,41]
["Area (1000 Ha)",5110,{"$f":"Country174","v":"Timor-Leste"},176,380,155,1487,923,1487,75]
["Area (1000 Ha)",5110,{"$f":"Country175","v":"Togo"},217,0,0,0,0,0,170]
["Area (1000 Ha)",5110,{"$f":"Country176","v":"Tokelau (Associate Member)"},218,1,0,1,0,1,1]
["Area (1000 Ha)",5110,{"$f":"Country177","v":"Tonga"},219,35,20,75,9,72,11]
["Area (1000 Ha)",5110,{"$f":"Country178","v":"Trinidad and Tobago"},220,54,25,513,229,513,22]
["Area (1000 Ha)",5110,{"$f":"Country179","v":"Tunisia"},222,9743,2607,16361,701,15536,2386]
["Area (1000 Ha)",5110,{"$f":"Country180","v":"Turkey"},223,37716,19580,78535,22064,76963,3519]
["Area (1000 Ha)",5110,{"$f":"Country181","v":"Turkmenistan"},213,33838,1940,48810,4127,46993,60]
["Area (1000 Ha)",5110,{"$f":"Country182","v":"Tuvalu"},227,2,0,3,1,3,2]
["Area (1000 Ha)",5110,{"$f":"Country183","v":"Uganda"},226,14415,6900,24155,2379,20052,2200]
["Area (1000 Ha)",5110,{"$f":"Country184","v":"Ukraine"},230,41311,32924,60355,9684,57940,853]
["Area (1000 Ha)",5110,{"$f":"Country185","v":"United Arab Emirates"},225,390,50,9865,317,7102,41]
["Area (1000 Ha)",5110,{"$f":"Country186","v":"United Kingdom"},229,17521,6086,24361,3182,24193,46]
["Area (1000 Ha)",5110,{"$f":"Country187","v":"United Republic of Tanzania"},215,39650,13500,94730,46214,88580,2150]
["Area (1000 Ha)",5110,{"$f":"Country188","v":"United States of America"},231,405810,157737,983151,309795,914742,2700]
["Area (1000 Ha)",5110,{"$f":"Country189","v":"Uruguay"},234,14047,2008,17622,2010,17502,39]
["Area (1000 Ha)",5110,{"$f":"Country190","v":"Uzbekistan"},235,25555,4034,44892,3664,44056,404]
["Area (1000 Ha)",5110,{"$f":"Country191","v":"Vanuatu"},155,187,20,1219,442,1219,125]
["Area (1000 Ha)",5110,{"$f":"Country192","v":"Venezuela (Bolivarian Republic of)"},236,21500,2600,91205,46272,88205,700]
["Area (1000 Ha)",5110,{"$f":"Country193","v":"Viet Nam"},237,12388,6784,33131,14567,31343,4962]
["Area (1000 Ha)",5110,{"$f":"Country194","v":"Yemen"},249,23452,1158,52797,549,52797,294]
["Area (1000 Ha)",5110,{"$f":"Country195","v":"Zambia"},251,23836,3800,75261,45002,74339,36]
["Area (1000 Ha)",5110,{"$f":"Country196","v":"Zimbabwe"},181,16200,4000,39076,17491,38685,100]

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[null,"Selection",{"$f":"LANG_DATABASE!C2","v":1}]
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["FR","French",2]
["ES","Spanish",3]
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[null,"English","French","Spanish"]
[1,1,2,3,null,"NAME"]
[2,"Select a country","Sélectionner un pays","Seleccione un país",{"$f":"HLOOKUP($C$2,$B$16:$D17,$A17,FALSE)","v":"Select a country"},{"$f":"\"Country\"&$A16","v":"Country1"},"for databases"]
[3,"Afghanistan","Afghanistan","Afganistán",{"$f":"HLOOKUP($C$2,$B$16:$D18,$A18,FALSE)","v":"Afghanistan"},{"$f":"\"Country\"&$A17","v":"Country2"},"for databases"]
[4,"Albania","Albanie","Albania",{"$f":"HLOOKUP($C$2,$B$16:$D19,$A19,FALSE)","v":"Albania"},{"$f":"\"Country\"&$A18","v":"Country3"},"for databases"]
[5,"Algeria","Algérie","Argelia",{"$f":"HLOOKUP($C$2,$B$16:$D20,$A20,FALSE)","v":"Algeria"},{"$f":"\"Country\"&$A19","v":"Country4"},"for databases"]
[6,"Andorra","Andorre","Andorra",{"$f":"HLOOKUP($C$2,$B$16:$D21,$A21,FALSE)","v":"Andorra"},"Country5","for databases"]
[7,"Angola","Angola","Angola",{"$f":"HLOOKUP($C$2,$B$16:$D22,$A22,FALSE)","v":"Angola"},"Country6","for databases"]
[8,"Antigua and Barbuda","Antigua-et-Barbuda","Antigua y Barbuda",{"$f":"HLOOKUP($C$2,$B$16:$D23,$A23,FALSE)","v":"Antigua and Barbuda"},"Country7","for databases"]
[9,"Argentina","Argentine","Argentina",{"$f":"HLOOKUP($C$2,$B$16:$D24,$A24,FALSE)","v":"Argentina"},"Country8","for databases"]
[10,"Armenia","Arménie","Armenia",{"$f":"HLOOKUP($C$2,$B$16:$D25,$A25,FALSE)","v":"Armenia"},"Country9","for databases"]
[11,"Australia","Australie","Australia",{"$f":"HLOOKUP($C$2,$B$16:$D26,$A26,FALSE)","v":"Australia"},"Country10","for databases"]
[12,"Austria","Autriche","Austria",{"$f":"HLOOKUP($C$2,$B$16:$D27,$A27,FALSE)","v":"Austria"},"Country11","for databases"]
[13,"Azerbaijan","Azerbaïdjan","Azerbaiyán",{"$f":"HLOOKUP($C$2,$B$16:$D28,$A28,FALSE)","v":"Azerbaijan"},"Country12","for databases"]
[14,"Bahamas","Bahamas","Bahamas",{"$f":"HLOOKUP($C$2,$B$16:$D29,$A29,FALSE)","v":"Bahamas"},"Country13","for databases"]
[15,"Bahrain","Bahreïn","Bahrein",{"$f":"HLOOKUP($C$2,$B$16:$D30,$A30,FALSE)","v":"Bahrain"},"Country14","for databases"]
[16,"Bangladesh","Bangladesh","Bangladesh",{"$f":"HLOOKUP($C$2,$B$16:$D31,$A31,FALSE)","v":"Bangladesh"},"Country15","for databases"]
[17,"Barbados","Barbade","Barbados",{"$f":"HLOOKUP($C$2,$B$16:$D32,$A32,FALSE)","v":"Barbados"},"Country16","for databases"]
[18,"Belarus","Bélarus","Belarús",{"$f":"HLOOKUP($C$2,$B$16:$D33,$A33,FALSE)","v":"Belarus"},"Country17","for databases"]
[19,"Belgium","Belgique","Bélgica",{"$f":"HLOOKUP($C$2,$B$16:$D34,$A34,FALSE)","v":"Belgium"},"Country18","for databases"]
[20,"Belize","Belize","Belice",{"$f":"HLOOKUP($C$2,$B$16:$D35,$A35,FALSE)","v":"Belize"},"Country19","for databases"]
[21,"Benin","Bénin","Benin",{"$f":"HLOOKUP($C$2,$B$16:$D36,$A36,FALSE)","v":"Benin"},"Country20","for databases"]
[22,"Bhutan","Bhoutan","Bhután",{"$f":"HLOOKUP($C$2,$B$16:$D37,$A37,FALSE)","v":"Bhutan"},"Country21","for databases"]
[23,"Bolivia (Plurinational State of)","Bolivie (État plurinational de)","Bolivia (Estado Plurinacional de)",{"$f":"HLOOKUP($C$2,$B$16:$D38,$A38,FALSE)","v":"Bolivia (Plurinational State of)"},"Country22","for databases"]
[24,"Bosnia and Herzegovina","Bosnie-Herzégovine","Bosnia y Herzegovina",{"$f":"HLOOKUP($C$2,$B$16:$D39,$A39,FALSE)","v":"Bosnia and Herzegovina"},"Country23","for databases"]
[25,"Botswana","Botswana","Botswana",{"$f":"HLOOKUP($C$2,$B$16:$D40,$A40,FALSE)","v":"Botswana"},"Country24","for databases"]
[26,"Brazil","Brésil","Brasil",{"$f":"HLOOKUP($C$2,$B$16:$D41,$A41,FALSE)","v":"Brazil"},"Country25","for databases"]
[27,"Brunei Darussalam","Brunéi Darussalam","Brunei Darussalam",{"$f":"HLOOKUP($C$2,$B$16:$D42,$A42,FALSE)","v":"Brunei Darussalam"},"Country26","for databases"]
[28,"Bulgaria","Bulgarie","Bulgaria",{"$f":"HLOOKUP($C$2,$B$16:$D43,$A43,FALSE)","v":"Bulgaria"},"Country27","for databases"]
[29,"Burkina Faso","Burkina Faso","Burkina Faso",{"$f":"HLOOKUP($C$2,$B$16:$D44,$A44,FALSE)","v":"Burkina Faso"},"Country28","for databases"]
[30,"Burundi","Burundi","Burundi",{"$f":"HLOOKUP($C$2,$B$16:$D45,$A45,FALSE)","v":"Burundi"},"Country29","for databases"]
[31,"Cabo Verde","Cabo Verde","Cabo Verde",{"$f":"HLOOKUP($C$2,$B$16:$D46,$A46,FALSE)","v":"Cabo Verde"},"Country30","for databases"]
[32,"Cambodia","Cambodge","Camboya",{"$f":"HLOOKUP($C$2,$B$16:$D47,$A47,FALSE)","v":"Cambodia"},"Country31","for databases"]
[33,"Cameroon","Cameroun","Camerún",{"$f":"HLOOKUP($C$2,$B$16:$D48,$A48,FALSE)","v":"Cameroon"},"Country32","for databases"]
[34,"Canada","Canada","Canadá",{"$f":"HLOOKUP($C$2,$B$16:$D49,$A49,FALSE)","v":"Canada"},"Country33","for databases"]
[35,"Central African Republic","République centrafricaine","República Centroafricana",{"$f":"HLOOKUP($C$2,$B$16:$D50,$A50,FALSE)","v":"Central African Republic"},"Country34","for databases"]
[36,"Chad","Tchad","Chad",{"$f":"HLOOKUP($C$2,$B$16:$D51,$A51,FALSE)","v":"Chad"},"Country35","for databases"]
[37,"Chile","Chili","Chile",{"$f":"HLOOKUP($C$2,$B$16:$D52,$A52,FALSE)","v":"Chile"},"Country36","for databases"]
[38,"China","Chine","China",{"$f":"HLOOKUP($C$2,$B$16:$D53,$A53,FALSE)","v":"China"},"Country37","for databases"]
[39,"Colombia","Colombie","Colombia",{"$f":"HLOOKUP($C$2,$B$16:$D54,$A54,FALSE)","v":"Colombia"},"Country38","for databases"]
[40,"Comoros","Comores","Comoras",{"$f":"HLOOKUP($C$2,$B$16:$D55,$A55,FALSE)","v":"Comoros"},"Country39","for databases"]
[41,"Congo","Congo","Congo",{"$f":"HLOOKUP($C$2,$B$16:$D56,$A56,FALSE)","v":"Congo"},"Country40","for databases"]
[42,"Cook Islands","Îles Cook","Islas Cook",{"$f":"HLOOKUP($C$2,$B$16:$D57,$A57,FALSE)","v":"Cook Islands"},"Country41","for databases"]
[43,"Costa Rica","Costa Rica","Costa Rica",{"$f":"HLOOKUP($C$2,$B$16:$D58,$A58,FALSE)","v":"Costa Rica"},"Country42","for databases"]
[44,"Croatia","Croatie","Croacia",{"$f":"HLOOKUP($C$2,$B$16:$D59,$A59,FALSE)","v":"Croatia"},"Country43","for databases"]
[45,"Cuba","Cuba","Cuba",{"$f":"HLOOKUP($C$2,$B$16:$D60,$A60,FALSE)","v":"Cuba"},"Country44","for databases"]
[46,"Cyprus","Chypre","Chipre",{"$f":"HLOOKUP($C$2,$B$16:$D61,$A61,FALSE)","v":"Cyprus"},"Country45","for databases"]
[47,"Czech Republic","République Tchèque","República Checa",{"$f":"HLOOKUP($C$2,$B$16:$D62,$A62,FALSE)","v":"Czech Republic"},"Country46","for databases"]
[48,"Côte d'Ivoire","Côte d'Ivoire","Côte d'Ivoire",{"$f":"HLOOKUP($C$2,$B$16:$D63,$A63,FALSE)","v":"Côte d'Ivoire"},"Country47","for databases"]
[49,"Democratic People's Republic of Korea","République populaire démocratique de Corée","República Popular Democrática de Corea",{"$f":"HLOOKUP($C$2,$B$16:$D64,$A64,FALSE)","v":"Democratic People's Republic of Korea"},"Country48","for databases"]
[50,"Democratic Republic of the Congo","République démocratique du Congo","República Democrática del Congo",{"$f":"HLOOKUP($C$2,$B$16:$D65,$A65,FALSE)","v":"Democratic Republic of the Congo"},"Country49","for databases"]
[51,"Denmark","Danemark","Dinamarca",{"$f":"HLOOKUP($C$2,$B$16:$D66,$A66,FALSE)","v":"Denmark"},"Country50","for databases"]
[52,"Djibouti","Djibouti","Djibouti",{"$f":"HLOOKUP($C$2,$B$16:$D67,$A67,FALSE)","v":"Djibouti"},"Country51","for databases"]
[53,"Dominica","Dominique","Dominica",{"$f":"HLOOKUP($C$2,$B$16:$D68,$A68,FALSE)","v":"Dominica"},"Country52","for databases"]
[54,"Dominican Republic","République dominicaine","República Dominicana",{"$f":"HLOOKUP($C$2,$B$16:$D69,$A69,FALSE)","v":"Dominican Republic"},"Country53","for databases"]
[55,"Ecuador","Équateur","Ecuador",{"$f":"HLOOKUP($C$2,$B$16:$D70,$A70,FALSE)","v":"Ecuador"},"Country54","for databases"]
[56,"Egypt","Égypte","Egipto",{"$f":"HLOOKUP($C$2,$B$16:$D71,$A71,FALSE)","v":"Egypt"},"Country55","for databases"]
[57,"El Salvador","El Salvador","El Salvador",{"$f":"HLOOKUP($C$2,$B$16:$D72,$A72,FALSE)","v":"El Salvador"},"Country56","for databases"]
[58,"Equatorial Guinea","Guinée équatoriale","Guinea Ecuatorial",{"$f":"HLOOKUP($C$2,$B$16:$D73,$A73,FALSE)","v":"Equatorial Guinea"},"Country57","for databases"]
[59,"Eritrea","Érythrée","Eritrea",{"$f":"HLOOKUP($C$2,$B$16:$D74,$A74,FALSE)","v":"Eritrea"},"Country58","for databases"]
[60,"Estonia","Estonie","Estonia",{"$f":"HLOOKUP($C$2,$B$16:$D75,$A75,FALSE)","v":"Estonia"},"Country59","for databases"]
[61,"Ethiopia","Éthiopie","Etiopía",{"$f":"HLOOKUP($C$2,$B$16:$D76,$A76,FALSE)","v":"Ethiopia"},"Country60","for databases"]
[62,"Faroe Islands (Associate Member)","Îles Féroé (Membre associé)","Islas Feroe (Miembro Asociado)",{"$f":"HLOOKUP($C$2,$B$16:$D77,$A77,FALSE)","v":"Faroe Islands (Associate Member)"},"Country61","for databases"]
[63,"Fiji","Fidji","Fiji",{"$f":"HLOOKUP($C$2,$B$16:$D78,$A78,FALSE)","v":"Fiji"},"Country62","for databases"]
[64,"Finland","Finlande","Finlandia",{"$f":"HLOOKUP($C$2,$B$16:$D79,$A79,FALSE)","v":"Finland"},"Country63","for databases"]
[65,"France","France","Francia",{"$f":"HLOOKUP($C$2,$B$16:$D80,$A80,FALSE)","v":"France"},"Country64","for databases"]
[66,"Gabon","Gabon","Gabón",{"$f":"HLOOKUP($C$2,$B$16:$D81,$A81,FALSE)","v":"Gabon"},"Country65","for databases"]
[67,"Gambia","Gambie","Gambia",{"$f":"HLOOKUP($C$2,$B$16:$D82,$A82,FALSE)","v":"Gambia"},"Country66","for databases"]
[68,"Georgia","Géorgie","Georgia",{"$f":"HLOOKUP($C$2,$B$16:$D83,$A83,FALSE)","v":"Georgia"},"Country67","for databases"]
[69,"Germany","Allemagne","Alemania",{"$f":"HLOOKUP($C$2,$B$16:$D84,$A84,FALSE)","v":"Germany"},{"$f":"\"Country\"&$A83","v":"Country68"},"for databases"]
[70,"Ghana","Ghana","Ghana",{"$f":"HLOOKUP($C$2,$B$16:$D85,$A85,FALSE)","v":"Ghana"},"Country69","for databases"]
[71,"Greece","Grèce","Grecia",{"$f":"HLOOKUP($C$2,$B$16:$D86,$A86,FALSE)","v":"Greece"},"Country70","for databases"]
[72,"Grenada","Grenade","Granada",{"$f":"HLOOKUP($C$2,$B$16:$D87,$A87,FALSE)","v":"Grenada"},"Country71","for databases"]
[73,"Guatemala","Guatemala","Guatemala",{"$f":"HLOOKUP($C$2,$B$16:$D88,$A88,FALSE)","v":"Guatemala"},"Country72","for databases"]
[74,"Guinea","Guinée","Guinea",{"$f":"HLOOKUP($C$2,$B$16:$D89,$A89,FALSE)","v":"Guinea"},"Country73","for databases"]
[75,"Guinea-Bissau","Guinée-Bissau","Guinea-Bissau",{"$f":"HLOOKUP($C$2,$B$16:$D90,$A90,FALSE)","v":"Guinea-Bissau"},"Country74","for databases"]
[76,"Guyana","Guyana","Guyana",{"$f":"HLOOKUP($C$2,$B$16:$D91,$A91,FALSE)","v":"Guyana"},"Country75","for databases"]
[77,"Haiti","Haïti","Haití",{"$f":"HLOOKUP($C$2,$B$16:$D92,$A92,FALSE)","v":"Haiti"},"Country76","for databases"]
[78,"Honduras","Honduras","Honduras",{"$f":"HLOOKUP($C$2,$B$16:$D93,$A93,FALSE)","v":"Honduras"},"Country77","for databases"]
[79,"Hungary","Hongrie","Hungría",{"$f":"HLOOKUP($C$2,$B$16:$D94,$A94,FALSE)","v":"Hungary"},"Country78","for databases"]
[80,"Iceland","Islande","Islandia",{"$f":"HLOOKUP($C$2,$B$16:$D95,$A95,FALSE)","v":"Iceland"},"Country79","for databases"]
[81,"India","Inde","India",{"$f":"HLOOKUP($C$2,$B$16:$D96,$A96,FALSE)","v":"India"},"Country80","for databases"]
[82,"Indonesia","Indonésie","Indonesia",{"$f":"HLOOKUP($C$2,$B$16:$D97,$A97,FALSE)","v":"Indonesia"},"Country81","for databases"]
[83,"Iran (Islamic Republic of)","Iran (République islamique d')","Irán (República Islámica del)",{"$f":"HLOOKUP($C$2,$B$16:$D98,$A98,FALSE)","v":"Iran (Islamic Republic of)"},"Country82","for databases"]
[84,"Iraq","Iraq","Iraq",{"$f":"HLOOKUP($C$2,$B$16:$D99,$A99,FALSE)","v":"Iraq"},"Country83","for databases"]
[85,"Ireland","Irlande","Irlanda",{"$f":"HLOOKUP($C$2,$B$16:$D100,$A100,FALSE)","v":"Ireland"},"Country84","for databases"]
[86,"Israel","Israël","Israel",{"$f":"HLOOKUP($C$2,$B$16:$D101,$A101,FALSE)","v":"Israel"},"Country85","for databases"]
[87,"Italy","Italie","Italia",{"$f":"HLOOKUP($C$2,$B$16:$D102,$A102,FALSE)","v":"Italy"},"Country86","for databases"]
[88,"Jamaica","Jamaïque","Jamaica",{"$f":"HLOOKUP($C$2,$B$16:$D103,$A103,FALSE)","v":"Jamaica"},"Country87","for databases"]
[89,"Japan","Japon","Japón",{"$f":"HLOOKUP($C$2,$B$16:$D104,$A104,FALSE)","v":"Japan"},"Country88","for databases"]
[90,"Jordan","Jordanie","Jordania",{"$f":"HLOOKUP($C$2,$B$16:$D105,$A105,FALSE)","v":"Jordan"},"Country89","for databases"]
[91,"Kazakhstan","Kazakhstan","Kazajstán",{"$f":"HLOOKUP($C$2,$B$16:$D106,$A106,FALSE)","v":"Kazakhstan"},"Country90","for databases"]
[92,"Kenya","Kenya","Kenya",{"$f":"HLOOKUP($C$2,$B$16:$D107,$A107,FALSE)","v":"Kenya"},"Country91","for databases"]
[93,"Kiribati","Kiribati","Kiribati",{"$f":"HLOOKUP($C$2,$B$16:$D108,$A108,FALSE)","v":"Kiribati"},"Country92","for databases"]
[94,"Kuwait","Koweït","Kuwait",{"$f":"HLOOKUP($C$2,$B$16:$D109,$A109,FALSE)","v":"Kuwait"},"Country93","for databases"]
[95,"Kyrgyzstan","Kirghizistan","Kirguistán",{"$f":"HLOOKUP($C$2,$B$16:$D110,$A110,FALSE)","v":"Kyrgyzstan"},"Country94","for databases"]
[96,"Lao People's Democratic Republic","République démocratique populaire lao","República Democrática Popular Lao",{"$f":"HLOOKUP($C$2,$B$16:$D111,$A111,FALSE)","v":"Lao People's Democratic Republic"},"Country95","for databases"]
[97,"Latvia","Lettonie","Letonia",{"$f":"HLOOKUP($C$2,$B$16:$D112,$A112,FALSE)","v":"Latvia"},"Country96","for databases"]
[98,"Lebanon","Liban","Líbano",{"$f":"HLOOKUP($C$2,$B$16:$D113,$A113,FALSE)","v":"Lebanon"},"Country97","for databases"]
[99,"Lesotho","Lesotho","Lesotho",{"$f":"HLOOKUP($C$2,$B$16:$D114,$A114,FALSE)","v":"Lesotho"},"Country98","for databases"]
[100,"Liberia","Libéria","Liberia",{"$f":"HLOOKUP($C$2,$B$16:$D115,$A115,FALSE)","v":"Liberia"},"Country99","for databases"]
[101,"Libya","Libye","Libia",{"$f":"HLOOKUP($C$2,$B$16:$D116,$A116,FALSE)","v":"Libya"},"Country100","for databases"]
[102,"Lithuania","Lituanie","Lituania",{"$f":"HLOOKUP($C$2,$B$16:$D117,$A117,FALSE)","v":"Lithuania"},"Country101","for databases"]
[103,"Luxembourg","Luxembourg","Luxemburgo",{"$f":"HLOOKUP($C$2,$B$16:$D118,$A118,FALSE)","v":"Luxembourg"},"Country102","for databases"]
[104,"Madagascar","Madagascar","Madagascar",{"$f":"HLOOKUP($C$2,$B$16:$D119,$A119,FALSE)","v":"Madagascar"},"Country103","for databases"]
[105,"Malawi","Malawi","Malawi",{"$f":"HLOOKUP($C$2,$B$16:$D120,$A120,FALSE)","v":"Malawi"},"Country104","for databases"]
[106,"Malaysia","Malaisie","Malasia",{"$f":"HLOOKUP($C$2,$B$16:$D121,$A121,FALSE)","v":"Malaysia"},"Country105","for databases"]
[107,"Maldives","Maldives","Maldivas",{"$f":"HLOOKUP($C$2,$B$16:$D122,$A122,FALSE)","v":"Maldives"},"Country106","for databases"]
[108,"Mali","Mali","Malí",{"$f":"HLOOKUP($C$2,$B$16:$D123,$A123,FALSE)","v":"Mali"},"Country107","for databases"]
[109,"Malta","Malte","Malta",{"$f":"HLOOKUP($C$2,$B$16:$D124,$A124,FALSE)","v":"Malta"},"Country108","for databases"]
[110,"Marshall Islands","Îles Marshall","Islas Marshall",{"$f":"HLOOKUP($C$2,$B$16:$D125,$A125,FALSE)","v":"Marshall Islands"},"Country109","for databases"]
[111,"Mauritania","Mauritanie","Mauritania",{"$f":"HLOOKUP($C$2,$B$16:$D126,$A126,FALSE)","v":"Mauritania"},"Country110","for databases"]
[112,"Mauritius","Maurice","Mauricio",{"$f":"HLOOKUP($C$2,$B$16:$D127,$A127,FALSE)","v":"Mauritius"},"Country111","for databases"]
[113,"Mexico","Mexique","México",{"$f":"HLOOKUP($C$2,$B$16:$D128,$A128,FALSE)","v":"Mexico"},"Country112","for databases"]
[114,"Micronesia (Federated States of)","Micronésie (États fédérés de)","Micronesia (Estados Federados de)",{"$f":"HLOOKUP($C$2,$B$16:$D129,$A129,FALSE)","v":"Micronesia (Federated States of)"},"Country113","for databases"]
[115,"Mongolia","Mongolie","Mongolia",{"$f":"HLOOKUP($C$2,$B$16:$D130,$A130,FALSE)","v":"Mongolia"},"Country114","for databases"]
[116,"Montenegro","Monténégro","Montenegro",{"$f":"HLOOKUP($C$2,$B$16:$D131,$A131,FALSE)","v":"Montenegro"},"Country115","for databases"]
[117,"Morocco","Maroc","Marruecos",{"$f":"HLOOKUP($C$2,$B$16:$D132,$A132,FALSE)","v":"Morocco"},"Country116","for databases"]
[118,"Mozambique","Mozambique","Mozambique",{"$f":"HLOOKUP($C$2,$B$16:$D133,$A133,FALSE)","v":"Mozambique"},"Country117","for databases"]
[119,"Myanmar","Myanmar","Myanmar",{"$f":"HLOOKUP($C$2,$B$16:$D134,$A134,FALSE)","v":"Myanmar"},"Country118","for databases"]
[120,"Namibia","Namibie","Namibia",{"$f":"HLOOKUP($C$2,$B$16:$D135,$A135,FALSE)","v":"Namibia"},"Country119","for databases"]
[121,"Nauru","Nauru","Nauru",{"$f":"HLOOKUP($C$2,$B$16:$D136,$A136,FALSE)","v":"Nauru"},"Country120","for databases"]
[122,"Nepal","Népal","Nepal",{"$f":"HLOOKUP($C$2,$B$16:$D137,$A137,FALSE)","v":"Nepal"},"Country121","for databases"]
[123,"Netherlands","Pays-Bas","Países Bajos",{"$f":"HLOOKUP($C$2,$B$16:$D138,$A138,FALSE)","v":"Netherlands"},"Country122","for databases"]
[124,"New Zealand","Nouvelle-Zélande","Nueva Zelandia",{"$f":"HLOOKUP($C$2,$B$16:$D139,$A139,FALSE)","v":"New Zealand"},"Country123","for databases"]
[125,"Nicaragua","Nicaragua","Nicaragua",{"$f":"HLOOKUP($C$2,$B$16:$D140,$A140,FALSE)","v":"Nicaragua"},"Country124","for databases"]
[126,"Niger","Niger","Níger",{"$f":"HLOOKUP($C$2,$B$16:$D141,$A141,FALSE)","v":"Niger"},"Country125","for databases"]
[127,"Nigeria","Nigéria","Nigeria",{"$f":"HLOOKUP($C$2,$B$16:$D142,$A142,FALSE)","v":"Nigeria"},"Country126","for databases"]
[128,"Niue","Nioué","Niue",{"$f":"HLOOKUP($C$2,$B$16:$D143,$A143,FALSE)","v":"Niue"},"Country127","for databases"]
[129,"Norway","Norvège","Noruega",{"$f":"HLOOKUP($C$2,$B$16:$D144,$A144,FALSE)","v":"Norway"},"Country128","for databases"]
[130,"Oman","Oman","Omán",{"$f":"HLOOKUP($C$2,$B$16:$D145,$A145,FALSE)","v":"Oman"},"Country129","for databases"]
[131,"Pakistan","Pakistan","Pakistán",{"$f":"HLOOKUP($C$2,$B$16:$D146,$A146,FALSE)","v":"Pakistan"},"Country130","for databases"]
[132,"Palau","Palaos","Palau",{"$f":"HLOOKUP($C$2,$B$16:$D147,$A147,FALSE)","v":"Palau"},"Country131","for databases"]
[133,"Panama","Panama","Panamá",{"$f":"HLOOKUP($C$2,$B$16:$D148,$A148,FALSE)","v":"Panama"},{"$f":"\"Country\"&$A147","v":"Country132"},"for databases"]
[134,"Papua New Guinea","Papouasie-Nouvelle-Guinée","Papua Nueva Guinea",{"$f":"HLOOKUP($C$2,$B$16:$D149,$A149,FALSE)","v":"Papua New Guinea"},"Country133","for databases"]
[135,"Paraguay","Paraguay","Paraguay",{"$f":"HLOOKUP($C$2,$B$16:$D150,$A150,FALSE)","v":"Paraguay"},"Country134","for databases"]
[136,"Peru","Pérou","Perú",{"$f":"HLOOKUP($C$2,$B$16:$D151,$A151,FALSE)","v":"Peru"},"Country135","for databases"]
[137,"Philippines","Philippines","Filipinas",{"$f":"HLOOKUP($C$2,$B$16:$D152,$A152,FALSE)","v":"Philippines"},"Country136","for databases"]
[138,"Poland","Pologne","Polonia",{"$f":"HLOOKUP($C$2,$B$16:$D153,$A153,FALSE)","v":"Poland"},"Country137","for databases"]
[139,"Portugal","Portugal","Portugal",{"$f":"HLOOKUP($C$2,$B$16:$D154,$A154,FALSE)","v":"Portugal"},"Country138","for databases"]
[140,"Qatar","Qatar","Qatar",{"$f":"HLOOKUP($C$2,$B$16:$D155,$A155,FALSE)","v":"Qatar"},"Country139","for databases"]
[141,"Republic of Korea","République de Corée","República de Corea",{"$f":"HLOOKUP($C$2,$B$16:$D156,$A156,FALSE)","v":"Republic of Korea"},"Country140","for databases"]
[142,"Republic of Moldova","République de Moldova","República de Moldova",{"$f":"HLOOKUP($C$2,$B$16:$D157,$A157,FALSE)","v":"Republic of Moldova"},"Country141","for databases"]
[143,"Romania","Roumanie","Rumania",{"$f":"HLOOKUP($C$2,$B$16:$D158,$A158,FALSE)","v":"Romania"},"Country142","for databases"]
[144,"Russian Federation","Fédération de Russie","Federación de Rusia",{"$f":"HLOOKUP($C$2,$B$16:$D159,$A159,FALSE)","v":"Russian Federation"},"Country143","for databases"]
[145,"Rwanda","Rwanda","Rwanda",{"$f":"HLOOKUP($C$2,$B$16:$D160,$A160,FALSE)","v":"Rwanda"},"Country144","for databases"]
[146,"Saint Kitts and Nevis","Saint-Kitts-et-Nevis","Saint Kitts y Nevis",{"$f":"HLOOKUP($C$2,$B$16:$D161,$A161,FALSE)","v":"Saint Kitts and Nevis"},"Country145","for databases"]
[147,"Saint Lucia","Sainte-Lucie","Santa Lucía",{"$f":"HLOOKUP($C$2,$B$16:$D162,$A162,FALSE)","v":"Saint Lucia"},"Country146","for databases"]
[148,"Saint Vincent and the Grenadines","Saint-Vincent-et-les Grenadines","San Vicente y las Granadinas",{"$f":"HLOOKUP($C$2,$B$16:$D163,$A163,FALSE)","v":"Saint Vincent and the Grenadines"},"Country147","for databases"]
[149,"Samoa","Samoa","Samoa",{"$f":"HLOOKUP($C$2,$B$16:$D164,$A164,FALSE)","v":"Samoa"},"Country148","for databases"]
[150,"San Marino","Saint-Marin","San Marino",{"$f":"HLOOKUP($C$2,$B$16:$D165,$A165,FALSE)","v":"San Marino"},"Country149","for databases"]
[151,"Sao Tome and Principe","Sao Tomé-et-Principe","Santo Tomé y Príncipe",{"$f":"HLOOKUP($C$2,$B$16:$D166,$A166,FALSE)","v":"Sao Tome and Principe"},"Country150","for databases"]
[152,"Saudi Arabia","Arabie saoudite","Arabia Saudita",{"$f":"HLOOKUP($C$2,$B$16:$D167,$A167,FALSE)","v":"Saudi Arabia"},"Country151","for databases"]
[153,"Senegal","Sénégal","Senegal",{"$f":"HLOOKUP($C$2,$B$16:$D168,$A168,FALSE)","v":"Senegal"},"Country152","for databases"]
[154,"Serbia","Serbie","Serbia",{"$f":"HLOOKUP($C$2,$B$16:$D169,$A169,FALSE)","v":"Serbia"},"Country153","for databases"]
[155,"Seychelles","Seychelles","Seychelles",{"$f":"HLOOKUP($C$2,$B$16:$D170,$A170,FALSE)","v":"Seychelles"},"Country154","for databases"]
[156,"Sierra Leone","Sierra Leone","Sierra Leona",{"$f":"HLOOKUP($C$2,$B$16:$D171,$A171,FALSE)","v":"Sierra Leone"},"Country155","for databases"]
[157,"Singapore","Singapour","Singapur",{"$f":"HLOOKUP($C$2,$B$16:$D172,$A172,FALSE)","v":"Singapore"},"Country156","for databases"]
[158,"Slovakia","Slovaquie","Eslovaquia",{"$f":"HLOOKUP($C$2,$B$16:$D173,$A173,FALSE)","v":"Slovakia"},"Country157","for databases"]
[159,"Slovenia","Slovénie","Eslovenia",{"$f":"HLOOKUP($C$2,$B$16:$D174,$A174,FALSE)","v":"Slovenia"},"Country158","for databases"]
[160,"Solomon Islands","Îles Salomon","Islas Salomón",{"$f":"HLOOKUP($C$2,$B$16:$D175,$A175,FALSE)","v":"Solomon Islands"},"Country159","for databases"]
[161,"Somalia","Somalie","Somalia",{"$f":"HLOOKUP($C$2,$B$16:$D176,$A176,FALSE)","v":"Somalia"},"Country160","for databases"]
[162,"South Africa","Afrique du Sud","Sudáfrica",{"$f":"HLOOKUP($C$2,$B$16:$D177,$A177,FALSE)","v":"South Africa"},"Country161","for databases"]
[163,"South Sudan","Soudan du Sud","Sudán del Sur",{"$f":"HLOOKUP($C$2,$B$16:$D178,$A178,FALSE)","v":"South Sudan"},"Country162","for databases"]
[164,"Spain","Espagne","España",{"$f":"HLOOKUP($C$2,$B$16:$D179,$A179,FALSE)","v":"Spain"},"Country163","for databases"]
[165,"Sri Lanka","Sri Lanka","Sri Lanka",{"$f":"HLOOKUP($C$2,$B$16:$D180,$A180,FALSE)","v":"Sri Lanka"},"Country164","for databases"]
[166,"Sudan","Soudan","Sudán",{"$f":"HLOOKUP($C$2,$B$16:$D181,$A181,FALSE)","v":"Sudan"},"Country165","for databases"]
[167,"Suriname","Suriname","Suriname",{"$f":"HLOOKUP($C$2,$B$16:$D182,$A182,FALSE)","v":"Suriname"},"Country166","for databases"]
[168,"Eswatini","Eswatini","Eswatini",{"$f":"HLOOKUP($C$2,$B$16:$D183,$A183,FALSE)","v":"Eswatini"},"Country167","for databases"]
[169,"Sweden","Suède","Suecia",{"$f":"HLOOKUP($C$2,$B$16:$D184,$A184,FALSE)","v":"Sweden"},"Country168","for databases"]
[170,"Switzerland","Suisse","Suiza",{"$f":"HLOOKUP($C$2,$B$16:$D185,$A185,FALSE)","v":"Switzerland"},"Country169","for databases"]
[171,"Syrian Arab Republic","République arabe syrienne","República Árabe Siria",{"$f":"HLOOKUP($C$2,$B$16:$D186,$A186,FALSE)","v":"Syrian Arab Republic"},"Country170","for databases"]
[172,"Tajikistan","Tadjikistan","Tayikistán",{"$f":"HLOOKUP($C$2,$B$16:$D187,$A187,FALSE)","v":"Tajikistan"},"Country171","for databases"]
[173,"Thailand","Thaïlande","Tailandia",{"$f":"HLOOKUP($C$2,$B$16:$D188,$A188,FALSE)","v":"Thailand"},"Country172","for databases"]
[174,"North Macedonia","Macédoine du Nord","Macedonia del Norte",{"$f":"HLOOKUP($C$2,$B$16:$D189,$A189,FALSE)","v":"North Macedonia"},"Country173","for databases"]
[175,"Timor-Leste","Timor-Leste","Timor-Leste",{"$f":"HLOOKUP($C$2,$B$16:$D190,$A190,FALSE)","v":"Timor-Leste"},"Country174","for databases"]
[176,"Togo","Togo","Togo",{"$f":"HLOOKUP($C$2,$B$16:$D191,$A191,FALSE)","v":"Togo"},"Country175","for databases"]
[177,"Tokelau (Associate Member)","Tokélaou (Membre associé)","Tokelau (Miembro Asociado)",{"$f":"HLOOKUP($C$2,$B$16:$D192,$A192,FALSE)","v":"Tokelau (Associate Member)"},"Country176","for databases"]
[178,"Tonga","Tonga","Tonga",{"$f":"HLOOKUP($C$2,$B$16:$D193,$A193,FALSE)","v":"Tonga"},"Country177","for databases"]
[179,"Trinidad and Tobago","Trinité-et-Tobago","Trinidad y Tabago",{"$f":"HLOOKUP($C$2,$B$16:$D194,$A194,FALSE)","v":"Trinidad and Tobago"},"Country178","for databases"]
[180,"Tunisia","Tunisie","Túnez",{"$f":"HLOOKUP($C$2,$B$16:$D195,$A195,FALSE)","v":"Tunisia"},"Country179","for databases"]
[181,"Turkey","Turquie","Turquía",{"$f":"HLOOKUP($C$2,$B$16:$D196,$A196,FALSE)","v":"Turkey"},"Country180","for databases"]
[182,"Turkmenistan","Turkménistan","Turkmenistán",{"$f":"HLOOKUP($C$2,$B$16:$D197,$A197,FALSE)","v":"Turkmenistan"},"Country181","for databases"]
[183,"Tuvalu","Tuvalu","Tuvalu",{"$f":"HLOOKUP($C$2,$B$16:$D198,$A198,FALSE)","v":"Tuvalu"},"Country182","for databases"]
[184,"Uganda","Ouganda","Uganda",{"$f":"HLOOKUP($C$2,$B$16:$D199,$A199,FALSE)","v":"Uganda"},"Country183","for databases"]
[185,"Ukraine","Ukraine","Ucrania",{"$f":"HLOOKUP($C$2,$B$16:$D200,$A200,FALSE)","v":"Ukraine"},"Country184","for databases"]
[186,"United Arab Emirates","Émirats arabes unis","Emiratos Árabes Unidos",{"$f":"HLOOKUP($C$2,$B$16:$D201,$A201,FALSE)","v":"United Arab Emirates"},"Country185","for databases"]
[187,"United Kingdom","Royaume-Uni","Reino Unido",{"$f":"HLOOKUP($C$2,$B$16:$D202,$A202,FALSE)","v":"United Kingdom"},"Country186","for databases"]
[188,"United Republic of Tanzania","République-Unie de Tanzanie","República Unida de Tanzanía",{"$f":"HLOOKUP($C$2,$B$16:$D203,$A203,FALSE)","v":"United Republic of Tanzania"},"Country187","for databases"]
[189,"United States of America","États-Unis d'Amérique","Estados Unidos de América",{"$f":"HLOOKUP($C$2,$B$16:$D204,$A204,FALSE)","v":"United States of America"},"Country188","for databases"]
[190,"Uruguay","Uruguay","Uruguay",{"$f":"HLOOKUP($C$2,$B$16:$D205,$A205,FALSE)","v":"Uruguay"},"Country189","for databases"]
[191,"Uzbekistan","Ouzbékistan","Uzbekistán",{"$f":"HLOOKUP($C$2,$B$16:$D206,$A206,FALSE)","v":"Uzbekistan"},"Country190","for databases"]
[192,"Vanuatu","Vanuatu","Vanuatu",{"$f":"HLOOKUP($C$2,$B$16:$D207,$A207,FALSE)","v":"Vanuatu"},"Country191","for databases"]
[193,"Venezuela (Bolivarian Republic of)","Venezuela (République bolivarienne du)","Venezuela (República Bolivariana de)",{"$f":"HLOOKUP($C$2,$B$16:$D208,$A208,FALSE)","v":"Venezuela (Bolivarian Republic of)"},"Country192","for databases"]
[194,"Viet Nam","Viet Nam","Viet Nam",{"$f":"HLOOKUP($C$2,$B$16:$D209,$A209,FALSE)","v":"Viet Nam"},"Country193","for databases"]
[195,"Yemen","Yémen","Yemen",{"$f":"HLOOKUP($C$2,$B$16:$D210,$A210,FALSE)","v":"Yemen"},"Country194","for databases"]
[196,"Zambia","Zambie","Zambia",{"$f":"HLOOKUP($C$2,$B$16:$D211,$A211,FALSE)","v":"Zambia"},"Country195","for databases"]
[197,"Zimbabwe","Zimbabwe","Zimbabwe",{"$f":"HLOOKUP($C$2,$B$16:$D212,$A212,FALSE)","v":"Zimbabwe"},{"$f":"\"Country\"&$A211","v":"Country196"},"for databases"]
[198,null,null,null,null,null,"for databases"]
[199,null,null,null,null,null,"for databases"]
[200,null,null,null,null,null,"for databases"]
[201,null,null,null,null,null,"for databases"]
[202,null,null,null,null,null,"for databases"]
[203,null,null,null,null,null,"for databases"]
[204,null,null,null,null,null,"for databases"]
[205,null,null,null,null,null,"for databases"]
[206,null,null,null,null,null,"for databases"]
[207,null,null,null,null,null,"for databases"]
[208,null,null,null,null,null,"for databases"]
[209,null,null,null,null,null,"for databases"]
[210,null,null,null,null,null,"for databases"]
[211,null,null,null,null,null,"for databases"]
[212,null,null,null,null,null,"for databases"]
[213,null,null,null,null,null,"for databases"]
[214,null,null,null,null,null,"for databases"]
[215,null,null,null,null,null,"for databases"]
[216,null,null,null,null,null,"for databases"]
[217,null,null,null,null,null,"for databases"]
[218,null,null,null,null,null,"for databases"]
[219,null,null,null,null,null,"for databases"]
[220,null,null,null,null,null,"for databases"]
[221,null,null,null,null,null,"for databases"]
[222,null,null,null,null,null,"for databases"]
[223,null,null,null,null,null,"for databases"]
[224,null,null,null,null,null,"for databases"]
[225,null,null,null,null,null,"for databases"]
[226,null,null,null,null,null,"for databases"]
[227,null,null,null,null,null,"for databases"]
[228,null,null,null,null,null,"for databases"]
[229,null,null,null,null,null,"for databases"]
[230,null,null,null,null,null,"for databases"]
[231,null,null,null,null,null,"for databases"]
[232,null,null,null,null,null,"for databases"]
[233,null,null,null,null,null,"for databases"]
[234,null,null,null,null,null,"for databases"]
[235,null,null,null,null,null,"for databases"]
[236,null,null,null,null,null,"for databases"]
[237,null,null,null,null,null,"for databases"]
[238,null,null,null,null,null,"for databases"]
[239,null,null,null,null,null,"for databases"]
[240,null,null,null,null,null,"for databases"]
[241,null,null,null,null,null,"for databases"]
[242,null,null,null,null,null,"for databases"]
[243,null,null,null,null,null,"for databases"]
[244,null,null,null,null,null,"for databases"]
[245,null,null,null,null,null,"for databases"]
[246,null,null,null,null,null,"for databases"]
[247,null,null,null,null,null,"for databases"]
[248,null,null,null,null,null,"for databases"]
[249,null,null,null,null,null,"for databases"]
[250,null,null,null,null,null,"for databases"]
[251,null,null,null,null,null,"for databases"]
[252,"Select a country","Sélectionner un pays","Seleccione un país",{"$f":"HLOOKUP($C$2,$B$16:$D267,$A267,FALSE)","v":"Select a country"},"Country251","for combobox"]
[253,"Afghanistan","Afghanistan","Afganistán",{"$f":"HLOOKUP($C$2,$B$16:$D268,$A268,FALSE)","v":"Afghanistan"},"Country252","for combobox"]
[254,"Albania","Afrique du Sud","Albania",{"$f":"HLOOKUP($C$2,$B$16:$D269,$A269,FALSE)","v":"Albania"},"Country253","for combobox"]
[255,"Algeria","Albanie","Alemania",{"$f":"HLOOKUP($C$2,$B$16:$D270,$A270,FALSE)","v":"Algeria"},"Country254","for combobox"]
[256,"Andorra","Algérie","Andorra",{"$f":"HLOOKUP($C$2,$B$16:$D271,$A271,FALSE)","v":"Andorra"},"Country255","for combobox"]
[257,"Angola","Allemagne","Angola",{"$f":"HLOOKUP($C$2,$B$16:$D272,$A272,FALSE)","v":"Angola"},"Country256","for combobox"]
[258,"Antigua and Barbuda","Andorre","Antigua y Barbuda",{"$f":"HLOOKUP($C$2,$B$16:$D273,$A273,FALSE)","v":"Antigua and Barbuda"},"Country257","for combobox"]
[259,"Argentina","Angola","Arabia Saudita",{"$f":"HLOOKUP($C$2,$B$16:$D274,$A274,FALSE)","v":"Argentina"},"Country258","for combobox"]
[260,"Armenia","Antigua-et-Barbuda","Argelia",{"$f":"HLOOKUP($C$2,$B$16:$D275,$A275,FALSE)","v":"Armenia"},"Country259","for combobox"]
[261,"Australia","Arabie saoudite","Argentina",{"$f":"HLOOKUP($C$2,$B$16:$D276,$A276,FALSE)","v":"Australia"},{"$f":"\"Country\"&$A275","v":"Country260"},"for combobox"]
[262,"Austria","Argentine","Armenia",{"$f":"HLOOKUP($C$2,$B$16:$D277,$A277,FALSE)","v":"Austria"},"Country261","for combobox"]
[263,"Azerbaijan","Arménie","Australia",{"$f":"HLOOKUP($C$2,$B$16:$D278,$A278,FALSE)","v":"Azerbaijan"},"Country262","for combobox"]
[264,"Bahamas","Australie","Austria",{"$f":"HLOOKUP($C$2,$B$16:$D279,$A279,FALSE)","v":"Bahamas"},"Country263","for combobox"]
[265,"Bahrain","Autriche","Azerbaiyán",{"$f":"HLOOKUP($C$2,$B$16:$D280,$A280,FALSE)","v":"Bahrain"},"Country264","for combobox"]
[266,"Bangladesh","Azerbaïdjan","Bahamas",{"$f":"HLOOKUP($C$2,$B$16:$D281,$A281,FALSE)","v":"Bangladesh"},"Country265","for combobox"]
[267,"Barbados","Bahamas","Bahrein",{"$f":"HLOOKUP($C$2,$B$16:$D282,$A282,FALSE)","v":"Barbados"},"Country266","for combobox"]
[268,"Belarus","Bahreïn","Bangladesh",{"$f":"HLOOKUP($C$2,$B$16:$D283,$A283,FALSE)","v":"Belarus"},"Country267","for combobox"]
[269,"Belgium","Bangladesh","Barbados",{"$f":"HLOOKUP($C$2,$B$16:$D284,$A284,FALSE)","v":"Belgium"},"Country268","for combobox"]
[270,"Belize","Barbade","Belarús",{"$f":"HLOOKUP($C$2,$B$16:$D285,$A285,FALSE)","v":"Belize"},"Country269","for combobox"]
[271,"Benin","Bélarus","Bélgica",{"$f":"HLOOKUP($C$2,$B$16:$D286,$A286,FALSE)","v":"Benin"},"Country270","for combobox"]
[272,"Bhutan","Belgique","Belice",{"$f":"HLOOKUP($C$2,$B$16:$D287,$A287,FALSE)","v":"Bhutan"},"Country271","for combobox"]
[273,"Bolivia (Plurinational State of)","Belize","Benin",{"$f":"HLOOKUP($C$2,$B$16:$D288,$A288,FALSE)","v":"Bolivia (Plurinational State of)"},"Country272","for combobox"]
[274,"Bosnia and Herzegovina","Bénin","Bhután",{"$f":"HLOOKUP($C$2,$B$16:$D289,$A289,FALSE)","v":"Bosnia and Herzegovina"},"Country273","for combobox"]
[275,"Botswana","Bhoutan","Bolivia (Estado Plurinacional de)",{"$f":"HLOOKUP($C$2,$B$16:$D290,$A290,FALSE)","v":"Botswana"},"Country274","for combobox"]
[276,"Brazil","Bolivie (État plurinational de)","Bosnia y Herzegovina",{"$f":"HLOOKUP($C$2,$B$16:$D291,$A291,FALSE)","v":"Brazil"},"Country275","for combobox"]
[277,"Brunei Darussalam","Bosnie-Herzégovine","Botswana",{"$f":"HLOOKUP($C$2,$B$16:$D292,$A292,FALSE)","v":"Brunei Darussalam"},"Country276","for combobox"]
[278,"Bulgaria","Botswana","Brasil",{"$f":"HLOOKUP($C$2,$B$16:$D293,$A293,FALSE)","v":"Bulgaria"},"Country277","for combobox"]
[279,"Burkina Faso","Brésil","Brunei Darussalam",{"$f":"HLOOKUP($C$2,$B$16:$D294,$A294,FALSE)","v":"Burkina Faso"},"Country278","for combobox"]
[280,"Burundi","Brunéi Darussalam","Bulgaria",{"$f":"HLOOKUP($C$2,$B$16:$D295,$A295,FALSE)","v":"Burundi"},"Country279","for combobox"]
[281,"Cabo Verde","Bulgarie","Burkina Faso",{"$f":"HLOOKUP($C$2,$B$16:$D296,$A296,FALSE)","v":"Cabo Verde"},"Country280","for combobox"]
[282,"Cambodia","Burkina Faso","Burundi",{"$f":"HLOOKUP($C$2,$B$16:$D297,$A297,FALSE)","v":"Cambodia"},"Country281","for combobox"]
[283,"Cameroon","Burundi","Cabo Verde",{"$f":"HLOOKUP($C$2,$B$16:$D298,$A298,FALSE)","v":"Cameroon"},"Country282","for combobox"]
[284,"Canada","Cabo Verde","Camboya",{"$f":"HLOOKUP($C$2,$B$16:$D299,$A299,FALSE)","v":"Canada"},"Country283","for combobox"]
[285,"Central African Republic","Cambodge","Camerún",{"$f":"HLOOKUP($C$2,$B$16:$D300,$A300,FALSE)","v":"Central African Republic"},"Country284","for combobox"]
[286,"Chad","Cameroun","Canadá",{"$f":"HLOOKUP($C$2,$B$16:$D301,$A301,FALSE)","v":"Chad"},"Country285","for combobox"]
[287,"Chile","Canada","Chad",{"$f":"HLOOKUP($C$2,$B$16:$D302,$A302,FALSE)","v":"Chile"},"Country286","for combobox"]
[288,"China","Chili","República Checa",{"$f":"HLOOKUP($C$2,$B$16:$D303,$A303,FALSE)","v":"China"},"Country287","for combobox"]
[289,"Colombia","Chine","Chile",{"$f":"HLOOKUP($C$2,$B$16:$D304,$A304,FALSE)","v":"Colombia"},"Country288","for combobox"]
[290,"Comoros","Chypre","China",{"$f":"HLOOKUP($C$2,$B$16:$D305,$A305,FALSE)","v":"Comoros"},"Country289","for combobox"]
[291,"Congo","Colombie","Chipre",{"$f":"HLOOKUP($C$2,$B$16:$D306,$A306,FALSE)","v":"Congo"},"Country290","for combobox"]
[292,"Cook Islands","Comores","Colombia",{"$f":"HLOOKUP($C$2,$B$16:$D307,$A307,FALSE)","v":"Cook Islands"},"Country291","for combobox"]
[293,"Costa Rica","Congo","Comoras",{"$f":"HLOOKUP($C$2,$B$16:$D308,$A308,FALSE)","v":"Costa Rica"},"Country292","for combobox"]
[294,"Croatia","Costa Rica","Congo",{"$f":"HLOOKUP($C$2,$B$16:$D309,$A309,FALSE)","v":"Croatia"},"Country293","for combobox"]
[295,"Cuba","Côte d'Ivoire","Costa Rica",{"$f":"HLOOKUP($C$2,$B$16:$D310,$A310,FALSE)","v":"Cuba"},"Country294","for combobox"]
[296,"Cyprus","Croatie","Côte d'Ivoire",{"$f":"HLOOKUP($C$2,$B$16:$D311,$A311,FALSE)","v":"Cyprus"},"Country295","for combobox"]
[297,"Czech Republic","Cuba","Croacia",{"$f":"HLOOKUP($C$2,$B$16:$D312,$A312,FALSE)","v":"Czech Republic"},"Country296","for combobox"]
[298,"Côte d'Ivoire","Danemark","Cuba",{"$f":"HLOOKUP($C$2,$B$16:$D313,$A313,FALSE)","v":"Côte d'Ivoire"},"Country297","for combobox"]
[299,"Democratic People's Republic of Korea","Djibouti","Dinamarca",{"$f":"HLOOKUP($C$2,$B$16:$D314,$A314,FALSE)","v":"Democratic People's Republic of Korea"},"Country298","for combobox"]
[300,"Democratic Republic of the Congo","Dominique","Djibouti",{"$f":"HLOOKUP($C$2,$B$16:$D315,$A315,FALSE)","v":"Democratic Republic of the Congo"},"Country299","for combobox"]
[301,"Denmark","Égypte","Dominica",{"$f":"HLOOKUP($C$2,$B$16:$D316,$A316,FALSE)","v":"Denmark"},"Country300","for combobox"]
[302,"Djibouti","El Salvador","Ecuador",{"$f":"HLOOKUP($C$2,$B$16:$D317,$A317,FALSE)","v":"Djibouti"},"Country301","for combobox"]
[303,"Dominica","Émirats arabes unis","Egipto",{"$f":"HLOOKUP($C$2,$B$16:$D318,$A318,FALSE)","v":"Dominica"},"Country302","for combobox"]
[304,"Dominican Republic","Équateur","El Salvador",{"$f":"HLOOKUP($C$2,$B$16:$D319,$A319,FALSE)","v":"Dominican Republic"},"Country303","for combobox"]
[305,"Ecuador","Érythrée","Emiratos Árabes Unidos",{"$f":"HLOOKUP($C$2,$B$16:$D320,$A320,FALSE)","v":"Ecuador"},"Country304","for combobox"]
[306,"Egypt","Espagne","Eritrea",{"$f":"HLOOKUP($C$2,$B$16:$D321,$A321,FALSE)","v":"Egypt"},"Country305","for combobox"]
[307,"El Salvador","Estonie","Eslovaquia",{"$f":"HLOOKUP($C$2,$B$16:$D322,$A322,FALSE)","v":"El Salvador"},"Country306","for combobox"]
[308,"Equatorial Guinea","États-Unis d'Amérique","Eslovenia",{"$f":"HLOOKUP($C$2,$B$16:$D323,$A323,FALSE)","v":"Equatorial Guinea"},"Country307","for combobox"]
[309,"Eritrea","Éthiopie","España",{"$f":"HLOOKUP($C$2,$B$16:$D324,$A324,FALSE)","v":"Eritrea"},"Country308","for combobox"]
[310,"Estonia","Macédoine du Nord","Estados Unidos de América",{"$f":"HLOOKUP($C$2,$B$16:$D325,$A325,FALSE)","v":"Estonia"},"Country309","for combobox"]
[311,"Ethiopia","Fédération de Russie","Estonia",{"$f":"HLOOKUP($C$2,$B$16:$D326,$A326,FALSE)","v":"Ethiopia"},"Country310","for combobox"]
[312,"Faroe Islands (Associate Member)","Fidji","Etiopía",{"$f":"HLOOKUP($C$2,$B$16:$D327,$A327,FALSE)","v":"Faroe Islands (Associate Member)"},"Country311","for combobox"]
[313,"Fiji","Finlande","Macedonia del Norte",{"$f":"HLOOKUP($C$2,$B$16:$D328,$A328,FALSE)","v":"Fiji"},"Country312","for combobox"]
[314,"Finland","France","Federación de Rusia",{"$f":"HLOOKUP($C$2,$B$16:$D329,$A329,FALSE)","v":"Finland"},"Country313","for combobox"]
[315,"France","Gabon","Fiji",{"$f":"HLOOKUP($C$2,$B$16:$D330,$A330,FALSE)","v":"France"},"Country314","for combobox"]
[316,"Gabon","Gambie","Filipinas",{"$f":"HLOOKUP($C$2,$B$16:$D331,$A331,FALSE)","v":"Gabon"},"Country315","for combobox"]
[317,"Gambia","Géorgie","Finlandia",{"$f":"HLOOKUP($C$2,$B$16:$D332,$A332,FALSE)","v":"Gambia"},"Country316","for combobox"]
[318,"Georgia","Ghana","Francia",{"$f":"HLOOKUP($C$2,$B$16:$D333,$A333,FALSE)","v":"Georgia"},"Country317","for combobox"]
[319,"Germany","Grèce","Gabón",{"$f":"HLOOKUP($C$2,$B$16:$D334,$A334,FALSE)","v":"Germany"},"Country318","for combobox"]
[320,"Ghana","Grenade","Gambia",{"$f":"HLOOKUP($C$2,$B$16:$D335,$A335,FALSE)","v":"Ghana"},"Country319","for combobox"]
[321,"Greece","Guatemala","Georgia",{"$f":"HLOOKUP($C$2,$B$16:$D336,$A336,FALSE)","v":"Greece"},"Country320","for combobox"]
[322,"Grenada","Guinée","Ghana",{"$f":"HLOOKUP($C$2,$B$16:$D337,$A337,FALSE)","v":"Grenada"},"Country321","for combobox"]
[323,"Guatemala","Guinée équatoriale","Granada",{"$f":"HLOOKUP($C$2,$B$16:$D338,$A338,FALSE)","v":"Guatemala"},"Country322","for combobox"]
[324,"Guinea","Guinée-Bissau","Grecia",{"$f":"HLOOKUP($C$2,$B$16:$D339,$A339,FALSE)","v":"Guinea"},"Country323","for combobox"]
[325,"Guinea-Bissau","Guyana","Guatemala",{"$f":"HLOOKUP($C$2,$B$16:$D340,$A340,FALSE)","v":"Guinea-Bissau"},{"$f":"\"Country\"&$A339","v":"Country324"},"for combobox"]
[326,"Guyana","Haïti","Guinea",{"$f":"HLOOKUP($C$2,$B$16:$D341,$A341,FALSE)","v":"Guyana"},"Country325","for combobox"]
[327,"Haiti","Honduras","Guinea Ecuatorial",{"$f":"HLOOKUP($C$2,$B$16:$D342,$A342,FALSE)","v":"Haiti"},"Country326","for combobox"]
[328,"Honduras","Hongrie","Guinea-Bissau",{"$f":"HLOOKUP($C$2,$B$16:$D343,$A343,FALSE)","v":"Honduras"},"Country327","for combobox"]
[329,"Hungary","Îles Cook","Guyana",{"$f":"HLOOKUP($C$2,$B$16:$D344,$A344,FALSE)","v":"Hungary"},"Country328","for combobox"]
[330,"Iceland","Îles Féroé (Membre associé)","Haití",{"$f":"HLOOKUP($C$2,$B$16:$D345,$A345,FALSE)","v":"Iceland"},"Country329","for combobox"]
[331,"India","Îles Marshall","Honduras",{"$f":"HLOOKUP($C$2,$B$16:$D346,$A346,FALSE)","v":"India"},"Country330","for combobox"]
[332,"Indonesia","Îles Salomon","Hungría",{"$f":"HLOOKUP($C$2,$B$16:$D347,$A347,FALSE)","v":"Indonesia"},"Country331","for combobox"]
[333,"Iran (Islamic Republic of)","Inde","India",{"$f":"HLOOKUP($C$2,$B$16:$D348,$A348,FALSE)","v":"Iran (Islamic Republic of)"},"Country332","for combobox"]
[334,"Iraq","Indonésie","Indonesia",{"$f":"HLOOKUP($C$2,$B$16:$D349,$A349,FALSE)","v":"Iraq"},"Country333","for combobox"]
[335,"Ireland","Iran (République islamique d')","Irán (República Islámica del)",{"$f":"HLOOKUP($C$2,$B$16:$D350,$A350,FALSE)","v":"Ireland"},"Country334","for combobox"]
[336,"Israel","Iraq","Iraq",{"$f":"HLOOKUP($C$2,$B$16:$D351,$A351,FALSE)","v":"Israel"},"Country335","for combobox"]
[337,"Italy","Irlande","Irlanda",{"$f":"HLOOKUP($C$2,$B$16:$D352,$A352,FALSE)","v":"Italy"},"Country336","for combobox"]
[338,"Jamaica","Islande","Islandia",{"$f":"HLOOKUP($C$2,$B$16:$D353,$A353,FALSE)","v":"Jamaica"},"Country337","for combobox"]
[339,"Japan","Israël","Islas Cook",{"$f":"HLOOKUP($C$2,$B$16:$D354,$A354,FALSE)","v":"Japan"},"Country338","for combobox"]
[340,"Jordan","Italie","Islas Feroe (Miembro Asociado)",{"$f":"HLOOKUP($C$2,$B$16:$D355,$A355,FALSE)","v":"Jordan"},"Country339","for combobox"]
[341,"Kazakhstan","Jamaïque","Islas Marshall",{"$f":"HLOOKUP($C$2,$B$16:$D356,$A356,FALSE)","v":"Kazakhstan"},"Country340","for combobox"]
[342,"Kenya","Japon","Islas Salomón",{"$f":"HLOOKUP($C$2,$B$16:$D357,$A357,FALSE)","v":"Kenya"},"Country341","for combobox"]
[343,"Kiribati","Jordanie","Israel",{"$f":"HLOOKUP($C$2,$B$16:$D358,$A358,FALSE)","v":"Kiribati"},"Country342","for combobox"]
[344,"Kuwait","Kazakhstan","Italia",{"$f":"HLOOKUP($C$2,$B$16:$D359,$A359,FALSE)","v":"Kuwait"},"Country343","for combobox"]
[345,"Kyrgyzstan","Kenya","Jamaica",{"$f":"HLOOKUP($C$2,$B$16:$D360,$A360,FALSE)","v":"Kyrgyzstan"},"Country344","for combobox"]
[346,"Lao People's Democratic Republic","Kirghizistan","Japón",{"$f":"HLOOKUP($C$2,$B$16:$D361,$A361,FALSE)","v":"Lao People's Democratic Republic"},"Country345","for combobox"]
[347,"Latvia","Kiribati","Jordania",{"$f":"HLOOKUP($C$2,$B$16:$D362,$A362,FALSE)","v":"Latvia"},"Country346","for combobox"]
[348,"Lebanon","Koweït","Kazajstán",{"$f":"HLOOKUP($C$2,$B$16:$D363,$A363,FALSE)","v":"Lebanon"},"Country347","for combobox"]
[349,"Lesotho","Lesotho","Kenya",{"$f":"HLOOKUP($C$2,$B$16:$D364,$A364,FALSE)","v":"Lesotho"},"Country348","for combobox"]
[350,"Liberia","Lettonie","Kirguistán",{"$f":"HLOOKUP($C$2,$B$16:$D365,$A365,FALSE)","v":"Liberia"},"Country349","for combobox"]
[351,"Libya","Liban","Kiribati",{"$f":"HLOOKUP($C$2,$B$16:$D366,$A366,FALSE)","v":"Libya"},"Country350","for combobox"]
[352,"Lithuania","Libéria","Kuwait",{"$f":"HLOOKUP($C$2,$B$16:$D367,$A367,FALSE)","v":"Lithuania"},"Country351","for combobox"]
[353,"Luxembourg","Libye","Lesotho",{"$f":"HLOOKUP($C$2,$B$16:$D368,$A368,FALSE)","v":"Luxembourg"},"Country352","for combobox"]
[354,"Madagascar","Lituanie","Letonia",{"$f":"HLOOKUP($C$2,$B$16:$D369,$A369,FALSE)","v":"Madagascar"},"Country353","for combobox"]
[355,"Malawi","Luxembourg","Líbano",{"$f":"HLOOKUP($C$2,$B$16:$D370,$A370,FALSE)","v":"Malawi"},"Country354","for combobox"]
[356,"Malaysia","Madagascar","Liberia",{"$f":"HLOOKUP($C$2,$B$16:$D371,$A371,FALSE)","v":"Malaysia"},"Country355","for combobox"]
[357,"Maldives","Malaisie","Libia",{"$f":"HLOOKUP($C$2,$B$16:$D372,$A372,FALSE)","v":"Maldives"},"Country356","for combobox"]
[358,"Mali","Malawi","Lituania",{"$f":"HLOOKUP($C$2,$B$16:$D373,$A373,FALSE)","v":"Mali"},"Country357","for combobox"]
[359,"Malta","Maldives","Luxemburgo",{"$f":"HLOOKUP($C$2,$B$16:$D374,$A374,FALSE)","v":"Malta"},"Country358","for combobox"]
[360,"Marshall Islands","Mali","Madagascar",{"$f":"HLOOKUP($C$2,$B$16:$D375,$A375,FALSE)","v":"Marshall Islands"},"Country359","for combobox"]
[361,"Mauritania","Malte","Malasia",{"$f":"HLOOKUP($C$2,$B$16:$D376,$A376,FALSE)","v":"Mauritania"},"Country360","for combobox"]
[362,"Mauritius","Maroc","Malawi",{"$f":"HLOOKUP($C$2,$B$16:$D377,$A377,FALSE)","v":"Mauritius"},"Country361","for combobox"]
[363,"Mexico","Maurice","Maldivas",{"$f":"HLOOKUP($C$2,$B$16:$D378,$A378,FALSE)","v":"Mexico"},"Country362","for combobox"]
[364,"Micronesia (Federated States of)","Mauritanie","Malí",{"$f":"HLOOKUP($C$2,$B$16:$D379,$A379,FALSE)","v":"Micronesia (Federated States of)"},"Country363","for combobox"]
[365,"Monaco","Mexique","Malta",{"$f":"HLOOKUP($C$2,$B$16:$D380,$A380,FALSE)","v":"Monaco"},"Country364","for combobox"]
[366,"Mongolia","Micronésie (États fédérés de)","Marruecos",{"$f":"HLOOKUP($C$2,$B$16:$D381,$A381,FALSE)","v":"Mongolia"},"Country365","for combobox"]
[367,"Montenegro","Monaco","Mauricio",{"$f":"HLOOKUP($C$2,$B$16:$D382,$A382,FALSE)","v":"Montenegro"},"Country366","for combobox"]
[368,"Morocco","Mongolie","Mauritania",{"$f":"HLOOKUP($C$2,$B$16:$D383,$A383,FALSE)","v":"Morocco"},"Country367","for combobox"]
[369,"Mozambique","Monténégro","México",{"$f":"HLOOKUP($C$2,$B$16:$D384,$A384,FALSE)","v":"Mozambique"},"Country368","for combobox"]
[370,"Myanmar","Mozambique","Micronesia (Estados Federados de)",{"$f":"HLOOKUP($C$2,$B$16:$D385,$A385,FALSE)","v":"Myanmar"},"Country369","for combobox"]
[371,"Namibia","Myanmar","Mónaco",{"$f":"HLOOKUP($C$2,$B$16:$D386,$A386,FALSE)","v":"Namibia"},"Country370","for combobox"]
[372,"Nauru","Namibie","Mongolia",{"$f":"HLOOKUP($C$2,$B$16:$D387,$A387,FALSE)","v":"Nauru"},"Country371","for combobox"]
[373,"Nepal","Nauru","Montenegro",{"$f":"HLOOKUP($C$2,$B$16:$D388,$A388,FALSE)","v":"Nepal"},"Country372","for combobox"]
[374,"Netherlands","Népal","Mozambique",{"$f":"HLOOKUP($C$2,$B$16:$D389,$A389,FALSE)","v":"Netherlands"},"Country373","for combobox"]
[375,"New Zealand","Nicaragua","Myanmar",{"$f":"HLOOKUP($C$2,$B$16:$D390,$A390,FALSE)","v":"New Zealand"},"Country374","for combobox"]
[376,"Nicaragua","Niger","Namibia",{"$f":"HLOOKUP($C$2,$B$16:$D391,$A391,FALSE)","v":"Nicaragua"},"Country375","for combobox"]
[377,"Niger","Nigéria","Nauru",{"$f":"HLOOKUP($C$2,$B$16:$D392,$A392,FALSE)","v":"Niger"},"Country376","for combobox"]
[378,"Nigeria","Nioué","Nepal",{"$f":"HLOOKUP($C$2,$B$16:$D393,$A393,FALSE)","v":"Nigeria"},"Country377","for combobox"]
[379,"Niue","Norvège","Nicaragua",{"$f":"HLOOKUP($C$2,$B$16:$D394,$A394,FALSE)","v":"Niue"},"Country378","for combobox"]
[380,"Norway","Nouvelle-Zélande","Níger",{"$f":"HLOOKUP($C$2,$B$16:$D395,$A395,FALSE)","v":"Norway"},"Country379","for combobox"]
[381,"Oman","Oman","Nigeria",{"$f":"HLOOKUP($C$2,$B$16:$D396,$A396,FALSE)","v":"Oman"},"Country380","for combobox"]
[382,"Pakistan","Ouganda","Niue",{"$f":"HLOOKUP($C$2,$B$16:$D397,$A397,FALSE)","v":"Pakistan"},"Country381","for combobox"]
[383,"Palau","Ouzbékistan","Noruega",{"$f":"HLOOKUP($C$2,$B$16:$D398,$A398,FALSE)","v":"Palau"},"Country382","for combobox"]
[384,"Panama","Pakistan","Nueva Zelandia",{"$f":"HLOOKUP($C$2,$B$16:$D399,$A399,FALSE)","v":"Panama"},"Country383","for combobox"]
[385,"Papua New Guinea","Palaos","Omán",{"$f":"HLOOKUP($C$2,$B$16:$D400,$A400,FALSE)","v":"Papua New Guinea"},"Country384","for combobox"]
[386,"Paraguay","Panama","Países Bajos",{"$f":"HLOOKUP($C$2,$B$16:$D401,$A401,FALSE)","v":"Paraguay"},"Country385","for combobox"]
[387,"Peru","Papouasie-Nouvelle-Guinée","Pakistán",{"$f":"HLOOKUP($C$2,$B$16:$D402,$A402,FALSE)","v":"Peru"},"Country386","for combobox"]
[388,"Philippines","Paraguay","Palau",{"$f":"HLOOKUP($C$2,$B$16:$D403,$A403,FALSE)","v":"Philippines"},"Country387","for combobox"]
[389,"Poland","Pays-Bas","Panamá",{"$f":"HLOOKUP($C$2,$B$16:$D404,$A404,FALSE)","v":"Poland"},{"$f":"\"Country\"&$A403","v":"Country388"},"for combobox"]
[390,"Portugal","Pérou","Papua Nueva Guinea",{"$f":"HLOOKUP($C$2,$B$16:$D405,$A405,FALSE)","v":"Portugal"},"Country389","for combobox"]
[391,"Qatar","Philippines","Paraguay",{"$f":"HLOOKUP($C$2,$B$16:$D406,$A406,FALSE)","v":"Qatar"},"Country390","for combobox"]
[392,"Republic of Korea","Pologne","Perú",{"$f":"HLOOKUP($C$2,$B$16:$D407,$A407,FALSE)","v":"Republic of Korea"},"Country391","for combobox"]
[393,"Republic of Moldova","Portugal","Polonia",{"$f":"HLOOKUP($C$2,$B$16:$D408,$A408,FALSE)","v":"Republic of Moldova"},"Country392","for combobox"]
[394,"Romania","Qatar","Portugal",{"$f":"HLOOKUP($C$2,$B$16:$D409,$A409,FALSE)","v":"Romania"},"Country393","for combobox"]
[395,"Russian Federation","République arabe syrienne","Qatar",{"$f":"HLOOKUP($C$2,$B$16:$D410,$A410,FALSE)","v":"Russian Federation"},"Country394","for combobox"]
[396,"Rwanda","République centrafricaine","Reino Unido",{"$f":"HLOOKUP($C$2,$B$16:$D411,$A411,FALSE)","v":"Rwanda"},"Country395","for combobox"]
[397,"Saint Kitts and Nevis","République de Corée","República Árabe Siria",{"$f":"HLOOKUP($C$2,$B$16:$D412,$A412,FALSE)","v":"Saint Kitts and Nevis"},"Country396","for combobox"]
[398,"Saint Lucia","République de Moldova","República Centroafricana",{"$f":"HLOOKUP($C$2,$B$16:$D413,$A413,FALSE)","v":"Saint Lucia"},"Country397","for combobox"]
[399,"Saint Vincent and the Grenadines","République démocratique du Congo","República de Corea",{"$f":"HLOOKUP($C$2,$B$16:$D414,$A414,FALSE)","v":"Saint Vincent and the Grenadines"},"Country398","for combobox"]
[400,"Samoa","République démocratique populaire lao","República de Moldova",{"$f":"HLOOKUP($C$2,$B$16:$D415,$A415,FALSE)","v":"Samoa"},"Country399","for combobox"]
[401,"San Marino","République dominicaine","República Democrática del Congo",{"$f":"HLOOKUP($C$2,$B$16:$D416,$A416,FALSE)","v":"San Marino"},"Country400","for combobox"]
[402,"Sao Tome and Principe","République populaire démocratique de Corée","República Democrática Popular Lao",{"$f":"HLOOKUP($C$2,$B$16:$D417,$A417,FALSE)","v":"Sao Tome and Principe"},"Country401","for combobox"]
[403,"Saudi Arabia","République-Unie de Tanzanie","República Dominicana",{"$f":"HLOOKUP($C$2,$B$16:$D418,$A418,FALSE)","v":"Saudi Arabia"},"Country402","for combobox"]
[404,"Senegal","Roumanie","República Popular Democrática de Corea",{"$f":"HLOOKUP($C$2,$B$16:$D419,$A419,FALSE)","v":"Senegal"},"Country403","for combobox"]
[405,"Serbia","Royaume-Uni","República Unida de Tanzanía",{"$f":"HLOOKUP($C$2,$B$16:$D420,$A420,FALSE)","v":"Serbia"},"Country404","for combobox"]
[406,"Seychelles","Rwanda","Rumania",{"$f":"HLOOKUP($C$2,$B$16:$D421,$A421,FALSE)","v":"Seychelles"},"Country405","for combobox"]
[407,"Sierra Leone","Sainte-Lucie","Rwanda",{"$f":"HLOOKUP($C$2,$B$16:$D422,$A422,FALSE)","v":"Sierra Leone"},"Country406","for combobox"]
[408,"Singapore","Saint-Kitts-et-Nevis","Saint Kitts y Nevis",{"$f":"HLOOKUP($C$2,$B$16:$D423,$A423,FALSE)","v":"Singapore"},"Country407","for combobox"]
[409,"Slovakia","Saint-Marin","Samoa",{"$f":"HLOOKUP($C$2,$B$16:$D424,$A424,FALSE)","v":"Slovakia"},"Country408","for combobox"]
[410,"Slovenia","Saint-Vincent-et-les Grenadines","San Marino",{"$f":"HLOOKUP($C$2,$B$16:$D425,$A425,FALSE)","v":"Slovenia"},"Country409","for combobox"]
[411,"Solomon Islands","Samoa","San Vicente y las Granadinas",{"$f":"HLOOKUP($C$2,$B$16:$D426,$A426,FALSE)","v":"Solomon Islands"},"Country410","for combobox"]
[412,"Somalia","Sao Tomé-et-Principe","Santa Lucía",{"$f":"HLOOKUP($C$2,$B$16:$D427,$A427,FALSE)","v":"Somalia"},"Country411","for combobox"]
[413,"South Africa","Sénégal","Santo Tomé y Príncipe",{"$f":"HLOOKUP($C$2,$B$16:$D428,$A428,FALSE)","v":"South Africa"},"Country412","for combobox"]
[414,"South Sudan","Serbie","Senegal",{"$f":"HLOOKUP($C$2,$B$16:$D429,$A429,FALSE)","v":"South Sudan"},"Country413","for combobox"]
[415,"Spain","Seychelles","Serbia",{"$f":"HLOOKUP($C$2,$B$16:$D430,$A430,FALSE)","v":"Spain"},"Country414","for combobox"]
[416,"Sri Lanka","Sierra Leone","Seychelles",{"$f":"HLOOKUP($C$2,$B$16:$D431,$A431,FALSE)","v":"Sri Lanka"},"Country415","for combobox"]
[417,"Sudan","Singapour","Sierra Leona",{"$f":"HLOOKUP($C$2,$B$16:$D432,$A432,FALSE)","v":"Sudan"},"Country416","for combobox"]
[418,"Suriname","Slovaquie","Singapur",{"$f":"HLOOKUP($C$2,$B$16:$D433,$A433,FALSE)","v":"Suriname"},"Country417","for combobox"]
[419,"Eswatini","Slovénie","Somalia",{"$f":"HLOOKUP($C$2,$B$16:$D434,$A434,FALSE)","v":"Eswatini"},"Country418","for combobox"]
[420,"Sweden","Somalie","Sri Lanka",{"$f":"HLOOKUP($C$2,$B$16:$D435,$A435,FALSE)","v":"Sweden"},"Country419","for combobox"]
[421,"Switzerland","Soudan","Sudáfrica",{"$f":"HLOOKUP($C$2,$B$16:$D436,$A436,FALSE)","v":"Switzerland"},"Country420","for combobox"]
[422,"Syrian Arab Republic","Soudan du Sud","Sudán",{"$f":"HLOOKUP($C$2,$B$16:$D437,$A437,FALSE)","v":"Syrian Arab Republic"},"Country421","for combobox"]
[423,"Tajikistan","Sri Lanka","Sudán del Sur",{"$f":"HLOOKUP($C$2,$B$16:$D438,$A438,FALSE)","v":"Tajikistan"},"Country422","for combobox"]
[424,"Thailand","Suède","Suecia",{"$f":"HLOOKUP($C$2,$B$16:$D439,$A439,FALSE)","v":"Thailand"},"Country423","for combobox"]
[425,"North Macedonia","Suisse","Suiza",{"$f":"HLOOKUP($C$2,$B$16:$D440,$A440,FALSE)","v":"North Macedonia"},"Country424","for combobox"]
[426,"Timor-Leste","Suriname","Suriname",{"$f":"HLOOKUP($C$2,$B$16:$D441,$A441,FALSE)","v":"Timor-Leste"},"Country425","for combobox"]
[427,"Togo","Eswatini","Eswatini",{"$f":"HLOOKUP($C$2,$B$16:$D442,$A442,FALSE)","v":"Togo"},"Country426","for combobox"]
[428,"Tokelau (Associate Member)","Tadjikistan","Tailandia",{"$f":"HLOOKUP($C$2,$B$16:$D443,$A443,FALSE)","v":"Tokelau (Associate Member)"},"Country427","for combobox"]
[429,"Tonga","Tchad","Tayikistán",{"$f":"HLOOKUP($C$2,$B$16:$D444,$A444,FALSE)","v":"Tonga"},"Country428","for combobox"]
[430,"Trinidad and Tobago","République Tchèque","Timor-Leste",{"$f":"HLOOKUP($C$2,$B$16:$D445,$A445,FALSE)","v":"Trinidad and Tobago"},"Country429","for combobox"]
[431,"Tunisia","Thaïlande","Togo",{"$f":"HLOOKUP($C$2,$B$16:$D446,$A446,FALSE)","v":"Tunisia"},"Country430","for combobox"]
[432,"Turkey","Timor-Leste","Tokelau (Miembro Asociado)",{"$f":"HLOOKUP($C$2,$B$16:$D447,$A447,FALSE)","v":"Turkey"},"Country431","for combobox"]
[433,"Turkmenistan","Togo","Tonga",{"$f":"HLOOKUP($C$2,$B$16:$D448,$A448,FALSE)","v":"Turkmenistan"},"Country432","for combobox"]
[434,"Tuvalu","Tokélaou (Membre associé)","Trinidad y Tabago",{"$f":"HLOOKUP($C$2,$B$16:$D449,$A449,FALSE)","v":"Tuvalu"},"Country433","for combobox"]
[435,"Uganda","Tonga","Túnez",{"$f":"HLOOKUP($C$2,$B$16:$D450,$A450,FALSE)","v":"Uganda"},"Country434","for combobox"]
[436,"Ukraine","Trinité-et-Tobago","Turkmenistán",{"$f":"HLOOKUP($C$2,$B$16:$D451,$A451,FALSE)","v":"Ukraine"},"Country435","for combobox"]
[437,"United Arab Emirates","Tunisie","Turquía",{"$f":"HLOOKUP($C$2,$B$16:$D452,$A452,FALSE)","v":"United Arab Emirates"},"Country436","for combobox"]
[438,"United Kingdom","Turkménistan","Tuvalu",{"$f":"HLOOKUP($C$2,$B$16:$D453,$A453,FALSE)","v":"United Kingdom"},"Country437","for combobox"]
[439,"United Republic of Tanzania","Turquie","Ucrania",{"$f":"HLOOKUP($C$2,$B$16:$D454,$A454,FALSE)","v":"United Republic of Tanzania"},"Country438","for combobox"]
[440,"United States of America","Tuvalu","Uganda",{"$f":"HLOOKUP($C$2,$B$16:$D455,$A455,FALSE)","v":"United States of America"},"Country439","for combobox"]
[441,"Uruguay","Ukraine","Uruguay",{"$f":"HLOOKUP($C$2,$B$16:$D456,$A456,FALSE)","v":"Uruguay"},"Country440","for combobox"]
[442,"Uzbekistan","Uruguay","Uzbekistán",{"$f":"HLOOKUP($C$2,$B$16:$D457,$A457,FALSE)","v":"Uzbekistan"},"Country441","for combobox"]
[443,"Vanuatu","Vanuatu","Vanuatu",{"$f":"HLOOKUP($C$2,$B$16:$D458,$A458,FALSE)","v":"Vanuatu"},"Country442","for combobox"]
[444,"Venezuela (Bolivarian Republic of)","Venezuela (République bolivarienne du)","Venezuela (República Bolivariana de)",{"$f":"HLOOKUP($C$2,$B$16:$D459,$A459,FALSE)","v":"Venezuela (Bolivarian Republic of)"},"Country443","for combobox"]
[445,"Viet Nam","Viet Nam","Viet Nam",{"$f":"HLOOKUP($C$2,$B$16:$D460,$A460,FALSE)","v":"Viet Nam"},"Country444","for combobox"]
[446,"Yemen","Yémen","Yemen",{"$f":"HLOOKUP($C$2,$B$16:$D461,$A461,FALSE)","v":"Yemen"},"Country445","for combobox"]
[447,"Zambia","Zambie","Zambia",{"$f":"HLOOKUP($C$2,$B$16:$D462,$A462,FALSE)","v":"Zambia"},"Country446","for combobox"]
[448,"Zimbabwe","Zimbabwe","Zimbabwe",{"$f":"HLOOKUP($C$2,$B$16:$D463,$A463,FALSE)","v":"Zimbabwe"},"Country447","for combobox"]

{"sheet":"LANG_DATABASE","index":10,"n_rows":286,"n_cols":8,"rows_kept":286,"cut":false,"hidden":true,"merged":[]}
[]
[null,"Selection",{"$f":"VLOOKUP(Start!B2,$A$3:$C$5,3,FALSE)","v":1}]
["EN","English",1]
["FR","French",2,null,null,"Albania"]
["ES","Spanish",3]
[]
[null,null,null,null,null,null,"Province:"]
[]
[]
[]
[]
[]
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[null,"English","French","Spanish","Typeof"]
[1,1,2,3,null,null,"NAME"]
[2,"COUNTRY STATUS","SITUATION DU PAYS","SITUACIÓN ACTUAL DEL PAIS","title",{"$f":"HLOOKUP($C$2,$B$16:$D17,$A17,FALSE)","v":"COUNTRY STATUS"},{"$f":"$E17&$A17","v":"title2"}]
[3,"Country:","Pays:","País:","title",{"$f":"HLOOKUP($C$2,$B$16:$D18,$A18,FALSE)","v":"Country:"},{"$f":"$E18&$A18","v":"title3"}]
[4,"NEXT >> \nCountry Overview","SUIVANT >>\nAperçu du Pays","SIGUIENTE >>\nDescripción General del País  ","label",{"$f":"HLOOKUP($C$2,$B$16:$D19,$A19,FALSE)","v":"NEXT >> \nCountry Overview"},"label4"]
[5,"BEFS Rapid Appraisal for","Évaluation Rapide BEFS pour ","BEFS Evaluación Rápida para","title",{"$f":"HLOOKUP($C$2,$B$16:$D20,$A20,FALSE)","v":"BEFS Rapid Appraisal for"},"title5"]
[6,"Clear data","Effacer les données","Borrar datos","label",{"$f":"HLOOKUP($C$2,$B$16:$D21,$A21,FALSE)","v":"Clear data"},{"$f":"$E21&$A21","v":"label6"}]
[7,"Disclaimer FAO declines all responsibility for errors or deficiencies in the database or software or in the documentation accompanying it, for program maintenance and upgrading as well as for any damage that may arise from them. FAO also declines any responsibility for updating the data and assumes no responsibility for errors and omissions in the data provided. Users are, however, kindly asked to report any errors or deficiencies in this product to FAO.  The choices of calculation made in this tool are those of the author(s) and do not necessarily reflect the views  and choices of the Food and Agriculture Organization of the United Nations. © FAO, 2014","Déni de responsabilité  La FAO décline toute responsabilité quant aux erreurs ou défauts des textes du présent site et des bases de données y afférentes, ainsi que pour les dommages pouvant en résulter. La FAO décline également toute responsabilité quant à la mise à jour des données et se dégage de toute responsabilité quant aux erreurs ou omissions concernant les données fournies. Les utilisateurs sont toutefois invités à signaler toute erreur ou lacune de ce produit à la FAO. Les choix des calculs faits dans le présent outil sont celles du/des auteur(s) et ne reflètent pas nécessairement les choix et opinions de l’Organisation des Nations Unies pour l’alimentation et l’agriculture (FAO).  © FAO, 2014","Descargo de Responsabilidad La FAO declina cualquier responsabilidad por errores u otros defectos del banco de datos, programa o de la documentación que los acompaña, o por cualquier daño derivado de ellos, así como por el mantenimiento y el mejoramiento de los programas. La FAO declina asimismo cualquier responsabilidad por la actualización de los datos, o por errores u omisiones en los datos que se han proporcionado. Se pide no obstante a los usuarios que señalen eventuales errores o defectos de este producto a la FAO. La elección de los cálculos presente en esta herramienta son las del/de los autor(es) y no reflejan necesariamente  las opiniones y elecciones de la Organización de las Naciones Unidas para la Agricultura y la Alimentación.  © FAO, 2014 ","title",{"$f":"HLOOKUP($C$2,$B$16:$D22,$A22,FALSE)","v":"Disclaimer FAO declines all responsibility for errors or deficiencies in the database or software or in the documentation accompanying it, for program maintenance and upgrading as well as for any damage that may arise from them. FAO also declines any responsibility for updating the data and assumes no responsibility for errors and omissions in the data provided. Users are, however, kindly asked to report any errors or deficiencies in this product to FAO.  The choices of calculation made in this tool are those of the author(s) and do not necessarily reflect the views  and choices of the Food and Agriculture Organization of the United Nations. © FAO, 2014"},"title7"]
[8,"COUNTRY OVERVIEW","APERÇU DU PAYS","DESCRIPCIÓN GENERAL DEL PAÍS","title",{"$f":"HLOOKUP($C$2,$B$16:$D23,$A23,FALSE)","v":"COUNTRY OVERVIEW"},"title8"]
[9,"<< BACK \nStart ","NEXT >>\n Net Trade Position for Key Food Crops","<< VOLVER \nInicio","label",{"$f":"HLOOKUP($C$2,$B$16:$D24,$A24,FALSE)","v":"<< BACK \nStart "},"label9"]
[10,"Enter data into white cells","Entrer les données dans les cellules blanches","Introduzca los datos en las celdas blancas","title",{"$f":"HLOOKUP($C$2,$B$16:$D25,$A25,FALSE)","v":"Enter data into white cells"},"title10"]
[11,"Grey cells are calculated","Les cellules grisées sont calculées","Las celdas grises son cálculos","title",{"$f":"HLOOKUP($C$2,$B$16:$D26,$A26,FALSE)","v":"Grey cells are calculated"},"title11"]
[12,"POPULATION","POPULATION ","POBLACIÓN","title",{"$f":"HLOOKUP($C$2,$B$16:$D27,$A27,FALSE)","v":"POPULATION"},"title12"]
[13,"Parameter (unit)","Paramètre (unité)","Parámetro (unidad)","title",{"$f":"HLOOKUP($C$2,$B$16:$D28,$A28,FALSE)","v":"Parameter (unit)"},"title13"]
[14,"Value","Valeur","Valor","title",{"$f":"HLOOKUP($C$2,$B$16:$D29,$A29,FALSE)","v":"Value"},"title14"]
[15,"Year","Année","Año","title",{"$f":"HLOOKUP($C$2,$B$16:$D30,$A30,FALSE)","v":"Year"},"title15"]
[16,"User-defined value","Valeur définie par l'utilisateur","Valor definido por el usuario","title",{"$f":"HLOOKUP($C$2,$B$16:$D31,$A31,FALSE)","v":"User-defined value"},"title16"]
[17,"Total population (1000 inhab)","Population totale (1000 hab)","Población total (1.000 hab)","title",{"$f":"HLOOKUP($C$2,$B$16:$D32,$A32,FALSE)","v":"Total population (1000 inhab)"},"title17"]
[18,"Rural population","Population rurale","Población rural","title",{"$f":"HLOOKUP($C$2,$B$16:$D33,$A33,FALSE)","v":"Rural population"},"title18"]
[19,"Urban population (%)","Population urbaine (%)","Población urbana (%)","title",{"$f":"HLOOKUP($C$2,$B$16:$D34,$A34,FALSE)","v":"Urban population (%)"},"title19"]
[20,"Population density (inhab/km2)","Densité de population (hab/km2)","Densidad de población (hab/km2)","title",{"$f":"HLOOKUP($C$2,$B$16:$D35,$A35,FALSE)","v":"Population density (inhab/km2)"},"title20"]
[21,"Source:","Source:","Fuente:","title",{"$f":"HLOOKUP($C$2,$B$16:$D36,$A36,FALSE)","v":"Source:"},"title21"]
[22,"FAO, 2021: FAOSTAT","FAO, 2021: FAOSTAT","FAO, 2021: FAOSTAT","title",{"$f":"HLOOKUP($C$2,$B$16:$D37,$A37,FALSE)","v":"FAO, 2021: FAOSTAT"},"title22"]
[23,"SOCIO-ECONOMIC INDICATORS ","INDICATEURS SOCIO-ECONOMIQUES","INDICADORES SOCIO- ECONÓMICOS","title",{"$f":"HLOOKUP($C$2,$B$16:$D38,$A38,FALSE)","v":"SOCIO-ECONOMIC INDICATORS "},"title23"]
[24,"GDP per capita (current US$)","PIB par habitant (USD courants)","PIB per cápita (actual US$)","title",{"$f":"HLOOKUP($C$2,$B$16:$D39,$A39,FALSE)","v":"GDP per capita (current US$)"},"title24"]
[25,"GDP/capita, PPP (current int. $)","PIB/habitant, PPA (int. courant USD)","PIB/cápita, PPP (int. actual $)","title",{"$f":"HLOOKUP($C$2,$B$16:$D40,$A40,FALSE)","v":"GDP/capita, PPP (current int. $)"},"title25"]
[26,"GDP/capita, PPP (const. 2017, int. $)","PIB/habitant, PPA (const. 2017, USD int.)","PIB/cápita, PPP (Const. 2017, int. $)","title",{"$f":"HLOOKUP($C$2,$B$16:$D41,$A41,FALSE)","v":"GDP/capita, PPP (const. 2017, int. $)"},"title26"]
[27,"Agriculture, value added (% of GDP)","Valeur ajoutée agricole (% du PIB)","Agricultura, valor agregado (% del PIB)","title",{"$f":"HLOOKUP($C$2,$B$16:$D42,$A42,FALSE)","v":"Agriculture, value added (% of GDP)"},"title27"]
[28,"The World Bank, 2021: WDI","The World Bank, 2021: WDI","The World Bank, 2021: WDI","title",{"$f":"HLOOKUP($C$2,$B$16:$D43,$A43,FALSE)","v":"The World Bank, 2021: WDI"},"title28"]
[29," LAND COVER / LAND USE","COUVERTURE VEGETALE / OCCUPATION DES SOLS","COBERTURA TERRESTRE / USO DE LA TIERRA","title",{"$f":"HLOOKUP($C$2,$B$16:$D44,$A44,FALSE)","v":" LAND COVER / LAND USE"},"title29"]
[30,"Parameter ","Paramètre","Parámetro","title",{"$f":"HLOOKUP($C$2,$B$16:$D45,$A45,FALSE)","v":"Parameter "},"title30"]
[31,"1000 ha","1000 ha","1000 ha","title",{"$f":"HLOOKUP($C$2,$B$16:$D46,$A46,FALSE)","v":"1000 ha"},"title31"]
[32,"% of land area","% de la superficie des terres ","% de Superficie de la Tierra","title",{"$f":"HLOOKUP($C$2,$B$16:$D47,$A47,FALSE)","v":"% of land area"},"title32"]
[33,"Country area","Superficie du pays","Superficie del país","title",{"$f":"HLOOKUP($C$2,$B$16:$D48,$A48,FALSE)","v":"Country area"},"title33"]
[34,"Land area","Superficie des terres","Superficie de la tierra","title",{"$f":"HLOOKUP($C$2,$B$16:$D49,$A49,FALSE)","v":"Land area"},"title34"]
[35,"Agricultural area","Superficie agricole","Superficie agrícola","title",{"$f":"HLOOKUP($C$2,$B$16:$D50,$A50,FALSE)","v":"Agricultural area"},"title35"]
[36,"Arable land","Terres arables","Tierras arables","title",{"$f":"HLOOKUP($C$2,$B$16:$D51,$A51,FALSE)","v":"Arable land"},"title36"]
[37,"Permanent crops","Cultures permanentes","Cultivos permanentes","title",{"$f":"HLOOKUP($C$2,$B$16:$D52,$A52,FALSE)","v":"Permanent crops"},"title37"]
[38,"Forest area","Superficie forestière","Superficie Forestal","title",{"$f":"HLOOKUP($C$2,$B$16:$D53,$A53,FALSE)","v":"Forest area"},"title38"]
[39,"FAO, 2012, FAOSTAT","FAO, 2012, FAOSTAT","FAO, 2012, FAOSTAT","title",{"$f":"HLOOKUP($C$2,$B$16:$D54,$A54,FALSE)","v":"FAO, 2012, FAOSTAT"},"title39"]
[40,"FOOD SECURITY AND ENERGY USE","SÉCURITÉ ALIMENTAIRE ET LA CONSOMMATION D'ÉNERGIE ","SEGURIDAD ALIMENTARIA Y USO DE ENERGÍA","title",{"$f":"HLOOKUP($C$2,$B$16:$D55,$A55,FALSE)","v":"FOOD SECURITY AND ENERGY USE"},"title40"]
[41,"Undernourished population (%)","Population sous-alimentée (%)","Prevalencia de desnutrición (% de la población)","title",{"$f":"HLOOKUP($C$2,$B$16:$D56,$A56,FALSE)","v":"Undernourished population (%)"},"title41"]
[42,"Poverty headcount ratio at national poverty line (% of pop.)","Ratio de pauvreté au seuil de pauvreté national (% de la pop.)","Tasa de incidencia de la pobreza, sobre la base de la línea de pobreza nacional (% de la población)","title",{"$f":"HLOOKUP($C$2,$B$16:$D57,$A57,FALSE)","v":"Poverty headcount ratio at national poverty line (% of pop.)"},"title42"]
[43,"Energy use (kg of oil eq. per capita)","Consommation d'énergie (kg d'éq. pétrole par hab.)","Uso de energía (kg eq. de petróleo per cápita)","title",{"$f":"HLOOKUP($C$2,$B$16:$D58,$A58,FALSE)","v":"Energy use (kg of oil eq. per capita)"},"title43"]
[44,"Electric power consumption (kWh per capita)","Consommation d’électricité (KWh par habitant)","Consumo de energía eléctrica (kWh per cápita)","title",{"$f":"HLOOKUP($C$2,$B$16:$D59,$A59,FALSE)","v":"Electric power consumption (kWh per capita)"},"title44"]
[45,"Access to electricity (% of population)","Accès à l'électricité (% de la population)","Acceso a la electricidad (% de población)","title",{"$f":"HLOOKUP($C$2,$B$16:$D60,$A60,FALSE)","v":"Access to electricity (% of population)"},"title45"]
[46,"FOOD SUPPLY AND KEY FOODSTUFFS","DISPONIBILITE ALIMENTAIRE ET PRINCIPALES DENRÉES ALIMENTAIRES","SUMINISTRO DE ALIMENTOS Y PRINCIPALES PRODUCTOS ALIMENTICIOS","title",{"$f":"HLOOKUP($C$2,$B$16:$D61,$A61,FALSE)","v":"FOOD SUPPLY AND KEY FOODSTUFFS"},"title46"]
[47,"Rank","Rang","Rango","title",{"$f":"HLOOKUP($C$2,$B$16:$D62,$A62,FALSE)","v":"Rank"},"title47"]
[48,"Food commodity","Denrée ","Producto alimenticio","title",{"$f":"HLOOKUP($C$2,$B$16:$D63,$A63,FALSE)","v":"Food commodity"},"title48"]
[49,"Food supply (kcal/capita/day)","Disponibilité alimentaire (kcal/personne/jour) ","Suministro de alimentos (kcal/cápita/día)","title",{"$f":"HLOOKUP($C$2,$B$16:$D64,$A64,FALSE)","v":"Food supply (kcal/capita/day)"},"title49"]
[50,"Share in total food supply ","Part de la disponibilité alimentaire totale","Proporción en el suministro total de alimentos","title",{"$f":"HLOOKUP($C$2,$B$16:$D65,$A65,FALSE)","v":"Share in total food supply "},"title50"]
[51,"Subtotal","Sous-total ","Subtotal","title",{"$f":"HLOOKUP($C$2,$B$16:$D66,$A66,FALSE)","v":"Subtotal"},"title51"]
[52,"Total food supply","Disponibilité alimentaire totale ","Suministro total de alimentos","title",{"$f":"HLOOKUP($C$2,$B$16:$D67,$A67,FALSE)","v":"Total food supply"},"title52"]
[53,"<< BACK\nStart  ","<< RETOUR\nDébut ","<< VOLVER\nInicio","label",{"$f":"HLOOKUP($C$2,$B$16:$D68,$A68,FALSE)","v":"<< BACK\nStart  "},"label53"]
[54,"NEXT >>\nNet Trade Position for Key Food Crops","SUIVANT >> \nBilan de la Balance Commerciale pour les principales cultures alimentaires ","SIGUIENTE >>\nPosición Comerical Neta para Cultivos Alimenticios Básicos  ","label",{"$f":"HLOOKUP($C$2,$B$16:$D69,$A69,FALSE)","v":"NEXT >>\nNet Trade Position for Key Food Crops"},"label54"]
[55,"AGRICULTURAL TRADE - KEY COMMODITIES","COMMERCE AGRICOLE - PRINCIPAUX PRODUITS","COMERCIO AGRÍCOLA - PRINCIPALES PRODUCTOS BÁSICOS","title",{"$f":"HLOOKUP($C$2,$B$16:$D70,$A70,FALSE)","v":"AGRICULTURAL TRADE - KEY COMMODITIES"},"title55"]
[56,"Trade commodity","Produits de commerce ","Principales productos de exportación","title",{"$f":"HLOOKUP($C$2,$B$16:$D71,$A71,FALSE)","v":"Trade commodity"},"title56"]
[57,"Export quantity (t)","Quantité  de l’exportation (t) ","Cantidad exportada (t)","title",{"$f":"HLOOKUP($C$2,$B$16:$D72,$A72,FALSE)","v":"Export quantity (t)"},"title57"]
[58,"Export value (1000 US$)","Valeur des exportations                                               (1000 USD) ","Valor de las exportaciones (1000 US$)","title",{"$f":"HLOOKUP($C$2,$B$16:$D73,$A73,FALSE)","v":"Export value (1000 US$)"},"title58"]
[59,"Export unit value (US$/t)","Valeur unitaire des exportations (USD/t)","Valor unitario de exportación (US$/t)","title",{"$f":"HLOOKUP($C$2,$B$16:$D74,$A74,FALSE)","v":"Export unit value (US$/t)"},"title59"]
[60,"Share in total value of exports","Part dans la valeur totale des exportations","Participación en el valor total de las exportaciones","title",{"$f":"HLOOKUP($C$2,$B$16:$D75,$A75,FALSE)","v":"Share in total value of exports"},"title60"]
[61,"Total value of export of agricultural commodities","Valeur totale des exportations de produits agricoles","Valor total de la exportación de productos agrícolas","title",{"$f":"HLOOKUP($C$2,$B$16:$D76,$A76,FALSE)","v":"Total value of export of agricultural commodities"},"title61"]
[62,"Year: ","Année:","Año: ","title",{"$f":"HLOOKUP($C$2,$B$16:$D77,$A77,FALSE)","v":"Year: "},"title62"]
[63,"NET TRADE POSITION FOR KEY FOOD CROPS","Bilan de la Balance Commerciale pour les Principales Cultures Vivrières ","POSICIÓN COMERCIAL NETA DE CULTIVOS ALIMENTARIOS BÁSICOS","title",{"$f":"HLOOKUP($C$2,$B$16:$D78,$A78,FALSE)","v":"NET TRADE POSITION FOR KEY FOOD CROPS"},"title63"]
[64,"<< BACK\nCountry Overview ","<< RETOUR\nAperçu du Pays ","<< VOLVER\n Descripción General del País","label",{"$f":"HLOOKUP($C$2,$B$16:$D79,$A79,FALSE)","v":"<< BACK\nCountry Overview "},"label64"]
[65,"NEXT >> \nEnergy Balance","SUIVANT >> \nBilan Énergétique ","SIGUIENTE >>\nBalance Energético ","label",{"$f":"HLOOKUP($C$2,$B$16:$D80,$A80,FALSE)","v":"NEXT >> \nEnergy Balance"},"label65"]
[66,"Net Trade Position for key food crops in the past 10 years","Bilan de la Balance Commerciale pour les principales cultures vivrières dans les 10 dernières années ","Posición Comercial Neta de los principales cultivos alimentarios en los últimos 10 años","title",{"$f":"HLOOKUP($C$2,$B$16:$D81,$A81,FALSE)","v":"Net Trade Position for key food crops in the past 10 years"},"title66"]
[67,"Net trade position for key food crops ","Bilan de la Balance Commerciale pour les principales cultures vivrières  ","Posición Comercial Neta de los principales cultivos alimentarios ","title",{"$f":"HLOOKUP($C$2,$B$16:$D82,$A82,FALSE)","v":"Net trade position for key food crops "},{"$f":"$E82&$A82","v":"title67"}]
[68,"Net exporter ","Exportateur net  ","Exportador neto ","title",{"$f":"HLOOKUP($C$2,$B$16:$D83,$A83,FALSE)","v":"Net exporter "},"title68"]
[69,"Net importer ","Importateur net  ","Importador neto ","title",{"$f":"HLOOKUP($C$2,$B$16:$D84,$A84,FALSE)","v":"Net importer "},"title69"]
[70,"Net Trade Position for key export crops in the past 10 years","Bilan de la Balance Commerciale pour les produits d'exportation clés dans les 10 dernières années ","Posición Comercial Neta de los Principales Productos de Exportación en los últimos 10 años","title",{"$f":"HLOOKUP($C$2,$B$16:$D85,$A85,FALSE)","v":"Net Trade Position for key export crops in the past 10 years"},"title70"]
[71,"Net trade position for key export commodities ","Bilan de la Balance Commerciale pour les produits d'exportation clés ","Posición Comercial Neta de los Principales Productos de Exportación ","title",{"$f":"HLOOKUP($C$2,$B$16:$D86,$A86,FALSE)","v":"Net trade position for key export commodities "},"title71"]
[72,"Food crop 1","Culture vivrière  1","Cultivo alimentario 1","title",{"$f":"HLOOKUP($C$2,$B$16:$D87,$A87,FALSE)","v":"Food crop 1"},{"$f":"$E87&$A87","v":"title72"}]
[73,"Food crop 4","Culture vivrière  4","Cultivo alimentario 4","title",{"$f":"HLOOKUP($C$2,$B$16:$D88,$A88,FALSE)","v":"Food crop 4"},{"$f":"$E88&$A88","v":"title73"}]
[74,"Food crop 2","Culture vivrière  2","Cultivo alimentario 2","title",{"$f":"HLOOKUP($C$2,$B$16:$D89,$A89,FALSE)","v":"Food crop 2"},"title74"]
[75,"Food crop 5","Culture vivrière  5","Cultivo alimentario 5","title",{"$f":"HLOOKUP($C$2,$B$16:$D90,$A90,FALSE)","v":"Food crop 5"},"title75"]
[76,"Food crop 3","Culture vivrière  3","Cultivo alimentario 3","title",{"$f":"HLOOKUP($C$2,$B$16:$D91,$A91,FALSE)","v":"Food crop 3"},"title76"]
[77,"Export crop 3","Culture d'exportation 3","Cultivo de exportación 3","title",{"$f":"HLOOKUP($C$2,$B$16:$D92,$A92,FALSE)","v":"Export crop 3"},"title77"]
[78,"Production","Production","Producción","title",{"$f":"HLOOKUP($C$2,$B$16:$D93,$A93,FALSE)","v":"Production"},"title78"]
[79,"Import","Import","Importación","title",{"$f":"HLOOKUP($C$2,$B$16:$D94,$A94,FALSE)","v":"Import"},"title79"]
[80,"Stock variation","Variation des stocks","Variación de existencias","title",{"$f":"HLOOKUP($C$2,$B$16:$D95,$A95,FALSE)","v":"Stock variation"},"title80"]
[81,"Export","Export","Exportación","title",{"$f":"HLOOKUP($C$2,$B$16:$D96,$A96,FALSE)","v":"Export"},"title81"]
[82,"Domestic supply ","Disponibilité intérieure","Oferta interna ","title",{"$f":"HLOOKUP($C$2,$B$16:$D97,$A97,FALSE)","v":"Domestic supply "},"title82"]
[83,"NET TRADE POSITION","BILAN DE LA BALANCE COMMERCIALE","POSICIÓN COMERCIAL NETA","title",{"$f":"HLOOKUP($C$2,$B$16:$D98,$A98,FALSE)","v":"NET TRADE POSITION"},"title83"]
[84,"position","bilan","posición","title",{"$f":"HLOOKUP($C$2,$B$16:$D99,$A99,FALSE)","v":"position"},"title84"]
[85,"ENERGY BALANCE","BILAN ENERGETIQUE","BALANCE ENERGÉTICO","title",{"$f":"HLOOKUP($C$2,$B$16:$D100,$A100,FALSE)","v":"ENERGY BALANCE"},"title85"]
[86,"COUNTRY:","PAYS:","País:","title",{"$f":"HLOOKUP($C$2,$B$16:$D101,$A101,FALSE)","v":"COUNTRY:"},"title86"]
[87,"<< BACK\nNet Trade Position ","<< RETOUR \nBilan de la Balance Commerciale ","<< VOLVER \nPosición Comerical Neta","label",{"$f":"HLOOKUP($C$2,$B$16:$D102,$A102,FALSE)","v":"<< BACK\nNet Trade Position "},"label87"]
[88,"NEXT >> \nEnergy Demand ","SUIVANT >> \nDemande d'Énergie ","SIGUIENTE >> \nDemanda de Energía ","label",{"$f":"HLOOKUP($C$2,$B$16:$D103,$A103,FALSE)","v":"NEXT >> \nEnergy Demand "},"label88"]
[89,"Total primary energy supply ","Approvisionnement total en énergie primaire ","Suministro Total de Energía Primaria","title",{"$f":"HLOOKUP($C$2,$B$16:$D104,$A104,FALSE)","v":"Total primary energy supply "},"title89"]
[90,"Final energy consumption","Consommation finale d'énergie ","Consumo Final de Energía","title",{"$f":"HLOOKUP($C$2,$B$16:$D105,$A105,FALSE)","v":"Final energy consumption"},"title90"]
[91,"Final energy consumption by sector","Consommation finale d'énergie par secteur ","Consumo Final de Energía por Sectores","title",{"$f":"HLOOKUP($C$2,$B$16:$D106,$A106,FALSE)","v":"Final energy consumption by sector"},"title91"]
[92,"Simplified aggregated energy balance","Équilibre énergétique global simplifié ","Balance Agregado Simplificado de Energía","title",{"$f":"HLOOKUP($C$2,$B$16:$D107,$A107,FALSE)","v":"Simplified aggregated energy balance"},"title92"]
[93,"Unit:","Unité:","Unidad: ","title",{"$f":"HLOOKUP($C$2,$B$16:$D108,$A108,FALSE)","v":"Unit:"},"title93"]
[94,"Coal and peat","Charbon et tourbe","Carbón y turba","title",{"$f":"HLOOKUP($C$2,$B$16:$D109,$A109,FALSE)","v":"Coal and peat"},"title94"]
[95,"Crude oil","Huile brute","Petróleo crudo","title",{"$f":"HLOOKUP($C$2,$B$16:$D110,$A110,FALSE)","v":"Crude oil"},"title95"]
[96,"Oil products","Produits pétroliers","Derivados de petróleo","title",{"$f":"HLOOKUP($C$2,$B$16:$D111,$A111,FALSE)","v":"Oil products"},"title96"]
[97,"Natural gas","Gaz naturel","Gas natural","title",{"$f":"HLOOKUP($C$2,$B$16:$D112,$A112,FALSE)","v":"Natural gas"},"title97"]
[98,"Nuclear","Nucléaire","Nuclear","title",{"$f":"HLOOKUP($C$2,$B$16:$D113,$A113,FALSE)","v":"Nuclear"},"title98"]
[99,"Hydro","Hydro","Hidro","title",{"$f":"HLOOKUP($C$2,$B$16:$D114,$A114,FALSE)","v":"Hydro"},"title99"]
[100,"Geothermal, \nsolar, etc.","Géothermal, solaire, etc.","Geotérmica, \nsolar, etc.","title",{"$f":"HLOOKUP($C$2,$B$16:$D115,$A115,FALSE)","v":"Geothermal, \nsolar, etc."},"title100"]
[101,"Biofuels and waste","Biocarburants \net \ndéchets","Biocombustibles y residuos","title",{"$f":"HLOOKUP($C$2,$B$16:$D116,$A116,FALSE)","v":"Biofuels and waste"},"title101"]
[102,"Electricity","Électricité","Electricidad","title",{"$f":"HLOOKUP($C$2,$B$16:$D117,$A117,FALSE)","v":"Electricity"},"title102"]
[103,"Heat","Chaleur","Calor","title",{"$f":"HLOOKUP($C$2,$B$16:$D118,$A118,FALSE)","v":"Heat"},"title103"]
[104,"Total","Total","Total","title",{"$f":"HLOOKUP($C$2,$B$16:$D119,$A119,FALSE)","v":"Total"},"title104"]
[105,"Total primary energy supply","Approvisionnement total en énergie primaire","Suministro Total de Energía Primaria","title",{"$f":"HLOOKUP($C$2,$B$16:$D120,$A120,FALSE)","v":"Total primary energy supply"},"title105"]
[106,"Final consumption","Consommation finale","Consumo Final de Energía","title",{"$f":"HLOOKUP($C$2,$B$16:$D121,$A121,FALSE)","v":"Final consumption"},"title106"]
[107,"Industry","Industrie ","Industria","title",{"$f":"HLOOKUP($C$2,$B$16:$D122,$A122,FALSE)","v":"Industry"},"title107"]
[108,"Transport","Transport","Transporte","title",{"$f":"HLOOKUP($C$2,$B$16:$D123,$A123,FALSE)","v":"Transport"},"title108"]
[109,"Residential","Résidentiel ","Residencial","title",{"$f":"HLOOKUP($C$2,$B$16:$D124,$A124,FALSE)","v":"Residential"},"title109"]
[110,"Commercial and public services","Services publics et commerciaux ","Servicios públicos y comerciales","title",{"$f":"HLOOKUP($C$2,$B$16:$D125,$A125,FALSE)","v":"Commercial and public services"},"title110"]
[111,"Agriculture / forestry","Agriculture/sylviculture","Agricultura/silvicultura","title",{"$f":"HLOOKUP($C$2,$B$16:$D126,$A126,FALSE)","v":"Agriculture / forestry"},"title111"]
[112,"Fishing","Pêche ","Pesca","title",{"$f":"HLOOKUP($C$2,$B$16:$D127,$A127,FALSE)","v":"Fishing"},"title112"]
[113,"Non-specified","Non spécifié ","No especificado","title",{"$f":"HLOOKUP($C$2,$B$16:$D128,$A128,FALSE)","v":"Non-specified"},"title113"]
[114,"Non-energy use","Utilisation non-énergétique ","Uso no energético","title",{"$f":"HLOOKUP($C$2,$B$16:$D129,$A129,FALSE)","v":"Non-energy use"},"title114"]
[115,"CURRENT ENERGY DEMAND AT NATIONAL LEVEL","DEMANDE  ACTUELLE D'ÉNERGIE AU NIVEAU NATIONAL ","DEMANDA DE ENERGÍA ACTUAL A NIVEL NACIONAL","title",{"$f":"HLOOKUP($C$2,$B$16:$D130,$A130,FALSE)","v":"CURRENT ENERGY DEMAND AT NATIONAL LEVEL"},"title115"]
[116,"Population","Population","Población","title",{"$f":"HLOOKUP($C$2,$B$16:$D131,$A131,FALSE)","v":"Population"},"title116"]
[117,"Unit","Unité","Unidad","title",{"$f":"HLOOKUP($C$2,$B$16:$D132,$A132,FALSE)","v":"Unit"},"title117"]
[118,"Population - total","Population totale","Población total","title",{"$f":"HLOOKUP($C$2,$B$16:$D133,$A133,FALSE)","v":"Population - total"},"title118"]
[119,"(1000 inhab.)","(1000 hab.)","(1000 hab.)","title",{"$f":"HLOOKUP($C$2,$B$16:$D134,$A134,FALSE)","v":"(1000 inhab.)"},"title119"]
[120,"Rural population ","Population rurale ","Población rural ","title",{"$f":"HLOOKUP($C$2,$B$16:$D135,$A135,FALSE)","v":"Rural population "},"title120"]
[121,"(%)","(%)","(%)","title",{"$f":"HLOOKUP($C$2,$B$16:$D136,$A136,FALSE)","v":"(%)"},"title121"]
[122,"Population density","Densité de population","Densidad de población ","title",{"$f":"HLOOKUP($C$2,$B$16:$D137,$A137,FALSE)","v":"Population density"},"title122"]
[123,"(inhab./km2)","(hab./km2)","(hab./km2)","title",{"$f":"HLOOKUP($C$2,$B$16:$D138,$A138,FALSE)","v":"(inhab./km2)"},"title123"]
[124,"Number of households","Nombre de foyers","Número de hogares","title",{"$f":"HLOOKUP($C$2,$B$16:$D139,$A139,FALSE)","v":"Number of households"},"title124"]
[125,"Urban    ","Urbain","Urbano","title",{"$f":"HLOOKUP($C$2,$B$16:$D140,$A140,FALSE)","v":"Urban    "},"title125"]
[126,"(%) / (number)","(%) / (nombre)","(%) / (número)","title",{"$f":"HLOOKUP($C$2,$B$16:$D141,$A141,FALSE)","v":"(%) / (number)"},"title126"]
[127,"Rural   ","Rural   ","Rural    ","title",{"$f":"HLOOKUP($C$2,$B$16:$D142,$A142,FALSE)","v":"Rural   "},"title127"]
[128,"Energy consumption","Consommation d'énergie","Consumo de energía","title",{"$f":"HLOOKUP($C$2,$B$16:$D143,$A143,FALSE)","v":"Energy consumption"},"title128"]
[129,"Energy use (kt of oil equivalent)","Consommation d'énergie (kt d'équivalent pétrole)","Uso de energía (kt equivalentes de petróleo)","title",{"$f":"HLOOKUP($C$2,$B$16:$D144,$A144,FALSE)","v":"Energy use (kt of oil equivalent)"},"title129"]
[130,"Energy use (kg of oil eq. per capita)","Consommation d'énergie (kg d'éq. pétrole par hab.) ","Uso de energía (kg eq. de petróleo per cápita)","title",{"$f":"HLOOKUP($C$2,$B$16:$D145,$A145,FALSE)","v":"Energy use (kg of oil eq. per capita)"},"title130"]
[131,"GDP per unit of energy use (constant 2011 PPP $ per kg of oil equivalent)","PIB par unité de consommation d'énergie (dollars constants de 2011 PPP par kg d'équivalent pétrole) ","PIB por unidad de uso de energía (PPP$ constantes de 2011 por kg de equivalente de petróleo)","title",{"$f":"HLOOKUP($C$2,$B$16:$D146,$A146,FALSE)","v":"GDP per unit of energy use (constant 2011 PPP $ per kg of oil equivalent)"},{"$f":"$E146&$A146","v":"title131"}]
[132,"Electricity production (GWh)","Production d'électricité (GWh)","Producción de electricidad (GWh)","title",{"$f":"HLOOKUP($C$2,$B$16:$D147,$A147,FALSE)","v":"Electricity production (GWh)"},"title132","ATTENTION! THIS ROW IS EQUAL TO THE ROW CONTAINING TITLE44"]
[133,"Access to electricity (% of population)","Accès à l'électricité (% de la population)","Acceso a la electricidad (% de población)","title",{"$f":"HLOOKUP($C$2,$B$16:$D148,$A148,FALSE)","v":"Access to electricity (% of population)"},"title133"]
[134,"Fuel consumption in transport sector (excluding aviation)","Consommation de carburant dans le secteur des transports (hors aviation) ","Consumo de combustible en el sector del transporte (excluyendo el transporte aéreo)","title",{"$f":"HLOOKUP($C$2,$B$16:$D149,$A149,FALSE)","v":"Fuel consumption in transport sector (excluding aviation)"},"title134"]
[135,"Fossil fuels","Combustibles fossiles ","Combustibles fósiles","title",{"$f":"HLOOKUP($C$2,$B$16:$D150,$A150,FALSE)","v":"Fossil fuels"},"title135"]
[136,"Consumption","Consommation ","Consumo","title",{"$f":"HLOOKUP($C$2,$B$16:$D151,$A151,FALSE)","v":"Consumption"},"title136"]
[137,"Diesel","Diesel","Diésel","title",{"$f":"HLOOKUP($C$2,$B$16:$D152,$A152,FALSE)","v":"Diesel"},"title137"]
[138,"(ML/year)","(ML/année)","(ML/año)","title",{"$f":"HLOOKUP($C$2,$B$16:$D153,$A153,FALSE)","v":"(ML/year)"},"title138"]
[139,"Gasoline","Essence","Gasolina","title",{"$f":"HLOOKUP($C$2,$B$16:$D154,$A154,FALSE)","v":"Gasoline"},"title139"]
[140,"Liquid biofuels","Biocarburants liquides ","Biocombustibles líquidos","title",{"$f":"HLOOKUP($C$2,$B$16:$D155,$A155,FALSE)","v":"Liquid biofuels"},"title140"]
[141,"Biodiesel","Biodiesel","Biodiesel","title",{"$f":"HLOOKUP($C$2,$B$16:$D156,$A156,FALSE)","v":"Biodiesel"},"title141"]
[142,"Ethanol","Ethanol","Etanol","title",{"$f":"HLOOKUP($C$2,$B$16:$D157,$A157,FALSE)","v":"Ethanol"},"title142"]
[143,"Blending mandate (%)","Mandat de mélange (%) ","Mezcla exigida (%)","title",{"$f":"HLOOKUP($C$2,$B$16:$D158,$A158,FALSE)","v":"Blending mandate (%)"},"title143"]
[144,"Target consumption (ML/year)","Consommation de la cible (ML/année)","Consumo objetivo (ML/año)","title",{"$f":"HLOOKUP($C$2,$B$16:$D159,$A159,FALSE)","v":"Target consumption (ML/year)"},"title144"]
[145,"Consumption of liquid biofuels in transport","Consommation de biocarburants liquides dans les transports ","Consumo de biocombustibles líquidos en el transporte ","title",{"$f":"HLOOKUP($C$2,$B$16:$D160,$A160,FALSE)","v":"Consumption of liquid biofuels in transport"},"title145"]
[146,"Current","Actuellement","Actual","title",{"$f":"HLOOKUP($C$2,$B$16:$D161,$A161,FALSE)","v":"Current"},"title146"]
[147,"Target ","Cible ","Objetivo","title",{"$f":"HLOOKUP($C$2,$B$16:$D162,$A162,FALSE)","v":"Target "},"title147"]
[148,"ML","ML","ML","title",{"$f":"HLOOKUP($C$2,$B$16:$D163,$A163,FALSE)","v":"ML"},"title148"]
[149,"Energy consumption in households","Consommation d'énergie dans les ménages","Consumo de energía en los hogares","title",{"$f":"HLOOKUP($C$2,$B$16:$D164,$A164,FALSE)","v":"Energy consumption in households"},"title149"]
[150,"Energy for heating and cooking","Énergie pour le chauffage et la cuisson ","Energía  para calefaccionar y cocinar","title",{"$f":"HLOOKUP($C$2,$B$16:$D165,$A165,FALSE)","v":"Energy for heating and cooking"},"title150"]
[151,"Fuel type         Unit","Type de carburant    Unité","Tipo del combustible Unidad","title",{"$f":"HLOOKUP($C$2,$B$16:$D166,$A166,FALSE)","v":"Fuel type         Unit"},"title151"]
[152,"Rural households","Ménages ruraux ","Hogares rurales","title",{"$f":"HLOOKUP($C$2,$B$16:$D167,$A167,FALSE)","v":"Rural households"},"title152"]
[153,"Price                 (USD)","Prix                 (USD)","Precio               (USD)","title",{"$f":"HLOOKUP($C$2,$B$16:$D168,$A168,FALSE)","v":"Price                 (USD)"},"title153"]
[154,"Consumption (per day)","Consommation  (par jour)","Consumo                               (por día)","title",{"$f":"HLOOKUP($C$2,$B$16:$D169,$A169,FALSE)","v":"Consumption (per day)"},"title154"]
[155,"Urban households","Ménages urbains ","Hogares urbanos","title",{"$f":"HLOOKUP($C$2,$B$16:$D170,$A170,FALSE)","v":"Urban households"},"title155"]
[156,"Briquette","Briquette","Briqueta","title",{"$f":"HLOOKUP($C$2,$B$16:$D171,$A171,FALSE)","v":"Briquette"},"title156"]
[157,"Fuel wood","Bois de chauffage ","Madera combustible","title",{"$f":"HLOOKUP($C$2,$B$16:$D172,$A172,FALSE)","v":"Fuel wood"},"title157"]
[158,"Charcoal","Charbon de bois ","Carbón vegetal","title",{"$f":"HLOOKUP($C$2,$B$16:$D173,$A173,FALSE)","v":"Charcoal"},"title158"]
[159,"Kerosene","Kerosene","Queroseno","title",{"$f":"HLOOKUP($C$2,$B$16:$D174,$A174,FALSE)","v":"Kerosene"},"title159"]
[160,"LPG","GPL","LPG","title",{"$f":"HLOOKUP($C$2,$B$16:$D175,$A175,FALSE)","v":"LPG"},"title160"]
[161,"Fuel oil","Mazout","Aceite combustible","title",{"$f":"HLOOKUP($C$2,$B$16:$D176,$A176,FALSE)","v":"Fuel oil"},"title161"]
[162,"Coal*","Charbon*","Carbón","title",{"$f":"HLOOKUP($C$2,$B$16:$D177,$A177,FALSE)","v":"Coal*"},"title162"]
[163,"Natural gas","Gaz naturel ","Gas natural","title",{"$f":"HLOOKUP($C$2,$B$16:$D178,$A178,FALSE)","v":"Natural gas"},"title163"]
[164,"*house coal, LHV=33 MJ/kg","*maison charbon , LHV=33 MJ/kg","*carbón de casa, LHV=33 MJ/kg","title",{"$f":"HLOOKUP($C$2,$B$16:$D179,$A179,FALSE)","v":"*house coal, LHV=33 MJ/kg"},"title164"]
[165,"MJ/day","MJ / jour","MJ/día","title",{"$f":"HLOOKUP($C$2,$B$16:$D180,$A180,FALSE)","v":"MJ/day"},"title165"]
[166,"Electricity ","Électricité ","Electricidad","title",{"$f":"HLOOKUP($C$2,$B$16:$D181,$A181,FALSE)","v":"Electricity "},"title166"]
[167,"Households with          electricity access ","Ménages ayant accès à l'électricité ","Hogares con acceso a la electricidad","title",{"$f":"HLOOKUP($C$2,$B$16:$D182,$A182,FALSE)","v":"Households with          electricity access "},"title167"]
[168,"(number)","(nombre)","(número)","title",{"$f":"HLOOKUP($C$2,$B$16:$D183,$A183,FALSE)","v":"(number)"},"title168"]
[169,"Electricity consupmtion                 per household","Consommation d'électricité par ménage ","Consumo de electricidad por hogar","title",{"$f":"HLOOKUP($C$2,$B$16:$D184,$A184,FALSE)","v":"Electricity consupmtion                 per household"},"title169"]
[170,"(kWh/day)","(kWh/jour)","(kWh/día)","title",{"$f":"HLOOKUP($C$2,$B$16:$D185,$A185,FALSE)","v":"(kWh/day)"},"title170"]
[171,"(kWh/month)","(kWh/mois)","(kWh/mes)","title",{"$f":"HLOOKUP($C$2,$B$16:$D186,$A186,FALSE)","v":"(kWh/month)"},"title171"]
[172,"Electricity Consumption Calculator-Based on the Household Profile- ","Calculatrice de la consommation d'électricité -sur la base du profil du ménage- ","Calculadora de consumo de electricidad- Basado en el perfil del hogar-  ","label",{"$f":"HLOOKUP($C$2,$B$16:$D187,$A187,FALSE)","v":"Electricity Consumption Calculator-Based on the Household Profile- "},"label172"]
[173,"kg","kg","kg","title",{"$f":"HLOOKUP($C$2,$B$16:$D188,$A188,FALSE)","v":"kg"},"title173"]
[174,"l ","l ","l ","title",{"$f":"HLOOKUP($C$2,$B$16:$D189,$A189,FALSE)","v":"l "},"title174"]
[175,"m3","m3","m3","title",{"$f":"HLOOKUP($C$2,$B$16:$D190,$A190,FALSE)","v":"m3"},"title175"]
[176,"ELECTRICITY CONSUMPTION CALCULATOR","CALCULATEUR DE LA CONSOMMATION D'ÉLECTRICITÉ","CALCULADORA DE CONSUMO DE ELECTRICIDAD","title",{"$f":"HLOOKUP($C$2,$B$16:$D191,$A191,FALSE)","v":"ELECTRICITY CONSUMPTION CALCULATOR"},"title176"]
[177,"<< BACK \nEnergy Demand ","<< RETOUR \nDemande d'Énergie  ","<< VOLVER \nDemanda de Energía ","label",{"$f":"HLOOKUP($C$2,$B$16:$D192,$A192,FALSE)","v":"<< BACK \nEnergy Demand "},"label177"]
[178,"Household profile - rural household","Profil des ménages - les ménages ruraux ","Perfil de los hogares - hogar rural","title",{"$f":"HLOOKUP($C$2,$B$16:$D193,$A193,FALSE)","v":"Household profile - rural household"},"title178"]
[179,"Electrical devices used in an average rural household","Appareils électriques utilisés dans un ménage rural moyen","Dispositivos eléctricos utilizados en un hogar rural promedio","title",{"$f":"HLOOKUP($C$2,$B$16:$D194,$A194,FALSE)","v":"Electrical devices used in an average rural household"},"title179"]
[180,"Standard Capacity (W)","Capacité Standard (W) ","Capacidad estándar (W)","title",{"$f":"HLOOKUP($C$2,$B$16:$D195,$A195,FALSE)","v":"Standard Capacity (W)"},"title180"]
[181,"Duty cycle","Cycle de travail","Ciclo de trabajo","title",{"$f":"HLOOKUP($C$2,$B$16:$D196,$A196,FALSE)","v":"Duty cycle"},"title181"]
[182,"Quantity","Quantité ","Cantidad","title",{"$f":"HLOOKUP($C$2,$B$16:$D197,$A197,FALSE)","v":"Quantity"},"title182"]
[183,"Operating time (h/day)","Temps de fonctionnement (h/jour) ","Tiempo de funcionamiento (h/día)","title",{"$f":"HLOOKUP($C$2,$B$16:$D198,$A198,FALSE)","v":"Operating time (h/day)"},"title183"]
[184,"Monthly use        (days/month)","Utilisation mensuel (jours/mois)","Uso mensual (día/mes)","title",{"$f":"HLOOKUP($C$2,$B$16:$D199,$A199,FALSE)","v":"Monthly use        (days/month)"},"title184"]
[185,"Electricity consumption","Consommation d'électricité","Consumo de electricidad","title",{"$f":"HLOOKUP($C$2,$B$16:$D200,$A200,FALSE)","v":"Electricity consumption"},"title185"]
[186,"TV color 25 inch","TV couleur 25 pouces ","TV color de 25 pulgadas","title",{"$f":"HLOOKUP($C$2,$B$16:$D201,$A201,FALSE)","v":"TV color 25 inch"},"title186"]
[187,"TV color 14 inch","TV couleur 14 pouces ","TV color de 14 pulgadas","title",{"$f":"HLOOKUP($C$2,$B$16:$D202,$A202,FALSE)","v":"TV color 14 inch"},"title187"]
[188,"Computer","Ordinateur","Computador","title",{"$f":"HLOOKUP($C$2,$B$16:$D203,$A203,FALSE)","v":"Computer"},"title188"]
[189,"Fan 16 inch","Fan 16 pouces ","Ventilador de 16 pulgadas","title",{"$f":"HLOOKUP($C$2,$B$16:$D204,$A204,FALSE)","v":"Fan 16 inch"},"title189"]
[190,"Air conditioner (9,000 BTU)","Climatiseur (9,000 BTU)","Aire acondicionado (9,000 BTU)","title",{"$f":"HLOOKUP($C$2,$B$16:$D205,$A205,FALSE)","v":"Air conditioner (9,000 BTU)"},"title190"]
[191,"Electrical iron","Fer électrique ","Plancha eléctrica","title",{"$f":"HLOOKUP($C$2,$B$16:$D206,$A206,FALSE)","v":"Electrical iron"},"title191"]
[192,"Rice cooker","Cuiseur de riz ","Olla arrocera","title",{"$f":"HLOOKUP($C$2,$B$16:$D207,$A207,FALSE)","v":"Rice cooker"},"title192"]
[193,"Microwave","Micro-onde ","Microondas","title",{"$f":"HLOOKUP($C$2,$B$16:$D208,$A208,FALSE)","v":"Microwave"},"title193"]
[194,"Clothes washer 5 kg","Machine à laver 5 kg ","Lavadora de ropa 5 kg","title",{"$f":"HLOOKUP($C$2,$B$16:$D209,$A209,FALSE)","v":"Clothes washer 5 kg"},"title194"]
[195,"Electrical boiler","Chaudière électrique ","Caldera eléctrica","title",{"$f":"HLOOKUP($C$2,$B$16:$D210,$A210,FALSE)","v":"Electrical boiler"},{"$f":"$E210&$A210","v":"title195"}]
[196,"Refrigerator","Réfrigérateur","Refrigerador","title",{"$f":"HLOOKUP($C$2,$B$16:$D211,$A211,FALSE)","v":"Refrigerator"},"title196"]
[197,"Electrical water shower","Douche d'eau électrique ","Ducha de agua eléctrica","title",{"$f":"HLOOKUP($C$2,$B$16:$D212,$A212,FALSE)","v":"Electrical water shower"},"title197"]
[198,"Fluorescent lamp (ceiling T5)","Lampe fluorescente (plafond T5) ","Lámpara fluorescente (T5 techo)","title",{"$f":"HLOOKUP($C$2,$B$16:$D213,$A213,FALSE)","v":"Fluorescent lamp (ceiling T5)"},"title198"]
[199,"Compact fluorescent lamp T5","Lampe fluorescente compacte T5 ","Lámpara fluorescente T5 compacta","title",{"$f":"HLOOKUP($C$2,$B$16:$D214,$A214,FALSE)","v":"Compact fluorescent lamp T5"},"title199"]
[200,"User defined appliance","Appareil définie par l'utilisateur ","Dispositivo definido por el usuario","title",{"$f":"HLOOKUP($C$2,$B$16:$D215,$A215,FALSE)","v":"User defined appliance"},"title200"]
[201,"TOTAL","TOTAL","TOTAL","title",{"$f":"HLOOKUP($C$2,$B$16:$D216,$A216,FALSE)","v":"TOTAL"},"title201"]
[202,"Clear data for rural households ","Effacer les données pour les ménages ruraux  ","Borrar datos para los hogares rurales ","label",{"$f":"HLOOKUP($C$2,$B$16:$D217,$A217,FALSE)","v":"Clear data for rural households "},"label202"]
[203,"Clear data for urban households ","Effacer les données pour les ménages urbains","Borrar datos para los hogares urbanos","label",{"$f":"HLOOKUP($C$2,$B$16:$D218,$A218,FALSE)","v":"Clear data for urban households "},"label203"]
[204,"Clear all data ","Effacer toutes les données ","Borrar todos los datos","label",{"$f":"HLOOKUP($C$2,$B$16:$D219,$A219,FALSE)","v":"Clear all data "},"label204"]
[205,"(t)","(t)","(t)","title",{"$f":"HLOOKUP($C$2,$B$16:$D220,$A220,FALSE)","v":"(t)"},"title205"]
[206,"%","%","%","title",{"$f":"HLOOKUP($C$2,$B$16:$D221,$A221,FALSE)","v":"%"},"title206"]
[207,"Fuel type","Type de carburant","Tipo del combustible","title",{"$f":"HLOOKUP($C$2,$B$16:$D222,$A222,FALSE)","v":"Fuel type"},"title207"]
[208,"Conversion factor (MJ per unit)",null,null,"title",{"$f":"HLOOKUP($C$2,$B$16:$D223,$A223,FALSE)","v":"Conversion factor (MJ per unit)"},"title208"]
[209,"kWh/day","kWh/jour","kWh/día","title",{"$f":"HLOOKUP($C$2,$B$16:$D224,$A224,FALSE)","v":"kWh/day"},"title209"]
[210,"kWh/month","kWh/mois","kWh/mes","title",{"$f":"HLOOKUP($C$2,$B$16:$D225,$A225,FALSE)","v":"kWh/month"},"title210"]
[211,"Household profile - urban household","Profil des ménages - les ménages urbains","Perfil de los hogares - hogares urbanos","title",{"$f":"HLOOKUP($C$2,$B$16:$D226,$A226,FALSE)","v":"Household profile - urban household"},"title211"]
[212,"Select","Sélectionnez","Seleccione","title",{"$f":"HLOOKUP($C$2,$B$16:$D227,$A227,FALSE)","v":"Select"},{"$f":"$E227&$A227","v":"title212"}]
[213,"the country","Pays","el país","title",{"$f":"HLOOKUP($C$2,$B$16:$D228,$A228,FALSE)","v":"the country"},"title213"]
[214,"Region:","Region:","Región:","title",{"$f":"HLOOKUP($C$2,$B$16:$D229,$A229,FALSE)","v":"Region:"},"title214"]
[215,"Province:","Province:","Provincia:","title",{"$f":"HLOOKUP($C$2,$B$16:$D230,$A230,FALSE)","v":"Province:"},"title215"]
[216,"District:","District:","Distrito:","title",{"$f":"HLOOKUP($C$2,$B$16:$D231,$A231,FALSE)","v":"District:"},"title216"]
[217,"Area:","Area:","Area:","title",{"$f":"HLOOKUP($C$2,$B$16:$D232,$A232,FALSE)","v":"Area:"},"title217"]
[218,"Other:","Autre:","Otros:","title",{"$f":"HLOOKUP($C$2,$B$16:$D233,$A233,FALSE)","v":"Other:"},"title218"]
[219,"<< BACK\nEnergy Balance","<< RETOUR\nBilan Énergétique ","<< VOLVER \nBalance Energético ","label",{"$f":"HLOOKUP($C$2,$B$16:$D234,$A234,FALSE)","v":"<< BACK\nEnergy Balance"},"label219"]
[220,"The Country Status Module","Le Module Situation du Pays ","Módulo Situación Actual del País ","title",{"$f":"HLOOKUP($C$2,$B$16:$D235,$A235,FALSE)","v":"The Country Status Module"},"title220"]
[221,"is used to depict the current agriculture, food security and energy status of the country. \n\nFood security is prioritized by allowing the user to determine the key foodstuffs and the country’s net trade position with respect to the top key crops. These indicators will ensure that from the outset, the user can safeguard food supplies.\n\nThe other agriculture indicators presented are the contribution of agriculture to GDP, thus showing how important the agricultural sector is for the country, and the identification of the key commodities. \n\nWith respect to energy, the current situation related to demand and supply is presented. Subsequently, the current energy consumption at household level and for the transport sector are illustrated. This allows the user to understand how bioenergy is being used and for which purpose, and how it could contribute to improve energy access.\n\nThe following figure shows the overall structure of the Country Status Module, which includes four sheets: Country  Overview, Net Trade Position for Key Food Crops, Energy Balance and Energy Demand.","est utilisé pour décrire la situation actuelle de l'agriculture, la sécurité alimentaire et l'état du secteur de l'énergie du pays. \n\nLa sécurité alimentaire est accordée en priorité lorsque l’utilisateur détermine les principales denrées alimentaires ainsi que la balance commerciale nette du pays à l’égard de ces cultures. Ces indicateurs permettront d’assurer, que dès le début, l’utilisateur pourra garantir et sécuriser l’approvisionnement alimentaire. \n\nLes autres indicateurs présentés sont la contribution de l'agriculture au PIB, montrant ainsi l'importance du secteur agricole pour le pays en question, et l'identification des principaux produits . \n\nEn ce qui concerne l'énergie, la situation actuelle de la demande et de l'offre est présentée. Ensuite, la consommation actuelle d'énergie au niveau des ménages et le secteur des transports sont illustrés. Cela permet à l'utilisateur de comprendre comment la bioénergie est utilisée et dans quel but , et comment il pourrait contribuer à améliorer l'accès à l'énergie. \n\nLa figure suivante montre la structure globale du module Situation du Pays, qui comprend quatre feuilles: Aperçu du Pays, Le bilan de la balance commerciale pour les Principales Cultures Vivrières, Balance d’Énergie et Demande d’Énergie. ","se utiliza para representar la situación actual agropecuaria, la seguridad alimentaria y la situación energética del país.  \n\nSe presta especial atención a la seguridad alimentaria, por lo que el usuario puede determinar los principales productos alimenticios y la posición comercial neta del país con respecto a los cultivos principales.\n\nLos otros indicadores que se presentan son la contribución de la agricultura al PIB, mostrando así la importancia que el sector agrícola tiene en el país, y la identificación de los principales productos básicos. \n\nCon respecto a la energía, se presenta la situación actual con relación a la demanda y a la oferta. Posteriormente, se ilustra también, el consumo actual de energía en los hogares y en el sector del transporte. Esto permite al usuario entender cómo se está utilizando la bioenergía y para qué propósito y cómo se podría contribuir a mejorar el acceso a la energía. \n\nLa siguiente figura muestra la estructura general del Módulo Situación Actual del País, la cual incluye cuatro hojas de Excel: Descripción General del País, Posición Comercial Neta de los Cultivos Alimentarios Básicos, Balance Energético y Demanda de Energía. ","title",{"$f":"HLOOKUP($C$2,$B$16:$D236,$A236,FALSE)","v":"is used to depict the current agriculture, food security and energy status of the country. \n\nFood security is prioritized by allowing the user to determine the key foodstuffs and the country’s net trade position with respect to the top key crops. These indicators will ensure that from the outset, the user can safeguard food supplies.\n\nThe other agriculture indicators presented are the contribution of agriculture to GDP, thus showing how important the agricultural sector is for the country, and the identification of the key commodities. \n\nWith respect to energy, the current situation related to demand and supply is presented. Subsequently, the current energy consumption at household level and for the transport sector are illustrated. This allows the user to understand how bioenergy is being used and for which purpose, and how it could contribute to improve energy access.\n\nThe following figure shows the overall structure of the Country Status Module, which includes four sheets: Country  Overview, Net Trade Position for Key Food Crops, Energy Balance and Energy Demand."},"title221"]
[222,"COUNTRY STATUS MODULE","MODULE SITUATION DU PAYS","MÓDULO SITUACIÓN ACTUAL DEL PAÍS ","title",{"$f":"HLOOKUP($C$2,$B$16:$D237,$A237,FALSE)","v":"COUNTRY STATUS MODULE"},"title222"]
[223,"Country Overview","Aperçu du Pays","Descripción General del País ","title",{"$f":"HLOOKUP($C$2,$B$16:$D238,$A238,FALSE)","v":"Country Overview"},"title223"]
[224,"Food Security Indicators","Indicateurs de Sécurité Alimentaire","Indicadores de Seguridad Alimentaria ","title",{"$f":"HLOOKUP($C$2,$B$16:$D239,$A239,FALSE)","v":"Food Security Indicators"},"title224"]
[225,"General Information, Land Cover, Socio-Economic Indicators","Informations Générales Couverture Végétale, Indicateurs Socio-Économiques","Información General, Copertura Terrestre, Indicadores Socio-económicos\n","title",{"$f":"HLOOKUP($C$2,$B$16:$D240,$A240,FALSE)","v":"General Information, Land Cover, Socio-Economic Indicators"},"title225"]
[226,"Energy Use Indicators","Indicateurs de Consommation d'Énergie","Indicadores de Uso de Energía ","title",{"$f":"HLOOKUP($C$2,$B$16:$D241,$A241,FALSE)","v":"Energy Use Indicators"},"title226"]
[227,"Agricultural Trade","Commerce Agricole","Comercio Agrícola ","title",{"$f":"HLOOKUP($C$2,$B$16:$D242,$A242,FALSE)","v":"Agricultural Trade"},"title227"]
[228,"Energy Demand and Supply","Offre et Demande d'Énergie","Demanda y Oferta de Energía ","title",{"$f":"HLOOKUP($C$2,$B$16:$D243,$A243,FALSE)","v":"Energy Demand and Supply"},"title228"]
[229,"Net Trade Position for key food crops","Bilan de la Balance Commerciale pour les Principales Cultures Vivrières","Posición Comercial Neta para  Cultivos Alimentarios Básicos\n","title",{"$f":"HLOOKUP($C$2,$B$16:$D244,$A244,FALSE)","v":"Net Trade Position for key food crops"},"title229"]
[230,"Net trade position for key export commodities ","Bilan de la Balance Commerciale pour les Produits clés d'Exportation de Base","Posición Comercial Neta para  Productos de Exportación Básicos\n","title",{"$f":"HLOOKUP($C$2,$B$16:$D245,$A245,FALSE)","v":"Net trade position for key export commodities "},"title230"]
[231,"Simplified Energy Balance","Bilan Énergétique Simplifié","Balance Energético  Simplificado\n","title",{"$f":"HLOOKUP($C$2,$B$16:$D246,$A246,FALSE)","v":"Simplified Energy Balance"},"title231"]
[232,"Energy Demand","Demande  d'Énergie ","Demanda Energética ","title",{"$f":"HLOOKUP($C$2,$B$16:$D247,$A247,FALSE)","v":"Energy Demand"},"title232"]
[233,"NATURAL RESOURCES MODULE","MODULE RESSOURCES NATURELLES ","MÓDULO RECURSOS NATURALES ","title",{"$f":"HLOOKUP($C$2,$B$16:$D248,$A248,FALSE)","v":"NATURAL RESOURCES MODULE"},"title233"]
[234,"ENERGY END USE OPTIONS MODULE","MODULE OPTIONS D'UTILITASION FINALE D'ÉNERGIE ","MÓDULO OPCIONES DE USO FINAL DE LA ENERGÍA ","title",{"$f":"HLOOKUP($C$2,$B$16:$D249,$A249,FALSE)","v":"ENERGY END USE OPTIONS MODULE"},"title234"]
[235,"The following sheets contain databases. Refer to the manual for their description.","Les feuilles suivantes contiennent des bases de données. Reportez-vous au manuel pour leur description.","Las siguientes hojas contienen las bases de datos. Consulte el manual para obtener su descripción.","title",{"$f":"HLOOKUP($C$2,$B$16:$D250,$A250,FALSE)","v":"The following sheets contain databases. Refer to the manual for their description."},"title235"]
[236,"year","an","año","title",{"$f":"HLOOKUP($C$2,$B$16:$D251,$A251,FALSE)","v":"year"},"title236"]
[237,"Select the country","Sélectionnez le pays","Seleccione el país","title",{"$f":"HLOOKUP($C$2,$B$16:$D252,$A252,FALSE)","v":"Select the country"},"title237"]
[238,"Pellets","Granulés de Bois ","Pellets","title",{"$f":"HLOOKUP($C$2,$B$16:$D253,$A253,FALSE)","v":"Pellets"},{"$f":"$E253&$A253","v":"title238"}]
[239,"Blending mandate (%)","Mandat de mélange (%) ","Mezcla exigida (%)","title",{"$f":"HLOOKUP($C$2,$B$16:$D254,$A254,FALSE)","v":"Blending mandate (%)"},{"$f":"$E254&$A254","v":"title239"}]
[240,"Target consumption (ML/year)","Consommation de la cible (ML/année)","Consumo objetivo (ML/año)","title",{"$f":"HLOOKUP($C$2,$B$16:$D255,$A255,FALSE)","v":"Target consumption (ML/year)"},"title240"]
[241,"Consumption of liquid biofuels in transport","Consommation de biocarburants liquides dans les transports","Consumo de biocombustibles líquidos en el transporte","title",{"$f":"HLOOKUP($C$2,$B$16:$D256,$A256,FALSE)","v":"Consumption of liquid biofuels in transport"},"title241"]
[242,"Energy consumption in households","Consommation d'énergie dans les ménages ","Consumo de energía en los hogares","title",{"$f":"HLOOKUP($C$2,$B$16:$D257,$A257,FALSE)","v":"Energy consumption in households"},"title242"]
[243,"Select a country","Sélectionner un pays","Seleccione un país","title",{"$f":"HLOOKUP($C$2,$B$16:$D258,$A258,FALSE)","v":"Select a country"},"title243"]
[244,"n/a","n/d","n/d","title",{"$f":"HLOOKUP($C$2,$B$16:$D259,$A259,FALSE)","v":"n/a"},"title244"]
[245,"GDP per capita (constant 2010 US$)","PIB par habitant  ($ US constants de 2010)"," PIB per cápita (US$ a precios constantes de 2010)","title",{"$f":"HLOOKUP($C$2,$B$16:$D260,$A260,FALSE)","v":"GDP per capita (constant 2010 US$)"},"title245"]
[246,"Inflation, consumer prices (annual %)","Inflation (% annuel)"," Inflación, precios al consumidor (% anual)","title",{"$f":"HLOOKUP($C$2,$B$16:$D261,$A261,FALSE)","v":"Inflation, consumer prices (annual %)"},"title246"]
[247,"Livestock, value added (% of Agricultural Value Added)","Elevage, valeur ajoutée (% de la valeur ajoutée agricole)","Ganadería, valor agregado (% del valor agregado agrícola)","title",{"$f":"HLOOKUP($C$2,$B$16:$D262,$A262,FALSE)","v":"Livestock, value added (% of Agricultural Value Added)"},"title247"]
[248,"ECONOMIC AND AGRICULTURAL INDICATORS","INDICATEURS ÉCONOMIQUES ET AGRICOLES","INDICADORES ECONOMICOS Y DE AGRICULTURA","title",{"$f":"HLOOKUP($C$2,$B$16:$D263,$A263,FALSE)","v":"ECONOMIC AND AGRICULTURAL INDICATORS"},"title248"]
[249,"LAND AND LIVESTOCK","UTILISATION DES TERRES ET ÉLEVAGE","TIERRA Y GANADERIA","title",{"$f":"HLOOKUP($C$2,$B$16:$D264,$A264,FALSE)","v":"LAND AND LIVESTOCK"},"title249"]
[250,"ENERGY USE AND POVERTY","CONSOMMATION D'ÉNERGIE ET PAUVRETÉ","USO DE ENERGIA Y PROBREZA","title",{"$f":"HLOOKUP($C$2,$B$16:$D265,$A265,FALSE)","v":"ENERGY USE AND POVERTY"},"title250"]
[251,"Annual freshwater withdrawals, agriculture (% of total freshwater withdrawal)","Prélèvements d'eau douce, agriculture (% du total des prélèvements d'eau douce)","Extracción anual de agua dulce para uso agrícola (% del total de extracción de agua dulce)","title",{"$f":"HLOOKUP($C$2,$B$16:$D266,$A266,FALSE)","v":"Annual freshwater withdrawals, agriculture (% of total freshwater withdrawal)"},"title251"]
[252,"Long-term average precipitation (mm/year)","Précipitations annuelles moyennes à long terme (mm/an)","Precipitación promedio a largo plazo (mm/año)","title",{"$f":"HLOOKUP($C$2,$B$16:$D267,$A267,FALSE)","v":"Long-term average precipitation (mm/year)"},"title252"]
[253,"Total internal renewable water resources (10^9 m3/year)","Total des ressources internes renouvelables en eau (10^9 m3/an)","Total interno de recursos de agua renovables (10 ^ 9 m3 / año)","title",{"$f":"HLOOKUP($C$2,$B$16:$D268,$A268,FALSE)","v":"Total internal renewable water resources (10^9 m3/year)"},"title253"]
[254,"WATER","EAU","AGUA","title",{"$f":"HLOOKUP($C$2,$B$16:$D269,$A269,FALSE)","v":"WATER"},"title254"]
[255,"Total area equipped for irrigation (1000 ha)","Superficie totale équipée pour l'irrigation (1000 ha)","Total área equipada para irrigación (1000 ha)","title",{"$f":"HLOOKUP($C$2,$B$16:$D270,$A270,FALSE)","v":"Total area equipped for irrigation (1000 ha)"},"title255"]
[256,"Total final energy consumption (TFEC) (TJ) ","Consommation totale d'énergie finale (CEF) (TJ)","Consumo total de energía final (CEF) (TJ)","title",{"$f":"HLOOKUP($C$2,$B$16:$D271,$A271,FALSE)","v":"Total final energy consumption (TFEC) (TJ) "},"title256"]
[257,"Renewable energy share of TFEC (%)","Part des énergies renouvelables dans la consommation totale d'énergie finale (%)","Cuota de energía renovable en el consumo total de energía final (%)","title",{"$f":"HLOOKUP($C$2,$B$16:$D272,$A272,FALSE)","v":"Renewable energy share of TFEC (%)"},"title257"]
[258,"Total electricity output (GWh) ","Production totale d'électricité (GWh) ","Producción total de electricidad (GWh) ","title",{"$f":"HLOOKUP($C$2,$B$16:$D273,$A273,FALSE)","v":"Total electricity output (GWh) "},"title258"]
[259,"Renewable electricity output (% of total electricity output)","Production d'électricité renouvelable (% de la production totale d'électricité)","Producción de electricidad renovable (% de la producción total de electricidad)","title",{"$f":"HLOOKUP($C$2,$B$16:$D274,$A274,FALSE)","v":"Renewable electricity output (% of total electricity output)"},"title259"]
[260,"Mitigation Summary","Résumé de(s) objectif(s) d'atténuation","Resumen de mitigacion","title",{"$f":"HLOOKUP($C$2,$B$16:$D275,$A275,FALSE)","v":"Mitigation Summary"},"title260"]
[261,"LSUs per 100 people, total population (LSU)","Unités d'élevage pour 100 personnes, population totale (LSU)","Unidades de ganado por cada 100 personas, población total","title",{"$f":"HLOOKUP($C$2,$B$16:$D276,$A276,FALSE)","v":"LSUs per 100 people, total population (LSU)"},"title261"]
[262,"Crop Item","Produit","Producto","title",{"$f":"HLOOKUP($C$2,$B$16:$D277,$A277,FALSE)","v":"Crop Item"},"title262"]
[263,"Production Quantity (tonnes)","Production (tonnes)","Producción (toneladas)","title",{"$f":"HLOOKUP($C$2,$B$16:$D278,$A278,FALSE)","v":"Production Quantity (tonnes)"},"title263"]
[264,"Area harvested (ha)","Superficie récoltée (ha)","Área cosechada (ha)","title",{"$f":"HLOOKUP($C$2,$B$16:$D279,$A279,FALSE)","v":"Area harvested (ha)"},"title264"]
[265,"Yield (hg/ha)","Rendement (hg/ha)","Rendimiento (hg/ha)","title",{"$f":"HLOOKUP($C$2,$B$16:$D280,$A280,FALSE)","v":"Yield (hg/ha)"},"title265"]
[266,"Access to clean fuels and technologies for cooking (% of population)","Accès aux combustibles et technologies propres pour la cuisson (% de la population)","Acceso a combustibles y tecnologías limpias para cocinar (% de la población)","title",{"$f":"HLOOKUP($C$2,$B$16:$D281,$A281,FALSE)","v":"Access to clean fuels and technologies for cooking (% of population)"},"title266"]
[267,"Access to electricity, rural (% of rural population)","Accès à l'électricité, en milieu rural (% de la population rurale)","Acceso a la electricidad, rural (% de la población rural)","title",{"$f":"HLOOKUP($C$2,$B$16:$D282,$A282,FALSE)","v":"Access to electricity, rural (% of rural population)"},"title267"]
[268,"Access to electricity, urban (% of urban population)","Accès à l'électricité, en milieu urbain (% de la population urbaine)","Acceso a la electricidad, urbano (% de la población urbana)","title",{"$f":"HLOOKUP($C$2,$B$16:$D283,$A283,FALSE)","v":"Access to electricity, urban (% of urban population)"},"title268"]
[269,"Freshwater withdrawal as a proportion of available freshwater resources (%)","Prélèvement d'eau douce par rapport aux ressources en eau douce disponibles (%)","Extracción de agua dulce en proporción a los recursos de agua dulce disponibles (%)","title",{"$f":"HLOOKUP($C$2,$B$16:$D284,$A284,FALSE)","v":"Freshwater withdrawal as a proportion of available freshwater resources (%)"},"title269"]
[270,"Energy intensity level of primary energy (MJ/$2011 PPP GDP)","Niveau d'intensité énergétique de l'énergie primaire (MJ/$2011 PPA PIB)","Nivel de intensidad energética de la energía primaria (MJ/$2011 PPA PIB)","title",{"$f":"HLOOKUP($C$2,$B$16:$D285,$A285,FALSE)","v":"Energy intensity level of primary energy (MJ/$2011 PPP GDP)"},"title270"]
[271,"Energy Consumption Indicators","Indicateurs de consommation d'énergie","Indicadores de consumo de energía","title",{"$f":"HLOOKUP($C$2,$B$16:$D286,$A286,FALSE)","v":"Energy Consumption Indicators"},"title271"]