IBRD(国際復興開発銀行：通称世界銀行)による北朝鮮のデータ一覧です。ＣＩＡによるThe World Fact Bookとともに基礎資料としました

（ご注意）
�@このページで、北朝鮮の2000年以降の全データを指定して得た結果の数字です。ボリュームがあるため、ほぼパソコン専用ページです。
�A青字・太字は、私が勝手につけました

Series Name	2000 [YR2000]	2001 [YR2001]	2002 [YR2002]	2003 [YR2003]	2004 [YR2004]	2005 [YR2005]	2006 [YR2006]	2007 [YR2007]	2008 [YR2008]	2009 [YR2009]	2010 [YR2010]	2011 [YR2011]	2012 [YR2012]	2013 [YR2013]	2014 [YR2014]	2015 [YR2015]	2016 [YR2016]
Access to clean fuels and technologies for cooking  (% of population)	2.912247181	3.303325176	3.658020496	3.974020481	4.259729385	4.523801804	4.7739923	5.018895864	5.255818367	5.489754677	5.721008778	5.949872732	6.176650524	6.401640177	6.625133753	..	..
Access to electricity (% of population)	16.32603836	17.45236397	18.57144356	19.68717766	20.80346489	21.92420197	23.05329132	24.19368935	25.34458542	26	27.67087746	28.84277153	30.0181675	31.1953125	32.37274933	..	..
Adjusted net enrollment rate, primary (% of primary school age children)	..	..	..	..	..	..	..	..	..	96.97313	..	..	..	..	..	96.45025	..
Adjusted net enrollment rate, primary, female (% of primary school age children)	..	..	..	..	..	..	..	..	..	97.01377	..	..	..	..	..	96.70997	..
Adjusted net enrollment rate, primary, male (% of primary school age children)	..	..	..	..	..	..	..	..	..	96.93442	..	..	..	..	..	96.20108	..
Adjusted savings: carbon dioxide damage (current US$)	522380888.7	560123401.3	551036269.5	581095679.8	617328585.6	672866082.9	713863032	616306405.4	704593960.9	691196637.7	681284300.7	713183603.7	..	..	..	..	..
Adjusted savings: energy depletion (current US$)	25643931.78	161113262.2	33565475.03	48634001.77	559227385.2	414336345.5	429855527.7	607486146.6	1650706646	447176439.7	909664916.5	1744128072	945412506.4	14140552.61	..	..	..
Adjusted savings: mineral depletion (current US$)	4632903.225	4351108.372	6412673.99	8862869.389	20342916.54	34006880.77	156905123.8	184792137.3	162852231	104869613.6	147193132.4	221151088.5	214914896.6	235469613.5	207327776.8	146578908.2	..
Adjusted savings: net forest depletion (current US$)	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	..
Adolescent fertility rate (births per 1,000 women ages 15-19)	1.0768	1.0204	0.964	0.8994	0.8348	0.7702	0.7056	0.641	0.6404	0.6398	0.6392	0.6386	0.638	0.5994	0.5608	0.5222	..
Adolescents out of school (% of lower secondary school age)	..	..	..	..	..	..	..	..	..	0.06099	..	..	..	..	..	4.69371	..
Adolescents out of school, female (% of female lower secondary school age)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	4.3978	..
Adolescents out of school, male (% of male lower secondary school age)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	4.97754	..
Adults (ages 15+) and children (ages 0-14) newly infected with HIV	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Age dependency ratio (% of working-age population)	46.92676401	46.92906719	47.10439193	47.34910244	47.4769983	47.39992132	47.36641196	47.09882413	46.67319211	46.23442167	45.86540545	45.54837985	45.38621262	45.24405269	44.9135612	44.31443847	..
Age dependency ratio, old (% of working-age population)	8.695717061	9.127077088	9.591009846	10.06597011	10.52722039	10.9632469	11.41477343	11.82035576	12.18129936	12.50685067	12.80359843	13.14448582	13.47575887	13.73832144	13.84594611	13.76678713	..
Age dependency ratio, young (% of working-age population)	38.23104695	37.80199011	37.51338208	37.28313233	36.94977791	36.43667442	35.95163853	35.27846837	34.49189275	33.727571	33.06180702	32.40389403	31.91045375	31.50573125	31.06761509	30.54765133	..
Agricultural land (% of land area)	21.17764305	21.17764305	21.17764305	21.17764305	21.17764305	21.59289096	21.59289096	21.59289096	22.00813886	22.17423802	22.2572876	21.8420397	21.8420397	21.8420397	21.8420397	..	..
Agricultural land (sq. km)	25500	25500	25500	25500	25500	26000	26000	26000	26500	26700	26800	26300	26300	26300	26300	..	..
Agricultural methane emissions (% of total)	22.65680424	23.27806584	24.16064627	23.78399685	23.03126387	22.16750621	22.11517323	24.05811403	23.30111754	..	..	..	..	..	..	..	..
Agricultural methane emissions (thousand metric tons of CO2 equivalent)	3924.996795	4144.845848	4223.256808	4236.215247	4221.999168	4278.461704	4299.631979	4331.254444	4358.310928	..	..	..	..	..	..	..	..
Agricultural nitrous oxide emissions (% of total)	59.80534527	63.0882262	65.11113388	65.00310593	64.2023043	63.29948044	65.26825447	67.68066071	66.76600403	..	..	..	..	..	..	..	..
Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)	2046.370264	2150.780465	2078.473709	2089.755601	2110.065871	2130.118035	2156.93567	2168.260962	2187.493982	..	..	..	..	..	..	..	..
Air transport, freight (million ton-km)	1.758	1.565	1.737	1.824	2.134	2.198	2.286	2.423	2.292	1.989	1.619251323	1.364803735	2.786236959	3.039168	1.90644	1.57471944	..
Air transport, passengers carried	82953	78805	84321	75046	93808	101313	105366	110634	108974	101237	73052	78558.86155	100113.3486	371004	232728	223418.88	..
Air transport, registered carrier departures worldwide	1332	1305	1396	1354	1652	1768	1839	1949	1986	1865	725	732	890	3576	3900	3759.6	..
Alternative and nuclear energy (% of total energy use)	4.448976147	4.475329476	4.668001121	5.032338587	5.2445827	5.293212322	5.036369266	6.238829481	5.997995525	5.396963212	6.095484893	8.10953125	8.144437567	11.0193518	9.386154717	..	..
Annual freshwater withdrawals, agriculture (% of total freshwater withdrawal)	..	..	..	..	..	..	..	76.35	..	..	..	..	..	..	76.35	..	..
Annual freshwater withdrawals, domestic (% of total freshwater withdrawal)	..	..	..	..	..	..	..	10.43	..	..	..	..	..	..	10.43	..	..
Annual freshwater withdrawals, industry (% of total freshwater withdrawal)	..	..	..	..	..	..	..	13.22	..	..	..	..	..	..	13.22	..	..
Annual freshwater withdrawals, total (% of internal resources)	..	..	..	..	..	..	..	12.92238806	..	..	..	..	..	..	12.92238806	..	..
Annual freshwater withdrawals, total (billion cubic meters)	..	..	..	..	..	..	..	8.658	..	..	..	..	..	..	8.658	..	..
Aquaculture production (metric tons)	467700	507995	507995	507995	508005	508075	508080	508150	508250	508350	508350	508350	508350	508350	508450	..	..
Arable land (% of land area)	19.10140354	19.10140354	19.10140354	19.10140354	19.10140354	19.51665144	19.51665144	19.51665144	19.93189934	19.93189934	19.93189934	19.51665144	19.51665144	19.51665144	19.51665144	..	..
Arable land (hectares per person)	0.100699564	0.099811482	0.098933016	0.098084483	0.097295622	0.098684249	0.098039637	0.097462067	0.098994264	0.098474442	0.097957161	0.095406835	0.094898296	0.094393792	0.093899445	..	..
Arable land (hectares)	2300000	2300000	2300000	2300000	2300000	2350000	2350000	2350000	2400000	2400000	2400000	2350000	2350000	2350000	2350000	..	..
Armed forces personnel (% of total labor force)	8.907919183	9.01175378	8.935382561	8.863899187	8.964255395	8.886717953	8.82116715	8.751452268	8.670067833	9.141008979	9.076534072	9.010203942	8.94362494	8.884348715	8.821118589	8.745620531	..
Armed forces personnel, total	1244000	1271000	1271000	1271000	1295000	1295000	1295000	1295000	1295000	1379000	1379000	1379000	1379000	1379000	1379000	1379000	..
Arms exports (SIPRI trend indicator values)	58000000	73000000	162000000	134000000	47000000	20000000	20000000	20000000	20000000	20000000	..	..	..	..	1000000	..	..
Arms imports (SIPRI trend indicator values)	18000000	28000000	9000000	8000000	8000000	5000000	15000000	5000000	5000000	4000000	1000000	..	..	..	..	..	..
Average precipitation in depth (mm per year)	..	..	1054	..	..	..	..	1054	..	..	..	..	1054	..	1054	..	..
Birth rate, crude (per 1,000 people)	17.904	17.414	16.92	16.431	15.961	15.532	15.166	14.87	14.648	14.498	14.411	14.374	14.363	14.358	14.349	14.326	..
Capture fisheries production (metric tons)	212850	206500	205000	205000	205000	205000	205000	205000	205000	207000	217500	219000	213500	209000	226000	..	..
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions (% of total)	31.7	..	..	..	..	10.3	..	..	..	..	11.3	..	..	..	..	11.9	..
Cause of death, by injury (% of total)	8.3	..	..	..	..	9.3	..	..	..	..	8.2	..	..	..	..	7.1	..
Cause of death, by non-communicable diseases (% of total)	60	..	..	..	..	80.4	..	..	..	..	80.5	..	..	..	..	81	..
Cereal production (metric tons)	2942000	3879704	4211000	4393000	4485000	4645400	4675500	3892500	4680560	4437836	4514732	4693844	5193541	5197096	5240740	..	..
Cereal yield (kg per hectare)	2375.4	3015.7	3190.8	3250.4	3430.3	3368.5	3544.7	2922.5	3556.4	3365.7	3424.5	3585.8	3921.1	3977.9	4149	..	..
Children out of school (% of primary school age)	..	..	..	..	..	..	..	..	..	3.02687	..	..	..	..	..	3.54975	..
Children out of school, female (% of female primary school age)	..	..	..	..	..	..	..	..	..	2.98623	..	..	..	..	..	3.29003	..
Children out of school, male (% of male primary school age)	..	..	..	..	..	..	..	..	..	3.06558	..	..	..	..	..	3.79892	..
Children out of school, primary	..	..	..	..	..	..	..	..	..	46911	..	..	..	..	..	62722	..
Children out of school, primary, female	..	..	..	..	..	..	..	..	..	22579	..	..	..	..	..	28463	..
Children out of school, primary, male	..	..	..	..	..	..	..	..	..	24332	..	..	..	..	..	34259	..
CO2 emissions (kt)	69661.999	72225.232	69229.293	70751.098	72357.244	75573.203	76900.657	64227.505	71132.466	70677.758	66600.054	48133.042	49112.131	50091.22	..	..	..
CO2 emissions (metric tons per capita)	3.049970845	3.134307589	2.977853371	3.017210799	3.060888277	3.173567999	3.208218083	2.663721446	2.934044206	2.89998033	2.71831341	1.954136676	1.983258527	2.012042639	..	..	..
CO2 emissions from electricity and heat production, total (% of total fuel combustion)	16.55231561	16.66436178	16.66425366	16.51779385	16.4932723	16.24850657	15.98066118	16.31104789	16.22620063	15.93933324	15.8504958	16.22911695	15.87234043	16.23571858	16.21693122	..	..
CO2 emissions from gaseous fuel consumption (% of total)	0	0	0	0	0	0	0	0	0	0	0	0	0	0	..	..	..
CO2 emissions from gaseous fuel consumption (kt)	0	0	0	0	0	0	0	0	0	0	0	0	0	0	..	..	..
CO2 emissions from liquid fuel consumption (% of total)	4.505974628	4.833468725	5.053233752	4.814968384	4.738495844	3.809015479	2.856325402	4.087924636	3.778740076	3.66815399	3.859707081	5.492914826	5.16687822	5.13909224	..	..	..
CO2 emissions from liquid fuel consumption (kt)	3138.952	3490.984	3498.318	3406.643	3428.645	2878.595	2196.533	2625.572	2687.911	2592.569	2570.567	2643.907	2537.564	2574.234	..	..	..
CO2 emissions from manufacturing industries and construction (% of total fuel combustion)	61.34934248	62.01078689	61.95164326	62.14376861	62.18615619	62.72401434	63.24317261	62.54148886	62.70247229	62.89884104	62.82227307	61.87893252	62.38297872	60.79374624	61.45502646	..	..
CO2 emissions from other sectors, excluding residential buildings and commercial and public services (% of total fuel combustion)	19.55403087	18.97386254	18.92283191	18.98482915	19.00402275	19.1822647	19.36495492	19.12438755	19.18158568	19.11575333	19.13043478	18.74593187	18.70212766	18.22008419	18.46560847	..	..
CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)	0.114351058	0.179781496	0.188214854	0.170140366	0.166458593	0.132749237	0.10453417	0.142247511	0.14208582	0.157390185	0.183066362	0.260360165	0.255319149	0.390859892	0.317460317	..	..
CO2 emissions from solid fuel consumption (% of total)	92.19876823	91.60743298	91.10652047	91.28744687	91.3794851	92.43534378	93.14291164	91.15044248	91.72595113	91.81799315	91.35007158	87.7723602	88.12812663	87.78916545	..	..	..
CO2 emissions from solid fuel consumption (kt)	64227.505	66163.681	63072.4	64586.871	66119.677	69856.35	71627.511	58543.655	65246.931	64894.899	60839.197	42247.507	43281.601	43974.664	..	..	..
CO2 emissions from transport (% of total fuel combustion)	2.444253859	2.171207302	2.27305632	2.169289664	2.150090165	1.725740077	1.30667712	1.880828197	1.733447002	1.888682215	2.013729977	2.885658494	2.787234043	4.329524955	3.544973545	..	..
CO2 intensity (kg per kg of oil equivalent energy use)	3.533111855	3.545762502	3.538326297	3.53245774	3.530079536	3.542075538	3.568533755	3.508549766	3.526494343	3.548327998	3.52273189	3.438481397	3.445225536	4.617473443	..	..	..
Combustible renewables and waste (% of total energy)	5.096131764	4.957492716	5.207071123	5.130616777	5.05401164	4.891091066	4.874478014	5.772239241	5.267223945	5.36210636	5.679295086	7.71108409	7.612720138	10.05724643	9.207842963	..	..
Completeness of birth registration (%)	98.9	..	..	..	..	..	..	..	..	100	..	..	..	..	..	..	..
Completeness of birth registration, rural (%)	98.5	..	..	..	..	..	..	..	..	100	..	..	..	..	..	..	..
Completeness of birth registration, urban (%)	99.2	..	..	..	..	..	..	..	..	100	..	..	..	..	..	..	..
Completeness of infant death reporting (% of reported infant deaths to estimated infant deaths)	..	..	..	..	..	..	..	..	72.53987198	..	..	..	..	..	..	..	..
Completeness of total death reporting (% of reported total deaths to estimated total deaths)	..	..	..	..	..	..	..	..	93.23674617	..	..	..	..	..	..	..	..
Compulsory education, duration (years)	11	11	11	11	11	11	11	11	11	11	11	11	11	11	11	..	..
Consumption of iodized salt (% of households)	..	..	..	..	40.2	..	..	..	..	24.5	..	..	..	..	..	..	..
Container port traffic (TEU: 20 foot equivalent units)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Contraceptive prevalence, any methods (% of women ages 15-49)	..	..	68.6	..	..	..	..	..	..	..	70.6	..	..	..	..	..	..
Contraceptive prevalence, modern methods (% of women ages 15-49)	..	..	58.2	..	..	..	..	..	..	..	65.3	..	..	..	..	..	..
Crop production index (2004-2006 = 100)	84.89	93.95	94.91	97.22	100.37	100.3	99.33	90.92	99.66	98.06	98.34	97.87	100.91	102.72	..	..	..
Death rate, crude (per 1,000 people)	9.098	8.926	8.739	8.608	8.56	8.598	8.703	8.829	8.941	9.029	9.09	9.129	9.161	9.196	9.238	9.289	..
Demand for family planning satisfied by modern methods (% of married women with demand for family planning)	..	..	..	..	..	..	..	..	..	..	76.7	..	..	..	..	..	..
Depth of the food deficit (kilocalories per person per day)	294	297	296	292	278	269	267	280	298	318	333	341	344	344	344	344	343
Diabetes prevalence (% of population ages 20 to 79)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	4.4	..
Diarrhea treatment (% of children under 5 receiving oral rehydration and continued feeding)	..	..	..	..	..	..	..	..	..	67.1	..	..	..	..	..	..	..
Diarrhea treatment (% of children under 5 who received ORS packet)	..	..	..	..	..	..	..	..	..	74	..	..	..	..	..	..	..
Droughts, floods, extreme temperatures (% of population, average 1990-2009)	..	..	..	..	..	..	..	..	..	2.496881102	..	..	..	..	..	..	..
Electric power consumption (kWh per capita)	715.1420359	738.040816	716.1890073	753.9285074	782.5952177	810.0927027	788.0300862	751.5362199	805.8545538	729.8187094	744.4336048	657.1297995	653.9502143	619.9061244	602.4348646	..	..
Electric power transmission and distribution losses (% of output)	15.80412371	15.80693069	15.80703883	15.80626726	15.80576162	15.80394553	15.8056608	15.8063467	15.80693816	15.80915416	15.80963811	15.81192136	15.81409857	15.81387737	15.81327824	..	..
Electricity production from coal sources (% of total)	43.31443299	42.51485149	41.1711165	39.48471283	38.57916534	39.04067737	40.90037887	34.75816568	36.0051713	38.01296919	35.51514032	28.13897847	26.94946974	21.05607681	24.13311743	..	..
Electricity production from hydroelectric sources (% of total)	52.57731959	52.47524752	53.70145631	55.81483951	56.88799891	57.31494413	56.25139291	61.70143567	60.62486533	59.16599612	61.85376662	68.65702694	70.18091079	75.82369627	72.58920096	..	..
Electricity production from natural gas sources (% of total)	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	..	..
Electricity production from nuclear sources (% of total)	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	..	..
Electricity production from oil sources (% of total)	4.108247423	5.00990099	5.127427184	4.700447662	4.532835753	3.644378492	2.848228215	3.540398643	3.36996337	2.821034695	2.631093058	3.203994591	2.869619464	3.120226926	3.277681613	..	..
Electricity production from oil, gas and coal sources (% of total)	47.42268041	47.52475248	46.29854369	44.18516049	43.11200109	42.68505587	43.74860709	38.29856433	39.37513467	40.83400388	38.14623338	31.34297306	29.81908921	24.17630373	27.41079904	..	..
Electricity production from renewable sources, excluding hydroelectric (% of total)	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	..	..
Electricity production from renewable sources, excluding hydroelectric (kWh)	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	..	..
Employment to population ratio, 15+, female (%) (modeled ILO estimate)	72.77999878	72.55899811	72.33000183	72.12999725	71.96600342	71.81900024	71.68299866	71.57900238	71.48799896	71.37200165	71.29699707	71.22399902	71.14700317	71.08200073	71.03800201	71.03900146	71.06600189
Employment to population ratio, 15+, male (%) (modeled ILO estimate)	85.69300079	85.44300079	85.13300323	84.77200317	84.28299713	83.91100311	83.53900146	83.1289978	82.86799622	82.83599854	82.4280014	82.03299713	81.82099915	81.60900116	81.47499847	81.5039978	81.51799774
Employment to population ratio, 15+, total (%) (modeled ILO estimate)	78.96700287	78.73500061	78.47100067	78.1969986	77.88200378	77.6309967	77.38500214	77.13700104	76.96600342	76.89399719	76.66100311	76.43599701	76.29599762	76.16300201	76.07800293	76.09500122	76.11699677
Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate)	73.83399963	73.69400024	73.15100098	72.74500275	71.87400055	71.35399628	70.38700104	69.45300293	69.14499664	68.95899963	67.79399872	66.78800201	66.28099823	65.64700317	65.13400269	65.01899719	64.8789978
Employment to population ratio, ages 15-24, male (%) (modeled ILO estimate)	70.66600037	70.30999756	69.93499756	69.61799622	68.84700012	68.31600189	67.60299683	66.66999817	66.12999725	66.08799744	64.92099762	63.90599823	63.43299866	62.88199997	62.43299866	62.42200089	62.38399887
Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate)	72.21900177	71.97000122	71.51200104	71.15200043	70.33200073	69.80599976	68.96800232	68.03500366	67.60900116	67.4960022	66.33000183	65.31900024	64.82800293	64.23600006	63.75500107	63.69300079	63.60400009
Energy imports, net (% of energy use)	4.705390747	5.351641797	4.689569646	3.800615901	1.228447143	-3.303969145	-3.310573336	-7.631586106	-3.284915	-4.63588597	-10.21802995	-43.84493936	-42.20311456	-88.42473969	-74.75239399	..	..
Energy related methane emissions (% of total)	58.72123261	58.51460129	57.5521594	58.10712865	59.08616383	60.94247619	61.34400523	57.89009475	59.14877538	..	..	..	..	..	..	..	..
Energy use (kg of oil equivalent per capita)	863.2534068	883.9586935	841.5994234	854.1392483	867.0876239	895.9628232	899.0297705	759.2086827	832.0002587	817.2807957	771.6492468	568.3138718	575.6541935	435.7453625	475.9367688	..	..
Exclusive breastfeeding (% of children under 6 months)	..	..	70	..	65	..	..	..	..	..	..	..	68.9	..	..	..	..
Export value index (2000 = 100)	100	116.6666667	142.3728814	150.5649718	180.5084746	188.9830508	206.920904	237.9943503	290.960452	281.779661	360.8757062	523.3050847	558.6158192	541.6666667	616.5254237	538.1355932	..
Export volume index (2000 = 100)	100	123.2574586	157.1589159	162.1093412	177.1233971	166.8378064	169.8123913	185.2372947	183.0483009	192.6832419	226.0490388	272.4820594	310.7359821	333.2581865	408.9983846	418.5034675	..
Fertility rate, total (births per woman)	1.991	1.992	1.996	2	2.004	2.005	2.006	2.005	2.005	2.004	2.003	2	1.995	1.988	1.979	1.968	..
Fixed telephone subscriptions	500000	860000	916000	980000	1000000	1000000	1000000	1180000	1180000	1180000	1180000	1180000	1180000	1180000	1180000	1180000	..
Fixed telephone subscriptions (per 100 people)	2.189120291	3.732080211	3.940113882	4.179250618	4.230243167	4.199328166	4.171895964	4.893831032	4.867204914	4.841648351	4.816224309	4.790654294	4.765137671	4.739816224	4.714985519	4.690855527	..
Food production index (2004-2006 = 100)	83.14	93.82	96.02	97.98	100.58	100.81	98.61	91.32	98.28	97.77	98.35	98.26	101.52	102.5	..	..	..
Foreign direct investment, net inflows (BoP, current US$)	11056000	-19693000	5643000	5630000	65035000	-5943000	-236073000	20900000	167971000	8623000	14167000	126001000	221333000	88718000	63271000	82915000	..
Foreign direct investment, net outflows (BoP, current US$)	5574335.586	3449211.132	396597.5874	-1128624.861	2483346.061	0	0	0	0	0	0	0	0	0	0	..	..
Forest area (% of land area)	57.57827423	56.52520555	55.47213687	54.41906818	53.3659995	52.31293082	51.26152313	50.21011544	49.15870775	48.10730006	47.05589237	46.00116269	44.94643302	43.89170335	42.83697367	41.782244	..
Forest area (sq. km)	69330	68062	66794	65526	64258	62990	61724	60458	59192	57926	56660	55390	54120	52850	51580	50310	..
Fossil fuel energy consumption (% of total)	90.45489209	90.56717781	90.12492776	89.83704464	89.70140566	89.81569661	90.08915272	87.98892582	88.73478549	89.24093043	88.22522002	84.1793918	84.2428423	78.92340177	81.40601072	..	..
GDP per person employed (constant 2011 PPP $)	2156.568115	2215.612061	2223.175049	2246.042969	2275.895996	2341.353027	2299.631104	2253.9021	2302.081055	2257.980957	2230.74292	2231.564941	2243.730957	2252.263916	2259.083008	2267.262939	2284.124023
Grants, excluding technical cooperation (BoP, current US$)	50300000	84170000	153290000	107070000	96510000	69020000	45860000	96660000	203210000	63930000	71620000	112940000	90990000	104450000	140110000	125330000	..
Gross capital formation (% of GDP)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Gross capital formation (annual % growth)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Gross capital formation (constant 2010 US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Gross capital formation (constant LCU)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Gross capital formation (current LCU)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Gross capital formation (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Gross domestic income (constant LCU)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Gross domestic savings (% of GDP)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Gross domestic savings (current LCU)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Gross domestic savings (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Gross fixed capital formation (% of GDP)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Gross fixed capital formation (annual % growth)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Gross fixed capital formation (constant 2010 US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Gross fixed capital formation (constant LCU)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Gross fixed capital formation (current LCU)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Gross fixed capital formation (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Gross fixed capital formation, private sector (% of GDP)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Gross fixed capital formation, private sector (current LCU)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Gross intake ratio in first grade of primary education, female (% of relevant age group)	..	..	..	..	..	..	..	..	..	104.34862	..	..	..	..	..	98.09494	..
Gross intake ratio in first grade of primary education, male (% of relevant age group)	..	..	..	..	..	..	..	..	..	103.68952	..	..	..	..	..	98.44984	..
Gross intake ratio in first grade of primary education, total (% of relevant age group)	..	..	..	..	..	..	..	..	..	104.01139	..	..	..	..	..	98.27622	..
Gross national expenditure (% of GDP)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Gross national expenditure (constant 2010 US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Gross national expenditure (constant LCU)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Gross national expenditure (current LCU)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Gross national expenditure (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Gross national expenditure deflator (base year varies by country)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Gross savings (% of GDP)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Gross savings (% of GNI)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Gross savings (current LCU)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Gross savings (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Gross value added at factor cost (constant 2010 US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Gross value added at factor cost (constant LCU)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Gross value added at factor cost (current LCU)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Gross value added at factor cost (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Health expenditure per capita (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Health expenditure per capita, PPP (constant 2011 international $)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Health expenditure, private (% of GDP)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Health expenditure, public (% of GDP)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Health expenditure, public (% of government expenditure)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Health expenditure, public (% of total health expenditure)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Health expenditure, total (% of GDP)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
HFC gas emissions (thousand metric tons of CO2 equivalent)	1760.1	..	..	..	..	2787.1	..	..	3693.8	..	4236	..	..	..	..	..	..
High-technology exports (% of manufactured exports)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
High-technology exports (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Hospital beds (per 1,000 people)	..	..	13.2	..	..	..	..	..	..	..	..	..	13.2	..	..	..	..
Household final consumption expenditure (annual % growth)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Household final consumption expenditure (constant 2010 US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Household final consumption expenditure (constant LCU)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Household final consumption expenditure (current LCU)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Household final consumption expenditure (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Household final consumption expenditure per capita (constant 2010 US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Household final consumption expenditure per capita growth (annual %)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Household final consumption expenditure, etc. (% of GDP)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Household final consumption expenditure, etc. (annual % growth)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Household final consumption expenditure, etc. (constant 2010 US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Household final consumption expenditure, etc. (constant LCU)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Household final consumption expenditure, etc. (current LCU)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Household final consumption expenditure, etc. (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Household final consumption expenditure, PPP (constant 2011 international $)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Household final consumption expenditure, PPP (current international $)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
IBRD loans and IDA credits (DOD, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
ICT goods exports (% of total goods exports)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
ICT goods imports (% total goods imports)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
ICT service exports (% of service exports, BoP)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
ICT service exports (BoP, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
IDA grants (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
IDA resource allocation index (1=low to 6=high)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
IFC, private nonguaranteed (NFL, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
IMF charges (INT, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
IMF purchases (DIS, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
IMF repurchases (AMT, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
IMF repurchases and charges (TDS, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Immunization, DPT (% of children ages 12-23 months)	56	62	64	68	72	79	89	92	92	93	93	94	96	93	93	96	..
Immunization, HepB3 (% of one-year-old children)	..	..	..	27	98	92	96	92	92	93	93	94	96	93	93	96	..
Immunization, measles (% of children ages 12-23 months)	78	92	98	95	95	96	96	99	98	98	99	99	99	99	99	98	..
Import value index (2000 = 100)	100	109.5492289	112.3368921	121.5302491	135.1720047	161.2099644	170.8185053	181.198102	212.3368921	183.5705813	209.371293	259.1933571	286.1803084	303.9090331	296.1490942	282.3443364	..
Import volume index (2000 = 100)	100	118.606977	121.6839865	121.6409171	116.9895121	120.4813676	114.7703242	110.736049	103.8899395	102.6955147	104.5414367	110.85423	123.7448939	134.7231216	133.1469083	144.5562737	..
Imports of goods and services (% of GDP)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Imports of goods and services (annual % growth)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Imports of goods and services (BoP, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Imports of goods and services (constant 2010 US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Imports of goods and services (constant LCU)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Imports of goods and services (current LCU)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Imports of goods and services (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Imports of goods, services and primary income (BoP, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Improved sanitation facilities (% of population with access)	60.9	62.8	64.7	66.6	68.5	70.4	72.3	74.2	76.1	78	79.9	81.8	81.8	81.9	81.9	81.9	..
Improved sanitation facilities, rural (% of rural population with access)	54.7	56.3	57.9	59.5	61.2	62.8	64.4	66	67.7	69.3	70.9	72.5	72.5	72.5	72.5	72.5	..
Improved sanitation facilities, urban (% of urban population with access)	65.1	67.2	69.3	71.3	73.4	75.5	77.6	79.6	81.7	83.8	85.9	87.9	87.9	87.9	87.9	87.9	..
Improved water source (% of population with access)	99.9	99.9	99.9	99.8	99.8	99.8	99.8	99.8	99.7	99.7	99.7	99.7	99.7	99.7	99.7	99.7	..
Improved water source, rural (% of rural population with access)	99.8	99.8	99.7	99.7	99.7	99.6	99.6	99.6	99.5	99.5	99.4	99.4	99.4	99.4	99.4	99.4	..
Improved water source, urban (% of urban population with access)	99.9	99.9	99.9	99.9	99.9	99.9	99.9	99.9	99.9	99.9	99.9	99.9	99.9	99.9	99.9	99.9	..
Incidence of HIV (% of uninfected population ages 15-49)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Incidence of malaria (per 1,000 population at risk)	21.6	..	..	..	..	1	..	..	..	..	2.1	..	..	..	..	1	..
Incidence of tuberculosis (per 100,000 people)	187	159	216	263	236	224	232	305	374	392	432	464	464	490	515	561	..
Income share held by fourth 20%	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Income share held by highest 10%	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Income share held by highest 20%	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Income share held by lowest 10%	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Income share held by lowest 20%	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Income share held by second 20%	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Income share held by third 20%	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Individuals using the Internet (% of population)	0	0	0	0	0	0	0	0	0	0	0	0	0	..	..	..	..
Industrial design applications, nonresident, by count	..	..	..	..	1565	1178	1141	1139	912	306	206	311	260	190	228	124	..
Industrial design applications, resident, by count	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Industry, value added (% of GDP)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Industry, value added (annual % growth)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Industry, value added (constant 2010 US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Industry, value added (constant LCU)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Industry, value added (current LCU)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Industry, value added (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Inflation, consumer prices (annual %)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Inflation, GDP deflator (annual %)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Inflation, GDP deflator: linked series (annual %)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Informal employment (% of total non-agricultural employment)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Informal employment, female (% of total non-agricultural employment)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Informal employment, male (% of total non-agricultural employment)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Informal payments to public officials (% of firms)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Insurance and financial services (% of commercial service exports)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Insurance and financial services (% of commercial service imports)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Insurance and financial services (% of service exports, BoP)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Insurance and financial services (% of service imports, BoP)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Intentional homicides (per 100,000 people)	..	..	..	..	..	..	..	..	..	..	..	..	4.7	..	..	..	..
Interest arrears, long-term DOD (US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Interest arrears, official creditors (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Interest arrears, private creditors (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Interest forgiven (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Interest payments (% of expense)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Interest payments (% of revenue)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Interest payments (current LCU)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Interest payments on external debt (% of exports of goods, services and primary income)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Interest payments on external debt (% of GNI)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Interest payments on external debt, long-term (INT, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Interest payments on external debt, private nonguaranteed (PNG) (INT, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Interest payments on external debt, public and publicly guaranteed (PPG) (INT, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Interest payments on external debt, short-term (INT, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Interest payments on external debt, total (INT, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Interest rate spread (lending rate minus deposit rate, %)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Interest rescheduled (capitalized) (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Interest rescheduled, official (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Interest rescheduled, private (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Internally displaced persons (number, high estimate)	..	..	..	..	..	..	..	..	..	..	27500	25000	232000	82000	..	..	..
Internally displaced persons (number, low estimate)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
International migrant stock (% of population)	0.158417928	..	..	..	..	0.168380525	..	..	..	..	0.179628943	..	..	..	..	0.192635219	..
International migrant stock, total	36183	..	..	..	..	40097	..	..	..	..	44010	..	..	..	..	48458	..
International tourism, expenditures (% of total imports)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
International tourism, expenditures (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
International tourism, expenditures for passenger transport items (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
International tourism, expenditures for travel items (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
International tourism, number of arrivals	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
International tourism, number of departures	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
International tourism, receipts (% of total exports)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
International tourism, receipts (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
International tourism, receipts for passenger transport items (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
International tourism, receipts for travel items (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Internationally-recognized quality certification (% of firms)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Investment in energy with private participation (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Investment in telecoms with private participation (current US$)	..	..	..	..	..	..	..	..	400000000	27000000	47000000	0	0	0	0	..	..
Investment in transport with private participation (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Investment in water and sanitation with private participation (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Labor force participation rate for ages 15-24, female (%) (modeled ILO estimate)	81.20899963	80.92299652	80.42700195	79.95700073	78.98899841	78.35299683	77.47299957	76.4509964	75.95200348	75.89700317	74.59799957	73.44499969	72.87000275	72.18099976	71.625	71.4940033	71.33699799
Labor force participation rate for ages 15-24, female (%) (national estimate)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Labor force participation rate for ages 15-24, male (%) (modeled ILO estimate)	80.84200287	80.48000336	80.01699829	79.66200256	78.78399658	78.19799805	77.31900024	76.25	75.68699646	75.58799744	74.25900269	73.11399841	72.57800293	71.94599915	71.44499969	71.42700195	71.3730011
Labor force participation rate for ages 15-24, male (%) (national estimate)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Labor force participation rate for ages 15-24, total (%) (modeled ILO estimate)	81.02200317	80.6969986	80.21800232	79.80599976	78.88400269	78.27400208	77.39399719	76.34899902	75.81700134	75.73999786	74.4260025	73.27600098	72.72100067	72.06099701	71.53299713	71.45999908	71.35600281
Labor force participation rate for ages 15-24, total (%) (national estimate)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate)	75.47899628	75.23400116	75.01000214	74.81400299	74.64800262	74.49199677	74.36199951	74.23999786	74.12000275	74.0059967	73.90499878	73.80500031	73.71199799	73.6309967	73.57499695	73.56600189	73.58100128
Labor force participation rate, female (% of female population ages 15+) (national estimate)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate)	90.44200134	90.19799805	89.85399628	89.50099945	89	88.63200378	88.18499756	87.73200226	87.48100281	87.39499664	86.94000244	86.51100159	86.27799988	86.03399658	85.8690033	85.87599945	85.86499786
Labor force participation rate, male (% of male population ages 15+) (national estimate)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate)	82.64800262	82.40699768	82.1289978	81.86299896	81.54100037	81.28800201	81.00900269	80.73200226	80.55200195	80.45500183	80.18599701	79.93099976	79.77400208	79.61699677	79.51100159	79.51300049	79.51799774
Labor force participation rate, total (% of total population ages 15+) (national estimate)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Labor force with advanced education (% of total)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Labor force with advanced education, female (% of female labor force)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Labor force with advanced education, male (% of male labor force)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Labor force with basic education (% of total)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Labor force with basic education, female (% of female labor force)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Labor force with basic education, male (% of male labor force)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Labor force with intermediate education (% of total)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Labor force with intermediate education, female (% of female labor force)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Labor force with intermediate education, male (% of male labor force)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Labor force, female (% of total labor force)	47.56984947	47.53410126	47.5265687	47.52608643	47.57717289	47.59686334	47.64978563	47.71078228	47.7179645	47.67950946	47.75033594	47.81583901	47.82669914	47.84527807	47.85062155	47.82333618	47.80957538
Labor force, total	13965102	14103803	14224349	14339062	14446264	14572309	14680597	14797544	14936446	15085862	15193024	15304870	15418804	15521678	15632938	15767892	15882925
Labor tax and contributions (% of commercial profits)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Land area (sq. km)	120410	120410	120410	120410	120410	120410	120410	120410	120410	120410	120410	120410	120410	120410	120410	120410	120410
Land area where elevation is below 5 meters (% of total land area)	1.80829975	..	..	..	..	..	..	..	..	..	1.80829975	..	..	..	..	..	..
Land under cereal production (hectares)	1238554	1286500	1319747	1351509	1307476	1379090	1318993	1331898	1316083	1318533	1318360	1309000	1324500	1306500	1263138	..	..
Law mandates equal remuneration for females and males for work of equal value (1=yes; 0=no)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Law mandates nondiscrimination based on gender in hiring (1=yes; 0=no)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Law mandates paid or unpaid maternity leave (1=yes; 0=no)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Law prohibits or invalidates child or early marriage (1=yes; 0=no)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Lead time to export, median case (days)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Lead time to import, median case (days)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Legislation exists on domestic violence (1=yes; 0=no)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Lending interest rate (%)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Life expectancy at birth, female (years)	68.97	69.703	70.458	71.083	71.521	71.769	71.873	71.938	72.043	72.211	72.448	72.741	73.056	73.364	73.658	73.932	..
Life expectancy at birth, male (years)	61.185	62.09	63.02	63.804	64.373	64.717	64.883	64.984	65.11	65.286	65.521	65.804	66.102	66.39	66.662	66.915	..
Life expectancy at birth, total (years)	64.98256098	65.80365854	66.64829268	67.35473171	67.85982927	68.157	68.2927561	68.37619512	68.49195122	68.66404878	68.90002439	69.18790244	69.49419512	69.79195122	70.07468293	70.33792683	..
Lifetime risk of maternal death (%)	0.291531646	0.267808731	0.243829152	0.224043141	0.210387575	0.20255198	0.196797165	0.193198654	0.189720839	0.183804731	0.178399786	0.173111962	0.165957291	0.16022308	0.155911443	0.152171014	..
Lifetime risk of maternal death (1 in: rate varies by country)	340	370	410	450	480	490	510	520	530	540	560	580	600	620	640	660	..
Liner shipping connectivity index (maximum value in 2004 = 100)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Listed domestic companies, total	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Literacy rate, adult female (% of females ages 15 and above)	..	..	..	..	..	..	..	..	99.99762	..	..	..	..	..	..	99.99903	..
Literacy rate, adult male (% of males ages 15 and above)	..	..	..	..	..	..	..	..	99.99896	..	..	..	..	..	..	99.99947	..
Literacy rate, adult total (% of people ages 15 and above)	..	..	..	..	..	..	..	..	99.99826	..	..	..	..	..	..	99.99924	..
Literacy rate, youth (ages 15-24), gender parity index (GPI)	..	..	..	..	..	..	..	..	1	..	..	..	..	..	..	1	..
Literacy rate, youth female (% of females ages 15-24)	..	..	..	..	..	..	..	..	99.99979	..	..	..	..	..	..	99.99992	..
Literacy rate, youth male (% of males ages 15-24)	..	..	..	..	..	..	..	..	99.9996	..	..	..	..	..	..	99.99974	..
Literacy rate, youth total (% of people ages 15-24)	..	..	..	..	..	..	..	..	99.99969	..	..	..	..	..	..	99.99983	..
Livestock production index (2004-2006 = 100)	77.65	91.35	98.21	99.18	100.96	101.84	97.2	94.52	93.58	96.05	97.07	101.9	103.28	103.28	..	..	..
Logistics performance index: Ability to track and trace consignments (1=low to 5=high)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Logistics performance index: Competence and quality of logistics services (1=low to 5=high)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Logistics performance index: Overall (1=low to 5=high)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Losses due to theft, robbery, vandalism, and arson (% sales)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Low-birthweight babies (% of births)	..	..	6.7	..	..	..	..	..	..	5.7	..	..	..	..	..	..	..
Lower secondary completion rate, female (% of relevant age group)	..	..	..	..	..	..	..	..	..	103.15679	..	..	..	..	..	..	..
Lower secondary completion rate, male (% of relevant age group)	..	..	..	..	..	..	..	..	..	103.41389	..	..	..	..	..	..	..
Lower secondary completion rate, total (% of relevant age group)	..	..	..	..	..	..	..	..	..	103.28817	..	..	..	..	..	..	..
Lower secondary school starting age (years)	11	11	11	11	11	11	11	11	11	11	11	11	11	12	12	12	..
Machinery and transport equipment (% of value added in manufacturing)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Mammal species, threatened	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	10
Manufactures exports (% of merchandise exports)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Manufactures imports (% of merchandise imports)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Manufacturing, value added (% of GDP)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Manufacturing, value added (annual % growth)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Manufacturing, value added (constant 2010 US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Manufacturing, value added (constant LCU)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Manufacturing, value added (current LCU)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Manufacturing, value added (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Marine protected areas (% of territorial waters)	0.1	..	..	..	..	..	..	..	..	..	..	..	..	..	0.1	..	..
Market capitalization of listed domestic companies (% of GDP)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Market capitalization of listed domestic companies (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Maternal mortality ratio (modeled estimate, per 100,000 live births)	128	121	114	109	106	105	104	104	103	100	97	95	91	87	85	82	..
Maternal mortality ratio (national estimate, per 100,000 live births)	..	..	..	..	..	..	..	..	77	..	..	..	..	..	..	..	..
Merchandise exports (current US$)	708000000	826000000	1008000000	1066000000	1278000000	1338000000	1465000000	1685000000	2060000000	1995000000	2555000000	3705000000	3955000000	3835000000	4365000000	3810000000	..
Merchandise exports by the reporting economy (current US$)	976485613.2	935760923.4	936392982.7	882860558.2	1149676755	1173723530	1522068158	1641774844	1967668900	1437150942	2152068832	3508583329	3179731172	3489949540	3305987977	2951109267	..
Merchandise exports by the reporting economy, residual (% of total merchandise exports)	0.363018004	0.133440051	0.20043531	0.337680323	0.164144112	0.245005009	0.132800176	0.066349117	0.068279022	0.073039716	0.072915465	0.054478319	0.048670669	0.046808376	0.05183838	0.060560927	..
Merchandise exports to economies in the Arab World (% of total merchandise exports)	8.531756193	4.922719555	8.38794743	3.730044052	3.693596664	6.953909719	4.536319195	5.495002292	10.46616203	7.956500242	7.283194516	3.884734937	4.129582349	4.083365067	3.992145233	4.126194339	..
Merchandise exports to high-income economies (% of total merchandise exports)	48.77687068	41.08518166	45.0951575	28.32616941	22.8655162	22.63471878	21.34572221	9.878557444	15.4157594	10.70067963	10.50784935	7.991584894	6.01789979	8.933622397	5.715114296	6.101925067	..
Merchandise exports to low- and middle-income economies in East Asia & Pacific (% of total merchandise exports)	7.508062174	20.75446441	32.89902018	48.73201089	56.3301144	51.66351595	37.07125194	37.66548203	39.78081932	55.17401351	54.67409951	67.18831941	75.9422066	79.03251643	81.38176667	80.33623632	..
Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports)	3.088711058	4.490813483	2.31421829	1.974282506	1.972143181	2.403092521	2.52145919	3.24648686	4.427224833	1.827456101	1.993931312	1.146527335	1.201460754	1.007514263	1.115914992	1.609390565	..
Merchandise exports to low- and middle-income economies in Latin America & the Caribbean (% of total merchandise exports)	27.33292368	23.76254443	11.96145739	12.66597102	10.22538752	11.10978998	10.25611309	28.94459632	24.81766942	21.50943085	16.29463888	8.998744794	5.818451298	4.551913576	3.621055972	3.911444794	..
Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports)	3.159903838	3.188920647	2.165312108	3.606826638	3.569096071	2.363120941	1.330253868	1.820236745	3.745391648	3.413961636	3.780760429	1.416900724	1.100710074	1.000627706	0.88097534	0.633646948	..
Merchandise exports to low- and middle-income economies in South Asia (% of total merchandise exports)	7.918802532	4.489930008	3.260122001	1.683247743	1.934230026	6.240555623	24.93972694	15.26369244	8.789980299	3.961833251	9.806497337	11.01292477	7.713903656	3.433257735	4.9700093	4.582038472	..
Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports)	1.85170804	2.09470531	2.104277228	2.673811474	2.939368485	3.340201198	2.402672582	3.114599041	2.954876061	3.3395853	2.869307718	2.190519749	2.156697158	1.993739518	2.263325049	2.764756907	..
Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports)	43.35204915	38.02691388	21.80538702	22.60413938	20.64022529	25.45676026	41.45022567	52.38961141	44.73514226	34.05226714	34.74513567	24.76561738	17.99122294	11.9870528	12.85128065	13.50127769	..
Merchandise exports to low- and middle-income economies within region (% of total merchandise exports)	7.508062174	20.75446441	32.89902018	48.73201089	56.3301144	51.66351595	37.07125194	37.66548203	39.78081932	55.17401351	54.67409951	67.18831941	75.9422066	79.03251643	81.38176667	80.33623632	..
Merchandise imports (current US$)	1686000000	1847000000	1894000000	2049000000	2279000000	2718000000	2880000000	3055000000	3580000000	3095000000	3530000000	4370000000	4825000000	4650000000	5586000000	4790000000	..
Merchandise imports by the reporting economy (current US$)	2098111018	3294381608	2256745198	2222030059	2618458251	3276229429	3609181608	4408183362	5062130002	3407419204	4277096705	4582268834	4899140737	5205726614	4882269032	4250034024	..
Merchandise imports by the reporting economy, residual (% of total merchandise imports)	-2.00163E-08	-1.13309E-08	0.000487405	0.23118499	0.039908994	0.012479909	0.016726218	0.016387034	0.008924497	0.000984605	-1.31016E-08	0.00026886	-6.98147E-09	0.000900167	0.002645081	1.36206E-05	..
Merchandise imports from economies in the Arab World (% of total merchandise imports)	8.85527018	3.551354013	6.352478111	7.46478712	4.44758118	22.66828347	25.01892412	21.53206289	2.37167528	1.894437119	8.722564504	2.460186812	2.334559494	2.264319625	2.453415334	2.937331386	..
Merchandise imports from high-income economies (% of total merchandise imports)	32.45982155	50.85403499	31.19955921	24.86837077	25.24584825	22.0557886	16.06576443	8.066425797	10.66878832	9.39593897	7.019307336	4.852821738	6.803220873	5.644068263	5.010475181	4.668382781	..
Merchandise imports from low- and middle-income economies in East Asia & Pacific (% of total merchandise imports)	34.82985712	23.41526774	32.22459331	42.63553202	45.53280353	45.18982726	45.62998742	40.68387899	46.82767778	64.03916239	61.21289308	78.86468455	79.92733386	80.88388064	84.52296552	81.67647971	..
Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports)	2.720758079	2.227183709	2.741424103	6.275370874	9.560181826	8.050725878	6.029899968	3.299027819	2.19737322	1.573120595	1.383862434	2.423675752	1.723756261	2.921111039	2.265589808	3.077535982	..
Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports)	7.475400451	7.637089957	6.064005279	4.112045641	8.617467143	3.446042791	3.788193199	3.752936197	9.505969116	6.95255592	1.401140383	2.398663788	0.77415789	1.165855791	1.205471477	1.296259347	..
Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports)	4.5563316	2.970996507	5.159598588	6.355663174	1.654895131	15.21284359	19.15999921	20.00291156	0.030918144	0.086818142	6.836073734	0.223903049	0.046655643	0.098795693	0.077128967	0.017180696	..
Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports)	7.929347683	5.878720551	8.900036102	8.55951547	6.210486371	2.921700335	3.591995973	17.42542418	24.3776163	10.63042659	12.25611437	5.670614122	6.242061466	4.952413232	2.014524205	3.206882468	..
Merchandise imports from low- and middle-income economies in Sub-Saharan Africa (% of total merchandise imports)	10.02848355	7.016706557	13.710296	6.962317063	3.138408753	3.110591644	5.717433577	6.753008419	6.382732628	7.320992791	9.890608673	5.565368142	4.482814014	4.332975176	4.901199765	6.057265396	..
Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports)	32.71032136	25.73069728	36.57536007	32.26491222	29.18143922	32.74190424	38.28752193	51.23330818	42.49460941	26.56391403	31.7677996	16.28222485	13.26944527	13.47115093	10.46391422	13.65512389	..
Merchandise imports from low- and middle-income economies within region (% of total merchandise imports)	34.82985712	23.41526774	32.22459331	42.63553202	45.53280353	45.18982726	45.62998742	40.68387899	46.82767778	64.03916239	61.21289308	78.86468455	79.92733386	80.88388064	84.52296552	81.67647971	..
Merchandise trade (% of GDP)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Methane emissions (% change from 1990)	-19.89225683	-17.66294421	-19.16996139	-17.63797369	-15.23155534	-10.75073409	-10.09687637	-16.74967053	-13.50812698	-14.54255393	-13.93863726	-13.07802363	-12.21741	..	..	..	..
Methane emissions (kt of CO2 equivalent)	17323.7	17805.8	17479.9	17811.2	18331.6	19300.6	19442	18003.3	18704.3	18480.6	18611.2	18797.312	18983.424	..	..	..	..
Methane emissions in energy sector (thousand metric tons of CO2 equivalent)	10172.69017	10418.99288	10060.05991	10349.5769	10831.43921	11762.26356	11926.5015	10422.12743	11063.36439	..	..	..	..	..	..	..	..
Methodology assessment of statistical capacity (scale 0 - 100)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Military expenditure (% of central government expenditure)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Military expenditure (% of GDP)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Military expenditure (current LCU)	2997000000	3222000000	3297000000	50781000000	54414000000	64506000000	67085000000	68541000000	71330000000	76250000000	82600000000	89800000000	99100000000	1.053E+11	1.113E+11	1.174E+11	..
Mineral rents (% of GDP)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Mobile account (% age 15+)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Mobile account, female (% age 15+)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Mobile account, income, poorest 40% (% ages 15+)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Mobile account, income, richest 60% (% ages 15+)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Mobile account, male (% age 15+)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Mobile cellular subscriptions	0	0	0	0	0	0	0	0	0	69261	431919	1000000	1700000	2420000	2800000	3240000	..
Mobile cellular subscriptions (per 100 people)	0	0	0	0	0	0	0	0	0	0.284184243	1.762897277	4.05987652	6.865028848	9.720640052	11.18810123	12.87997619	..
Mortality caused by road traffic injury (per 100,000 people)	20.8	..	..	..	..	20.2	..	..	..	..	20.8	..	..	..	..	20.7	..
Mortality from CVD, cancer, diabetes or CRD between exact ages 30 and 70 (%)	28	..	..	..	..	30	..	..	..	..	29	..	..	..	..	26	..
Mortality rate, adult, female (per 1,000 female adults)	134.641	132.04	129.438	128.779	128.12	127.461	126.802	126.142	123.2	120.258	117.316	114.374	111.432	108.691	105.95	103.209	..
Mortality rate, adult, male (per 1,000 male adults)	231.448	221.339	211.23	209.367	207.505	205.642	203.779	201.917	198.112	194.308	190.503	186.699	182.894	179.367	175.841	172.314	..
Mortality rate, infant (per 1,000 live births)	44.5	39.1	34.1	30.2	27.5	26.2	25.8	25.8	25.8	25.4	24.8	23.8	22.7	21.7	20.7	19.7	..
Mortality rate, infant, female (per 1,000 live births)	40	..	..	..	..	..	..	..	..	..	22	..	..	..	..	17.5	..
Mortality rate, infant, male (per 1,000 live births)	48.6	..	..	..	..	..	..	..	..	..	27.4	..	..	..	..	21.9	..
Mortality rate, neonatal (per 1,000 live births)	27.3	24.8	22.3	20.2	18.7	17.7	17.4	17.4	17.5	17.3	16.9	16.2	15.5	14.8	14.1	13.5	..
Mortality rate, under-5 (per 1,000 live births)	60	52	44.6	38.7	34.7	32.7	32.2	32.4	32.4	32.1	31.3	30.1	28.7	27.4	26.1	24.9	..
Mortality rate, under-5, female (per 1,000 live births)	55.2	..	..	..	..	..	..	..	..	..	28	..	..	..	..	22.2	..
Mortality rate, under-5, male (per 1,000 live births)	64.5	..	..	..	..	..	..	..	..	..	34.4	..	..	..	..	27.5	..
Mothers are guaranteed an equivalent position after maternity leave (1=yes; 0=no)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Multilateral debt (% of total external debt)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Multilateral debt service (% of public and publicly guaranteed debt service)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Multilateral debt service (TDS, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Natural gas rents (% of GDP)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net acquisition of financial assets (% of GDP)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net acquisition of financial assets (current LCU)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net barter terms of trade index (2000 = 100)	100	102.4789088	98.12942969	92.96322981	88.20269152	84.65573631	81.87092184	78.51878984	77.77075191	81.81145007	79.71247824	82.13824981	77.73367935	72.05262577	67.77196463	65.83404217	..
Net bilateral aid flows from DAC donors, Australia (current US$)	7090000	4550000	2030000	2100000	3260000	4630000	2710000	5550000	5300000	2550000	230000	6710000	2070000	90000	2760000	4510000	..
Net bilateral aid flows from DAC donors, Austria (current US$)	50000	1580000	110000	140000	550000	140000	50000	10000	10000	10000	20000	30000	..	30000	..	30000	..
Net bilateral aid flows from DAC donors, Belgium (current US$)	10000	10000	10000	..	..	..	..	..	420000	430000	370000	340000	320000	380000	..	0	..
Net bilateral aid flows from DAC donors, Canada (current US$)	2360000	1510000	190000	5000000	2400000	1570000	260000	2120000	2410000	3600000	..	2530000	8200000	990000	3640000	2140000	..
Net bilateral aid flows from DAC donors, Czech Republic (current US$)	..	..	..	..	..	80000	110000	230000	460000	210000	130000	100000	50000	40000	30000	10000	..
Net bilateral aid flows from DAC donors, Denmark (current US$)	..	..	..	10000	..	810000	1510000	920000	1740000	..	..	140000	..	..	..	..	..
Net bilateral aid flows from DAC donors, European Union institutions (current US$)	25010000	40340000	61200000	30930000	31400000	19380000	12070000	16610000	18170000	3390000	14770000	16290000	6840000	12900000	7330000	8540000	..
Net bilateral aid flows from DAC donors, Finland (current US$)	..	750000	940000	1470000	1940000	1840000	1130000	2180000	680000	1120000	720000	1720000	660000	800000	820000	680000	..
Net bilateral aid flows from DAC donors, France (current US$)	1690000	270000	470000	-400000	-520000	-370000	610000	320000	1240000	270000	700000	1490000	1280000	1860000	14870000	1320000	..
Net bilateral aid flows from DAC donors, Germany (current US$)	1490000	26980000	33160000	7200000	7490000	5200000	2900000	3050000	5510000	2720000	2540000	2520000	3110000	2610000	2280000	3410000	..
Net bilateral aid flows from DAC donors, Greece (current US$)	..	..	..	..	..	10000	280000	110000	140000	120000	140000	140000	160000	..	10000	..	..
Net bilateral aid flows from DAC donors, Iceland (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net bilateral aid flows from DAC donors, Ireland (current US$)	10000	..	..	50000	120000	310000	1510000	490000	1160000	..	..	350000	850000	860000	860000	720000	..
Net bilateral aid flows from DAC donors, Italy (current US$)	1430000	3480000	3980000	4220000	9030000	780000	1010000	1820000	1610000	1340000	440000	430000	370000	400000	1020000	450000	..
Net bilateral aid flows from DAC donors, Japan (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net bilateral aid flows from DAC donors, Korea, Rep. (current US$)	..	..	..	..	..	80000	..	..	..	..	..	..	..	..	..	..	..
Net bilateral aid flows from DAC donors, Luxembourg (current US$)	..	..	630000	590000	3310000	660000	630000	340000	290000	350000	..	700000	370000	520000	110000	..	..
Net bilateral aid flows from DAC donors, Netherlands (current US$)	220000	90000	600000	830000	520000	650000	630000	700000	1010000	1230000	130000	100000	100000	..	30000	..	..
Net bilateral aid flows from DAC donors, New Zealand (current US$)	330000	290000	280000	210000	1110000	300000	210000	400000	350000	..	..	..	..	..	..	..	..
Net bilateral aid flows from DAC donors, Norway (current US$)	3330000	3480000	3580000	4380000	5620000	5270000	3840000	4710000	2910000	4750000	2480000	3570000	3440000	1050000	1900000	1860000	..
Net bilateral aid flows from DAC donors, Poland (current US$)	..	..	..	..	..	..	10000	80000	80000	50000	30000	30000	2670000	70000	40000	40000	..
Net bilateral aid flows from DAC donors, Portugal (current US$)	10000	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net bilateral aid flows from DAC donors, Slovak Republic (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net bilateral aid flows from DAC donors, Slovenia (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net bilateral aid flows from DAC donors, Spain (current US$)	..	..	..	10000	50000	..	40000	1580000	350000	2000000	..	..	..	240000	110000	..	..
Net bilateral aid flows from DAC donors, Sweden (current US$)	3450000	3360000	4260000	4900000	5440000	5490000	5100000	7750000	5790000	6350000	6010000	7500000	6410000	5290000	5680000	3980000	..
Net bilateral aid flows from DAC donors, Switzerland (current US$)	2610000	4530000	3430000	3980000	3900000	4230000	6040000	5920000	5990000	5950000	8220000	9460000	7110000	10890000	8130000	9830000	..
Net bilateral aid flows from DAC donors, Total (current US$)	51930000	92610000	249040000	108850000	133570000	58970000	41050000	88570000	196930000	49980000	42770000	56810000	47570000	42940000	52140000	..	..
Net bilateral aid flows from DAC donors, United Kingdom (current US$)	1260000	1140000	3000000	330000	2240000	..	..	1170000	270000	50000	410000	610000	1200000	2050000	460000	1130000	..
Net bilateral aid flows from DAC donors, United States (current US$)	1580000	250000	131170000	42900000	55710000	7910000	400000	32510000	141040000	13490000	5430000	2050000	2360000	1870000	2060000	2000000	..
Net capital account (BoP, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net change in interest arrears (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net current transfers from abroad (constant LCU)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net current transfers from abroad (current LCU)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net current transfers from abroad (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net domestic credit (current LCU)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net errors and omissions (BoP, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net financial account (BoP, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net financial flows, bilateral (NFL, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net financial flows, IBRD (NFL, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net financial flows, IDA (NFL, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net financial flows, IMF concessional (NFL, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net financial flows, IMF nonconcessional (NFL, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net financial flows, multilateral (NFL, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net financial flows, others (NFL, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net financial flows, RDB concessional (NFL, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net financial flows, RDB nonconcessional (NFL, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net flows on external debt, long-term (NFL, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net flows on external debt, private nonguaranteed (PNG) (NFL, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net flows on external debt, public and publicly guaranteed (PPG) (NFL, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net flows on external debt, short-term (NFL, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net flows on external debt, total (NFL, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net foreign assets (current LCU)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net income from abroad (constant LCU)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net income from abroad (current LCU)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net income from abroad (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net incurrence of liabilities, total (% of GDP)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net incurrence of liabilities, total (current LCU)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net intake rate in grade 1 (% of official school-age population)	..	..	..	..	..	..	..	..	..	92.76758	..	..	..	..	..	83.589	..
Net intake rate in grade 1, female (% of official school-age population)	..	..	..	..	..	..	..	..	..	93.08223	..	..	..	..	..	83.46406	..
Net intake rate in grade 1, male (% of official school-age population)	..	..	..	..	..	..	..	..	..	92.46725	..	..	..	..	..	83.70865	..
Net investment in nonfinancial assets (% of GDP)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net investment in nonfinancial assets (current LCU)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net lending (+) / net borrowing (-) (% of GDP)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net lending (+) / net borrowing (-) (current LCU)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net migration	..	..	0	..	..	..	..	0	..	..	..	..	0	..	..	..	..
Net ODA received (% of central government expense)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net ODA received (% of GNI)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net ODA received (% of gross capital formation)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net ODA received (% of imports of goods, services and primary income)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net ODA received per capita (current US$)	3.220196935	5.115989405	11.37299541	5.592521323	6.80434815	3.672313869	2.302054114	4.129903249	8.506494581	2.676042965	3.21748457	4.810534409	3.952211157	4.382282004	6.135030119	5.22474036	..
Net official aid received (constant 2014 US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net official aid received (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net official development assistance and official aid received (constant 2013 US$)	132690000	212290000	388350000	179540000	203120000	110290000	67910000	111210000	220130000	72390000	83880000	120260000	99820000	109000000	161630000	..	..
Net official development assistance and official aid received (current US$)	73550000	117890000	264400000	131140000	160850000	87450000	55180000	99580000	206230000	65220000	78830000	118490000	97870000	109100000	153540000	131430000	..
Net official development assistance received (constant 2014 US$)	131390000	212460000	391660000	179820000	203510000	109390000	67940000	111240000	222330000	71780000	83920000	116480000	97040000	105430000	153540000	169730000	..
Net official development assistance received (current US$)	73550000	117890000	264400000	131140000	160850000	87450000	55180000	99580000	206230000	65220000	78830000	118490000	97870000	109100000	153540000	131430000	..
Net official flows from UN agencies, FAO (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net official flows from UN agencies, IAEA (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net official flows from UN agencies, IFAD (current US$)	6190000	4500000	5780000	2690000	2020000	4910000	3220000	-610000	350000	-830000	-1560000	-1630000	-1670000	-1160000	-990000	-130000	..
Net official flows from UN agencies, ILO (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net official flows from UN agencies, UNAIDS (current US$)	..	..	..	..	..	..	..	10000	..	..	..	..	..	..	..	..	..
Net official flows from UN agencies, UNDP (current US$)	1210000	690000	690000	1590000	900000	2550000	3190000	500000	-10000	0	880000	1220000	3630000	2460000	1500000	1660000	..
Net official flows from UN agencies, UNECE (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net official flows from UN agencies, UNFPA (current US$)	350000	720000	1050000	600000	700000	940000	1010000	1230000	1270000	1160000	1140000	860000	1200000	640000	1420000	1260000	..
Net official flows from UN agencies, UNHCR (current US$)	..	..	..	310000	..	..	..	..	..	..	..	..	..	..	..	..	..
Net official flows from UN agencies, UNICEF (current US$)	650000	1050000	2050000	2530000	1050000	2640000	1670000	5070000	2260000	5510000	2670000	3860000	1500000	1980000	3180000	3480000	..
Net official flows from UN agencies, UNPBF (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net official flows from UN agencies, UNRWA (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net official flows from UN agencies, UNTA (current US$)	2230000	2600000	2470000	1840000	2520000	3030000	2010000	3380000	1440000	..	..	..	..	..	..	..	..
Net official flows from UN agencies, WFP (current US$)	560000	590000	50000	3230000	7490000	8440000	1810000	980000	3890000	7220000	8090000	13330000	8470000	11480000	3890000	640000	..
Net official flows from UN agencies, WHO (current US$)	..	..	..	..	..	..	..	..	..	..	..	2490000	1380000	2960000	1850000	1840000	..
Net primary income (BoP, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net secondary income (BoP, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net taxes on products (constant LCU)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net taxes on products (current LCU)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net taxes on products (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net trade in goods (BoP, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net trade in goods and services (BoP, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net transfers on external debt, long-term (NTR, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net transfers on external debt, private nonguaranteed (PNG) (NTR, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net transfers on external debt, public and publicly guaranteed (PPG) (NTR, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Net transfers on external debt, total (NTR, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
New business density (new registrations per 1,000 people ages 15-64)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
New businesses registered (number)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Newborns protected against tetanus (%)	81	80	91	91	92	90	90	91	91	91	91	93	93	93	93	97	..
Nitrous oxide emissions (% change from 1990)	-64.86142327	-64.99035407	-67.21846926	-66.98575713	-66.24910067	-65.44240773	-66.06286729	-67.10068063	-66.35415539	-66.87624554	-66.71484328	-66.38199171	-66.04914014	..	..	..	..
Nitrous oxide emissions (thousand metric tons of CO2 equivalent)	3421.718	3409.163	3192.194	3214.855	3286.589	3365.143	3304.724	3203.664	3276.359	3225.519	3241.236	3273.64836	3306.06072	..	..	..	..
Nitrous oxide emissions in energy sector (% of total)	12.479443	12.89566857	13.3324612	13.50693178	13.47731124	13.69358857	14.16546452	12.63730125	13.29053506	..	..	..	..	..	..	..	..
Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)	427.0113476	439.6343616	425.5980266	434.2282716	442.9438286	460.8088372	468.1295058	404.8566706	435.4456416	..	..	..	..	..	..	..	..
Nondiscrimination clause mentions gender in the constitution (1=yes; 0=no)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Nonpregnant and nonnursing women can do the same jobs as men (1=yes; 0=no)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Number of infant deaths	17385	14994	13053	11645	10650	10075	9700	9371	9010	8596	8283	8037	7886	7814	7685	7440	..
Number of maternal deaths	520	490	450	420	400	390	380	370	370	350	340	340	320	310	300	300	..
Number of neonatal deaths	10615	9475	8512	7771	7228	6793	6530	6308	6101	5845	5635	5461	5376	5321	5227	5091	..
Number of surgical procedures (per 100,000 population)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Number of under-five deaths	23970	20313	17294	15040	13495	12607	12177	11886	11469	11037	10613	10240	9966	9798	9577	9271	..
Number of visits or required meetings with tax officials	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Nurses and midwives (per 1,000 people)	..	..	..	4.122	..	..	..	..	..	..	..	..	..	..	..	..	..
Official exchange rate (LCU per US$, period average)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Oil rents (% of GDP)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Ores and metals exports (% of merchandise exports)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Ores and metals imports (% of merchandise imports)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Other expense (% of expense)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Other expense (current LCU)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Other greenhouse gas emissions (% change from 1990)	45.4653386	72.04253809	-11.75352016	-4.241342372	31.34491433	71.07943538	23.20143341	31.75292218	52.8097492	86.12850927	66.16441811	66.16441811	66.16441811	..	..	..	..
Other greenhouse gas emissions, HFC, PFC and SF6 (thousand metric tons of CO2 equivalent)	3673.25	4344.37	2228.3754	2418.07081	3316.685	4320.05	3111.0481	3326.9879	3858.709	4700.065	4195.93736	4195.93736	4195.93736	..	..	..	..
Other manufacturing (% of value added in manufacturing)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Other taxes (% of revenue)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Other taxes (current LCU)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Other taxes payable by businesses (% of commercial profits)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Out-of-pocket health expenditure (% of private expenditure on health)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Out-of-pocket health expenditure (% of total expenditure on health)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Over-age students, primary (% of enrollment)	..	..	..	..	..	..	..	..	..	2.60825	..	..	..	..	..	0.00678	..
Over-age students, primary, female (% of female enrollment)	..	..	..	..	..	..	..	..	..	2.5567	..	..	..	..	..	0.00751	..
Over-age students, primary, male (% of male enrollment)	..	..	..	..	..	..	..	..	..	2.65734	..	..	..	..	..	0.00607	..
Overall level of statistical capacity (scale 0 - 100)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Patent applications, nonresidents	..	..	..	..	..	66	56	76	..	55	39	39	27	..	..	..	..
Patent applications, residents	..	..	..	..	..	5861	6350	6846	..	7956	8018	7956	8354	..	..	..	..
People practicing open defecation (% of population)	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	..
People practicing open defecation, rural (% of rural population)	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	..
People practicing open defecation, urban (% of urban population)	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	..
Periodicity and timeliness assessment of statistical capacity (scale 0 - 100)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Permanent cropland (% of land area)	1.660991612	1.660991612	1.660991612	1.660991612	1.660991612	1.660991612	1.660991612	1.660991612	1.660991612	1.827090773	1.910140354	1.910140354	1.910140354	1.910140354	1.910140354	..	..
Persistence to grade 5, female (% of cohort)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Persistence to grade 5, male (% of cohort)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Persistence to grade 5, total (% of cohort)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Persistence to last grade of primary, female (% of cohort)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Persistence to last grade of primary, male (% of cohort)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Persistence to last grade of primary, total (% of cohort)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Personal remittances, paid (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Personal remittances, received (% of GDP)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Personal remittances, received (current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Personal transfers, receipts (BoP, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
PFC gas emissions (thousand metric tons of CO2 equivalent)	0	..	..	..	..	0	..	..	0	..	0	..	..	..	..	..	..
Physicians (per 1,000 people)	..	..	..	3.291	..	..	..	..	..	..	..	..	..	..	..	..	..
Plant species (higher), threatened	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	17
PM2.5 air pollution, mean annual exposure (micrograms per cubic meter)	30.96057371	..	..	..	..	31.99747762	..	..	..	..	31.36987266	29.67117197	30.47143143	31.76718291	33.03288697	34.08883481	..
PM2.5 air pollution, population exposed to levels exceeding WHO guideline value (% of total)	100	..	..	..	..	100	..	..	..	..	100	100	100	100	100	100	..
PNG, bonds (AMT, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
PNG, bonds (DIS, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
PNG, bonds (DOD, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
PNG, bonds (INT, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
PNG, bonds (NFL, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
PNG, bonds (NTR, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
PNG, bonds (TDS, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
PNG, commercial banks and other creditors (AMT, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
PNG, commercial banks and other creditors (DIS, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
PNG, commercial banks and other creditors (DOD, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
PNG, commercial banks and other creditors (INT, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
PNG, commercial banks and other creditors (NFL, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
PNG, commercial banks and other creditors (NTR, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
PNG, commercial banks and other creditors (TDS, current US$)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Point-of-sale terminals (per 100,000 adults)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Population ages 0-14 (% of total)	26.02047844	25.72805424	25.50119789	25.3025853	25.05460399	24.71960235	24.39608731	23.98283506	23.51615333	23.06404376	22.66596861	22.26331483	21.94874822	21.69158094	21.4387217	21.16742556	..
Population ages 0-4, female (% of female population)	8.256340831	8.010956489	7.864327978	7.788651909	7.708857515	7.575208293	7.468523415	7.284049083	7.054189003	6.846822754	6.707557796	6.555792997	6.52038187	6.564364756	6.620355847	6.644818258	..
Population ages 0-4, male (% of male population)	9.130600066	8.864593994	8.685794855	8.572040279	8.455389693	8.290753593	8.146209677	7.939668106	7.699117937	7.485266469	7.338839973	7.18727447	7.149442843	7.188780697	7.240174973	7.261674734	..
Population ages 10-14, female (% of female population)	8.036812908	8.043742297	8.081974425	8.136615239	8.173282755	8.160640922	8.103190897	8.008261053	7.884805939	7.753429323	7.632907145	7.532560163	7.437928345	7.346369363	7.243871957	7.114895348	..
Population ages 10-14, male (% of male population)	8.792765385	8.79326241	8.83008059	8.886192781	8.924878796	8.913643873	8.860060766	8.768864333	8.64788313	8.514742603	8.384875407	8.268440704	8.150857653	8.031674785	7.901468933	7.748570176	..
Population ages 15-19, female (% of female population)	7.845582238	7.945901384	7.914808521	7.804479778	7.709064062	7.682309132	7.700252778	7.764401118	7.847266846	7.902264403	7.901875653	7.86385216	7.772978843	7.648670723	7.522624934	7.412953362	..
Population ages 15-19, male (% of male population)	8.588172795	8.688032077	8.64559738	8.518310453	8.408785804	8.375157445	8.39078797	8.456860504	8.54496743	8.606578067	8.612509066	8.578556044	8.492355547	8.371325708	8.244049086	8.126634279	..
Population ages 15-64 (% of total)	68.06111921	68.06005232	67.9789357	67.86603945	67.80718427	67.84264137	67.85806798	67.98150875	68.1787848	68.38335247	68.55635145	68.70567718	68.78231312	68.84963491	69.00665415	69.29313592	..
Population ages 20-24, female (% of female population)	6.480190641	6.356729575	6.543572945	6.914855308	7.269540139	7.485647216	7.591064602	7.582969197	7.505157997	7.436925169	7.425562622	7.462322671	7.530272186	7.607820675	7.659413862	7.663312137	..
Population ages 20-24, male (% of male population)	7.066403123	6.932712497	7.136132361	7.538584764	7.921274103	8.152314413	8.26203467	8.247748213	8.158277691	8.080664011	8.066353703	8.102382265	8.173044109	8.255988534	8.314242299	8.324963255	..
Population ages 25-29, female (% of female population)	9.621732427	8.989450286	8.154165044	7.271028148	6.567660114	6.174242359	6.064810527	6.261071003	6.640952603	7.003671105	7.225711615	7.346197001	7.343933814	7.266350725	7.199508192	7.193273941	..
Population ages 25-29, male (% of male population)	10.40087787	9.717056723	8.815040718	7.862790846	7.106477576	6.686194288	6.573510504	6.789006954	7.200087427	7.590508079	7.828134959	7.954038055	7.947403309	7.859979768	7.784940679	7.776318671	..
Population ages 30-34, female (% of female population)	9.691087604	9.900441897	9.960424866	9.858164478	9.587956752	9.158036456	8.566853424	7.792899806	6.974886056	6.320497635	5.953841065	5.863651618	6.058354642	6.423978562	6.773920923	6.993259177	..
Population ages 30-34, male (% of male population)	10.36136247	10.59028778	10.66144296	10.56000011	10.27746652	9.821430492	9.192001265	8.364924814	7.491014723	6.794547529	6.408237954	6.316884303	6.529899492	6.924174951	7.299562943	7.533566086	..
Population ages 35-39, female (% of female population)	6.945451129	7.198364638	7.693275082	8.309306362	8.85634221	9.216701955	9.426907997	9.510910313	9.448781632	9.219665417	8.823992974	8.274884789	7.532799558	6.739967322	6.107244927	5.757551738	..
Population ages 35-39, male (% of male population)	7.293129368	7.573931186	8.112886012	8.779484963	9.370883908	9.762775363	9.996538495	10.09662802	10.04140022	9.807251364	9.393675064	8.813585319	8.027299339	7.187605548	6.520024314	6.155125228	..
Population ages 40-44, female (% of female population)	7.413513156	7.515037272	7.271078754	6.863591664	6.583415525	6.596394406	6.844950834	7.336142675	7.953103546	8.504134054	8.868419383	9.091876943	9.178939886	9.116577427	8.895822231	8.521291697	..
Population ages 40-44, male (% of male population)	7.672662276	7.786430406	7.534419915	7.111875883	6.827157653	6.854133092	7.131803202	7.664285681	8.327194228	8.919119357	9.314065524	9.559477354	9.663205469	9.610195691	9.388285106	9.000886684	..
Population ages 45-49, female (% of female population)	3.876843315	4.258556402	4.996289306	5.886410189	6.61932167	7.0182183	7.120562529	6.90785181	6.545484303	6.299947084	6.326848929	6.583675225	7.062984865	7.654382973	8.182531058	8.538171565	..
Population ages 45-49, male (% of male population)	3.778360543	4.208109474	5.009644483	5.96532197	6.749224439	7.178043952	7.292565386	7.077137229	6.708201729	6.465601348	6.510287543	6.793581533	7.309763743	7.940892472	8.504077835	8.88707964	..
Population ages 50-54, female (% of female population)	5.269934275	4.899098966	4.386577028	3.878252467	3.594266187	3.653332264	4.01897921	4.730312116	5.593719942	6.308786548	6.70105384	6.807757198	6.605475314	6.258205466	6.02817189	6.065037586	..
Population ages 50-54, male (% of male population)	5.06836461	4.686083611	4.17109005	3.671514765	3.410449362	3.506127947	3.91361156	4.677297235	5.591955718	6.346567199	6.76406227	6.871268234	6.665398004	6.319614222	6.103066163	6.165263632	..
Population ages 55-59, female (% of female population)	5.28400176	5.258489678	5.252562225	5.227168216	5.119855966	4.901518502	4.553034443	4.07939754	3.616604599	3.368132641	3.443673147	3.802756419	4.481337927	5.296960368	5.971792775	6.347141402	..
Population ages 55-59, male (% of male population)	4.979533555	4.945344944	4.929275996	4.895192745	4.785879576	4.575530178	4.221694931	3.754313865	3.311012411	3.096282255	3.216888752	3.610412577	4.324664943	5.167631302	5.859547695	6.247346494	..
Population ages 5-9, female (% of female population)	8.53198495	8.49205774	8.390885462	8.232656515	8.047578202	7.878273723	7.741787327	7.62724105	7.531941689	7.438401087	7.322552727	7.191010808	7.028051851	6.840988494	6.655291823	6.505897725	..
Population ages 5-9, male (% of male population)	9.354245206	9.312123352	9.208370848	9.046228282	8.854634876	8.674472381	8.524565622	8.388416188	8.264005711	8.13781653	7.992224682	7.837358446	7.655318825	7.454109611	7.25814012	7.099744824	..
Population ages 60-64, female (% of female population)	4.632122892	4.709225784	4.745439709	4.75388913	4.755382989	4.760166725	4.747085163	4.759742928	4.756886803	4.672418842	4.477419103	4.168432793	3.733883563	3.307133201	3.084036072	3.167806654	..
Population ages 60-64, male (% of male population)	3.904640953	4.013618965	4.077948699	4.116783428	4.150338112	4.1852043	4.166042539	4.16914978	4.162157173	4.086707529	3.91609761	3.612813802	3.199105138	2.811999997	2.642470441	2.783093597	..
Population ages 65 and above (% of total)	5.918402355	6.211893441	6.519866416	6.831375247	7.13821173	7.437756275	7.745844715	8.035656186	8.305061878	8.552603775	8.777679939	9.031007993	9.268938661	9.458784156	9.554624144	9.539438521	..
Population ages 65-69, female (% of female population)	3.275972958	3.42302634	3.591430817	3.761537546	3.911349002	4.030675059	4.103458609	4.149550027	4.17429717	4.189352553	4.201930677	4.208628613	4.233955633	4.237452007	4.16265015	3.988121552	..
Population ages 65-69, male (% of male population)	1.969895354	2.166706889	2.387899369	2.606088867	2.792878482	2.940662569	3.043287786	3.113311906	3.15902891	3.191175261	3.217623943	3.236361497	3.265838031	3.273052848	3.209590413	3.060765546	..
Population ages 70-74, female (% of female population)	2.310552322	2.367335174	2.427591105	2.501327801	2.601559612	2.731420055	2.847028295	2.989971153	3.14568893	3.29104	3.41072243	3.469495517	3.506033113	3.532103117	3.56120257	3.595497385	..
Population ages 70-74, male (% of male population)	0.952923942	1.003787526	1.052623408	1.111987084	1.198697796	1.317847737	1.462001071	1.621558728	1.778500855	1.911593856	2.012703607	2.096319545	2.153449626	2.193592233	2.225594025	2.252042844	..
Population ages 75-79, female (% of female population)	1.463419842	1.502076039	1.543530968	1.591804012	1.649303218	1.717132861	1.76178228	1.80916416	1.869424264	1.952855817	2.062847368	2.16393718	2.279997236	2.40260202	2.518142044	2.619498767	..
Population ages 75-79, male (% of male population)	0.454449583	0.467772465	0.478982419	0.49078078	0.505612318	0.524833496	0.561590997	0.592456517	0.626581455	0.676052817	0.744448197	0.848139366	0.953703601	1.04853694	1.122314944	1.174762187	..
Population ages 80 and above, female (% of female population)	1.064456753	1.129510038	1.182065765	1.220261237	1.245264082	1.260081774	1.33972767	1.406064968	1.456808677	1.49165557	1.513083526	1.613167906	1.692691355	1.756072801	1.813418745	1.871471709	..
Population ages 80 and above, male (% of male population)	0.231612897	0.250145703	0.262769932	0.266821999	0.259970987	0.240874882	0.26169356	0.278371927	0.288613255	0.289525726	0.278971745	0.313106486	0.339250328	0.360844694	0.382450029	0.402162122	..
Population density (people per sq. km of land area)	189.6870526	191.3748111	193.0741051	194.7443983	196.3233618	197.7686571	199.0689893	200.248692	201.3439831	202.4068267	203.4756748	204.5624035	205.6586081	206.7577859	207.8462918	208.9138527	..
Population growth (annual %)	0.872751473	0.885824423	0.884021296	0.861384115	0.807518431	0.73348439	0.655349544	0.590860946	0.545474991	0.526486163	0.5266798	0.532661683	0.534447146	0.533043995	0.525083325	0.512315385	..
Population in largest city	2777161	2782719	2788295	2793882	2799488	2805090	2810710	2816343	2821994	2827641	2833299	2838969	2844650	2850342	2856046	2862921	..
Population in the largest city (% of urban population)	20.46570222	20.29881887	20.13374381	19.97490091	19.82774752	19.69651073	19.58118961	19.4794731	19.38715972	19.29887723	19.20652153	19.1090791	19.00744221	18.90262536	18.79595301	18.69565141	..
Population in urban agglomerations of more than 1 million	2777161	2782719	2788295	2793882	2799488	2805090	2810710	2816343	2821994	2827641	2833299	2838969	2844650	2850342	2856046	2862921	..
Population in urban agglomerations of more than 1 million (% of total population)	12.15908272	12.0759699	11.99367104	11.91462914	11.84251849	11.7794979	11.72599949	11.68028129	11.64005075	11.60209875	11.56424688	11.52583177	11.48733776	11.44913149	11.41196316	11.38097763	..
Population living in areas where elevation is below 5 meters (% of total population)	5.127944734	..	..	..	..	..	..	..	..	..	5.131531888	..	..	..	..	..	..
Population, female (% of total)	51.25979971	51.25097419	51.23663474	51.21912402	51.20193935	51.18750746	51.17625662	51.16721194	51.15969924	51.15262693	51.145209	51.13740172	51.12948557	51.12140829	51.11314795	51.10470681	..
Population, total	22840218	23043441	23248053	23449173	23639296	23813324	23969897	24111945	24243829	24371806	24500506	24631359	24763353	24895705	25026772	25155317	..
Pregnant women receiving prenatal care (%)	97.1	..	..	..	..	..	..	..	..	100	..	..	..	..	..	..	..
Preprimary education, duration (years)	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	..
Prevalence of anemia among children (% of children under 5)	34.9	34.1	33.4	33.1	32.8	32.7	32.6	32.8	33	33.3	33.5	33.9	..	..	..	..	..
Prevalence of anemia among non-pregnant women (% of women ages 15-49)	34.9	34.4	33.8	33.1	32.3	31.4	30.3	29.3	28	26.8	25.8	24.9	..	..	..	..	..
Prevalence of anemia among pregnant women (%)	34.3	33.6	32.9	32.2	31.5	30.8	30.1	29.4	28.7	28.1	27.4	26.8	..	..	..	..	..
Prevalence of anemia among women of reproductive age (% of women ages 15-49)	34.8	34.4	33.8	33.1	32.3	31.3	30.3	29.3	28.1	26.9	25.8	25	..	..	..	..	..
Prevalence of overweight, weight for height (% of children under 5)	..	..	0.899999976	..	..	..	..	..	..	0	..	..	..	..	..	..	..
Prevalence of overweight, weight for height, female (% of children under 5)	..	..	1.100000024	..	..	..	..	..	..	0	..	..	..	..	..	..	..
Prevalence of overweight, weight for height, male (% of children under 5)	..	..	0.699999988	..	..	..	..	..	..	0	..	..	..	..	..	..	..
Prevalence of severe wasting, weight for height (% of children under 5)	..	..	3.5	..	..	..	..	..	..	0.5	..	..	0.600000024	..	..	..	..
Prevalence of severe wasting, weight for height, female (% of children under 5)	..	..	3.400000095	..	..	..	..	..	..	0.600000024	..	..	0.600000024	..	..	..	..
Prevalence of severe wasting, weight for height, male (% of children under 5)	..	..	3.599999905	..	..	..	..	..	..	0.400000006	..	..	0.600000024	..	..	..	..
Prevalence of stunting, height for age (% of children under 5)	51	..	44.70000076	..	43.09999847	..	..	..	..	32.40000153	..	..	27.89999962	..	..	..	..
Prevalence of stunting, height for age, female (% of children under 5)	..	..	41.90000153	..	..	..	..	..	..	32.40000153	..	..	25.79999924	..	..	..	..
Prevalence of stunting, height for age, male (% of children under 5)	..	..	47.20000076	..	..	..	..	..	..	32.40000153	..	..	29.89999962	..	..	..	..
Prevalence of undernourishment (% of population)	37.9	37.7	37.2	35.6	34.5	34.2	35.5	37.5	39.5	41	41.8	42	41.9	41.8	41.8	41.6	..
Prevalence of underweight, weight for age (% of children under 5)	24.70000076	..	17.79999924	..	20.60000038	..	..	..	..	18.79999924	..	..	15.19999981	..	..	..	..
Prevalence of underweight, weight for age, female (% of children under 5)	..	..	16.20000076	..	..	..	..	..	..	18.79999924	..	..	15	..	..	..	..
Prevalence of underweight, weight for age, male (% of children under 5)	..	..	19.20000076	..	..	..	..	..	..	18.79999924	..	..	15.5	..	..	..	..
Prevalence of wasting, weight for height (% of children under 5)	12.19999981	..	8.699999809	..	8.5	..	..	..	..	5.199999809	..	..	4	..	..	..	..
Prevalence of wasting, weight for height, female (% of children under 5)	..	..	8.100000381	..	..	..	..	..	..	5.300000191	..	..	3.799999952	..	..	..	..
Prevalence of wasting, weight for height, male (% of children under 5)	..	..	9.300000191	..	..	..	..	..	..	5	..	..	4.099999905	..	..	..	..
Primary completion rate, female (% of relevant age group)	..	..	..	..	..	..	..	..	..	96.8683	..	..	..	..	..	..	..
Primary completion rate, male (% of relevant age group)	..	..	..	..	..	..	..	..	..	97.96197	..	..	..	..	..	..	..
Primary completion rate, total (% of relevant age group)	..	..	..	..	..	..	..	..	..	97.42876	..	..	..	..	..	..	..
Primary education, duration (years)	4	4	4	4	4	4	4	4	4	4	4	4	4	5	5	5	..
Primary education, pupils	..	..	..	..	..	..	..	..	..	1546554	..	..	..	..	..	1357606	..
Primary education, pupils (% female)	..	..	..	..	..	..	..	..	..	48.77748	..	..	..	..	..	49.03028	..
Primary education, teachers	..	..	..	..	..	..	..	..	..	70298	..	..	..	..	..	66113	..
Primary education, teachers (% female)	..	..	..	..	..	..	..	..	..	86.76918	..	..	..	..	..	93.57312	..
Primary school starting age (years)	7	7	7	7	7	7	7	7	7	7	7	7	7	7	7	7	..
Proportion of seats held by women in national parliaments (%)	20.1	20.1	20.1	..	20.1	20.1	20.1	20.1	20.1	15.6	15.6	15.6	15.6	15.6	16.3	16.3	16.3
Pump price for diesel fuel (US$ per liter)	0.35	..	0.41	..	0.61	..	0.79	..	0.95	..	..	..	1.31	..	..	..	..
Pump price for gasoline (US$ per liter)	0.55	..	0.55	..	0.78	..	0.71	..	0.76	..	..	..	..	..	0.94	..	..
Pupil-teacher ratio, lower secondary	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	19.13264	..
Pupil-teacher ratio, preprimary	..	..	..	..	..	..	..	..	..	18.99988	..	..	..	..	..	10.24889	..
Pupil-teacher ratio, primary	..	..	..	..	..	..	..	..	..	21.99997	..	..	..	..	..	20.53463	..
Pupil-teacher ratio, secondary	..	..	..	..	..	..	..	..	..	19.99994	..	..	..	..	..	17.47049	..
Pupil-teacher ratio, tertiary	..	..	..	..	..	..	..	..	..	8.58659	..	..	..	..	..	9.02855	..
Pupil-teacher ratio, upper secondary	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	16.13524	..
Ratio of female to male labor force participation rate (%) (modeled ILO estimate)	83.45569001	83.4098348	83.47987318	83.59013134	83.87416025	84.04638684	84.32500036	84.62134222	84.72696971	84.67990108	85.00689752	85.31284918	85.43545062	85.58360605	85.68283563	85.66538074	85.69382532
Refugee population by country or territory of origin	13	19	259	304	343	288	397	605	886	881	917	1052	1132	1166	1282	1103	..
Renewable electricity output (% of total electricity output)	52.57731959	52.47524752	53.70145631	55.81483951	56.88799891	57.31494413	56.25139291	61.70143567	60.62486533	59.16599612	61.85376662	68.65702694	70.18091079	75.82369627	72.58920096	..	..
Renewable energy consumption (% of total final energy consumption)	8.717750463	8.620844155	9.025577084	9.265688012	9.372858289	9.228018967	8.957764445	10.90282988	10.19825772	9.730665671	10.62731004	14.41825296	14.32640368	19.33159387	17.01588498	..	..
Renewable internal freshwater resources per capita (cubic meters)	..	..	2881.961771	..	..	..	..	2778.705741	..	..	..	..	2705.610989	..	2677.133112	..	..
Renewable internal freshwater resources, total (billion cubic meters)	..	..	67	..	..	..	..	67	..	..	..	..	67	..	67	..	..
Rural land area (sq. km)	119243.4453	..	..	..	..	..	..	..	..	..	119243.4453	..	..	..	..	..	..
Rural land area where elevation is below 5 meters (% of total land area)	1.720786671	..	..	..	..	..	..	..	..	..	1.720786671	..	..	..	..	..	..
Rural land area where elevation is below 5 meters (sq. km)	2092.253906	..	..	..	..	..	..	..	..	..	2092.253906	..	..	..	..	..	..
Rural population	9270388	9334668	9399188	9462210	9520254	9571766	9615764	9653941	9687834	9719964	9748751	9774709	9797373	9816625	9831767	9842018	..
Rural population (% of total population)	40.588	40.509	40.43	40.352	40.273	40.195	40.116	40.038	39.96	39.882	39.79	39.684	39.564	39.431	39.285	39.125	..
Rural population growth (annual %)	0.680762506	0.690997713	0.688809128	0.668266844	0.611555812	0.539619433	0.458611162	0.39623907	0.350464574	0.331104326	0.295725948	0.265916137	0.231595291	0.196308842	0.154129692	0.104209748	..
Rural population living in areas where elevation is below 5 meters (% of total population)	2.961451258	..	..	..	..	..	..	..	..	..	2.955255362	..	..	..	..	..	..
School enrollment, preprimary (% gross)	..	..	..	..	..	..	..	..	..	84.50185	..	..	..	..	..	50.8274	..
School enrollment, preprimary, female (% gross)	..	..	..	..	..	..	..	..	..	84.71168	..	..	..	..	..	51.08954	..
School enrollment, preprimary, male (% gross)	..	..	..	..	..	..	..	..	..	84.30098	..	..	..	..	..	50.57661	..
School enrollment, primary (% gross)	..	..	..	..	..	..	..	..	..	99.78939	..	..	..	..	..	76.83378	..
School enrollment, primary (% net)	..	..	..	..	..	..	..	..	..	94.40992	..	..	..	..	..	74.06854	..
School enrollment, primary (gross), gender parity index (GPI)	..	..	..	..	..	..	..	..	..	0.99964	..	..	..	..	..	1.00274	..
School enrollment, primary and secondary (gross), gender parity index (GPI)	..	..	..	..	..	..	..	..	..	0.99977	..	..	..	..	..	1.00756	..
School enrollment, primary, female (% gross)	..	..	..	..	..	..	..	..	..	99.7708	..	..	..	..	..	76.9409	..
School enrollment, primary, female (% net)	..	..	..	..	..	..	..	..	..	94.43489	..	..	..	..	..	74.18535	..
School enrollment, primary, male (% gross)	..	..	..	..	..	..	..	..	..	99.80711	..	..	..	..	..	76.73102	..
School enrollment, primary, male (% net)	..	..	..	..	..	..	..	..	..	94.38615	..	..	..	..	..	73.95649	..
School enrollment, secondary (% gross)	..	..	..	..	..	..	..	..	..	102.05544	..	..	..	..	..	93.39609	..
School enrollment, secondary (% net)	..	..	..	..	..	..	..	..	..	98.53515	..	..	..	..	..	76.20373	..
School enrollment, secondary (gross), gender parity index (GPI)	..	..	..	..	..	..	..	..	..	0.9998	..	..	..	..	..	1.0109	..
School enrollment, secondary, female (% gross)	..	..	..	..	..	..	..	..	..	102.04512	..	..	..	..	..	93.91379	..
School enrollment, secondary, female (% net)	..	..	..	..	..	..	..	..	..	98.60817	..	..	..	..	..	76.58068	..
School enrollment, secondary, male (% gross)	..	..	..	..	..	..	..	..	..	102.06532	..	..	..	..	..	92.90117	..
School enrollment, secondary, male (% net)	..	..	..	..	..	..	..	..	..	98.4652	..	..	..	..	..	75.84337	..
School enrollment, secondary, private (% of total secondary)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
School enrollment, tertiary (% gross)	..	..	..	..	..	..	..	..	..	30.86081	..	30.32253	..	..	..	28.05944	..
School enrollment, tertiary (gross), gender parity index (GPI)	..	..	..	..	..	..	..	..	..	0.50427	..	..	..	..	..	0.55094	..
School enrollment, tertiary, female (% gross)	..	..	..	..	..	..	..	..	..	20.56158	..	..	..	..	..	19.81849	..
School enrollment, tertiary, male (% gross)	..	..	..	..	..	..	..	..	..	40.7748	..	..	..	..	..	35.97188	..
Scientific and technical journal articles	22.4	52.5	46.1	5.6	73.4	89	125.4	85.9	32.5	76.9	12.2	15.4	22.2	45.3	..	..	..
Secondary education, duration (years)	6	6	6	6	6	6	6	6	6	6	6	6	6	6	6	6	..
Secondary education, general pupils	..	..	..	..	..	..	..	..	..	2474033	..	..	..	..	..	2148364	..
Secondary education, general pupils (% female)	..	..	..	..	..	..	..	..	..	48.9181	..	..	..	..	..	49.14544	..
Secondary education, pupils	..	..	..	..	..	..	..	..	..	2474033	..	..	..	..	..	2148364	..
Secondary education, pupils (% female)	..	..	..	..	..	..	..	..	..	48.9181	..	..	..	..	..	49.14544	..
Secondary education, teachers	..	..	..	..	..	..	..	..	..	123702	..	..	..	..	..	122971	..
Secondary education, teachers (% female)	..	..	..	..	..	..	..	..	..	50.83992	..	..	..	..	..	45.47576	..
Secondary education, teachers, female	..	..	..	..	..	..	..	..	..	62890	..	..	..	..	..	55922	..
Secure Internet servers	..	..	..	..	..	..	..	..	..	1	..	..	..	1	2	1	..
Secure Internet servers (per 1 million people)	..	..	..	..	..	..	..	..	..	0.041031018	..	..	..	0.040167571	0.079914421	0.039753027	..
SF6 gas emissions (thousand metric tons of CO2 equivalent)	0	..	..	..	..	0	..	..	0	..	0	..	..	..	..	..	..
Surface area (sq. km)	120540	120540	120540	120540	120540	120540	120540	120540	120540	120540	120540	120540	120540	120540	120540	120540	120540
Survival to age 65, female (% of cohort)	74.66339	75.68128	76.69918	76.79999	76.90081	77.00163	77.10244	77.20326	77.69464	78.18602	78.67741	79.16879	79.66017	80.09339	80.5266	80.95982	..
Survival to age 65, male (% of cohort)	59.10658	60.76687	62.42716	62.68817	62.94918	63.21019	63.4712	63.73222	64.30685	64.88149	65.45613	66.03076	66.6054	67.12048	67.63556	68.15064	..
Technical cooperation grants (BoP, current US$)	6880000	14730000	102470000	12820000	51180000	9010000	5660000	7720000	5090000	3420000	4620000	2800000	3480000	5120000	15000000	4530000	..
Terrestrial and marine protected areas (% of total territorial area)	1.27	..	..	..	..	..	..	..	..	..	..	..	..	..	1.3	..	..
Terrestrial protected areas (% of total land area)	2.47	..	..	..	..	..	..	..	..	..	..	..	..	..	2.53	..	..
Tertiary education, academic staff (% female)	..	..	..	..	..	..	..	..	..	24.14956	..	..	..	..	..	20.58354	..
Total fisheries production (metric tons)	680550	714495	712995	712995	713005	713075	713080	713150	713250	715350	725850	727350	721850	717350	734450	..	..
Total greenhouse gas emissions (% change from 1990)	-39.99141371	-37.48191758	-41.09037359	-39.80162301	-37.90741532	-34.62726998	-34.47390805	-43.52487101	-39.02975405	-38.69894872	-36.12456867	-34.25418534	-32.57955025	..	..	..	..
Total greenhouse gas emissions (kt of CO2 equivalent)	97813.668	101904.133	96022.3694	98123.02581	101210.574	106557.193	106807.1721	92054.1519	99381.168	99920.37888	104116.6043	107165.3189	109894.965	..	..	..	..
Trademark applications, direct nonresident	2382	2190	1833	1595	1769	1802	1790	1656	1659	1149	1180	1127	1131	879	939	791	..
Trademark applications, nonresident, by count	..	..	..	..	4699	4718	4997	5083	4315	2922	3222	2947	2843	2479	2441	1999	..
Trademark applications, total	2348	2587	1913	1713	1679	2019	2103	1868	2007	1351	1231	1313	1179	1053	901	..	..
Tuberculosis case detection rate (%, all forms)	80	80	80	80	80	80	80	80	80	80	80	80	80	80	80	80	..
Tuberculosis treatment success rate (% of new cases)	82	90	88	88	91	90	88	87	90	91	91	92	92	92	91	..	..
Unemployment, female (% of female labor force) (modeled ILO estimate)	3.576999903	3.555000067	3.572999954	3.586999893	3.592999935	3.588999987	3.601999998	3.584000111	3.551000118	3.559999943	3.528000116	3.496999979	3.480000019	3.461999893	3.447999954	3.434999943	3.41899991
Unemployment, male (% of male labor force) (modeled ILO estimate)	5.250999928	5.271999836	5.252999783	5.28399992	5.301000118	5.326000214	5.268000126	5.245999813	5.272999763	5.217000008	5.190000057	5.176000118	5.164999962	5.143000126	5.117000103	5.09100008	5.061999798
Unemployment, total (% of total labor force) (modeled ILO estimate)	4.453999996	4.455999851	4.454999924	4.478000164	4.487999916	4.499000072	4.473999977	4.453000069	4.451000214	4.427000046	4.395999908	4.373000145	4.359000206	4.339000225	4.318999767	4.298999786	4.276000023
Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate)	9.081999779	8.932999611	9.046999931	9.019000053	9.008000374	8.932999611	9.147000313	9.154000282	8.961999893	9.140999794	9.121999741	9.06499958	9.041999817	9.052000046	9.06099987	9.05700016	9.053999901
Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate)	12.5880003	12.63700008	12.59899998	12.6079998	12.61200047	12.63700008	12.56700039	12.56400013	12.62699986	12.56799984	12.57499981	12.59300041	12.60099983	12.59799957	12.61499977	12.60599995	12.59399986
Unemployment, youth total (% of total labor force ages 15-24) (modeled ILO estimate)	10.86400032	10.81499958	10.85200024	10.84500027	10.84200001	10.81900024	10.88799953	10.88899994	10.82600021	10.88399982	10.87800026	10.85999966	10.85400009	10.85900021	10.87300014	10.86900043	10.86299992
Unmet need for contraception (% of married women ages 15-49)	..	..	..	..	..	..	..	..	..	..	14.5	..	..	..	..	..	..
Urban land area (sq. km)	2343.61377	..	..	..	..	..	..	..	..	..	2343.61377	..	..	..	..	..	..
Urban land area where elevation is below 5 meters (% of total land area)	0.087513079	..	..	..	..	..	..	..	..	..	0.087513079	..	..	..	..	..	..
Urban land area where elevation is below 5 meters (sq. km)	106.4045792	..	..	..	..	..	..	..	..	..	106.4045792	..	..	..	..	..	..
Urban population	13569830	13708773	13848865	13986963	14119042	14241558	14354133	14458004	14555995	14651842	14751755	14856650	14965980	15079080	15195005	15313299	..
Urban population (% of total)	59.412	59.491	59.57	59.648	59.727	59.805	59.884	59.962	60.04	60.118	60.21	60.316	60.436	60.569	60.715	60.875	..
Urban population growth (annual %)	1.004123222	1.018704672	1.016728697	0.992240166	0.939870126	0.863992737	0.787360456	0.721025657	0.675476501	0.65631251	0.679599741	0.70855177	0.733204884	0.752872747	0.765840266	0.775491111	..
Urban population living in areas where elevation is below 5 meters (% of total population)	2.166493476	..	..	..	..	..	..	..	..	..	2.176276526	..	..	..	..	..	..
Vitamin A supplementation coverage rate (% of children ages 6-59 months)	96	99	99	99	99	98	99	99	98	99	99	99	99	98	99	..	..
Vulnerable employment, female (% of female employment)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Vulnerable employment, male (% of male employment)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Vulnerable employment, total (% of total employment)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Wage and salaried workers, female (% of female employment)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Wage and salaried workers, male (% of male employment)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Wage and salaried workers, total (% of total employment)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Wanted fertility rate (births per woman)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Water productivity, total (constant 2010 US$ GDP per cubic meter of total freshwater withdrawal)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Wholesale price index (2010 = 100)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Women participating in the three decisions (own health care, major household purchases, and visiting family) (% of women age 15-49)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Women who believe a husband is justified in beating his wife (any of five reasons) (%)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Women who believe a husband is justified in beating his wife when she argues with him (%)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Women who believe a husband is justified in beating his wife when she burns the food (%)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Women who believe a husband is justified in beating his wife when she goes out without telling him (%)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Women who believe a husband is justified in beating his wife when she neglects the children (%)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Women who believe a husband is justified in beating his wife when she refuses sex with him (%)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Women who were first married by age 18 (% of women ages 20-24)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..
Women's share of population ages 15+ living with HIV (%)	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..