[EIP_2PLF_SEX_AGE_GEO_NB] Potential labour force by sex, age and rural / urban areas -- ILO modelled estimates, Nov. 2020 (thousands)
Updated on DBnomics on September 4, 2023 (6:24 AM).
[ref_area] Reference area
- [AFG] Afghanistan
- [AGO] Angola
- [ALB] Albania
- [ARE] United Arab Emirates
- [ARG] Argentina
- [ARM] Armenia
- [AUS] Australia
- [AUT] Austria
- [AZE] Azerbaijan
- [BDI] Burundi
- [BEL] Belgium
- [BEN] Benin
- [BFA] Burkina Faso
- [BGD] Bangladesh
- [BGR] Bulgaria
- [BHR] Bahrain
- [BHS] Bahamas
- [BIH] Bosnia and Herzegovina
- [BLR] Belarus
- [BLZ] Belize
- [BOL] Bolivia
- [BRA] Brazil
- [BRB] Barbados
- [BRN] Brunei Darussalam
- [BTN] Bhutan
- [BWA] Botswana
- [CAF] Central African Republic
- [CAN] Canada
- [CHA] Channel Islands
- [CHE] Switzerland
- [CHL] Chile
- [CHN] China
- [CIV] Côte d'Ivoire
- [CMR] Cameroon
- [COD] Congo, Democratic Republic of the
- [COG] Congo
- [COL] Colombia
- [COM] Comoros
- [CPV] Cabo Verde
- [CRI] Costa Rica
- [CUB] Cuba
- [CYP] Cyprus
- [CZE] Czechia
- [DEU] Germany
- [DJI] Djibouti
- [DNK] Denmark
- [DOM] Dominican Republic
- [DZA] Algeria
- [ECU] Ecuador
- [EGY] Egypt
- [ERI] Eritrea
- [ESH] Western Sahara
- [ESP] Spain
- [EST] Estonia
- [ETH] Ethiopia
- [FIN] Finland
- [FJI] Fiji
- [FRA] France
- [GAB] Gabon
- [GBR] United Kingdom
- [GEO] Georgia
- [GHA] Ghana
- [GIN] Guinea
- [GMB] Gambia
- [GNB] Guinea-Bissau
- [GNQ] Equatorial Guinea
- [GRC] Greece
- [GTM] Guatemala
- [GUM] Guam
- [GUY] Guyana
- [HKG] Hong Kong, China
- [HND] Honduras
- [HRV] Croatia
- [HTI] Haiti
- [HUN] Hungary
- [IDN] Indonesia
- [IND] India
- [IRL] Ireland
- [IRN] Iran, Islamic Republic of
- [IRQ] Iraq
- [ISL] Iceland
- [ISR] Israel
- [ITA] Italy
- [JAM] Jamaica
- [JOR] Jordan
- [JPN] Japan
- [KAZ] Kazakhstan
- [KEN] Kenya
- [KGZ] Kyrgyzstan
- [KHM] Cambodia
- [KOR] Korea, Republic of
- [KWT] Kuwait
- [LAO] Lao People's Democratic Republic
- [LBN] Lebanon
- [LBR] Liberia
- [LBY] Libya
- [LCA] Saint Lucia
- [LKA] Sri Lanka
- [LSO] Lesotho
- [LTU] Lithuania
- [LUX] Luxembourg
- [LVA] Latvia
- [MAC] Macau, China
- [MAR] Morocco
- [MDA] Moldova, Republic of
- [MDG] Madagascar
- [MDV] Maldives
- [MEX] Mexico
- [MKD] North Macedonia
- [MLI] Mali
- [MLT] Malta
- [MMR] Myanmar
- [MNE] Montenegro
- [MNG] Mongolia
- [MOZ] Mozambique
- [MRT] Mauritania
- [MUS] Mauritius
- [MWI] Malawi
- [MYS] Malaysia
- [NAM] Namibia
- [NCL] New Caledonia
- [NER] Niger
- [NGA] Nigeria
- [NIC] Nicaragua
- [NLD] Netherlands
- [NOR] Norway
- [NPL] Nepal
- [NZL] New Zealand
- [OMN] Oman
- [PAK] Pakistan
- [PAN] Panama
- [PER] Peru
- [PHL] Philippines
- [PNG] Papua New Guinea
- [POL] Poland
- [PRI] Puerto Rico
- [PRK] Korea, Democratic People's Republic of
- [PRT] Portugal
- [PRY] Paraguay
- [PSE] Occupied Palestinian Territory
- [PYF] French Polynesia
- [QAT] Qatar
- [ROU] Romania
- [RUS] Russian Federation
- [RWA] Rwanda
- [SAU] Saudi Arabia
- [SDN] Sudan
- [SEN] Senegal
- [SGP] Singapore
- [SLB] Solomon Islands
- [SLE] Sierra Leone
- [SLV] El Salvador
- [SOM] Somalia
- [SRB] Serbia
- [SSD] South Sudan
- [STP] Sao Tome and Principe
- [SUR] Suriname
- [SVK] Slovakia
- [SVN] Slovenia
- [SWE] Sweden
- [SWZ] Eswatini
- [SYR] Syrian Arab Republic
- [TCD] Chad
- [TGO] Togo
- [THA] Thailand
- [TJK] Tajikistan
- [TKM] Turkmenistan
- [TLS] Timor-Leste
- [TON] Tonga
- [TTO] Trinidad and Tobago
- [TUN] Tunisia
- [TUR] Türkiye
- [TWN] Taiwan, China
- [TZA] Tanzania, United Republic of
- [UGA] Uganda
- [UKR] Ukraine
- [URY] Uruguay
- [USA] United States
- [UZB] Uzbekistan
- [VCT] Saint Vincent and the Grenadines
- [VEN] Venezuela, Bolivarian Republic of
- [VIR] United States Virgin Islands
- [VNM] Viet Nam
- [VUT] Vanuatu
- [WSM] Samoa
- [X01] World
- [X02] World: Low income
- [X03] World: Lower-middle income
- [X04] World: Upper-middle income
- [X05] World: High income
- [X06] Africa
- [X07] Africa: Low income
- [X08] Africa: Lower-middle income
- [X09] Africa: Upper-middle income
- [X10] Northern Africa
- [X11] Northern Africa: Lower-middle income
- [X12] Northern Africa: Upper-middle income
- [X13] Sub-Saharan Africa
- [X14] Sub-Saharan Africa: Low income
- [X15] Sub-Saharan Africa: Lower-middle income
- [X16] Sub-Saharan Africa: Upper-middle income
- [X17] Central Africa
- [X18] Eastern Africa
- [X19] Southern Africa
- [X20] Western Africa
- [X21] Americas
- [X22] Americas: Low income
- [X23] Americas: Lower-middle income
- [X24] Americas: Upper-middle income
- [X25] Americas: High income
- [X26] Latin America and the Caribbean
- [X27] Latin America and the Caribbean: Low income
- [X28] Latin America and the Caribbean: Lower-middle income
- [X29] Latin America and the Caribbean: Upper-middle income
- [X30] Latin America and the Caribbean: High income
- [X31] Caribbean
- [X32] Central America
- [X33] South America
- [X34] Northern America
- [X35] Northern America: High income
- [X36] Arab States
- [X37] Arab States: Lower-middle income
- [X38] Arab States: Upper-middle income
- [X39] Arab States: High income
- [X40] Asia and the Pacific
- [X41] Asia and the Pacific: Low income
- [X42] Asia and the Pacific: Lower-middle income
- [X43] Asia and the Pacific: Upper-middle income
- [X44] Asia and the Pacific: High income
- [X45] Eastern Asia
- [X46] Eastern Asia: Low income
- [X47] Eastern Asia: Upper-middle income
- [X48] Eastern Asia: High income
- [X49] South-Eastern Asia and the Pacific
- [X51] South-Eastern Asia and the Pacific: Lower-middle income
- [X52] South-Eastern Asia and the Pacific: Upper-middle income
- [X53] South-Eastern Asia and the Pacific: High income
- [X54] South-Eastern Asia
- [X55] Pacific Islands
- [X56] Southern Asia
- [X57] Southern Asia: Low income
- [X58] Southern Asia: Lower-middle income
- [X59] Southern Asia: Upper-middle income
- [X60] Europe and Central Asia
- [X61] Europe and Central Asia: Lower-middle income
- [X62] Europe and Central Asia: Upper-middle income
- [X63] Europe and Central Asia: High income
- [X64] Northern, Southern and Western Europe
- [X65] Northern, Southern and Western Europe: Upper-middle income
- [X66] Northern, Southern and Western Europe: High income
- [X67] Northern Europe
- [X68] Southern Europe
- [X69] Western Europe
- [X70] Eastern Europe
- [X71] Eastern Europe: Lower-middle income
- [X72] Eastern Europe: Upper-middle income
- [X73] Eastern Europe: High income
- [X74] Central Asia
- [X75] Central and Western Asia: Lower-middle income
- [X76] Central and Western Asia: Upper-middle income
- [X77] Central and Western Asia: High income
- [X78] Central and Western Asia
- [X79] Western Asia
- [X81] Sub-Saharan Africa: High income
- [X82] European Union 28
- [X83] G20
- [X84] ASEAN
- [X85] BRICS
- [X86] Eastern Asia: Lower-middle income
- [X87] World excluding BRICS
- [X88] G7
- [X89] MENA
- [X90] Arab League
- [X91] CARICOM
- [X92] European Union 27
- [X93] Africa: High income
- [X94] Arab States: Low income
- [X95] Europe and Central Asia: Low income
- [X96] Central and Western Asia: Low income
- [YEM] Yemen
- [ZAF] South Africa
- [ZMB] Zambia
- [ZWE] Zimbabwe
[source] Source
- [XA_12987] ILO - Modelled Estimates
- [XA_12988] ILO - Modelled Estimates
- [XA_12989] ILO - Modelled Estimates
- [XA_12990] ILO - Modelled Estimates
- [XA_13328] ILO - Modelled Estimates
- [XA_13329] ILO - Modelled Estimates
- [XA_14065] ILO - Modelled Estimates
- [XA_14066] ILO - Modelled Estimates
- [XA_15672] ILO - Modelled Estimates
- [XA_15716] ILO - Modelled Estimates
- [XA_15724] ILO - Modelled Estimates
- [XA_15725] ILO - Modelled Estimates
- [XA_15726] ILO - Modelled Estimates
- [XA_15736] ILO - Modelled Estimates
- [XA_15737] ILO - Modelled Estimates
- [XA_15738] ILO - Modelled Estimates
- [XA_1829] ILO - Modelled Estimates
- [XA_1830] ILO - Modelled Estimates
- [XA_1832] ILO - Modelled Estimates
- [XA_1835] ILO - Modelled Estimates
- [XA_1836] ILO - Modelled Estimates
- [XA_1837] ILO - Modelled Estimates
- [XA_1839] ILO - Modelled Estimates
- [XA_1843] ILO - Modelled Estimates
- [XA_1848] ILO - Modelled Estimates
- [XA_1849] ILO - Modelled Estimates
- [XA_1850] ILO - Modelled Estimates
- [XA_1852] ILO - Modelled Estimates
- [XA_1854] ILO - Modelled Estimates
- [XA_1858] ILO - Modelled Estimates
- [XA_1862] ILO - Modelled Estimates
- [XA_1866] ILO - Modelled Estimates
- [XA_1868] ILO - Modelled Estimates
- [XA_1869] ILO - Modelled Estimates
- [XA_1871] ILO - Modelled Estimates
- [XA_1872] ILO - Modelled Estimates
- [XA_1874] ILO - Modelled Estimates
- [XA_1875] ILO - Modelled Estimates
- [XA_1877] ILO - Modelled Estimates
- [XA_1881] ILO - Modelled Estimates
- [XA_1883] ILO - Modelled Estimates
- [XA_1884] ILO - Modelled Estimates
- [XA_1885] ILO - Modelled Estimates
- [XA_1893] ILO - Modelled Estimates
- [XA_1897] ILO - Modelled Estimates
- [XA_1901] ILO - Modelled Estimates
- [XA_1905] ILO - Modelled Estimates
- [XA_1907] ILO - Modelled Estimates
- [XA_1909] ILO - Modelled Estimates
- [XA_1913] ILO - Modelled Estimates
- [XA_1914] ILO - Modelled Estimates
- [XA_1916] ILO - Modelled Estimates
- [XA_1920] ILO - Modelled Estimates
- [XA_1921] ILO - Modelled Estimates
- [XA_1922] ILO - Modelled Estimates
- [XA_1924] ILO - Modelled Estimates
- [XA_1928] ILO - Modelled Estimates
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- [XA_1949] ILO - Modelled Estimates
- [XA_1950] ILO - Modelled Estimates
- [XA_1956] ILO - Modelled Estimates
- [XA_1957] ILO - Modelled Estimates
- [XA_1960] ILO - Modelled Estimates
- [XA_1964] ILO - Modelled Estimates
- [XA_1972] ILO - Modelled Estimates
- [XA_1976] ILO - Modelled Estimates
- [XA_1978] ILO - Modelled Estimates
- [XA_1980] ILO - Modelled Estimates
- [XA_1982] ILO - Modelled Estimates
- [XA_1984] ILO - Modelled Estimates
- [XA_1987] ILO - Modelled Estimates
- [XA_1988] ILO - Modelled Estimates
- [XA_1990] ILO - Modelled Estimates
- [XA_1992] ILO - Modelled Estimates
- [XA_1996] ILO - Modelled Estimates
- [XA_2000] ILO - Modelled Estimates
- [XA_2002] ILO - Modelled Estimates
- [XA_2004] ILO - Modelled Estimates
- [XA_2007] ILO - Modelled Estimates
- [XA_2008] ILO - Modelled Estimates
- [XA_2009] ILO - Modelled Estimates
- [XA_2010] ILO - Modelled Estimates
- [XA_2012] ILO - Modelled Estimates
- [XA_2014] ILO - Modelled Estimates
- [XA_2015] ILO - Modelled Estimates
- [XA_2016] ILO - Modelled Estimates
- [XA_2017] ILO - Modelled Estimates
- [XA_2018] ILO - Modelled Estimates
- [XA_2024] ILO - Modelled Estimates
- [XA_2028] ILO - Modelled Estimates
- [XA_2029] ILO - Modelled Estimates
- [XA_2030] ILO - Modelled Estimates
- [XA_2031] ILO - Modelled Estimates
- [XA_2034] ILO - Modelled Estimates
- [XA_2036] ILO - Modelled Estimates
- [XA_2039] ILO - Modelled Estimates
- [XA_2044] ILO - Modelled Estimates
- [XA_2048] ILO - Modelled Estimates
- [XA_2054] ILO - Modelled Estimates
- [XA_2056] ILO - Modelled Estimates
- [XA_2060] ILO - Modelled Estimates
- [XA_2064] ILO - Modelled Estimates
- [XA_2068] ILO - Modelled Estimates
- [XA_2070] ILO - Modelled Estimates
- [XA_2075] ILO - Modelled Estimates
- [XA_2080] ILO - Modelled Estimates
- [XA_2081] ILO - Modelled Estimates
- [XA_2082] ILO - Modelled Estimates
- [XA_2083] ILO - Modelled Estimates
- [XA_2084] ILO - Modelled Estimates
- [XA_2085] ILO - Modelled Estimates
- [XA_2086] ILO - Modelled Estimates
- [XA_2088] ILO - Modelled Estimates
- [XA_2089] ILO - Modelled Estimates
- [XA_2090] ILO - Modelled Estimates
- [XA_2092] ILO - Modelled Estimates
- [XA_2093] ILO - Modelled Estimates
- [XA_2096] ILO - Modelled Estimates
- [XA_2097] ILO - Modelled Estimates
- [XA_2098] ILO - Modelled Estimates
- [XA_2100] ILO - Modelled Estimates
- [XA_2101] ILO - Modelled Estimates
- [XA_2102] ILO - Modelled Estimates
- [XA_2104] ILO - Modelled Estimates
- [XA_2108] ILO - Modelled Estimates
- [XA_2109] ILO - Modelled Estimates
- [XA_2110] ILO - Modelled Estimates
- [XA_2112] ILO - Modelled Estimates
- [XA_2113] ILO - Modelled Estimates
- [XA_2114] ILO - Modelled Estimates
- [XA_2115] ILO - Modelled Estimates
- [XA_2116] ILO - Modelled Estimates
- [XA_2117] ILO - Modelled Estimates
- [XA_2118] ILO - Modelled Estimates
- [XA_2120] ILO - Modelled Estimates
- [XA_2121] ILO - Modelled Estimates
- [XA_2122] ILO - Modelled Estimates
- [XA_2124] ILO - Modelled Estimates
- [XA_2125] ILO - Modelled Estimates
- [XA_2126] ILO - Modelled Estimates
- [XA_2128] ILO - Modelled Estimates
- [XA_2129] ILO - Modelled Estimates
- [XA_2130] ILO - Modelled Estimates
- [XA_2132] ILO - Modelled Estimates
- [XA_2133] ILO - Modelled Estimates
- [XA_2134] ILO - Modelled Estimates
- [XA_2136] ILO - Modelled Estimates
- [XA_2137] ILO - Modelled Estimates
- [XA_2138] ILO - Modelled Estimates
- [XA_2140] ILO - Modelled Estimates
- [XA_2142] ILO - Modelled Estimates
- [XA_2144] ILO - Modelled Estimates
- [XA_2145] ILO - Modelled Estimates
- [XA_2146] ILO - Modelled Estimates
- [XA_2148] ILO - Modelled Estimates
- [XA_2149] ILO - Modelled Estimates
- [XA_2150] ILO - Modelled Estimates
- [XA_2152] ILO - Modelled Estimates
- [XA_2153] ILO - Modelled Estimates
- [XA_2156] ILO - Modelled Estimates
- [XA_2158] ILO - Modelled Estimates
- [XA_2160] ILO - Modelled Estimates
- [XA_2162] ILO - Modelled Estimates
- [XA_2164] ILO - Modelled Estimates
- [XA_2165] ILO - Modelled Estimates
- [XA_2166] ILO - Modelled Estimates
- [XA_2168] ILO - Modelled Estimates
- [XA_2170] ILO - Modelled Estimates
- [XA_2172] ILO - Modelled Estimates
- [XA_2173] ILO - Modelled Estimates
- [XA_2174] ILO - Modelled Estimates
- [XA_2176] ILO - Modelled Estimates
- [XA_2178] ILO - Modelled Estimates
- [XA_2180] ILO - Modelled Estimates
- [XA_2181] ILO - Modelled Estimates
- [XA_2182] ILO - Modelled Estimates
- [XA_2184] ILO - Modelled Estimates
- [XA_2185] ILO - Modelled Estimates
- [XA_2186] ILO - Modelled Estimates
- [XA_2188] ILO - Modelled Estimates
- [XA_2189] ILO - Modelled Estimates
- [XA_2190] ILO - Modelled Estimates
- [XA_2192] ILO - Modelled Estimates
- [XA_2193] ILO - Modelled Estimates
- [XA_2198] ILO - Modelled Estimates
- [XA_2202] ILO - Modelled Estimates
- [XA_2203] ILO - Modelled Estimates
- [XA_2206] ILO - Modelled Estimates
- [XA_2232] ILO - Modelled Estimates
- [XA_2234] ILO - Modelled Estimates
- [XA_8368] ILO - Modelled Estimates
- [XA_8371] ILO - Modelled Estimates
- [XA_8372] ILO - Modelled Estimates
- [XA_8373] ILO - Modelled Estimates
- [XA_8374] ILO - Modelled Estimates
- [XA_8375] ILO - Modelled Estimates
- [XA_8376] ILO - Modelled Estimates
- [XA_8377] ILO - Modelled Estimates
- [XA_8378] ILO - Modelled Estimates
- [XA_8379] ILO - Modelled Estimates
- [XA_8380] ILO - Modelled Estimates
- [XA_8381] ILO - Modelled Estimates
- [XA_8382] ILO - Modelled Estimates
- [XA_8383] ILO - Modelled Estimates
- [XA_8384] ILO - Modelled Estimates
- [XA_8385] ILO - Modelled Estimates
- [XA_8386] ILO - Modelled Estimates
- [XA_8387] ILO - Modelled Estimates
- [XA_8388] ILO - Modelled Estimates
- [XA_8389] ILO - Modelled Estimates
- [XA_8390] ILO - Modelled Estimates
- [XA_8391] ILO - Modelled Estimates
- [XA_8392] ILO - Modelled Estimates
- [XA_8393] ILO - Modelled Estimates
- [XA_8394] ILO - Modelled Estimates
- [XA_8395] ILO - Modelled Estimates
- [XA_8396] ILO - Modelled Estimates
- [XA_8397] ILO - Modelled Estimates
- [XA_8398] ILO - Modelled Estimates
- [XA_8399] ILO - Modelled Estimates
- [XA_8400] ILO - Modelled Estimates
- [XA_8401] ILO - Modelled Estimates
- [XA_8402] ILO - Modelled Estimates
- [XA_8403] ILO - Modelled Estimates
- [XA_8404] ILO - Modelled Estimates
- [XA_8405] ILO - Modelled Estimates
- [XA_8406] ILO - Modelled Estimates
- [XA_8407] ILO - Modelled Estimates
- [XA_8408] ILO - Modelled Estimates
- [XA_8409] ILO - Modelled Estimates
- [XA_8410] ILO - Modelled Estimates
- [XA_8411] ILO - Modelled Estimates
- [XA_8412] ILO - Modelled Estimates
- [XA_8413] ILO - Modelled Estimates
- [XA_8414] ILO - Modelled Estimates
- [XA_8415] ILO - Modelled Estimates
- [XA_8416] ILO - Modelled Estimates
- [XA_8417] ILO - Modelled Estimates
- [XA_8418] ILO - Modelled Estimates
- [XA_8419] ILO - Modelled Estimates
- [XA_8420] ILO - Modelled Estimates
- [XA_8421] ILO - Modelled Estimates
- [XA_8422] ILO - Modelled Estimates
- [XA_8423] ILO - Modelled Estimates
- [XA_8424] ILO - Modelled Estimates
- [XA_8425] ILO - Modelled Estimates
- [XA_8426] ILO - Modelled Estimates
- [XA_8427] ILO - Modelled Estimates
- [XA_8428] ILO - Modelled Estimates
- [XA_8429] ILO - Modelled Estimates
- [XA_8430] ILO - Modelled Estimates
- [XA_8431] ILO - Modelled Estimates
- [XA_8432] ILO - Modelled Estimates
- [XA_8434] ILO - Modelled Estimates
- [XA_8435] ILO - Modelled Estimates
- [XA_8436] ILO - Modelled Estimates
- [XA_8437] ILO - Modelled Estimates
- [XA_8438] ILO - Modelled Estimates
- [XA_8439] ILO - Modelled Estimates
- [XA_8440] ILO - Modelled Estimates
- [XA_8441] ILO - Modelled Estimates
- [XA_8442] ILO - Modelled Estimates
- [XA_8443] ILO - Modelled Estimates
- [XA_8444] ILO - Modelled Estimates
- [XA_8445] ILO - Modelled Estimates
- [XA_8446] ILO - Modelled Estimates
- [XA_8447] ILO - Modelled Estimates
- [XA_8448] ILO - Modelled Estimates
- [XA_8449] ILO - Modelled Estimates
- [XA_8450] ILO - Modelled Estimates
[classif1] Classification 1
- [AGE_YTHADULT_Y15-24] Age (Youth, adults): 15-24
- [AGE_YTHADULT_YGE15] Age (Youth, adults): 15+
- [AGE_YTHADULT_YGE25] Age (Youth, adults): 25+
[classif2] Classification 2
- [GEO_COV_NAT] Area type: National
- [GEO_COV_RUR] Area type: Rural
- [GEO_COV_URB] Area type: Urban
[sex] Sex
- [SEX_F] Sex: Female
- [SEX_M] Sex: Male
- [SEX_T] Sex: Total
[frequency] Frequency
- [A] Annual
Search filters
Reference area [ref_area] (283)
Source [source] (283)
Classification 1 [classif1] (3)
Classification 2 [classif2] (3)
Sex [sex] (3)
Frequency [frequency] (1)
This dataset has 7,641 series:
- from
- 2005=340.87
- to
- 2019=340.87
- min:
- 175.173
- max:
- 340.87
- avg:
- 247.241
- σ:
- 59.411
- from
- 2005=220.723
- to
- 2019=220.723
- min:
- 183.184
- max:
- 220.723
- avg:
- 198.001
- σ:
- 10.897
- from
- 2005=561.592
- to
- 2019=561.592
- min:
- 361.865
- max:
- 561.592
- avg:
- 445.241
- σ:
- 69.858
- from
- 2005=251.521
- to
- 2019=251.521
- min:
- 134.377
- max:
- 251.521
- avg:
- 191.894
- σ:
- 43.955
- from
- 2005=155.145
- to
- 2019=155.145
- min:
- 123.679
- max:
- 155.145
- avg:
- 138.799
- σ:
- 9.702
- from
- 2005=406.666
- to
- 2019=406.666
- min:
- 262.031
- max:
- 406.666
- avg:
- 330.692
- σ:
- 53.402
- from
- 2005=89.349
- to
- 2019=89.349
- min:
- 40.682
- max:
- 89.349
- avg:
- 55.347
- σ:
- 16.845
- from
- 2005=65.578
- to
- 2019=65.578
- min:
- 57.486
- max:
- 65.578
- avg:
- 59.202
- σ:
- 2.017
- from
- 2005=154.927
- to
- 2019=154.927
- min:
- 98.766
- max:
- 154.927
- avg:
- 114.549
- σ:
- 18.399
- from
- 2005=749.654
- to
- 2019=749.654
- min:
- 396.909
- max:
- 749.654
- avg:
- 545.966
- σ:
- 122.874
Series code | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_NAT.SEX_F.A] | 181.901 | 183.036 | 175.173 | 182.284 | 193.699 | 202.056 | 217.223 | 236.768 | 256.66 | 276.884 | 294.371 | 310.654 | 324.457 | 332.573 | 340.87 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_NAT.SEX_M.A] | 183.184 | 185.248 | 186.692 | 187.037 | 186.989 | 189.973 | 194.741 | 199.729 | 202.992 | 205.104 | 206.545 | 205.216 | 203.563 | 212.276 | 220.723 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_NAT.SEX_T.A] | 365.085 | 368.284 | 361.865 | 369.321 | 380.689 | 392.028 | 411.964 | 436.497 | 459.652 | 481.987 | 500.916 | 515.87 | 528.021 | 544.849 | 561.592 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_RUR.SEX_F.A] | 138.352 | 140.272 | 134.377 | 141.602 | 152.309 | 160.267 | 173.376 | 190.17 | 206.928 | 224.052 | 232.997 | 240.16 | 244.196 | 247.828 | 251.521 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_RUR.SEX_M.A] | 123.679 | 125.927 | 127.996 | 128.953 | 129.503 | 132.428 | 136.721 | 141.166 | 144.549 | 147.156 | 147.638 | 146.221 | 144.787 | 150.109 | 155.145 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_RUR.SEX_T.A] | 262.031 | 266.198 | 262.373 | 270.555 | 281.812 | 292.695 | 310.097 | 331.336 | 351.477 | 371.208 | 380.635 | 386.381 | 388.983 | 397.936 | 406.666 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_URB.SEX_F.A] | 43.549 | 42.764 | 40.795 | 40.682 | 41.391 | 41.788 | 43.847 | 46.598 | 49.732 | 52.832 | 61.373 | 70.494 | 80.261 | 84.745 | 89.349 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_URB.SEX_M.A] | 59.505 | 59.322 | 58.696 | 58.084 | 57.486 | 57.544 | 58.02 | 58.562 | 58.443 | 57.947 | 58.908 | 58.995 | 58.777 | 62.167 | 65.578 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_URB.SEX_T.A] | 103.054 | 102.086 | 99.492 | 98.766 | 98.877 | 99.333 | 101.867 | 105.161 | 108.175 | 110.779 | 120.281 | 129.488 | 139.038 | 146.913 | 154.927 |
[AFG.XA_2198.AGE_YTHADULT_YGE15.GEO_COV_NAT.SEX_F.A] | 396.909 | 405.606 | 402.337 | 419.15 | 443.951 | 461.923 | 488.734 | 522.103 | 559.927 | 599.36 | 635.93 | 672.122 | 705.148 | 726.633 | 749.654 |
Showing results 1 - 10 / 7,641