[EIP_2WAP_SEX_AGE_GEO_RT] Inactivity rate by sex, age and rural / urban areas -- ILO modelled estimates, Nov. 2021 (%)
Retrieved by 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
[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
[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
[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
[X23]   Americas: Lower-middle income
[X24]   Americas: Upper-middle income
[X25]   Americas: High income
[X26]   Latin America and the Caribbean
[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
[X80]   Northern Africa: Low 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
[X94]   Arab States: 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_15736]   ILO - Modelled Estimates
[XA_15966]   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_1928]   ILO - Modelled Estimates
[XA_1931]   ILO - Modelled Estimates
[XA_1932]   ILO - Modelled Estimates
[XA_1934]   ILO - Modelled Estimates
[XA_1935]   ILO - Modelled Estimates
[XA_1936]   ILO - Modelled Estimates
[XA_1937]   ILO - Modelled Estimates
[XA_1938]   ILO - Modelled Estimates
[XA_1939]   ILO - Modelled Estimates
[XA_1940]   ILO - Modelled Estimates
[XA_1942]   ILO - Modelled Estimates
[XA_1943]   ILO - Modelled Estimates
[XA_1944]   ILO - Modelled Estimates
[XA_1946]   ILO - Modelled Estimates
[XA_1947]   ILO - Modelled Estimates
[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_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_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_8415]   ILO - Modelled Estimates
[XA_8416]   ILO - Modelled Estimates
[XA_8417]   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]    (275)
 Source [source]    (275)
 Classification 1 [classif1]    (3)
 Classification 2 [classif2]    (3)
 Sex [sex]    (3)
 Frequency [frequency]    (1)
 This dataset has 7,425 series:
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_NAT.SEX_F.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15-24 – Area type: National – Sex: Female – Annual
- from
- 2005=85.421
- to
- 2020=83.932
- min:
- 79.586
- max:
- 86.459
- avg:
- 83.981
- σ:
- 2.377
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_NAT.SEX_M.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15-24 – Area type: National – Sex: Male – Annual
- from
- 2005=37.83
- to
- 2020=48.902
- min:
- 37.83
- max:
- 48.902
- avg:
- 40.067
- σ:
- 2.774
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_NAT.SEX_T.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15-24 – Area type: National – Sex: Total – Annual
- from
- 2005=60.625
- to
- 2020=65.937
- min:
- 60.463
- max:
- 65.937
- avg:
- 61.3
- σ:
- 1.247
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_RUR.SEX_F.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15-24 – Area type: Rural – Sex: Female – Annual
- from
- 2005=82.915
- to
- 2020=81.456
- min:
- 77.063
- max:
- 84.129
- avg:
- 81.662
- σ:
- 2.224
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_RUR.SEX_M.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15-24 – Area type: Rural – Sex: Male – Annual
- from
- 2005=31.881
- to
- 2020=43.491
- min:
- 31.881
- max:
- 43.491
- avg:
- 34.878
- σ:
- 3.345
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_RUR.SEX_T.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15-24 – Area type: Rural – Sex: Total – Annual
- from
- 2005=56.229
- to
- 2020=62.03
- min:
- 56.229
- max:
- 62.03
- avg:
- 57.419
- σ:
- 1.3
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_URB.SEX_F.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15-24 – Area type: Urban – Sex: Female – Annual
- from
- 2005=90.505
- to
- 2020=89.939
- min:
- 83.842
- max:
- 91.711
- avg:
- 89.397
- σ:
- 2.576
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_URB.SEX_M.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15-24 – Area type: Urban – Sex: Male – Annual
- from
- 2005=50.181
- to
- 2020=61.673
- min:
- 49.408
- max:
- 61.673
- avg:
- 52.356
- σ:
- 2.688
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_URB.SEX_T.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15-24 – Area type: Urban – Sex: Total – Annual
- from
- 2005=69.651
- to
- 2020=75.282
- min:
- 66.398
- max:
- 75.282
- avg:
- 70.415
- σ:
- 1.902
[AFG.XA_2198.AGE_YTHADULT_YGE15.GEO_COV_NAT.SEX_F.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15+ – Area type: National – Sex: Female – Annual
- from
- 2005=84.356
- to
- 2020=83.811
- min:
- 78.434
- max:
- 84.924
- avg:
- 82.751
- σ:
- 2.326
| Series code | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| [AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_NAT.SEX_F.A] | 85.421 | 85.737 | 86.046 | 86.299 | 86.447 | 86.459 | 85.999 | 85.42 | 84.493 | 83.522 | 82.509 | 81.463 | 80.385 | 79.981 | 79.586 | 83.932 | 
| [AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_NAT.SEX_M.A] | 37.83 | 37.933 | 38.025 | 38.123 | 38.239 | 38.369 | 38.402 | 38.439 | 39.046 | 39.693 | 40.388 | 41.158 | 41.987 | 42.172 | 42.371 | 48.902 | 
| [AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_NAT.SEX_T.A] | 60.625 | 60.91 | 61.175 | 61.395 | 61.546 | 61.613 | 61.397 | 61.136 | 61.013 | 60.898 | 60.796 | 60.713 | 60.634 | 60.545 | 60.463 | 65.937 | 
| [AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_RUR.SEX_F.A] | 82.915 | 83.28 | 83.638 | 83.933 | 84.108 | 84.129 | 83.605 | 82.945 | 81.888 | 80.783 | 80.157 | 79.573 | 79.055 | 78.058 | 77.063 | 81.456 | 
| [AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_RUR.SEX_M.A] | 31.881 | 31.979 | 32.069 | 32.173 | 32.31 | 32.478 | 32.575 | 32.682 | 33.446 | 34.251 | 35.887 | 37.56 | 39.253 | 38.434 | 37.585 | 43.491 | 
| [AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_RUR.SEX_T.A] | 56.229 | 56.539 | 56.83 | 57.076 | 57.252 | 57.343 | 57.129 | 56.867 | 56.766 | 56.675 | 57.236 | 57.834 | 58.465 | 57.638 | 56.792 | 62.03 | 
| [AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_URB.SEX_F.A] | 90.505 | 90.824 | 91.134 | 91.404 | 91.602 | 91.711 | 91.524 | 91.27 | 90.805 | 90.326 | 88.444 | 86.306 | 83.842 | 84.866 | 85.849 | 89.939 | 
| [AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_URB.SEX_M.A] | 50.181 | 50.551 | 50.917 | 51.279 | 51.642 | 51.992 | 52.204 | 52.411 | 52.982 | 53.581 | 52.113 | 50.725 | 49.408 | 51.845 | 54.197 | 61.673 | 
| [AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_URB.SEX_T.A] | 69.651 | 70.068 | 70.469 | 70.831 | 71.135 | 71.368 | 71.38 | 71.366 | 71.444 | 71.537 | 69.925 | 68.227 | 66.398 | 68.001 | 69.555 | 75.282 | 
| [AFG.XA_2198.AGE_YTHADULT_YGE15.GEO_COV_NAT.SEX_F.A] | 84.356 | 84.545 | 84.725 | 84.863 | 84.924 | 84.889 | 84.546 | 84.121 | 83.206 | 82.251 | 81.254 | 80.202 | 79.113 | 78.772 | 78.434 | 83.811 | 
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   Reference area [ref_area]    (275)
 Source [source]    (275)
 Classification 1 [classif1]    (3)
 Classification 2 [classif2]    (3)
 Sex [sex]    (3)
 Frequency [frequency]    (1)
 This dataset has 7,425 series:
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_NAT.SEX_F.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15-24 – Area type: National – Sex: Female – Annual
- from
- 2005=85.421
- to
- 2020=83.932
- min:
- 79.586
- max:
- 86.459
- avg:
- 83.981
- σ:
- 2.377
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_NAT.SEX_M.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15-24 – Area type: National – Sex: Male – Annual
- from
- 2005=37.83
- to
- 2020=48.902
- min:
- 37.83
- max:
- 48.902
- avg:
- 40.067
- σ:
- 2.774
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_NAT.SEX_T.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15-24 – Area type: National – Sex: Total – Annual
- from
- 2005=60.625
- to
- 2020=65.937
- min:
- 60.463
- max:
- 65.937
- avg:
- 61.3
- σ:
- 1.247
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_RUR.SEX_F.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15-24 – Area type: Rural – Sex: Female – Annual
- from
- 2005=82.915
- to
- 2020=81.456
- min:
- 77.063
- max:
- 84.129
- avg:
- 81.662
- σ:
- 2.224
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_RUR.SEX_M.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15-24 – Area type: Rural – Sex: Male – Annual
- from
- 2005=31.881
- to
- 2020=43.491
- min:
- 31.881
- max:
- 43.491
- avg:
- 34.878
- σ:
- 3.345
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_RUR.SEX_T.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15-24 – Area type: Rural – Sex: Total – Annual
- from
- 2005=56.229
- to
- 2020=62.03
- min:
- 56.229
- max:
- 62.03
- avg:
- 57.419
- σ:
- 1.3
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_URB.SEX_F.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15-24 – Area type: Urban – Sex: Female – Annual
- from
- 2005=90.505
- to
- 2020=89.939
- min:
- 83.842
- max:
- 91.711
- avg:
- 89.397
- σ:
- 2.576
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_URB.SEX_M.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15-24 – Area type: Urban – Sex: Male – Annual
- from
- 2005=50.181
- to
- 2020=61.673
- min:
- 49.408
- max:
- 61.673
- avg:
- 52.356
- σ:
- 2.688
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_URB.SEX_T.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15-24 – Area type: Urban – Sex: Total – Annual
- from
- 2005=69.651
- to
- 2020=75.282
- min:
- 66.398
- max:
- 75.282
- avg:
- 70.415
- σ:
- 1.902
[AFG.XA_2198.AGE_YTHADULT_YGE15.GEO_COV_NAT.SEX_F.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15+ – Area type: National – Sex: Female – Annual
- from
- 2005=84.356
- to
- 2020=83.811
- min:
- 78.434
- max:
- 84.924
- avg:
- 82.751
- σ:
- 2.326
| Series code | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| [AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_NAT.SEX_F.A] | 85.421 | 85.737 | 86.046 | 86.299 | 86.447 | 86.459 | 85.999 | 85.42 | 84.493 | 83.522 | 82.509 | 81.463 | 80.385 | 79.981 | 79.586 | 83.932 | 
| [AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_NAT.SEX_M.A] | 37.83 | 37.933 | 38.025 | 38.123 | 38.239 | 38.369 | 38.402 | 38.439 | 39.046 | 39.693 | 40.388 | 41.158 | 41.987 | 42.172 | 42.371 | 48.902 | 
| [AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_NAT.SEX_T.A] | 60.625 | 60.91 | 61.175 | 61.395 | 61.546 | 61.613 | 61.397 | 61.136 | 61.013 | 60.898 | 60.796 | 60.713 | 60.634 | 60.545 | 60.463 | 65.937 | 
| [AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_RUR.SEX_F.A] | 82.915 | 83.28 | 83.638 | 83.933 | 84.108 | 84.129 | 83.605 | 82.945 | 81.888 | 80.783 | 80.157 | 79.573 | 79.055 | 78.058 | 77.063 | 81.456 | 
| [AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_RUR.SEX_M.A] | 31.881 | 31.979 | 32.069 | 32.173 | 32.31 | 32.478 | 32.575 | 32.682 | 33.446 | 34.251 | 35.887 | 37.56 | 39.253 | 38.434 | 37.585 | 43.491 | 
| [AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_RUR.SEX_T.A] | 56.229 | 56.539 | 56.83 | 57.076 | 57.252 | 57.343 | 57.129 | 56.867 | 56.766 | 56.675 | 57.236 | 57.834 | 58.465 | 57.638 | 56.792 | 62.03 | 
| [AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_URB.SEX_F.A] | 90.505 | 90.824 | 91.134 | 91.404 | 91.602 | 91.711 | 91.524 | 91.27 | 90.805 | 90.326 | 88.444 | 86.306 | 83.842 | 84.866 | 85.849 | 89.939 | 
| [AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_URB.SEX_M.A] | 50.181 | 50.551 | 50.917 | 51.279 | 51.642 | 51.992 | 52.204 | 52.411 | 52.982 | 53.581 | 52.113 | 50.725 | 49.408 | 51.845 | 54.197 | 61.673 | 
| [AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_URB.SEX_T.A] | 69.651 | 70.068 | 70.469 | 70.831 | 71.135 | 71.368 | 71.38 | 71.366 | 71.444 | 71.537 | 69.925 | 68.227 | 66.398 | 68.001 | 69.555 | 75.282 | 
| [AFG.XA_2198.AGE_YTHADULT_YGE15.GEO_COV_NAT.SEX_F.A] | 84.356 | 84.545 | 84.725 | 84.863 | 84.924 | 84.889 | 84.546 | 84.121 | 83.206 | 82.251 | 81.254 | 80.202 | 79.113 | 78.772 | 78.434 | 83.811 | 
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