[EMP_2EMP_SEX_GEO_ECO_NB] Employment by sex, rural / urban areas and economic activity -- ILO modelled estimates, Nov. 2020 (thousands)
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
[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
[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_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
 [GEO_COV_NAT]   Area type: National
[GEO_COV_RUR]   Area type: Rural
[GEO_COV_URB]   Area type: Urban
 [classif2]   Classification 2
 [ECO_SECTOR_AGR]   Economic activity (Broad sector): Agriculture
[ECO_SECTOR_IND]   Economic activity (Broad sector): Industry
[ECO_SECTOR_SER]   Economic activity (Broad sector): Services
[ECO_SECTOR_TOTAL]   Economic activity (Broad sector): Total
 [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]    (4)
 Sex [sex]    (3)
 Frequency [frequency]    (1)
 This dataset has 10,188 series:
[AFG.XA_2198.GEO_COV_NAT.ECO_SECTOR_AGR.SEX_F.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Area type: National – Economic activity (Broad sector): Agriculture – Sex: Female – Annual
- from
 - 2005=674.686
 
- to
 - 2019=1,294.476
 
- min:
 - 674.686
 
- max:
 - 1,294.476
 
- avg:
 - 880.128
 
- σ:
 - 219.749
 
[AFG.XA_2198.GEO_COV_NAT.ECO_SECTOR_AGR.SEX_M.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Area type: National – Economic activity (Broad sector): Agriculture – Sex: Male – Annual
- from
 - 2005=2,889.808
 
- to
 - 2019=2,757.806
 
- min:
 - 2,703.958
 
- max:
 - 2,937.88
 
- avg:
 - 2,827.885
 
- σ:
 - 69.861
 
[AFG.XA_2198.GEO_COV_NAT.ECO_SECTOR_AGR.SEX_T.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Area type: National – Economic activity (Broad sector): Agriculture – Sex: Total – Annual
- from
 - 2005=3,564.494
 
- to
 - 2019=4,052.282
 
- min:
 - 3,484.864
 
- max:
 - 4,052.282
 
- avg:
 - 3,708.013
 
- σ:
 - 167.259
 
[AFG.XA_2198.GEO_COV_NAT.ECO_SECTOR_IND.SEX_F.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Area type: National – Economic activity (Broad sector): Industry – Sex: Female – Annual
- from
 - 2005=99.611
 
- to
 - 2019=498.524
 
- min:
 - 99.611
 
- max:
 - 498.524
 
- avg:
 - 248.018
 
- σ:
 - 134.512
 
[AFG.XA_2198.GEO_COV_NAT.ECO_SECTOR_IND.SEX_M.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Area type: National – Economic activity (Broad sector): Industry – Sex: Male – Annual
- from
 - 2005=550.351
 
- to
 - 2019=1,269.473
 
- min:
 - 550.351
 
- max:
 - 1,269.473
 
- avg:
 - 893.843
 
- σ:
 - 233.576
 
[AFG.XA_2198.GEO_COV_NAT.ECO_SECTOR_IND.SEX_T.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Area type: National – Economic activity (Broad sector): Industry – Sex: Total – Annual
- from
 - 2005=649.962
 
- to
 - 2019=1,767.997
 
- min:
 - 649.962
 
- max:
 - 1,767.997
 
- avg:
 - 1,141.861
 
- σ:
 - 365.871
 
[AFG.XA_2198.GEO_COV_NAT.ECO_SECTOR_SER.SEX_F.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Area type: National – Economic activity (Broad sector): Services – Sex: Female – Annual
- from
 - 2005=89.641
 
- to
 - 2019=199.642
 
- min:
 - 89.641
 
- max:
 - 199.642
 
- avg:
 - 126.114
 
- σ:
 - 34.29
 
[AFG.XA_2198.GEO_COV_NAT.ECO_SECTOR_SER.SEX_M.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Area type: National – Economic activity (Broad sector): Services – Sex: Male – Annual
- from
 - 2005=1,433.115
 
- to
 - 2019=3,507.107
 
- min:
 - 1,433.115
 
- max:
 - 3,507.107
 
- avg:
 - 2,307.707
 
- σ:
 - 686.964
 
[AFG.XA_2198.GEO_COV_NAT.ECO_SECTOR_SER.SEX_T.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Area type: National – Economic activity (Broad sector): Services – Sex: Total – Annual
- from
 - 2005=1,522.757
 
- to
 - 2019=3,706.749
 
- min:
 - 1,522.757
 
- max:
 - 3,706.749
 
- avg:
 - 2,433.821
 
- σ:
 - 720.396
 
[AFG.XA_2198.GEO_COV_NAT.ECO_SECTOR_TOTAL.SEX_F.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Area type: National – Economic activity (Broad sector): Total – Sex: Female – Annual
- from
 - 2005=863.938
 
- to
 - 2019=1,992.642
 
- min:
 - 863.938
 
- max:
 - 1,992.642
 
- avg:
 - 1,254.26
 
- σ:
 - 387.775
 
| Series code | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| [AFG.XA_2198.GEO_COV_NAT.ECO_SECTOR_AGR.SEX_F.A] | 674.686 | 685.708 | 680.827 | 692.863 | 683.356 | 693.838 | 731.513 | 768.112 | 841.107 | 922.471 | 1011.586 | 1097.317 | 1182.632 | 1241.424 | 1294.476 | 
| [AFG.XA_2198.GEO_COV_NAT.ECO_SECTOR_AGR.SEX_M.A] | 2889.808 | 2923.838 | 2934.463 | 2937.88 | 2857.391 | 2791.026 | 2834.407 | 2820.871 | 2820.467 | 2825.053 | 2815.758 | 2789.016 | 2703.958 | 2716.535 | 2757.806 | 
| [AFG.XA_2198.GEO_COV_NAT.ECO_SECTOR_AGR.SEX_T.A] | 3564.494 | 3609.546 | 3615.29 | 3630.743 | 3540.747 | 3484.864 | 3565.92 | 3588.983 | 3661.574 | 3747.524 | 3827.344 | 3886.333 | 3886.59 | 3957.96 | 4052.282 | 
| [AFG.XA_2198.GEO_COV_NAT.ECO_SECTOR_IND.SEX_F.A] | 99.611 | 104.19 | 113.086 | 117.516 | 136.337 | 156.492 | 174.768 | 205.517 | 241.699 | 281.195 | 322.653 | 372.537 | 433.57 | 462.572 | 498.524 | 
| [AFG.XA_2198.GEO_COV_NAT.ECO_SECTOR_IND.SEX_M.A] | 550.351 | 590.19 | 620.435 | 646.521 | 712.124 | 779.024 | 806.806 | 895.625 | 958.498 | 1017.344 | 1073.614 | 1097.179 | 1159.128 | 1231.33 | 1269.473 | 
| [AFG.XA_2198.GEO_COV_NAT.ECO_SECTOR_IND.SEX_T.A] | 649.962 | 694.379 | 733.521 | 764.037 | 848.461 | 935.517 | 981.574 | 1101.142 | 1200.198 | 1298.538 | 1396.267 | 1469.716 | 1592.698 | 1693.902 | 1767.997 | 
| [AFG.XA_2198.GEO_COV_NAT.ECO_SECTOR_SER.SEX_F.A] | 89.641 | 93.333 | 97.444 | 99.36 | 101.032 | 101.399 | 104.027 | 109.002 | 118.95 | 129.763 | 140.484 | 154.404 | 169.733 | 183.498 | 199.642 | 
| [AFG.XA_2198.GEO_COV_NAT.ECO_SECTOR_SER.SEX_M.A] | 1433.115 | 1493.406 | 1567.598 | 1628.796 | 1733.114 | 1861.314 | 2005.004 | 2183.241 | 2368.394 | 2564.887 | 2767.125 | 2973.896 | 3186.337 | 3342.269 | 3507.107 | 
| [AFG.XA_2198.GEO_COV_NAT.ECO_SECTOR_SER.SEX_T.A] | 1522.757 | 1586.739 | 1665.042 | 1728.156 | 1834.146 | 1962.713 | 2109.031 | 2292.243 | 2487.343 | 2694.65 | 2907.609 | 3128.3 | 3356.07 | 3525.767 | 3706.749 | 
| [AFG.XA_2198.GEO_COV_NAT.ECO_SECTOR_TOTAL.SEX_F.A] | 863.938 | 883.231 | 891.357 | 909.739 | 920.725 | 951.729 | 1010.308 | 1082.631 | 1201.755 | 1333.428 | 1474.723 | 1624.259 | 1785.935 | 1887.494 | 1992.642 | 
Loading chart 
  Search filters
   Reference area [ref_area]    (283)
 Source [source]    (283)
 Classification 1 [classif1]    (3)
 Classification 2 [classif2]    (4)
 Sex [sex]    (3)
 Frequency [frequency]    (1)
 This dataset has 10,188 series:
[AFG.XA_2198.GEO_COV_NAT.ECO_SECTOR_AGR.SEX_F.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Area type: National – Economic activity (Broad sector): Agriculture – Sex: Female – Annual
- from
 - 2005=674.686
 
- to
 - 2019=1,294.476
 
- min:
 - 674.686
 
- max:
 - 1,294.476
 
- avg:
 - 880.128
 
- σ:
 - 219.749
 
[AFG.XA_2198.GEO_COV_NAT.ECO_SECTOR_AGR.SEX_M.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Area type: National – Economic activity (Broad sector): Agriculture – Sex: Male – Annual
- from
 - 2005=2,889.808
 
- to
 - 2019=2,757.806
 
- min:
 - 2,703.958
 
- max:
 - 2,937.88
 
- avg:
 - 2,827.885
 
- σ:
 - 69.861
 
[AFG.XA_2198.GEO_COV_NAT.ECO_SECTOR_AGR.SEX_T.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Area type: National – Economic activity (Broad sector): Agriculture – Sex: Total – Annual
- from
 - 2005=3,564.494
 
- to
 - 2019=4,052.282
 
- min:
 - 3,484.864
 
- max:
 - 4,052.282
 
- avg:
 - 3,708.013
 
- σ:
 - 167.259
 
[AFG.XA_2198.GEO_COV_NAT.ECO_SECTOR_IND.SEX_F.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Area type: National – Economic activity (Broad sector): Industry – Sex: Female – Annual
- from
 - 2005=99.611
 
- to
 - 2019=498.524
 
- min:
 - 99.611
 
- max:
 - 498.524
 
- avg:
 - 248.018
 
- σ:
 - 134.512
 
[AFG.XA_2198.GEO_COV_NAT.ECO_SECTOR_IND.SEX_M.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Area type: National – Economic activity (Broad sector): Industry – Sex: Male – Annual
- from
 - 2005=550.351
 
- to
 - 2019=1,269.473
 
- min:
 - 550.351
 
- max:
 - 1,269.473
 
- avg:
 - 893.843
 
- σ:
 - 233.576
 
[AFG.XA_2198.GEO_COV_NAT.ECO_SECTOR_IND.SEX_T.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Area type: National – Economic activity (Broad sector): Industry – Sex: Total – Annual
- from
 - 2005=649.962
 
- to
 - 2019=1,767.997
 
- min:
 - 649.962
 
- max:
 - 1,767.997
 
- avg:
 - 1,141.861
 
- σ:
 - 365.871
 
[AFG.XA_2198.GEO_COV_NAT.ECO_SECTOR_SER.SEX_F.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Area type: National – Economic activity (Broad sector): Services – Sex: Female – Annual
- from
 - 2005=89.641
 
- to
 - 2019=199.642
 
- min:
 - 89.641
 
- max:
 - 199.642
 
- avg:
 - 126.114
 
- σ:
 - 34.29
 
[AFG.XA_2198.GEO_COV_NAT.ECO_SECTOR_SER.SEX_M.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Area type: National – Economic activity (Broad sector): Services – Sex: Male – Annual
- from
 - 2005=1,433.115
 
- to
 - 2019=3,507.107
 
- min:
 - 1,433.115
 
- max:
 - 3,507.107
 
- avg:
 - 2,307.707
 
- σ:
 - 686.964
 
[AFG.XA_2198.GEO_COV_NAT.ECO_SECTOR_SER.SEX_T.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Area type: National – Economic activity (Broad sector): Services – Sex: Total – Annual
- from
 - 2005=1,522.757
 
- to
 - 2019=3,706.749
 
- min:
 - 1,522.757
 
- max:
 - 3,706.749
 
- avg:
 - 2,433.821
 
- σ:
 - 720.396
 
[AFG.XA_2198.GEO_COV_NAT.ECO_SECTOR_TOTAL.SEX_F.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Area type: National – Economic activity (Broad sector): Total – Sex: Female – Annual
- from
 - 2005=863.938
 
- to
 - 2019=1,992.642
 
- min:
 - 863.938
 
- max:
 - 1,992.642
 
- avg:
 - 1,254.26
 
- σ:
 - 387.775
 
| Series code | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| [AFG.XA_2198.GEO_COV_NAT.ECO_SECTOR_AGR.SEX_F.A] | 674.686 | 685.708 | 680.827 | 692.863 | 683.356 | 693.838 | 731.513 | 768.112 | 841.107 | 922.471 | 1011.586 | 1097.317 | 1182.632 | 1241.424 | 1294.476 | 
| [AFG.XA_2198.GEO_COV_NAT.ECO_SECTOR_AGR.SEX_M.A] | 2889.808 | 2923.838 | 2934.463 | 2937.88 | 2857.391 | 2791.026 | 2834.407 | 2820.871 | 2820.467 | 2825.053 | 2815.758 | 2789.016 | 2703.958 | 2716.535 | 2757.806 | 
| [AFG.XA_2198.GEO_COV_NAT.ECO_SECTOR_AGR.SEX_T.A] | 3564.494 | 3609.546 | 3615.29 | 3630.743 | 3540.747 | 3484.864 | 3565.92 | 3588.983 | 3661.574 | 3747.524 | 3827.344 | 3886.333 | 3886.59 | 3957.96 | 4052.282 | 
| [AFG.XA_2198.GEO_COV_NAT.ECO_SECTOR_IND.SEX_F.A] | 99.611 | 104.19 | 113.086 | 117.516 | 136.337 | 156.492 | 174.768 | 205.517 | 241.699 | 281.195 | 322.653 | 372.537 | 433.57 | 462.572 | 498.524 | 
| [AFG.XA_2198.GEO_COV_NAT.ECO_SECTOR_IND.SEX_M.A] | 550.351 | 590.19 | 620.435 | 646.521 | 712.124 | 779.024 | 806.806 | 895.625 | 958.498 | 1017.344 | 1073.614 | 1097.179 | 1159.128 | 1231.33 | 1269.473 | 
| [AFG.XA_2198.GEO_COV_NAT.ECO_SECTOR_IND.SEX_T.A] | 649.962 | 694.379 | 733.521 | 764.037 | 848.461 | 935.517 | 981.574 | 1101.142 | 1200.198 | 1298.538 | 1396.267 | 1469.716 | 1592.698 | 1693.902 | 1767.997 | 
| [AFG.XA_2198.GEO_COV_NAT.ECO_SECTOR_SER.SEX_F.A] | 89.641 | 93.333 | 97.444 | 99.36 | 101.032 | 101.399 | 104.027 | 109.002 | 118.95 | 129.763 | 140.484 | 154.404 | 169.733 | 183.498 | 199.642 | 
| [AFG.XA_2198.GEO_COV_NAT.ECO_SECTOR_SER.SEX_M.A] | 1433.115 | 1493.406 | 1567.598 | 1628.796 | 1733.114 | 1861.314 | 2005.004 | 2183.241 | 2368.394 | 2564.887 | 2767.125 | 2973.896 | 3186.337 | 3342.269 | 3507.107 | 
| [AFG.XA_2198.GEO_COV_NAT.ECO_SECTOR_SER.SEX_T.A] | 1522.757 | 1586.739 | 1665.042 | 1728.156 | 1834.146 | 1962.713 | 2109.031 | 2292.243 | 2487.343 | 2694.65 | 2907.609 | 3128.3 | 3356.07 | 3525.767 | 3706.749 | 
| [AFG.XA_2198.GEO_COV_NAT.ECO_SECTOR_TOTAL.SEX_F.A] | 863.938 | 883.231 | 891.357 | 909.739 | 920.725 | 951.729 | 1010.308 | 1082.631 | 1201.755 | 1333.428 | 1474.723 | 1624.259 | 1785.935 | 1887.494 | 1992.642 | 
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