[EMP_2FTE_SEX_JOB_NB] Full-time equivalent employment by sex -- ILO modelled estimates, Nov. 2023 (thousands)
Retrieved by DBnomics on December 18, 2023 (4:52 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
[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
[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
[X58] Southern Asia: Lower-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
[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
[X82] European Union 28
[X83] G20
[X84] ASEAN
[X85] BRICS
[X87] World excluding BRICS
[X88] G7
[X89] MENA
[X90] Arab League
[X91] CARICOM
[X92] European Union 27
[X94] Arab States: Low income
[X97] APEC
[X98] World excluding India and China
[X99] World: Lower-middle income excluding India
[XA1] World: Upper-middle income excluding China
[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_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_16111] ILO - Modelled Estimates
[XA_16212] ILO - Modelled Estimates
[XA_16213] ILO - Modelled Estimates
[XA_16214] 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_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_8432] ILO - Modelled Estimates
[XA_8434] ILO - Modelled Estimates
[XA_8435] ILO - Modelled Estimates
[XA_8436] ILO - Modelled Estimates
[XA_8438] 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_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
[JOB_FTE_FTE40] Full-time equivalence: Based on 40 hours per week
[JOB_FTE_FTE48] Full-time equivalence: Based on 48 hours per week
[sex] Sex
[SEX_F] Sex: Female
[SEX_M] Sex: Male
[SEX_T] Sex: Total
[frequency] Frequency
[A] Annual
Search filters
Reference area [ref_area] (274)
Source [source] (274)
Classification 1 [classif1] (2)
Sex [sex] (3)
Frequency [frequency] (1)
This dataset has 1,644 series:
[AFG.XA_2198.JOB_FTE_FTE40.SEX_F.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Full-time equivalence: Based on 40 hours per week – Sex: Female – Annual
- from
- 2005=563.029
- to
- 2024=169.021
- min:
- 163.263
- max:
- 947.031
- avg:
- 660.823
- σ:
- 247.066
[AFG.XA_2198.JOB_FTE_FTE40.SEX_M.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Full-time equivalence: Based on 40 hours per week – Sex: Male – Annual
- from
- 2005=4,547.503
- to
- 2024=7,232.702
- min:
- 4,547.503
- max:
- 7,674.582
- avg:
- 6,178.929
- σ:
- 1,037.063
[AFG.XA_2198.JOB_FTE_FTE40.SEX_T.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Full-time equivalence: Based on 40 hours per week – Sex: Total – Annual
- from
- 2005=5,110.531
- to
- 2024=7,401.723
- min:
- 5,110.531
- max:
- 8,433.712
- avg:
- 6,839.752
- σ:
- 1,092.077
[AFG.XA_2198.JOB_FTE_FTE48.SEX_F.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Full-time equivalence: Based on 48 hours per week – Sex: Female – Annual
- from
- 2005=469.191
- to
- 2024=140.851
- min:
- 136.053
- max:
- 789.192
- avg:
- 550.686
- σ:
- 205.888
[AFG.XA_2198.JOB_FTE_FTE48.SEX_M.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Full-time equivalence: Based on 48 hours per week – Sex: Male – Annual
- from
- 2005=3,789.585
- to
- 2024=6,027.252
- min:
- 3,789.585
- max:
- 6,395.485
- avg:
- 5,149.107
- σ:
- 864.219
[AFG.XA_2198.JOB_FTE_FTE48.SEX_T.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Full-time equivalence: Based on 48 hours per week – Sex: Total – Annual
- from
- 2005=4,258.776
- to
- 2024=6,168.103
- min:
- 4,258.776
- max:
- 7,028.093
- avg:
- 5,699.793
- σ:
- 910.064
[AGO.XA_2010.JOB_FTE_FTE40.SEX_F.A] Angola – ILO - Modelled Estimates (XA_2010) – Full-time equivalence: Based on 40 hours per week – Sex: Female – Annual
- from
- 2005=3,377.89
- to
- 2024=6,259.873
- min:
- 3,377.89
- max:
- 6,259.873
- avg:
- 4,609.381
- σ:
- 880.56
[AGO.XA_2010.JOB_FTE_FTE40.SEX_M.A] Angola – ILO - Modelled Estimates (XA_2010) – Full-time equivalence: Based on 40 hours per week – Sex: Male – Annual
- from
- 2005=3,685.853
- to
- 2024=7,021.255
- min:
- 3,685.853
- max:
- 7,021.255
- avg:
- 5,147.335
- σ:
- 989.292
[AGO.XA_2010.JOB_FTE_FTE40.SEX_T.A] Angola – ILO - Modelled Estimates (XA_2010) – Full-time equivalence: Based on 40 hours per week – Sex: Total – Annual
- from
- 2005=7,063.743
- to
- 2024=13,281.129
- min:
- 7,063.743
- max:
- 13,281.129
- avg:
- 9,756.716
- σ:
- 1,868.587
[AGO.XA_2010.JOB_FTE_FTE48.SEX_F.A] Angola – ILO - Modelled Estimates (XA_2010) – Full-time equivalence: Based on 48 hours per week – Sex: Female – Annual
- from
- 2005=2,814.909
- to
- 2024=5,216.561
- min:
- 2,814.909
- max:
- 5,216.561
- avg:
- 3,841.151
- σ:
- 733.8
Series code | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[AFG.XA_2198.JOB_FTE_FTE40.SEX_F.A] | 563.029 | 580.428 | 576.621 | 582.631 | 592.422 | 587.65 | 646.897 | 699.402 | 771.522 | 851.952 | 893.004 | 909.741 | 942.432 | 947.031 | 944.545 | 859.592 | 759.129 | 176.153 | 163.263 | 169.021 |
[AFG.XA_2198.JOB_FTE_FTE40.SEX_M.A] | 4547.503 | 4760.242 | 4792.524 | 4881.939 | 5043.94 | 5094.723 | 5430.499 | 5727.79 | 5960.077 | 6215.322 | 6476.472 | 6624.116 | 6858.282 | 7136.323 | 7421.841 | 7429.082 | 7674.582 | 7188.058 | 7082.558 | 7232.702 |
[AFG.XA_2198.JOB_FTE_FTE40.SEX_T.A] | 5110.531 | 5340.669 | 5369.145 | 5464.57 | 5636.362 | 5682.373 | 6077.396 | 6427.193 | 6731.599 | 7067.274 | 7369.476 | 7533.857 | 7800.714 | 8083.354 | 8366.386 | 8288.675 | 8433.712 | 7364.21 | 7245.821 | 7401.723 |
[AFG.XA_2198.JOB_FTE_FTE48.SEX_F.A] | 469.191 | 483.69 | 480.517 | 485.525 | 493.685 | 489.708 | 539.081 | 582.835 | 642.935 | 709.96 | 744.17 | 758.118 | 785.36 | 789.192 | 787.121 | 716.327 | 632.608 | 146.794 | 136.053 | 140.851 |
[AFG.XA_2198.JOB_FTE_FTE48.SEX_M.A] | 3789.585 | 3966.868 | 3993.77 | 4068.283 | 4203.283 | 4245.602 | 4525.416 | 4773.159 | 4966.731 | 5179.435 | 5397.06 | 5520.097 | 5715.235 | 5946.936 | 6184.868 | 6190.902 | 6395.485 | 5990.048 | 5902.131 | 6027.252 |
[AFG.XA_2198.JOB_FTE_FTE48.SEX_T.A] | 4258.776 | 4450.558 | 4474.287 | 4553.808 | 4696.968 | 4735.311 | 5064.497 | 5355.994 | 5609.666 | 5889.395 | 6141.23 | 6278.215 | 6500.595 | 6736.129 | 6971.988 | 6907.229 | 7028.093 | 6136.842 | 6038.184 | 6168.103 |
[AGO.XA_2010.JOB_FTE_FTE40.SEX_F.A] | 3377.89 | 3504.519 | 3620.837 | 3724.562 | 3812.293 | 3851.319 | 3964.153 | 4101.429 | 4180.181 | 4363.59 | 4525.87 | 4714.901 | 4888.186 | 5093.225 | 5299.438 | 5233.287 | 5794.064 | 5832.827 | 6045.18 | 6259.873 |
[AGO.XA_2010.JOB_FTE_FTE40.SEX_M.A] | 3685.853 | 3833.465 | 3969.993 | 4093.748 | 4200.471 | 4335.587 | 4554.937 | 4686.624 | 4751.644 | 4933.223 | 5100.274 | 5295.633 | 5471.909 | 5680.439 | 5888.266 | 5805.653 | 6296.15 | 6558.472 | 6783.11 | 7021.255 |
[AGO.XA_2010.JOB_FTE_FTE40.SEX_T.A] | 7063.743 | 7337.983 | 7590.83 | 7818.309 | 8012.764 | 8186.907 | 8519.09 | 8788.053 | 8931.825 | 9296.813 | 9626.143 | 10010.534 | 10360.095 | 10773.664 | 11187.704 | 11038.94 | 12090.215 | 12391.299 | 12828.289 | 13281.129 |
[AGO.XA_2010.JOB_FTE_FTE48.SEX_F.A] | 2814.909 | 2920.432 | 3017.364 | 3103.801 | 3176.911 | 3209.433 | 3303.461 | 3417.858 | 3483.484 | 3636.325 | 3771.558 | 3929.084 | 4073.489 | 4244.354 | 4416.199 | 4361.072 | 4828.387 | 4860.689 | 5037.65 | 5216.561 |
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Reference area [ref_area] (274)
Source [source] (274)
Classification 1 [classif1] (2)
Sex [sex] (3)
Frequency [frequency] (1)
This dataset has 1,644 series:
[AFG.XA_2198.JOB_FTE_FTE40.SEX_F.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Full-time equivalence: Based on 40 hours per week – Sex: Female – Annual
- from
- 2005=563.029
- to
- 2024=169.021
- min:
- 163.263
- max:
- 947.031
- avg:
- 660.823
- σ:
- 247.066
[AFG.XA_2198.JOB_FTE_FTE40.SEX_M.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Full-time equivalence: Based on 40 hours per week – Sex: Male – Annual
- from
- 2005=4,547.503
- to
- 2024=7,232.702
- min:
- 4,547.503
- max:
- 7,674.582
- avg:
- 6,178.929
- σ:
- 1,037.063
[AFG.XA_2198.JOB_FTE_FTE40.SEX_T.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Full-time equivalence: Based on 40 hours per week – Sex: Total – Annual
- from
- 2005=5,110.531
- to
- 2024=7,401.723
- min:
- 5,110.531
- max:
- 8,433.712
- avg:
- 6,839.752
- σ:
- 1,092.077
[AFG.XA_2198.JOB_FTE_FTE48.SEX_F.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Full-time equivalence: Based on 48 hours per week – Sex: Female – Annual
- from
- 2005=469.191
- to
- 2024=140.851
- min:
- 136.053
- max:
- 789.192
- avg:
- 550.686
- σ:
- 205.888
[AFG.XA_2198.JOB_FTE_FTE48.SEX_M.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Full-time equivalence: Based on 48 hours per week – Sex: Male – Annual
- from
- 2005=3,789.585
- to
- 2024=6,027.252
- min:
- 3,789.585
- max:
- 6,395.485
- avg:
- 5,149.107
- σ:
- 864.219
[AFG.XA_2198.JOB_FTE_FTE48.SEX_T.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Full-time equivalence: Based on 48 hours per week – Sex: Total – Annual
- from
- 2005=4,258.776
- to
- 2024=6,168.103
- min:
- 4,258.776
- max:
- 7,028.093
- avg:
- 5,699.793
- σ:
- 910.064
[AGO.XA_2010.JOB_FTE_FTE40.SEX_F.A] Angola – ILO - Modelled Estimates (XA_2010) – Full-time equivalence: Based on 40 hours per week – Sex: Female – Annual
- from
- 2005=3,377.89
- to
- 2024=6,259.873
- min:
- 3,377.89
- max:
- 6,259.873
- avg:
- 4,609.381
- σ:
- 880.56
[AGO.XA_2010.JOB_FTE_FTE40.SEX_M.A] Angola – ILO - Modelled Estimates (XA_2010) – Full-time equivalence: Based on 40 hours per week – Sex: Male – Annual
- from
- 2005=3,685.853
- to
- 2024=7,021.255
- min:
- 3,685.853
- max:
- 7,021.255
- avg:
- 5,147.335
- σ:
- 989.292
[AGO.XA_2010.JOB_FTE_FTE40.SEX_T.A] Angola – ILO - Modelled Estimates (XA_2010) – Full-time equivalence: Based on 40 hours per week – Sex: Total – Annual
- from
- 2005=7,063.743
- to
- 2024=13,281.129
- min:
- 7,063.743
- max:
- 13,281.129
- avg:
- 9,756.716
- σ:
- 1,868.587
[AGO.XA_2010.JOB_FTE_FTE48.SEX_F.A] Angola – ILO - Modelled Estimates (XA_2010) – Full-time equivalence: Based on 48 hours per week – Sex: Female – Annual
- from
- 2005=2,814.909
- to
- 2024=5,216.561
- min:
- 2,814.909
- max:
- 5,216.561
- avg:
- 3,841.151
- σ:
- 733.8
Series code | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[AFG.XA_2198.JOB_FTE_FTE40.SEX_F.A] | 563.029 | 580.428 | 576.621 | 582.631 | 592.422 | 587.65 | 646.897 | 699.402 | 771.522 | 851.952 | 893.004 | 909.741 | 942.432 | 947.031 | 944.545 | 859.592 | 759.129 | 176.153 | 163.263 | 169.021 |
[AFG.XA_2198.JOB_FTE_FTE40.SEX_M.A] | 4547.503 | 4760.242 | 4792.524 | 4881.939 | 5043.94 | 5094.723 | 5430.499 | 5727.79 | 5960.077 | 6215.322 | 6476.472 | 6624.116 | 6858.282 | 7136.323 | 7421.841 | 7429.082 | 7674.582 | 7188.058 | 7082.558 | 7232.702 |
[AFG.XA_2198.JOB_FTE_FTE40.SEX_T.A] | 5110.531 | 5340.669 | 5369.145 | 5464.57 | 5636.362 | 5682.373 | 6077.396 | 6427.193 | 6731.599 | 7067.274 | 7369.476 | 7533.857 | 7800.714 | 8083.354 | 8366.386 | 8288.675 | 8433.712 | 7364.21 | 7245.821 | 7401.723 |
[AFG.XA_2198.JOB_FTE_FTE48.SEX_F.A] | 469.191 | 483.69 | 480.517 | 485.525 | 493.685 | 489.708 | 539.081 | 582.835 | 642.935 | 709.96 | 744.17 | 758.118 | 785.36 | 789.192 | 787.121 | 716.327 | 632.608 | 146.794 | 136.053 | 140.851 |
[AFG.XA_2198.JOB_FTE_FTE48.SEX_M.A] | 3789.585 | 3966.868 | 3993.77 | 4068.283 | 4203.283 | 4245.602 | 4525.416 | 4773.159 | 4966.731 | 5179.435 | 5397.06 | 5520.097 | 5715.235 | 5946.936 | 6184.868 | 6190.902 | 6395.485 | 5990.048 | 5902.131 | 6027.252 |
[AFG.XA_2198.JOB_FTE_FTE48.SEX_T.A] | 4258.776 | 4450.558 | 4474.287 | 4553.808 | 4696.968 | 4735.311 | 5064.497 | 5355.994 | 5609.666 | 5889.395 | 6141.23 | 6278.215 | 6500.595 | 6736.129 | 6971.988 | 6907.229 | 7028.093 | 6136.842 | 6038.184 | 6168.103 |
[AGO.XA_2010.JOB_FTE_FTE40.SEX_F.A] | 3377.89 | 3504.519 | 3620.837 | 3724.562 | 3812.293 | 3851.319 | 3964.153 | 4101.429 | 4180.181 | 4363.59 | 4525.87 | 4714.901 | 4888.186 | 5093.225 | 5299.438 | 5233.287 | 5794.064 | 5832.827 | 6045.18 | 6259.873 |
[AGO.XA_2010.JOB_FTE_FTE40.SEX_M.A] | 3685.853 | 3833.465 | 3969.993 | 4093.748 | 4200.471 | 4335.587 | 4554.937 | 4686.624 | 4751.644 | 4933.223 | 5100.274 | 5295.633 | 5471.909 | 5680.439 | 5888.266 | 5805.653 | 6296.15 | 6558.472 | 6783.11 | 7021.255 |
[AGO.XA_2010.JOB_FTE_FTE40.SEX_T.A] | 7063.743 | 7337.983 | 7590.83 | 7818.309 | 8012.764 | 8186.907 | 8519.09 | 8788.053 | 8931.825 | 9296.813 | 9626.143 | 10010.534 | 10360.095 | 10773.664 | 11187.704 | 11038.94 | 12090.215 | 12391.299 | 12828.289 | 13281.129 |
[AGO.XA_2010.JOB_FTE_FTE48.SEX_F.A] | 2814.909 | 2920.432 | 3017.364 | 3103.801 | 3176.911 | 3209.433 | 3303.461 | 3417.858 | 3483.484 | 3636.325 | 3771.558 | 3929.084 | 4073.489 | 4244.354 | 4416.199 | 4361.072 | 4828.387 | 4860.689 | 5037.65 | 5216.561 |
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