[EMP_2EMP_SEX_OCU_NB] Employment by sex and occupation -- ILO modelled estimates, Nov. 2023 (thousands)
Retrieved by DBnomics on December 18, 2023 (4:52 AM).
[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
[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
[OCU_DETAILS_1] Occupation (Detailed): 1. Managers
[OCU_DETAILS_2] Occupation (Detailed): 2. Professionals
[OCU_DETAILS_3] Occupation (Detailed): 3. Technicians and associate professionals
[OCU_DETAILS_4] Occupation (Detailed): 4. Clerical support workers
[OCU_DETAILS_5] Occupation (Detailed): 5. Service and sales workers
[OCU_DETAILS_7] Occupation (Detailed): 7. Craft and related trades workers
[OCU_DETAILS_8] Occupation (Detailed): 8. Plant and machine operators, and assemblers
[OCU_DETAILS_96] Occupation (Detailed): 96. Elementary occupations and skilled agricultural, forestry and fishery workers
[OCU_DETAILS_TOTAL] Occupation (Detailed): Total
[SEX_F] Sex: Female
[SEX_M] Sex: Male
[SEX_T] Sex: Total
[A] Annual
Search filters
Reference area [ref_area] (274)
Source [source] (274)
Classification 1 [classif1] (9)
Sex [sex] (3)
Frequency [frequency] (1)
This dataset has 7,398 series:
[AFG.XA_2198.OCU_DETAILS_1.SEX_F.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Occupation (Detailed): 1. Managers – Sex: Female – Annual
- from
- 1991=0.252
- to
- 2022=1.178
- min:
- 0.252
- max:
- 4.943
- avg:
- 1.577
- σ:
- 1.209
[AFG.XA_2198.OCU_DETAILS_1.SEX_M.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Occupation (Detailed): 1. Managers – Sex: Male – Annual
- from
- 1991=15.193
- to
- 2022=105.184
- min:
- 15.193
- max:
- 105.184
- avg:
- 42.544
- σ:
- 25.745
[AFG.XA_2198.OCU_DETAILS_1.SEX_T.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Occupation (Detailed): 1. Managers – Sex: Total – Annual
- from
- 1991=15.445
- to
- 2022=106.362
- min:
- 15.445
- max:
- 108.585
- avg:
- 44.122
- σ:
- 26.797
[AFG.XA_2198.OCU_DETAILS_2.SEX_F.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Occupation (Detailed): 2. Professionals – Sex: Female – Annual
- from
- 1991=6.838
- to
- 2022=22.509
- min:
- 6.838
- max:
- 87.488
- avg:
- 34.24
- σ:
- 26.696
[AFG.XA_2198.OCU_DETAILS_2.SEX_M.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Occupation (Detailed): 2. Professionals – Sex: Male – Annual
- from
- 1991=69.206
- to
- 2022=287.469
- min:
- 69.206
- max:
- 287.469
- avg:
- 186.105
- σ:
- 74.255
[AFG.XA_2198.OCU_DETAILS_2.SEX_T.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Occupation (Detailed): 2. Professionals – Sex: Total – Annual
- from
- 1991=76.044
- to
- 2022=309.978
- min:
- 76.044
- max:
- 358.401
- avg:
- 220.345
- σ:
- 97.929
[AFG.XA_2198.OCU_DETAILS_3.SEX_F.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Occupation (Detailed): 3. Technicians and associate professionals – Sex: Female – Annual
- from
- 1991=8.518
- to
- 2022=1.338
- min:
- 1.338
- max:
- 10.391
- avg:
- 6.383
- σ:
- 2.099
[AFG.XA_2198.OCU_DETAILS_3.SEX_M.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Occupation (Detailed): 3. Technicians and associate professionals – Sex: Male – Annual
- from
- 1991=45.978
- to
- 2022=118.31
- min:
- 45.978
- max:
- 119.592
- avg:
- 76.119
- σ:
- 23.839
[AFG.XA_2198.OCU_DETAILS_3.SEX_T.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Occupation (Detailed): 3. Technicians and associate professionals – Sex: Total – Annual
- from
- 1991=54.496
- to
- 2022=119.648
- min:
- 54.496
- max:
- 124.141
- avg:
- 82.501
- σ:
- 22.782
[AFG.XA_2198.OCU_DETAILS_4.SEX_F.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Occupation (Detailed): 4. Clerical support workers – Sex: Female – Annual
- from
- 1991=3.508
- to
- 2022=2.187
- min:
- 2.187
- max:
- 12.814
- avg:
- 6.468
- σ:
- 3.159
Series code | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[AFG.XA_2198.OCU_DETAILS_1.SEX_F.A] | 0.252 | 0.301 | 0.367 | 0.421 | 0.495 | 0.546 | 0.594 | 0.645 | 0.697 | 0.729 | 0.765 | 0.894 | 1.022 | 1.115 | 1.2 | 1.262 | 1.278 | 1.325 | 1.413 | 1.524 | 1.664 | 1.876 | 2.182 | 2.664 | 2.56 | 2.431 | 2.318 | 3.203 | 4.237 | 4.943 | 4.375 | 1.178 |
[AFG.XA_2198.OCU_DETAILS_1.SEX_M.A] | 15.193 | 16.645 | 18.62 | 19.582 | 20.866 | 21.363 | 21.767 | 22.229 | 22.797 | 22.889 | 23.01 | 25.717 | 28.479 | 30.375 | 32.129 | 34.177 | 34.983 | 36.52 | 38.998 | 41.579 | 44.139 | 47.377 | 49.959 | 52.494 | 54.724 | 56.135 | 57.818 | 72.285 | 88.21 | 100.966 | 104.21 | 105.184 |
[AFG.XA_2198.OCU_DETAILS_1.SEX_T.A] | 15.445 | 16.946 | 18.987 | 20.003 | 21.362 | 21.909 | 22.361 | 22.873 | 23.493 | 23.618 | 23.775 | 26.611 | 29.501 | 31.49 | 33.329 | 35.439 | 36.261 | 37.845 | 40.411 | 43.103 | 45.803 | 49.253 | 52.14 | 55.158 | 57.284 | 58.566 | 60.136 | 75.488 | 92.448 | 105.909 | 108.585 | 106.362 |
[AFG.XA_2198.OCU_DETAILS_2.SEX_F.A] | 6.838 | 7.795 | 8.909 | 9.812 | 10.627 | 11.194 | 11.598 | 12.065 | 12.599 | 12.89 | 13.295 | 15.746 | 18.167 | 20.026 | 22.393 | 24.28 | 25.721 | 27.173 | 30.151 | 33.216 | 37.103 | 42.494 | 49.05 | 55.539 | 64.737 | 74.242 | 85.249 | 87.488 | 87.451 | 81.025 | 74.301 | 22.509 |
[AFG.XA_2198.OCU_DETAILS_2.SEX_M.A] | 69.206 | 77.184 | 87.528 | 95.287 | 101.149 | 105.816 | 109.16 | 112.691 | 116.566 | 118.017 | 118.958 | 133.789 | 147.567 | 156.367 | 167.753 | 179.809 | 187.386 | 195.211 | 211.427 | 225.915 | 239.749 | 258.219 | 271.253 | 284.811 | 283.493 | 278.277 | 273.152 | 268.502 | 264.08 | 260.107 | 269.465 | 287.469 |
[AFG.XA_2198.OCU_DETAILS_2.SEX_T.A] | 76.044 | 84.979 | 96.437 | 105.099 | 111.776 | 117.011 | 120.758 | 124.756 | 129.165 | 130.906 | 132.252 | 149.535 | 165.734 | 176.394 | 190.146 | 204.089 | 213.106 | 222.384 | 241.578 | 259.131 | 276.851 | 300.713 | 320.304 | 340.35 | 348.23 | 352.519 | 358.401 | 355.99 | 351.531 | 341.132 | 343.766 | 309.978 |
[AFG.XA_2198.OCU_DETAILS_3.SEX_F.A] | 8.518 | 9.992 | 8.832 | 8.096 | 7.515 | 7.72 | 7.511 | 7.082 | 6.247 | 5.029 | 3.673 | 4.957 | 5.957 | 6.106 | 6.605 | 6.335 | 6.417 | 5.906 | 6.591 | 7.713 | 7.815 | 8.625 | 9.088 | 10.391 | 6.491 | 3.979 | 2.52 | 3.158 | 4.385 | 5.111 | 4.55 | 1.338 |
[AFG.XA_2198.OCU_DETAILS_3.SEX_M.A] | 45.978 | 48.51 | 53.155 | 56.617 | 57.78 | 58.44 | 57.188 | 56.1 | 55.27 | 53.626 | 51.829 | 57.795 | 60.858 | 61.494 | 64.396 | 66.765 | 68.493 | 69.106 | 73.827 | 77.042 | 78.784 | 83.744 | 86.771 | 89.161 | 98.397 | 105.808 | 112.838 | 115.977 | 119.366 | 112.778 | 119.592 | 118.31 |
[AFG.XA_2198.OCU_DETAILS_3.SEX_T.A] | 54.496 | 58.503 | 61.987 | 64.713 | 65.296 | 66.16 | 64.699 | 63.182 | 61.517 | 58.655 | 55.502 | 62.752 | 66.815 | 67.6 | 71 | 73.1 | 74.909 | 75.012 | 80.418 | 84.754 | 86.599 | 92.369 | 95.859 | 99.552 | 104.888 | 109.787 | 115.358 | 119.135 | 123.751 | 117.89 | 124.141 | 119.648 |
[AFG.XA_2198.OCU_DETAILS_4.SEX_F.A] | 3.508 | 3.819 | 3.968 | 3.976 | 3.902 | 3.824 | 3.745 | 3.684 | 3.625 | 3.467 | 3.306 | 3.809 | 4.411 | 4.822 | 5.33 | 5.67 | 5.9 | 6.069 | 6.671 | 7.373 | 8.152 | 9.161 | 10.365 | 11.445 | 11.969 | 12.303 | 12.814 | 11.545 | 10.256 | 8.453 | 7.451 | 2.187 |
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Reference area [ref_area] (274)
Source [source] (274)
Classification 1 [classif1] (9)
Sex [sex] (3)
Frequency [frequency] (1)
This dataset has 7,398 series:
[AFG.XA_2198.OCU_DETAILS_1.SEX_F.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Occupation (Detailed): 1. Managers – Sex: Female – Annual
- from
- 1991=0.252
- to
- 2022=1.178
- min:
- 0.252
- max:
- 4.943
- avg:
- 1.577
- σ:
- 1.209
[AFG.XA_2198.OCU_DETAILS_1.SEX_M.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Occupation (Detailed): 1. Managers – Sex: Male – Annual
- from
- 1991=15.193
- to
- 2022=105.184
- min:
- 15.193
- max:
- 105.184
- avg:
- 42.544
- σ:
- 25.745
[AFG.XA_2198.OCU_DETAILS_1.SEX_T.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Occupation (Detailed): 1. Managers – Sex: Total – Annual
- from
- 1991=15.445
- to
- 2022=106.362
- min:
- 15.445
- max:
- 108.585
- avg:
- 44.122
- σ:
- 26.797
[AFG.XA_2198.OCU_DETAILS_2.SEX_F.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Occupation (Detailed): 2. Professionals – Sex: Female – Annual
- from
- 1991=6.838
- to
- 2022=22.509
- min:
- 6.838
- max:
- 87.488
- avg:
- 34.24
- σ:
- 26.696
[AFG.XA_2198.OCU_DETAILS_2.SEX_M.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Occupation (Detailed): 2. Professionals – Sex: Male – Annual
- from
- 1991=69.206
- to
- 2022=287.469
- min:
- 69.206
- max:
- 287.469
- avg:
- 186.105
- σ:
- 74.255
[AFG.XA_2198.OCU_DETAILS_2.SEX_T.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Occupation (Detailed): 2. Professionals – Sex: Total – Annual
- from
- 1991=76.044
- to
- 2022=309.978
- min:
- 76.044
- max:
- 358.401
- avg:
- 220.345
- σ:
- 97.929
[AFG.XA_2198.OCU_DETAILS_3.SEX_F.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Occupation (Detailed): 3. Technicians and associate professionals – Sex: Female – Annual
- from
- 1991=8.518
- to
- 2022=1.338
- min:
- 1.338
- max:
- 10.391
- avg:
- 6.383
- σ:
- 2.099
[AFG.XA_2198.OCU_DETAILS_3.SEX_M.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Occupation (Detailed): 3. Technicians and associate professionals – Sex: Male – Annual
- from
- 1991=45.978
- to
- 2022=118.31
- min:
- 45.978
- max:
- 119.592
- avg:
- 76.119
- σ:
- 23.839
[AFG.XA_2198.OCU_DETAILS_3.SEX_T.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Occupation (Detailed): 3. Technicians and associate professionals – Sex: Total – Annual
- from
- 1991=54.496
- to
- 2022=119.648
- min:
- 54.496
- max:
- 124.141
- avg:
- 82.501
- σ:
- 22.782
[AFG.XA_2198.OCU_DETAILS_4.SEX_F.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Occupation (Detailed): 4. Clerical support workers – Sex: Female – Annual
- from
- 1991=3.508
- to
- 2022=2.187
- min:
- 2.187
- max:
- 12.814
- avg:
- 6.468
- σ:
- 3.159
Series code | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[AFG.XA_2198.OCU_DETAILS_1.SEX_F.A] | 0.252 | 0.301 | 0.367 | 0.421 | 0.495 | 0.546 | 0.594 | 0.645 | 0.697 | 0.729 | 0.765 | 0.894 | 1.022 | 1.115 | 1.2 | 1.262 | 1.278 | 1.325 | 1.413 | 1.524 | 1.664 | 1.876 | 2.182 | 2.664 | 2.56 | 2.431 | 2.318 | 3.203 | 4.237 | 4.943 | 4.375 | 1.178 |
[AFG.XA_2198.OCU_DETAILS_1.SEX_M.A] | 15.193 | 16.645 | 18.62 | 19.582 | 20.866 | 21.363 | 21.767 | 22.229 | 22.797 | 22.889 | 23.01 | 25.717 | 28.479 | 30.375 | 32.129 | 34.177 | 34.983 | 36.52 | 38.998 | 41.579 | 44.139 | 47.377 | 49.959 | 52.494 | 54.724 | 56.135 | 57.818 | 72.285 | 88.21 | 100.966 | 104.21 | 105.184 |
[AFG.XA_2198.OCU_DETAILS_1.SEX_T.A] | 15.445 | 16.946 | 18.987 | 20.003 | 21.362 | 21.909 | 22.361 | 22.873 | 23.493 | 23.618 | 23.775 | 26.611 | 29.501 | 31.49 | 33.329 | 35.439 | 36.261 | 37.845 | 40.411 | 43.103 | 45.803 | 49.253 | 52.14 | 55.158 | 57.284 | 58.566 | 60.136 | 75.488 | 92.448 | 105.909 | 108.585 | 106.362 |
[AFG.XA_2198.OCU_DETAILS_2.SEX_F.A] | 6.838 | 7.795 | 8.909 | 9.812 | 10.627 | 11.194 | 11.598 | 12.065 | 12.599 | 12.89 | 13.295 | 15.746 | 18.167 | 20.026 | 22.393 | 24.28 | 25.721 | 27.173 | 30.151 | 33.216 | 37.103 | 42.494 | 49.05 | 55.539 | 64.737 | 74.242 | 85.249 | 87.488 | 87.451 | 81.025 | 74.301 | 22.509 |
[AFG.XA_2198.OCU_DETAILS_2.SEX_M.A] | 69.206 | 77.184 | 87.528 | 95.287 | 101.149 | 105.816 | 109.16 | 112.691 | 116.566 | 118.017 | 118.958 | 133.789 | 147.567 | 156.367 | 167.753 | 179.809 | 187.386 | 195.211 | 211.427 | 225.915 | 239.749 | 258.219 | 271.253 | 284.811 | 283.493 | 278.277 | 273.152 | 268.502 | 264.08 | 260.107 | 269.465 | 287.469 |
[AFG.XA_2198.OCU_DETAILS_2.SEX_T.A] | 76.044 | 84.979 | 96.437 | 105.099 | 111.776 | 117.011 | 120.758 | 124.756 | 129.165 | 130.906 | 132.252 | 149.535 | 165.734 | 176.394 | 190.146 | 204.089 | 213.106 | 222.384 | 241.578 | 259.131 | 276.851 | 300.713 | 320.304 | 340.35 | 348.23 | 352.519 | 358.401 | 355.99 | 351.531 | 341.132 | 343.766 | 309.978 |
[AFG.XA_2198.OCU_DETAILS_3.SEX_F.A] | 8.518 | 9.992 | 8.832 | 8.096 | 7.515 | 7.72 | 7.511 | 7.082 | 6.247 | 5.029 | 3.673 | 4.957 | 5.957 | 6.106 | 6.605 | 6.335 | 6.417 | 5.906 | 6.591 | 7.713 | 7.815 | 8.625 | 9.088 | 10.391 | 6.491 | 3.979 | 2.52 | 3.158 | 4.385 | 5.111 | 4.55 | 1.338 |
[AFG.XA_2198.OCU_DETAILS_3.SEX_M.A] | 45.978 | 48.51 | 53.155 | 56.617 | 57.78 | 58.44 | 57.188 | 56.1 | 55.27 | 53.626 | 51.829 | 57.795 | 60.858 | 61.494 | 64.396 | 66.765 | 68.493 | 69.106 | 73.827 | 77.042 | 78.784 | 83.744 | 86.771 | 89.161 | 98.397 | 105.808 | 112.838 | 115.977 | 119.366 | 112.778 | 119.592 | 118.31 |
[AFG.XA_2198.OCU_DETAILS_3.SEX_T.A] | 54.496 | 58.503 | 61.987 | 64.713 | 65.296 | 66.16 | 64.699 | 63.182 | 61.517 | 58.655 | 55.502 | 62.752 | 66.815 | 67.6 | 71 | 73.1 | 74.909 | 75.012 | 80.418 | 84.754 | 86.599 | 92.369 | 95.859 | 99.552 | 104.888 | 109.787 | 115.358 | 119.135 | 123.751 | 117.89 | 124.141 | 119.648 |
[AFG.XA_2198.OCU_DETAILS_4.SEX_F.A] | 3.508 | 3.819 | 3.968 | 3.976 | 3.902 | 3.824 | 3.745 | 3.684 | 3.625 | 3.467 | 3.306 | 3.809 | 4.411 | 4.822 | 5.33 | 5.67 | 5.9 | 6.069 | 6.671 | 7.373 | 8.152 | 9.161 | 10.365 | 11.445 | 11.969 | 12.303 | 12.814 | 11.545 | 10.256 | 8.453 | 7.451 | 2.187 |
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