[GED_2LFP_SEX_RT] Prime-age labour force participation rate of couple households with children under age 6, by sex -- ILO modelled estimates, Nov. 2022
Retrieved by DBnomics on September 5, 2023 (5:48 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
[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
[X97] APEC
[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_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
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[XA_1848] ILO - Modelled Estimates
[XA_1849] ILO - Modelled Estimates
[XA_1850] ILO - Modelled Estimates
[XA_1852] ILO - Modelled Estimates
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[XA_1858] ILO - Modelled Estimates
[XA_1862] ILO - Modelled Estimates
[XA_1866] ILO - Modelled Estimates
[XA_1868] ILO - Modelled Estimates
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[XA_1871] ILO - Modelled Estimates
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[XA_1881] ILO - Modelled Estimates
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[XA_1885] ILO - Modelled Estimates
[XA_1893] ILO - Modelled Estimates
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[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
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[XA_1928] ILO - Modelled Estimates
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[XA_1932] ILO - Modelled Estimates
[XA_1934] ILO - Modelled Estimates
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[XA_1936] ILO - Modelled Estimates
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[XA_1938] ILO - Modelled Estimates
[XA_1939] ILO - Modelled Estimates
[XA_1940] ILO - Modelled Estimates
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[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_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
[SEX_F] Sex: Female
[SEX_M] Sex: Male
[SEX_T] Sex: Total
[A] Annual
Search filters
Reference area [ref_area] (279)
Source [source] (279)
Sex [sex] (3)
Frequency [frequency] (1)
This dataset has 837 series:
[AFG.XA_2198.SEX_F.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Sex: Female – Annual
- from
- 2004=18.429
- to
- 2020=18.7
- min:
- 18.311
- max:
- 25.42
- avg:
- 20.416
- σ:
- 2.599
[AFG.XA_2198.SEX_M.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Sex: Male – Annual
- from
- 2004=98.877
- to
- 2020=86
- min:
- 86
- max:
- 99.766
- avg:
- 96.854
- σ:
- 3.473
[AFG.XA_2198.SEX_T.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Sex: Total – Annual
- from
- 2004=59.92
- to
- 2020=54.364
- min:
- 54.364
- max:
- 61.426
- avg:
- 60.381
- σ:
- 1.572
[AGO.XA_2010.SEX_F.A] Angola – ILO - Modelled Estimates (XA_2010) – Sex: Female – Annual
- from
- 2004=87.97
- to
- 2022=88.813
- min:
- 87.688
- max:
- 88.813
- avg:
- 88.33
- σ:
- 0.288
[AGO.XA_2010.SEX_M.A] Angola – ILO - Modelled Estimates (XA_2010) – Sex: Male – Annual
- from
- 2004=98.11
- to
- 2022=96.962
- min:
- 96.563
- max:
- 98.282
- avg:
- 97.572
- σ:
- 0.542
[AGO.XA_2010.SEX_T.A] Angola – ILO - Modelled Estimates (XA_2010) – Sex: Total – Annual
- from
- 2004=93.64
- to
- 2022=93.48
- min:
- 92.829
- max:
- 94.027
- avg:
- 93.545
- σ:
- 0.345
[ALB.XA_2137.SEX_F.A] Albania – ILO - Modelled Estimates (XA_2137) – Sex: Female – Annual
- from
- 2004=58.595
- to
- 2022=68.883
- min:
- 57.861
- max:
- 70
- avg:
- 63.34
- σ:
- 3.93
[ALB.XA_2137.SEX_M.A] Albania – ILO - Modelled Estimates (XA_2137) – Sex: Male – Annual
- from
- 2004=92.664
- to
- 2022=92.491
- min:
- 88.928
- max:
- 95.817
- avg:
- 92.038
- σ:
- 1.768
[ALB.XA_2137.SEX_T.A] Albania – ILO - Modelled Estimates (XA_2137) – Sex: Total – Annual
- from
- 2004=75.795
- to
- 2022=81.848
- min:
- 75.039
- max:
- 83.364
- avg:
- 78.943
- σ:
- 2.628
[ARE.XA_1978.SEX_F.A] United Arab Emirates – ILO - Modelled Estimates (XA_1978) – Sex: Female – Annual
- from
- 2004=16.353
- to
- 2022=34.99
- min:
- 16.353
- max:
- 43.408
- avg:
- 26.724
- σ:
- 7.485
Series code | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[AFG.XA_2198.SEX_F.A] | 18.429 | 18.566 | 18.402 | 18.384 | 18.373 | 18.311 | 18.363 | 18.629 | 18.944 | 20.008 | 21.092 | 22.243 | 23.459 | 24.7 | 25.055 | 25.42 | 18.7 | - | - |
[AFG.XA_2198.SEX_M.A] | 98.877 | 98.678 | 98.785 | 99.097 | 99.451 | 99.65 | 99.766 | 99.503 | 99.113 | 98.19 | 97.18 | 96.126 | 95.035 | 93.9 | 93.689 | 93.481 | 86 | - | - |
[AFG.XA_2198.SEX_T.A] | 59.92 | 59.99 | 60.061 | 60.239 | 60.457 | 60.621 | 60.782 | 60.867 | 60.911 | 61.011 | 61.069 | 61.115 | 61.16 | 61.178 | 61.304 | 61.426 | 54.364 | - | - |
[AGO.XA_2010.SEX_F.A] | 87.97 | 88.318 | 88.426 | 88.544 | 88.643 | 88.69 | 88.754 | 88.6 | 88.454 | 88.328 | 88.234 | 88.17 | 88.09 | 88.073 | 88.107 | 88.2 | 87.688 | 88.167 | 88.813 |
[AGO.XA_2010.SEX_M.A] | 98.11 | 98.216 | 98.258 | 98.282 | 98.259 | 98.151 | 98.044 | 97.7 | 97.614 | 97.509 | 97.413 | 97.317 | 97.225 | 97.186 | 97.172 | 97.2 | 96.679 | 96.563 | 96.962 |
[AGO.XA_2010.SEX_T.A] | 93.64 | 93.854 | 93.928 | 93.995 | 94.027 | 93.989 | 93.958 | 93.7 | 93.599 | 93.495 | 93.412 | 93.342 | 93.268 | 93.253 | 93.272 | 93.342 | 92.829 | 92.971 | 93.48 |
[ALB.XA_2137.SEX_F.A] | 58.595 | 59.091 | 59.55 | 59.953 | 60.309 | 59.945 | 62.599 | 66.12 | 62.545 | 57.861 | 58.899 | 63.901 | 67.139 | 66.483 | 67.7 | 70 | 65.727 | 68.167 | 68.883 |
[ALB.XA_2137.SEX_M.A] | 92.664 | 92.045 | 91.29 | 90.379 | 89.303 | 93.276 | 93.12 | 92.483 | 90.479 | 88.928 | 90.999 | 91.905 | 93.583 | 95.817 | 94.3 | 94.2 | 89.728 | 91.727 | 92.491 |
[ALB.XA_2137.SEX_T.A] | 75.795 | 76.057 | 76.255 | 76.295 | 76.117 | 78.277 | 79.454 | 80.699 | 77.997 | 75.039 | 76.635 | 79.359 | 81.717 | 82.625 | 82.311 | 83.364 | 78.953 | 81.126 | 81.848 |
[ARE.XA_1978.SEX_F.A] | 16.353 | 16.791 | 17.774 | 18.639 | 19.591 | 20.698 | 22.054 | 23.548 | 24.992 | 26.394 | 27.767 | 29.125 | 30.48 | 32.177 | 31.655 | 37.8 | 43.408 | 33.514 | 34.99 |
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Reference area [ref_area] (279)
Source [source] (279)
Sex [sex] (3)
Frequency [frequency] (1)
This dataset has 837 series:
[AFG.XA_2198.SEX_F.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Sex: Female – Annual
- from
- 2004=18.429
- to
- 2020=18.7
- min:
- 18.311
- max:
- 25.42
- avg:
- 20.416
- σ:
- 2.599
[AFG.XA_2198.SEX_M.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Sex: Male – Annual
- from
- 2004=98.877
- to
- 2020=86
- min:
- 86
- max:
- 99.766
- avg:
- 96.854
- σ:
- 3.473
[AFG.XA_2198.SEX_T.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Sex: Total – Annual
- from
- 2004=59.92
- to
- 2020=54.364
- min:
- 54.364
- max:
- 61.426
- avg:
- 60.381
- σ:
- 1.572
[AGO.XA_2010.SEX_F.A] Angola – ILO - Modelled Estimates (XA_2010) – Sex: Female – Annual
- from
- 2004=87.97
- to
- 2022=88.813
- min:
- 87.688
- max:
- 88.813
- avg:
- 88.33
- σ:
- 0.288
[AGO.XA_2010.SEX_M.A] Angola – ILO - Modelled Estimates (XA_2010) – Sex: Male – Annual
- from
- 2004=98.11
- to
- 2022=96.962
- min:
- 96.563
- max:
- 98.282
- avg:
- 97.572
- σ:
- 0.542
[AGO.XA_2010.SEX_T.A] Angola – ILO - Modelled Estimates (XA_2010) – Sex: Total – Annual
- from
- 2004=93.64
- to
- 2022=93.48
- min:
- 92.829
- max:
- 94.027
- avg:
- 93.545
- σ:
- 0.345
[ALB.XA_2137.SEX_F.A] Albania – ILO - Modelled Estimates (XA_2137) – Sex: Female – Annual
- from
- 2004=58.595
- to
- 2022=68.883
- min:
- 57.861
- max:
- 70
- avg:
- 63.34
- σ:
- 3.93
[ALB.XA_2137.SEX_M.A] Albania – ILO - Modelled Estimates (XA_2137) – Sex: Male – Annual
- from
- 2004=92.664
- to
- 2022=92.491
- min:
- 88.928
- max:
- 95.817
- avg:
- 92.038
- σ:
- 1.768
[ALB.XA_2137.SEX_T.A] Albania – ILO - Modelled Estimates (XA_2137) – Sex: Total – Annual
- from
- 2004=75.795
- to
- 2022=81.848
- min:
- 75.039
- max:
- 83.364
- avg:
- 78.943
- σ:
- 2.628
[ARE.XA_1978.SEX_F.A] United Arab Emirates – ILO - Modelled Estimates (XA_1978) – Sex: Female – Annual
- from
- 2004=16.353
- to
- 2022=34.99
- min:
- 16.353
- max:
- 43.408
- avg:
- 26.724
- σ:
- 7.485
Series code | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[AFG.XA_2198.SEX_F.A] | 18.429 | 18.566 | 18.402 | 18.384 | 18.373 | 18.311 | 18.363 | 18.629 | 18.944 | 20.008 | 21.092 | 22.243 | 23.459 | 24.7 | 25.055 | 25.42 | 18.7 | - | - |
[AFG.XA_2198.SEX_M.A] | 98.877 | 98.678 | 98.785 | 99.097 | 99.451 | 99.65 | 99.766 | 99.503 | 99.113 | 98.19 | 97.18 | 96.126 | 95.035 | 93.9 | 93.689 | 93.481 | 86 | - | - |
[AFG.XA_2198.SEX_T.A] | 59.92 | 59.99 | 60.061 | 60.239 | 60.457 | 60.621 | 60.782 | 60.867 | 60.911 | 61.011 | 61.069 | 61.115 | 61.16 | 61.178 | 61.304 | 61.426 | 54.364 | - | - |
[AGO.XA_2010.SEX_F.A] | 87.97 | 88.318 | 88.426 | 88.544 | 88.643 | 88.69 | 88.754 | 88.6 | 88.454 | 88.328 | 88.234 | 88.17 | 88.09 | 88.073 | 88.107 | 88.2 | 87.688 | 88.167 | 88.813 |
[AGO.XA_2010.SEX_M.A] | 98.11 | 98.216 | 98.258 | 98.282 | 98.259 | 98.151 | 98.044 | 97.7 | 97.614 | 97.509 | 97.413 | 97.317 | 97.225 | 97.186 | 97.172 | 97.2 | 96.679 | 96.563 | 96.962 |
[AGO.XA_2010.SEX_T.A] | 93.64 | 93.854 | 93.928 | 93.995 | 94.027 | 93.989 | 93.958 | 93.7 | 93.599 | 93.495 | 93.412 | 93.342 | 93.268 | 93.253 | 93.272 | 93.342 | 92.829 | 92.971 | 93.48 |
[ALB.XA_2137.SEX_F.A] | 58.595 | 59.091 | 59.55 | 59.953 | 60.309 | 59.945 | 62.599 | 66.12 | 62.545 | 57.861 | 58.899 | 63.901 | 67.139 | 66.483 | 67.7 | 70 | 65.727 | 68.167 | 68.883 |
[ALB.XA_2137.SEX_M.A] | 92.664 | 92.045 | 91.29 | 90.379 | 89.303 | 93.276 | 93.12 | 92.483 | 90.479 | 88.928 | 90.999 | 91.905 | 93.583 | 95.817 | 94.3 | 94.2 | 89.728 | 91.727 | 92.491 |
[ALB.XA_2137.SEX_T.A] | 75.795 | 76.057 | 76.255 | 76.295 | 76.117 | 78.277 | 79.454 | 80.699 | 77.997 | 75.039 | 76.635 | 79.359 | 81.717 | 82.625 | 82.311 | 83.364 | 78.953 | 81.126 | 81.848 |
[ARE.XA_1978.SEX_F.A] | 16.353 | 16.791 | 17.774 | 18.639 | 19.591 | 20.698 | 22.054 | 23.548 | 24.992 | 26.394 | 27.767 | 29.125 | 30.48 | 32.177 | 31.655 | 37.8 | 43.408 | 33.514 | 34.99 |
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