[HOW_2EMP_SEX_NB] Mean weekly hours actually worked per employed person -- ILO modelled estimates, Nov. 2023
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
[SEX_F] Sex: Female
[SEX_M] Sex: Male
[SEX_T] Sex: Total
[A] Annual
Search filters
Reference area [ref_area] (274)
Source [source] (274)
Sex [sex] (3)
Frequency [frequency] (1)
This dataset has 822 series:
[AFG.XA_2198.SEX_F.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Sex: Female – Annual
- from
- 2005=25.274
- to
- 2024=15.843
- min:
- 15.815
- max:
- 25.274
- avg:
- 22.424
- σ:
- 2.984
[AFG.XA_2198.SEX_M.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Sex: Male – Annual
- from
- 2005=41.006
- to
- 2024=39.595
- min:
- 39.149
- max:
- 45.44
- avg:
- 41.334
- σ:
- 1.946
[AFG.XA_2198.SEX_T.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Sex: Total – Annual
- from
- 2005=38.375
- to
- 2024=38.284
- min:
- 36.632
- max:
- 41.24
- avg:
- 38.344
- σ:
- 1.301
[AGO.XA_2010.SEX_F.A] Angola – ILO - Modelled Estimates (XA_2010) – Sex: Female – Annual
- from
- 2005=40.135
- to
- 2024=37.355
- min:
- 36.654
- max:
- 40.135
- avg:
- 38.354
- σ:
- 0.944
[AGO.XA_2010.SEX_M.A] Angola – ILO - Modelled Estimates (XA_2010) – Sex: Male – Annual
- from
- 2005=42.722
- to
- 2024=41.151
- min:
- 40.563
- max:
- 42.722
- avg:
- 41.731
- σ:
- 0.599
[AGO.XA_2010.SEX_T.A] Angola – ILO - Modelled Estimates (XA_2010) – Sex: Total – Annual
- from
- 2005=41.444
- to
- 2024=39.27
- min:
- 38.611
- max:
- 41.444
- avg:
- 40.063
- σ:
- 0.754
[ALB.XA_2137.SEX_F.A] Albania – ILO - Modelled Estimates (XA_2137) – Sex: Female – Annual
- from
- 2005=41.458
- to
- 2024=38.491
- min:
- 33.415
- max:
- 41.458
- avg:
- 38.027
- σ:
- 2.028
[ALB.XA_2137.SEX_M.A] Albania – ILO - Modelled Estimates (XA_2137) – Sex: Male – Annual
- from
- 2005=47.644
- to
- 2024=42.574
- min:
- 37.364
- max:
- 47.651
- avg:
- 42.881
- σ:
- 2.649
[ALB.XA_2137.SEX_T.A] Albania – ILO - Modelled Estimates (XA_2137) – Sex: Total – Annual
- from
- 2005=45.034
- to
- 2024=40.763
- min:
- 35.63
- max:
- 45.034
- avg:
- 40.79
- σ:
- 2.337
[ARE.XA_1978.SEX_F.A] United Arab Emirates – ILO - Modelled Estimates (XA_1978) – Sex: Female – Annual
- from
- 2005=54.863
- to
- 2024=57.101
- min:
- 54.863
- max:
- 59.774
- avg:
- 57.371
- σ:
- 1.093
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.SEX_F.A] | 25.274 | 25.14 | 25.065 | 25.179 | 24.578 | 23.522 | 24.121 | 24.023 | 23.957 | 23.861 | 23.113 | 21.968 | 21.132 | 22.086 | 23.079 | 22.925 | 21.845 | 15.953 | 15.815 | 15.843 |
[AFG.XA_2198.SEX_M.A] | 41.006 | 40.822 | 40.692 | 40.748 | 40.15 | 39.149 | 39.777 | 39.768 | 39.936 | 40.087 | 41.066 | 41.675 | 42.624 | 43.924 | 45.244 | 45.44 | 44.901 | 40.377 | 39.701 | 39.595 |
[AFG.XA_2198.SEX_T.A] | 38.375 | 38.23 | 38.138 | 38.228 | 37.643 | 36.632 | 37.206 | 37.121 | 37.1 | 37.05 | 37.533 | 37.602 | 37.96 | 39.364 | 40.818 | 41.24 | 41.006 | 38.951 | 38.395 | 38.284 |
[AGO.XA_2010.SEX_F.A] | 40.135 | 40.047 | 39.861 | 39.599 | 39.238 | 38.339 | 38.532 | 38.279 | 37.576 | 37.782 | 37.875 | 38.121 | 38.142 | 38.336 | 38.436 | 36.654 | 37.992 | 37.389 | 37.384 | 37.355 |
[AGO.XA_2010.SEX_M.A] | 42.722 | 42.672 | 42.51 | 42.255 | 41.883 | 41.742 | 41.843 | 41.613 | 40.886 | 41.146 | 41.366 | 41.756 | 41.902 | 42.24 | 42.473 | 40.563 | 41.539 | 41.175 | 41.176 | 41.151 |
[AGO.XA_2010.SEX_T.A] | 41.444 | 41.377 | 41.204 | 40.947 | 40.582 | 40.069 | 40.234 | 39.987 | 39.267 | 39.495 | 39.648 | 39.961 | 40.04 | 40.3 | 40.46 | 38.611 | 39.76 | 39.302 | 39.298 | 39.27 |
[ALB.XA_2137.SEX_F.A] | 41.458 | 41.42 | 41.307 | 37.943 | 38.056 | 36.912 | 33.415 | 37.226 | 38.143 | 34.616 | 35.147 | 37.552 | 37.829 | 38.244 | 38.953 | 37.116 | 39.551 | 38.601 | 38.551 | 38.491 |
[ALB.XA_2137.SEX_M.A] | 47.644 | 47.651 | 47.565 | 45.426 | 44.987 | 43.525 | 37.364 | 41.296 | 43.045 | 39.505 | 39.905 | 41.213 | 41.711 | 42.507 | 42.98 | 40.962 | 42.444 | 42.681 | 42.633 | 42.574 |
[ALB.XA_2137.SEX_T.A] | 45.034 | 45.009 | 44.895 | 42.222 | 42.14 | 40.762 | 35.63 | 39.504 | 40.932 | 37.428 | 37.881 | 39.6 | 40.025 | 40.648 | 41.208 | 39.27 | 41.158 | 40.877 | 40.823 | 40.763 |
[ARE.XA_1978.SEX_F.A] | 54.863 | 55.537 | 56.212 | 56.732 | 56.918 | 57.318 | 57.493 | 57.706 | 57.654 | 57.886 | 57.79 | 57.941 | 58.213 | 58.409 | 58.992 | 56.362 | 59.774 | 57.32 | 57.197 | 57.101 |
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Reference area [ref_area] (274)
Source [source] (274)
Sex [sex] (3)
Frequency [frequency] (1)
This dataset has 822 series:
[AFG.XA_2198.SEX_F.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Sex: Female – Annual
- from
- 2005=25.274
- to
- 2024=15.843
- min:
- 15.815
- max:
- 25.274
- avg:
- 22.424
- σ:
- 2.984
[AFG.XA_2198.SEX_M.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Sex: Male – Annual
- from
- 2005=41.006
- to
- 2024=39.595
- min:
- 39.149
- max:
- 45.44
- avg:
- 41.334
- σ:
- 1.946
[AFG.XA_2198.SEX_T.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Sex: Total – Annual
- from
- 2005=38.375
- to
- 2024=38.284
- min:
- 36.632
- max:
- 41.24
- avg:
- 38.344
- σ:
- 1.301
[AGO.XA_2010.SEX_F.A] Angola – ILO - Modelled Estimates (XA_2010) – Sex: Female – Annual
- from
- 2005=40.135
- to
- 2024=37.355
- min:
- 36.654
- max:
- 40.135
- avg:
- 38.354
- σ:
- 0.944
[AGO.XA_2010.SEX_M.A] Angola – ILO - Modelled Estimates (XA_2010) – Sex: Male – Annual
- from
- 2005=42.722
- to
- 2024=41.151
- min:
- 40.563
- max:
- 42.722
- avg:
- 41.731
- σ:
- 0.599
[AGO.XA_2010.SEX_T.A] Angola – ILO - Modelled Estimates (XA_2010) – Sex: Total – Annual
- from
- 2005=41.444
- to
- 2024=39.27
- min:
- 38.611
- max:
- 41.444
- avg:
- 40.063
- σ:
- 0.754
[ALB.XA_2137.SEX_F.A] Albania – ILO - Modelled Estimates (XA_2137) – Sex: Female – Annual
- from
- 2005=41.458
- to
- 2024=38.491
- min:
- 33.415
- max:
- 41.458
- avg:
- 38.027
- σ:
- 2.028
[ALB.XA_2137.SEX_M.A] Albania – ILO - Modelled Estimates (XA_2137) – Sex: Male – Annual
- from
- 2005=47.644
- to
- 2024=42.574
- min:
- 37.364
- max:
- 47.651
- avg:
- 42.881
- σ:
- 2.649
[ALB.XA_2137.SEX_T.A] Albania – ILO - Modelled Estimates (XA_2137) – Sex: Total – Annual
- from
- 2005=45.034
- to
- 2024=40.763
- min:
- 35.63
- max:
- 45.034
- avg:
- 40.79
- σ:
- 2.337
[ARE.XA_1978.SEX_F.A] United Arab Emirates – ILO - Modelled Estimates (XA_1978) – Sex: Female – Annual
- from
- 2005=54.863
- to
- 2024=57.101
- min:
- 54.863
- max:
- 59.774
- avg:
- 57.371
- σ:
- 1.093
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.SEX_F.A] | 25.274 | 25.14 | 25.065 | 25.179 | 24.578 | 23.522 | 24.121 | 24.023 | 23.957 | 23.861 | 23.113 | 21.968 | 21.132 | 22.086 | 23.079 | 22.925 | 21.845 | 15.953 | 15.815 | 15.843 |
[AFG.XA_2198.SEX_M.A] | 41.006 | 40.822 | 40.692 | 40.748 | 40.15 | 39.149 | 39.777 | 39.768 | 39.936 | 40.087 | 41.066 | 41.675 | 42.624 | 43.924 | 45.244 | 45.44 | 44.901 | 40.377 | 39.701 | 39.595 |
[AFG.XA_2198.SEX_T.A] | 38.375 | 38.23 | 38.138 | 38.228 | 37.643 | 36.632 | 37.206 | 37.121 | 37.1 | 37.05 | 37.533 | 37.602 | 37.96 | 39.364 | 40.818 | 41.24 | 41.006 | 38.951 | 38.395 | 38.284 |
[AGO.XA_2010.SEX_F.A] | 40.135 | 40.047 | 39.861 | 39.599 | 39.238 | 38.339 | 38.532 | 38.279 | 37.576 | 37.782 | 37.875 | 38.121 | 38.142 | 38.336 | 38.436 | 36.654 | 37.992 | 37.389 | 37.384 | 37.355 |
[AGO.XA_2010.SEX_M.A] | 42.722 | 42.672 | 42.51 | 42.255 | 41.883 | 41.742 | 41.843 | 41.613 | 40.886 | 41.146 | 41.366 | 41.756 | 41.902 | 42.24 | 42.473 | 40.563 | 41.539 | 41.175 | 41.176 | 41.151 |
[AGO.XA_2010.SEX_T.A] | 41.444 | 41.377 | 41.204 | 40.947 | 40.582 | 40.069 | 40.234 | 39.987 | 39.267 | 39.495 | 39.648 | 39.961 | 40.04 | 40.3 | 40.46 | 38.611 | 39.76 | 39.302 | 39.298 | 39.27 |
[ALB.XA_2137.SEX_F.A] | 41.458 | 41.42 | 41.307 | 37.943 | 38.056 | 36.912 | 33.415 | 37.226 | 38.143 | 34.616 | 35.147 | 37.552 | 37.829 | 38.244 | 38.953 | 37.116 | 39.551 | 38.601 | 38.551 | 38.491 |
[ALB.XA_2137.SEX_M.A] | 47.644 | 47.651 | 47.565 | 45.426 | 44.987 | 43.525 | 37.364 | 41.296 | 43.045 | 39.505 | 39.905 | 41.213 | 41.711 | 42.507 | 42.98 | 40.962 | 42.444 | 42.681 | 42.633 | 42.574 |
[ALB.XA_2137.SEX_T.A] | 45.034 | 45.009 | 44.895 | 42.222 | 42.14 | 40.762 | 35.63 | 39.504 | 40.932 | 37.428 | 37.881 | 39.6 | 40.025 | 40.648 | 41.208 | 39.27 | 41.158 | 40.877 | 40.823 | 40.763 |
[ARE.XA_1978.SEX_F.A] | 54.863 | 55.537 | 56.212 | 56.732 | 56.918 | 57.318 | 57.493 | 57.706 | 57.654 | 57.886 | 57.79 | 57.941 | 58.213 | 58.409 | 58.992 | 56.362 | 59.774 | 57.32 | 57.197 | 57.101 |
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