[EMP_2TRU_SEX_AGE_GEO_NB] Time-related underemployment by sex, age and rural / urban areas -- ILO modelled estimates, Nov. 2020 (thousands)
Updated on DBnomics on September 4, 2023 (6:24 AM).
[ref_area] Reference area
- [AFG] Afghanistan
- [AGO] Angola
- [ALB] Albania
- [ARE] United Arab Emirates
- [ARG] Argentina
- [ARM] Armenia
- [AUS] Australia
- [AUT] Austria
- [AZE] Azerbaijan
- [BDI] Burundi
- [BEL] Belgium
- [BEN] Benin
- [BFA] Burkina Faso
- [BGD] Bangladesh
- [BGR] Bulgaria
- [BHR] Bahrain
- [BHS] Bahamas
- [BIH] Bosnia and Herzegovina
- [BLR] Belarus
- [BLZ] Belize
- [BOL] Bolivia
- [BRA] Brazil
- [BRB] Barbados
- [BRN] Brunei Darussalam
- [BTN] Bhutan
- [BWA] Botswana
- [CAF] Central African Republic
- [CAN] Canada
- [CHA] Channel Islands
- [CHE] Switzerland
- [CHL] Chile
- [CHN] China
- [CIV] Côte d'Ivoire
- [CMR] Cameroon
- [COD] Congo, Democratic Republic of the
- [COG] Congo
- [COL] Colombia
- [COM] Comoros
- [CPV] Cabo Verde
- [CRI] Costa Rica
- [CUB] Cuba
- [CYP] Cyprus
- [CZE] Czechia
- [DEU] Germany
- [DJI] Djibouti
- [DNK] Denmark
- [DOM] Dominican Republic
- [DZA] Algeria
- [ECU] Ecuador
- [EGY] Egypt
- [ERI] Eritrea
- [ESH] Western Sahara
- [ESP] Spain
- [EST] Estonia
- [ETH] Ethiopia
- [FIN] Finland
- [FJI] Fiji
- [FRA] France
- [GAB] Gabon
- [GBR] United Kingdom
- [GEO] Georgia
- [GHA] Ghana
- [GIN] Guinea
- [GMB] Gambia
- [GNB] Guinea-Bissau
- [GNQ] Equatorial Guinea
- [GRC] Greece
- [GTM] Guatemala
- [GUM] Guam
- [GUY] Guyana
- [HKG] Hong Kong, China
- [HND] Honduras
- [HRV] Croatia
- [HTI] Haiti
- [HUN] Hungary
- [IDN] Indonesia
- [IND] India
- [IRL] Ireland
- [IRN] Iran, Islamic Republic of
- [IRQ] Iraq
- [ISL] Iceland
- [ISR] Israel
- [ITA] Italy
- [JAM] Jamaica
- [JOR] Jordan
- [JPN] Japan
- [KAZ] Kazakhstan
- [KEN] Kenya
- [KGZ] Kyrgyzstan
- [KHM] Cambodia
- [KOR] Korea, Republic of
- [KWT] Kuwait
- [LAO] Lao People's Democratic Republic
- [LBN] Lebanon
- [LBR] Liberia
- [LBY] Libya
- [LCA] Saint Lucia
- [LKA] Sri Lanka
- [LSO] Lesotho
- [LTU] Lithuania
- [LUX] Luxembourg
- [LVA] Latvia
- [MAC] Macau, China
- [MAR] Morocco
- [MDA] Moldova, Republic of
- [MDG] Madagascar
- [MDV] Maldives
- [MEX] Mexico
- [MKD] North Macedonia
- [MLI] Mali
- [MLT] Malta
- [MMR] Myanmar
- [MNE] Montenegro
- [MNG] Mongolia
- [MOZ] Mozambique
- [MRT] Mauritania
- [MUS] Mauritius
- [MWI] Malawi
- [MYS] Malaysia
- [NAM] Namibia
- [NCL] New Caledonia
- [NER] Niger
- [NGA] Nigeria
- [NIC] Nicaragua
- [NLD] Netherlands
- [NOR] Norway
- [NPL] Nepal
- [NZL] New Zealand
- [OMN] Oman
- [PAK] Pakistan
- [PAN] Panama
- [PER] Peru
- [PHL] Philippines
- [PNG] Papua New Guinea
- [POL] Poland
- [PRI] Puerto Rico
- [PRK] Korea, Democratic People's Republic of
- [PRT] Portugal
- [PRY] Paraguay
- [PSE] Occupied Palestinian Territory
- [PYF] French Polynesia
- [QAT] Qatar
- [ROU] Romania
- [RUS] Russian Federation
- [RWA] Rwanda
- [SAU] Saudi Arabia
- [SDN] Sudan
- [SEN] Senegal
- [SGP] Singapore
- [SLB] Solomon Islands
- [SLE] Sierra Leone
- [SLV] El Salvador
- [SOM] Somalia
- [SRB] Serbia
- [SSD] South Sudan
- [STP] Sao Tome and Principe
- [SUR] Suriname
- [SVK] Slovakia
- [SVN] Slovenia
- [SWE] Sweden
- [SWZ] Eswatini
- [SYR] Syrian Arab Republic
- [TCD] Chad
- [TGO] Togo
- [THA] Thailand
- [TJK] Tajikistan
- [TKM] Turkmenistan
- [TLS] Timor-Leste
- [TON] Tonga
- [TTO] Trinidad and Tobago
- [TUN] Tunisia
- [TUR] Türkiye
- [TWN] Taiwan, China
- [TZA] Tanzania, United Republic of
- [UGA] Uganda
- [UKR] Ukraine
- [URY] Uruguay
- [USA] United States
- [UZB] Uzbekistan
- [VCT] Saint Vincent and the Grenadines
- [VEN] Venezuela, Bolivarian Republic of
- [VIR] United States Virgin Islands
- [VNM] Viet Nam
- [VUT] Vanuatu
- [WSM] Samoa
- [X01] World
- [X02] World: Low income
- [X03] World: Lower-middle income
- [X04] World: Upper-middle income
- [X05] World: High income
- [X06] Africa
- [X07] Africa: Low income
- [X08] Africa: Lower-middle income
- [X09] Africa: Upper-middle income
- [X10] Northern Africa
- [X11] Northern Africa: Lower-middle income
- [X12] Northern Africa: Upper-middle income
- [X13] Sub-Saharan Africa
- [X14] Sub-Saharan Africa: Low income
- [X15] Sub-Saharan Africa: Lower-middle income
- [X16] Sub-Saharan Africa: Upper-middle income
- [X17] Central Africa
- [X18] Eastern Africa
- [X19] Southern Africa
- [X20] Western Africa
- [X21] Americas
- [X22] Americas: Low income
- [X23] Americas: Lower-middle income
- [X24] Americas: Upper-middle income
- [X25] Americas: High income
- [X26] Latin America and the Caribbean
- [X27] Latin America and the Caribbean: Low income
- [X28] Latin America and the Caribbean: Lower-middle income
- [X29] Latin America and the Caribbean: Upper-middle income
- [X30] Latin America and the Caribbean: High income
- [X31] Caribbean
- [X32] Central America
- [X33] South America
- [X34] Northern America
- [X35] Northern America: High income
- [X36] Arab States
- [X37] Arab States: Lower-middle income
- [X38] Arab States: Upper-middle income
- [X39] Arab States: High income
- [X40] Asia and the Pacific
- [X41] Asia and the Pacific: Low income
- [X42] Asia and the Pacific: Lower-middle income
- [X43] Asia and the Pacific: Upper-middle income
- [X44] Asia and the Pacific: High income
- [X45] Eastern Asia
- [X46] Eastern Asia: Low income
- [X47] Eastern Asia: Upper-middle income
- [X48] Eastern Asia: High income
- [X49] South-Eastern Asia and the Pacific
- [X51] South-Eastern Asia and the Pacific: Lower-middle income
- [X52] South-Eastern Asia and the Pacific: Upper-middle income
- [X53] South-Eastern Asia and the Pacific: High income
- [X54] South-Eastern Asia
- [X55] Pacific Islands
- [X56] Southern Asia
- [X57] Southern Asia: Low income
- [X58] Southern Asia: Lower-middle income
- [X59] Southern Asia: Upper-middle income
- [X60] Europe and Central Asia
- [X61] Europe and Central Asia: Lower-middle income
- [X62] Europe and Central Asia: Upper-middle income
- [X63] Europe and Central Asia: High income
- [X64] Northern, Southern and Western Europe
- [X65] Northern, Southern and Western Europe: Upper-middle income
- [X66] Northern, Southern and Western Europe: High income
- [X67] Northern Europe
- [X68] Southern Europe
- [X69] Western Europe
- [X70] Eastern Europe
- [X71] Eastern Europe: Lower-middle income
- [X72] Eastern Europe: Upper-middle income
- [X73] Eastern Europe: High income
- [X74] Central Asia
- [X75] Central and Western Asia: Lower-middle income
- [X76] Central and Western Asia: Upper-middle income
- [X77] Central and Western Asia: High income
- [X78] Central and Western Asia
- [X79] Western Asia
- [X81] Sub-Saharan Africa: High income
- [X82] European Union 28
- [X83] G20
- [X84] ASEAN
- [X85] BRICS
- [X86] Eastern Asia: Lower-middle income
- [X87] World excluding BRICS
- [X88] G7
- [X89] MENA
- [X90] Arab League
- [X91] CARICOM
- [X92] European Union 27
- [X93] Africa: High income
- [X94] Arab States: Low income
- [X95] Europe and Central Asia: Low income
- [X96] Central and Western Asia: Low income
- [YEM] Yemen
- [ZAF] South Africa
- [ZMB] Zambia
- [ZWE] Zimbabwe
[source] Source
- [XA_12987] ILO - Modelled Estimates
- [XA_12988] ILO - Modelled Estimates
- [XA_12989] ILO - Modelled Estimates
- [XA_12990] ILO - Modelled Estimates
- [XA_13328] ILO - Modelled Estimates
- [XA_13329] ILO - Modelled Estimates
- [XA_14065] ILO - Modelled Estimates
- [XA_14066] ILO - Modelled Estimates
- [XA_15672] ILO - Modelled Estimates
- [XA_15716] ILO - Modelled Estimates
- [XA_15724] ILO - Modelled Estimates
- [XA_15725] ILO - Modelled Estimates
- [XA_15726] ILO - Modelled Estimates
- [XA_15736] ILO - Modelled Estimates
- [XA_15737] ILO - Modelled Estimates
- [XA_15738] ILO - Modelled Estimates
- [XA_1829] ILO - Modelled Estimates
- [XA_1830] ILO - Modelled Estimates
- [XA_1832] ILO - Modelled Estimates
- [XA_1835] ILO - Modelled Estimates
- [XA_1836] ILO - Modelled Estimates
- [XA_1837] ILO - Modelled Estimates
- [XA_1839] ILO - Modelled Estimates
- [XA_1843] ILO - Modelled Estimates
- [XA_1848] ILO - Modelled Estimates
- [XA_1849] ILO - Modelled Estimates
- [XA_1850] ILO - Modelled Estimates
- [XA_1852] ILO - Modelled Estimates
- [XA_1854] ILO - Modelled Estimates
- [XA_1858] ILO - Modelled Estimates
- [XA_1862] ILO - Modelled Estimates
- [XA_1866] ILO - Modelled Estimates
- [XA_1868] ILO - Modelled Estimates
- [XA_1869] ILO - Modelled Estimates
- [XA_1871] ILO - Modelled Estimates
- [XA_1872] ILO - Modelled Estimates
- [XA_1874] ILO - Modelled Estimates
- [XA_1875] ILO - Modelled Estimates
- [XA_1877] ILO - Modelled Estimates
- [XA_1881] ILO - Modelled Estimates
- [XA_1883] ILO - Modelled Estimates
- [XA_1884] ILO - Modelled Estimates
- [XA_1885] ILO - Modelled Estimates
- [XA_1893] ILO - Modelled Estimates
- [XA_1897] ILO - Modelled Estimates
- [XA_1901] ILO - Modelled Estimates
- [XA_1905] ILO - Modelled Estimates
- [XA_1907] ILO - Modelled Estimates
- [XA_1909] ILO - Modelled Estimates
- [XA_1913] ILO - Modelled Estimates
- [XA_1914] ILO - Modelled Estimates
- [XA_1916] ILO - Modelled Estimates
- [XA_1920] ILO - Modelled Estimates
- [XA_1921] ILO - Modelled Estimates
- [XA_1922] ILO - Modelled Estimates
- [XA_1924] ILO - Modelled Estimates
- [XA_1928] ILO - Modelled Estimates
- [XA_1931] ILO - Modelled Estimates
- [XA_1932] ILO - Modelled Estimates
- [XA_1934] ILO - Modelled Estimates
- [XA_1935] ILO - Modelled Estimates
- [XA_1936] ILO - Modelled Estimates
- [XA_1937] ILO - Modelled Estimates
- [XA_1938] ILO - Modelled Estimates
- [XA_1939] ILO - Modelled Estimates
- [XA_1940] ILO - Modelled Estimates
- [XA_1942] ILO - Modelled Estimates
- [XA_1943] ILO - Modelled Estimates
- [XA_1944] ILO - Modelled Estimates
- [XA_1946] ILO - Modelled Estimates
- [XA_1947] ILO - Modelled Estimates
- [XA_1949] ILO - Modelled Estimates
- [XA_1950] ILO - Modelled Estimates
- [XA_1956] ILO - Modelled Estimates
- [XA_1957] ILO - Modelled Estimates
- [XA_1960] ILO - Modelled Estimates
- [XA_1964] ILO - Modelled Estimates
- [XA_1972] ILO - Modelled Estimates
- [XA_1976] ILO - Modelled Estimates
- [XA_1978] ILO - Modelled Estimates
- [XA_1980] ILO - Modelled Estimates
- [XA_1982] ILO - Modelled Estimates
- [XA_1984] ILO - Modelled Estimates
- [XA_1987] ILO - Modelled Estimates
- [XA_1988] ILO - Modelled Estimates
- [XA_1990] ILO - Modelled Estimates
- [XA_1992] ILO - Modelled Estimates
- [XA_1996] ILO - Modelled Estimates
- [XA_2000] ILO - Modelled Estimates
- [XA_2002] ILO - Modelled Estimates
- [XA_2004] ILO - Modelled Estimates
- [XA_2007] ILO - Modelled Estimates
- [XA_2008] ILO - Modelled Estimates
- [XA_2009] ILO - Modelled Estimates
- [XA_2010] ILO - Modelled Estimates
- [XA_2012] ILO - Modelled Estimates
- [XA_2014] ILO - Modelled Estimates
- [XA_2015] ILO - Modelled Estimates
- [XA_2016] ILO - Modelled Estimates
- [XA_2017] ILO - Modelled Estimates
- [XA_2018] ILO - Modelled Estimates
- [XA_2024] ILO - Modelled Estimates
- [XA_2028] ILO - Modelled Estimates
- [XA_2029] ILO - Modelled Estimates
- [XA_2030] ILO - Modelled Estimates
- [XA_2031] ILO - Modelled Estimates
- [XA_2034] ILO - Modelled Estimates
- [XA_2036] ILO - Modelled Estimates
- [XA_2039] ILO - Modelled Estimates
- [XA_2044] ILO - Modelled Estimates
- [XA_2048] ILO - Modelled Estimates
- [XA_2054] ILO - Modelled Estimates
- [XA_2056] ILO - Modelled Estimates
- [XA_2060] ILO - Modelled Estimates
- [XA_2064] ILO - Modelled Estimates
- [XA_2068] ILO - Modelled Estimates
- [XA_2070] ILO - Modelled Estimates
- [XA_2075] ILO - Modelled Estimates
- [XA_2080] ILO - Modelled Estimates
- [XA_2081] ILO - Modelled Estimates
- [XA_2082] ILO - Modelled Estimates
- [XA_2083] ILO - Modelled Estimates
- [XA_2084] ILO - Modelled Estimates
- [XA_2085] ILO - Modelled Estimates
- [XA_2086] ILO - Modelled Estimates
- [XA_2088] ILO - Modelled Estimates
- [XA_2089] ILO - Modelled Estimates
- [XA_2090] ILO - Modelled Estimates
- [XA_2092] ILO - Modelled Estimates
- [XA_2093] ILO - Modelled Estimates
- [XA_2096] ILO - Modelled Estimates
- [XA_2097] ILO - Modelled Estimates
- [XA_2098] ILO - Modelled Estimates
- [XA_2100] ILO - Modelled Estimates
- [XA_2101] ILO - Modelled Estimates
- [XA_2102] ILO - Modelled Estimates
- [XA_2104] ILO - Modelled Estimates
- [XA_2108] ILO - Modelled Estimates
- [XA_2109] ILO - Modelled Estimates
- [XA_2110] ILO - Modelled Estimates
- [XA_2112] ILO - Modelled Estimates
- [XA_2113] ILO - Modelled Estimates
- [XA_2114] ILO - Modelled Estimates
- [XA_2115] ILO - Modelled Estimates
- [XA_2116] ILO - Modelled Estimates
- [XA_2117] ILO - Modelled Estimates
- [XA_2118] ILO - Modelled Estimates
- [XA_2120] ILO - Modelled Estimates
- [XA_2121] ILO - Modelled Estimates
- [XA_2122] ILO - Modelled Estimates
- [XA_2124] ILO - Modelled Estimates
- [XA_2125] ILO - Modelled Estimates
- [XA_2126] ILO - Modelled Estimates
- [XA_2128] ILO - Modelled Estimates
- [XA_2129] ILO - Modelled Estimates
- [XA_2130] ILO - Modelled Estimates
- [XA_2132] ILO - Modelled Estimates
- [XA_2133] ILO - Modelled Estimates
- [XA_2134] ILO - Modelled Estimates
- [XA_2136] ILO - Modelled Estimates
- [XA_2137] ILO - Modelled Estimates
- [XA_2138] ILO - Modelled Estimates
- [XA_2140] ILO - Modelled Estimates
- [XA_2142] ILO - Modelled Estimates
- [XA_2144] ILO - Modelled Estimates
- [XA_2145] ILO - Modelled Estimates
- [XA_2146] ILO - Modelled Estimates
- [XA_2148] ILO - Modelled Estimates
- [XA_2149] ILO - Modelled Estimates
- [XA_2150] ILO - Modelled Estimates
- [XA_2152] ILO - Modelled Estimates
- [XA_2153] ILO - Modelled Estimates
- [XA_2156] ILO - Modelled Estimates
- [XA_2158] ILO - Modelled Estimates
- [XA_2160] ILO - Modelled Estimates
- [XA_2162] ILO - Modelled Estimates
- [XA_2164] ILO - Modelled Estimates
- [XA_2165] ILO - Modelled Estimates
- [XA_2166] ILO - Modelled Estimates
- [XA_2168] ILO - Modelled Estimates
- [XA_2170] ILO - Modelled Estimates
- [XA_2172] ILO - Modelled Estimates
- [XA_2173] ILO - Modelled Estimates
- [XA_2174] ILO - Modelled Estimates
- [XA_2176] ILO - Modelled Estimates
- [XA_2178] ILO - Modelled Estimates
- [XA_2180] ILO - Modelled Estimates
- [XA_2181] ILO - Modelled Estimates
- [XA_2182] ILO - Modelled Estimates
- [XA_2184] ILO - Modelled Estimates
- [XA_2185] ILO - Modelled Estimates
- [XA_2186] ILO - Modelled Estimates
- [XA_2188] ILO - Modelled Estimates
- [XA_2189] ILO - Modelled Estimates
- [XA_2190] ILO - Modelled Estimates
- [XA_2192] ILO - Modelled Estimates
- [XA_2193] ILO - Modelled Estimates
- [XA_2198] ILO - Modelled Estimates
- [XA_2202] ILO - Modelled Estimates
- [XA_2203] ILO - Modelled Estimates
- [XA_2206] ILO - Modelled Estimates
- [XA_2232] ILO - Modelled Estimates
- [XA_2234] ILO - Modelled Estimates
- [XA_8368] ILO - Modelled Estimates
- [XA_8371] ILO - Modelled Estimates
- [XA_8372] ILO - Modelled Estimates
- [XA_8373] ILO - Modelled Estimates
- [XA_8374] ILO - Modelled Estimates
- [XA_8375] ILO - Modelled Estimates
- [XA_8376] ILO - Modelled Estimates
- [XA_8377] ILO - Modelled Estimates
- [XA_8378] ILO - Modelled Estimates
- [XA_8379] ILO - Modelled Estimates
- [XA_8380] ILO - Modelled Estimates
- [XA_8381] ILO - Modelled Estimates
- [XA_8382] ILO - Modelled Estimates
- [XA_8383] ILO - Modelled Estimates
- [XA_8384] ILO - Modelled Estimates
- [XA_8385] ILO - Modelled Estimates
- [XA_8386] ILO - Modelled Estimates
- [XA_8387] ILO - Modelled Estimates
- [XA_8388] ILO - Modelled Estimates
- [XA_8389] ILO - Modelled Estimates
- [XA_8390] ILO - Modelled Estimates
- [XA_8391] ILO - Modelled Estimates
- [XA_8392] ILO - Modelled Estimates
- [XA_8393] ILO - Modelled Estimates
- [XA_8394] ILO - Modelled Estimates
- [XA_8395] ILO - Modelled Estimates
- [XA_8396] ILO - Modelled Estimates
- [XA_8397] ILO - Modelled Estimates
- [XA_8398] ILO - Modelled Estimates
- [XA_8399] ILO - Modelled Estimates
- [XA_8400] ILO - Modelled Estimates
- [XA_8401] ILO - Modelled Estimates
- [XA_8402] ILO - Modelled Estimates
- [XA_8403] ILO - Modelled Estimates
- [XA_8404] ILO - Modelled Estimates
- [XA_8405] ILO - Modelled Estimates
- [XA_8406] ILO - Modelled Estimates
- [XA_8407] ILO - Modelled Estimates
- [XA_8408] ILO - Modelled Estimates
- [XA_8409] ILO - Modelled Estimates
- [XA_8410] ILO - Modelled Estimates
- [XA_8411] ILO - Modelled Estimates
- [XA_8412] ILO - Modelled Estimates
- [XA_8413] ILO - Modelled Estimates
- [XA_8414] ILO - Modelled Estimates
- [XA_8415] ILO - Modelled Estimates
- [XA_8416] ILO - Modelled Estimates
- [XA_8417] ILO - Modelled Estimates
- [XA_8418] ILO - Modelled Estimates
- [XA_8419] ILO - Modelled Estimates
- [XA_8420] ILO - Modelled Estimates
- [XA_8421] ILO - Modelled Estimates
- [XA_8422] ILO - Modelled Estimates
- [XA_8423] ILO - Modelled Estimates
- [XA_8424] ILO - Modelled Estimates
- [XA_8425] ILO - Modelled Estimates
- [XA_8426] ILO - Modelled Estimates
- [XA_8427] ILO - Modelled Estimates
- [XA_8428] ILO - Modelled Estimates
- [XA_8429] ILO - Modelled Estimates
- [XA_8430] ILO - Modelled Estimates
- [XA_8431] ILO - Modelled Estimates
- [XA_8432] ILO - Modelled Estimates
- [XA_8434] ILO - Modelled Estimates
- [XA_8435] ILO - Modelled Estimates
- [XA_8436] ILO - Modelled Estimates
- [XA_8437] ILO - Modelled Estimates
- [XA_8438] ILO - Modelled Estimates
- [XA_8439] ILO - Modelled Estimates
- [XA_8440] ILO - Modelled Estimates
- [XA_8441] ILO - Modelled Estimates
- [XA_8442] ILO - Modelled Estimates
- [XA_8443] ILO - Modelled Estimates
- [XA_8444] ILO - Modelled Estimates
- [XA_8445] ILO - Modelled Estimates
- [XA_8446] ILO - Modelled Estimates
- [XA_8447] ILO - Modelled Estimates
- [XA_8448] ILO - Modelled Estimates
- [XA_8449] ILO - Modelled Estimates
- [XA_8450] ILO - Modelled Estimates
[classif1] Classification 1
- [AGE_YTHADULT_Y15-24] Age (Youth, adults): 15-24
- [AGE_YTHADULT_YGE15] Age (Youth, adults): 15+
- [AGE_YTHADULT_YGE25] Age (Youth, adults): 25+
[classif2] Classification 2
- [GEO_COV_NAT] Area type: National
- [GEO_COV_RUR] Area type: Rural
- [GEO_COV_URB] Area type: Urban
[sex] Sex
- [SEX_F] Sex: Female
- [SEX_M] Sex: Male
- [SEX_T] Sex: Total
[frequency] Frequency
- [A] Annual
Search filters
Reference area [ref_area] (283)
Source [source] (283)
Classification 1 [classif1] (3)
Classification 2 [classif2] (3)
Sex [sex] (3)
Frequency [frequency] (1)
This dataset has 7,641 series:
- from
- 2005=85.742
- to
- 2019=195.855
- min:
- 84.759
- max:
- 195.855
- avg:
- 122.994
- σ:
- 40.041
- from
- 2005=335.01
- to
- 2019=478.977
- min:
- 335.01
- max:
- 478.977
- avg:
- 396.429
- σ:
- 49.581
- from
- 2005=420.752
- to
- 2019=674.832
- min:
- 420.752
- max:
- 674.832
- avg:
- 519.423
- σ:
- 89.128
- from
- 2005=72.689
- to
- 2019=163.833
- min:
- 72.529
- max:
- 163.833
- avg:
- 105.574
- σ:
- 33.313
- from
- 2005=289.042
- to
- 2019=420.477
- min:
- 289.042
- max:
- 420.477
- avg:
- 348.49
- σ:
- 45.703
- from
- 2005=361.73
- to
- 2019=584.311
- min:
- 361.73
- max:
- 584.311
- avg:
- 454.063
- σ:
- 78.61
- from
- 2005=13.054
- to
- 2019=32.022
- min:
- 11.786
- max:
- 32.022
- avg:
- 17.421
- σ:
- 7.004
- from
- 2005=45.968
- to
- 2019=58.499
- min:
- 43.77
- max:
- 58.499
- avg:
- 47.939
- σ:
- 4.453
- from
- 2005=59.022
- to
- 2019=90.521
- min:
- 55.563
- max:
- 90.521
- avg:
- 65.36
- σ:
- 11.426
- from
- 2005=216.345
- to
- 2019=498.764
- min:
- 216.345
- max:
- 498.764
- avg:
- 315.933
- σ:
- 97.933
Series code | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_NAT.SEX_F.A] | 85.742 | 85.732 | 84.759 | 84.979 | 86.423 | 89.045 | 96.584 | 106.147 | 119.114 | 133.328 | 148.265 | 163.161 | 178.566 | 187.216 | 195.855 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_NAT.SEX_M.A] | 335.01 | 339.316 | 342.125 | 344.735 | 349.312 | 357.466 | 373.435 | 391.715 | 407.942 | 423.479 | 437.177 | 446 | 453.365 | 466.374 | 478.977 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_NAT.SEX_T.A] | 420.752 | 425.048 | 426.884 | 429.714 | 435.735 | 446.512 | 470.019 | 497.862 | 527.057 | 556.807 | 585.443 | 609.161 | 631.931 | 653.591 | 674.832 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_RUR.SEX_F.A] | 72.689 | 73.021 | 72.529 | 73.054 | 74.637 | 77.252 | 84.175 | 92.927 | 104.767 | 117.808 | 129.117 | 139.931 | 150.611 | 157.255 | 163.833 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_RUR.SEX_M.A] | 289.042 | 293.757 | 297.197 | 300.489 | 305.508 | 313.696 | 328.824 | 346.087 | 361.698 | 376.792 | 387.94 | 394.789 | 400.399 | 410.649 | 420.477 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_RUR.SEX_T.A] | 361.73 | 366.778 | 369.725 | 373.543 | 380.145 | 390.949 | 412.998 | 439.014 | 466.465 | 494.6 | 517.057 | 534.719 | 551.01 | 567.903 | 584.311 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_URB.SEX_F.A] | 13.054 | 12.712 | 12.231 | 11.925 | 11.786 | 11.793 | 12.409 | 13.22 | 14.347 | 15.519 | 19.148 | 23.23 | 27.955 | 29.962 | 32.022 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_URB.SEX_M.A] | 45.968 | 45.559 | 44.928 | 44.246 | 43.804 | 43.77 | 44.612 | 45.628 | 46.244 | 46.688 | 49.238 | 51.212 | 52.966 | 55.725 | 58.499 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_URB.SEX_T.A] | 59.022 | 58.271 | 57.158 | 56.171 | 55.59 | 55.563 | 57.021 | 58.848 | 60.592 | 62.207 | 68.386 | 74.442 | 80.921 | 85.687 | 90.521 |
[AFG.XA_2198.AGE_YTHADULT_YGE15.GEO_COV_NAT.SEX_F.A] | 216.345 | 220.172 | 222.476 | 226.285 | 232.149 | 239.83 | 255.311 | 274.604 | 304.726 | 337.981 | 373.698 | 411.289 | 451.03 | 474.328 | 498.764 |
Showing results 1 - 10 / 7,641