[POP_2POP_SEX_AGE_NB] Population by sex and age -- UN estimates and projections, July 2022 (thousands)
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
[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
[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_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
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[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
[AGE_10YRBANDS_TOTAL] Age (10-year bands): Total
[AGE_10YRBANDS_Y15-24] Age (10-year bands): 15-24
[AGE_10YRBANDS_Y25-34] Age (10-year bands): 25-34
[AGE_10YRBANDS_Y35-44] Age (10-year bands): 35-44
[AGE_10YRBANDS_Y45-54] Age (10-year bands): 45-54
[AGE_10YRBANDS_Y55-64] Age (10-year bands): 55-64
[AGE_10YRBANDS_YGE65] Age (10-year bands): 65+
[AGE_10YRBANDS_YLT15] Age (10-year bands): <15
[AGE_5YRBANDS_TOTAL] Age (5-year bands): Total
[AGE_5YRBANDS_Y00-04] Age (5-year bands): 0-4
[AGE_5YRBANDS_Y05-09] Age (5-year bands): 5-9
[AGE_5YRBANDS_Y10-14] Age (5-year bands): 10-14
[AGE_5YRBANDS_Y15-19] Age (5-year bands): 15-19
[AGE_5YRBANDS_Y20-24] Age (5-year bands): 20-24
[AGE_5YRBANDS_Y25-29] Age (5-year bands): 25-29
[AGE_5YRBANDS_Y30-34] Age (5-year bands): 30-34
[AGE_5YRBANDS_Y35-39] Age (5-year bands): 35-39
[AGE_5YRBANDS_Y40-44] Age (5-year bands): 40-44
[AGE_5YRBANDS_Y45-49] Age (5-year bands): 45-49
[AGE_5YRBANDS_Y50-54] Age (5-year bands): 50-54
[AGE_5YRBANDS_Y55-59] Age (5-year bands): 55-59
[AGE_5YRBANDS_Y60-64] Age (5-year bands): 60-64
[AGE_5YRBANDS_YGE65] Age (5-year bands): 65+
[AGE_AGGREGATE_TOTAL] Age (Aggregate bands): Total
[AGE_AGGREGATE_Y15-24] Age (Aggregate bands): 15-24
[AGE_AGGREGATE_Y25-54] Age (Aggregate bands): 25-54
[AGE_AGGREGATE_Y55-64] Age (Aggregate bands): 55-64
[AGE_AGGREGATE_YGE65] Age (Aggregate bands): 65+
[AGE_AGGREGATE_YLT15] Age (Aggregate bands): <15
[AGE_YTHADULT_Y15-24] Age (Youth, adults): 15-24
[AGE_YTHADULT_Y15-64] Age (Youth, adults): 15-64
[AGE_YTHADULT_YGE15] Age (Youth, adults): 15+
[AGE_YTHADULT_YGE25] Age (Youth, adults): 25+
[SEX_F] Sex: Female
[SEX_M] Sex: Male
[SEX_T] Sex: Total
[A] Annual
Search filters
Reference area [ref_area] (271)
Source [source] (271)
Classification 1 [classif1] (33)
Sex [sex] (3)
Frequency [frequency] (1)
This dataset has 26,829 series:
[AFG.XA_2198.AGE_10YRBANDS_TOTAL.SEX_F.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (10-year bands): Total – Sex: Female – Annual
- from
- 1990=5,346.409
- to
- 2020=19,279.93
- min:
- 5,346.409
- max:
- 19,279.93
- avg:
- 12,121.08
- σ:
- 4,011.23
[AFG.XA_2198.AGE_10YRBANDS_TOTAL.SEX_M.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (10-year bands): Total – Sex: Male – Annual
- from
- 1990=5,348.387
- to
- 2020=19,692.301
- min:
- 5,348.387
- max:
- 19,692.301
- avg:
- 12,319.304
- σ:
- 4,159.624
[AFG.XA_2198.AGE_10YRBANDS_TOTAL.SEX_T.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (10-year bands): Total – Sex: Total – Annual
- from
- 1990=10,694.796
- to
- 2020=38,972.231
- min:
- 10,694.796
- max:
- 38,972.231
- avg:
- 24,440.383
- σ:
- 8,170.812
[AFG.XA_2198.AGE_10YRBANDS_Y15-24.SEX_F.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (10-year bands): 15-24 – Sex: Female – Annual
- from
- 1990=1,034.74
- to
- 2020=4,153.476
- min:
- 1,034.74
- max:
- 4,153.476
- avg:
- 2,404.726
- σ:
- 926.097
[AFG.XA_2198.AGE_10YRBANDS_Y15-24.SEX_M.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (10-year bands): 15-24 – Sex: Male – Annual
- from
- 1990=1,048.014
- to
- 2020=4,337.299
- min:
- 1,048.014
- max:
- 4,337.299
- avg:
- 2,500.64
- σ:
- 976.424
[AFG.XA_2198.AGE_10YRBANDS_Y15-24.SEX_T.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (10-year bands): 15-24 – Sex: Total – Annual
- from
- 1990=2,082.754
- to
- 2020=8,490.775
- min:
- 2,082.754
- max:
- 8,490.775
- avg:
- 4,905.366
- σ:
- 1,902.514
[AFG.XA_2198.AGE_10YRBANDS_Y25-34.SEX_F.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (10-year bands): 25-34 – Sex: Female – Annual
- from
- 1990=692.456
- to
- 2020=2,734.918
- min:
- 692.456
- max:
- 2,734.918
- avg:
- 1,560.44
- σ:
- 547.692
[AFG.XA_2198.AGE_10YRBANDS_Y25-34.SEX_M.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (10-year bands): 25-34 – Sex: Male – Annual
- from
- 1990=648.711
- to
- 2020=2,796.206
- min:
- 648.711
- max:
- 2,796.206
- avg:
- 1,577.977
- σ:
- 589.721
[AFG.XA_2198.AGE_10YRBANDS_Y25-34.SEX_T.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (10-year bands): 25-34 – Sex: Total – Annual
- from
- 1990=1,341.167
- to
- 2020=5,531.124
- min:
- 1,341.167
- max:
- 5,531.124
- avg:
- 3,138.416
- σ:
- 1,137.254
[AFG.XA_2198.AGE_10YRBANDS_Y35-44.SEX_F.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (10-year bands): 35-44 – Sex: Female – Annual
- from
- 1990=475.09
- to
- 2020=1,684.127
- min:
- 471.248
- max:
- 1,684.127
- avg:
- 1,037.669
- σ:
- 351.372
Series code | 1990 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[AFG.XA_2198.AGE_10YRBANDS_TOTAL.SEX_F.A] | 5346.409 | 5372.208 | 6028.939 | 7000.119 | 7722.096 | 8199.445 | 8537.421 | 8871.958 | 9217.591 | 9595.036 | 9727.541 | 9793.166 | 10438.055 | 11247.647 | 11690.825 | 12109.086 | 12614.498 | 12835.34 | 13088.192 | 13557.331 | 13949.295 | 14468.875 | 15067.373 | 15594.637 | 16172.321 | 16682.054 | 17115.347 | 17614.722 | 18136.922 | 18679.089 | 19279.93 |
[AFG.XA_2198.AGE_10YRBANDS_TOTAL.SEX_M.A] | 5348.387 | 5372.96 | 6028.495 | 7003.641 | 7733.458 | 8219.467 | 8569.175 | 8916.862 | 9275.541 | 9667.812 | 9815.442 | 9895.467 | 10562.202 | 11397.483 | 11862.726 | 12302.105 | 12828.447 | 13067.961 | 13339.007 | 13827.977 | 14240.377 | 14780.282 | 15399.106 | 15946.572 | 16543.889 | 17071.446 | 17520.861 | 18028.696 | 18549.863 | 19090.409 | 19692.301 |
[AFG.XA_2198.AGE_10YRBANDS_TOTAL.SEX_T.A] | 10694.796 | 10745.167 | 12057.433 | 14003.76 | 15455.555 | 16418.912 | 17106.596 | 17788.819 | 18493.132 | 19262.848 | 19542.982 | 19688.633 | 21000.257 | 22645.13 | 23553.551 | 24411.191 | 25442.944 | 25903.301 | 26427.199 | 27385.308 | 28189.672 | 29249.157 | 30466.479 | 31541.209 | 32716.21 | 33753.499 | 34636.207 | 35643.418 | 36686.784 | 37769.499 | 38972.231 |
[AFG.XA_2198.AGE_10YRBANDS_Y15-24.SEX_F.A] | 1034.74 | 1038.414 | 1162.496 | 1344.743 | 1475.783 | 1557.336 | 1609.737 | 1659.537 | 1710.456 | 1766.987 | 1780.477 | 1786.15 | 1902.076 | 2052.399 | 2141.259 | 2240.202 | 2361.851 | 2397.155 | 2461.427 | 2610.166 | 2736.472 | 2905.47 | 3093.585 | 3248.88 | 3413.903 | 3548.851 | 3654.025 | 3777.06 | 3900.158 | 4021.246 | 4153.476 |
[AFG.XA_2198.AGE_10YRBANDS_Y15-24.SEX_M.A] | 1048.014 | 1055.646 | 1185.043 | 1375.359 | 1514.657 | 1602.941 | 1661.428 | 1716.483 | 1771.331 | 1831.413 | 1846.932 | 1853.936 | 1975.554 | 2133.08 | 2226.685 | 2328.345 | 2452.747 | 2497.84 | 2571.385 | 2725.02 | 2858.826 | 3032.7 | 3224.798 | 3387.079 | 3558.924 | 3702.727 | 3818.61 | 3948.664 | 4075.644 | 4200.723 | 4337.299 |
[AFG.XA_2198.AGE_10YRBANDS_Y15-24.SEX_T.A] | 2082.754 | 2094.06 | 2347.538 | 2720.101 | 2990.44 | 3160.277 | 3271.165 | 3376.02 | 3481.787 | 3598.4 | 3627.408 | 3640.086 | 3877.63 | 4185.478 | 4367.944 | 4568.547 | 4814.597 | 4894.995 | 5032.812 | 5335.185 | 5595.298 | 5938.17 | 6318.383 | 6635.958 | 6972.827 | 7251.577 | 7472.636 | 7725.723 | 7975.801 | 8221.969 | 8490.775 |
[AFG.XA_2198.AGE_10YRBANDS_Y25-34.SEX_F.A] | 692.456 | 696.026 | 781.028 | 906.13 | 998.203 | 1057.946 | 1099.249 | 1139.958 | 1182.009 | 1228.061 | 1242.508 | 1247.999 | 1327 | 1426.358 | 1478.595 | 1539.803 | 1615.05 | 1595.605 | 1586.006 | 1646.586 | 1683.19 | 1764.29 | 1873.672 | 1962.894 | 2072.778 | 2165.941 | 2240.985 | 2343.747 | 2459.053 | 2585.59 | 2734.918 |
[AFG.XA_2198.AGE_10YRBANDS_Y25-34.SEX_M.A] | 648.711 | 652.248 | 732.798 | 853.477 | 945.543 | 1008.574 | 1056.124 | 1104.285 | 1154.066 | 1208.319 | 1232.038 | 1246.394 | 1333.822 | 1441.83 | 1502.32 | 1570.762 | 1651.916 | 1637.888 | 1633.094 | 1697.788 | 1738.589 | 1823.338 | 1935.819 | 2028.133 | 2140.609 | 2235.923 | 2313.183 | 2415.721 | 2527.558 | 2650.198 | 2796.206 |
[AFG.XA_2198.AGE_10YRBANDS_Y25-34.SEX_T.A] | 1341.167 | 1348.275 | 1513.825 | 1759.607 | 1943.746 | 2066.52 | 2155.374 | 2244.243 | 2336.074 | 2436.38 | 2474.546 | 2494.392 | 2660.822 | 2868.189 | 2980.915 | 3110.565 | 3266.966 | 3233.493 | 3219.099 | 3344.374 | 3421.778 | 3587.627 | 3809.49 | 3991.028 | 4213.387 | 4401.863 | 4554.168 | 4759.467 | 4986.611 | 5235.788 | 5531.124 |
[AFG.XA_2198.AGE_10YRBANDS_Y35-44.SEX_F.A] | 475.09 | 471.248 | 522.26 | 600.004 | 656.296 | 694.411 | 722.07 | 748.773 | 776.628 | 807.501 | 818.017 | 823.224 | 877.698 | 946.627 | 985.483 | 1026.925 | 1077.851 | 1087.133 | 1100.955 | 1146.548 | 1180.333 | 1231.959 | 1294.389 | 1345.487 | 1403.303 | 1450.647 | 1485.73 | 1529.003 | 1574.603 | 1623.423 | 1684.127 |
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Reference area [ref_area] (271)
Source [source] (271)
Classification 1 [classif1] (33)
Sex [sex] (3)
Frequency [frequency] (1)
This dataset has 26,829 series:
[AFG.XA_2198.AGE_10YRBANDS_TOTAL.SEX_F.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (10-year bands): Total – Sex: Female – Annual
- from
- 1990=5,346.409
- to
- 2020=19,279.93
- min:
- 5,346.409
- max:
- 19,279.93
- avg:
- 12,121.08
- σ:
- 4,011.23
[AFG.XA_2198.AGE_10YRBANDS_TOTAL.SEX_M.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (10-year bands): Total – Sex: Male – Annual
- from
- 1990=5,348.387
- to
- 2020=19,692.301
- min:
- 5,348.387
- max:
- 19,692.301
- avg:
- 12,319.304
- σ:
- 4,159.624
[AFG.XA_2198.AGE_10YRBANDS_TOTAL.SEX_T.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (10-year bands): Total – Sex: Total – Annual
- from
- 1990=10,694.796
- to
- 2020=38,972.231
- min:
- 10,694.796
- max:
- 38,972.231
- avg:
- 24,440.383
- σ:
- 8,170.812
[AFG.XA_2198.AGE_10YRBANDS_Y15-24.SEX_F.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (10-year bands): 15-24 – Sex: Female – Annual
- from
- 1990=1,034.74
- to
- 2020=4,153.476
- min:
- 1,034.74
- max:
- 4,153.476
- avg:
- 2,404.726
- σ:
- 926.097
[AFG.XA_2198.AGE_10YRBANDS_Y15-24.SEX_M.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (10-year bands): 15-24 – Sex: Male – Annual
- from
- 1990=1,048.014
- to
- 2020=4,337.299
- min:
- 1,048.014
- max:
- 4,337.299
- avg:
- 2,500.64
- σ:
- 976.424
[AFG.XA_2198.AGE_10YRBANDS_Y15-24.SEX_T.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (10-year bands): 15-24 – Sex: Total – Annual
- from
- 1990=2,082.754
- to
- 2020=8,490.775
- min:
- 2,082.754
- max:
- 8,490.775
- avg:
- 4,905.366
- σ:
- 1,902.514
[AFG.XA_2198.AGE_10YRBANDS_Y25-34.SEX_F.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (10-year bands): 25-34 – Sex: Female – Annual
- from
- 1990=692.456
- to
- 2020=2,734.918
- min:
- 692.456
- max:
- 2,734.918
- avg:
- 1,560.44
- σ:
- 547.692
[AFG.XA_2198.AGE_10YRBANDS_Y25-34.SEX_M.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (10-year bands): 25-34 – Sex: Male – Annual
- from
- 1990=648.711
- to
- 2020=2,796.206
- min:
- 648.711
- max:
- 2,796.206
- avg:
- 1,577.977
- σ:
- 589.721
[AFG.XA_2198.AGE_10YRBANDS_Y25-34.SEX_T.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (10-year bands): 25-34 – Sex: Total – Annual
- from
- 1990=1,341.167
- to
- 2020=5,531.124
- min:
- 1,341.167
- max:
- 5,531.124
- avg:
- 3,138.416
- σ:
- 1,137.254
[AFG.XA_2198.AGE_10YRBANDS_Y35-44.SEX_F.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (10-year bands): 35-44 – Sex: Female – Annual
- from
- 1990=475.09
- to
- 2020=1,684.127
- min:
- 471.248
- max:
- 1,684.127
- avg:
- 1,037.669
- σ:
- 351.372
Series code | 1990 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[AFG.XA_2198.AGE_10YRBANDS_TOTAL.SEX_F.A] | 5346.409 | 5372.208 | 6028.939 | 7000.119 | 7722.096 | 8199.445 | 8537.421 | 8871.958 | 9217.591 | 9595.036 | 9727.541 | 9793.166 | 10438.055 | 11247.647 | 11690.825 | 12109.086 | 12614.498 | 12835.34 | 13088.192 | 13557.331 | 13949.295 | 14468.875 | 15067.373 | 15594.637 | 16172.321 | 16682.054 | 17115.347 | 17614.722 | 18136.922 | 18679.089 | 19279.93 |
[AFG.XA_2198.AGE_10YRBANDS_TOTAL.SEX_M.A] | 5348.387 | 5372.96 | 6028.495 | 7003.641 | 7733.458 | 8219.467 | 8569.175 | 8916.862 | 9275.541 | 9667.812 | 9815.442 | 9895.467 | 10562.202 | 11397.483 | 11862.726 | 12302.105 | 12828.447 | 13067.961 | 13339.007 | 13827.977 | 14240.377 | 14780.282 | 15399.106 | 15946.572 | 16543.889 | 17071.446 | 17520.861 | 18028.696 | 18549.863 | 19090.409 | 19692.301 |
[AFG.XA_2198.AGE_10YRBANDS_TOTAL.SEX_T.A] | 10694.796 | 10745.167 | 12057.433 | 14003.76 | 15455.555 | 16418.912 | 17106.596 | 17788.819 | 18493.132 | 19262.848 | 19542.982 | 19688.633 | 21000.257 | 22645.13 | 23553.551 | 24411.191 | 25442.944 | 25903.301 | 26427.199 | 27385.308 | 28189.672 | 29249.157 | 30466.479 | 31541.209 | 32716.21 | 33753.499 | 34636.207 | 35643.418 | 36686.784 | 37769.499 | 38972.231 |
[AFG.XA_2198.AGE_10YRBANDS_Y15-24.SEX_F.A] | 1034.74 | 1038.414 | 1162.496 | 1344.743 | 1475.783 | 1557.336 | 1609.737 | 1659.537 | 1710.456 | 1766.987 | 1780.477 | 1786.15 | 1902.076 | 2052.399 | 2141.259 | 2240.202 | 2361.851 | 2397.155 | 2461.427 | 2610.166 | 2736.472 | 2905.47 | 3093.585 | 3248.88 | 3413.903 | 3548.851 | 3654.025 | 3777.06 | 3900.158 | 4021.246 | 4153.476 |
[AFG.XA_2198.AGE_10YRBANDS_Y15-24.SEX_M.A] | 1048.014 | 1055.646 | 1185.043 | 1375.359 | 1514.657 | 1602.941 | 1661.428 | 1716.483 | 1771.331 | 1831.413 | 1846.932 | 1853.936 | 1975.554 | 2133.08 | 2226.685 | 2328.345 | 2452.747 | 2497.84 | 2571.385 | 2725.02 | 2858.826 | 3032.7 | 3224.798 | 3387.079 | 3558.924 | 3702.727 | 3818.61 | 3948.664 | 4075.644 | 4200.723 | 4337.299 |
[AFG.XA_2198.AGE_10YRBANDS_Y15-24.SEX_T.A] | 2082.754 | 2094.06 | 2347.538 | 2720.101 | 2990.44 | 3160.277 | 3271.165 | 3376.02 | 3481.787 | 3598.4 | 3627.408 | 3640.086 | 3877.63 | 4185.478 | 4367.944 | 4568.547 | 4814.597 | 4894.995 | 5032.812 | 5335.185 | 5595.298 | 5938.17 | 6318.383 | 6635.958 | 6972.827 | 7251.577 | 7472.636 | 7725.723 | 7975.801 | 8221.969 | 8490.775 |
[AFG.XA_2198.AGE_10YRBANDS_Y25-34.SEX_F.A] | 692.456 | 696.026 | 781.028 | 906.13 | 998.203 | 1057.946 | 1099.249 | 1139.958 | 1182.009 | 1228.061 | 1242.508 | 1247.999 | 1327 | 1426.358 | 1478.595 | 1539.803 | 1615.05 | 1595.605 | 1586.006 | 1646.586 | 1683.19 | 1764.29 | 1873.672 | 1962.894 | 2072.778 | 2165.941 | 2240.985 | 2343.747 | 2459.053 | 2585.59 | 2734.918 |
[AFG.XA_2198.AGE_10YRBANDS_Y25-34.SEX_M.A] | 648.711 | 652.248 | 732.798 | 853.477 | 945.543 | 1008.574 | 1056.124 | 1104.285 | 1154.066 | 1208.319 | 1232.038 | 1246.394 | 1333.822 | 1441.83 | 1502.32 | 1570.762 | 1651.916 | 1637.888 | 1633.094 | 1697.788 | 1738.589 | 1823.338 | 1935.819 | 2028.133 | 2140.609 | 2235.923 | 2313.183 | 2415.721 | 2527.558 | 2650.198 | 2796.206 |
[AFG.XA_2198.AGE_10YRBANDS_Y25-34.SEX_T.A] | 1341.167 | 1348.275 | 1513.825 | 1759.607 | 1943.746 | 2066.52 | 2155.374 | 2244.243 | 2336.074 | 2436.38 | 2474.546 | 2494.392 | 2660.822 | 2868.189 | 2980.915 | 3110.565 | 3266.966 | 3233.493 | 3219.099 | 3344.374 | 3421.778 | 3587.627 | 3809.49 | 3991.028 | 4213.387 | 4401.863 | 4554.168 | 4759.467 | 4986.611 | 5235.788 | 5531.124 |
[AFG.XA_2198.AGE_10YRBANDS_Y35-44.SEX_F.A] | 475.09 | 471.248 | 522.26 | 600.004 | 656.296 | 694.411 | 722.07 | 748.773 | 776.628 | 807.501 | 818.017 | 823.224 | 877.698 | 946.627 | 985.483 | 1026.925 | 1077.851 | 1087.133 | 1100.955 | 1146.548 | 1180.333 | 1231.959 | 1294.389 | 1345.487 | 1403.303 | 1450.647 | 1485.73 | 1529.003 | 1574.603 | 1623.423 | 1684.127 |
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