[POP_2POP_SEX_AGE_GEO_NB] Population by sex, age and rural / urban areas -- UN estimates, July 2022 (thousands)
Updated on DBnomics on September 5, 2023 (5:48 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
- [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
[source] Source
- [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
- [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
[classif1] Classification 1
- [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+
[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] (271)
Source [source] (271)
Classification 1 [classif1] (33)
Classification 2 [classif2] (3)
Sex [sex] (3)
Frequency [frequency] (1)
This dataset has 80,487 series:
- from
- 1990=5,346.409
- to
- 2015=16,682.054
- min:
- 5,346.409
- max:
- 16,682.054
- avg:
- 11,002.305
- σ:
- 3,733.619
- from
- 1990=5,348.387
- to
- 2015=17,071.446
- min:
- 5,348.387
- max:
- 17,071.446
- avg:
- 11,166.204
- σ:
- 3,872.284
- from
- 1990=10,694.796
- to
- 2015=33,753.499
- min:
- 10,694.796
- max:
- 33,753.499
- avg:
- 22,168.509
- σ:
- 7,605.846
- from
- 1990=4,370.901
- to
- 2015=12,231.689
- min:
- 4,370.901
- max:
- 12,231.689
- avg:
- 8,451.038
- σ:
- 2,584.804
- from
- 1990=4,365.255
- to
- 2015=12,508.776
- min:
- 4,365.255
- max:
- 12,508.776
- avg:
- 8,563.664
- σ:
- 2,685.569
- from
- 1990=8,735.966
- to
- 2015=24,740.447
- min:
- 8,735.966
- max:
- 24,740.447
- avg:
- 17,014.571
- σ:
- 5,270.371
- from
- 1990=975.508
- to
- 2015=4,450.364
- min:
- 975.508
- max:
- 4,450.364
- avg:
- 2,551.267
- σ:
- 1,157.261
- from
- 1990=983.132
- to
- 2015=4,562.669
- min:
- 983.132
- max:
- 4,562.669
- avg:
- 2,602.539
- σ:
- 1,194.772
- from
- 1990=1,958.83
- to
- 2015=9,013.052
- min:
- 1,958.83
- max:
- 9,013.052
- avg:
- 5,153.938
- σ:
- 2,351.965
- from
- 1990=1,034.74
- to
- 2015=3,548.851
- min:
- 1,034.74
- max:
- 3,548.851
- avg:
- 2,149.68
- σ:
- 820.617
Series code | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 |
---|---|---|---|---|---|---|
[AFG.XA_2198.AGE_10YRBANDS_TOTAL.GEO_COV_NAT.SEX_F.A] | 5346.409 | 8199.445 | 9727.541 | 12109.086 | 13949.295 | 16682.054 |
[AFG.XA_2198.AGE_10YRBANDS_TOTAL.GEO_COV_NAT.SEX_M.A] | 5348.387 | 8219.467 | 9815.442 | 12302.105 | 14240.377 | 17071.446 |
[AFG.XA_2198.AGE_10YRBANDS_TOTAL.GEO_COV_NAT.SEX_T.A] | 10694.796 | 16418.912 | 19542.982 | 24411.191 | 28189.672 | 33753.499 |
[AFG.XA_2198.AGE_10YRBANDS_TOTAL.GEO_COV_RUR.SEX_F.A] | 4370.901 | 6584.612 | 7663.801 | 9343.407 | 10511.817 | 12231.689 |
[AFG.XA_2198.AGE_10YRBANDS_TOTAL.GEO_COV_RUR.SEX_M.A] | 4365.255 | 6590.677 | 7720.259 | 9478.984 | 10718.035 | 12508.776 |
[AFG.XA_2198.AGE_10YRBANDS_TOTAL.GEO_COV_RUR.SEX_T.A] | 8735.966 | 13175.091 | 15383.894 | 18822.236 | 21229.789 | 24740.447 |
[AFG.XA_2198.AGE_10YRBANDS_TOTAL.GEO_COV_URB.SEX_F.A] | 975.508 | 1614.833 | 2063.74 | 2765.679 | 3437.478 | 4450.364 |
[AFG.XA_2198.AGE_10YRBANDS_TOTAL.GEO_COV_URB.SEX_M.A] | 983.132 | 1628.79 | 2095.182 | 2823.12 | 3522.342 | 4562.669 |
[AFG.XA_2198.AGE_10YRBANDS_TOTAL.GEO_COV_URB.SEX_T.A] | 1958.83 | 3243.821 | 4159.089 | 5588.954 | 6959.883 | 9013.052 |
[AFG.XA_2198.AGE_10YRBANDS_Y15-24.GEO_COV_NAT.SEX_F.A] | 1034.74 | 1557.336 | 1780.477 | 2240.202 | 2736.472 | 3548.851 |
Showing results 1 - 10 / 80,487