[EIP_2WAP_SEX_AGE_RT] Inactivity rate by sex and age -- ILO modelled estimates, Nov. 2023 (%)
Updated on DBnomics on December 18, 2023 (4:52 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
- [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
[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_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
[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+
[sex] Sex
- [SEX_F] Sex: Female
- [SEX_M] Sex: Male
- [SEX_T] Sex: Total
[frequency] Frequency
- [A] Annual
Search filters
Reference area [ref_area] (274)
Source [source] (274)
Classification 1 [classif1] (3)
Sex [sex] (3)
Frequency [frequency] (1)
This dataset has 2,466 series:
- from
- 1991=43.126
- to
- 2025=46.097
- min:
- 42.04
- max:
- 46.388
- avg:
- 44.179
- σ:
- 1.039
- from
- 1991=41.74
- to
- 2025=46.763
- min:
- 41.648
- max:
- 46.887
- avg:
- 43.476
- σ:
- 1.663
- from
- 1991=24.511
- to
- 2025=27.321
- min:
- 24.337
- max:
- 27.321
- avg:
- 25.266
- σ:
- 1.095
- from
- 1991=20.519
- to
- 2025=22.535
- min:
- 20.095
- max:
- 22.837
- avg:
- 21.229
- σ:
- 0.75
- from
- 1991=22.568
- to
- 2025=24.986
- min:
- 22.554
- max:
- 24.986
- avg:
- 23.306
- σ:
- 0.889
- from
- 1991=16.318
- to
- 2025=16.816
- min:
- 14.553
- max:
- 17.453
- avg:
- 16.158
- σ:
- 0.706
- from
- 1991=8.411
- to
- 2025=9.312
- min:
- 7.393
- max:
- 10.714
- avg:
- 8.444
- σ:
- 0.967
- from
- 1991=12.495
- to
- 2025=13.202
- min:
- 11.466
- max:
- 14.208
- avg:
- 12.46
- σ:
- 0.766
- from
- 1991=49.476
- to
- 2025=73.703
- min:
- 48.916
- max:
- 80.827
- avg:
- 64.345
- σ:
- 10.113
- from
- 1991=39.909
- to
- 2025=61.526
- min:
- 39.595
- max:
- 64.436
- avg:
- 52.689
- σ:
- 8.903
Series code | 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 | 2021 | 2022 | 2023 | 2024 | 2025 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[AGO.XA_2010.AGE_YTHADULT_Y15-24.SEX_M.A] | 43.126 | 43.069 | 43.217 | 43.313 | 43.443 | 43.344 | 43.4 | 43.575 | 43.846 | 44.169 | 44.195 | 44.268 | 44.448 | 44.602 | 44.714 | 44.541 | 44.4 | 44.3 | 44.283 | 44.288 | 42.04 | 42.454 | 42.865 | 43.273 | 43.679 | 44.084 | 44.487 | 44.887 | 45.284 | 45.161 | 44.448 | 46.388 | 46.366 | 46.209 | 46.097 |
[AGO.XA_2010.AGE_YTHADULT_Y15-24.SEX_T.A] | 41.74 | 41.659 | 41.648 | 41.72 | 41.871 | 41.846 | 41.912 | 42.054 | 42.256 | 42.5 | 42.526 | 42.62 | 42.754 | 42.896 | 43.02 | 42.918 | 42.848 | 42.796 | 42.765 | 42.764 | 42.366 | 42.768 | 43.172 | 43.576 | 43.981 | 44.387 | 44.794 | 45.202 | 45.61 | 45.915 | 45.452 | 46.856 | 46.887 | 46.809 | 46.763 |
[AGO.XA_2010.AGE_YTHADULT_YGE15.SEX_F.A] | 24.511 | 24.519 | 24.515 | 24.501 | 24.48 | 24.485 | 24.478 | 24.46 | 24.434 | 24.402 | 24.398 | 24.386 | 24.37 | 24.352 | 24.337 | 24.352 | 24.362 | 24.37 | 24.375 | 24.375 | 25.13 | 25.362 | 25.595 | 25.829 | 26.064 | 26.3 | 26.538 | 26.776 | 27.015 | 26.953 | 25.306 | 27.157 | 27.24 | 27.279 | 27.321 |
[AGO.XA_2010.AGE_YTHADULT_YGE15.SEX_M.A] | 20.519 | 20.477 | 20.47 | 20.5 | 20.57 | 20.558 | 20.59 | 20.659 | 20.757 | 20.874 | 20.886 | 20.931 | 20.997 | 21.067 | 21.128 | 21.079 | 21.045 | 21.021 | 21.007 | 21.007 | 20.095 | 20.425 | 20.759 | 21.096 | 21.437 | 21.782 | 22.13 | 22.482 | 22.837 | 22.764 | 21.867 | 21.998 | 22.264 | 22.418 | 22.535 |
[AGO.XA_2010.AGE_YTHADULT_YGE15.SEX_T.A] | 22.568 | 22.555 | 22.554 | 22.566 | 22.591 | 22.586 | 22.597 | 22.621 | 22.655 | 22.696 | 22.701 | 22.716 | 22.739 | 22.763 | 22.784 | 22.766 | 22.754 | 22.745 | 22.74 | 22.74 | 22.685 | 22.963 | 23.244 | 23.528 | 23.813 | 24.101 | 24.392 | 24.685 | 24.98 | 24.912 | 23.63 | 24.643 | 24.814 | 24.908 | 24.986 |
[AGO.XA_2010.AGE_YTHADULT_YGE25.SEX_F.A] | 16.318 | 16.426 | 16.532 | 16.502 | 16.388 | 16.351 | 16.264 | 16.132 | 15.966 | 15.771 | 15.692 | 15.556 | 15.436 | 15.303 | 15.183 | 15.213 | 15.235 | 15.273 | 15.344 | 15.403 | 15.863 | 16.083 | 16.308 | 16.532 | 16.748 | 16.951 | 17.135 | 17.302 | 17.453 | 16.971 | 14.553 | 16.839 | 16.852 | 16.836 | 16.816 |
[AGO.XA_2010.AGE_YTHADULT_YGE25.SEX_M.A] | 8.411 | 8.406 | 8.301 | 8.242 | 8.201 | 8.138 | 8.045 | 7.939 | 7.82 | 7.702 | 7.592 | 7.519 | 7.434 | 7.396 | 7.393 | 7.408 | 7.458 | 7.529 | 7.595 | 7.693 | 7.652 | 8.049 | 8.457 | 8.867 | 9.27 | 9.659 | 10.03 | 10.381 | 10.714 | 10.636 | 9.572 | 8.62 | 8.942 | 9.167 | 9.312 |
[AGO.XA_2010.AGE_YTHADULT_YGE25.SEX_T.A] | 12.495 | 12.556 | 12.573 | 12.545 | 12.473 | 12.425 | 12.336 | 12.218 | 12.078 | 11.923 | 11.832 | 11.727 | 11.623 | 11.533 | 11.466 | 11.486 | 11.519 | 11.57 | 11.635 | 11.71 | 11.927 | 12.229 | 12.539 | 12.85 | 13.154 | 13.444 | 13.716 | 13.971 | 14.208 | 13.921 | 12.155 | 12.882 | 13.044 | 13.143 | 13.202 |
[ALB.XA_2137.AGE_YTHADULT_Y15-24.SEX_F.A] | 49.476 | 48.916 | 49.576 | 50.19 | 51.234 | 52.028 | 51.059 | 51.868 | 53.081 | 53.844 | 54.802 | 55.367 | 58.168 | 60.921 | 63.597 | 66.177 | 68.648 | 70.998 | 69.953 | 72.363 | 63.907 | 72.19 | 80.827 | 79.538 | 76.905 | 73.585 | 74.659 | 72.16 | 69.98 | 72.489 | 71.952 | 72.294 | 72.542 | 73.094 | 73.703 |
[ALB.XA_2137.AGE_YTHADULT_Y15-24.SEX_M.A] | 39.909 | 39.595 | 40.017 | 40.433 | 41.169 | 41.746 | 40.989 | 41.529 | 42.404 | 42.953 | 43.691 | 44.119 | 47.311 | 50.522 | 53.728 | 56.903 | 60.016 | 63.049 | 61.014 | 60.729 | 48.297 | 55.867 | 64.436 | 62.868 | 60.772 | 63.257 | 62.293 | 56.642 | 56.966 | 60.081 | 59.033 | 59.536 | 59.991 | 60.735 | 61.526 |
Showing results 11 - 20 / 2,466