[POP_2POP_GEO_NB] Population by rural / urban areas -- UN estimates and projections, 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
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- [XA_1939] ILO - Modelled Estimates
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- [XA_1944] ILO - Modelled Estimates
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- [XA_1947] ILO - Modelled Estimates
- [XA_1949] ILO - Modelled Estimates
- [XA_1950] ILO - Modelled Estimates
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- [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
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- [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
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- [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
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- [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
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- [XA_8380] ILO - Modelled Estimates
- [XA_8381] ILO - Modelled Estimates
- [XA_8382] ILO - Modelled Estimates
- [XA_8383] ILO - Modelled Estimates
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- [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
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- [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
- [GEO_COV_NAT] Area type: National
- [GEO_COV_RUR] Area type: Rural
- [GEO_COV_URB] Area type: Urban
[frequency] Frequency
- [A] Annual
Search filters
Reference area [ref_area] (271)
Source [source] (271)
Classification 1 [classif1] (3)
Frequency [frequency] (1)
This dataset has 813 series:
- from
- 1990=398.058
- to
- 2030=1,076.298
- min:
- 398.058
- max:
- 1,349.681
- avg:
- 951.219
- σ:
- 314.927
- from
- 1990=1,502.094
- to
- 2030=8,928.021
- min:
- 1,502.094
- max:
- 8,928.021
- avg:
- 5,571.306
- σ:
- 2,770.158
- from
- 1990=32,637.657
- to
- 2030=47,678.561
- min:
- 32,637.657
- max:
- 47,678.561
- avg:
- 40,860.931
- σ:
- 4,547.623
- from
- 1990=4,248.189
- to
- 2030=3,218.692
- min:
- 3,218.692
- max:
- 4,248.189
- avg:
- 3,768.858
- σ:
- 293.073
- from
- 1990=28,389.467
- to
- 2030=44,459.868
- min:
- 28,389.467
- max:
- 44,459.868
- avg:
- 37,092.073
- σ:
- 4,837.529
- from
- 1990=3,556.539
- to
- 2030=2,759.529
- min:
- 2,759.529
- max:
- 3,617.631
- avg:
- 3,021.623
- σ:
- 246.408
- from
- 1990=1,158.693
- to
- 2030=950.703
- min:
- 950.703
- max:
- 1,188.379
- avg:
- 1,073.003
- σ:
- 59.908
- from
- 1990=2,397.846
- to
- 2030=1,808.825
- min:
- 1,767.627
- max:
- 2,429.252
- avg:
- 1,948.62
- σ:
- 192.61
- from
- 1990=17,048.003
- to
- 2030=28,202.414
- min:
- 17,048.003
- max:
- 28,202.414
- avg:
- 22,293.859
- σ:
- 3,565.676
- from
- 1990=2,483.403
- to
- 2030=3,490.58
- min:
- 2,483.403
- max:
- 3,538.327
- avg:
- 3,191.345
- σ:
- 328.839
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 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | 2027 | 2028 | 2029 | 2030 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[ARE.XA_1978.GEO_COV_RUR.A] | 398.058 | 423.644 | 449.482 | 475.473 | 501.515 | 527.719 | 553.319 | 578.375 | 602.403 | 625.393 | 647.324 | 668.226 | 687.97 | 706.554 | 723.948 | 759.343 | 850.085 | 997.024 | 1161.011 | 1299.433 | 1349.681 | 1335.767 | 1321.474 | 1306.962 | 1292.282 | 1277.409 | 1262.317 | 1247.073 | 1231.867 | 1216.949 | 1202.913 | 1189.48 | 1176.128 | 1163.07 | 1150.247 | 1137.576 | 1125.043 | 1112.621 | 1100.328 | 1088.207 | 1076.298 |
[ARE.XA_1978.GEO_COV_URB.A] | 1502.094 | 1584.739 | 1666.749 | 1747.811 | 1827.509 | 1906.269 | 2019.416 | 2167.743 | 2318.727 | 2472.17 | 2628.009 | 2785.971 | 2945.685 | 3106.889 | 3269.391 | 3521.65 | 4048.87 | 4875.6 | 5827.673 | 6693.211 | 7132.09 | 7239.438 | 7343.496 | 7444.886 | 7543.67 | 7639.49 | 7731.946 | 7821.222 | 7908.302 | 7994.708 | 8084.376 | 8175.664 | 8265.001 | 8353.801 | 8441.607 | 8527.743 | 8612.004 | 8694.07 | 8773.953 | 8851.877 | 8928.021 |
[ARG.XA_1868.GEO_COV_NAT.A] | 32637.657 | 33105.763 | 33568.286 | 34027.24 | 34488.696 | 34946.11 | 35389.362 | 35815.971 | 36233.195 | 36653.031 | 37070.774 | 37480.493 | 37885.028 | 38278.164 | 38668.796 | 39070.501 | 39476.851 | 39876.112 | 40273.769 | 40684.339 | 41100.123 | 41520.74 | 41952.365 | 42388.269 | 42824.054 | 43257.065 | 43668.241 | 44054.616 | 44413.596 | 44745.52 | 45036.032 | 45276.78 | 45510.318 | 45773.884 | 46057.866 | 46337.52 | 46613.495 | 46885.957 | 47154.446 | 47418.599 | 47678.561 |
[ARG.XA_1868.GEO_COV_RUR.A] | 4248.189 | 4195.248 | 4182.032 | 4167.652 | 4152.603 | 4136.221 | 4117.291 | 4095.937 | 4072.807 | 4049.406 | 4025.139 | 3999.698 | 3974.286 | 3947.977 | 3920.954 | 3894.879 | 3868.806 | 3841.697 | 3814.034 | 3787.466 | 3760.974 | 3741.223 | 3725.159 | 3709.218 | 3692.794 | 3675.752 | 3656.445 | 3634.947 | 3610.619 | 3583.682 | 3553.117 | 3518.438 | 3483.093 | 3449.928 | 3418.137 | 3385.86 | 3353.17 | 3320.108 | 3286.666 | 3252.849 | 3218.692 |
[ARG.XA_1868.GEO_COV_URB.A] | 28389.467 | 28910.515 | 29386.253 | 29859.587 | 30336.093 | 30809.889 | 31272.071 | 31720.034 | 32160.388 | 32603.625 | 33045.634 | 33480.795 | 33910.742 | 34330.186 | 34747.842 | 35175.622 | 35608.045 | 36034.414 | 36459.735 | 36896.873 | 37339.149 | 37779.517 | 38227.206 | 38679.051 | 39131.26 | 39581.314 | 40011.796 | 40419.669 | 40802.977 | 41161.838 | 41482.915 | 41758.342 | 42027.225 | 42323.956 | 42639.729 | 42951.66 | 43260.324 | 43565.85 | 43867.779 | 44165.751 | 44459.868 |
[ARM.XA_1931.GEO_COV_NAT.A] | 3556.539 | 3617.631 | 3574.555 | 3457.35 | 3373.713 | 3322.782 | 3298.898 | 3271.418 | 3240.55 | 3206.03 | 3168.523 | 3133.134 | 3105.038 | 3084.102 | 3065.745 | 3047.246 | 3026.487 | 3004.393 | 2983.421 | 2964.297 | 2946.293 | 2928.976 | 2914.421 | 2901.385 | 2889.93 | 2878.595 | 2865.835 | 2851.923 | 2836.557 | 2820.602 | 2805.608 | 2790.974 | 2780.469 | 2777.971 | 2777.979 | 2777.003 | 2775.109 | 2772.323 | 2768.743 | 2764.47 | 2759.529 |
[ARM.XA_1931.GEO_COV_RUR.A] | 1158.693 | 1188.379 | 1183.95 | 1154.545 | 1135.854 | 1127.841 | 1128.852 | 1128.501 | 1126.866 | 1123.813 | 1119.556 | 1115.85 | 1110.489 | 1106.057 | 1102.518 | 1098.888 | 1094.412 | 1089.413 | 1084.786 | 1080.787 | 1077.166 | 1073.765 | 1071.352 | 1068.759 | 1066.034 | 1062.64 | 1058.017 | 1052.274 | 1045.31 | 1037.459 | 1029.305 | 1020.637 | 1012.842 | 1007.32 | 1002.054 | 995.786 | 988.55 | 980.373 | 971.308 | 961.408 | 950.703 |
[ARM.XA_1931.GEO_COV_URB.A] | 2397.846 | 2429.252 | 2390.605 | 2302.804 | 2237.859 | 2194.941 | 2170.045 | 2142.917 | 2113.684 | 2082.217 | 2048.968 | 2017.283 | 1994.549 | 1978.045 | 1963.227 | 1948.358 | 1932.075 | 1914.98 | 1898.634 | 1883.51 | 1869.127 | 1855.211 | 1843.069 | 1832.625 | 1823.896 | 1815.955 | 1807.818 | 1799.649 | 1791.247 | 1783.142 | 1776.304 | 1770.337 | 1767.627 | 1770.651 | 1775.925 | 1781.217 | 1786.559 | 1791.95 | 1797.434 | 1803.062 | 1808.825 |
[AUS.XA_2202.GEO_COV_NAT.A] | 17048.003 | 17271.086 | 17462.504 | 17631.511 | 17805.504 | 18002.999 | 18211.846 | 18410.25 | 18601.667 | 18800.892 | 19017.963 | 19248.143 | 19475.844 | 19698.999 | 19925.056 | 20171.731 | 20467.03 | 20830.828 | 21247.873 | 21660.892 | 22019.169 | 22357.034 | 22729.269 | 23111.782 | 23469.58 | 23820.237 | 24195.702 | 24590.334 | 24979.23 | 25357.17 | 25670.051 | 25921.089 | 26177.414 | 26439.112 | 26699.482 | 26958.053 | 27214.033 | 27467.17 | 27717.005 | 27962.25 | 28202.414 |
[AUS.XA_2202.GEO_COV_RUR.A] | 2483.403 | 2521.068 | 2569.574 | 2616.988 | 2665.776 | 2718.728 | 2774.123 | 2828.565 | 2882.653 | 2938.645 | 2998.197 | 3060.39 | 3072.93 | 3084.353 | 3095.805 | 3110.112 | 3131.387 | 3161.72 | 3199.32 | 3235.553 | 3262.821 | 3286.422 | 3318.124 | 3350.758 | 3379.17 | 3405.982 | 3435.724 | 3466.341 | 3494.16 | 3518.483 | 3531.878 | 3535.005 | 3537.157 | 3538.327 | 3537.609 | 3534.953 | 3530.271 | 3523.553 | 3514.767 | 3503.783 | 3490.58 |
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