Population by rural / urban areas -- UN estimates and projections, July 2022 (thousands) [POP_2POP_GEO_NB]

Updated on DBnomics on September 5, 2023 (5:48 AM)

Reference area [ref_area]
Source [source]
Classification 1 [classif1]
Frequency [frequency]

Dataset has 813 series. Add search filters to narrow them.

Series code 19901991199219931994199519961997199819992000200120022003200420052006200720082009201020112012201320142015201620172018201920202021202220232024202520262027202820292030
AFG.XA_2198.GEO_COV_NAT.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.GEO_COV_RUR.A 8430.001 8460.153 9482.593 11000.779 12127.383 12868.52 13392.039 13910.042 14443.991 15027.632 15228.3 15323.781 16325.33 17583.164 18253.902 18869.106 19614.665 19916.339 20264.43 20942.211 21498.317 22244.709 23105.867 23853.801 24672.268 25381.71 25970.229 26643.328 27333.528 28042.527 28829.156
AFG.XA_2198.GEO_COV_URB.A 2264.795 2285.014 2574.84 3002.981 3328.171 3550.392 3714.557 3878.777 4049.141 4235.216 4314.683 4364.852 4674.927 5061.966 5299.648 5542.085 5828.279 5986.962 6162.769 6443.097 6691.355 7004.448 7360.612 7687.407 8043.942 8371.789 8665.979 9000.09 9353.256 9726.971 10143.075
AGO.XA_2010.GEO_COV_NAT.A 11828.638 12228.691 12632.507 13038.27 13462.031 13912.252 14383.35 14871.146 15366.864 15870.753 16394.062 16941.587 17516.139 18124.343 18771.125 19450.959 20162.34 20909.684 21691.522 22507.674 23364.186 24259.112 25188.293 26147.002 27128.337 28127.721 29154.746 30208.628 31273.533 32353.588 33428.486 34503.774 35588.987 36684.203 37804.634 38942.792 40099.526 41274.799 42468.711 43680.934 44911.664
AGO.XA_2010.GEO_COV_RUR.A 7434.972 7510.817 7574.628 7626.004 7673.358 7767.344 7861.047 7952.296 8035.334 8110.394 8182.71 8254.939 8326.987 8401.495 8479.491 8558.421 8717.438 8881.531 9049.19 9220.391 9396.288 9575.619 9755.857 9935.432 10110.581 10281.676 10452.213 10621.791 10784.863 10943.074 11089.857 11227.59 11359.776 11486.719 11613.377 11737.514 11859.55 11979.633 12097.964 12214.633 12329.888
AGO.XA_2010.GEO_COV_URB.A 4393.665 4717.873 5057.879 5412.265 5788.673 6144.909 6522.303 6918.85 7331.53 7760.359 8211.352 8686.647 9189.152 9722.847 10291.634 10892.537 11444.902 12028.153 12642.332 13287.283 13967.897 14683.493 15432.435 16211.57 17017.755 17846.045 18702.533 19586.837 20488.67 21410.514 22338.629 23276.184 24229.211 25197.484 26191.257 27205.277 28239.976 29295.166 30370.746 31466.301 32581.776
ALB.XA_2137.GEO_COV_NAT.A 3295.066 3302.081 3303.739 3300.711 3293.999 3284.364 3271.331 3253.719 3232.175 3208.26 3182.021 3153.612 3123.551 3092.991 3062.623 3032.634 3003.387 2976.084 2951.689 2930.541 2913.4 2900.654 2892.193 2887.014 2884.102 2882.481 2881.063 2879.355 2877.013 2873.884 2866.849 2854.71 2842.321 2832.439 2826.02 2821.627 2816.695 2811.11 2804.772 2797.599 2789.599
ALB.XA_2137.GEO_COV_RUR.A 2094.728 2090.218 2073.137 2053.064 2030.623 2006.372 1980.051 1951.09 1919.882 1887.441 1853.818 1815.386 1764.784 1714.359 1664.494 1615.452 1567.307 1520.729 1476.123 1433.726 1393.689 1356.139 1320.868 1287.976 1256.809 1226.944 1197.908 1169.509 1141.631 1114.241 1086.186 1057.124 1028.939 1002.604 978.382 955.699 933.653 912.211 891.344 871.033 851.285
ALB.XA_2137.GEO_COV_URB.A 1200.337 1211.864 1230.602 1247.646 1263.375 1277.992 1291.28 1302.629 1312.293 1320.819 1328.203 1338.226 1358.767 1378.632 1398.128 1417.182 1436.08 1455.355 1475.566 1496.816 1519.711 1544.515 1571.325 1599.038 1627.293 1655.537 1683.155 1709.846 1735.382 1759.642 1780.663 1797.586 1813.382 1829.835 1847.638 1865.927 1883.042 1898.899 1913.428 1926.566 1938.313
ARE.XA_1978.GEO_COV_NAT.A 1900.151 2008.384 2116.231 2223.284 2329.024 2433.989 2572.735 2746.119 2921.13 3097.563 3275.333 3454.198 3633.655 3813.443 3993.339 4280.993 4898.955 5872.624 6988.685 7992.644 8481.771 8575.205 8664.969 8751.848 8835.951 8916.899 8994.263 9068.296 9140.17 9211.657 9287.289 9365.145 9441.129 9516.871 9591.853 9665.32 9737.048 9806.692 9874.281 9940.085 10004.319
Dimension codes and labels
[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
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  • [XA_16111] ILO - Modelled Estimates
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  • [XA_1843] ILO - Modelled Estimates
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  • [XA_1950] ILO - Modelled Estimates
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  • [XA_1960] ILO - Modelled Estimates
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  • [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
  • [GEO_COV_NAT] Area type: National
  • [GEO_COV_RUR] Area type: Rural
  • [GEO_COV_URB] Area type: Urban
[frequency] Frequency
  • [A] Annual
Technical links