city_id large_stringlengths 14 14 | name large_stringlengths 1 52 | name_en large_stringlengths 2 58 ⌀ | name_ja large_stringlengths 2 20 ⌀ | country_iso2 large_stringclasses 175
values | admin1 large_stringlengths 3 79 ⌀ | lat float64 -53.16 69.4 | lon float64 -157.86 178 | capital_of large_stringclasses 5
values | population_reported int32 100k 24.9M | population_reported_source large_stringclasses 6
values | log10_population float64 5 7.4 | wikidata large_stringlengths 3 10 ⌀ | overture_id large_stringlengths 36 36 | elevation_m int64 -24 4.51k | relief_1km_m int64 0 5.57k | nearest_large_airport_km float64 1 917 | nearest_large_airport_iata large_stringlengths 0 3 | large_airports_within_50km int64 0 5 | nearest_medium_airport_km float64 1.1 907 | nearest_medium_airport_iata large_stringlengths 0 3 | medium_airports_within_50km int64 0 4 | nearest_port_km float64 0.2 2.7k | nearest_port_name large_stringclasses 660
values | ports_within_50km int64 0 6 | r10_area_km2 float64 309 320 | r10_pop_2025 int64 108 13.3M | r10_pop_2000 int64 295 9.18M | r10_density_per_km2 float64 0.3 42.3k | r10_built_km2 float64 0.01 130 | r10_built_share float64 0 0.41 | r10_built_greenness_mean float64 41.2 84.2 | agglo_type large_stringclasses 3
values | agglo_area_km2 float64 0.47 55.9k ⌀ | agglo_pop_2025 float64 81 96.3M ⌀ | agglo_pop_2000 float64 8 78.9M ⌀ | agglo_density_per_km2 float64 47.5 36.9k ⌀ | agglo_built_km2 float64 0 5.06k ⌀ | agglo_built_share float64 0 0.43 ⌀ | agglo_built_greenness_mean float64 44.2 82.1 ⌀ | admin_area_km2 float64 0.73 5.8k ⌀ | admin_pop_2025 float64 66 21.7M ⌀ | admin_pop_2000 float64 61 13.5M ⌀ | admin_density_per_km2 float64 11.6 75.1k ⌀ | admin_built_km2 float64 0.01 362 ⌀ | admin_built_share float64 0 0.55 ⌀ | admin_built_greenness_mean float64 43.2 83.7 ⌀ | admin_pop_ratio float64 0 15.5 ⌀ | admin_boundary_flag large_stringclasses 3
values | r10_pop_growth_2000_2025_pct float64 -93.3 2.49k ⌀ | agglo_pop_growth_2000_2025_pct float64 -88.2 3.43k ⌀ | admin_pop_growth_2000_2025_pct float64 -94.2 1.01k ⌀ | agglo_shared_by_n_cities float64 1 92 ⌀ | clim_station_id large_stringlengths 11 11 ⌀ | clim_station_km float64 0 50 ⌀ | clim_station_elev_m float64 -999.9 4.51k ⌀ | clim_station_name large_stringlengths 2 30 ⌀ | clim_temp_mean_c float64 -8.1 31.8 ⌀ | clim_temp_warmest_month_c float64 7.6 38.7 ⌀ | clim_temp_coldest_month_c float64 -37 28.6 ⌀ | clim_tmax_hottest_month_c float64 10.4 47.4 ⌀ | clim_tmin_coldest_month_c float64 -39.8 25.6 ⌀ | clim_warmest_month float64 1 12 ⌀ | clim_years_used float64 6 30 ⌀ | clim_precip_annual_mm float64 6 4.27k ⌀ | clim_precip_wettest_month float64 1 12 ⌀ | clim_temp_m01_c float64 -36.9 29.4 ⌀ | clim_temp_m02_c float64 -32.6 30.7 ⌀ | clim_temp_m03_c float64 -19 33.2 ⌀ | clim_temp_m04_c float64 -4 35.2 ⌀ | clim_temp_m05_c float64 1.2 36.4 ⌀ | clim_temp_m06_c float64 1.5 37.2 ⌀ | clim_temp_m07_c float64 1.4 38.7 ⌀ | clim_temp_m08_c float64 3.2 38.4 ⌀ | clim_temp_m09_c float64 3.5 36 ⌀ | clim_temp_m10_c float64 -7 33.3 ⌀ | clim_temp_m11_c float64 -26 31.2 ⌀ | clim_temp_m12_c float64 -37 30.5 ⌀ | clim_precip_m01_mm float64 0 684 ⌀ | clim_precip_m02_mm float64 0 524 ⌀ | clim_precip_m03_mm float64 0 486 ⌀ | clim_precip_m04_mm float64 0 353 ⌀ | clim_precip_m05_mm float64 0 388 ⌀ | clim_precip_m06_mm float64 0 980 ⌀ | clim_precip_m07_mm float64 0 1.03k ⌀ | clim_precip_m08_mm float64 0 909 ⌀ | clim_precip_m09_mm float64 0 523 ⌀ | clim_precip_m10_mm float64 0 598 ⌀ | clim_precip_m11_mm float64 0 679 ⌀ | clim_precip_m12_mm float64 0 688 ⌀ | r3_road_km float64 0.2 1.86k ⌀ | r3_road_km_per_km2 float64 0.01 65.9 ⌀ | r3_major_road_km float64 0 419 ⌀ | r3_motorway_km float64 0 120 ⌀ | r3_footway_cycleway_km float64 0 1.28k ⌀ | r3_residential_km float64 0 706 ⌀ | r3_rail_km float64 0 346 ⌀ | r3_waterway_km float64 0 152 ⌀ | r3_park_share float64 0 0.34 ⌀ | r3_open_green_share float64 0 1 ⌀ | data_as_of large_stringdate 2026-11-03 00:00:00 2026-11-03 00:00:00 | agglo_snap_px float64 0 4.2 ⌀ | agglo_touch_edge bool 2
classes | cell int64 30.1k 206k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
LC6fa0287f24ff | 上海市 | Shanghai | 上海市 | CN | 上海市 | 31.23234 | 121.4691 | region | 24,870,895 | Esri Community Maps,OpenStreetMap | 7.4 | Q8686 | 6fa0287f-24ff-4841-b055-9760a6512e34 | 19 | 36 | 13.4 | SHA | 2 | 97.1 | JNH | 0 | 2.1 | Shanghai | 1 | 315.7 | 12,073,028 | 5,931,841 | 38,241.7 | 104.38 | 0.3306 | 57.55 | urban_centre | 3,128.67 | 30,639,342 | 15,072,896 | 9,793.1 | 716.2 | 0.2289 | 60.63 | null | null | null | null | null | null | null | null | no_boundary | 103.5 | 103.3 | null | 7 | CHM00058367 | 8 | 7 | SHANGHAI/HONGQIAO | 17.5 | 29.4 | 5.2 | 32.9 | 2 | 7 | 10 | 1,239 | 6 | 5.2 | 7.1 | 10.2 | 15.8 | 21.5 | 24.8 | 29.4 | 28.8 | 25.2 | 19.8 | 14 | 8.4 | 77 | 47 | 120 | 66 | 80 | 211 | 193 | 198 | 101 | 60 | 44 | 41 | 703.6 | 24.88 | 286.3 | 0 | 117 | 156.914445 | 156.1 | 1.9 | 0.0518 | 0.0518 | 2026-11-03 | 0 | false | 84,842 |
LCf95122556ba0 | 北京市 | Beijing | 北京市 | CN | 北京市 | 39.90571 | 116.3913 | country | 21,893,095 | Esri Community Maps,OpenStreetMap | 7.34 | Q956 | f9512255-6ba0-4f19-a3a8-44a84780182f | 48 | 23 | 25.9 | PEK | 2 | 154.4 | ZQZ | 0 | 135.3 | Tianjin | 0 | 314.84 | 6,833,278 | 4,085,334 | 21,704 | 109.16 | 0.3467 | 56.06 | urban_centre | 2,255.84 | 18,589,710 | 10,867,569 | 8,240.7 | 575.73 | 0.2552 | 58.82 | null | null | null | null | null | null | null | null | no_boundary | 67.3 | 71.1 | null | 2 | CHM00054511 | 9.7 | 55 | BEIJING | 13.3 | 27.2 | -2.3 | 31.7 | -7.1 | 7 | 27 | 532 | 7 | -2.3 | 0.9 | 7.2 | 14.8 | 20.8 | 25.2 | 27.2 | 26.1 | 21.2 | 14 | 5.6 | -0.7 | 3 | 6 | 10 | 22 | 38 | 74 | 169 | 116 | 50 | 28 | 15 | 3 | 673 | 23.8 | 179.4 | 0 | 206.9 | 92.01956 | 104.9 | 1.3 | 0.1086 | 0.1086 | 2026-11-03 | 0 | false | 72,592 |
LCde28647dcb29 | ঢাকা | Dhaka | ダッカ | BD | ঢাকা বিভাগ | 23.76439 | 90.38901 | country | 21,741,000 | Esri Community Maps,OpenStreetMap | 7.34 | Q1354 | de28647d-cb29-4dc3-a3e0-5d29bb2c718a | 19 | 13 | 8.8 | DAC | 1 | 87.7 | IXA | 0 | 164.1 | Mongla | 0 | 313.55 | 13,278,198 | 5,844,262 | 42,348.5 | 63.13 | 0.2013 | 58.79 | urban_centre | 7,381.61 | 41,351,521 | 22,946,866 | 5,602 | 461.53 | 0.0625 | 69.02 | null | null | null | null | null | null | null | null | no_boundary | 127.2 | 80.2 | null | 13 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 591.5 | 20.92 | 191 | 18.297077 | 47.8 | 231.671419 | 32.8 | 3.2 | 0.0387 | 0.0389 | 2026-11-03 | 0 | false | 95,580 |
LC553dd6881ab7 | 成都市 | Chengdu | 成都市 | CN | 四川省 | 30.65987 | 104.06332 | region | 20,937,757 | Esri Community Maps,OpenStreetMap | 7.32 | Q30002 | 553dd688-1ab7-4e5e-b89c-0466418a6175 | 497 | 16 | 15.9 | CTU | 1 | 107.1 | MIG | 0 | 905.5 | Chang Sha | 0 | 315.38 | 3,491,483 | 3,565,598 | 11,070.6 | 88.91 | 0.2819 | 59.36 | urban_centre | 863.3 | 5,577,511 | 5,621,879 | 6,460.7 | 209.33 | 0.2425 | 60.41 | null | null | null | null | null | null | null | null | no_boundary | -2.1 | -0.8 | null | 1 | CHM00056294 | 4.5 | 508 | CHENGDU | 17.2 | 26.4 | 6.4 | 30.2 | 3.4 | 7 | 13 | 795 | 8 | 6.4 | 9 | 12.6 | 17.9 | 22 | 24.6 | 26.4 | 25.8 | 22.5 | 17.9 | 13.2 | 7.9 | 7 | 12 | 19 | 44 | 60 | 114 | 179 | 211 | 94 | 36 | 14 | 6 | 538.4 | 19.04 | 204.4 | 0 | 78.8 | 88.298462 | 111.1 | 4.7 | 0.0368 | 0.0368 | 2026-11-03 | 0 | false | 85,528 |
LC7201cf6c4eed | 深圳市 | Shenzhen | 深セン市 | CN | 广东省 | 22.54457 | 114.05454 | null | 17,560,061 | Esri Community Maps,OpenStreetMap | 7.24 | Q15174 | 7201cf6c-4eed-4998-acfe-db91978f45f7 | 8 | 24 | 27.9 | SZX | 2 | 79.3 | HUZ | 0 | 22.1 | Yantian | 3 | 310.07 | 3,770,258 | 2,152,138 | 12,159.4 | 44.15 | 0.1424 | 66.67 | urban_centre | 6,694.4 | 44,028,687 | 29,912,936 | 6,576.9 | 1,442.76 | 0.2155 | 59.95 | null | null | null | null | null | null | null | null | no_boundary | 75.2 | 47.2 | null | 15 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 776.5 | 27.46 | 306.4 | 4.762756 | 193.5 | 98.117464 | 167.3 | 0 | 0.168 | 0.2079 | 2026-11-03 | 0 | false | 97,068 |
LC41acb1c75654 | Kinshasa | Kinshasa | キンシャサ | CD | Kinshasa | -4.32171 | 15.31225 | country | 17,032,322 | OpenStreetMap | 7.23 | Q3091458 | 41acb1c7-5654-481b-bc27-a76aceafe676 | 275 | 8 | 10.2 | BZV | 2 | 246.7 | SSY | 0 | 371.9 | Cabinda | 0 | 312.51 | 9,325,681 | 3,691,145 | 29,841.2 | 90.2 | 0.2886 | 55.9 | urban_centre | 687.49 | 16,140,890 | 6,704,678 | 23,477.9 | 217.95 | 0.317 | 59.53 | 3.42 | 254,936 | 101,172 | 74,438.5 | 1.88 | 0.5476 | 53 | 0.015 | suspect | 152.7 | 140.7 | 152 | 2 | CF000004450 | 10.5 | 314 | BRAZZAVILLE | 26.2 | 27.6 | 23.7 | 32.5 | 19.2 | 4 | 28 | null | null | 26.8 | 27 | 27.4 | 27.6 | 26.8 | 24.7 | 23.7 | 24.5 | 26.2 | 26.6 | 26.5 | 26.5 | null | null | null | null | null | null | null | null | null | null | null | null | 505.7 | 17.89 | 126.4 | 0 | 16.4 | 238.269006 | 24.3 | 0.2 | 0.0087 | 0.0279 | 2026-11-03 | 0 | false | 135,750 |
LC052d2a6f2ca5 | Delhi | Delhi | デリー | IN | Delhi | 28.66645 | 77.21698 | null | 16,787,941 | OpenStreetMap | 7.22 | Q1353 | 052d2a6f-2ca5-49b4-afd3-2970fd80439c | 218 | 15 | 17.1 | DEL | 1 | 167.1 | MZS | 0 | 917.4 | Bhavnagar | 0 | 319.44 | 9,341,636 | 6,128,123 | 29,244 | 97.61 | 0.3056 | 58.75 | urban_centre | 2,247.45 | 31,702,412 | 18,770,187 | 14,105.9 | 549.02 | 0.2443 | 59.15 | 1,396.29 | 21,699,335 | 13,478,120 | 15,540.7 | 277.95 | 0.1991 | 59.55 | 1.293 | ok | 52.4 | 68.9 | 61 | 9 | IN022021900 | 9.4 | 216 | NEW DELHI/SAFDARJUN | 25.3 | 33.4 | 14 | 40.1 | 7.3 | 6 | 30 | 815 | 8 | 14 | 17.6 | 23 | 29 | 32.8 | 33.4 | 31.6 | 30.6 | 29.6 | 26.2 | 20.6 | 15.6 | 17 | 12 | 18 | 8 | 15 | 93 | 235 | 255 | 134 | 14 | 4 | 10 | 697.9 | 24.68 | 171.7 | 0 | 75.7 | 283.703765 | 193.4 | 0 | 0.041 | 0.042 | 2026-11-03 | 0 | false | 88,354 |
LC6046fdb53aa1 | İstanbul | Istanbul | イスタンブール | TR | İstanbul | 41.00638 | 28.97587 | region | 15,701,602 | Esri Community Maps,OpenStreetMap | 7.2 | Q406 | 6046fdb5-3aa1-463a-a61b-66cf4b4aec57 | 39 | 49 | 30.5 | SAW | 2 | 89.8 | TEQ | 0 | 1.6 | Istanbul | 1 | 312.96 | 4,250,428 | 3,763,904 | 13,581.2 | 56.79 | 0.1815 | 55.66 | urban_centre | 1,271.06 | 14,180,704 | 10,378,045 | 11,156.6 | 267.5 | 0.2105 | 58.92 | null | null | null | null | null | null | null | null | no_boundary | 12.9 | 36.6 | null | 32 | TU000017062 | 10 | 33 | ISTANBUL | 14.8 | 24.6 | 6.2 | 28.9 | 3.3 | 8 | 14 | null | null | 6.3 | 6.2 | 8.1 | 12.4 | 17.1 | 21.8 | 24.5 | 24.6 | 20.6 | 16.6 | 11.6 | 7.6 | null | null | null | null | null | null | null | null | null | null | null | null | 437.2 | 15.46 | 104 | 0 | 156 | 94.556929 | 60.9 | 139.4 | 0.037 | 0.6764 | 2026-11-03 | 0 | false | 70,257 |
LC01cb702e8752 | کراچی | Karachi | カラチ | PK | سندھ | 24.85468 | 67.02071 | region | 14,910,352 | Esri Community Maps,OpenStreetMap | 7.17 | Q8660 | 01cb702e-8752-46a8-a823-328326dd1390 | 7 | 19 | 15.3 | KHI | 1 | 204.7 | WNS | 0 | 5.2 | Karachi | 1 | 311.64 | 11,476,718 | 6,073,440 | 36,826.5 | 73.39 | 0.2355 | 52.87 | urban_centre | 822.41 | 21,021,781 | 10,921,790 | 25,561.1 | 181.13 | 0.2202 | 54.13 | null | null | null | null | null | null | null | null | no_boundary | 89 | 92.5 | null | 3 | PKM00041780 | 15.3 | 30.5 | JINNAH INTL | 26.9 | 31.8 | 19 | 35.8 | 11.6 | 6 | 22 | 185 | 8 | 19 | 21.5 | 26 | 29.4 | 31.3 | 31.8 | 30.6 | 29.4 | 29.6 | 28.9 | 24.8 | 20.8 | 8 | 2 | 1 | 2 | 5 | 14 | 54 | 57 | 30 | 6 | 0 | 4 | 700.2 | 24.76 | 201.9 | 2.277191 | 14.9 | 344.415555 | 47.7 | 0 | 0.0453 | 0.0522 | 2026-11-03 | 0 | false | 94,094 |
LC60e623db8dcc | 广州市 | Guangzhou | 広州市 | CN | 广东省 | 23.12884 | 113.25896 | region | 14,043,500 | Esri Community Maps,OpenStreetMap | 7.15 | Q16572 | 60e623db-8dcc-41ab-9b53-3ecd618b50e5 | 12 | 41 | 29.6 | CAN | 1 | 19.9 | FUO | 1 | 15.9 | Guangzhou | 1 | 313.48 | 7,810,773 | 4,616,116 | 24,916.4 | 88.9 | 0.2836 | 58.41 | urban_centre | 6,694.4 | 44,028,687 | 29,912,936 | 6,576.9 | 1,442.76 | 0.2155 | 59.95 | null | null | null | null | null | null | null | null | no_boundary | 69.2 | 47.2 | null | 15 | CHM00059287 | 24.9 | 71 | GUANGZHOU | 23.1 | 29.6 | 14.4 | 33.4 | 10.3 | 7 | 27 | 1,917 | 6 | 14.4 | 16 | 18.8 | 23 | 26.6 | 28.4 | 29.6 | 29.4 | 28 | 25.1 | 21 | 16.3 | 58 | 59 | 82 | 191 | 332 | 360 | 228 | 256 | 214 | 69 | 37 | 30 | 764.6 | 27.04 | 305.6 | 0.308658 | 256.5 | 50.245985 | 144.1 | 0 | 0.0964 | 0.1029 | 2026-11-03 | 0 | false | 96,346 |
LC72a14537bd94 | Thành phố Hồ Chí Minh | Ho Chi Minh City | ホーチミン市 | VN | Thành phố Hồ Chí Minh | 10.77373 | 106.7166 | region | 14,002,598 | Esri Community Maps,OpenStreetMap | 7.15 | Q1854 | 72a14537-bd94-4676-b177-9e006ea11ba3 | 0 | 9 | 8.7 | SGN | 1 | 195.6 | VKG | 0 | 2.3 | Ho Chi Minh City | 1 | 316.31 | 6,419,388 | 2,932,450 | 20,294.5 | 82.53 | 0.2609 | 58.27 | urban_centre | 1,522.97 | 14,622,455 | 6,631,746 | 9,601.3 | 362.45 | 0.238 | 61.96 | null | null | null | null | null | null | null | null | no_boundary | 118.9 | 120.5 | null | 55 | VM000048900 | 7.2 | 5 | TAN SON HOA | 28.3 | 30.2 | 26.6 | 35.1 | 21.6 | 4 | 22 | null | null | 27 | 27.9 | 29.2 | 30.2 | 29.8 | 29 | 28.3 | 28.4 | 28 | 27.6 | 27.4 | 26.6 | null | null | null | null | null | null | null | null | null | null | null | null | 728.5 | 25.77 | 212.8 | 0 | 131.3 | 176.27848 | 46.1 | 20.4 | 0.0524 | 0.053 | 2026-11-03 | 0 | false | 114,333 |
LC57aa7a95c608 | 天津市 | Tianjin | 天津市 | CN | 天津市 | 39.08441 | 117.19575 | region | 13,866,009 | Esri Community Maps,OpenStreetMap | 7.14 | Q11736 | 57aa7a95-c608-4283-bb1c-12bb16e42c0a | 8 | 15 | 13.7 | TSN | 1 | 172.9 | BPE | 0 | 24 | Tianjin | 1 | 314.58 | 5,020,698 | 3,170,769 | 15,960 | 87.14 | 0.277 | 55.5 | urban_centre | 681.43 | 7,330,010 | 4,570,328 | 10,756.9 | 179.1 | 0.2628 | 56.42 | null | null | null | null | null | null | null | null | no_boundary | 58.3 | 60.4 | null | 1 | CHM00054527 | 3 | 5 | TIANJIN | 13.5 | 27.4 | -2.6 | 31.7 | -7.5 | 7 | 30 | 524 | 7 | -2.6 | 0.8 | 7.5 | 15.2 | 21.2 | 25.4 | 27.4 | 26.4 | 21.7 | 14.4 | 5.8 | -0.8 | 2 | 5 | 6 | 22 | 36 | 79 | 153 | 122 | 52 | 31 | 14 | 2 | 442.4 | 15.65 | 272.9 | 0 | 48.1 | 64.331062 | 93.2 | 0 | 0.1626 | 0.1626 | 2026-11-03 | 0 | false | 73,314 |
LC798895d45005 | 東京都 | Tokyo | 東京都 | JP | 東京都 | 35.67686 | 139.76389 | country | 13,613,660 | Esri Community Maps,OpenStreetMap | 7.13 | Q1490 | 798895d4-5005-4b1d-b805-ee44a1f99a54 | 40 | 37 | 14.3 | HND | 1 | 21.3 | 1 | 6.2 | Tokyo | 4 | 313.87 | 4,288,831 | 3,824,071 | 13,664.5 | 103.23 | 0.3289 | 51.52 | urban_centre | 5,213.61 | 33,254,130 | 30,731,644 | 6,378.3 | 1,470.83 | 0.2821 | 57.69 | null | null | null | null | null | null | null | null | no_boundary | 12.2 | 8.2 | null | 92 | JA000047662 | 0.7 | 36 | TOKYO | 16.6 | 28 | 6 | 31.4 | 1.9 | 8 | 28 | 1,628 | 10 | 6 | 6.8 | 9.8 | 14.9 | 19.5 | 22.6 | 26.7 | 28 | 24.3 | 18.8 | 13.4 | 8.6 | 49 | 62 | 116 | 151 | 140 | 174 | 135 | 146 | 225 | 262 | 105 | 63 | 1,561 | 55.21 | 397.6 | 75.860139 | 743 | 139.944198 | 267.3 | 23.2 | 0.0821 | 0.0837 | 2026-11-03 | 0 | false | 78,399 | |
LCa3994343c519 | 苏州市 | Suzhou | 蘇州市 | CN | 江苏省 | 31.31112 | 120.62129 | county | 12,748,262 | Esri Community Maps,OpenStreetMap | 7.11 | Q42622 | a3994343-c519-41b6-bf7c-4878edbbca01 | 14 | 12 | 27.5 | WUX | 1 | 68.3 | JNH | 0 | 78.7 | Jiangyin | 0 | 314.71 | 3,942,474 | 1,707,340 | 12,527.5 | 75.28 | 0.2392 | 58.53 | urban_centre | 1,808.09 | 11,504,659 | 6,365,377 | 6,362.9 | 400.23 | 0.2214 | 60.34 | null | null | null | null | null | null | null | null | no_boundary | 130.9 | 80.7 | null | 4 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 493.8 | 17.46 | 212.8 | 1.999952 | 71.8 | 83.668481 | 89.9 | 9.4 | 0.0554 | 0.0554 | 2026-11-03 | 0 | false | 84,841 |
LC71ed2bb498ea | Москва | Moscow | モスクワ | RU | Москва | 55.75054 | 37.61748 | country | 12,700,000 | Esri Community Maps,OpenStreetMap | 7.1 | Q649 | 71ed2bb4-98ea-4aa9-b620-625aedb85f9a | 152 | 30 | 28.5 | VKO | 4 | 243.7 | IWA | 0 | 634.6 | Sankt-Peterburg | 0 | 316.04 | 3,943,568 | 3,059,513 | 12,478.1 | 78.91 | 0.2497 | 59.89 | urban_centre | 1,631.05 | 14,750,308 | 11,589,380 | 9,043.4 | 303.01 | 0.1858 | 65.21 | 1,017.4 | 12,315,032 | 9,622,689 | 12,104.4 | 194.18 | 0.1909 | 64.2 | 0.97 | ok | 28.9 | 27.3 | 28 | 16 | RSM00027612 | 9.2 | 156 | MOSCOW | 6.3 | 19.8 | -6.3 | 24.9 | -8.8 | 7 | 30 | 708 | 7 | -6.3 | -5.9 | -0.6 | 7 | 13.6 | 17.2 | 19.8 | 17.8 | 12.1 | 5.7 | -0.4 | -4.4 | 53 | 44 | 39 | 37 | 58 | 75 | 81 | 80 | 68 | 71 | 52 | 51 | 1,755.9 | 62.1 | 197 | 0 | 866.9 | 68.437527 | 189.3 | 12.8 | 0.0745 | 0.0747 | 2026-11-03 | 0 | false | 49,395 |
LC548b4f25e583 | 郑州市 | Zhengzhou | 鄭州市 | CN | 河南省 | 34.74725 | 113.61932 | region | 12,600,574 | Esri Community Maps,OpenStreetMap | 7.1 | Q30340 | 548b4f25-e583-4aaf-a68b-9803004693c7 | 111 | 54 | 32.3 | CGO | 1 | 199.7 | HZA | 0 | 467.5 | Hankow | 0 | 311.84 | 3,818,787 | 2,436,421 | 12,246 | 85.48 | 0.2741 | 58.16 | urban_centre | 644.8 | 5,120,287 | 3,129,915 | 7,940.9 | 160.7 | 0.2492 | 58.68 | null | null | null | null | null | null | null | null | no_boundary | 56.7 | 63.6 | null | 2 | CHM00057083 | 4.4 | 111 | ZHENGZHOU | 15.5 | 27.8 | 1.3 | 32.3 | -3.5 | 7 | 27 | 639 | 7 | 1.3 | 4.6 | 10 | 16.4 | 22 | 26.6 | 27.8 | 26.4 | 21.9 | 16.5 | 9.4 | 3.4 | 10 | 14 | 22 | 35 | 55 | 65 | 152 | 137 | 79 | 34 | 27 | 8 | 397 | 14.04 | 207 | 0 | 26.4 | 8.474911 | 136.3 | 0 | 0.0388 | 0.0388 | 2026-11-03 | 0 | false | 79,787 |
LC13c2cd33319a | 武汉市 | Wuhan | 武漢市 | CN | 湖北省 | 30.57889 | 114.29212 | region | 12,450,000 | Esri Community Maps,OpenStreetMap | 7.1 | Q11746 | 13c2cd33-319a-4efe-a6f7-5b93c1c48ec8 | 39 | 37 | 23 | WUH | 1 | 171.3 | YYA | 0 | 1.2 | Hankow | 1 | 311.95 | 5,729,845 | 4,102,850 | 18,367.7 | 74.08 | 0.2375 | 56.09 | urban_centre | 759.36 | 8,044,067 | 5,776,119 | 10,593.3 | 163.42 | 0.2152 | 57.67 | null | null | null | null | null | null | null | null | no_boundary | 39.7 | 39.3 | null | 1 | CHM00057494 | 23.3 | 34 | WUHAN | 17.8 | 29.7 | 4.6 | 33.2 | 0.8 | 7 | 27 | 1,278 | 7 | 4.6 | 7.4 | 11.9 | 18 | 23 | 26.6 | 29.7 | 28.8 | 24.8 | 19 | 12.8 | 6.8 | 51 | 65 | 90 | 136 | 170 | 206 | 248 | 103 | 66 | 60 | 51 | 32 | 420.9 | 14.89 | 216.8 | 0 | 71.5 | 52.208141 | 66.8 | 7.2 | 0.0947 | 0.095 | 2026-11-03 | 0 | false | 85,548 |
LC8156f041d549 | Mumbai | Mumbai | ムンバイ | IN | Maharashtra | 19.055 | 72.8692 | region | 12,442,373 | Esri Community Maps,OpenStreetMap | 7.09 | Q1156 | 8156f041-d549-47a0-b1f2-e4ee1264f87e | 2 | 20 | 3.7 | BOM | 2 | 279.8 | IXU | 0 | 13.3 | Jawaharlal Nehru Port | 2 | 313.27 | 8,127,380 | 7,087,008 | 25,943.4 | 47.52 | 0.1517 | 55.99 | urban_centre | 739.83 | 20,402,936 | 15,975,123 | 27,577.8 | 133.77 | 0.1808 | 57.47 | null | null | null | null | null | null | null | null | no_boundary | 14.7 | 27.7 | null | 5 | IN012070800 | 7.2 | 14 | BOMBAY/SANTACRUZ | 27.5 | 30.2 | 24 | 34.1 | 16.6 | 5 | 26 | 2,453 | 7 | 24 | 24.8 | 27 | 28.6 | 30.2 | 29.4 | 28 | 27.8 | 27.9 | 28.6 | 27.6 | 25.5 | 2 | 0 | 10 | 13 | 6 | 507 | 881 | 506 | 410 | 96 | 7 | 15 | 680.9 | 24.08 | 205.6 | 10.13323 | 55.7 | 228.554009 | 165 | 0 | 0.0347 | 0.0385 | 2026-11-03 | 0 | false | 102,025 |
LC4aeab35097a3 | Chennai Metropolitan Area | null | null | IN | Tamil Nadu | 13.08009 | 80.2808 | null | 12,395,000 | OpenStreetMap | 7.09 | Q955990 | 4aeab350-97a3-4695-aa14-719936526b27 | 4 | 13 | 15.7 | MAA | 1 | 133.7 | PNY | 0 | 3 | Madras | 1 | 313.63 | 4,720,412 | 3,845,053 | 15,050.7 | 63.29 | 0.2018 | 57.8 | urban_centre | 1,058.22 | 11,446,195 | 7,939,263 | 10,816.5 | 221.73 | 0.2095 | 61.09 | null | null | null | null | null | null | null | null | no_boundary | 22.8 | 44.2 | null | 7 | IN020040900 | 13.8 | 16 | MADRAS/MINAMBAKKAM | 29.1 | 33 | 25.4 | 38.6 | 20.7 | 5 | 30 | 1,435 | 11 | 25.4 | 26.7 | 28.9 | 31.1 | 33 | 32.4 | 31 | 30.2 | 29.9 | 28.6 | 26.8 | 25.4 | 20 | 3 | 17 | 20 | 61 | 105 | 104 | 161 | 106 | 247 | 436 | 154 | 555.1 | 19.63 | 142.5 | 21.664615 | 29.8 | 195.987963 | 157.3 | 0.2 | 0.022 | 0.0252 | 2026-11-03 | 0 | false | 110,680 |
LCc20a11eb25cf | 西安市 | Xi'an | 西安市 | CN | 陕西省 | 34.261 | 108.94234 | region | 12,183,280 | Esri Community Maps,OpenStreetMap | 7.09 | Q5826 | c20a11eb-25cf-4676-90de-3da570629a08 | 410 | 22 | 26.1 | XIY | 1 | 203.9 | HZG | 0 | 646.8 | Hankow | 0 | 314.37 | 4,060,581 | 3,263,145 | 12,916.6 | 105.43 | 0.3354 | 58.04 | urban_centre | 807.46 | 5,854,502 | 4,762,394 | 7,250.6 | 230.51 | 0.2855 | 58.64 | null | null | null | null | null | null | null | null | no_boundary | 24.4 | 22.9 | null | 2 | CHM00057036 | 4.4 | 479 | XIAN | 15 | 27.8 | 1 | 32.8 | -3.1 | 7 | 18 | 542 | 7 | 1 | 4.9 | 10.2 | 16.4 | 21.4 | 26.1 | 27.8 | 26 | 21.1 | 14.9 | 8.2 | 2.4 | 7 | 8 | 27 | 36 | 50 | 63 | 96 | 84 | 80 | 62 | 21 | 7 | 523.2 | 18.5 | 244.3 | 0 | 88.8 | 50.792749 | 98.8 | 0 | 0.0724 | 0.0724 | 2026-11-03 | 0 | false | 80,497 |
LCda93f4828f04 | São Paulo | São Paulo | サンパウロ | BR | São Paulo | -23.55065 | -46.63338 | region | 11,451,999 | Esri Community Maps,Maps Entity Variant Names,OpenStreetMap | 7.06 | Q174 | da93f482-8f04-4e8d-aec2-f0884d9c0ed2 | 764 | 63 | 8.8 | CGH | 2 | 86.5 | SJK | 0 | 57.5 | Santos | 0 | 316.42 | 3,682,447 | 3,305,261 | 11,637.8 | 127.04 | 0.4015 | 57.53 | urban_centre | 2,116.12 | 19,479,718 | 17,120,759 | 9,205.4 | 645.51 | 0.305 | 62.35 | 1,529.77 | 12,007,976 | 10,774,114 | 7,849.6 | 362.48 | 0.237 | 66.09 | 1.049 | ok | 11.4 | 13.8 | 11.5 | 24 | BR00E3-0520 | 7.6 | 802 | SAO PAULO (AEROPORT | 21.7 | 24.6 | 18.4 | 29.1 | 13.4 | 2 | 27 | 1,336 | 1 | 24.4 | 24.6 | 24 | 22.5 | 19.6 | 18.9 | 18.4 | 19.6 | 20.2 | 21.6 | 22.4 | 23.9 | 253 | 218 | 193 | 71 | 49 | 46 | 22 | 32 | 97 | 100 | 106 | 149 | 959.1 | 33.92 | 268.9 | 0 | 363.7 | 235.457123 | 102.7 | 0 | 0.0388 | 0.0417 | 2026-11-03 | 0 | false | 163,706 |
LC83fd5cb4dbcd | لاہور | Lahore | ラホール | PK | پنجاب | 31.56568 | 74.31418 | region | 11,126,285 | Esri Community Maps,OpenStreetMap | 7.05 | Q11739 | 83fd5cb4-dbcd-41ef-8d9d-77fca614c04e | 217 | 11 | 9.8 | LHE | 2 | 134.3 | IXJ | 0 | 1,033.1 | Kandla | 0 | 317.51 | 6,746,145 | 4,270,989 | 21,246.9 | 99.47 | 0.3133 | 56.88 | urban_centre | 901.67 | 14,242,438 | 8,028,710 | 15,795.6 | 230.09 | 0.2552 | 57.57 | null | null | null | null | null | null | null | null | no_boundary | 58 | 77.4 | null | 3 | PK000041640 | 2.5 | 215 | LAHORE CITY | 24.8 | 33.4 | 13.1 | 39.1 | 7.5 | 6 | 23 | 810 | 7 | 13.1 | 16.5 | 21.8 | 26.9 | 32.3 | 33.4 | 31.5 | 30.9 | 29.6 | 26 | 20.6 | 15.4 | 26 | 35 | 55 | 38 | 39 | 84 | 224 | 154 | 114 | 12 | 16 | 13 | 905.8 | 32.04 | 214 | 5.020809 | 40.2 | 240.163225 | 47.9 | 0 | 0.0592 | 0.0815 | 2026-11-03 | 0 | false | 84,028 |
LC83d231e2da9e | Bengaluru | Bengaluru | バンガロール | IN | Karnataka | 12.97679 | 77.59008 | region | 10,839,725 | OpenStreetMap | 7.04 | Q1355 | 83d231e2-da9e-4933-bb89-0997d5dd8741 | 919 | 23 | 27.6 | BLR | 1 | 131.2 | MYQ | 0 | 269.6 | Pondicherry | 0 | 312.09 | 9,739,685 | 5,152,219 | 31,207.8 | 117.25 | 0.3757 | 60.46 | urban_centre | 1,016.47 | 15,165,636 | 6,536,136 | 14,920 | 250.17 | 0.2461 | 62.6 | 715.38 | 13,407,871 | 6,106,289 | 18,742.2 | 212.67 | 0.2973 | 61.75 | 1.237 | ok | 89 | 132 | 119.6 | 1 | IN009010100 | 1.3 | 921 | BANGALORE | 24.7 | 28.2 | 21.8 | 34.2 | 16 | 4 | 30 | 1,086 | 9 | 22.4 | 24.4 | 26.8 | 28.2 | 27.5 | 25.2 | 24.3 | 24.1 | 24.4 | 24.2 | 22.9 | 21.8 | 2 | 1 | 12 | 37 | 80 | 100 | 131 | 183 | 269 | 206 | 44 | 20 | 1,039.7 | 36.77 | 218.2 | 0 | 257.5 | 307.094158 | 100.9 | 0 | 0.1076 | 0.1274 | 2026-11-03 | 0 | false | 111,395 |
LCa65fecdda2c9 | Jakarta | Jakarta | ジャカルタ | ID | Daerah Khusus Ibukota Jakarta | -6.1754 | 106.82717 | country | 10,467,629 | Esri Community Maps,OpenStreetMap | 7.02 | Q3630 | a65fecdd-a2c9-463b-b6f2-e94ababdce14 | 6 | 19 | 12.3 | HLP | 2 | 115.5 | BDO | 0 | 10.8 | Tanjung Priok | 1 | 315.85 | 5,781,534 | 4,556,850 | 18,304.6 | 112.71 | 0.3568 | 55.5 | urban_centre | 4,630.18 | 40,463,471 | 25,666,267 | 8,739.1 | 968.87 | 0.2093 | 65.03 | null | null | null | null | null | null | null | null | no_boundary | 26.9 | 57.7 | null | 19 | ID000096745 | 1.1 | 8 | JAKARTA/OBSERVATORY | 28.7 | 29.3 | 27.6 | 33 | 24.6 | 5 | 24 | null | null | 27.8 | 27.6 | 28.5 | 29 | 29.3 | 29.1 | 28.8 | 28.9 | 29.1 | 29.2 | 29 | 28.6 | null | null | null | null | null | null | null | null | null | null | null | null | 860.6 | 30.44 | 206.6 | 0 | 62.4 | 213.042189 | 70.9 | 0 | 0.0425 | 0.043 | 2026-11-03 | 0 | false | 138,813 |
LC902166cd3918 | Lagos | Lagos | ラゴス | NG | Lagos | 6.45506 | 3.39418 | region | 10,404,112 | Esri Community Maps,OpenStreetMap | 7.02 | Q8673 | 902166cd-3918-4b7d-b342-eac736aa984e | 11 | 18 | 15.8 | LOS | 1 | 119.7 | IBA | 0 | 11.5 | Tin Can Island | 1 | 311.42 | 2,841,907 | 1,828,797 | 9,125.8 | 72.11 | 0.2316 | 51.51 | urban_centre | 1,208.67 | 12,835,967 | 7,851,112 | 10,619.9 | 415.48 | 0.3438 | 57.54 | null | null | null | null | null | null | null | null | no_boundary | 55.4 | 63.5 | null | 3 | NIM00065201 | 15.8 | 41.1 | MURTALA MUHAMMED | 27.9 | 29.8 | 26.1 | 34.2 | 23.2 | 3 | 22 | null | null | 28.6 | 29.6 | 29.8 | 29.2 | 28.2 | 26.8 | 26.2 | 26.1 | 26.6 | 27 | 28.3 | 28.3 | null | null | null | null | null | null | null | null | null | null | null | null | 323.2 | 11.43 | 111.5 | 41.020833 | 7.1 | 82.825914 | 22 | 111.5 | 0.0098 | 0.0219 | 2026-11-03 | 0 | false | 120,606 |
LC7ebf10d9714f | 杭州市 | Hangzhou | 杭州市 | CN | 浙江省 | 30.24896 | 120.20523 | region | 10,360,000 | Esri Community Maps,OpenStreetMap | 7.02 | Q4970 | 7ebf10d9-714f-4f60-9740-8d8403e9f27e | 12 | 16 | 21.5 | HGH | 1 | 66.5 | JNH | 0 | 136.5 | Ningbo | 0 | 314.49 | 2,179,637 | 1,881,392 | 6,930.6 | 64.95 | 0.2065 | 59 | urban_centre | 1,573.76 | 6,491,397 | 5,539,748 | 4,124.8 | 337.56 | 0.2145 | 59.84 | null | null | null | null | null | null | null | null | no_boundary | 15.9 | 17.2 | null | 5 | CHM00058457 | 4.1 | 43 | HANGZHOU | 17.9 | 29.7 | 5.4 | 33.9 | 2.1 | 7 | 27 | 1,472 | 6 | 5.4 | 7.4 | 11.4 | 17.3 | 22.3 | 25.5 | 29.7 | 29.2 | 25 | 19.6 | 13.8 | 7.7 | 98 | 86 | 142 | 117 | 127 | 263 | 172 | 161 | 100 | 71 | 74 | 60 | 481.5 | 17.03 | 224.7 | 0 | 79 | 22.020552 | 94.4 | 2.1 | 0.0488 | 0.0488 | 2026-11-03 | 0 | false | 86,280 |
LCa1a09ebb3765 | 重庆市 | Chongqing | 重慶市 | CN | 重庆市 | 29.56567 | 106.54792 | region | 10,343,462 | Esri Community Maps,OpenStreetMap | 7.01 | Q11725 | a1a09ebb-3765-4852-a5b4-3b108d37fb8a | 221 | 79 | 19.1 | CKG | 1 | 111.4 | CQW | 0 | 644.3 | Chang Sha | 0 | 315.16 | 5,704,655 | 3,756,603 | 18,100.7 | 60.75 | 0.1928 | 62.1 | urban_centre | 650.53 | 8,435,348 | 5,530,133 | 12,966.8 | 124.04 | 0.1907 | 62.34 | null | null | null | null | null | null | null | null | no_boundary | 51.9 | 52.5 | null | 1 | CHM00057516 | 8.1 | 416 | CHONGQING | 19.2 | 29.3 | 8.2 | 33.5 | 6 | 7 | 27 | 1,132 | 6 | 8.2 | 10.8 | 14.9 | 19.7 | 23.3 | 25.9 | 29.3 | 29.2 | 25 | 19.2 | 14.8 | 9.7 | 20 | 23 | 48 | 97 | 145 | 209 | 181 | 121 | 117 | 92 | 53 | 25 | 564.6 | 19.97 | 309.6 | 0 | 111.9 | 68.246783 | 124.3 | 6.9 | 0.0774 | 0.0774 | 2026-11-03 | 0 | false | 86,973 |
LCa0238870f2b2 | 石家庄市 | Shijiazhuang | 石家荘市 | CN | 河北省 | 38.04297 | 114.50884 | region | 10,163,788 | Esri Community Maps,OpenStreetMap | 7.01 | Q58401 | a0238870-f2b2-4488-81c8-da22b15a76e3 | 77 | 14 | 31.1 | SJW | 1 | 169 | HDG | 0 | 278 | Tianjin | 0 | 317.82 | 2,685,111 | 2,424,687 | 8,448.5 | 99.9 | 0.3143 | 57.14 | urban_centre | 493.72 | 3,094,915 | 2,786,854 | 6,268.6 | 144.05 | 0.2918 | 57.98 | null | null | null | null | null | null | null | null | no_boundary | 10.7 | 11.1 | null | 1 | CHM00053698 | 8.1 | 81 | SHIJIAZHUANG | 14.6 | 28 | -0.9 | 32.5 | -5.4 | 7 | 30 | 541 | 8 | -0.9 | 2.8 | 9.3 | 16 | 22 | 26.6 | 28 | 26.6 | 22.1 | 15.4 | 7 | 1 | 4 | 6 | 12 | 23 | 40 | 62 | 136 | 153 | 60 | 24 | 18 | 5 | 286.8 | 10.14 | 203.3 | 0 | 18.1 | 31.558536 | 124.9 | 0 | 0.0252 | 0.0252 | 2026-11-03 | 0 | false | 74,749 |
LC6445fcfce074 | 青岛市 | Qingdao | 青島市 | CN | 山东省 | 36.06632 | 120.37777 | null | 10,071,722 | Esri Community Maps,OpenStreetMap | 7 | Q170322 | 6445fcfc-e074-40bc-a460-91eb18a948cc | 13 | 27 | 41.9 | TAO | 1 | 120.2 | RIZ | 0 | 6.4 | Qingdao | 1 | 315.8 | 2,237,292 | 1,801,031 | 7,084.5 | 43.38 | 0.1374 | 51.87 | urban_centre | 585.21 | 3,676,977 | 2,961,933 | 6,283.2 | 147.37 | 0.2518 | 55.55 | null | null | null | null | null | null | null | null | no_boundary | 24.2 | 24.1 | null | 2 | CHM00054857 | 4 | 77 | QINGDAO | 13.6 | 25.8 | 0.6 | 28.5 | -2.5 | 8 | 24 | 782 | 7 | 0.6 | 2.8 | 6.4 | 12 | 17.4 | 21.3 | 25.1 | 25.8 | 22.8 | 16.6 | 9.4 | 3 | 8 | 24 | 19 | 35 | 67 | 98 | 190 | 188 | 48 | 44 | 47 | 15 | 390.7 | 13.82 | 144.5 | 0 | 56.9 | 134.11071 | 47.2 | 0 | 0.0873 | 0.0999 | 2026-11-03 | 0 | false | 77,640 |
LCb31f884b8178 | 서울특별시 | Seoul | ソウル特別市 | KR | 서울특별시 | 37.56668 | 126.97829 | country | 9,635,445 | Esri Community Maps,OpenStreetMap | 6.98 | Q8684 | b31f884b-8178-42bf-8b08-8b79e7cf58c9 | 42 | 50 | 16.5 | GMP | 2 | 87.8 | WJU | 0 | 158.5 | Sokcho | 0 | 316.48 | 5,309,229 | 5,512,759 | 16,776.1 | 83.71 | 0.2645 | 57.85 | urban_centre | 2,278.73 | 22,208,726 | 19,323,075 | 9,746.1 | 467.09 | 0.205 | 59.61 | null | null | null | null | null | null | null | null | no_boundary | -3.7 | 14.9 | null | 21 | KSM00047108 | 1 | 87 | SEOUL CITY | 12.9 | 26.3 | -2.2 | 29.9 | -6.3 | 8 | 26 | null | null | -2.2 | 0.6 | 6 | 12.6 | 18.3 | 23 | 25.5 | 26.3 | 21.8 | 15.1 | 7.4 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | 886.2 | 31.34 | 166.3 | 0 | 293.1 | 251.866301 | 134.2 | 0 | 0.0686 | 0.0688 | 2026-11-03 | 0 | false | 75,493 |
LC692f7508a9bd | 佛山市 | Foshan | 仏山市 | CN | 广东省 | 23.02398 | 113.11596 | county | 9,498,863 | Esri Community Maps,OpenStreetMap | 6.98 | Q34412 | 692f7508-a9bd-4342-aaae-debc3487727f | 17 | 20 | 45 | CAN | 1 | 8 | FUO | 1 | 31 | Guangzhou | 1 | 314.52 | 1,681,093 | 1,751,224 | 5,345 | 87.51 | 0.2782 | 57.31 | urban_centre | 6,694.4 | 44,028,687 | 29,912,936 | 6,576.9 | 1,442.76 | 0.2155 | 59.95 | null | null | null | null | null | null | null | null | no_boundary | -4 | 47.2 | null | 15 | CHM00059287 | 43.2 | 71 | GUANGZHOU | 23.1 | 29.6 | 14.4 | 33.4 | 10.3 | 7 | 27 | 1,917 | 6 | 14.4 | 16 | 18.8 | 23 | 26.6 | 28.4 | 29.6 | 29.4 | 28 | 25.1 | 21 | 16.3 | 58 | 59 | 82 | 191 | 332 | 360 | 228 | 256 | 214 | 69 | 37 | 30 | 551.3 | 19.5 | 314.2 | 0 | 91.3 | 33.794617 | 56.2 | 0 | 0.0785 | 0.0785 | 2026-11-03 | 0 | false | 96,346 |
LC0faababfa789 | 合肥市 | Hefei | 合肥市 | CN | 安徽省 | 31.86657 | 117.28143 | region | 9,369,881 | Esri Community Maps,OpenStreetMap | 6.97 | Q185684 | 0faababf-a789-419b-bfdb-e859800cfb4d | 12 | 19 | 31.7 | HFE | 1 | 144.5 | AQG | 0 | 140.5 | Nanjing | 0 | 313.56 | 4,456,728 | 2,466,169 | 14,213.1 | 77.86 | 0.2483 | 58.96 | urban_centre | 615.63 | 5,643,736 | 3,319,657 | 9,167.4 | 149.41 | 0.2427 | 59.21 | null | null | null | null | null | null | null | null | no_boundary | 80.7 | 70 | null | 11 | CHM00058321 | 4.6 | 36 | HEFEI | 16.8 | 29 | 3.4 | 32.7 | -0.4 | 7 | 30 | 1,036 | 7 | 3.4 | 6 | 10.8 | 16.8 | 22.2 | 25.7 | 29 | 28.2 | 24 | 18.2 | 11.7 | 5.6 | 47 | 49 | 82 | 80 | 88 | 160 | 180 | 139 | 65 | 56 | 52 | 37 | 448.2 | 15.85 | 273.6 | 0 | 53.3 | 76.423029 | 52.3 | 0 | 0.0991 | 0.0991 | 2026-11-03 | 0 | false | 84,114 |
LC19820a35c35d | 南京市 | Nanjing | 南京市 | CN | 江苏省 | 32.04383 | 118.77886 | region | 9,314,685 | Esri Community Maps,OpenStreetMap | 6.97 | Q16666 | 19820a35-c35d-43c4-af44-3a3861eb454d | 18 | 28 | 35.3 | NKG | 1 | 95 | CZX | 0 | 4.9 | Nanjing | 1 | 312.23 | 5,205,601 | 2,873,444 | 16,672.3 | 67.33 | 0.2156 | 59.95 | urban_centre | 1,034.9 | 8,115,998 | 4,549,950 | 7,842.3 | 207.7 | 0.2007 | 60.68 | null | null | null | null | null | null | null | null | no_boundary | 81.2 | 78.4 | null | 3 | CHM00058238 | 16.8 | 15 | NANJING | 16.7 | 28.6 | 3.4 | 32.3 | -0.3 | 7 | 27 | 1,110 | 7 | 3.4 | 6 | 10.3 | 16.4 | 21.8 | 25.3 | 28.6 | 28.2 | 24 | 18.4 | 12 | 5.8 | 50 | 50 | 84 | 80 | 82 | 183 | 227 | 156 | 65 | 49 | 49 | 34 | 422.4 | 14.94 | 144.3 | 0 | 92.1 | 64.988774 | 90.6 | 0 | 0.0975 | 0.1061 | 2026-11-03 | 0 | false | 83,397 |
LC22cb39977e1b | 温州市 | Wenzhou | 温州市 | CN | 浙江省 | 27.99639 | 120.69534 | null | 9,300,000 | Esri Community Maps,OpenStreetMap | 6.97 | Q42635 | 22cb3997-7e1b-4470-bc1e-80da73af1b05 | 5 | 15 | 18.2 | WNZ | 1 | 95.5 | HYN | 0 | 18.6 | Wenzhou | 1 | 315.39 | 1,688,945 | 1,647,108 | 5,355 | 45.77 | 0.1451 | 61.85 | urban_centre | 517.45 | 3,909,172 | 3,384,172 | 7,554.6 | 103.35 | 0.1997 | 59.57 | null | null | null | null | null | null | null | null | no_boundary | 2.5 | 15.5 | null | 4 | CHM00058659 | 3.6 | 7 | WENZHOU | 19 | 28.8 | 9 | 32.4 | 5.3 | 8 | 11 | 1,679 | 6 | 9 | 9.6 | 12.4 | 17.4 | 22 | 25.5 | 28.7 | 28.8 | 25.8 | 21.2 | 16.6 | 11.6 | 68 | 91 | 192 | 153 | 171 | 330 | 144 | 199 | 141 | 76 | 63 | 50 | 416.7 | 14.74 | 225.8 | 0 | 39.7 | 81.157868 | 21.7 | 3.5 | 0.052 | 0.072 | 2026-11-03 | 0 | false | 89,881 |
LC42dd12b7f29f | 潍坊市 | Weifang | イ坊市 | CN | 山东省 | 36.70746 | 119.15582 | county | 9,277,200 | Esri Community Maps,OpenStreetMap | 6.97 | Q217698 | 42dd12b7-f29f-4cc6-b114-d96b4d3a7d34 | 45 | 21 | 91.7 | TAO | 0 | 7.5 | WEF | 1 | 124.2 | Qingdao | 0 | 315.27 | 929,656 | 980,488 | 2,948.8 | 73.13 | 0.232 | 59.02 | urban_centre | 227.88 | 949,822 | 1,017,312 | 4,168.1 | 65.68 | 0.2882 | 57.67 | null | null | null | null | null | null | null | null | no_boundary | -5.2 | -6.6 | null | 2 | CHM00054843 | 7 | 22 | WEIFANG | 13.4 | 26.9 | -1.6 | 31.4 | -6.8 | 7 | 28 | 608 | 8 | -1.6 | 1.3 | 7 | 13.7 | 19.6 | 24.4 | 26.9 | 25.8 | 21.4 | 15.1 | 7.3 | 0.6 | 6 | 13 | 14 | 26 | 45 | 80 | 138 | 158 | 60 | 30 | 25 | 11 | 396 | 14.01 | 249.3 | 0 | 37.1 | 36.603964 | 0 | 0 | 0.0716 | 0.0725 | 2026-11-03 | 0 | false | 76,918 |
LC29e0f9043118 | Ciudad de México | Mexico City | メキシコシティ | MX | Ciudad de México | 19.43263 | -99.13318 | country | 9,209,944 | Esri Community Maps,OpenStreetMap | 6.96 | Q1489 | 29e0f904-3118-4d18-8e23-a70136fcf6d8 | 2,235 | 22 | 6.6 | MEX | 3 | 217.8 | PAZ | 0 | 248.9 | Tuxpan | 0 | 310.93 | 3,665,093 | 4,267,011 | 11,787.4 | 121.05 | 0.3893 | 55.63 | urban_centre | 2,139.71 | 17,611,571 | 17,763,034 | 8,230.8 | 631.91 | 0.2953 | 57.71 | 613.96 | 6,831,467 | 7,903,449 | 11,126.9 | 227.34 | 0.3703 | 57.15 | 0.742 | ok | -14.1 | -0.9 | -13.6 | 20 | MXM00076680 | 6.4 | 2,303 | MEXICO CITY | 18.2 | 20.6 | 15.2 | 27.8 | 7.8 | 5 | 25 | 656 | 7 | 15.2 | 17.2 | 18.6 | 20.3 | 20.6 | 20 | 18.8 | 18.9 | 18.6 | 17.8 | 16.5 | 15.7 | 6 | 2 | 7 | 27 | 55 | 112 | 132 | 126 | 122 | 51 | 12 | 5 | 844.6 | 29.87 | 226.3 | 0 | 170.5 | 340.779139 | 64.9 | 0 | 0.041 | 0.041 | 2026-11-03 | 0 | false | 101,681 |
LCd9179d193588 | 济南市 | Jinan | 済南市 | CN | 山东省 | 36.65198 | 117.11385 | region | 9,202,432 | Esri Community Maps,OpenStreetMap | 6.96 | Q170247 | d9179d19-3588-4c2b-9f8b-1967d4b0bf31 | 120 | 28 | 24.6 | TNA | 1 | 116.6 | JNG | 0 | 263.9 | Tianjin | 0 | 313.43 | 1,581,351 | 1,222,532 | 5,045.3 | 63.08 | 0.2012 | 60.71 | urban_centre | 500.66 | 3,576,206 | 2,735,533 | 7,143 | 136.88 | 0.2734 | 58.75 | null | null | null | null | null | null | null | null | no_boundary | 29.4 | 30.7 | null | 1 | CHM00054823 | 8.1 | 169 | JINAN | 15.2 | 27.8 | 0.2 | 32.1 | -3.8 | 7 | 29 | 739 | 7 | 0.2 | 3.7 | 9.6 | 16.4 | 22.2 | 26.6 | 27.8 | 26.4 | 22.4 | 16.5 | 8.7 | 2.1 | 6 | 12 | 13 | 31 | 72 | 85 | 203 | 190 | 65 | 33 | 22 | 8 | 475.7 | 16.82 | 217.8 | 0 | 88 | 80.800661 | 40.2 | 0 | 0.0828 | 0.0866 | 2026-11-03 | 0 | false | 76,914 |
LC1b7820e0cc2e | 邯郸市 | Handan | 邯鄲市 | CN | 河北省 | 36.61077 | 114.48571 | county | 9,174,679 | Esri Community Maps,OpenStreetMap | 6.96 | Q58570 | 1b7820e0-cc2e-4785-a000-ff106f19b78a | 62 | 12 | 186.6 | SJW | 0 | 11 | HDG | 1 | 373.1 | Tianjin | 0 | 312.91 | 2,124,213 | 1,110,927 | 6,788.6 | 67.41 | 0.2154 | 58.56 | urban_centre | 248.15 | 2,093,147 | 1,101,786 | 8,435.1 | 63.65 | 0.2565 | 58.16 | null | null | null | null | null | null | null | null | no_boundary | 91.2 | 90 | null | 1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 185.2 | 6.55 | 134 | 0 | 1.2 | 26.664599 | 51.9 | 0 | 0.0643 | 0.0673 | 2026-11-03 | 0 | false | 76,908 |
LC265b51498874 | القاهرة | Cairo | カイロ | EG | القاهرة | 30.04439 | 31.23573 | country | 9,120,350 | OpenStreetMap | 6.96 | Q85 | 265b5149-8874-4b1a-bf1f-928bbf3cc346 | 23 | 33 | 17.2 | CAI | 2 | 58.2 | CCE | 0 | 165.9 | Damietta | 0 | 312.91 | 12,573,551 | 7,821,265 | 40,182.1 | 100.48 | 0.3211 | 54.55 | urban_centre | 1,718.64 | 25,399,567 | 16,128,181 | 14,778.8 | 380.88 | 0.2216 | 58.99 | null | null | null | null | null | null | null | null | no_boundary | 60.8 | 57.5 | null | 9 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 916.1 | 32.4 | 211.1 | 25.501143 | 88.9 | 506.607576 | 58.6 | 2.7 | 0.0323 | 0.0458 | 2026-11-03 | 0 | false | 86,102 |
LCe9e63ed1d20a | 沈阳市 | Shenyang | 瀋陽市 | CN | 辽宁省 | 41.80261 | 123.42791 | region | 9,070,093 | Esri Community Maps,OpenStreetMap | 6.96 | Q11720 | e9e63ed1-d20a-4d61-b78a-4d80030e70d9 | 46 | 23 | 18.7 | SHE | 1 | 91.1 | AOG | 0 | 158.4 | Yingkou | 0 | 313.63 | 4,920,129 | 3,842,304 | 15,687.6 | 108.45 | 0.3458 | 53.1 | urban_centre | 761.04 | 6,283,137 | 4,943,810 | 8,255.9 | 225.32 | 0.2961 | 54.28 | null | null | null | null | null | null | null | null | no_boundary | 28.1 | 27.1 | null | 7 | CHM00054342 | 10.7 | 43 | SHENYANG | 8.6 | 24.9 | -11.1 | 29.3 | -17.4 | 7 | 28 | 701 | 7 | -11.1 | -6.2 | 1.4 | 10.4 | 17.4 | 22 | 24.9 | 23.9 | 18.1 | 10 | 0.2 | -8.3 | 6 | 8 | 18 | 38 | 58 | 90 | 176 | 172 | 52 | 44 | 25 | 12 | 396.7 | 14.03 | 220.4 | 0 | 22.6 | 129.799873 | 130.1 | 0 | 0.0414 | 0.0414 | 2026-11-03 | 0 | false | 69,726 |
LC6e1ec48a1500 | 长春市 | Changchun | 長春市 | CN | 吉林省 | 43.88448 | 125.31817 | region | 9,066,906 | Esri Community Maps,OpenStreetMap | 6.96 | Q92161 | 6e1ec48a-1500-492d-a9fb-97ad1052d1f3 | 216 | 26 | 31.9 | CGQ | 1 | 131.3 | YSQ | 0 | 435.8 | Yingkou | 0 | 315.61 | 3,306,926 | 2,905,693 | 10,477.7 | 96.28 | 0.3051 | 54.12 | urban_centre | 412.28 | 3,516,029 | 3,070,093 | 8,528.3 | 126.95 | 0.3079 | 54.41 | null | null | null | null | null | null | null | null | no_boundary | 13.8 | 14.5 | null | 1 | CHM00054161 | 8.3 | 238 | CHANGCHUN | 6.4 | 23.8 | -14.2 | 27.9 | -18.9 | 7 | 27 | 576 | 7 | -14.2 | -9.3 | -1.3 | 8.5 | 16 | 21.3 | 23.8 | 22.4 | 16.6 | 8 | -2.8 | -11.8 | 4 | 5 | 13 | 22 | 53 | 97 | 154 | 128 | 48 | 24 | 18 | 8 | 702.6 | 24.85 | 305.8 | 0 | 80.5 | 85.743146 | 117 | 0 | 0.0796 | 0.0796 | 2026-11-03 | 0 | false | 66,850 |
LCa73e53378a31 | 周口市 | Zhoukou | 周口市 | CN | 河南省 | 33.63063 | 114.64236 | county | 8,953,172 | Esri Community Maps,OpenStreetMap | 6.95 | Q198061 | a73e5337-8a31-4cc2-b702-cabcc0fb4695 | 50 | 16 | 123.5 | CGO | 0 | 131.3 | FUG | 0 | 340.9 | Hankow | 0 | 316 | 911,558 | 680,830 | 2,884.7 | 38.47 | 0.1217 | 64.45 | urban_centre | 104.41 | 780,684 | 561,384 | 7,477.3 | 24.77 | 0.2372 | 59.23 | null | null | null | null | null | null | null | null | no_boundary | 33.9 | 39.1 | null | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 217 | 7.67 | 144.7 | 0 | 16.7 | 34.270744 | 2.2 | 0 | 0.0108 | 0.0108 | 2026-11-03 | 0 | false | 81,229 |
LC44efc2f755a8 | 泉州市 | Quanzhou | 泉州市 | CN | 福建省 | 24.87555 | 118.67236 | county | 8,911,530 | Esri Community Maps,OpenStreetMap | 6.95 | Q68695 | 44efc2f7-55a8-4031-bce9-fd1b4abc34c1 | 16 | 58 | 12.2 | JJN | 1 | 59 | KNH | 0 | 81.1 | Xiamen | 0 | 317.82 | 1,075,987 | 985,831 | 3,385.5 | 39.01 | 0.1227 | 57.38 | urban_centre | 848.18 | 3,452,752 | 3,113,316 | 4,070.8 | 159.9 | 0.1885 | 58.46 | null | null | null | null | null | null | null | null | no_boundary | 9.1 | 10.9 | null | 3 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 232.6 | 8.23 | 113.5 | 0 | 26.6 | 31.832799 | 0 | 0 | 0.0233 | 0.2986 | 2026-11-03 | 0 | false | 94,197 |
LC316096bafc3f | London | London | ロンドン | GB | England | 51.50745 | -0.12777 | country | 8,908,083 | Esri Community Maps,OpenStreetMap | 6.95 | Q84 | 316096ba-fc3f-40a9-9991-5a70f28dddab | 20 | 17 | 23.4 | LHR | 4 | 12.7 | LCY | 1 | 4.2 | London | 1 | 315.31 | 3,678,177 | 2,617,907 | 11,665.2 | 92.94 | 0.2948 | 62.74 | urban_centre | 1,812.15 | 10,799,679 | 8,046,144 | 5,959.6 | 411.49 | 0.2271 | 66.97 | null | null | null | null | null | null | null | null | no_boundary | 40.5 | 34.2 | null | 9 | UKE00105915 | 22 | 137 | HAMPSTEAD | 10.9 | 17.9 | 4.8 | 22.6 | 2.1 | 7 | 26 | 742 | 10 | 4.8 | 5.1 | 7.3 | 9.8 | 12.8 | 15.6 | 17.9 | 17.6 | 15 | 11.5 | 7.8 | 5.2 | 74 | 51 | 45 | 54 | 54 | 58 | 52 | 68 | 62 | 80 | 76 | 69 | 1,646.3 | 58.23 | 190.1 | 0 | 1,000.1 | 205.700139 | 290.1 | 29.1 | 0.118 | 0.1182 | 2026-11-03 | 0 | false | 55,079 |
LC8cbf8c2de049 | 徐州市 | Xuzhou | 徐州市 | CN | 江苏省 | 34.26653 | 117.18104 | null | 8,825,600 | Esri Community Maps,OpenStreetMap | 6.95 | Q57719 | 8cbf8c2d-e049-47da-896e-4fd9d6aa7156 | 30 | 21 | 184.2 | LYG | 0 | 41.4 | XUZ | 1 | 210.9 | Lianyungang | 0 | 317.9 | 1,329,696 | 1,698,403 | 4,182.7 | 69.96 | 0.2201 | 59.6 | urban_centre | 245.55 | 1,296,636 | 1,656,632 | 5,280.4 | 62.69 | 0.2553 | 58.69 | null | null | null | null | null | null | null | null | no_boundary | -21.7 | -21.7 | null | 1 | CHM00058027 | 3.4 | 42 | XUZHOU | 15.5 | 28 | 1.3 | 31.7 | -2.9 | 7 | 27 | 854 | 7 | 1.3 | 4.5 | 9.4 | 15.8 | 21.4 | 25.8 | 28 | 27 | 22.6 | 16.9 | 9.6 | 3.3 | 19 | 22 | 34 | 36 | 64 | 127 | 257 | 143 | 69 | 32 | 33 | 19 | 354.7 | 12.54 | 182.1 | 0 | 59.8 | 67.522679 | 144.7 | 0 | 0.0536 | 0.0536 | 2026-11-03 | 0 | false | 80,514 |
LCb04b3a00ae18 | 菏泽市 | Heze | カ沢市 | CN | 山东省 | 35.24773 | 115.44648 | county | 8,795,939 | Esri Community Maps,OpenStreetMap | 6.94 | Q332753 | b04b3a00-ae18-4367-98d1-4e7a65c54b0d | 56 | 10 | 166.3 | CGO | 0 | 26.6 | HZA | 1 | 365.2 | Lianyungang | 0 | 315.55 | 569,663 | 554,151 | 1,805.3 | 56.39 | 0.1787 | 61.44 | urban_centre | 138.15 | 444,350 | 433,284 | 3,216.5 | 40.86 | 0.2958 | 57.93 | null | null | null | null | null | null | null | null | no_boundary | 2.8 | 2.6 | null | 1 | CHM00054909 | 19.4 | 51 | DINGTAO | 14.7 | 27.4 | 0.1 | 31.6 | -4.6 | 7 | 24 | 675 | 7 | 0.1 | 3.7 | 9.4 | 15.3 | 20.8 | 25.9 | 27.4 | 26.1 | 21.5 | 16.1 | 8.6 | 2 | 8 | 14 | 20 | 29 | 52 | 70 | 176 | 162 | 83 | 29 | 24 | 9 | 222.6 | 7.87 | 172.9 | 0 | 12.4 | 14.209285 | 8.6 | 0 | 0.0982 | 0.0982 | 2026-11-03 | 0 | false | 79,070 |
LCc03d9dd8d3fd | 南宁市 | Nanning | 南寧市 | CN | 广西壮族自治区 | 22.81577 | 108.31802 | region | 8,741,584 | Esri Community Maps,OpenStreetMap | 6.94 | Q179608 | c03d9dd8-d3fd-48b7-acbb-4ce792035b45 | 88 | 33 | 27.9 | NNG | 1 | 171.4 | AEB | 0 | 169.6 | Beihai | 0 | 315.79 | 3,745,161 | 2,201,101 | 11,859.7 | 67.04 | 0.2123 | 60.08 | urban_centre | 276.2 | 3,775,145 | 2,223,233 | 13,667.9 | 64.78 | 0.2345 | 58.96 | null | null | null | null | null | null | null | null | no_boundary | 70.1 | 69.8 | null | 1 | CHM00059431 | 22.8 | 126 | NANNING | 22.5 | 29 | 13.4 | 32.9 | 9.8 | 7 | 27 | 1,264 | 7 | 13.4 | 15.5 | 18.3 | 23.2 | 26.7 | 28.4 | 29 | 28.8 | 27.5 | 24.2 | 20 | 15.2 | 42 | 34 | 69 | 75 | 159 | 221 | 245 | 176 | 112 | 60 | 37 | 33 | 386.5 | 13.67 | 205.2 | 0 | 51.8 | 47.94502 | 97.2 | 4.7 | 0.0803 | 0.0803 | 2026-11-03 | 0 | false | 97,056 |
LC9fcaa194a11f | Hà Nội | Hanoi | ハノイ | VN | Thành phố Hà Nội | 21.02833 | 105.85404 | country | 8,685,607 | Esri Community Maps,OpenStreetMap | 6.94 | Q1858 | 9fcaa194-a11f-4a3d-9967-294dbc47c0fa | 19 | 23 | 22 | HAN | 1 | 162.3 | VDO | 0 | 87.1 | Hai Phong | 0 | 313.37 | 3,074,692 | 2,205,440 | 9,811.8 | 73.19 | 0.2336 | 60.79 | urban_centre | 1,070.74 | 5,367,216 | 3,887,556 | 5,012.6 | 180.7 | 0.1688 | 63.64 | null | null | null | null | null | null | null | null | no_boundary | 39.4 | 38.1 | null | 22 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 868.2 | 30.71 | 162.5 | 0 | 264.9 | 165.279322 | 25 | 0 | 0.0505 | 0.0522 | 2026-11-03 | 0 | false | 99,211 |
LCa4c73b33ce85 | New York | New York | ニューヨーク | US | New York | 40.71273 | -74.00602 | null | 8,467,513 | Esri Community Maps,OpenStreetMap | 6.93 | Q60 | a4c73b33-ce85-45ac-99e5-44abe35b6732 | 13 | 9 | 13.3 | LGA | 3 | 16 | TEB | 2 | 3.1 | New York | 3 | 311.1 | 3,511,649 | 3,327,762 | 11,287.8 | 76.82 | 0.2469 | 51.69 | urban_centre | 3,020.34 | 14,160,110 | 13,387,594 | 4,688.3 | 685.66 | 0.227 | 61.86 | 1,217.31 | 8,450,328 | 8,059,689 | 6,941.8 | 212.56 | 0.1746 | 55.95 | 0.998 | ok | 5.5 | 5.8 | 4.8 | 16 | USW00094728 | 8 | 42.7 | NY CITY CNTRL PARK | 13.1 | 25.2 | 0.8 | 29.5 | -2.6 | 7 | 30 | 1,258 | 7 | 0.8 | 2 | 6 | 12 | 17.2 | 22.2 | 25.2 | 24.4 | 20.6 | 14.4 | 8.8 | 3.8 | 92 | 81 | 109 | 104 | 101 | 115 | 117 | 116 | 110 | 111 | 91 | 111 | 1,108.3 | 39.2 | 160.3 | 43.136885 | 711.5 | 166.319315 | 178.6 | 106.5 | 0.099 | 0.1071 | 2026-11-03 | 0 | false | 70,771 |
LC266a4c5792b1 | 济宁市 | Jining | 済寧市 | CN | 山东省 | 35.4125 | 116.58493 | county | 8,357,897 | Esri Community Maps,OpenStreetMap | 6.92 | Q372791 | 266a4c57-92b1-4922-ac3b-37fbcccace8c | 44 | 6 | 170.3 | TNA | 0 | 29.8 | JNG | 1 | 267.4 | Lianyungang | 0 | 312.81 | 936,514 | 841,481 | 2,993.9 | 48.51 | 0.1551 | 60.92 | urban_centre | 129.45 | 833,729 | 751,972 | 6,440.5 | 33.98 | 0.2625 | 58.74 | null | null | null | null | null | null | null | null | no_boundary | 11.3 | 10.9 | null | 5 | CHM00054916 | 29.5 | 53 | YANZHOU | 14.4 | 27.5 | -0.2 | 32 | -5.6 | 7 | 30 | 712 | 7 | -0.2 | 3.1 | 8.7 | 15 | 20.4 | 25.4 | 27.5 | 26.3 | 21.7 | 15.4 | 7.8 | 1.5 | 7 | 12 | 18 | 35 | 51 | 86 | 184 | 176 | 72 | 31 | 28 | 10 | 223.1 | 7.89 | 172.2 | 0 | 12 | 24.389823 | 30.2 | 0 | 0.0306 | 0.0306 | 2026-11-03 | 0 | false | 79,073 |
LCb812e4927dce | 福州市 | Fuzhou | 福州市 | CN | 福建省 | 26.0775 | 119.29182 | region | 8,291,268 | Esri Community Maps,OpenStreetMap | 6.92 | Q68481 | b812e492-7dce-487b-a4c0-1e48ad161696 | 16 | 64 | 41.5 | FOC | 1 | 67.2 | LZN | 0 | 3.4 | Fuzhou | 1 | 313.89 | 2,777,773 | 2,444,857 | 8,849.6 | 52.83 | 0.1683 | 63.63 | urban_centre | 252.22 | 2,867,644 | 2,516,967 | 11,369.5 | 54.42 | 0.2157 | 61.13 | null | null | null | null | null | null | null | null | no_boundary | 13.6 | 13.9 | null | 5 | CHM00058847 | 1.1 | 14 | FUZHOU | 21.2 | 30.3 | 12 | 34.7 | 8.5 | 7 | 27 | 1,413 | 6 | 12 | 12.8 | 15.2 | 19.6 | 23.8 | 27.4 | 30.3 | 29.8 | 27.4 | 23.2 | 19.2 | 14.3 | 56 | 84 | 134 | 136 | 199 | 220 | 145 | 177 | 124 | 50 | 48 | 41 | 386.3 | 13.66 | 250 | 0 | 55.4 | 56.028306 | 47 | 0 | 0.087 | 0.087 | 2026-11-03 | 0 | false | 92,038 |
LC5adfdb31461c | 东莞市 | Dongguan | 東莞市 | CN | 广东省 | 23.01836 | 113.74523 | null | 8,254,100 | Esri Community Maps,OpenStreetMap | 6.92 | Q59218 | 5adfdb31-461c-4700-bcc8-9961f76382f6 | 7 | 20 | 42.5 | SZX | 1 | 69.4 | FUO | 0 | 35.4 | Guangzhou | 2 | 313.74 | 1,890,999 | 1,524,952 | 6,027.3 | 69.61 | 0.2219 | 60.53 | urban_centre | 6,694.4 | 44,028,687 | 29,912,936 | 6,576.9 | 1,442.76 | 0.2155 | 59.95 | null | null | null | null | null | null | null | null | no_boundary | 24 | 47.2 | null | 15 | CHM00059287 | 34.7 | 71 | GUANGZHOU | 23.1 | 29.6 | 14.4 | 33.4 | 10.3 | 7 | 27 | 1,917 | 6 | 14.4 | 16 | 18.8 | 23 | 26.6 | 28.4 | 29.6 | 29.4 | 28 | 25.1 | 21 | 16.3 | 58 | 59 | 82 | 191 | 332 | 360 | 228 | 256 | 214 | 69 | 37 | 30 | 385 | 13.62 | 209.3 | 0 | 47.1 | 76.569234 | 32.2 | 0 | 0.1213 | 0.1213 | 2026-11-03 | 0 | false | 96,347 |
LCe169e508dbdf | 阜阳市 | Fuyang | 阜陽市 | CN | 安徽省 | 32.89268 | 115.809 | county | 8,200,264 | Esri Community Maps,OpenStreetMap | 6.91 | Q360584 | e169e508-dbdf-46f0-b572-f4b7c58d5f12 | 32 | 8 | 148.8 | HFE | 0 | 7.1 | FUG | 1 | 290.3 | Nanjing | 0 | 315.79 | 1,114,528 | 883,369 | 3,529.3 | 61.35 | 0.1943 | 62.88 | urban_centre | 199.01 | 1,019,136 | 804,082 | 5,120.9 | 48.6 | 0.2442 | 60.89 | null | null | null | null | null | null | null | null | no_boundary | 26.2 | 26.7 | null | 3 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 341.6 | 12.08 | 180.9 | 0 | 26.8 | 54.343164 | 0 | 0 | 0.0819 | 0.0822 | 2026-11-03 | 0 | false | 82,671 |
LCb50afe1f5fa4 | Bogotá | Bogota | ボゴタ | CO | Bogotá, Distrito Capital | 4.65338 | -74.08363 | country | 8,181,047 | Esri Community Maps,OpenStreetMap | 6.91 | Q2841 | b50afe1f-5fa4-4c6e-95d7-80cca86a834e | 2,555 | 11 | 8.8 | BOG | 1 | 75 | VVC | 0 | 340.3 | Buenaventura | 0 | 312.37 | 6,080,893 | 3,988,712 | 19,467 | 85.25 | 0.2729 | 63.23 | urban_centre | 532.31 | 10,349,461 | 6,400,168 | 19,442.5 | 150.36 | 0.2825 | 62.36 | null | null | null | null | null | null | null | null | no_boundary | 52.5 | 61.7 | null | 19 | CO000080222 | 9.1 | 2,548 | BOGOTA/ELDORADO | 14.1 | 14.8 | 13.5 | 20.7 | 6.5 | 4 | 28 | 821 | 11 | 13.5 | 14.2 | 14.4 | 14.8 | 14.8 | 14.3 | 13.8 | 13.8 | 13.8 | 14 | 14.2 | 13.8 | 20 | 52 | 77 | 100 | 93 | 62 | 47 | 44 | 74 | 94 | 105 | 53 | 1,136.9 | 40.21 | 244.6 | 0 | 447.1 | 281.911192 | 22 | 0 | 0.1273 | 0.1308 | 2026-11-03 | 0 | false | 122,611 |
LCd6d6d79d6d48 | Bogotá ciudad | null | null | CO | Bogotá, Distrito Capital | 4.65338 | -74.08363 | null | 8,181,047 | Maps Entity Variant Names,OpenStreetMap | 6.91 | Q268264 | d6d6d79d-6d48-4dda-a0a4-05405261ad49 | 2,555 | 11 | 8.8 | BOG | 1 | 75 | VVC | 0 | 340.3 | Buenaventura | 0 | 312.37 | 6,080,893 | 3,988,712 | 19,467 | 85.25 | 0.2729 | 63.23 | urban_centre | 532.31 | 10,349,461 | 6,400,168 | 19,442.5 | 150.36 | 0.2825 | 62.36 | 395.38 | 9,148,292 | 5,890,810 | 23,137.9 | 124.76 | 0.3155 | 60.87 | 1.118 | ok | 52.5 | 61.7 | 55.3 | 19 | CO000080222 | 9.1 | 2,548 | BOGOTA/ELDORADO | 14.1 | 14.8 | 13.5 | 20.7 | 6.5 | 4 | 28 | 821 | 11 | 13.5 | 14.2 | 14.4 | 14.8 | 14.8 | 14.3 | 13.8 | 13.8 | 13.8 | 14 | 14.2 | 13.8 | 20 | 52 | 77 | 100 | 93 | 62 | 47 | 44 | 74 | 94 | 105 | 53 | 1,136.9 | 40.21 | 244.6 | 0 | 447.1 | 281.911192 | 22 | 0 | 0.1273 | 0.1308 | 2026-11-03 | 0 | false | 122,611 |
LC2be1ba1853cd | شهر تهران | Tehran | テヘラン | IR | استان تهران | 35.68925 | 51.3896 | country | 8,000,000 | Esri Community Maps,OpenStreetMap | 6.9 | Q3616 | 2be1ba18-53cd-4f5d-b07b-abe30bfd1fa8 | 1,170 | 29 | 6.8 | THR | 2 | 108.6 | NSH | 0 | 656.3 | Khorramshahr | 0 | 315.91 | 4,936,615 | 3,599,403 | 15,626.5 | 110.18 | 0.3488 | 54.19 | urban_centre | 811.15 | 9,312,153 | 6,421,589 | 11,480.2 | 236.31 | 0.2913 | 54.48 | 628.83 | 7,628,181 | 5,363,319 | 12,130.7 | 194.56 | 0.3094 | 54.73 | 0.954 | ok | 37.2 | 45 | 42.2 | 5 | IR000407540 | 6.6 | 1,191 | TEHRAN-MEHRABAD | 18.3 | 31.2 | 4.9 | 37.2 | 0.9 | 7 | 27 | 238 | 3 | 4.9 | 7 | 12.1 | 17.6 | 23.3 | 28.6 | 31.2 | 30 | 26.3 | 19.9 | 11.8 | 6.6 | 29 | 34 | 37 | 36 | 11 | 10 | 7 | 5 | 1 | 13 | 31 | 24 | 871.3 | 30.82 | 228.9 | 0 | 98.8 | 407.544496 | 36.7 | 0 | 0.0413 | 0.0413 | 2026-11-03 | 0 | false | 78,222 |
LCa28a4da35cdd | 南通市 | Nantong | 南通市 | CN | 江苏省 | 31.98279 | 120.89046 | county | 7,726,635 | Esri Community Maps,OpenStreetMap | 6.89 | Q57947 | a28a4da3-5cdd-41e0-b53c-88a087b2bde7 | 3 | 8 | 69.4 | WUX | 0 | 13.2 | NTG | 1 | 63.4 | Jiangyin | 0 | 316.08 | 1,531,761 | 1,007,484 | 4,846.1 | 57.22 | 0.181 | 58.54 | urban_centre | 643.54 | 2,591,644 | 1,779,671 | 4,027.2 | 137.5 | 0.2137 | 61.07 | null | null | null | null | null | null | null | null | no_boundary | 52 | 45.6 | null | 1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 368.9 | 13.05 | 245.2 | 0 | 38.4 | 35.258286 | 20.1 | 0 | 0.0978 | 0.0978 | 2026-11-03 | 0 | false | 84,121 |
LC869aa16f2a1c | 唐山市 | Tangshan | 唐山市 | CN | 河北省 | 39.6296 | 118.17387 | county | 7,717,983 | Esri Community Maps,OpenStreetMap | 6.89 | Q58422 | 869aa16f-2a1c-490c-8a7b-7bb193959361 | 30 | 8 | 90.7 | TSN | 0 | 76.1 | BPE | 0 | 92.5 | Tianjin | 0 | 314.12 | 2,188,353 | 1,186,245 | 6,966.6 | 70.96 | 0.2259 | 57.99 | urban_centre | 458.17 | 2,695,279 | 1,619,894 | 5,882.7 | 109.78 | 0.2396 | 57.58 | null | null | null | null | null | null | null | null | no_boundary | 84.5 | 66.4 | null | 1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 731.6 | 25.88 | 180.2 | 0 | 171.2 | 83.711818 | 51.1 | 0 | 0.1648 | 0.1664 | 2026-11-03 | 0 | false | 72,596 |
LCcde4e3868c82 | 宁波市 | Ningbo | 寧波市 | CN | 浙江省 | 29.87196 | 121.54996 | null | 7,605,689 | Esri Community Maps,OpenStreetMap | 6.88 | Q42780 | cde4e386-8c82-431b-a057-1f00c5e4bf29 | 8 | 56 | 9.9 | NGB | 1 | 125.3 | JNH | 0 | 0.7 | Ningbo | 1 | 310.48 | 2,204,165 | 1,355,413 | 7,099.2 | 66.54 | 0.2143 | 58.73 | urban_centre | 513.7 | 2,931,331 | 1,848,856 | 5,706.3 | 107.75 | 0.2098 | 58.87 | null | null | null | null | null | null | null | null | no_boundary | 62.6 | 58.5 | null | 1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 571.9 | 20.23 | 254.8 | 0 | 104.8 | 96.272912 | 99 | 0 | 0.0646 | 0.0646 | 2026-11-03 | 0 | false | 87,003 |
LC0a245a53ab6c | Abidjan | Abidjan | アビジャン | CI | Abidjan | 5.32036 | -4.01611 | region | 7,567,409 | Esri Community Maps,OpenStreetMap | 6.88 | Q1515 | 0a245a53-ab6c-4e15-a9b7-a256f09129e3 | 34 | 43 | 11.9 | ABJ | 1 | 252.7 | TKD | 0 | 4.2 | Abidjan | 2 | 312.91 | 3,682,988 | 2,008,969 | 11,770.3 | 78.94 | 0.2523 | 55.4 | urban_centre | 508.66 | 6,423,004 | 3,344,586 | 12,627.2 | 141.52 | 0.2782 | 56.52 | null | null | null | null | null | null | null | null | no_boundary | 83.3 | 92 | null | 5 | IVM00065578 | 12 | 6.4 | ABIDJAN FELIX HOUPHOUET BOIGN | 27.6 | 29 | 25.2 | 32.5 | 22.6 | 2 | 28 | null | null | 28 | 29 | 29 | 28.7 | 28.4 | 27.1 | 26 | 25.2 | 26.2 | 27.3 | 28.2 | 28.3 | null | null | null | null | null | null | null | null | null | null | null | null | 408.5 | 14.45 | 115.9 | 6.740193 | 23.7 | 170.815842 | 45.3 | 20.8 | 0.0092 | 0.0107 | 2026-11-03 | 0 | false | 122,031 |
LC7f99b5444e68 | 香港 Hong Kong | Hong Kong | 香港 | HK | 中西區 Central and Western District | 22.28183 | 114.15828 | dependency | 7,534,200 | Esri Community Maps,OpenStreetMap | 6.88 | Q8646 | 7f99b544-4e68-4574-98d8-ca4de48a0607 | 29 | 131 | 25.3 | HKG | 1 | 96.7 | HUZ | 0 | 4.4 | Hong Kong | 2 | 313.84 | 3,905,773 | 3,561,694 | 12,445.3 | 25.41 | 0.081 | 62.09 | urban_centre | 220.82 | 4,792,257 | 4,343,579 | 21,701.7 | 28.75 | 0.1302 | 62.58 | null | null | null | null | null | null | null | null | no_boundary | 9.7 | 10.3 | null | 1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 863.3 | 30.53 | 189.5 | 4.585366 | 484.9 | 37.411566 | 91.9 | 67.6 | 0.0391 | 0.5507 | 2026-11-03 | 0 | false | 97,788 |
LCc3e410e177ca | 无锡市 | Wuxi | 無錫市 | CN | 江苏省 | 31.57766 | 120.29528 | null | 7,462,135 | Esri Community Maps,OpenStreetMap | 6.87 | Q42651 | c3e410e1-77ca-474e-b5eb-772a3c953b8c | 24 | 21 | 15.6 | WUX | 1 | 62.2 | CZX | 0 | 40 | Jiangyin | 1 | 313.81 | 2,053,902 | 1,673,663 | 6,545 | 79.41 | 0.2531 | 60.52 | urban_centre | 1,808.09 | 11,504,659 | 6,365,377 | 6,362.9 | 400.23 | 0.2214 | 60.34 | null | null | null | null | null | null | null | null | no_boundary | 22.7 | 80.7 | null | 4 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 453.7 | 16.05 | 223.3 | 0 | 77.6 | 84.756766 | 81 | 8.2 | 0.0523 | 0.0523 | 2026-11-03 | 0 | false | 84,120 |
LCb0e81e7a72bf | 大连市 | Dalian | 大連市 | CN | 辽宁省 | 38.91305 | 121.6098 | county | 7,450,785 | Esri Community Maps,OpenStreetMap | 6.87 | Q74881 | b0e81e7a-72bf-4df2-8494-16566d565a5d | 31 | 27 | 8.5 | DLC | 1 | 192.2 | YKH | 0 | 4.2 | Dalian | 1 | 314.01 | 2,219,991 | 1,786,125 | 7,069.8 | 53.68 | 0.171 | 54.47 | urban_centre | 507.84 | 3,585,281 | 2,908,144 | 7,059.9 | 120.22 | 0.2367 | 54.54 | null | null | null | null | null | null | null | null | no_boundary | 24.3 | 23.3 | null | 1 | CHM00054662 | 2.5 | 97 | DALIAN | 11.8 | 25 | -3.1 | 27.7 | -6.3 | 8 | 27 | 641 | 8 | -3.1 | -0.6 | 4.4 | 11.1 | 17 | 21.2 | 24.4 | 25 | 21.2 | 14.5 | 6.3 | -0.4 | 5 | 7 | 13 | 36 | 58 | 82 | 140 | 164 | 62 | 40 | 24 | 10 | 509.1 | 18.01 | 224.9 | 0 | 49.7 | 74.209077 | 106.8 | 0 | 0.028 | 0.0287 | 2026-11-03 | 0 | false | 74,043 |
LCe4d136a2f27c | 盐城市 | Yancheng | 塩城市 | CN | 江苏省 | 33.34956 | 120.1577 | county | 7,260,240 | Esri Community Maps,OpenStreetMap | 6.86 | Q57866 | e4d136a2-f27c-4234-9aea-b382ca4b86b3 | 3 | 6 | 9.8 | YNZ | 1 | 96.5 | YTY | 0 | 157.7 | Jiangyin | 0 | 314.15 | 1,192,233 | 875,012 | 3,795.1 | 60.48 | 0.1925 | 62.41 | urban_centre | 221.56 | 1,207,640 | 894,006 | 5,450.5 | 52.45 | 0.2367 | 61.01 | null | null | null | null | null | null | null | null | no_boundary | 36.3 | 35.1 | null | 1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 275.1 | 9.73 | 240.9 | 0 | 0.6 | 8.730244 | 0 | 0 | 0.0595 | 0.0595 | 2026-11-03 | 0 | false | 81,960 |
LC4508455db4f2 | 玉林市 | Yulin | 玉林市 | CN | 广西壮族自治区 | 22.63479 | 110.15349 | county | 7,241,900 | Esri Community Maps,OpenStreetMap | 6.86 | Q571918 | 4508455d-b4f2-46a0-8e04-f577b9863e46 | 88 | 16 | 135.9 | ZHA | 0 | 22.7 | YLX | 1 | 165 | Zhanjiang | 0 | 316.21 | 683,293 | 599,472 | 2,160.9 | 39.42 | 0.1247 | 67.05 | urban_centre | 122.04 | 558,807 | 494,757 | 4,578.7 | 25.83 | 0.2116 | 62.73 | null | null | null | null | null | null | null | null | no_boundary | 14 | 12.9 | null | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 323.2 | 11.43 | 156 | 0 | 5 | 61.781012 | 4.7 | 0 | 0.0236 | 0.0236 | 2026-11-03 | 0 | false | 97,060 |
LC5b90fd0c9268 | بغداد | Baghdad | バグダード | IQ | محافظة بغداد | 33.30617 | 44.38722 | country | 7,216,040 | OpenStreetMap | 6.86 | Q1530 | 5b90fd0c-9268-4752-90f3-b77f9c82a0f1 | 37 | 14 | 15 | BGW | 1 | 264.7 | ISU | 0 | 480.3 | Khorramshahr | 0 | 312.87 | 3,825,251 | 2,534,517 | 12,226.1 | 96.87 | 0.3096 | 52.44 | urban_centre | 696.6 | 6,886,723 | 4,400,397 | 9,886.2 | 191.53 | 0.275 | 52.81 | 865.94 | 6,524,247 | 4,102,886 | 7,534.3 | 187.01 | 0.216 | 53.65 | 0.904 | ok | 50.9 | 56.5 | 59 | 1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 581.8 | 20.58 | 166.9 | 21.888671 | 64.9 | 158.068581 | 34.5 | 55.3 | 0.1291 | 0.1291 | 2026-11-03 | 0 | false | 81,808 |
LC44dd3a2498b3 | 沧州市 | Cangzhou | 滄州市 | CN | 河北省 | 38.30428 | 116.85116 | county | 7,134,053 | Esri Community Maps,OpenStreetMap | 6.85 | Q58695 | 44dd3a24-98b3-4d19-8597-357b7cbe087a | 9 | 23 | 100.8 | TSN | 0 | 192.1 | DOY | 0 | 94.4 | Tianjin | 0 | 311.97 | 727,137 | 609,307 | 2,330.8 | 52.59 | 0.1686 | 58.12 | urban_centre | 157 | 635,195 | 527,820 | 4,045.7 | 38.65 | 0.2461 | 56.49 | null | null | null | null | null | null | null | null | no_boundary | 19.3 | 20.3 | null | 2 | CHM00054618 | 36 | 13 | POTOU | 14 | 27.8 | -2.1 | 32.3 | -6.9 | 7 | 23 | 524 | 7 | -2.1 | 1.7 | 8.3 | 15.2 | 21.4 | 26.2 | 27.8 | 26.2 | 21.9 | 15.3 | 6.6 | -0.1 | 3 | 8 | 8 | 23 | 34 | 75 | 158 | 121 | 46 | 35 | 11 | 3 | 216.6 | 7.66 | 141.6 | 0 | 0.6 | 2.473543 | 40 | 0 | 0.0532 | 0.0532 | 2026-11-03 | 0 | false | 74,753 |
End of preview. Expand in Data Studio
World Cities Compared — 6,902 cities, 104 measured columns
One row per city with a reported population of 100,000 or more (176 countries).
Every number is either measured (satellite grids, station records, mapped roads) or reported (the population tag),
and every column carries its source, licence and retrieval date (columns.csv, sources.csv).
Nothing is filled with a model: if no station was within 50 km, the climate columns are empty.
Built by Lilambd Crossing on 2026-11-03. Refreshed monthly (Overture releases, airport list).
Why three city sizes
"How big is Tokyo?" has three honest answers, so every city gets three comparable footprints:
| prefix | footprint | good for |
|---|---|---|
admin_ |
the administrative polygon as drawn in OpenStreetMap/Overture (41% of cities) | matching official statistics |
agglo_ |
the continuous built-up agglomeration from GHSL's Degree of Urbanisation (99%) | comparing metros across countries |
r10_ / r3_ |
a fixed 10 km / 3 km disc around the city point (100%) | like-for-like density, road and park comparisons |
Coverage
- Population, coordinates, elevation, airports, ports, 10 km GHSL metrics, 3 km roads and parks: 100%
- Agglomeration metrics: 99%; administrative-polygon metrics: 41%
- Climate normals 1991–2020 from NOAA GHCN-Daily stations ≤50 km: temperature 56%, precipitation 42%
Quick checks against official figures
| city | this dataset | official normal (1991–2020) |
|---|---|---|
| Tokyo | 16.6 °C, 1,628 mm | JMA 15.8 °C, 1,598 mm |
| Osaka | 17.3 °C, 1,414 mm | JMA 17.1 °C, 1,338 mm |
Known limits (read before use)
population_reportedis whatever OSM/Overture carries: definitions and years differ (Chinese prefecture-level cities include rural counties; some rows are metro figures). Useagglo_pop_2025orr10_pop_2025for like-for-like comparison.- GHS-POP is a modelled grid; it is known to be off for some places (e.g. Shizuoka, Japan ~−29% vs census).
- Some OSM administrative polygons are wrong or partial;
admin_boundary_flag = suspectmarks 85 such rows. - Areas include inland and coastal water inside the footprint.
- Road, rail and park lengths/areas reflect what volunteers have mapped; mapping depth varies by country (footpaths especially).
r3_rail_kmcounts every mapped track, including metro and tram, so busy hubs score high.- Ports come from Natural Earth (1,081 major ports only); river ports are often missing.
- Sister cities are not included in this release.
Files
world_cities.parquet/world_cities.csv— the tablecolumns.csv— every column: description, source, licence, retrieval date, fill ratesources.csv— the sourcescities_backbone.csv— the 12-column id/name/coordinate spine (shared keycity_id)
Columns
| column | meaning | source | filled |
|---|---|---|---|
city_id |
Stable Lilambd id: "LC" + first 12 hex chars of the Overture id | CALC | 100% |
name |
Primary local name | OV | 100% |
name_en |
English name (if in Overture) | OV | 73% |
name_ja |
Japanese name (if in Overture) | OV | 59% |
country_iso2 |
ISO 3166-1 alpha-2 | OV | 100% |
admin1 |
First-level region name | OV | 100% |
lat |
Latitude of the place point | OV | 100% |
lon |
Longitude | OV | 100% |
capital_of |
Highest division this place is the capital of (country/region/county/localadmin) | OV | 60% |
population_reported |
Population as tagged in OSM/Overture (date and definition vary by city; NOT harmonised) | OV | 100% |
population_reported_source |
Dataset that supplied the population tag | OV | 100% |
log10_population |
log10 of population_reported | CALC | 100% |
wikidata |
Wikidata QID | OV | 97% |
overture_id |
Overture division id (release 2026-10-21.0) | OV | 100% |
elevation_m |
Ground elevation at the point (m) | ELEV | 100% |
relief_1km_m |
Max-min elevation within ~±0.5 km of the point (m) | ELEV | 100% |
nearest_large_airport_km |
Great-circle km to nearest large airport with scheduled service | OA | 100% |
nearest_large_airport_iata |
Its IATA code | OA | 100% |
large_airports_within_50km |
Count within 50 km | OA | 100% |
nearest_medium_airport_km |
Great-circle km to nearest medium airport with scheduled service | OA | 100% |
nearest_medium_airport_iata |
Its IATA code | OA | 100% |
medium_airports_within_50km |
Count within 50 km | OA | 100% |
nearest_port_km |
Great-circle km to nearest Natural Earth port (1,081 major ports only) | NEP | 100% |
nearest_port_name |
Natural Earth port name | NEP | 100% |
ports_within_50km |
Count within 50 km | NEP | 100% |
r10_area_km2 |
land+water area (km2) — 10 km radius disc | CALC | 100% |
r10_pop_2025 |
GHS-POP 2025 sum — 10 km radius disc | GPOP | 100% |
r10_pop_2000 |
GHS-POP 2000 sum — 10 km radius disc | GPOP | 100% |
r10_density_per_km2 |
pop_2025 / area — 10 km radius disc | GPOP | 100% |
r10_built_km2 |
built-up surface (km2) — 10 km radius disc | GBLT | 100% |
r10_built_share |
built_km2 / area — 10 km radius disc | GBLT | 100% |
r10_built_greenness_mean |
mean built-greenness index (0-100 scale as published) — 10 km radius disc | GGRN | 100% |
agglo_type |
urban_centre (SMOD class 30 cluster) / urban_cluster (SMOD>=21) / rural_or_none | GSMOD | 100% |
agglo_area_km2 |
land+water area (km2) — GHSL agglomeration containing the point | CALC | 99% |
agglo_pop_2025 |
GHS-POP 2025 sum — GHSL agglomeration containing the point | GPOP | 99% |
agglo_pop_2000 |
GHS-POP 2000 sum — GHSL agglomeration containing the point | GPOP | 99% |
agglo_density_per_km2 |
pop_2025 / area — GHSL agglomeration containing the point | GPOP | 99% |
agglo_built_km2 |
built-up surface (km2) — GHSL agglomeration containing the point | GBLT | 99% |
agglo_built_share |
built_km2 / area — GHSL agglomeration containing the point | GBLT | 99% |
agglo_built_greenness_mean |
mean built-greenness index (0-100 scale as published) — GHSL agglomeration containing the point | GGRN | 99% |
admin_area_km2 |
land+water area (km2) — Overture administrative polygon | CALC | 41% |
admin_pop_2025 |
GHS-POP 2025 sum — Overture administrative polygon | GPOP | 41% |
admin_pop_2000 |
GHS-POP 2000 sum — Overture administrative polygon | GPOP | 41% |
admin_density_per_km2 |
pop_2025 / area — Overture administrative polygon | GPOP | 41% |
admin_built_km2 |
built-up surface (km2) — Overture administrative polygon | GBLT | 41% |
admin_built_share |
built_km2 / area — Overture administrative polygon | GBLT | 41% |
admin_built_greenness_mean |
mean built-greenness index (0-100 scale as published) — Overture administrative polygon | GGRN | 41% |
admin_pop_ratio |
admin_pop_2025 / population_reported | GPOP | 41% |
admin_boundary_flag |
ok / suspect (GHSL pop in polygon <0.25x or >4x the tagged population) / no_boundary | CALC | 100% |
r10_pop_growth_2000_2025_pct |
GHS-POP change 2000->2025 (%) — 10 km radius disc | GPOP | 100% |
agglo_pop_growth_2000_2025_pct |
GHS-POP change 2000->2025 (%) — GHSL agglomeration containing the point | GPOP | 99% |
admin_pop_growth_2000_2025_pct |
GHS-POP change 2000->2025 (%) — Overture administrative polygon | GPOP | 41% |
agglo_shared_by_n_cities |
How many cities in this table sit in the same agglomeration | GSMOD | 99% |
clim_station_id |
GHCN-Daily station used (nearest within 50 km with complete monthly TMAX/TMIN) | GHCN | 56% |
clim_station_km |
Distance city point -> station | GHCN | 56% |
clim_station_elev_m |
Station elevation | GHCN | 56% |
clim_station_name |
Station name | GHCN | 56% |
clim_temp_mean_c |
Annual mean of monthly (TMAX+TMIN)/2, 1991-2020 | GHCN | 56% |
clim_temp_warmest_month_c |
Warmest month mean | GHCN | 56% |
clim_temp_coldest_month_c |
Coldest month mean | GHCN | 56% |
clim_tmax_hottest_month_c |
Mean daily max of hottest month | GHCN | 56% |
clim_tmin_coldest_month_c |
Mean daily min of coldest month | GHCN | 56% |
clim_warmest_month |
1-12 | GHCN | 56% |
clim_years_used |
Years with TMAX data in 1991-2020 | GHCN | 56% |
clim_precip_annual_mm |
Sum of monthly mean precipitation (months with >=25 reported days) | GHCN | 42% |
clim_precip_wettest_month |
1-12 | GHCN | 42% |
clim_temp_m01_c |
Month 1 mean temperature 1991-2020 (C) | GHCN | 56% |
clim_temp_m02_c |
Month 2 mean temperature 1991-2020 (C) | GHCN | 56% |
clim_temp_m03_c |
Month 3 mean temperature 1991-2020 (C) | GHCN | 56% |
clim_temp_m04_c |
Month 4 mean temperature 1991-2020 (C) | GHCN | 56% |
clim_temp_m05_c |
Month 5 mean temperature 1991-2020 (C) | GHCN | 56% |
clim_temp_m06_c |
Month 6 mean temperature 1991-2020 (C) | GHCN | 56% |
clim_temp_m07_c |
Month 7 mean temperature 1991-2020 (C) | GHCN | 56% |
clim_temp_m08_c |
Month 8 mean temperature 1991-2020 (C) | GHCN | 56% |
clim_temp_m09_c |
Month 9 mean temperature 1991-2020 (C) | GHCN | 56% |
clim_temp_m10_c |
Month 10 mean temperature 1991-2020 (C) | GHCN | 56% |
clim_temp_m11_c |
Month 11 mean temperature 1991-2020 (C) | GHCN | 56% |
clim_temp_m12_c |
Month 12 mean temperature 1991-2020 (C) | GHCN | 56% |
clim_precip_m01_mm |
Month 1 mean precipitation 1991-2020 (mm) | GHCN | 42% |
clim_precip_m02_mm |
Month 2 mean precipitation 1991-2020 (mm) | GHCN | 42% |
clim_precip_m03_mm |
Month 3 mean precipitation 1991-2020 (mm) | GHCN | 42% |
clim_precip_m04_mm |
Month 4 mean precipitation 1991-2020 (mm) | GHCN | 42% |
clim_precip_m05_mm |
Month 5 mean precipitation 1991-2020 (mm) | GHCN | 42% |
clim_precip_m06_mm |
Month 6 mean precipitation 1991-2020 (mm) | GHCN | 42% |
clim_precip_m07_mm |
Month 7 mean precipitation 1991-2020 (mm) | GHCN | 42% |
clim_precip_m08_mm |
Month 8 mean precipitation 1991-2020 (mm) | GHCN | 42% |
clim_precip_m09_mm |
Month 9 mean precipitation 1991-2020 (mm) | GHCN | 42% |
clim_precip_m10_mm |
Month 10 mean precipitation 1991-2020 (mm) | GHCN | 42% |
clim_precip_m11_mm |
Month 11 mean precipitation 1991-2020 (mm) | GHCN | 42% |
clim_precip_m12_mm |
Month 12 mean precipitation 1991-2020 (mm) | GHCN | 42% |
r3_road_km |
Road length (all road classes) inside a 3 km radius disc around the point | OVT | 100% |
r3_road_km_per_km2 |
r3_road_km / 28.27 km2 | OVT | 100% |
r3_major_road_km |
motorway+trunk+primary+secondary+tertiary km | OVT | 100% |
r3_motorway_km |
motorway km | OVT | 100% |
r3_footway_cycleway_km |
footway/pedestrian/cycleway/path/steps km | OVT | 100% |
r3_residential_km |
residential km | OVT | 100% |
r3_rail_km |
rail segments km (all tracks incl. metro/tram as mapped) | OVT | 100% |
r3_waterway_km |
waterway segments km | OVT | 100% |
r3_park_share |
Share of the 3 km disc covered by park/recreation land use (union, no double count) | OVL | 100% |
r3_open_green_share |
Share covered by park/recreation/protected/cemetery/golf (union) | OVL | 100% |
data_as_of |
Build date | CALC | 100% |
agglo_snap_px |
Pixels (~0.9 km) from point to agglomeration | GSMOD | 99% |
agglo_touch_edge |
True if agglomeration exceeded the 3x3 degree window (area truncated) | GSMOD | 99% |
cell |
Lilambd 0.5-degree cell = floor((90-lat)/0.5)*720+floor((lon+180)/0.5) | CALC | 100% |
Sources and licences
| key | source | licence | retrieved |
|---|---|---|---|
| OV | Overture Maps divisions (locality), release 2026-10-21.0 | ODbL 1.0 (OSM-derived) / CDLA-Permissive-2.0 | 2026-11-03 |
| OVT | Overture Maps transportation/segment, release 2026-10-21.0 (OpenStreetMap-derived) | ODbL 1.0 | 2026-11-03 |
| OVL | Overture Maps base/land_use, release 2026-10-21.0 (OpenStreetMap-derived) | ODbL 1.0 | 2026-11-03 |
| GPOP | GHSL GHS-POP R2023A, epochs 2000 & 2025, 30 arc-sec (European Commission JRC) | CC BY 4.0 | 2026-11-03 |
| GSMOD | GHSL GHS-SMOD R2023A 2025, 30 arc-sec (Degree of Urbanisation settlement model) | CC BY 4.0 | 2026-11-03 |
| GBLT | GHSL GHS-BUILT-S R2023A 2025, 30 arc-sec | CC BY 4.0 | 2026-11-03 |
| GGRN | GHSL EMC built greenness R2025A 2022, 30 arc-sec | CC BY 4.0 | 2026-11-03 |
| ELEV | Mapzen/AWS Terrain Tiles (terrarium, zoom 11; SRTM/GMTED/ETOPO composite) | Public domain / open (see attribution list) | 2026-11-03 |
| GHCN | NOAA GHCN-Daily station records, 1991-2020 aggregated by Lilambd | Public domain (US Government; WMO Res. 40 for some stations) | 2026-11-03 |
| OA | OurAirports airports.csv (scheduled service only) | Public domain | 2026-11-03 |
| NEP | Natural Earth 10m ports | Public domain | 2026-11-03 |
| CALC | Computed by Lilambd from the columns above | CC BY 4.0 (this dataset) | 2026-11-03 |
Because it contains OpenStreetMap-derived data, the table is released under the Open Database License (ODbL 1.0). Attribution: © OpenStreetMap contributors (via Overture Maps Foundation); GHSL © European Union (JRC), CC BY 4.0; NOAA NCEI GHCN-Daily; OurAirports; Natural Earth; Mapzen/AWS Terrain Tiles.
No personal data: every row is a place, never a person.
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