Page values for "Cities of the world"
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"_pageData" values
1 row is stored for this pageField | Field type | Value |
---|---|---|
_pageID | Integer | 102,992 |
_pageName | Page | Cities of the world |
_pageTitle | String | Cities of the world |
_pageNamespace | Integer | 0 |
"worldcities" values
500 rows are stored for this pageField | Field type | Value |
---|---|---|
city | Page | Tokyo |
city_ascii | Text | Tokyo |
lat | Latitude | 35.6839 |
lon | Longitude | 139.7744 |
coordinates | Coordinates | 35.6839, 139.7744 |
country | Page | Japan |
iso2 | String | JP |
iso3 | String | JPN |
admin_name | Page | Tōkyō |
population | Integer | 39,105,000 |
id | String | 1392685764 |
Field | Field type | Value |
---|---|---|
city | Page | Jakarta |
city_ascii | Text | Jakarta |
lat | Latitude | -6.2146 |
lon | Longitude | 106.8451 |
coordinates | Coordinates | -6.2146, 106.8451 |
country | Page | Indonesia |
iso2 | String | ID |
iso3 | String | IDN |
admin_name | Page | Jakarta |
population | Integer | 35,362,000 |
id | String | 1360771077 |
Field | Field type | Value |
---|---|---|
city | Page | Delhi |
city_ascii | Text | Delhi |
lat | Latitude | 28.6667 |
lon | Longitude | 77.2167 |
coordinates | Coordinates | 28.6667, 77.2167 |
country | Page | India |
iso2 | String | IN |
iso3 | String | IND |
admin_name | Page | Delhi |
population | Integer | 31,870,000 |
id | String | 1356872604 |
Field | Field type | Value |
---|---|---|
city | Page | Manila |
city_ascii | Text | Manila |
lat | Latitude | 14.6 |
lon | Longitude | 120.9833 |
coordinates | Coordinates | 14.6, 120.9833 |
country | Page | Philippines |
iso2 | String | PH |
iso3 | String | PHL |
admin_name | Page | Manila |
population | Integer | 23,971,000 |
id | String | 1608618140 |
Field | Field type | Value |
---|---|---|
city | Page | São Paulo |
city_ascii | Text | Sao Paulo |
lat | Latitude | -23.5504 |
lon | Longitude | -46.6339 |
coordinates | Coordinates | -23.5504, -46.6339 |
country | Page | Brazil |
iso2 | String | BR |
iso3 | String | BRA |
admin_name | Page | São Paulo |
population | Integer | 22,495,000 |
id | String | 1076532519 |
Field | Field type | Value |
---|---|---|
city | Page | Seoul |
city_ascii | Text | Seoul |
lat | Latitude | 37.56 |
lon | Longitude | 126.99 |
coordinates | Coordinates | 37.56, 126.99 |
country | Page | South Korea |
iso2 | String | KR |
iso3 | String | KOR |
admin_name | Page | Seoul |
population | Integer | 22,394,000 |
id | String | 1410836482 |
Field | Field type | Value |
---|---|---|
city | Page | Mumbai |
city_ascii | Text | Mumbai |
lat | Latitude | 19.0758 |
lon | Longitude | 72.8775 |
coordinates | Coordinates | 19.0758, 72.8775 |
country | Page | India |
iso2 | String | IN |
iso3 | String | IND |
admin_name | Page | Mahārāshtra |
population | Integer | 22,186,000 |
id | String | 1356226629 |
Field | Field type | Value |
---|---|---|
city | Page | Shanghai |
city_ascii | Text | Shanghai |
lat | Latitude | 31.1667 |
lon | Longitude | 121.4667 |
coordinates | Coordinates | 31.1667, 121.4667 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Shanghai |
population | Integer | 22,118,000 |
id | String | 1156073548 |
Field | Field type | Value |
---|---|---|
city | Page | Mexico City |
city_ascii | Text | Mexico City |
lat | Latitude | 19.4333 |
lon | Longitude | -99.1333 |
coordinates | Coordinates | 19.4333, -99.1333 |
country | Page | Mexico |
iso2 | String | MX |
iso3 | String | MEX |
admin_name | Page | Ciudad de México |
population | Integer | 21,505,000 |
id | String | 1484247881 |
Field | Field type | Value |
---|---|---|
city | Page | Guangzhou |
city_ascii | Text | Guangzhou |
lat | Latitude | 23.1288 |
lon | Longitude | 113.259 |
coordinates | Coordinates | 23.1288, 113.259 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Guangdong |
population | Integer | 21,489,000 |
id | String | 1156237133 |
Field | Field type | Value |
---|---|---|
city | Page | Cairo |
city_ascii | Text | Cairo |
lat | Latitude | 30.0444 |
lon | Longitude | 31.2358 |
coordinates | Coordinates | 30.0444, 31.2358 |
country | Page | Egypt |
iso2 | String | EG |
iso3 | String | EGY |
admin_name | Page | Al Qāhirah |
population | Integer | 19,787,000 |
id | String | 1818253931 |
Field | Field type | Value |
---|---|---|
city | Page | Beijing |
city_ascii | Text | Beijing |
lat | Latitude | 39.904 |
lon | Longitude | 116.4075 |
coordinates | Coordinates | 39.904, 116.4075 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Beijing |
population | Integer | 19,437,000 |
id | String | 1156228865 |
Field | Field type | Value |
---|---|---|
city | Page | New York |
city_ascii | Text | New York |
lat | Latitude | 40.6943 |
lon | Longitude | -73.9249 |
coordinates | Coordinates | 40.6943, -73.9249 |
country | Page | United States |
iso2 | String | US |
iso3 | String | USA |
admin_name | Page | New York |
population | Integer | 18,713,220 |
id | String | 1840034016 |
Field | Field type | Value |
---|---|---|
city | Page | Kolkāta |
city_ascii | Text | Kolkata |
lat | Latitude | 22.5727 |
lon | Longitude | 88.3639 |
coordinates | Coordinates | 22.5727, 88.3639 |
country | Page | India |
iso2 | String | IN |
iso3 | String | IND |
admin_name | Page | West Bengal |
population | Integer | 18,698,000 |
id | String | 1356060520 |
Field | Field type | Value |
---|---|---|
city | Page | Moscow |
city_ascii | Text | Moscow |
lat | Latitude | 55.7558 |
lon | Longitude | 37.6178 |
coordinates | Coordinates | 55.7558, 37.6178 |
country | Page | Russia |
iso2 | String | RU |
iso3 | String | RUS |
admin_name | Page | Moskva |
population | Integer | 17,693,000 |
id | String | 1643318494 |
Field | Field type | Value |
---|---|---|
city | Page | Bangkok |
city_ascii | Text | Bangkok |
lat | Latitude | 13.75 |
lon | Longitude | 100.5167 |
coordinates | Coordinates | 13.75, 100.5167 |
country | Page | Thailand |
iso2 | String | TH |
iso3 | String | THA |
admin_name | Page | Krung Thep Maha Nakhon |
population | Integer | 17,573,000 |
id | String | 1764068610 |
Field | Field type | Value |
---|---|---|
city | Page | Dhaka |
city_ascii | Text | Dhaka |
lat | Latitude | 23.7289 |
lon | Longitude | 90.3944 |
coordinates | Coordinates | 23.7289, 90.3944 |
country | Page | Bangladesh |
iso2 | String | BD |
iso3 | String | BGD |
admin_name | Page | Dhaka |
population | Integer | 16,839,000 |
id | String | 1050529279 |
Field | Field type | Value |
---|---|---|
city | Page | Buenos Aires |
city_ascii | Text | Buenos Aires |
lat | Latitude | -34.5997 |
lon | Longitude | -58.3819 |
coordinates | Coordinates | -34.5997, -58.3819 |
country | Page | Argentina |
iso2 | String | AR |
iso3 | String | ARG |
admin_name | Page | Buenos Aires, Ciudad Autónoma de |
population | Integer | 16,216,000 |
id | String | 1032717330 |
Field | Field type | Value |
---|---|---|
city | Page | Ōsaka |
city_ascii | Text | Osaka |
lat | Latitude | 34.752 |
lon | Longitude | 135.4582 |
coordinates | Coordinates | 34.752, 135.4582 |
country | Page | Japan |
iso2 | String | JP |
iso3 | String | JPN |
admin_name | Page | Ōsaka |
population | Integer | 15,490,000 |
id | String | 1392419823 |
Field | Field type | Value |
---|---|---|
city | Page | Lagos |
city_ascii | Text | Lagos |
lat | Latitude | 6.45 |
lon | Longitude | 3.4 |
coordinates | Coordinates | 6.45, 3.4 |
country | Page | Nigeria |
iso2 | String | NG |
iso3 | String | NGA |
admin_name | Page | Lagos |
population | Integer | 15,487,000 |
id | String | 1566593751 |
Field | Field type | Value |
---|---|---|
city | Page | Istanbul |
city_ascii | Text | Istanbul |
lat | Latitude | 41.01 |
lon | Longitude | 28.9603 |
coordinates | Coordinates | 41.01, 28.9603 |
country | Page | Turkey |
iso2 | String | TR |
iso3 | String | TUR |
admin_name | Page | İstanbul |
population | Integer | 15,311,000 |
id | String | 1792756324 |
Field | Field type | Value |
---|---|---|
city | Page | Karachi |
city_ascii | Text | Karachi |
lat | Latitude | 24.86 |
lon | Longitude | 67.01 |
coordinates | Coordinates | 24.86, 67.01 |
country | Page | Pakistan |
iso2 | String | PK |
iso3 | String | PAK |
admin_name | Page | Sindh |
population | Integer | 15,292,000 |
id | String | 1586129469 |
Field | Field type | Value |
---|---|---|
city | Page | Kinshasa |
city_ascii | Text | Kinshasa |
lat | Latitude | -4.3317 |
lon | Longitude | 15.3139 |
coordinates | Coordinates | -4.3317, 15.3139 |
country | Page | Congo (Kinshasa) |
iso2 | String | CD |
iso3 | String | COD |
admin_name | Page | Kinshasa |
population | Integer | 15,056,000 |
id | String | 1180000363 |
Field | Field type | Value |
---|---|---|
city | Page | Shenzhen |
city_ascii | Text | Shenzhen |
lat | Latitude | 22.535 |
lon | Longitude | 114.054 |
coordinates | Coordinates | 22.535, 114.054 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Guangdong |
population | Integer | 14,678,000 |
id | String | 1156158707 |
Field | Field type | Value |
---|---|---|
city | Page | Bangalore |
city_ascii | Text | Bangalore |
lat | Latitude | 12.9791 |
lon | Longitude | 77.5913 |
coordinates | Coordinates | 12.9791, 77.5913 |
country | Page | India |
iso2 | String | IN |
iso3 | String | IND |
admin_name | Page | Karnātaka |
population | Integer | 13,999,000 |
id | String | 1356410365 |
Field | Field type | Value |
---|---|---|
city | Page | Ho Chi Minh City |
city_ascii | Text | Ho Chi Minh City |
lat | Latitude | 10.8167 |
lon | Longitude | 106.6333 |
coordinates | Coordinates | 10.8167, 106.6333 |
country | Page | Vietnam |
iso2 | String | VN |
iso3 | String | VNM |
admin_name | Page | Hồ Chí Minh |
population | Integer | 13,954,000 |
id | String | 1704774326 |
Field | Field type | Value |
---|---|---|
city | Page | Tehran |
city_ascii | Text | Tehran |
lat | Latitude | 35.7 |
lon | Longitude | 51.4167 |
coordinates | Coordinates | 35.7, 51.4167 |
country | Page | Iran |
iso2 | String | IR |
iso3 | String | IRN |
admin_name | Page | Tehrān |
population | Integer | 13,819,000 |
id | String | 1364305026 |
Field | Field type | Value |
---|---|---|
city | Page | Los Angeles |
city_ascii | Text | Los Angeles |
lat | Latitude | 34.1139 |
lon | Longitude | -118.4068 |
coordinates | Coordinates | 34.1139, -118.4068 |
country | Page | United States |
iso2 | String | US |
iso3 | String | USA |
admin_name | Page | California |
population | Integer | 12,750,807 |
id | String | 1840020491 |
Field | Field type | Value |
---|---|---|
city | Page | Rio de Janeiro |
city_ascii | Text | Rio de Janeiro |
lat | Latitude | -22.9083 |
lon | Longitude | -43.1964 |
coordinates | Coordinates | -22.9083, -43.1964 |
country | Page | Brazil |
iso2 | String | BR |
iso3 | String | BRA |
admin_name | Page | Rio de Janeiro |
population | Integer | 12,486,000 |
id | String | 1076887657 |
Field | Field type | Value |
---|---|---|
city | Page | Chengdu |
city_ascii | Text | Chengdu |
lat | Latitude | 30.66 |
lon | Longitude | 104.0633 |
coordinates | Coordinates | 30.66, 104.0633 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Sichuan |
population | Integer | 11,920,000 |
id | String | 1156421555 |
Field | Field type | Value |
---|---|---|
city | Page | Baoding |
city_ascii | Text | Baoding |
lat | Latitude | 38.8671 |
lon | Longitude | 115.4845 |
coordinates | Coordinates | 38.8671, 115.4845 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Hebei |
population | Integer | 11,860,000 |
id | String | 1156256829 |
Field | Field type | Value |
---|---|---|
city | Page | Chennai |
city_ascii | Text | Chennai |
lat | Latitude | 13.0825 |
lon | Longitude | 80.275 |
coordinates | Coordinates | 13.0825, 80.275 |
country | Page | India |
iso2 | String | IN |
iso3 | String | IND |
admin_name | Page | Tamil Nādu |
population | Integer | 11,564,000 |
id | String | 1356374944 |
Field | Field type | Value |
---|---|---|
city | Page | Lahore |
city_ascii | Text | Lahore |
lat | Latitude | 31.5497 |
lon | Longitude | 74.3436 |
coordinates | Coordinates | 31.5497, 74.3436 |
country | Page | Pakistan |
iso2 | String | PK |
iso3 | String | PAK |
admin_name | Page | Punjab |
population | Integer | 11,148,000 |
id | String | 1586801463 |
Field | Field type | Value |
---|---|---|
city | Page | London |
city_ascii | Text | London |
lat | Latitude | 51.5072 |
lon | Longitude | -0.1275 |
coordinates | Coordinates | 51.5072, -0.1275 |
country | Page | United Kingdom |
iso2 | String | GB |
iso3 | String | GBR |
admin_name | Page | London, City of |
population | Integer | 11,120,000 |
id | String | 1826645935 |
Field | Field type | Value |
---|---|---|
city | Page | Paris |
city_ascii | Text | Paris |
lat | Latitude | 48.8566 |
lon | Longitude | 2.3522 |
coordinates | Coordinates | 48.8566, 2.3522 |
country | Page | France |
iso2 | String | FR |
iso3 | String | FRA |
admin_name | Page | Île-de-France |
population | Integer | 11,027,000 |
id | String | 1250015082 |
Field | Field type | Value |
---|---|---|
city | Page | Tianjin |
city_ascii | Text | Tianjin |
lat | Latitude | 39.1467 |
lon | Longitude | 117.2056 |
coordinates | Coordinates | 39.1467, 117.2056 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Tianjin |
population | Integer | 10,932,000 |
id | String | 1156174046 |
Field | Field type | Value |
---|---|---|
city | Page | Linyi |
city_ascii | Text | Linyi |
lat | Latitude | 35.0606 |
lon | Longitude | 118.3425 |
coordinates | Coordinates | 35.0606, 118.3425 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Shandong |
population | Integer | 10,820,000 |
id | String | 1156086320 |
Field | Field type | Value |
---|---|---|
city | Page | Shijiazhuang |
city_ascii | Text | Shijiazhuang |
lat | Latitude | 38.0422 |
lon | Longitude | 114.5086 |
coordinates | Coordinates | 38.0422, 114.5086 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Hebei |
population | Integer | 10,784,600 |
id | String | 1156217541 |
Field | Field type | Value |
---|---|---|
city | Page | Zhengzhou |
city_ascii | Text | Zhengzhou |
lat | Latitude | 34.7492 |
lon | Longitude | 113.6605 |
coordinates | Coordinates | 34.7492, 113.6605 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Henan |
population | Integer | 10,136,000 |
id | String | 1156183137 |
Field | Field type | Value |
---|---|---|
city | Page | Nanyang |
city_ascii | Text | Nanyang |
lat | Latitude | 32.9987 |
lon | Longitude | 112.5292 |
coordinates | Coordinates | 32.9987, 112.5292 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Henan |
population | Integer | 10,013,600 |
id | String | 1156192287 |
Field | Field type | Value |
---|---|---|
city | Page | Hyderābād |
city_ascii | Text | Hyderabad |
lat | Latitude | 17.3617 |
lon | Longitude | 78.4747 |
coordinates | Coordinates | 17.3617, 78.4747 |
country | Page | India |
iso2 | String | IN |
iso3 | String | IND |
admin_name | Page | Telangana |
population | Integer | 9,840,000 |
id | String | 1356871768 |
Field | Field type | Value |
---|---|---|
city | Page | Wuhan |
city_ascii | Text | Wuhan |
lat | Latitude | 30.5872 |
lon | Longitude | 114.2881 |
coordinates | Coordinates | 30.5872, 114.2881 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Hubei |
population | Integer | 9,729,000 |
id | String | 1156117184 |
Field | Field type | Value |
---|---|---|
city | Page | Handan |
city_ascii | Text | Handan |
lat | Latitude | 36.6116 |
lon | Longitude | 114.4894 |
coordinates | Coordinates | 36.6116, 114.4894 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Hebei |
population | Integer | 9,549,700 |
id | String | 1156957080 |
Field | Field type | Value |
---|---|---|
city | Page | Nagoya |
city_ascii | Text | Nagoya |
lat | Latitude | 35.1167 |
lon | Longitude | 136.9333 |
coordinates | Coordinates | 35.1167, 136.9333 |
country | Page | Japan |
iso2 | String | JP |
iso3 | String | JPN |
admin_name | Page | Aichi |
population | Integer | 9,522,000 |
id | String | 1392407472 |
Field | Field type | Value |
---|---|---|
city | Page | Weifang |
city_ascii | Text | Weifang |
lat | Latitude | 36.7167 |
lon | Longitude | 119.1 |
coordinates | Coordinates | 36.7167, 119.1 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Shandong |
population | Integer | 9,373,000 |
id | String | 1156912965 |
Field | Field type | Value |
---|---|---|
city | Page | Lima |
city_ascii | Text | Lima |
lat | Latitude | -12.06 |
lon | Longitude | -77.0375 |
coordinates | Coordinates | -12.06, -77.0375 |
country | Page | Peru |
iso2 | String | PE |
iso3 | String | PER |
admin_name | Page | Lima |
population | Integer | 8,992,000 |
id | String | 1604728603 |
Field | Field type | Value |
---|---|---|
city | Page | Zhoukou |
city_ascii | Text | Zhoukou |
lat | Latitude | 33.625 |
lon | Longitude | 114.6418 |
coordinates | Coordinates | 33.625, 114.6418 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Henan |
population | Integer | 8,953,172 |
id | String | 1156272098 |
Field | Field type | Value |
---|---|---|
city | Page | Luanda |
city_ascii | Text | Luanda |
lat | Latitude | -8.8383 |
lon | Longitude | 13.2344 |
coordinates | Coordinates | -8.8383, 13.2344 |
country | Page | Angola |
iso2 | String | AO |
iso3 | String | AGO |
admin_name | Page | Luanda |
population | Integer | 8,883,000 |
id | String | 1024949724 |
Field | Field type | Value |
---|---|---|
city | Page | Ganzhou |
city_ascii | Text | Ganzhou |
lat | Latitude | 25.8292 |
lon | Longitude | 114.9336 |
coordinates | Coordinates | 25.8292, 114.9336 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Jiangxi |
population | Integer | 8,677,600 |
id | String | 1156832475 |
Field | Field type | Value |
---|---|---|
city | Page | Tongshan |
city_ascii | Text | Tongshan |
lat | Latitude | 34.261 |
lon | Longitude | 117.1859 |
coordinates | Coordinates | 34.261, 117.1859 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Jiangsu |
population | Integer | 8,669,000 |
id | String | 1156241678 |
Field | Field type | Value |
---|---|---|
city | Page | Kuala Lumpur |
city_ascii | Text | Kuala Lumpur |
lat | Latitude | 3.1478 |
lon | Longitude | 101.6953 |
coordinates | Coordinates | 3.1478, 101.6953 |
country | Page | Malaysia |
iso2 | String | MY |
iso3 | String | MYS |
admin_name | Page | Kuala Lumpur |
population | Integer | 8,639,000 |
id | String | 1458988644 |
Field | Field type | Value |
---|---|---|
city | Page | Chicago |
city_ascii | Text | Chicago |
lat | Latitude | 41.8373 |
lon | Longitude | -87.6862 |
coordinates | Coordinates | 41.8373, -87.6862 |
country | Page | United States |
iso2 | String | US |
iso3 | String | USA |
admin_name | Page | Illinois |
population | Integer | 8,604,203 |
id | String | 1840000494 |
Field | Field type | Value |
---|---|---|
city | Page | Heze |
city_ascii | Text | Heze |
lat | Latitude | 35.2333 |
lon | Longitude | 115.4333 |
coordinates | Coordinates | 35.2333, 115.4333 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Shandong |
population | Integer | 8,287,693 |
id | String | 1156225008 |
Field | Field type | Value |
---|---|---|
city | Page | Chongqing |
city_ascii | Text | Chongqing |
lat | Latitude | 29.55 |
lon | Longitude | 106.5069 |
coordinates | Coordinates | 29.55, 106.5069 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Chongqing |
population | Integer | 8,261,000 |
id | String | 1156936556 |
Field | Field type | Value |
---|---|---|
city | Page | Hanoi |
city_ascii | Text | Hanoi |
lat | Latitude | 21.0245 |
lon | Longitude | 105.8412 |
coordinates | Coordinates | 21.0245, 105.8412 |
country | Page | Vietnam |
iso2 | String | VN |
iso3 | String | VNM |
admin_name | Page | Hà Nội |
population | Integer | 8,246,600 |
id | String | 1704413791 |
Field | Field type | Value |
---|---|---|
city | Page | Fuyang |
city_ascii | Text | Fuyang |
lat | Latitude | 32.8986 |
lon | Longitude | 115.8045 |
coordinates | Coordinates | 32.8986, 115.8045 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Anhui |
population | Integer | 8,200,264 |
id | String | 1156248008 |
Field | Field type | Value |
---|---|---|
city | Page | Changsha |
city_ascii | Text | Changsha |
lat | Latitude | 28.1987 |
lon | Longitude | 112.9709 |
coordinates | Coordinates | 28.1987, 112.9709 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Hunan |
population | Integer | 8,154,700 |
id | String | 1156961497 |
Field | Field type | Value |
---|---|---|
city | Page | Dongguan |
city_ascii | Text | Dongguan |
lat | Latitude | 23.0475 |
lon | Longitude | 113.7493 |
coordinates | Coordinates | 23.0475, 113.7493 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Guangdong |
population | Integer | 8,142,000 |
id | String | 1156478242 |
Field | Field type | Value |
---|---|---|
city | Page | Jining |
city_ascii | Text | Jining |
lat | Latitude | 35.4 |
lon | Longitude | 116.5667 |
coordinates | Coordinates | 35.4, 116.5667 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Shandong |
population | Integer | 8,081,905 |
id | String | 1156504601 |
Field | Field type | Value |
---|---|---|
city | Page | Jinan |
city_ascii | Text | Jinan |
lat | Latitude | 36.6667 |
lon | Longitude | 116.9833 |
coordinates | Coordinates | 36.6667, 116.9833 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Shandong |
population | Integer | 7,967,400 |
id | String | 1156972469 |
Field | Field type | Value |
---|---|---|
city | Page | Pune |
city_ascii | Text | Pune |
lat | Latitude | 18.5196 |
lon | Longitude | 73.8553 |
coordinates | Coordinates | 18.5196, 73.8553 |
country | Page | India |
iso2 | String | IN |
iso3 | String | IND |
admin_name | Page | Mahārāshtra |
population | Integer | 7,948,000 |
id | String | 1356081074 |
Field | Field type | Value |
---|---|---|
city | Page | Foshan |
city_ascii | Text | Foshan |
lat | Latitude | 23.0292 |
lon | Longitude | 113.1056 |
coordinates | Coordinates | 23.0292, 113.1056 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Guangdong |
population | Integer | 7,905,700 |
id | String | 1156738403 |
Field | Field type | Value |
---|---|---|
city | Page | Bogotá |
city_ascii | Text | Bogota |
lat | Latitude | 4.6126 |
lon | Longitude | -74.0705 |
coordinates | Coordinates | 4.6126, -74.0705 |
country | Page | Colombia |
iso2 | String | CO |
iso3 | String | COL |
admin_name | Page | Bogotá |
population | Integer | 7,743,955 |
id | String | 1170483426 |
Field | Field type | Value |
---|---|---|
city | Page | Ahmedabad |
city_ascii | Text | Ahmedabad |
lat | Latitude | 23.03 |
lon | Longitude | 72.58 |
coordinates | Coordinates | 23.03, 72.58 |
country | Page | India |
iso2 | String | IN |
iso3 | String | IND |
admin_name | Page | Gujarāt |
population | Integer | 7,717,000 |
id | String | 1356304381 |
Field | Field type | Value |
---|---|---|
city | Page | Nanjing |
city_ascii | Text | Nanjing |
lat | Latitude | 32.05 |
lon | Longitude | 118.7667 |
coordinates | Coordinates | 32.05, 118.7667 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Jiangsu |
population | Integer | 7,729,000 |
id | String | 1156644065 |
Field | Field type | Value |
---|---|---|
city | Page | Changchun |
city_ascii | Text | Changchun |
lat | Latitude | 43.9 |
lon | Longitude | 125.2 |
coordinates | Coordinates | 43.9, 125.2 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Jilin |
population | Integer | 7,674,439 |
id | String | 1156078103 |
Field | Field type | Value |
---|---|---|
city | Page | Tangshan |
city_ascii | Text | Tangshan |
lat | Latitude | 39.6292 |
lon | Longitude | 118.1742 |
coordinates | Coordinates | 39.6292, 118.1742 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Hebei |
population | Integer | 7,577,289 |
id | String | 1156904299 |
Field | Field type | Value |
---|---|---|
city | Page | Cangzhou |
city_ascii | Text | Cangzhou |
lat | Latitude | 38.3037 |
lon | Longitude | 116.8452 |
coordinates | Coordinates | 38.3037, 116.8452 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Hebei |
population | Integer | 7,544,300 |
id | String | 1156698069 |
Field | Field type | Value |
---|---|---|
city | Page | Dar es Salaam |
city_ascii | Text | Dar es Salaam |
lat | Latitude | -6.8 |
lon | Longitude | 39.2833 |
coordinates | Coordinates | -6.8, 39.2833 |
country | Page | Tanzania |
iso2 | String | TZ |
iso3 | String | TZA |
admin_name | Page | Dar es Salaam |
population | Integer | 7,461,000 |
id | String | 1834843853 |
Field | Field type | Value |
---|---|---|
city | Page | Hefei |
city_ascii | Text | Hefei |
lat | Latitude | 31.8639 |
lon | Longitude | 117.2808 |
coordinates | Coordinates | 31.8639, 117.2808 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Anhui |
population | Integer | 7,457,027 |
id | String | 1156332710 |
Field | Field type | Value |
---|---|---|
city | Page | Hong Kong |
city_ascii | Text | Hong Kong |
lat | Latitude | 22.3069 |
lon | Longitude | 114.1831 |
coordinates | Coordinates | 22.3069, 114.1831 |
country | Page | Hong Kong |
iso2 | String | HK |
iso3 | String | HKG |
admin_name | Page | |
population | Integer | 7,398,000 |
id | String | 1344982653 |
Field | Field type | Value |
---|---|---|
city | Page | Shaoyang |
city_ascii | Text | Shaoyang |
lat | Latitude | 27.2418 |
lon | Longitude | 111.4725 |
coordinates | Coordinates | 27.2418, 111.4725 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Hunan |
population | Integer | 7,370,500 |
id | String | 1156310366 |
Field | Field type | Value |
---|---|---|
city | Page | Zhanjiang |
city_ascii | Text | Zhanjiang |
lat | Latitude | 21.1967 |
lon | Longitude | 110.4031 |
coordinates | Coordinates | 21.1967, 110.4031 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Guangdong |
population | Integer | 7,332,000 |
id | String | 1156502170 |
Field | Field type | Value |
---|---|---|
city | Page | Shangqiu |
city_ascii | Text | Shangqiu |
lat | Latitude | 34.4259 |
lon | Longitude | 115.6467 |
coordinates | Coordinates | 34.4259, 115.6467 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Henan |
population | Integer | 7,325,300 |
id | String | 1156805441 |
Field | Field type | Value |
---|---|---|
city | Page | Nantong |
city_ascii | Text | Nantong |
lat | Latitude | 31.9829 |
lon | Longitude | 120.8873 |
coordinates | Coordinates | 31.9829, 120.8873 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Jiangsu |
population | Integer | 7,283,622 |
id | String | 1156045365 |
Field | Field type | Value |
---|---|---|
city | Page | Yancheng |
city_ascii | Text | Yancheng |
lat | Latitude | 33.3936 |
lon | Longitude | 120.1339 |
coordinates | Coordinates | 33.3936, 120.1339 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Jiangsu |
population | Integer | 7,260,240 |
id | String | 1156995410 |
Field | Field type | Value |
---|---|---|
city | Page | Nanning |
city_ascii | Text | Nanning |
lat | Latitude | 22.8192 |
lon | Longitude | 108.315 |
coordinates | Coordinates | 22.8192, 108.315 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Guangxi |
population | Integer | 7,254,100 |
id | String | 1156605439 |
Field | Field type | Value |
---|---|---|
city | Page | Hengyang |
city_ascii | Text | Hengyang |
lat | Latitude | 26.8968 |
lon | Longitude | 112.5857 |
coordinates | Coordinates | 26.8968, 112.5857 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Hunan |
population | Integer | 7,243,400 |
id | String | 1156696884 |
Field | Field type | Value |
---|---|---|
city | Page | Zhumadian |
city_ascii | Text | Zhumadian |
lat | Latitude | 32.9773 |
lon | Longitude | 114.0253 |
coordinates | Coordinates | 32.9773, 114.0253 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Henan |
population | Integer | 7,231,234 |
id | String | 1156184822 |
Field | Field type | Value |
---|---|---|
city | Page | Shenyang |
city_ascii | Text | Shenyang |
lat | Latitude | 41.8039 |
lon | Longitude | 123.4258 |
coordinates | Coordinates | 41.8039, 123.4258 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Liaoning |
population | Integer | 7,208,000 |
id | String | 1156309382 |
Field | Field type | Value |
---|---|---|
city | Page | Xingtai |
city_ascii | Text | Xingtai |
lat | Latitude | 37.0659 |
lon | Longitude | 114.4753 |
coordinates | Coordinates | 37.0659, 114.4753 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Hebei |
population | Integer | 7,104,103 |
id | String | 1156294952 |
Field | Field type | Value |
---|---|---|
city | Page | Xi’an |
city_ascii | Text | Xi'an |
lat | Latitude | 34.2667 |
lon | Longitude | 108.9 |
coordinates | Coordinates | 34.2667, 108.9 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Shaanxi |
population | Integer | 7,090,000 |
id | String | 1156244079 |
Field | Field type | Value |
---|---|---|
city | Page | Santiago |
city_ascii | Text | Santiago |
lat | Latitude | -33.45 |
lon | Longitude | -70.6667 |
coordinates | Coordinates | -33.45, -70.6667 |
country | Page | Chile |
iso2 | String | CL |
iso3 | String | CHL |
admin_name | Page | Región Metropolitana |
population | Integer | 7,026,000 |
id | String | 1152554349 |
Field | Field type | Value |
---|---|---|
city | Page | Yantai |
city_ascii | Text | Yantai |
lat | Latitude | 37.3997 |
lon | Longitude | 121.2664 |
coordinates | Coordinates | 37.3997, 121.2664 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Shandong |
population | Integer | 6,968,202 |
id | String | 1156932948 |
Field | Field type | Value |
---|---|---|
city | Page | Riyadh |
city_ascii | Text | Riyadh |
lat | Latitude | 24.65 |
lon | Longitude | 46.71 |
coordinates | Coordinates | 24.65, 46.71 |
country | Page | Saudi Arabia |
iso2 | String | SA |
iso3 | String | SAU |
admin_name | Page | Ar Riyāḑ |
population | Integer | 6,889,000 |
id | String | 1682999334 |
Field | Field type | Value |
---|---|---|
city | Page | Luoyang |
city_ascii | Text | Luoyang |
lat | Latitude | 34.6587 |
lon | Longitude | 112.4245 |
coordinates | Coordinates | 34.6587, 112.4245 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Henan |
population | Integer | 6,888,500 |
id | String | 1156069315 |
Field | Field type | Value |
---|---|---|
city | Page | Kunming |
city_ascii | Text | Kunming |
lat | Latitude | 25.0433 |
lon | Longitude | 102.7061 |
coordinates | Coordinates | 25.0433, 102.7061 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Yunnan |
population | Integer | 6,850,000 |
id | String | 1156477539 |
Field | Field type | Value |
---|---|---|
city | Page | Shangrao |
city_ascii | Text | Shangrao |
lat | Latitude | 28.4419 |
lon | Longitude | 117.9633 |
coordinates | Coordinates | 28.4419, 117.9633 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Jiangxi |
population | Integer | 6,810,700 |
id | String | 1156405492 |
Field | Field type | Value |
---|---|---|
city | Page | Hangzhou |
city_ascii | Text | Hangzhou |
lat | Latitude | 30.25 |
lon | Longitude | 120.1675 |
coordinates | Coordinates | 30.25, 120.1675 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Zhejiang |
population | Integer | 6,713,000 |
id | String | 1156275243 |
Field | Field type | Value |
---|---|---|
city | Page | Bijie |
city_ascii | Text | Bijie |
lat | Latitude | 27.3019 |
lon | Longitude | 105.2863 |
coordinates | Coordinates | 27.3019, 105.2863 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Guizhou |
population | Integer | 6,686,100 |
id | String | 1156018927 |
Field | Field type | Value |
---|---|---|
city | Page | Quanzhou |
city_ascii | Text | Quanzhou |
lat | Latitude | 24.9139 |
lon | Longitude | 118.5858 |
coordinates | Coordinates | 24.9139, 118.5858 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Fujian |
population | Integer | 6,480,000 |
id | String | 1156829655 |
Field | Field type | Value |
---|---|---|
city | Page | Miami |
city_ascii | Text | Miami |
lat | Latitude | 25.7839 |
lon | Longitude | -80.2102 |
coordinates | Coordinates | 25.7839, -80.2102 |
country | Page | United States |
iso2 | String | US |
iso3 | String | USA |
admin_name | Page | Florida |
population | Integer | 6,445,545 |
id | String | 1840015149 |
Field | Field type | Value |
---|---|---|
city | Page | Wuxi |
city_ascii | Text | Wuxi |
lat | Latitude | 31.5667 |
lon | Longitude | 120.2833 |
coordinates | Coordinates | 31.5667, 120.2833 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Jiangsu |
population | Integer | 6,372,624 |
id | String | 1156019650 |
Field | Field type | Value |
---|---|---|
city | Page | Huanggang |
city_ascii | Text | Huanggang |
lat | Latitude | 30.45 |
lon | Longitude | 114.875 |
coordinates | Coordinates | 30.45, 114.875 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Hubei |
population | Integer | 6,333,000 |
id | String | 1156200037 |
Field | Field type | Value |
---|---|---|
city | Page | Maoming |
city_ascii | Text | Maoming |
lat | Latitude | 21.6618 |
lon | Longitude | 110.9178 |
coordinates | Coordinates | 21.6618, 110.9178 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Guangdong |
population | Integer | 6,313,200 |
id | String | 1156568722 |
Field | Field type | Value |
---|---|---|
city | Page | Nanchong |
city_ascii | Text | Nanchong |
lat | Latitude | 30.7991 |
lon | Longitude | 106.0784 |
coordinates | Coordinates | 30.7991, 106.0784 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Sichuan |
population | Integer | 6,278,614 |
id | String | 1156762337 |
Field | Field type | Value |
---|---|---|
city | Page | Zunyi |
city_ascii | Text | Zunyi |
lat | Latitude | 27.705 |
lon | Longitude | 106.9336 |
coordinates | Coordinates | 27.705, 106.9336 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Guizhou |
population | Integer | 6,270,700 |
id | String | 1156539782 |
Field | Field type | Value |
---|---|---|
city | Page | Qujing |
city_ascii | Text | Qujing |
lat | Latitude | 25.5102 |
lon | Longitude | 103.8029 |
coordinates | Coordinates | 25.5102, 103.8029 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Yunnan |
population | Integer | 6,155,400 |
id | String | 1156747998 |
Field | Field type | Value |
---|---|---|
city | Page | Baghdad |
city_ascii | Text | Baghdad |
lat | Latitude | 33.35 |
lon | Longitude | 44.4167 |
coordinates | Coordinates | 33.35, 44.4167 |
country | Page | Iraq |
iso2 | String | IQ |
iso3 | String | IRQ |
admin_name | Page | Baghdād |
population | Integer | 6,107,000 |
id | String | 1368596238 |
Field | Field type | Value |
---|---|---|
city | Page | Xinyang |
city_ascii | Text | Xinyang |
lat | Latitude | 32.1264 |
lon | Longitude | 114.0672 |
coordinates | Coordinates | 32.1264, 114.0672 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Henan |
population | Integer | 6,109,106 |
id | String | 1156273453 |
Field | Field type | Value |
---|---|---|
city | Page | Jieyang |
city_ascii | Text | Jieyang |
lat | Latitude | 23.5533 |
lon | Longitude | 116.3649 |
coordinates | Coordinates | 23.5533, 116.3649 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Guangdong |
population | Integer | 6,089,400 |
id | String | 1156260378 |
Field | Field type | Value |
---|---|---|
city | Page | Khartoum |
city_ascii | Text | Khartoum |
lat | Latitude | 15.6031 |
lon | Longitude | 32.5265 |
coordinates | Coordinates | 15.6031, 32.5265 |
country | Page | Sudan |
iso2 | String | SD |
iso3 | String | SDN |
admin_name | Page | Khartoum |
population | Integer | 6,017,000 |
id | String | 1729268475 |
Field | Field type | Value |
---|---|---|
city | Page | Madrid |
city_ascii | Text | Madrid |
lat | Latitude | 40.4167 |
lon | Longitude | -3.7167 |
coordinates | Coordinates | 40.4167, -3.7167 |
country | Page | Spain |
iso2 | String | ES |
iso3 | String | ESP |
admin_name | Page | Madrid |
population | Integer | 6,006,000 |
id | String | 1724616994 |
Field | Field type | Value |
---|---|---|
city | Page | Allahābād |
city_ascii | Text | Allahabad |
lat | Latitude | 25.45 |
lon | Longitude | 81.85 |
coordinates | Coordinates | 25.45, 81.85 |
country | Page | India |
iso2 | String | IN |
iso3 | String | IND |
admin_name | Page | Uttar Pradesh |
population | Integer | 5,954,391 |
id | String | 1356718332 |
Field | Field type | Value |
---|---|---|
city | Page | Yulin |
city_ascii | Text | Yulin |
lat | Latitude | 22.6293 |
lon | Longitude | 110.1507 |
coordinates | Coordinates | 22.6293, 110.1507 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Guangxi |
population | Integer | 5,849,700 |
id | String | 1156901312 |
Field | Field type | Value |
---|---|---|
city | Page | Changde |
city_ascii | Text | Changde |
lat | Latitude | 29.0397 |
lon | Longitude | 111.6839 |
coordinates | Coordinates | 29.0397, 111.6839 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Hunan |
population | Integer | 5,827,200 |
id | String | 1156449091 |
Field | Field type | Value |
---|---|---|
city | Page | Liaocheng |
city_ascii | Text | Liaocheng |
lat | Latitude | 36.45 |
lon | Longitude | 115.9833 |
coordinates | Coordinates | 36.45, 115.9833 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Shandong |
population | Integer | 5,789,863 |
id | String | 1156006600 |
Field | Field type | Value |
---|---|---|
city | Page | Qingdao |
city_ascii | Text | Qingdao |
lat | Latitude | 36.1167 |
lon | Longitude | 120.4 |
coordinates | Coordinates | 36.1167, 120.4 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Shandong |
population | Integer | 5,775,000 |
id | String | 1156112588 |
Field | Field type | Value |
---|---|---|
city | Page | Dallas |
city_ascii | Text | Dallas |
lat | Latitude | 32.7936 |
lon | Longitude | -96.7662 |
coordinates | Coordinates | 32.7936, -96.7662 |
country | Page | United States |
iso2 | String | US |
iso3 | String | USA |
admin_name | Page | Texas |
population | Integer | 5,743,938 |
id | String | 1840019440 |
Field | Field type | Value |
---|---|---|
city | Page | Nangandao |
city_ascii | Text | Nangandao |
lat | Latitude | 35.2992 |
lon | Longitude | 113.8851 |
coordinates | Coordinates | 35.2992, 113.8851 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Henan |
population | Integer | 5,708,191 |
id | String | 1156127660 |
Field | Field type | Value |
---|---|---|
city | Page | Xiangyang |
city_ascii | Text | Xiangyang |
lat | Latitude | 32.0654 |
lon | Longitude | 112.1531 |
coordinates | Coordinates | 32.0654, 112.1531 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Hubei |
population | Integer | 5,680,000 |
id | String | 1156107325 |
Field | Field type | Value |
---|---|---|
city | Page | Philadelphia |
city_ascii | Text | Philadelphia |
lat | Latitude | 40.0077 |
lon | Longitude | -75.1339 |
coordinates | Coordinates | 40.0077, -75.1339 |
country | Page | United States |
iso2 | String | US |
iso3 | String | USA |
admin_name | Page | Pennsylvania |
population | Integer | 5,649,300 |
id | String | 1840000673 |
Field | Field type | Value |
---|---|---|
city | Page | Giza |
city_ascii | Text | Giza |
lat | Latitude | 29.987 |
lon | Longitude | 31.2118 |
coordinates | Coordinates | 29.987, 31.2118 |
country | Page | Egypt |
iso2 | String | EG |
iso3 | String | EGY |
admin_name | Page | Al Jīzah |
population | Integer | 5,598,402 |
id | String | 1818925479 |
Field | Field type | Value |
---|---|---|
city | Page | Lu’an |
city_ascii | Text | Lu'an |
lat | Latitude | 31.7542 |
lon | Longitude | 116.5078 |
coordinates | Coordinates | 31.7542, 116.5078 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Anhui |
population | Integer | 5,611,701 |
id | String | 1156499624 |
Field | Field type | Value |
---|---|---|
city | Page | Zhaotong |
city_ascii | Text | Zhaotong |
lat | Latitude | 27.3328 |
lon | Longitude | 103.7144 |
coordinates | Coordinates | 27.3328, 103.7144 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Yunnan |
population | Integer | 5,591,000 |
id | String | 1156924687 |
Field | Field type | Value |
---|---|---|
city | Page | Yichun |
city_ascii | Text | Yichun |
lat | Latitude | 27.8041 |
lon | Longitude | 114.383 |
coordinates | Coordinates | 27.8041, 114.383 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Jiangxi |
population | Integer | 5,573,200 |
id | String | 1156229590 |
Field | Field type | Value |
---|---|---|
city | Page | Dezhou |
city_ascii | Text | Dezhou |
lat | Latitude | 37.4513 |
lon | Longitude | 116.3105 |
coordinates | Coordinates | 37.4513, 116.3105 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Shandong |
population | Integer | 5,568,235 |
id | String | 1156524080 |
Field | Field type | Value |
---|---|---|
city | Page | Nairobi |
city_ascii | Text | Nairobi |
lat | Latitude | -1.2864 |
lon | Longitude | 36.8172 |
coordinates | Coordinates | -1.2864, 36.8172 |
country | Page | Kenya |
iso2 | String | KE |
iso3 | String | KEN |
admin_name | Page | Nairobi City |
population | Integer | 5,545,000 |
id | String | 1404000661 |
Field | Field type | Value |
---|---|---|
city | Page | Nanchang |
city_ascii | Text | Nanchang |
lat | Latitude | 28.6842 |
lon | Longitude | 115.8872 |
coordinates | Coordinates | 28.6842, 115.8872 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Jiangxi |
population | Integer | 5,545,500 |
id | String | 1156198892 |
Field | Field type | Value |
---|---|---|
city | Page | Tai’an |
city_ascii | Text | Tai'an |
lat | Latitude | 36.2001 |
lon | Longitude | 117.0809 |
coordinates | Coordinates | 36.2001, 117.0809 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Shandong |
population | Integer | 5,494,207 |
id | String | 1156095188 |
Field | Field type | Value |
---|---|---|
city | Page | Dazhou |
city_ascii | Text | Dazhou |
lat | Latitude | 31.2152 |
lon | Longitude | 107.4947 |
coordinates | Coordinates | 31.2152, 107.4947 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Sichuan |
population | Integer | 5,468,097 |
id | String | 1156834076 |
Field | Field type | Value |
---|---|---|
city | Page | Houston |
city_ascii | Text | Houston |
lat | Latitude | 29.7863 |
lon | Longitude | -95.3889 |
coordinates | Coordinates | 29.7863, -95.3889 |
country | Page | United States |
iso2 | String | US |
iso3 | String | USA |
admin_name | Page | Texas |
population | Integer | 5,464,251 |
id | String | 1840020925 |
Field | Field type | Value |
---|---|---|
city | Page | Guadalajara |
city_ascii | Text | Guadalajara |
lat | Latitude | 20.6767 |
lon | Longitude | -103.3475 |
coordinates | Coordinates | 20.6767, -103.3475 |
country | Page | Mexico |
iso2 | String | MX |
iso3 | String | MEX |
admin_name | Page | Jalisco |
population | Integer | 5,437,000 |
id | String | 1484950208 |
Field | Field type | Value |
---|---|---|
city | Page | Yongzhou |
city_ascii | Text | Yongzhou |
lat | Latitude | 26.4515 |
lon | Longitude | 111.5953 |
coordinates | Coordinates | 26.4515, 111.5953 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Hunan |
population | Integer | 5,452,100 |
id | String | 1156694479 |
Field | Field type | Value |
---|---|---|
city | Page | Atlanta |
city_ascii | Text | Atlanta |
lat | Latitude | 33.7627 |
lon | Longitude | -84.4224 |
coordinates | Coordinates | 33.7627, -84.4224 |
country | Page | United States |
iso2 | String | US |
iso3 | String | USA |
admin_name | Page | Georgia |
population | Integer | 5,449,398 |
id | String | 1840013660 |
Field | Field type | Value |
---|---|---|
city | Page | Rangoon |
city_ascii | Text | Rangoon |
lat | Latitude | 16.795 |
lon | Longitude | 96.16 |
coordinates | Coordinates | 16.795, 96.16 |
country | Page | Myanmar |
iso2 | String | MM |
iso3 | String | MMR |
admin_name | Page | Yangon |
population | Integer | 5,430,000 |
id | String | 1104616656 |
Field | Field type | Value |
---|---|---|
city | Page | Toronto |
city_ascii | Text | Toronto |
lat | Latitude | 43.7417 |
lon | Longitude | -79.3733 |
coordinates | Coordinates | 43.7417, -79.3733 |
country | Page | Canada |
iso2 | String | CA |
iso3 | String | CAN |
admin_name | Page | Ontario |
population | Integer | 5,429,524 |
id | String | 1124279679 |
Field | Field type | Value |
---|---|---|
city | Page | Suihua |
city_ascii | Text | Suihua |
lat | Latitude | 46.6384 |
lon | Longitude | 126.9808 |
coordinates | Coordinates | 46.6384, 126.9808 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Heilongjiang |
population | Integer | 5,418,153 |
id | String | 1156235493 |
Field | Field type | Value |
---|---|---|
city | Page | Saint Petersburg |
city_ascii | Text | Saint Petersburg |
lat | Latitude | 59.95 |
lon | Longitude | 30.3167 |
coordinates | Coordinates | 59.95, 30.3167 |
country | Page | Russia |
iso2 | String | RU |
iso3 | String | RUS |
admin_name | Page | Sankt-Peterburg |
population | Integer | 5,384,342 |
id | String | 1643616350 |
Field | Field type | Value |
---|---|---|
city | Page | Washington |
city_ascii | Text | Washington |
lat | Latitude | 38.9047 |
lon | Longitude | -77.0163 |
coordinates | Coordinates | 38.9047, -77.0163 |
country | Page | United States |
iso2 | String | US |
iso3 | String | USA |
admin_name | Page | District of Columbia |
population | Integer | 5,379,184 |
id | String | 1840006060 |
Field | Field type | Value |
---|---|---|
city | Page | Qiqihar |
city_ascii | Text | Qiqihar |
lat | Latitude | 47.3398 |
lon | Longitude | 123.9512 |
coordinates | Coordinates | 47.3398, 123.9512 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Heilongjiang |
population | Integer | 5,367,003 |
id | String | 1156775905 |
Field | Field type | Value |
---|---|---|
city | Page | Suzhou |
city_ascii | Text | Suzhou |
lat | Latitude | 33.6333 |
lon | Longitude | 116.9683 |
coordinates | Coordinates | 33.6333, 116.9683 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Anhui |
population | Integer | 5,352,924 |
id | String | 1156871297 |
Field | Field type | Value |
---|---|---|
city | Page | Shantou |
city_ascii | Text | Shantou |
lat | Latitude | 23.3735 |
lon | Longitude | 116.6941 |
coordinates | Coordinates | 23.3735, 116.6941 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Guangdong |
population | Integer | 5,319,028 |
id | String | 1156457499 |
Field | Field type | Value |
---|---|---|
city | Page | Weinan |
city_ascii | Text | Weinan |
lat | Latitude | 34.4996 |
lon | Longitude | 109.4684 |
coordinates | Coordinates | 34.4996, 109.4684 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Shaanxi |
population | Integer | 5,286,077 |
id | String | 1156903687 |
Field | Field type | Value |
---|---|---|
city | Page | Changzhou |
city_ascii | Text | Changzhou |
lat | Latitude | 31.8122 |
lon | Longitude | 119.9692 |
coordinates | Coordinates | 31.8122, 119.9692 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Jiangsu |
population | Integer | 5,278,121 |
id | String | 1156185511 |
Field | Field type | Value |
---|---|---|
city | Page | Singapore |
city_ascii | Text | Singapore |
lat | Latitude | 1.3 |
lon | Longitude | 103.8 |
coordinates | Coordinates | 1.3, 103.8 |
country | Page | Singapore |
iso2 | String | SG |
iso3 | String | SGP |
admin_name | Page | Central Singapore |
population | Integer | 5,271,000 |
id | String | 1702341327 |
Field | Field type | Value |
---|---|---|
city | Page | Fuzhou |
city_ascii | Text | Fuzhou |
lat | Latitude | 26.0769 |
lon | Longitude | 119.2917 |
coordinates | Coordinates | 26.0769, 119.2917 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Fujian |
population | Integer | 5,245,000 |
id | String | 1156188037 |
Field | Field type | Value |
---|---|---|
city | Page | Pudong |
city_ascii | Text | Pudong |
lat | Latitude | 31.2231 |
lon | Longitude | 121.5397 |
coordinates | Coordinates | 31.2231, 121.5397 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Shanghai |
population | Integer | 5,187,200 |
id | String | 1156644508 |
Field | Field type | Value |
---|---|---|
city | Page | Belo Horizonte |
city_ascii | Text | Belo Horizonte |
lat | Latitude | -19.9281 |
lon | Longitude | -43.9419 |
coordinates | Coordinates | -19.9281, -43.9419 |
country | Page | Brazil |
iso2 | String | BR |
iso3 | String | BRA |
admin_name | Page | Minas Gerais |
population | Integer | 5,159,000 |
id | String | 1076967355 |
Field | Field type | Value |
---|---|---|
city | Page | Zhangzhou |
city_ascii | Text | Zhangzhou |
lat | Latitude | 24.5093 |
lon | Longitude | 117.6612 |
coordinates | Coordinates | 24.5093, 117.6612 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Fujian |
population | Integer | 5,140,000 |
id | String | 1156241637 |
Field | Field type | Value |
---|---|---|
city | Page | Yuncheng |
city_ascii | Text | Yuncheng |
lat | Latitude | 35.0304 |
lon | Longitude | 110.998 |
coordinates | Coordinates | 35.0304, 110.998 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Shanxi |
population | Integer | 5,134,779 |
id | String | 1156705644 |
Field | Field type | Value |
---|---|---|
city | Page | Suzhou |
city_ascii | Text | Suzhou |
lat | Latitude | 31.304 |
lon | Longitude | 120.6164 |
coordinates | Coordinates | 31.304, 120.6164 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Jiangsu |
population | Integer | 5,103,000 |
id | String | 1156029196 |
Field | Field type | Value |
---|---|---|
city | Page | Xianyang |
city_ascii | Text | Xianyang |
lat | Latitude | 34.35 |
lon | Longitude | 108.7167 |
coordinates | Coordinates | 34.35, 108.7167 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Shaanxi |
population | Integer | 5,096,001 |
id | String | 1156120117 |
Field | Field type | Value |
---|---|---|
city | Page | Guilin |
city_ascii | Text | Guilin |
lat | Latitude | 25.2667 |
lon | Longitude | 110.2833 |
coordinates | Coordinates | 25.2667, 110.2833 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Guangxi |
population | Integer | 5,085,500 |
id | String | 1156235364 |
Field | Field type | Value |
---|---|---|
city | Page | Taizhou |
city_ascii | Text | Taizhou |
lat | Latitude | 32.4831 |
lon | Longitude | 119.9 |
coordinates | Coordinates | 32.4831, 119.9 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Jiangsu |
population | Integer | 5,031,000 |
id | String | 1156119229 |
Field | Field type | Value |
---|---|---|
city | Page | Abidjan |
city_ascii | Text | Abidjan |
lat | Latitude | 5.3364 |
lon | Longitude | -4.0267 |
coordinates | Coordinates | 5.3364, -4.0267 |
country | Page | Côte d'Ivoire |
iso2 | String | CI |
iso3 | String | CIV |
admin_name | Page | Abidjan |
population | Integer | 4,980,000 |
id | String | 1384207980 |
Field | Field type | Value |
---|---|---|
city | Page | Huaihua |
city_ascii | Text | Huaihua |
lat | Latitude | 27.5494 |
lon | Longitude | 109.9592 |
coordinates | Coordinates | 27.5494, 109.9592 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Hunan |
population | Integer | 4,979,600 |
id | String | 1156353465 |
Field | Field type | Value |
---|---|---|
city | Page | Ji’an |
city_ascii | Text | Ji'an |
lat | Latitude | 27.1172 |
lon | Longitude | 114.9793 |
coordinates | Coordinates | 27.1172, 114.9793 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Jiangxi |
population | Integer | 4,956,600 |
id | String | 1156278215 |
Field | Field type | Value |
---|---|---|
city | Page | Xiaoganzhan |
city_ascii | Text | Xiaoganzhan |
lat | Latitude | 30.9273 |
lon | Longitude | 113.911 |
coordinates | Coordinates | 30.9273, 113.911 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Hubei |
population | Integer | 4,921,000 |
id | String | 1156002290 |
Field | Field type | Value |
---|---|---|
city | Page | Pingdingshan |
city_ascii | Text | Pingdingshan |
lat | Latitude | 33.735 |
lon | Longitude | 113.2999 |
coordinates | Coordinates | 33.735, 113.2999 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Henan |
population | Integer | 4,904,701 |
id | String | 1156735124 |
Field | Field type | Value |
---|---|---|
city | Page | Jiujiang |
city_ascii | Text | Jiujiang |
lat | Latitude | 29.7048 |
lon | Longitude | 116.0021 |
coordinates | Coordinates | 29.7048, 116.0021 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Jiangxi |
population | Integer | 4,896,800 |
id | String | 1156206041 |
Field | Field type | Value |
---|---|---|
city | Page | Sūrat |
city_ascii | Text | Surat |
lat | Latitude | 21.17 |
lon | Longitude | 72.83 |
coordinates | Coordinates | 21.17, 72.83 |
country | Page | India |
iso2 | String | IN |
iso3 | String | IND |
admin_name | Page | Gujarāt |
population | Integer | 4,875,000 |
id | String | 1356758738 |
Field | Field type | Value |
---|---|---|
city | Page | Guiyang |
city_ascii | Text | Guiyang |
lat | Latitude | 26.5794 |
lon | Longitude | 106.7078 |
coordinates | Coordinates | 26.5794, 106.7078 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Guizhou |
population | Integer | 4,881,900 |
id | String | 1156932620 |
Field | Field type | Value |
---|---|---|
city | Page | Alexandria |
city_ascii | Text | Alexandria |
lat | Latitude | 31.2 |
lon | Longitude | 29.9167 |
coordinates | Coordinates | 31.2, 29.9167 |
country | Page | Egypt |
iso2 | String | EG |
iso3 | String | EGY |
admin_name | Page | Al Iskandarīyah |
population | Integer | 4,870,000 |
id | String | 1818695837 |
Field | Field type | Value |
---|---|---|
city | Page | Bozhou |
city_ascii | Text | Bozhou |
lat | Latitude | 33.8626 |
lon | Longitude | 115.7742 |
coordinates | Coordinates | 33.8626, 115.7742 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Anhui |
population | Integer | 4,850,657 |
id | String | 1156356860 |
Field | Field type | Value |
---|---|---|
city | Page | Sydney |
city_ascii | Text | Sydney |
lat | Latitude | -33.865 |
lon | Longitude | 151.2094 |
coordinates | Coordinates | -33.865, 151.2094 |
country | Page | Australia |
iso2 | String | AU |
iso3 | String | AUS |
admin_name | Page | New South Wales |
population | Integer | 4,840,600 |
id | String | 1036074917 |
Field | Field type | Value |
---|---|---|
city | Page | Huizhou |
city_ascii | Text | Huizhou |
lat | Latitude | 23.1115 |
lon | Longitude | 114.4152 |
coordinates | Coordinates | 23.1115, 114.4152 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Guangdong |
population | Integer | 4,830,000 |
id | String | 1156203268 |
Field | Field type | Value |
---|---|---|
city | Page | Huai’an |
city_ascii | Text | Huai'an |
lat | Latitude | 33.5 |
lon | Longitude | 119.1331 |
coordinates | Coordinates | 33.5, 119.1331 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Jiangsu |
population | Integer | 4,799,889 |
id | String | 1156634228 |
Field | Field type | Value |
---|---|---|
city | Page | Chenzhou |
city_ascii | Text | Chenzhou |
lat | Latitude | 25.7989 |
lon | Longitude | 113.0267 |
coordinates | Coordinates | 25.7989, 113.0267 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Hunan |
population | Integer | 4,744,500 |
id | String | 1156291915 |
Field | Field type | Value |
---|---|---|
city | Page | Barcelona |
city_ascii | Text | Barcelona |
lat | Latitude | 41.3825 |
lon | Longitude | 2.1769 |
coordinates | Coordinates | 41.3825, 2.1769 |
country | Page | Spain |
iso2 | String | ES |
iso3 | String | ESP |
admin_name | Page | Catalonia |
population | Integer | 4,735,000 |
id | String | 1724594040 |
Field | Field type | Value |
---|---|---|
city | Page | Anqing |
city_ascii | Text | Anqing |
lat | Latitude | 30.5 |
lon | Longitude | 117.0333 |
coordinates | Coordinates | 30.5, 117.0333 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Anhui |
population | Integer | 4,723,000 |
id | String | 1156238875 |
Field | Field type | Value |
---|---|---|
city | Page | Suqian |
city_ascii | Text | Suqian |
lat | Latitude | 33.9331 |
lon | Longitude | 118.2831 |
coordinates | Coordinates | 33.9331, 118.2831 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Jiangsu |
population | Integer | 4,719,178 |
id | String | 1156212349 |
Field | Field type | Value |
---|---|---|
city | Page | Boston |
city_ascii | Text | Boston |
lat | Latitude | 42.3188 |
lon | Longitude | -71.0846 |
coordinates | Coordinates | 42.3188, -71.0846 |
country | Page | United States |
iso2 | String | US |
iso3 | String | USA |
admin_name | Page | Massachusetts |
population | Integer | 4,688,346 |
id | String | 1840000455 |
Field | Field type | Value |
---|---|---|
city | Page | Jiangmen |
city_ascii | Text | Jiangmen |
lat | Latitude | 22.5833 |
lon | Longitude | 113.0833 |
coordinates | Coordinates | 22.5833, 113.0833 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Guangdong |
population | Integer | 4,630,300 |
id | String | 1156105613 |
Field | Field type | Value |
---|---|---|
city | Page | Mianyang |
city_ascii | Text | Mianyang |
lat | Latitude | 31.4669 |
lon | Longitude | 104.7385 |
coordinates | Coordinates | 31.4669, 104.7385 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Sichuan |
population | Integer | 4,613,862 |
id | String | 1156417758 |
Field | Field type | Value |
---|---|---|
city | Page | Harbin |
city_ascii | Text | Harbin |
lat | Latitude | 45.75 |
lon | Longitude | 126.6333 |
coordinates | Coordinates | 45.75, 126.6333 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Heilongjiang |
population | Integer | 4,583,000 |
id | String | 1156241528 |
Field | Field type | Value |
---|---|---|
city | Page | Huanglongsi |
city_ascii | Text | Huanglongsi |
lat | Latitude | 34.7936 |
lon | Longitude | 114.3403 |
coordinates | Coordinates | 34.7936, 114.3403 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Henan |
population | Integer | 4,564,900 |
id | String | 1156198356 |
Field | Field type | Value |
---|---|---|
city | Page | Melbourne |
city_ascii | Text | Melbourne |
lat | Latitude | -37.8136 |
lon | Longitude | 144.9631 |
coordinates | Coordinates | -37.8136, 144.9631 |
country | Page | Australia |
iso2 | String | AU |
iso3 | String | AUS |
admin_name | Page | Victoria |
population | Integer | 4,529,500 |
id | String | 1036533631 |
Field | Field type | Value |
---|---|---|
city | Page | Zibo |
city_ascii | Text | Zibo |
lat | Latitude | 36.7831 |
lon | Longitude | 118.0497 |
coordinates | Coordinates | 36.7831, 118.0497 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Shandong |
population | Integer | 4,530,597 |
id | String | 1156381094 |
Field | Field type | Value |
---|---|---|
city | Page | Dalian |
city_ascii | Text | Dalian |
lat | Latitude | 38.9 |
lon | Longitude | 121.6 |
coordinates | Coordinates | 38.9, 121.6 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Liaoning |
population | Integer | 4,480,000 |
id | String | 1156175472 |
Field | Field type | Value |
---|---|---|
city | Page | Hengshui |
city_ascii | Text | Hengshui |
lat | Latitude | 37.7348 |
lon | Longitude | 115.686 |
coordinates | Coordinates | 37.7348, 115.686 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Hebei |
population | Integer | 4,472,000 |
id | String | 1156803028 |
Field | Field type | Value |
---|---|---|
city | Page | Yibin |
city_ascii | Text | Yibin |
lat | Latitude | 28.7596 |
lon | Longitude | 104.64 |
coordinates | Coordinates | 28.7596, 104.64 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Sichuan |
population | Integer | 4,471,896 |
id | String | 1156107603 |
Field | Field type | Value |
---|---|---|
city | Page | Yangzhou |
city_ascii | Text | Yangzhou |
lat | Latitude | 32.3912 |
lon | Longitude | 119.4363 |
coordinates | Coordinates | 32.3912, 119.4363 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Jiangsu |
population | Integer | 4,459,760 |
id | String | 1156818601 |
Field | Field type | Value |
---|---|---|
city | Page | Timbío |
city_ascii | Text | Timbio |
lat | Latitude | 2.3528 |
lon | Longitude | -76.6819 |
coordinates | Coordinates | 2.3528, -76.6819 |
country | Page | Colombia |
iso2 | String | CO |
iso3 | String | COL |
admin_name | Page | Cauca |
population | Integer | 4,444,444 |
id | String | 1170815311 |
Field | Field type | Value |
---|---|---|
city | Page | Johannesburg |
city_ascii | Text | Johannesburg |
lat | Latitude | -26.2044 |
lon | Longitude | 28.0416 |
coordinates | Coordinates | -26.2044, 28.0416 |
country | Page | South Africa |
iso2 | String | ZA |
iso3 | String | ZAF |
admin_name | Page | Gauteng |
population | Integer | 4,434,827 |
id | String | 1710550792 |
Field | Field type | Value |
---|---|---|
city | Page | Yiyang |
city_ascii | Text | Yiyang |
lat | Latitude | 28.5833 |
lon | Longitude | 112.3333 |
coordinates | Coordinates | 28.5833, 112.3333 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Hunan |
population | Integer | 4,413,800 |
id | String | 1156218615 |
Field | Field type | Value |
---|---|---|
city | Page | Guigang |
city_ascii | Text | Guigang |
lat | Latitude | 23.0961 |
lon | Longitude | 109.6092 |
coordinates | Coordinates | 23.0961, 109.6092 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Guangxi |
population | Integer | 4,409,200 |
id | String | 1156895251 |
Field | Field type | Value |
---|---|---|
city | Page | Xinpu |
city_ascii | Text | Xinpu |
lat | Latitude | 34.5906 |
lon | Longitude | 119.1801 |
coordinates | Coordinates | 34.5906, 119.1801 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Jiangsu |
population | Integer | 4,393,482 |
id | String | 1156035381 |
Field | Field type | Value |
---|---|---|
city | Page | Meizhou |
city_ascii | Text | Meizhou |
lat | Latitude | 24.2998 |
lon | Longitude | 116.1191 |
coordinates | Coordinates | 24.2998, 116.1191 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Guangdong |
population | Integer | 4,378,800 |
id | String | 1156361028 |
Field | Field type | Value |
---|---|---|
city | Page | Casablanca |
city_ascii | Text | Casablanca |
lat | Latitude | 33.5992 |
lon | Longitude | -7.62 |
coordinates | Coordinates | 33.5992, -7.62 |
country | Page | Morocco |
iso2 | String | MA |
iso3 | String | MAR |
admin_name | Page | Casablanca-Settat |
population | Integer | 4,370,000 |
id | String | 1504175315 |
Field | Field type | Value |
---|---|---|
city | Page | Langfang |
city_ascii | Text | Langfang |
lat | Latitude | 39.5196 |
lon | Longitude | 116.7006 |
coordinates | Coordinates | 39.5196, 116.7006 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Hebei |
population | Integer | 4,358,839 |
id | String | 1156109017 |
Field | Field type | Value |
---|---|---|
city | Page | Zhangjiakou |
city_ascii | Text | Zhangjiakou |
lat | Latitude | 40.8108 |
lon | Longitude | 114.8811 |
coordinates | Coordinates | 40.8108, 114.8811 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Hebei |
population | Integer | 4,345,485 |
id | String | 1156800221 |
Field | Field type | Value |
---|---|---|
city | Page | Chifeng |
city_ascii | Text | Chifeng |
lat | Latitude | 42.2663 |
lon | Longitude | 118.9223 |
coordinates | Coordinates | 42.2663, 118.9223 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Inner Mongolia |
population | Integer | 4,341,245 |
id | String | 1156277458 |
Field | Field type | Value |
---|---|---|
city | Page | Linfen |
city_ascii | Text | Linfen |
lat | Latitude | 36.0812 |
lon | Longitude | 111.5087 |
coordinates | Coordinates | 36.0812, 111.5087 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Shanxi |
population | Integer | 4,316,610 |
id | String | 1156416074 |
Field | Field type | Value |
---|---|---|
city | Page | Jiangguanchi |
city_ascii | Text | Jiangguanchi |
lat | Latitude | 34.0244 |
lon | Longitude | 113.8201 |
coordinates | Coordinates | 34.0244, 113.8201 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Henan |
population | Integer | 4,307,488 |
id | String | 1156235735 |
Field | Field type | Value |
---|---|---|
city | Page | Kabul |
city_ascii | Text | Kabul |
lat | Latitude | 34.5328 |
lon | Longitude | 69.1658 |
coordinates | Coordinates | 34.5328, 69.1658 |
country | Page | Afghanistan |
iso2 | String | AF |
iso3 | String | AFG |
admin_name | Page | Kābul |
population | Integer | 4,273,156 |
id | String | 1004993580 |
Field | Field type | Value |
---|---|---|
city | Page | Phoenix |
city_ascii | Text | Phoenix |
lat | Latitude | 33.5722 |
lon | Longitude | -112.0891 |
coordinates | Coordinates | 33.5722, -112.0891 |
country | Page | United States |
iso2 | String | US |
iso3 | String | USA |
admin_name | Page | Arizona |
population | Integer | 4,219,697 |
id | String | 1840020568 |
Field | Field type | Value |
---|---|---|
city | Page | Luzhou |
city_ascii | Text | Luzhou |
lat | Latitude | 28.8918 |
lon | Longitude | 105.4409 |
coordinates | Coordinates | 28.8918, 105.4409 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Sichuan |
population | Integer | 4,218,427 |
id | String | 1156582079 |
Field | Field type | Value |
---|---|---|
city | Page | Taiyuan |
city_ascii | Text | Taiyuan |
lat | Latitude | 37.8733 |
lon | Longitude | 112.5425 |
coordinates | Coordinates | 37.8733, 112.5425 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Shanxi |
population | Integer | 4,201,592 |
id | String | 1156632014 |
Field | Field type | Value |
---|---|---|
city | Page | Zhaoqing |
city_ascii | Text | Zhaoqing |
lat | Latitude | 23.05 |
lon | Longitude | 112.4667 |
coordinates | Coordinates | 23.05, 112.4667 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Guangdong |
population | Integer | 4,151,700 |
id | String | 1156170144 |
Field | Field type | Value |
---|---|---|
city | Page | Xiaoxita |
city_ascii | Text | Xiaoxita |
lat | Latitude | 30.7083 |
lon | Longitude | 111.2803 |
coordinates | Coordinates | 30.7083, 111.2803 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Hubei |
population | Integer | 4,137,900 |
id | String | 1156764447 |
Field | Field type | Value |
---|---|---|
city | Page | Xiamen |
city_ascii | Text | Xiamen |
lat | Latitude | 24.4797 |
lon | Longitude | 118.0819 |
coordinates | Coordinates | 24.4797, 118.0819 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Fujian |
population | Integer | 4,110,000 |
id | String | 1156212809 |
Field | Field type | Value |
---|---|---|
city | Page | Fuzhou |
city_ascii | Text | Fuzhou |
lat | Latitude | 27.9814 |
lon | Longitude | 116.3577 |
coordinates | Coordinates | 27.9814, 116.3577 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Jiangxi |
population | Integer | 4,047,200 |
id | String | 1156915325 |
Field | Field type | Value |
---|---|---|
city | Page | Liuzhou |
city_ascii | Text | Liuzhou |
lat | Latitude | 24.3264 |
lon | Longitude | 109.4281 |
coordinates | Coordinates | 24.3264, 109.4281 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Guangxi |
population | Integer | 4,041,700 |
id | String | 1156360785 |
Field | Field type | Value |
---|---|---|
city | Page | Zhuzhou |
city_ascii | Text | Zhuzhou |
lat | Latitude | 27.8407 |
lon | Longitude | 113.1469 |
coordinates | Coordinates | 27.8407, 113.1469 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Hunan |
population | Integer | 4,020,800 |
id | String | 1156041962 |
Field | Field type | Value |
---|---|---|
city | Page | Amman |
city_ascii | Text | Amman |
lat | Latitude | 31.95 |
lon | Longitude | 35.9333 |
coordinates | Coordinates | 31.95, 35.9333 |
country | Page | Jordan |
iso2 | String | JO |
iso3 | String | JOR |
admin_name | Page | Al ‘Āşimah |
population | Integer | 4,007,526 |
id | String | 1400522593 |
Field | Field type | Value |
---|---|---|
city | Page | Jeddah |
city_ascii | Text | Jeddah |
lat | Latitude | 21.5428 |
lon | Longitude | 39.1728 |
coordinates | Coordinates | 21.5428, 39.1728 |
country | Page | Saudi Arabia |
iso2 | String | SA |
iso3 | String | SAU |
admin_name | Page | Makkah al Mukarramah |
population | Integer | 3,976,000 |
id | String | 1682926944 |
Field | Field type | Value |
---|---|---|
city | Page | Chuzhou |
city_ascii | Text | Chuzhou |
lat | Latitude | 32.3062 |
lon | Longitude | 118.3115 |
coordinates | Coordinates | 32.3062, 118.3115 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Anhui |
population | Integer | 3,937,868 |
id | String | 1156036420 |
Field | Field type | Value |
---|---|---|
city | Page | Loudi |
city_ascii | Text | Loudi |
lat | Latitude | 27.7378 |
lon | Longitude | 111.9974 |
coordinates | Coordinates | 27.7378, 111.9974 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Hunan |
population | Integer | 3,931,800 |
id | String | 1156010654 |
Field | Field type | Value |
---|---|---|
city | Page | Deyang |
city_ascii | Text | Deyang |
lat | Latitude | 31.1289 |
lon | Longitude | 104.395 |
coordinates | Coordinates | 31.1289, 104.395 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Sichuan |
population | Integer | 3,877,000 |
id | String | 1156127147 |
Field | Field type | Value |
---|---|---|
city | Page | Qingyuan |
city_ascii | Text | Qingyuan |
lat | Latitude | 23.6842 |
lon | Longitude | 113.0507 |
coordinates | Coordinates | 23.6842, 113.0507 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Guangdong |
population | Integer | 3,874,000 |
id | String | 1156135890 |
Field | Field type | Value |
---|---|---|
city | Page | Kano |
city_ascii | Text | Kano |
lat | Latitude | 12 |
lon | Longitude | 8.5167 |
coordinates | Coordinates | 12, 8.5167 |
country | Page | Nigeria |
iso2 | String | NG |
iso3 | String | NGA |
admin_name | Page | Kano |
population | Integer | 3,848,885 |
id | String | 1566422868 |
Field | Field type | Value |
---|---|---|
city | Page | Wuhu |
city_ascii | Text | Wuhu |
lat | Latitude | 31.334 |
lon | Longitude | 118.3622 |
coordinates | Coordinates | 31.334, 118.3622 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Anhui |
population | Integer | 3,842,100 |
id | String | 1156315512 |
Field | Field type | Value |
---|---|---|
city | Page | Seattle |
city_ascii | Text | Seattle |
lat | Latitude | 47.6211 |
lon | Longitude | -122.3244 |
coordinates | Coordinates | 47.6211, -122.3244 |
country | Page | United States |
iso2 | String | US |
iso3 | String | USA |
admin_name | Page | Washington |
population | Integer | 3,789,215 |
id | String | 1840021117 |
Field | Field type | Value |
---|---|---|
city | Page | Yokohama |
city_ascii | Text | Yokohama |
lat | Latitude | 35.4333 |
lon | Longitude | 139.6333 |
coordinates | Coordinates | 35.4333, 139.6333 |
country | Page | Japan |
iso2 | String | JP |
iso3 | String | JPN |
admin_name | Page | Kanagawa |
population | Integer | 3,757,630 |
id | String | 1392118339 |
Field | Field type | Value |
---|---|---|
city | Page | Binzhou |
city_ascii | Text | Binzhou |
lat | Latitude | 37.3806 |
lon | Longitude | 118.0125 |
coordinates | Coordinates | 37.3806, 118.0125 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Shandong |
population | Integer | 3,748,474 |
id | String | 1156564962 |
Field | Field type | Value |
---|---|---|
city | Page | Baojishi |
city_ascii | Text | Baojishi |
lat | Latitude | 34.3609 |
lon | Longitude | 107.1751 |
coordinates | Coordinates | 34.3609, 107.1751 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Shaanxi |
population | Integer | 3,738,700 |
id | String | 1156101096 |
Field | Field type | Value |
---|---|---|
city | Page | Zaozhuang |
city_ascii | Text | Zaozhuang |
lat | Latitude | 34.8667 |
lon | Longitude | 117.55 |
coordinates | Coordinates | 34.8667, 117.55 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Shandong |
population | Integer | 3,729,140 |
id | String | 1156796454 |
Field | Field type | Value |
---|---|---|
city | Page | Neijiang |
city_ascii | Text | Neijiang |
lat | Latitude | 29.5872 |
lon | Longitude | 105.0635 |
coordinates | Coordinates | 29.5872, 105.0635 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Sichuan |
population | Integer | 3,702,847 |
id | String | 1156516335 |
Field | Field type | Value |
---|---|---|
city | Page | Baicheng |
city_ascii | Text | Baicheng |
lat | Latitude | 23.901 |
lon | Longitude | 106.6194 |
coordinates | Coordinates | 23.901, 106.6194 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Guangxi |
population | Integer | 3,669,400 |
id | String | 1156981113 |
Field | Field type | Value |
---|---|---|
city | Page | Berlin |
city_ascii | Text | Berlin |
lat | Latitude | 52.5167 |
lon | Longitude | 13.3833 |
coordinates | Coordinates | 52.5167, 13.3833 |
country | Page | Germany |
iso2 | String | DE |
iso3 | String | DEU |
admin_name | Page | Berlin |
population | Integer | 3,664,088 |
id | String | 1276451290 |
Field | Field type | Value |
---|---|---|
city | Page | Anshan |
city_ascii | Text | Anshan |
lat | Latitude | 41.1066 |
lon | Longitude | 122.9895 |
coordinates | Coordinates | 41.1066, 122.9895 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Liaoning |
population | Integer | 3,645,884 |
id | String | 1156901825 |
Field | Field type | Value |
---|---|---|
city | Page | Lanzhou |
city_ascii | Text | Lanzhou |
lat | Latitude | 36.0617 |
lon | Longitude | 103.8318 |
coordinates | Coordinates | 36.0617, 103.8318 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Gansu |
population | Integer | 3,616,163 |
id | String | 1156280566 |
Field | Field type | Value |
---|---|---|
city | Page | Puyang |
city_ascii | Text | Puyang |
lat | Latitude | 35.7639 |
lon | Longitude | 115.03 |
coordinates | Coordinates | 35.7639, 115.03 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Henan |
population | Integer | 3,598,740 |
id | String | 1156431924 |
Field | Field type | Value |
---|---|---|
city | Page | San Francisco |
city_ascii | Text | San Francisco |
lat | Latitude | 37.7562 |
lon | Longitude | -122.443 |
coordinates | Coordinates | 37.7562, -122.443 |
country | Page | United States |
iso2 | String | US |
iso3 | String | USA |
admin_name | Page | California |
population | Integer | 3,592,294 |
id | String | 1840021543 |
Field | Field type | Value |
---|---|---|
city | Page | Jiaozuo |
city_ascii | Text | Jiaozuo |
lat | Latitude | 35.229 |
lon | Longitude | 113.2304 |
coordinates | Coordinates | 35.229, 113.2304 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Henan |
population | Integer | 3,590,700 |
id | String | 1156157854 |
Field | Field type | Value |
---|---|---|
city | Page | Hechi |
city_ascii | Text | Hechi |
lat | Latitude | 24.6928 |
lon | Longitude | 108.085 |
coordinates | Coordinates | 24.6928, 108.085 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Guangxi |
population | Integer | 3,545,700 |
id | String | 1156167204 |
Field | Field type | Value |
---|---|---|
city | Page | Montréal |
city_ascii | Text | Montreal |
lat | Latitude | 45.5089 |
lon | Longitude | -73.5617 |
coordinates | Coordinates | 45.5089, -73.5617 |
country | Page | Canada |
iso2 | String | CA |
iso3 | String | CAN |
admin_name | Page | Quebec |
population | Integer | 3,519,595 |
id | String | 1124586170 |
Field | Field type | Value |
---|---|---|
city | Page | Detroit |
city_ascii | Text | Detroit |
lat | Latitude | 42.3834 |
lon | Longitude | -83.1024 |
coordinates | Coordinates | 42.3834, -83.1024 |
country | Page | United States |
iso2 | String | US |
iso3 | String | USA |
admin_name | Page | Michigan |
population | Integer | 3,506,126 |
id | String | 1840003971 |
Field | Field type | Value |
---|---|---|
city | Page | Chengde |
city_ascii | Text | Chengde |
lat | Latitude | 40.9739 |
lon | Longitude | 117.9322 |
coordinates | Coordinates | 40.9739, 117.9322 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Hebei |
population | Integer | 3,473,201 |
id | String | 1156197800 |
Field | Field type | Value |
---|---|---|
city | Page | Busan |
city_ascii | Text | Busan |
lat | Latitude | 35.1 |
lon | Longitude | 129.0403 |
coordinates | Coordinates | 35.1, 129.0403 |
country | Page | South Korea |
iso2 | String | KR |
iso3 | String | KOR |
admin_name | Page | Busan |
population | Integer | 3,453,198 |
id | String | 1410601465 |
Field | Field type | Value |
---|---|---|
city | Page | Algiers |
city_ascii | Text | Algiers |
lat | Latitude | 36.7764 |
lon | Longitude | 3.0586 |
coordinates | Coordinates | 36.7764, 3.0586 |
country | Page | Algeria |
iso2 | String | DZ |
iso3 | String | DZA |
admin_name | Page | Alger |
population | Integer | 3,415,811 |
id | String | 1012973369 |
Field | Field type | Value |
---|---|---|
city | Page | Hanzhong |
city_ascii | Text | Hanzhong |
lat | Latitude | 33.0794 |
lon | Longitude | 107.026 |
coordinates | Coordinates | 33.0794, 107.026 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Shaanxi |
population | Integer | 3,416,196 |
id | String | 1156382678 |
Field | Field type | Value |
---|---|---|
city | Page | Shiyan |
city_ascii | Text | Shiyan |
lat | Latitude | 32.6351 |
lon | Longitude | 110.7755 |
coordinates | Coordinates | 32.6351, 110.7755 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Hubei |
population | Integer | 3,398,000 |
id | String | 1156383921 |
Field | Field type | Value |
---|---|---|
city | Page | Lucknow |
city_ascii | Text | Lucknow |
lat | Latitude | 26.847 |
lon | Longitude | 80.947 |
coordinates | Coordinates | 26.847, 80.947 |
country | Page | India |
iso2 | String | IN |
iso3 | String | IND |
admin_name | Page | Uttar Pradesh |
population | Integer | 3,382,000 |
id | String | 1356891790 |
Field | Field type | Value |
---|---|---|
city | Page | Siping |
city_ascii | Text | Siping |
lat | Latitude | 43.1715 |
lon | Longitude | 124.3644 |
coordinates | Coordinates | 43.1715, 124.3644 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Jilin |
population | Integer | 3,385,156 |
id | String | 1156063295 |
Field | Field type | Value |
---|---|---|
city | Page | Yulinshi |
city_ascii | Text | Yulinshi |
lat | Latitude | 38.2655 |
lon | Longitude | 109.7388 |
coordinates | Coordinates | 38.2655, 109.7388 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Shaanxi |
population | Integer | 3,351,436 |
id | String | 1156280672 |
Field | Field type | Value |
---|---|---|
city | Page | Changzhi |
city_ascii | Text | Changzhi |
lat | Latitude | 36.1953 |
lon | Longitude | 113.097 |
coordinates | Coordinates | 36.1953, 113.097 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Shanxi |
population | Integer | 3,334,565 |
id | String | 1156057944 |
Field | Field type | Value |
---|---|---|
city | Page | Qinzhou |
city_ascii | Text | Qinzhou |
lat | Latitude | 21.95 |
lon | Longitude | 108.6167 |
coordinates | Coordinates | 21.95, 108.6167 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Guangxi |
population | Integer | 3,304,400 |
id | String | 1156106602 |
Field | Field type | Value |
---|---|---|
city | Page | Bazhou |
city_ascii | Text | Bazhou |
lat | Latitude | 31.8576 |
lon | Longitude | 106.7559 |
coordinates | Coordinates | 31.8576, 106.7559 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Sichuan |
population | Integer | 3,283,148 |
id | String | 1156271365 |
Field | Field type | Value |
---|---|---|
city | Page | Qincheng |
city_ascii | Text | Qincheng |
lat | Latitude | 34.5809 |
lon | Longitude | 105.7311 |
coordinates | Coordinates | 34.5809, 105.7311 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Gansu |
population | Integer | 3,262,549 |
id | String | 1156104017 |
Field | Field type | Value |
---|---|---|
city | Page | Zhongshan |
city_ascii | Text | Zhongshan |
lat | Latitude | 22.5333 |
lon | Longitude | 113.35 |
coordinates | Coordinates | 22.5333, 113.35 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Guangdong |
population | Integer | 3,260,000 |
id | String | 1156579621 |
Field | Field type | Value |
---|---|---|
city | Page | Suining |
city_ascii | Text | Suining |
lat | Latitude | 30.5098 |
lon | Longitude | 105.5737 |
coordinates | Coordinates | 30.5098, 105.5737 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Sichuan |
population | Integer | 3,252,619 |
id | String | 1156655650 |
Field | Field type | Value |
---|---|---|
city | Page | Leshan |
city_ascii | Text | Leshan |
lat | Latitude | 29.5854 |
lon | Longitude | 103.7575 |
coordinates | Coordinates | 29.5854, 103.7575 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Sichuan |
population | Integer | 3,235,759 |
id | String | 1156203130 |
Field | Field type | Value |
---|---|---|
city | Page | San Diego |
city_ascii | Text | San Diego |
lat | Latitude | 32.8312 |
lon | Longitude | -117.1225 |
coordinates | Coordinates | 32.8312, -117.1225 |
country | Page | United States |
iso2 | String | US |
iso3 | String | USA |
admin_name | Page | California |
population | Integer | 3,220,118 |
id | String | 1840021990 |
Field | Field type | Value |
---|---|---|
city | Page | Faisalabad |
city_ascii | Text | Faisalabad |
lat | Latitude | 31.418 |
lon | Longitude | 73.079 |
coordinates | Coordinates | 31.418, 73.079 |
country | Page | Pakistan |
iso2 | String | PK |
iso3 | String | PAK |
admin_name | Page | Punjab |
population | Integer | 3,203,846 |
id | String | 1586323916 |
Field | Field type | Value |
---|---|---|
city | Page | Guang’an |
city_ascii | Text | Guang'an |
lat | Latitude | 30.4673 |
lon | Longitude | 106.6336 |
coordinates | Coordinates | 30.4673, 106.6336 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Sichuan |
population | Integer | 3,205,476 |
id | String | 1156377302 |
Field | Field type | Value |
---|---|---|
city | Page | Tongren |
city_ascii | Text | Tongren |
lat | Latitude | 27.7233 |
lon | Longitude | 109.1885 |
coordinates | Coordinates | 27.7233, 109.1885 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Guizhou |
population | Integer | 3,168,800 |
id | String | 1156803442 |
Field | Field type | Value |
---|---|---|
city | Page | Bengbu |
city_ascii | Text | Bengbu |
lat | Latitude | 32.9354 |
lon | Longitude | 117.3531 |
coordinates | Coordinates | 32.9354, 117.3531 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Anhui |
population | Integer | 3,164,467 |
id | String | 1156440668 |
Field | Field type | Value |
---|---|---|
city | Page | Santa Cruz |
city_ascii | Text | Santa Cruz |
lat | Latitude | -17.7892 |
lon | Longitude | -63.1975 |
coordinates | Coordinates | -17.7892, -63.1975 |
country | Page | Bolivia |
iso2 | String | BO |
iso3 | String | BOL |
admin_name | Page | Santa Cruz |
population | Integer | 3,151,676 |
id | String | 1068129363 |
Field | Field type | Value |
---|---|---|
city | Page | Qinhuangdao |
city_ascii | Text | Qinhuangdao |
lat | Latitude | 39.9398 |
lon | Longitude | 119.5881 |
coordinates | Coordinates | 39.9398, 119.5881 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Hebei |
population | Integer | 3,146,300 |
id | String | 1156091093 |
Field | Field type | Value |
---|---|---|
city | Page | Tongliao |
city_ascii | Text | Tongliao |
lat | Latitude | 43.6172 |
lon | Longitude | 122.264 |
coordinates | Coordinates | 43.6172, 122.264 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Inner Mongolia |
population | Integer | 3,139,153 |
id | String | 1156358686 |
Field | Field type | Value |
---|---|---|
city | Page | Jinzhou |
city_ascii | Text | Jinzhou |
lat | Latitude | 41.1144 |
lon | Longitude | 121.1292 |
coordinates | Coordinates | 41.1144, 121.1292 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Liaoning |
population | Integer | 3,126,463 |
id | String | 1156157151 |
Field | Field type | Value |
---|---|---|
city | Page | Zhenjiang |
city_ascii | Text | Zhenjiang |
lat | Latitude | 32.2109 |
lon | Longitude | 119.4551 |
coordinates | Coordinates | 32.2109, 119.4551 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Jiangsu |
population | Integer | 3,113,384 |
id | String | 1156934125 |
Field | Field type | Value |
---|---|---|
city | Page | Ürümqi |
city_ascii | Text | Urumqi |
lat | Latitude | 43.8225 |
lon | Longitude | 87.6125 |
coordinates | Coordinates | 43.8225, 87.6125 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Xinjiang |
population | Integer | 3,112,559 |
id | String | 1156051276 |
Field | Field type | Value |
---|---|---|
city | Page | Heyuan |
city_ascii | Text | Heyuan |
lat | Latitude | 23.7503 |
lon | Longitude | 114.6923 |
coordinates | Coordinates | 23.7503, 114.6923 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Guangdong |
population | Integer | 3,093,900 |
id | String | 1156665165 |
Field | Field type | Value |
---|---|---|
city | Page | Jaipur |
city_ascii | Text | Jaipur |
lat | Latitude | 26.9167 |
lon | Longitude | 75.8667 |
coordinates | Coordinates | 26.9167, 75.8667 |
country | Page | India |
iso2 | String | IN |
iso3 | String | IND |
admin_name | Page | Rājasthān |
population | Integer | 3,073,350 |
id | String | 1356293537 |
Field | Field type | Value |
---|---|---|
city | Page | Xinzhou |
city_ascii | Text | Xinzhou |
lat | Latitude | 38.4178 |
lon | Longitude | 112.7233 |
coordinates | Coordinates | 38.4178, 112.7233 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Shanxi |
population | Integer | 3,067,501 |
id | String | 1156617534 |
Field | Field type | Value |
---|---|---|
city | Page | Wuzhou |
city_ascii | Text | Wuzhou |
lat | Latitude | 23.4833 |
lon | Longitude | 111.3167 |
coordinates | Coordinates | 23.4833, 111.3167 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Guangxi |
population | Integer | 3,061,100 |
id | String | 1156620133 |
Field | Field type | Value |
---|---|---|
city | Page | Addis Ababa |
city_ascii | Text | Addis Ababa |
lat | Latitude | 9.0272 |
lon | Longitude | 38.7369 |
coordinates | Coordinates | 9.0272, 38.7369 |
country | Page | Ethiopia |
iso2 | String | ET |
iso3 | String | ETH |
admin_name | Page | Ādīs Ābeba |
population | Integer | 3,041,002 |
id | String | 1231824991 |
Field | Field type | Value |
---|---|---|
city | Page | Chaoyang |
city_ascii | Text | Chaoyang |
lat | Latitude | 41.5757 |
lon | Longitude | 120.4486 |
coordinates | Coordinates | 41.5757, 120.4486 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Liaoning |
population | Integer | 3,044,641 |
id | String | 1156706927 |
Field | Field type | Value |
---|---|---|
city | Page | Brasília |
city_ascii | Text | Brasilia |
lat | Latitude | -15.7939 |
lon | Longitude | -47.8828 |
coordinates | Coordinates | -15.7939, -47.8828 |
country | Page | Brazil |
iso2 | String | BR |
iso3 | String | BRA |
admin_name | Page | Distrito Federal |
population | Integer | 3,015,268 |
id | String | 1076144436 |
Field | Field type | Value |
---|---|---|
city | Page | Mashhad |
city_ascii | Text | Mashhad |
lat | Latitude | 36.3069 |
lon | Longitude | 59.6042 |
coordinates | Coordinates | 36.3069, 59.6042 |
country | Page | Iran |
iso2 | String | IR |
iso3 | String | IRN |
admin_name | Page | Khorāsān-e Raẕavī |
population | Integer | 3,001,184 |
id | String | 1364123206 |
Field | Field type | Value |
---|---|---|
city | Page | Shaoguan |
city_ascii | Text | Shaoguan |
lat | Latitude | 24.8011 |
lon | Longitude | 113.5927 |
coordinates | Coordinates | 24.8011, 113.5927 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Guangdong |
population | Integer | 2,997,600 |
id | String | 1156617066 |
Field | Field type | Value |
---|---|---|
city | Page | Kuwait City |
city_ascii | Text | Kuwait City |
lat | Latitude | 29.375 |
lon | Longitude | 47.98 |
coordinates | Coordinates | 29.375, 47.98 |
country | Page | Kuwait |
iso2 | String | KW |
iso3 | String | KWT |
admin_name | Page | Al ‘Āşimah |
population | Integer | 2,989,000 |
id | String | 1414102075 |
Field | Field type | Value |
---|---|---|
city | Page | Shanwei |
city_ascii | Text | Shanwei |
lat | Latitude | 22.7664 |
lon | Longitude | 115.3331 |
coordinates | Coordinates | 22.7664, 115.3331 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Guangdong |
population | Integer | 2,993,600 |
id | String | 1156939010 |
Field | Field type | Value |
---|---|---|
city | Page | Quezon City |
city_ascii | Text | Quezon City |
lat | Latitude | 14.6333 |
lon | Longitude | 121.0333 |
coordinates | Coordinates | 14.6333, 121.0333 |
country | Page | Philippines |
iso2 | String | PH |
iso3 | String | PHL |
admin_name | Page | Quezon |
population | Integer | 2,960,048 |
id | String | 1608974097 |
Field | Field type | Value |
---|---|---|
city | Page | Minneapolis |
city_ascii | Text | Minneapolis |
lat | Latitude | 44.9635 |
lon | Longitude | -93.2678 |
coordinates | Coordinates | 44.9635, -93.2678 |
country | Page | United States |
iso2 | String | US |
iso3 | String | USA |
admin_name | Page | Minnesota |
population | Integer | 2,977,172 |
id | String | 1840007830 |
Field | Field type | Value |
---|---|---|
city | Page | Kyiv |
city_ascii | Text | Kyiv |
lat | Latitude | 50.45 |
lon | Longitude | 30.5236 |
coordinates | Coordinates | 50.45, 30.5236 |
country | Page | Ukraine |
iso2 | String | UA |
iso3 | String | UKR |
admin_name | Page | Kyyiv, Misto |
population | Integer | 2,963,199 |
id | String | 1804382913 |
Field | Field type | Value |
---|---|---|
city | Page | Sanaa |
city_ascii | Text | Sanaa |
lat | Latitude | 15.35 |
lon | Longitude | 44.2 |
coordinates | Coordinates | 15.35, 44.2 |
country | Page | Yemen |
iso2 | String | YE |
iso3 | String | YEM |
admin_name | Page | Amānat al ‘Āşimah |
population | Integer | 2,957,000 |
id | String | 1887750814 |
Field | Field type | Value |
---|---|---|
city | Page | Meishan |
city_ascii | Text | Meishan |
lat | Latitude | 30.0575 |
lon | Longitude | 103.8381 |
coordinates | Coordinates | 30.0575, 103.8381 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Sichuan |
population | Integer | 2,950,545 |
id | String | 1156185501 |
Field | Field type | Value |
---|---|---|
city | Page | Guatemala City |
city_ascii | Text | Guatemala City |
lat | Latitude | 14.6099 |
lon | Longitude | -90.5252 |
coordinates | Coordinates | 14.6099, -90.5252 |
country | Page | Guatemala |
iso2 | String | GT |
iso3 | String | GTM |
admin_name | Page | Guatemala |
population | Integer | 2,934,841 |
id | String | 1320197916 |
Field | Field type | Value |
---|---|---|
city | Page | Incheon |
city_ascii | Text | Incheon |
lat | Latitude | 37.4639 |
lon | Longitude | 126.6486 |
coordinates | Coordinates | 37.4639, 126.6486 |
country | Page | South Korea |
iso2 | String | KR |
iso3 | String | KOR |
admin_name | Page | Incheon |
population | Integer | 2,913,024 |
id | String | 1410160313 |
Field | Field type | Value |
---|---|---|
city | Page | Ningde |
city_ascii | Text | Ningde |
lat | Latitude | 26.6617 |
lon | Longitude | 119.5228 |
coordinates | Coordinates | 26.6617, 119.5228 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Fujian |
population | Integer | 2,910,000 |
id | String | 1156909802 |
Field | Field type | Value |
---|---|---|
city | Page | Tampa |
city_ascii | Text | Tampa |
lat | Latitude | 27.9942 |
lon | Longitude | -82.4451 |
coordinates | Coordinates | 27.9942, -82.4451 |
country | Page | United States |
iso2 | String | US |
iso3 | String | USA |
admin_name | Page | Florida |
population | Integer | 2,908,063 |
id | String | 1840015982 |
Field | Field type | Value |
---|---|---|
city | Page | Daqing |
city_ascii | Text | Daqing |
lat | Latitude | 46.5979 |
lon | Longitude | 125.008 |
coordinates | Coordinates | 46.5979, 125.008 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Heilongjiang |
population | Integer | 2,904,532 |
id | String | 1156403962 |
Field | Field type | Value |
---|---|---|
city | Page | Putian |
city_ascii | Text | Putian |
lat | Latitude | 25.4394 |
lon | Longitude | 119.0103 |
coordinates | Coordinates | 25.4394, 119.0103 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Fujian |
population | Integer | 2,900,000 |
id | String | 1156811601 |
Field | Field type | Value |
---|---|---|
city | Page | Bandung |
city_ascii | Text | Bandung |
lat | Latitude | -6.95 |
lon | Longitude | 107.5667 |
coordinates | Coordinates | -6.95, 107.5667 |
country | Page | Indonesia |
iso2 | String | ID |
iso3 | String | IDN |
admin_name | Page | Jawa Barat |
population | Integer | 2,875,673 |
id | String | 1360313023 |
Field | Field type | Value |
---|---|---|
city | Page | Surabaya |
city_ascii | Text | Surabaya |
lat | Latitude | -7.2458 |
lon | Longitude | 112.7378 |
coordinates | Coordinates | -7.2458, 112.7378 |
country | Page | Indonesia |
iso2 | String | ID |
iso3 | String | IDN |
admin_name | Page | Jawa Timur |
population | Integer | 2,885,555 |
id | String | 1360484663 |
Field | Field type | Value |
---|---|---|
city | Page | Salvador |
city_ascii | Text | Salvador |
lat | Latitude | -12.9708 |
lon | Longitude | -38.5108 |
coordinates | Coordinates | -12.9708, -38.5108 |
country | Page | Brazil |
iso2 | String | BR |
iso3 | String | BRA |
admin_name | Page | Bahia |
population | Integer | 2,886,698 |
id | String | 1076923789 |
Field | Field type | Value |
---|---|---|
city | Page | Denver |
city_ascii | Text | Denver |
lat | Latitude | 39.7621 |
lon | Longitude | -104.8759 |
coordinates | Coordinates | 39.7621, -104.8759 |
country | Page | United States |
iso2 | String | US |
iso3 | String | USA |
admin_name | Page | Colorado |
population | Integer | 2,876,625 |
id | String | 1840018789 |
Field | Field type | Value |
---|---|---|
city | Page | Rome |
city_ascii | Text | Rome |
lat | Latitude | 41.8931 |
lon | Longitude | 12.4828 |
coordinates | Coordinates | 41.8931, 12.4828 |
country | Page | Italy |
iso2 | String | IT |
iso3 | String | ITA |
admin_name | Page | Lazio |
population | Integer | 2,872,800 |
id | String | 1380382862 |
Field | Field type | Value |
---|---|---|
city | Page | La Paz |
city_ascii | Text | La Paz |
lat | Latitude | -16.4942 |
lon | Longitude | -68.1475 |
coordinates | Coordinates | -16.4942, -68.1475 |
country | Page | Bolivia |
iso2 | String | BO |
iso3 | String | BOL |
admin_name | Page | La Paz |
population | Integer | 2,867,504 |
id | String | 1068000064 |
Field | Field type | Value |
---|---|---|
city | Page | Hohhot |
city_ascii | Text | Hohhot |
lat | Latitude | 40.8151 |
lon | Longitude | 111.6629 |
coordinates | Coordinates | 40.8151, 111.6629 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Inner Mongolia |
population | Integer | 2,866,615 |
id | String | 1156210167 |
Field | Field type | Value |
---|---|---|
city | Page | Xiangtan |
city_ascii | Text | Xiangtan |
lat | Latitude | 27.8431 |
lon | Longitude | 112.9228 |
coordinates | Coordinates | 27.8431, 112.9228 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Hunan |
population | Integer | 2,864,800 |
id | String | 1156195684 |
Field | Field type | Value |
---|---|---|
city | Page | Pyongyang |
city_ascii | Text | Pyongyang |
lat | Latitude | 39.03 |
lon | Longitude | 125.73 |
coordinates | Coordinates | 39.03, 125.73 |
country | Page | North Korea |
iso2 | String | KP |
iso3 | String | PRK |
admin_name | Page | P’yŏngyang |
population | Integer | 2,863,000 |
id | String | 1408738594 |
Field | Field type | Value |
---|---|---|
city | Page | Taichung |
city_ascii | Text | Taichung |
lat | Latitude | 24.15 |
lon | Longitude | 120.6667 |
coordinates | Coordinates | 24.15, 120.6667 |
country | Page | Taiwan |
iso2 | String | TW |
iso3 | String | TWN |
admin_name | Page | Taichung |
population | Integer | 2,803,894 |
id | String | 1158689622 |
Field | Field type | Value |
---|---|---|
city | Page | Weihai |
city_ascii | Text | Weihai |
lat | Latitude | 37.5 |
lon | Longitude | 122.1 |
coordinates | Coordinates | 37.5, 122.1 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Shandong |
population | Integer | 2,804,771 |
id | String | 1156473300 |
Field | Field type | Value |
---|---|---|
city | Page | Rizhao |
city_ascii | Text | Rizhao |
lat | Latitude | 35.4164 |
lon | Longitude | 119.4331 |
coordinates | Coordinates | 35.4164, 119.4331 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Shandong |
population | Integer | 2,801,013 |
id | String | 1156032841 |
Field | Field type | Value |
---|---|---|
city | Page | Mudanjiang |
city_ascii | Text | Mudanjiang |
lat | Latitude | 44.5861 |
lon | Longitude | 129.5997 |
coordinates | Coordinates | 44.5861, 129.5997 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Heilongjiang |
population | Integer | 2,798,723 |
id | String | 1156249698 |
Field | Field type | Value |
---|---|---|
city | Page | Kaohsiung |
city_ascii | Text | Kaohsiung |
lat | Latitude | 22.6167 |
lon | Longitude | 120.3 |
coordinates | Coordinates | 22.6167, 120.3 |
country | Page | Taiwan |
iso2 | String | TW |
iso3 | String | TWN |
admin_name | Page | Kaohsiung |
population | Integer | 2,773,533 |
id | String | 1158331334 |
Field | Field type | Value |
---|---|---|
city | Page | Guayaquil |
city_ascii | Text | Guayaquil |
lat | Latitude | -2.19 |
lon | Longitude | -79.8875 |
coordinates | Coordinates | -2.19, -79.8875 |
country | Page | Ecuador |
iso2 | String | EC |
iso3 | String | ECU |
admin_name | Page | Guayas |
population | Integer | 2,723,665 |
id | String | 1218802178 |
Field | Field type | Value |
---|---|---|
city | Page | Tieling |
city_ascii | Text | Tieling |
lat | Latitude | 42.2841 |
lon | Longitude | 123.8365 |
coordinates | Coordinates | 42.2841, 123.8365 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Liaoning |
population | Integer | 2,717,732 |
id | String | 1156089994 |
Field | Field type | Value |
---|---|---|
city | Page | Cawnpore |
city_ascii | Text | Cawnpore |
lat | Latitude | 26.4725 |
lon | Longitude | 80.3311 |
coordinates | Coordinates | 26.4725, 80.3311 |
country | Page | India |
iso2 | String | IN |
iso3 | String | IND |
admin_name | Page | Uttar Pradesh |
population | Integer | 2,701,324 |
id | String | 1356575238 |
Field | Field type | Value |
---|---|---|
city | Page | Dingxi |
city_ascii | Text | Dingxi |
lat | Latitude | 35.5806 |
lon | Longitude | 104.6263 |
coordinates | Coordinates | 35.5806, 104.6263 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Gansu |
population | Integer | 2,698,624 |
id | String | 1156518274 |
Field | Field type | Value |
---|---|---|
city | Page | Taipei |
city_ascii | Text | Taipei |
lat | Latitude | 25.0478 |
lon | Longitude | 121.5319 |
coordinates | Coordinates | 25.0478, 121.5319 |
country | Page | Taiwan |
iso2 | String | TW |
iso3 | String | TWN |
admin_name | Page | Taipei |
population | Integer | 2,684,567 |
id | String | 1158881289 |
Field | Field type | Value |
---|---|---|
city | Page | Nanping |
city_ascii | Text | Nanping |
lat | Latitude | 26.6448 |
lon | Longitude | 118.1728 |
coordinates | Coordinates | 26.6448, 118.1728 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Fujian |
population | Integer | 2,690,000 |
id | String | 1156927445 |
Field | Field type | Value |
---|---|---|
city | Page | Zigong |
city_ascii | Text | Zigong |
lat | Latitude | 29.3498 |
lon | Longitude | 104.7645 |
coordinates | Coordinates | 29.3498, 104.7645 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Sichuan |
population | Integer | 2,678,899 |
id | String | 1156023354 |
Field | Field type | Value |
---|---|---|
city | Page | Chaozhou |
city_ascii | Text | Chaozhou |
lat | Latitude | 23.67 |
lon | Longitude | 116.63 |
coordinates | Coordinates | 23.67, 116.63 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Guangdong |
population | Integer | 2,656,600 |
id | String | 1156549118 |
Field | Field type | Value |
---|---|---|
city | Page | Baotou |
city_ascii | Text | Baotou |
lat | Latitude | 40.6562 |
lon | Longitude | 109.8345 |
coordinates | Coordinates | 40.6562, 109.8345 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Inner Mongolia |
population | Integer | 2,650,364 |
id | String | 1156032751 |
Field | Field type | Value |
---|---|---|
city | Page | Gulou |
city_ascii | Text | Gulou |
lat | Latitude | 26.0819 |
lon | Longitude | 119.2981 |
coordinates | Coordinates | 26.0819, 119.2981 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Fujian |
population | Integer | 2,606,000 |
id | String | 1156680279 |
Field | Field type | Value |
---|---|---|
city | Page | Longyan |
city_ascii | Text | Longyan |
lat | Latitude | 25.0881 |
lon | Longitude | 117.0244 |
coordinates | Coordinates | 25.0881, 117.0244 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Fujian |
population | Integer | 2,640,000 |
id | String | 1156012979 |
Field | Field type | Value |
---|---|---|
city | Page | Ankang |
city_ascii | Text | Ankang |
lat | Latitude | 32.6877 |
lon | Longitude | 109.0235 |
coordinates | Coordinates | 32.6877, 109.0235 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Shaanxi |
population | Integer | 2,629,906 |
id | String | 1156255711 |
Field | Field type | Value |
---|---|---|
city | Page | Baoshan |
city_ascii | Text | Baoshan |
lat | Latitude | 25.1211 |
lon | Longitude | 99.169 |
coordinates | Coordinates | 25.1211, 99.169 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Yunnan |
population | Integer | 2,627,000 |
id | String | 1156546994 |
Field | Field type | Value |
---|---|---|
city | Page | Huludao |
city_ascii | Text | Huludao |
lat | Latitude | 40.7094 |
lon | Longitude | 120.8378 |
coordinates | Coordinates | 40.7094, 120.8378 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Liaoning |
population | Integer | 2,623,541 |
id | String | 1156580218 |
Field | Field type | Value |
---|---|---|
city | Page | Antananarivo |
city_ascii | Text | Antananarivo |
lat | Latitude | -18.9386 |
lon | Longitude | 47.5214 |
coordinates | Coordinates | -18.9386, 47.5214 |
country | Page | Madagascar |
iso2 | String | MG |
iso3 | String | MDG |
admin_name | Page | Antananarivo |
population | Integer | 2,610,000 |
id | String | 1450978461 |
Field | Field type | Value |
---|---|---|
city | Page | Yanjiang |
city_ascii | Text | Yanjiang |
lat | Latitude | 30.1256 |
lon | Longitude | 104.6397 |
coordinates | Coordinates | 30.1256, 104.6397 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Sichuan |
population | Integer | 2,593,843 |
id | String | 1156217114 |
Field | Field type | Value |
---|---|---|
city | Page | Chattogram |
city_ascii | Text | Chattogram |
lat | Latitude | 22.335 |
lon | Longitude | 91.8325 |
coordinates | Coordinates | 22.335, 91.8325 |
country | Page | Bangladesh |
iso2 | String | BD |
iso3 | String | BGD |
admin_name | Page | Chittagong |
population | Integer | 2,581,643 |
id | String | 1050830722 |
Field | Field type | Value |
---|---|---|
city | Page | Santo Domingo |
city_ascii | Text | Santo Domingo |
lat | Latitude | 18.4764 |
lon | Longitude | -69.8933 |
coordinates | Coordinates | 18.4764, -69.8933 |
country | Page | Dominican Republic |
iso2 | String | DO |
iso3 | String | DOM |
admin_name | Page | Ozama |
population | Integer | 2,581,827 |
id | String | 1214636202 |
Field | Field type | Value |
---|---|---|
city | Page | Sanming |
city_ascii | Text | Sanming |
lat | Latitude | 26.2658 |
lon | Longitude | 117.6302 |
coordinates | Coordinates | 26.2658, 117.6302 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Fujian |
population | Integer | 2,580,000 |
id | String | 1156294429 |
Field | Field type | Value |
---|---|---|
city | Page | Longba |
city_ascii | Text | Longba |
lat | Latitude | 33.535 |
lon | Longitude | 105.349 |
coordinates | Coordinates | 33.535, 105.349 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Gansu |
population | Integer | 2,567,718 |
id | String | 1156633259 |
Field | Field type | Value |
---|---|---|
city | Page | Brooklyn |
city_ascii | Text | Brooklyn |
lat | Latitude | 40.6501 |
lon | Longitude | -73.9496 |
coordinates | Coordinates | 40.6501, -73.9496 |
country | Page | United States |
iso2 | String | US |
iso3 | String | USA |
admin_name | Page | New York |
population | Integer | 2,559,903 |
id | String | 1840034030 |
Field | Field type | Value |
---|---|---|
city | Page | Yangjiang |
city_ascii | Text | Yangjiang |
lat | Latitude | 21.8556 |
lon | Longitude | 111.9627 |
coordinates | Coordinates | 21.8556, 111.9627 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Guangdong |
population | Integer | 2,555,600 |
id | String | 1156123172 |
Field | Field type | Value |
---|---|---|
city | Page | Jiamusi |
city_ascii | Text | Jiamusi |
lat | Latitude | 46.8081 |
lon | Longitude | 130.3653 |
coordinates | Coordinates | 46.8081, 130.3653 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Heilongjiang |
population | Integer | 2,552,097 |
id | String | 1156350864 |
Field | Field type | Value |
---|---|---|
city | Page | Ibadan |
city_ascii | Text | Ibadan |
lat | Latitude | 7.3964 |
lon | Longitude | 3.9167 |
coordinates | Coordinates | 7.3964, 3.9167 |
country | Page | Nigeria |
iso2 | String | NG |
iso3 | String | NGA |
admin_name | Page | Oyo |
population | Integer | 2,550,593 |
id | String | 1566366407 |
Field | Field type | Value |
---|---|---|
city | Page | Luohe |
city_ascii | Text | Luohe |
lat | Latitude | 33.583 |
lon | Longitude | 114.0109 |
coordinates | Coordinates | 33.583, 114.0109 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Henan |
population | Integer | 2,544,266 |
id | String | 1156330876 |
Field | Field type | Value |
---|---|---|
city | Page | Lincang |
city_ascii | Text | Lincang |
lat | Latitude | 23.8864 |
lon | Longitude | 100.0871 |
coordinates | Coordinates | 23.8864, 100.0871 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Yunnan |
population | Integer | 2,536,000 |
id | String | 1156044130 |
Field | Field type | Value |
---|---|---|
city | Page | Medellín |
city_ascii | Text | Medellin |
lat | Latitude | 6.2447 |
lon | Longitude | -75.5748 |
coordinates | Coordinates | 6.2447, -75.5748 |
country | Page | Colombia |
iso2 | String | CO |
iso3 | String | COL |
admin_name | Page | Antioquia |
population | Integer | 2,529,403 |
id | String | 1170680389 |
Field | Field type | Value |
---|---|---|
city | Page | Xuanzhou |
city_ascii | Text | Xuanzhou |
lat | Latitude | 30.9475 |
lon | Longitude | 118.7518 |
coordinates | Coordinates | 30.9475, 118.7518 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Anhui |
population | Integer | 2,532,938 |
id | String | 1156424311 |
Field | Field type | Value |
---|---|---|
city | Page | Yunfu |
city_ascii | Text | Yunfu |
lat | Latitude | 22.9242 |
lon | Longitude | 112.0353 |
coordinates | Coordinates | 22.9242, 112.0353 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Guangdong |
population | Integer | 2,526,900 |
id | String | 1156057251 |
Field | Field type | Value |
---|---|---|
city | Page | Dubai |
city_ascii | Text | Dubai |
lat | Latitude | 25.2697 |
lon | Longitude | 55.3094 |
coordinates | Coordinates | 25.2697, 55.3094 |
country | Page | United Arab Emirates |
iso2 | String | AE |
iso3 | String | ARE |
admin_name | Page | Dubayy |
population | Integer | 2,502,715 |
id | String | 1784736618 |
Field | Field type | Value |
---|---|---|
city | Page | Mirzāpur |
city_ascii | Text | Mirzapur |
lat | Latitude | 25.15 |
lon | Longitude | 82.58 |
coordinates | Coordinates | 25.15, 82.58 |
country | Page | India |
iso2 | String | IN |
iso3 | String | IND |
admin_name | Page | Uttar Pradesh |
population | Integer | 2,496,970 |
id | String | 1356427908 |
Field | Field type | Value |
---|---|---|
city | Page | Tashkent |
city_ascii | Text | Tashkent |
lat | Latitude | 41.3 |
lon | Longitude | 69.2667 |
coordinates | Coordinates | 41.3, 69.2667 |
country | Page | Uzbekistan |
iso2 | String | UZ |
iso3 | String | UZB |
admin_name | Page | Toshkent |
population | Integer | 2,497,900 |
id | String | 1860331871 |
Field | Field type | Value |
---|---|---|
city | Page | Guangyuan |
city_ascii | Text | Guangyuan |
lat | Latitude | 32.4353 |
lon | Longitude | 105.8398 |
coordinates | Coordinates | 32.4353, 105.8398 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Sichuan |
population | Integer | 2,484,122 |
id | String | 1156084562 |
Field | Field type | Value |
---|---|---|
city | Page | Cali |
city_ascii | Text | Cali |
lat | Latitude | 3.44 |
lon | Longitude | -76.5197 |
coordinates | Coordinates | 3.44, -76.5197 |
country | Page | Colombia |
iso2 | String | CO |
iso3 | String | COL |
admin_name | Page | Valle del Cauca |
population | Integer | 2,471,474 |
id | String | 1170417589 |
Field | Field type | Value |
---|---|---|
city | Page | Huangshi |
city_ascii | Text | Huangshi |
lat | Latitude | 30.2018 |
lon | Longitude | 115.0326 |
coordinates | Coordinates | 30.2018, 115.0326 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Hubei |
population | Integer | 2,471,700 |
id | String | 1156234290 |
Field | Field type | Value |
---|---|---|
city | Page | Ouagadougou |
city_ascii | Text | Ouagadougou |
lat | Latitude | 12.3686 |
lon | Longitude | -1.5275 |
coordinates | Coordinates | 12.3686, -1.5275 |
country | Page | Burkina Faso |
iso2 | String | BF |
iso3 | String | BFA |
admin_name | Page | Centre |
population | Integer | 2,453,496 |
id | String | 1854029208 |
Field | Field type | Value |
---|---|---|
city | Page | Daegu |
city_ascii | Text | Daegu |
lat | Latitude | 35.8667 |
lon | Longitude | 128.6 |
coordinates | Coordinates | 35.8667, 128.6 |
country | Page | South Korea |
iso2 | String | KR |
iso3 | String | KOR |
admin_name | Page | Daegu |
population | Integer | 2,461,002 |
id | String | 1410095252 |
Field | Field type | Value |
---|---|---|
city | Page | Fortaleza |
city_ascii | Text | Fortaleza |
lat | Latitude | -3.7275 |
lon | Longitude | -38.5275 |
coordinates | Coordinates | -3.7275, -38.5275 |
country | Page | Brazil |
iso2 | String | BR |
iso3 | String | BRA |
admin_name | Page | Ceará |
population | Integer | 2,452,185 |
id | String | 1076567885 |
Field | Field type | Value |
---|---|---|
city | Page | Yaoundé |
city_ascii | Text | Yaounde |
lat | Latitude | 3.8578 |
lon | Longitude | 11.5181 |
coordinates | Coordinates | 3.8578, 11.5181 |
country | Page | Cameroon |
iso2 | String | CM |
iso3 | String | CMR |
admin_name | Page | Centre |
population | Integer | 2,440,462 |
id | String | 1120298240 |
Field | Field type | Value |
---|---|---|
city | Page | Douala |
city_ascii | Text | Douala |
lat | Latitude | 4.05 |
lon | Longitude | 9.7 |
coordinates | Coordinates | 4.05, 9.7 |
country | Page | Cameroon |
iso2 | String | CM |
iso3 | String | CMR |
admin_name | Page | Littoral |
population | Integer | 2,446,945 |
id | String | 1120494607 |
Field | Field type | Value |
---|---|---|
city | Page | Jilin |
city_ascii | Text | Jilin |
lat | Latitude | 43.8519 |
lon | Longitude | 126.5481 |
coordinates | Coordinates | 43.8519, 126.5481 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Jilin |
population | Integer | 2,396,000 |
id | String | 1156646448 |
Field | Field type | Value |
---|---|---|
city | Page | Dandong |
city_ascii | Text | Dandong |
lat | Latitude | 40.1167 |
lon | Longitude | 124.3833 |
coordinates | Coordinates | 40.1167, 124.3833 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Liaoning |
population | Integer | 2,444,697 |
id | String | 1156178316 |
Field | Field type | Value |
---|---|---|
city | Page | Lianshan |
city_ascii | Text | Lianshan |
lat | Latitude | 40.7523 |
lon | Longitude | 120.828 |
coordinates | Coordinates | 40.7523, 120.828 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Liaoning |
population | Integer | 2,426,000 |
id | String | 1156046704 |
Field | Field type | Value |
---|---|---|
city | Page | Yingkou |
city_ascii | Text | Yingkou |
lat | Latitude | 40.6653 |
lon | Longitude | 122.2297 |
coordinates | Coordinates | 40.6653, 122.2297 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Liaoning |
population | Integer | 2,428,534 |
id | String | 1156257074 |
Field | Field type | Value |
---|---|---|
city | Page | Nāgpur |
city_ascii | Text | Nagpur |
lat | Latitude | 21.1539 |
lon | Longitude | 79.0831 |
coordinates | Coordinates | 21.1539, 79.0831 |
country | Page | India |
iso2 | String | IN |
iso3 | String | IND |
admin_name | Page | Mahārāshtra |
population | Integer | 2,405,665 |
id | String | 1356365743 |
Field | Field type | Value |
---|---|---|
city | Page | Omdurman |
city_ascii | Text | Omdurman |
lat | Latitude | 15.6167 |
lon | Longitude | 32.48 |
coordinates | Coordinates | 15.6167, 32.48 |
country | Page | Sudan |
iso2 | String | SD |
iso3 | String | SDN |
admin_name | Page | Khartoum |
population | Integer | 2,395,159 |
id | String | 1729912179 |
Field | Field type | Value |
---|---|---|
city | Page | Bekasi |
city_ascii | Text | Bekasi |
lat | Latitude | -6.2333 |
lon | Longitude | 107 |
coordinates | Coordinates | -6.2333, 107 |
country | Page | Indonesia |
iso2 | String | ID |
iso3 | String | IDN |
admin_name | Page | Jawa Barat |
population | Integer | 2,381,053 |
id | String | 1360006015 |
Field | Field type | Value |
---|---|---|
city | Page | Ghāziābād |
city_ascii | Text | Ghaziabad |
lat | Latitude | 28.6667 |
lon | Longitude | 77.4167 |
coordinates | Coordinates | 28.6667, 77.4167 |
country | Page | India |
iso2 | String | IN |
iso3 | String | IND |
admin_name | Page | Uttar Pradesh |
population | Integer | 2,375,820 |
id | String | 1356691871 |
Field | Field type | Value |
---|---|---|
city | Page | Yuxi |
city_ascii | Text | Yuxi |
lat | Latitude | 24.3495 |
lon | Longitude | 102.5432 |
coordinates | Coordinates | 24.3495, 102.5432 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Yunnan |
population | Integer | 2,386,000 |
id | String | 1156682309 |
Field | Field type | Value |
---|---|---|
city | Page | Brisbane |
city_ascii | Text | Brisbane |
lat | Latitude | -27.4678 |
lon | Longitude | 153.0281 |
coordinates | Coordinates | -27.4678, 153.0281 |
country | Page | Australia |
iso2 | String | AU |
iso3 | String | AUS |
admin_name | Page | Queensland |
population | Integer | 2,360,241 |
id | String | 1036192929 |
Field | Field type | Value |
---|---|---|
city | Page | Anshun |
city_ascii | Text | Anshun |
lat | Latitude | 26.2456 |
lon | Longitude | 105.934 |
coordinates | Coordinates | 26.2456, 105.934 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Guizhou |
population | Integer | 2,353,100 |
id | String | 1156415948 |
Field | Field type | Value |
---|---|---|
city | Page | Depok |
city_ascii | Text | Depok |
lat | Latitude | -6.394 |
lon | Longitude | 106.8225 |
coordinates | Coordinates | -6.394, 106.8225 |
country | Page | Indonesia |
iso2 | String | ID |
iso3 | String | IDN |
admin_name | Page | Jawa Barat |
population | Integer | 2,330,333 |
id | String | 1360962899 |
Field | Field type | Value |
---|---|---|
city | Page | Shangzhou |
city_ascii | Text | Shangzhou |
lat | Latitude | 33.868 |
lon | Longitude | 109.9244 |
coordinates | Coordinates | 33.868, 109.9244 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Shaanxi |
population | Integer | 2,341,742 |
id | String | 1156091241 |
Field | Field type | Value |
---|---|---|
city | Page | Huainan |
city_ascii | Text | Huainan |
lat | Latitude | 32.4831 |
lon | Longitude | 117.0164 |
coordinates | Coordinates | 32.4831, 117.0164 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Anhui |
population | Integer | 2,333,896 |
id | String | 1156877299 |
Field | Field type | Value |
---|---|---|
city | Page | Kuaidamao |
city_ascii | Text | Kuaidamao |
lat | Latitude | 41.7302 |
lon | Longitude | 125.9471 |
coordinates | Coordinates | 41.7302, 125.9471 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Jilin |
population | Integer | 2,324,439 |
id | String | 1156106507 |
Field | Field type | Value |
---|---|---|
city | Page | Accra |
city_ascii | Text | Accra |
lat | Latitude | 5.6037 |
lon | Longitude | -0.187 |
coordinates | Coordinates | 5.6037, -0.187 |
country | Page | Ghana |
iso2 | String | GH |
iso3 | String | GHA |
admin_name | Page | Greater Accra |
population | Integer | 2,291,352 |
id | String | 1288299415 |
Field | Field type | Value |
---|---|---|
city | Page | Fukuoka |
city_ascii | Text | Fukuoka |
lat | Latitude | 33.6 |
lon | Longitude | 130.4167 |
coordinates | Coordinates | 33.6, 130.4167 |
country | Page | Japan |
iso2 | String | JP |
iso3 | String | JPN |
admin_name | Page | Fukuoka |
population | Integer | 2,280,000 |
id | String | 1392576294 |
Field | Field type | Value |
---|---|---|
city | Page | Jincheng |
city_ascii | Text | Jincheng |
lat | Latitude | 35.4906 |
lon | Longitude | 112.8483 |
coordinates | Coordinates | 35.4906, 112.8483 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Shanxi |
population | Integer | 2,279,146 |
id | String | 1156163376 |
Field | Field type | Value |
---|---|---|
city | Page | Vancouver |
city_ascii | Text | Vancouver |
lat | Latitude | 49.25 |
lon | Longitude | -123.1 |
coordinates | Coordinates | 49.25, -123.1 |
country | Page | Canada |
iso2 | String | CA |
iso3 | String | CAN |
admin_name | Page | British Columbia |
population | Integer | 2,264,823 |
id | String | 1124825478 |
Field | Field type | Value |
---|---|---|
city | Page | Tangerang |
city_ascii | Text | Tangerang |
lat | Latitude | -6.1783 |
lon | Longitude | 106.6319 |
coordinates | Coordinates | -6.1783, 106.6319 |
country | Page | Indonesia |
iso2 | String | ID |
iso3 | String | IDN |
admin_name | Page | Jawa Barat |
population | Integer | 2,237,006 |
id | String | 1360002844 |
Field | Field type | Value |
---|---|---|
city | Page | Sanmenxia |
city_ascii | Text | Sanmenxia |
lat | Latitude | 34.7736 |
lon | Longitude | 111.195 |
coordinates | Coordinates | 34.7736, 111.195 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Henan |
population | Integer | 2,234,018 |
id | String | 1156529682 |
Field | Field type | Value |
---|---|---|
city | Page | Laibin |
city_ascii | Text | Laibin |
lat | Latitude | 23.7333 |
lon | Longitude | 109.2333 |
coordinates | Coordinates | 23.7333, 109.2333 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Guangxi |
population | Integer | 2,233,900 |
id | String | 1156925734 |
Field | Field type | Value |
---|---|---|
city | Page | Queens |
city_ascii | Text | Queens |
lat | Latitude | 40.7498 |
lon | Longitude | -73.7976 |
coordinates | Coordinates | 40.7498, -73.7976 |
country | Page | United States |
iso2 | String | US |
iso3 | String | USA |
admin_name | Page | New York |
population | Integer | 2,230,722 |
id | String | 1840034002 |
Field | Field type | Value |
---|---|---|
city | Page | Qinbaling |
city_ascii | Text | Qinbaling |
lat | Latitude | 35.7278 |
lon | Longitude | 107.64 |
coordinates | Coordinates | 35.7278, 107.64 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Gansu |
population | Integer | 2,211,191 |
id | String | 1156032582 |
Field | Field type | Value |
---|---|---|
city | Page | Xining |
city_ascii | Text | Xining |
lat | Latitude | 36.6239 |
lon | Longitude | 101.7787 |
coordinates | Coordinates | 36.6239, 101.7787 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Qinghai |
population | Integer | 2,208,708 |
id | String | 1156081448 |
Field | Field type | Value |
---|---|---|
city | Page | Ma’anshan |
city_ascii | Text | Ma'anshan |
lat | Latitude | 31.6858 |
lon | Longitude | 118.5101 |
coordinates | Coordinates | 31.6858, 118.5101 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Anhui |
population | Integer | 2,202,899 |
id | String | 1156847452 |
Field | Field type | Value |
---|---|---|
city | Page | Yan’an |
city_ascii | Text | Yan'an |
lat | Latitude | 36.5952 |
lon | Longitude | 109.4863 |
coordinates | Coordinates | 36.5952, 109.4863 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Shaanxi |
population | Integer | 2,187,009 |
id | String | 1156546342 |
Field | Field type | Value |
---|---|---|
city | Page | Baku |
city_ascii | Text | Baku |
lat | Latitude | 40.3667 |
lon | Longitude | 49.8352 |
coordinates | Coordinates | 40.3667, 49.8352 |
country | Page | Azerbaijan |
iso2 | String | AZ |
iso3 | String | AZE |
admin_name | Page | Bakı |
population | Integer | 2,181,800 |
id | String | 1031946365 |
Field | Field type | Value |
---|---|---|
city | Page | Gaoping |
city_ascii | Text | Gaoping |
lat | Latitude | 30.7824 |
lon | Longitude | 106.1281 |
coordinates | Coordinates | 30.7824, 106.1281 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Sichuan |
population | Integer | 2,174,000 |
id | String | 1156522457 |
Field | Field type | Value |
---|---|---|
city | Page | Harare |
city_ascii | Text | Harare |
lat | Latitude | -17.8292 |
lon | Longitude | 31.0522 |
coordinates | Coordinates | -17.8292, 31.0522 |
country | Page | Zimbabwe |
iso2 | String | ZW |
iso3 | String | ZWE |
admin_name | Page | Harare |
population | Integer | 2,150,000 |
id | String | 1716196799 |
Field | Field type | Value |
---|---|---|
city | Page | Havana |
city_ascii | Text | Havana |
lat | Latitude | 23.1367 |
lon | Longitude | -82.3589 |
coordinates | Coordinates | 23.1367, -82.3589 |
country | Page | Cuba |
iso2 | String | CU |
iso3 | String | CUB |
admin_name | Page | La Habana |
population | Integer | 2,141,652 |
id | String | 1192752771 |
Field | Field type | Value |
---|---|---|
city | Page | Phnom Penh |
city_ascii | Text | Phnom Penh |
lat | Latitude | 11.5696 |
lon | Longitude | 104.921 |
coordinates | Coordinates | 11.5696, 104.921 |
country | Page | Cambodia |
iso2 | String | KH |
iso3 | String | KHM |
admin_name | Page | Phnom Penh |
population | Integer | 2,129,371 |
id | String | 1116260534 |
Field | Field type | Value |
---|---|---|
city | Page | Ningbo |
city_ascii | Text | Ningbo |
lat | Latitude | 29.875 |
lon | Longitude | 121.5492 |
coordinates | Coordinates | 29.875, 121.5492 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Zhejiang |
population | Integer | 2,125,500 |
id | String | 1156170787 |
Field | Field type | Value |
---|---|---|
city | Page | Mogadishu |
city_ascii | Text | Mogadishu |
lat | Latitude | 2.0408 |
lon | Longitude | 45.3425 |
coordinates | Coordinates | 2.0408, 45.3425 |
country | Page | Somalia |
iso2 | String | SO |
iso3 | String | SOM |
admin_name | Page | Banaadir |
population | Integer | 2,120,000 |
id | String | 1706893395 |
Field | Field type | Value |
---|---|---|
city | Page | Puning |
city_ascii | Text | Puning |
lat | Latitude | 23.2993 |
lon | Longitude | 116.1586 |
coordinates | Coordinates | 23.2993, 116.1586 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Guangdong |
population | Integer | 2,118,200 |
id | String | 1156756494 |
Field | Field type | Value |
---|---|---|
city | Page | Medan |
city_ascii | Text | Medan |
lat | Latitude | 3.6667 |
lon | Longitude | 98.6667 |
coordinates | Coordinates | 3.6667, 98.6667 |
country | Page | Indonesia |
iso2 | String | ID |
iso3 | String | IDN |
admin_name | Page | Sumatera Utara |
population | Integer | 2,109,330 |
id | String | 1360543171 |
Field | Field type | Value |
---|---|---|
city | Page | Huaibei |
city_ascii | Text | Huaibei |
lat | Latitude | 33.9562 |
lon | Longitude | 116.789 |
coordinates | Coordinates | 33.9562, 116.789 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Anhui |
population | Integer | 2,114,276 |
id | String | 1156142626 |
Field | Field type | Value |
---|---|---|
city | Page | Qingyang |
city_ascii | Text | Qingyang |
lat | Latitude | 24.8141 |
lon | Longitude | 118.5792 |
coordinates | Coordinates | 24.8141, 118.5792 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Fujian |
population | Integer | 2,111,000 |
id | String | 1156273372 |
Field | Field type | Value |
---|---|---|
city | Page | Riverside |
city_ascii | Text | Riverside |
lat | Latitude | 33.9381 |
lon | Longitude | -117.3948 |
coordinates | Coordinates | 33.9381, -117.3948 |
country | Page | United States |
iso2 | String | US |
iso3 | String | USA |
admin_name | Page | California |
population | Integer | 2,107,852 |
id | String | 1840020551 |
Field | Field type | Value |
---|---|---|
city | Page | Baltimore |
city_ascii | Text | Baltimore |
lat | Latitude | 39.3051 |
lon | Longitude | -76.6144 |
coordinates | Coordinates | 39.3051, -76.6144 |
country | Page | United States |
iso2 | String | US |
iso3 | String | USA |
admin_name | Page | Maryland |
population | Integer | 2,106,068 |
id | String | 1840001592 |
Field | Field type | Value |
---|---|---|
city | Page | Haiphong |
city_ascii | Text | Haiphong |
lat | Latitude | 20.8 |
lon | Longitude | 106.6667 |
coordinates | Coordinates | 20.8, 106.6667 |
country | Page | Vietnam |
iso2 | String | VN |
iso3 | String | VNM |
admin_name | Page | Hải Phòng |
population | Integer | 2,103,500 |
id | String | 1704000623 |
Field | Field type | Value |
---|---|---|
city | Page | Las Vegas |
city_ascii | Text | Las Vegas |
lat | Latitude | 36.2333 |
lon | Longitude | -115.2654 |
coordinates | Coordinates | 36.2333, -115.2654 |
country | Page | United States |
iso2 | String | US |
iso3 | String | USA |
admin_name | Page | Nevada |
population | Integer | 2,104,198 |
id | String | 1840020364 |
Field | Field type | Value |
---|---|---|
city | Page | Chongzuo |
city_ascii | Text | Chongzuo |
lat | Latitude | 22.4167 |
lon | Longitude | 107.3667 |
coordinates | Coordinates | 22.4167, 107.3667 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Guangxi |
population | Integer | 2,099,400 |
id | String | 1156438670 |
Field | Field type | Value |
---|---|---|
city | Page | Rawalpindi |
city_ascii | Text | Rawalpindi |
lat | Latitude | 33.6007 |
lon | Longitude | 73.0679 |
coordinates | Coordinates | 33.6007, 73.0679 |
country | Page | Pakistan |
iso2 | String | PK |
iso3 | String | PAK |
admin_name | Page | Punjab |
population | Integer | 2,098,231 |
id | String | 1586344001 |
Field | Field type | Value |
---|---|---|
city | Page | Kumasi |
city_ascii | Text | Kumasi |
lat | Latitude | 6.6833 |
lon | Longitude | -1.6167 |
coordinates | Coordinates | 6.6833, -1.6167 |
country | Page | Ghana |
iso2 | String | GH |
iso3 | String | GHA |
admin_name | Page | Ashanti |
population | Integer | 2,069,350 |
id | String | 1288181103 |
Field | Field type | Value |
---|---|---|
city | Page | Portland |
city_ascii | Text | Portland |
lat | Latitude | 45.5372 |
lon | Longitude | -122.65 |
coordinates | Coordinates | 45.5372, -122.65 |
country | Page | United States |
iso2 | String | US |
iso3 | String | USA |
admin_name | Page | Oregon |
population | Integer | 2,074,775 |
id | String | 1840019941 |
Field | Field type | Value |
---|---|---|
city | Page | Vadodara |
city_ascii | Text | Vadodara |
lat | Latitude | 22.3 |
lon | Longitude | 73.2 |
coordinates | Coordinates | 22.3, 73.2 |
country | Page | India |
iso2 | String | IN |
iso3 | String | IND |
admin_name | Page | Gujarāt |
population | Integer | 2,065,771 |
id | String | 1356705249 |
Field | Field type | Value |
---|---|---|
city | Page | Hezhou |
city_ascii | Text | Hezhou |
lat | Latitude | 24.4164 |
lon | Longitude | 111.5478 |
coordinates | Coordinates | 24.4164, 111.5478 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Guangxi |
population | Integer | 2,072,600 |
id | String | 1156459799 |
Field | Field type | Value |
---|---|---|
city | Page | Pingliang |
city_ascii | Text | Pingliang |
lat | Latitude | 35.5412 |
lon | Longitude | 106.6819 |
coordinates | Coordinates | 35.5412, 106.6819 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Gansu |
population | Integer | 2,068,033 |
id | String | 1156216904 |
Field | Field type | Value |
---|---|---|
city | Page | San Antonio |
city_ascii | Text | San Antonio |
lat | Latitude | 29.4658 |
lon | Longitude | -98.5253 |
coordinates | Coordinates | 29.4658, -98.5253 |
country | Page | United States |
iso2 | String | US |
iso3 | String | USA |
admin_name | Page | Texas |
population | Integer | 2,049,293 |
id | String | 1840022220 |
Field | Field type | Value |
---|---|---|
city | Page | Perth |
city_ascii | Text | Perth |
lat | Latitude | -31.9522 |
lon | Longitude | 115.8589 |
coordinates | Coordinates | -31.9522, 115.8589 |
country | Page | Australia |
iso2 | String | AU |
iso3 | String | AUS |
admin_name | Page | Western Australia |
population | Integer | 2,039,200 |
id | String | 1036178956 |
Field | Field type | Value |
---|---|---|
city | Page | Vishākhapatnam |
city_ascii | Text | Vishakhapatnam |
lat | Latitude | 17.7333 |
lon | Longitude | 83.3167 |
coordinates | Coordinates | 17.7333, 83.3167 |
country | Page | India |
iso2 | String | IN |
iso3 | String | IND |
admin_name | Page | Andhra Pradesh |
population | Integer | 2,035,922 |
id | String | 1356692563 |
Field | Field type | Value |
---|---|---|
city | Page | Shengli |
city_ascii | Text | Shengli |
lat | Latitude | 37.45 |
lon | Longitude | 118.4667 |
coordinates | Coordinates | 37.45, 118.4667 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Shandong |
population | Integer | 2,035,338 |
id | String | 1156672254 |
Field | Field type | Value |
---|---|---|
city | Page | Gujranwala |
city_ascii | Text | Gujranwala |
lat | Latitude | 32.15 |
lon | Longitude | 74.1833 |
coordinates | Coordinates | 32.15, 74.1833 |
country | Page | Pakistan |
iso2 | String | PK |
iso3 | String | PAK |
admin_name | Page | Punjab |
population | Integer | 2,027,001 |
id | String | 1586400472 |
Field | Field type | Value |
---|---|---|
city | Page | Baicheng |
city_ascii | Text | Baicheng |
lat | Latitude | 45.6148 |
lon | Longitude | 122.832 |
coordinates | Coordinates | 45.6148, 122.832 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Jilin |
population | Integer | 2,032,356 |
id | String | 1156435764 |
Field | Field type | Value |
---|---|---|
city | Page | Fushun |
city_ascii | Text | Fushun |
lat | Latitude | 41.8708 |
lon | Longitude | 123.8917 |
coordinates | Coordinates | 41.8708, 123.8917 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Liaoning |
population | Integer | 2,024,000 |
id | String | 1156857743 |
Field | Field type | Value |
---|---|---|
city | Page | St. Louis |
city_ascii | Text | St. Louis |
lat | Latitude | 38.6358 |
lon | Longitude | -90.2451 |
coordinates | Coordinates | 38.6358, -90.2451 |
country | Page | United States |
iso2 | String | US |
iso3 | String | USA |
admin_name | Page | Missouri |
population | Integer | 2,024,074 |
id | String | 1840001651 |
Field | Field type | Value |
---|---|---|
city | Page | Bamako |
city_ascii | Text | Bamako |
lat | Latitude | 12.6458 |
lon | Longitude | -7.9922 |
coordinates | Coordinates | 12.6458, -7.9922 |
country | Page | Mali |
iso2 | String | ML |
iso3 | String | MLI |
admin_name | Page | Bamako |
population | Integer | 2,009,109 |
id | String | 1466965925 |
Field | Field type | Value |
---|---|---|
city | Page | Quito |
city_ascii | Text | Quito |
lat | Latitude | -0.22 |
lon | Longitude | -78.5125 |
coordinates | Coordinates | -0.22, -78.5125 |
country | Page | Ecuador |
iso2 | String | EC |
iso3 | String | ECU |
admin_name | Page | Pichincha |
population | Integer | 2,011,388 |
id | String | 1218441993 |
Field | Field type | Value |
---|---|---|
city | Page | Minsk |
city_ascii | Text | Minsk |
lat | Latitude | 53.9022 |
lon | Longitude | 27.5618 |
coordinates | Coordinates | 53.9022, 27.5618 |
country | Page | Belarus |
iso2 | String | BY |
iso3 | String | BLR |
admin_name | Page | Minsk |
population | Integer | 2,009,786 |
id | String | 1112348503 |
Field | Field type | Value |
---|---|---|
city | Page | Indore |
city_ascii | Text | Indore |
lat | Latitude | 22.7206 |
lon | Longitude | 75.8472 |
coordinates | Coordinates | 22.7206, 75.8472 |
country | Page | India |
iso2 | String | IN |
iso3 | String | IND |
admin_name | Page | Madhya Pradesh |
population | Integer | 1,994,397 |
id | String | 1356402812 |
Field | Field type | Value |
---|---|---|
city | Page | Yinchuan |
city_ascii | Text | Yinchuan |
lat | Latitude | 38.4795 |
lon | Longitude | 106.2254 |
coordinates | Coordinates | 38.4795, 106.2254 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Ningxia |
population | Integer | 1,993,088 |
id | String | 1156359072 |
Field | Field type | Value |
---|---|---|
city | Page | Kananga |
city_ascii | Text | Kananga |
lat | Latitude | -5.8961 |
lon | Longitude | 22.4167 |
coordinates | Coordinates | -5.8961, 22.4167 |
country | Page | Congo (Kinshasa) |
iso2 | String | CD |
iso3 | String | COD |
admin_name | Page | Kasaï Central |
population | Integer | 1,971,704 |
id | String | 1180172460 |
Field | Field type | Value |
---|---|---|
city | Page | Peshawar |
city_ascii | Text | Peshawar |
lat | Latitude | 34 |
lon | Longitude | 71.5 |
coordinates | Coordinates | 34, 71.5 |
country | Page | Pakistan |
iso2 | String | PK |
iso3 | String | PAK |
admin_name | Page | Khyber Pakhtunkhwa |
population | Integer | 1,970,042 |
id | String | 1586851102 |
Field | Field type | Value |
---|---|---|
city | Page | Sapporo |
city_ascii | Text | Sapporo |
lat | Latitude | 43.0621 |
lon | Longitude | 141.3544 |
coordinates | Coordinates | 43.0621, 141.3544 |
country | Page | Japan |
iso2 | String | JP |
iso3 | String | JPN |
admin_name | Page | Hokkaidō |
population | Integer | 1,961,690 |
id | String | 1392000195 |
Field | Field type | Value |
---|---|---|
city | Page | Eşfahān |
city_ascii | Text | Esfahan |
lat | Latitude | 32.6447 |
lon | Longitude | 51.6675 |
coordinates | Coordinates | 32.6447, 51.6675 |
country | Page | Iran |
iso2 | String | IR |
iso3 | String | IRN |
admin_name | Page | Eşfahān |
population | Integer | 1,961,260 |
id | String | 1364023865 |
Field | Field type | Value |
---|---|---|
city | Page | Caracas |
city_ascii | Text | Caracas |
lat | Latitude | 10.5 |
lon | Longitude | -66.9333 |
coordinates | Coordinates | 10.5, -66.9333 |
country | Page | Venezuela |
iso2 | String | VE |
iso3 | String | VEN |
admin_name | Page | Distrito Capital |
population | Integer | 1,943,901 |
id | String | 1862748204 |
Field | Field type | Value |
---|---|---|
city | Page | Pingxiang |
city_ascii | Text | Pingxiang |
lat | Latitude | 27.6333 |
lon | Longitude | 113.85 |
coordinates | Coordinates | 27.6333, 113.85 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Jiangxi |
population | Integer | 1,933,200 |
id | String | 1156066465 |
Field | Field type | Value |
---|---|---|
city | Page | Aleppo |
city_ascii | Text | Aleppo |
lat | Latitude | 36.2 |
lon | Longitude | 37.15 |
coordinates | Coordinates | 36.2, 37.15 |
country | Page | Syria |
iso2 | String | SY |
iso3 | String | SYR |
admin_name | Page | Ḩalab |
population | Integer | 1,916,781 |
id | String | 1760366651 |
Field | Field type | Value |
---|---|---|
city | Page | Tijuana |
city_ascii | Text | Tijuana |
lat | Latitude | 32.525 |
lon | Longitude | -117.0333 |
coordinates | Coordinates | 32.525, -117.0333 |
country | Page | Mexico |
iso2 | String | MX |
iso3 | String | MEX |
admin_name | Page | Baja California |
population | Integer | 1,922,523 |
id | String | 1484708778 |
Field | Field type | Value |
---|---|---|
city | Page | Almaty |
city_ascii | Text | Almaty |
lat | Latitude | 43.25 |
lon | Longitude | 76.9 |
coordinates | Coordinates | 43.25, 76.9 |
country | Page | Kazakhstan |
iso2 | String | KZ |
iso3 | String | KAZ |
admin_name | Page | Almaty |
population | Integer | 1,916,822 |
id | String | 1398351701 |
Field | Field type | Value |
---|---|---|
city | Page | Vienna |
city_ascii | Text | Vienna |
lat | Latitude | 48.2083 |
lon | Longitude | 16.3725 |
coordinates | Coordinates | 48.2083, 16.3725 |
country | Page | Austria |
iso2 | String | AT |
iso3 | String | AUT |
admin_name | Page | Wien |
population | Integer | 1,911,191 |
id | String | 1040261752 |
Field | Field type | Value |
---|---|---|
city | Page | Thāne |
city_ascii | Text | Thane |
lat | Latitude | 19.18 |
lon | Longitude | 72.9633 |
coordinates | Coordinates | 19.18, 72.9633 |
country | Page | India |
iso2 | String | IN |
iso3 | String | IND |
admin_name | Page | Mahārāshtra |
population | Integer | 1,886,941 |
id | String | 1356681152 |
Field | Field type | Value |
---|---|---|
city | Page | Sacramento |
city_ascii | Text | Sacramento |
lat | Latitude | 38.5667 |
lon | Longitude | -121.4683 |
coordinates | Coordinates | 38.5667, -121.4683 |
country | Page | United States |
iso2 | String | US |
iso3 | String | USA |
admin_name | Page | California |
population | Integer | 1,898,019 |
id | String | 1840021491 |
Field | Field type | Value |
---|---|---|
city | Page | Blantyre |
city_ascii | Text | Blantyre |
lat | Latitude | -15.7861 |
lon | Longitude | 35.0058 |
coordinates | Coordinates | -15.7861, 35.0058 |
country | Page | Malawi |
iso2 | String | MW |
iso3 | String | MWI |
admin_name | Page | Blantyre |
population | Integer | 1,895,973 |
id | String | 1454145012 |
Field | Field type | Value |
---|---|---|
city | Page | Tainan |
city_ascii | Text | Tainan |
lat | Latitude | 22.9833 |
lon | Longitude | 120.1833 |
coordinates | Coordinates | 22.9833, 120.1833 |
country | Page | Taiwan |
iso2 | String | TW |
iso3 | String | TWN |
admin_name | Page | Tainan |
population | Integer | 1,883,831 |
id | String | 1158061376 |
Field | Field type | Value |
---|---|---|
city | Page | Zhuhai |
city_ascii | Text | Zhuhai |
lat | Latitude | 22.2769 |
lon | Longitude | 113.5678 |
coordinates | Coordinates | 22.2769, 113.5678 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Guangdong |
population | Integer | 1,891,100 |
id | String | 1156722242 |
Field | Field type | Value |
---|---|---|
city | Page | Bucharest |
city_ascii | Text | Bucharest |
lat | Latitude | 44.4 |
lon | Longitude | 26.0833 |
coordinates | Coordinates | 44.4, 26.0833 |
country | Page | Romania |
iso2 | String | RO |
iso3 | String | ROU |
admin_name | Page | Bucureşti |
population | Integer | 1,883,425 |
id | String | 1642414442 |
Field | Field type | Value |
---|---|---|
city | Page | Curitiba |
city_ascii | Text | Curitiba |
lat | Latitude | -25.4297 |
lon | Longitude | -49.2719 |
coordinates | Coordinates | -25.4297, -49.2719 |
country | Page | Brazil |
iso2 | String | BR |
iso3 | String | BRA |
admin_name | Page | Paraná |
population | Integer | 1,879,355 |
id | String | 1076701712 |
Field | Field type | Value |
---|---|---|
city | Page | Multan |
city_ascii | Text | Multan |
lat | Latitude | 30.1978 |
lon | Longitude | 71.4711 |
coordinates | Coordinates | 30.1978, 71.4711 |
country | Page | Pakistan |
iso2 | String | PK |
iso3 | String | PAK |
admin_name | Page | Punjab |
population | Integer | 1,871,843 |
id | String | 1586256291 |
Field | Field type | Value |
---|---|---|
city | Page | Xiping |
city_ascii | Text | Xiping |
lat | Latitude | 40.082 |
lon | Longitude | 113.2981 |
coordinates | Coordinates | 40.082, 113.2981 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Shanxi |
population | Integer | 1,873,000 |
id | String | 1156898522 |
Field | Field type | Value |
---|---|---|
city | Page | Ecatepec |
city_ascii | Text | Ecatepec |
lat | Latitude | 19.6097 |
lon | Longitude | -99.06 |
coordinates | Coordinates | 19.6097, -99.06 |
country | Page | Mexico |
iso2 | String | MX |
iso3 | String | MEX |
admin_name | Page | México |
population | Integer | 1,857,188 |
id | String | 1484003694 |
Field | Field type | Value |
---|---|---|
city | Page | Jixi |
city_ascii | Text | Jixi |
lat | Latitude | 45.2937 |
lon | Longitude | 130.965 |
coordinates | Coordinates | 45.2937, 130.965 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Heilongjiang |
population | Integer | 1,862,165 |
id | String | 1156393765 |
Field | Field type | Value |
---|---|---|
city | Page | Saidu Sharif |
city_ascii | Text | Saidu Sharif |
lat | Latitude | 34.75 |
lon | Longitude | 72.3572 |
coordinates | Coordinates | 34.75, 72.3572 |
country | Page | Pakistan |
iso2 | String | PK |
iso3 | String | PAK |
admin_name | Page | Khyber Pakhtunkhwa |
population | Integer | 1,860,310 |
id | String | 1586619596 |
Field | Field type | Value |
---|---|---|
city | Page | Liaoyang |
city_ascii | Text | Liaoyang |
lat | Latitude | 41.2643 |
lon | Longitude | 123.1772 |
coordinates | Coordinates | 41.2643, 123.1772 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Liaoning |
population | Integer | 1,858,768 |
id | String | 1156202749 |
Field | Field type | Value |
---|---|---|
city | Page | Hamburg |
city_ascii | Text | Hamburg |
lat | Latitude | 53.55 |
lon | Longitude | 10 |
coordinates | Coordinates | 53.55, 10 |
country | Page | Germany |
iso2 | String | DE |
iso3 | String | DEU |
admin_name | Page | Hamburg |
population | Integer | 1,852,478 |
id | String | 1276041799 |
Field | Field type | Value |
---|---|---|
city | Page | Meru |
city_ascii | Text | Meru |
lat | Latitude | 0.05 |
lon | Longitude | 37.65 |
coordinates | Coordinates | 0.05, 37.65 |
country | Page | Kenya |
iso2 | String | KE |
iso3 | String | KEN |
admin_name | Page | Meru |
population | Integer | 1,833,000 |
id | String | 1404588252 |
Field | Field type | Value |
---|---|---|
city | Page | Brazzaville |
city_ascii | Text | Brazzaville |
lat | Latitude | -4.2667 |
lon | Longitude | 15.2833 |
coordinates | Coordinates | -4.2667, 15.2833 |
country | Page | Congo (Brazzaville) |
iso2 | String | CG |
iso3 | String | COG |
admin_name | Page | Brazzaville |
population | Integer | 1,827,000 |
id | String | 1178340306 |
Field | Field type | Value |
---|---|---|
city | Page | Orlando |
city_ascii | Text | Orlando |
lat | Latitude | 28.4772 |
lon | Longitude | -81.3369 |
coordinates | Coordinates | 28.4772, -81.3369 |
country | Page | United States |
iso2 | String | US |
iso3 | String | USA |
admin_name | Page | Florida |
population | Integer | 1,822,394 |
id | String | 1840015099 |
Field | Field type | Value |
---|---|---|
city | Page | Fuxin |
city_ascii | Text | Fuxin |
lat | Latitude | 42.0127 |
lon | Longitude | 121.6486 |
coordinates | Coordinates | 42.0127, 121.6486 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Liaoning |
population | Integer | 1,819,339 |
id | String | 1156141954 |
Field | Field type | Value |
---|---|---|
city | Page | Wuwei |
city_ascii | Text | Wuwei |
lat | Latitude | 37.9278 |
lon | Longitude | 102.6329 |
coordinates | Coordinates | 37.9278, 102.6329 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Gansu |
population | Integer | 1,815,059 |
id | String | 1156760291 |
Field | Field type | Value |
---|---|---|
city | Page | Manaus |
city_ascii | Text | Manaus |
lat | Latitude | -3.1 |
lon | Longitude | -60.0167 |
coordinates | Coordinates | -3.1, -60.0167 |
country | Page | Brazil |
iso2 | String | BR |
iso3 | String | BRA |
admin_name | Page | Amazonas |
population | Integer | 1,802,014 |
id | String | 1076607274 |
Field | Field type | Value |
---|---|---|
city | Page | Bhopāl |
city_ascii | Text | Bhopal |
lat | Latitude | 23.25 |
lon | Longitude | 77.4167 |
coordinates | Coordinates | 23.25, 77.4167 |
country | Page | India |
iso2 | String | IN |
iso3 | String | IND |
admin_name | Page | Madhya Pradesh |
population | Integer | 1,798,218 |
id | String | 1356734039 |
Field | Field type | Value |
---|---|---|
city | Page | San Jose |
city_ascii | Text | San Jose |
lat | Latitude | 37.3019 |
lon | Longitude | -121.8486 |
coordinates | Coordinates | 37.3019, -121.8486 |
country | Page | United States |
iso2 | String | US |
iso3 | String | USA |
admin_name | Page | California |
population | Integer | 1,798,103 |
id | String | 1840021570 |
Field | Field type | Value |
---|---|---|
city | Page | Warsaw |
city_ascii | Text | Warsaw |
lat | Latitude | 52.23 |
lon | Longitude | 21.0111 |
coordinates | Coordinates | 52.23, 21.0111 |
country | Page | Poland |
iso2 | String | PL |
iso3 | String | POL |
admin_name | Page | Mazowieckie |
population | Integer | 1,790,658 |
id | String | 1616024847 |
Field | Field type | Value |
---|---|---|
city | Page | Lubumbashi |
city_ascii | Text | Lubumbashi |
lat | Latitude | -11.6697 |
lon | Longitude | 27.4581 |
coordinates | Coordinates | -11.6697, 27.4581 |
country | Page | Congo (Kinshasa) |
iso2 | String | CD |
iso3 | String | COD |
admin_name | Page | Haut-Katanga |
population | Integer | 1,786,397 |
id | String | 1180506234 |
Field | Field type | Value |
---|---|---|
city | Page | Davao |
city_ascii | Text | Davao |
lat | Latitude | 7.0667 |
lon | Longitude | 125.6 |
coordinates | Coordinates | 7.0667, 125.6 |
country | Page | Philippines |
iso2 | String | PH |
iso3 | String | PHL |
admin_name | Page | Davao |
population | Integer | 1,776,949 |
id | String | 1608906877 |
Field | Field type | Value |
---|---|---|
city | Page | Haikou |
city_ascii | Text | Haikou |
lat | Latitude | 20.02 |
lon | Longitude | 110.32 |
coordinates | Coordinates | 20.02, 110.32 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Hainan |
population | Integer | 1,776,141 |
id | String | 1156183327 |
Field | Field type | Value |
---|---|---|
city | Page | Damascus |
city_ascii | Text | Damascus |
lat | Latitude | 33.5131 |
lon | Longitude | 36.2919 |
coordinates | Coordinates | 33.5131, 36.2919 |
country | Page | Syria |
iso2 | String | SY |
iso3 | String | SYR |
admin_name | Page | Dimashq |
population | Integer | 1,754,000 |
id | String | 1760685964 |
Field | Field type | Value |
---|---|---|
city | Page | Shuyangzha |
city_ascii | Text | Shuyangzha |
lat | Latitude | 34.1299 |
lon | Longitude | 118.7734 |
coordinates | Coordinates | 34.1299, 118.7734 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Jiangsu |
population | Integer | 1,770,000 |
id | String | 1156051957 |
Field | Field type | Value |
---|---|---|
city | Page | Brussels |
city_ascii | Text | Brussels |
lat | Latitude | 50.8353 |
lon | Longitude | 4.3314 |
coordinates | Coordinates | 50.8353, 4.3314 |
country | Page | Belgium |
iso2 | String | BE |
iso3 | String | BEL |
admin_name | Page | Brussels-Capital Region |
population | Integer | 1,743,000 |
id | String | 1056469830 |
Field | Field type | Value |
---|---|---|
city | Page | Lusaka |
city_ascii | Text | Lusaka |
lat | Latitude | -15.4167 |
lon | Longitude | 28.2833 |
coordinates | Coordinates | -15.4167, 28.2833 |
country | Page | Zambia |
iso2 | String | ZM |
iso3 | String | ZMB |
admin_name | Page | Lusaka |
population | Integer | 1,742,979 |
id | String | 1894157390 |
Field | Field type | Value |
---|---|---|
city | Page | Hyderabad City |
city_ascii | Text | Hyderabad City |
lat | Latitude | 25.3792 |
lon | Longitude | 68.3683 |
coordinates | Coordinates | 25.3792, 68.3683 |
country | Page | Pakistan |
iso2 | String | PK |
iso3 | String | PAK |
admin_name | Page | Sindh |
population | Integer | 1,732,693 |
id | String | 1586185019 |
Field | Field type | Value |
---|---|---|
city | Page | Budapest |
city_ascii | Text | Budapest |
lat | Latitude | 47.4983 |
lon | Longitude | 19.0408 |
coordinates | Coordinates | 47.4983, 19.0408 |
country | Page | Hungary |
iso2 | String | HU |
iso3 | String | HUN |
admin_name | Page | Budapest |
population | Integer | 1,723,836 |
id | String | 1348611435 |
Field | Field type | Value |
---|---|---|
city | Page | Shuozhou |
city_ascii | Text | Shuozhou |
lat | Latitude | 39.3408 |
lon | Longitude | 112.4292 |
coordinates | Coordinates | 39.3408, 112.4292 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Shanxi |
population | Integer | 1,714,857 |
id | String | 1156227167 |
Field | Field type | Value |
---|---|---|
city | Page | Cleveland |
city_ascii | Text | Cleveland |
lat | Latitude | 41.4767 |
lon | Longitude | -81.6804 |
coordinates | Coordinates | 41.4767, -81.6804 |
country | Page | United States |
iso2 | String | US |
iso3 | String | USA |
admin_name | Page | Ohio |
population | Integer | 1,710,093 |
id | String | 1840000596 |
Field | Field type | Value |
---|---|---|
city | Page | Benxi |
city_ascii | Text | Benxi |
lat | Latitude | 41.292 |
lon | Longitude | 123.761 |
coordinates | Coordinates | 41.292, 123.761 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Liaoning |
population | Integer | 1,709,538 |
id | String | 1156097909 |
Field | Field type | Value |
---|---|---|
city | Page | Baiyin |
city_ascii | Text | Baiyin |
lat | Latitude | 36.5448 |
lon | Longitude | 104.1766 |
coordinates | Coordinates | 36.5448, 104.1766 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Gansu |
population | Integer | 1,708,751 |
id | String | 1156140738 |
Field | Field type | Value |
---|---|---|
city | Page | Pittsburgh |
city_ascii | Text | Pittsburgh |
lat | Latitude | 40.4396 |
lon | Longitude | -79.9762 |
coordinates | Coordinates | 40.4396, -79.9762 |
country | Page | United States |
iso2 | String | US |
iso3 | String | USA |
admin_name | Page | Pennsylvania |
population | Integer | 1,703,266 |
id | String | 1840001254 |
Field | Field type | Value |
---|---|---|
city | Page | Patna |
city_ascii | Text | Patna |
lat | Latitude | 25.61 |
lon | Longitude | 85.1414 |
coordinates | Coordinates | 25.61, 85.1414 |
country | Page | India |
iso2 | String | IN |
iso3 | String | IND |
admin_name | Page | Bihār |
population | Integer | 1,684,222 |
id | String | 1356821429 |
Field | Field type | Value |
---|---|---|
city | Page | Mosul |
city_ascii | Text | Mosul |
lat | Latitude | 36.3667 |
lon | Longitude | 43.1167 |
coordinates | Coordinates | 36.3667, 43.1167 |
country | Page | Iraq |
iso2 | String | IQ |
iso3 | String | IRQ |
admin_name | Page | Nīnawá |
population | Integer | 1,694,000 |
id | String | 1368194914 |
Field | Field type | Value |
---|---|---|
city | Page | Caloocan City |
city_ascii | Text | Caloocan City |
lat | Latitude | 14.65 |
lon | Longitude | 120.9667 |
coordinates | Coordinates | 14.65, 120.9667 |
country | Page | Philippines |
iso2 | String | PH |
iso3 | String | PHL |
admin_name | Page | Caloocan |
population | Integer | 1,661,584 |
id | String | 1608897690 |
Field | Field type | Value |
---|---|---|
city | Page | Austin |
city_ascii | Text | Austin |
lat | Latitude | 30.3004 |
lon | Longitude | -97.7522 |
coordinates | Coordinates | 30.3004, -97.7522 |
country | Page | United States |
iso2 | String | US |
iso3 | String | USA |
admin_name | Page | Texas |
population | Integer | 1,687,311 |
id | String | 1840019590 |
Field | Field type | Value |
---|---|---|
city | Page | Sanzhou |
city_ascii | Text | Sanzhou |
lat | Latitude | 30.82 |
lon | Longitude | 108.4 |
coordinates | Coordinates | 30.82, 108.4 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Chongqing |
population | Integer | 1,680,000 |
id | String | 1156025536 |
Field | Field type | Value |
---|---|---|
city | Page | Beihai |
city_ascii | Text | Beihai |
lat | Latitude | 21.4667 |
lon | Longitude | 109.1 |
coordinates | Coordinates | 21.4667, 109.1 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Guangxi |
population | Integer | 1,680,000 |
id | String | 1156421449 |
Field | Field type | Value |
---|---|---|
city | Page | Mecca |
city_ascii | Text | Mecca |
lat | Latitude | 21.4225 |
lon | Longitude | 39.8261 |
coordinates | Coordinates | 21.4225, 39.8261 |
country | Page | Saudi Arabia |
iso2 | String | SA |
iso3 | String | SAU |
admin_name | Page | Makkah al Mukarramah |
population | Integer | 1,675,368 |
id | String | 1682169241 |
Field | Field type | Value |
---|---|---|
city | Page | Heihe |
city_ascii | Text | Heihe |
lat | Latitude | 50.2458 |
lon | Longitude | 127.4886 |
coordinates | Coordinates | 50.2458, 127.4886 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Heilongjiang |
population | Integer | 1,673,899 |
id | String | 1156339225 |
Field | Field type | Value |
---|---|---|
city | Page | Jingdezhen |
city_ascii | Text | Jingdezhen |
lat | Latitude | 29.2942 |
lon | Longitude | 117.2036 |
coordinates | Coordinates | 29.2942, 117.2036 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Jiangxi |
population | Integer | 1,673,200 |
id | String | 1156038165 |
Field | Field type | Value |
---|---|---|
city | Page | Conakry |
city_ascii | Text | Conakry |
lat | Latitude | 9.538 |
lon | Longitude | -13.6773 |
coordinates | Coordinates | 9.538, -13.6773 |
country | Page | Guinea |
iso2 | String | GN |
iso3 | String | GIN |
admin_name | Page | Conakry |
population | Integer | 1,667,864 |
id | String | 1324568159 |
Field | Field type | Value |
---|---|---|
city | Page | Kampala |
city_ascii | Text | Kampala |
lat | Latitude | 0.3136 |
lon | Longitude | 32.5811 |
coordinates | Coordinates | 0.3136, 32.5811 |
country | Page | Uganda |
iso2 | String | UG |
iso3 | String | UGA |
admin_name | Page | Kampala |
population | Integer | 1,659,600 |
id | String | 1800406299 |
Field | Field type | Value |
---|---|---|
city | Page | Cincinnati |
city_ascii | Text | Cincinnati |
lat | Latitude | 39.1413 |
lon | Longitude | -84.5061 |
coordinates | Coordinates | 39.1413, -84.5061 |
country | Page | United States |
iso2 | String | US |
iso3 | String | USA |
admin_name | Page | Ohio |
population | Integer | 1,662,691 |
id | String | 1840003814 |
Field | Field type | Value |
---|---|---|
city | Page | Recife |
city_ascii | Text | Recife |
lat | Latitude | -8.0539 |
lon | Longitude | -34.8808 |
coordinates | Coordinates | -8.0539, -34.8808 |
country | Page | Brazil |
iso2 | String | BR |
iso3 | String | BRA |
admin_name | Page | Pernambuco |
population | Integer | 1,653,461 |
id | String | 1076137337 |
Field | Field type | Value |
---|---|---|
city | Page | Yushan |
city_ascii | Text | Yushan |
lat | Latitude | 31.3867 |
lon | Longitude | 120.9766 |
coordinates | Coordinates | 31.3867, 120.9766 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Jiangsu |
population | Integer | 1,651,200 |
id | String | 1156245000 |
Field | Field type | Value |
---|---|---|
city | Page | Zhongli |
city_ascii | Text | Zhongli |
lat | Latitude | 24.965 |
lon | Longitude | 121.2168 |
coordinates | Coordinates | 24.965, 121.2168 |
country | Page | Taiwan |
iso2 | String | TW |
iso3 | String | TWN |
admin_name | Page | Taoyuan |
population | Integer | 1,632,616 |
id | String | 1158025380 |
Field | Field type | Value |
---|---|---|
city | Page | Kansas City |
city_ascii | Text | Kansas City |
lat | Latitude | 39.1239 |
lon | Longitude | -94.5541 |
coordinates | Coordinates | 39.1239, -94.5541 |
country | Page | United States |
iso2 | String | US |
iso3 | String | USA |
admin_name | Page | Missouri |
population | Integer | 1,636,715 |
id | String | 1840008535 |
Field | Field type | Value |
---|---|---|
city | Page | Manhattan |
city_ascii | Text | Manhattan |
lat | Latitude | 40.7834 |
lon | Longitude | -73.9662 |
coordinates | Coordinates | 40.7834, -73.9662 |
country | Page | United States |
iso2 | String | US |
iso3 | String | USA |
admin_name | Page | New York |
population | Integer | 1,628,706 |
id | String | 1840034000 |
Field | Field type | Value |
---|---|---|
city | Page | Bilāspur |
city_ascii | Text | Bilaspur |
lat | Latitude | 22.15 |
lon | Longitude | 82.0167 |
coordinates | Coordinates | 22.15, 82.0167 |
country | Page | India |
iso2 | String | IN |
iso3 | String | IND |
admin_name | Page | Chhattīsgarh |
population | Integer | 1,625,502 |
id | String | 1356820491 |
Field | Field type | Value |
---|---|---|
city | Page | Semarang |
city_ascii | Text | Semarang |
lat | Latitude | -6.9667 |
lon | Longitude | 110.4167 |
coordinates | Coordinates | -6.9667, 110.4167 |
country | Page | Indonesia |
iso2 | String | ID |
iso3 | String | IDN |
admin_name | Page | Jawa Tengah |
population | Integer | 1,621,384 |
id | String | 1360745537 |
Field | Field type | Value |
---|---|---|
city | Page | Ludhiāna |
city_ascii | Text | Ludhiana |
lat | Latitude | 30.9083 |
lon | Longitude | 75.8486 |
coordinates | Coordinates | 30.9083, 75.8486 |
country | Page | India |
iso2 | String | IN |
iso3 | String | IND |
admin_name | Page | Punjab |
population | Integer | 1,618,879 |
id | String | 1356929498 |
Field | Field type | Value |
---|---|---|
city | Page | Novosibirsk |
city_ascii | Text | Novosibirsk |
lat | Latitude | 55.0333 |
lon | Longitude | 82.9167 |
coordinates | Coordinates | 55.0333, 82.9167 |
country | Page | Russia |
iso2 | String | RU |
iso3 | String | RUS |
admin_name | Page | Novosibirskaya Oblast’ |
population | Integer | 1,602,915 |
id | String | 1643399240 |
Field | Field type | Value |
---|---|---|
city | Page | Chengtangcun |
city_ascii | Text | Chengtangcun |
lat | Latitude | 35.0833 |
lon | Longitude | 117.15 |
coordinates | Coordinates | 35.0833, 117.15 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Shandong |
population | Integer | 1,603,659 |
id | String | 1156883901 |
Field | Field type | Value |
---|---|---|
city | Page | Āgra |
city_ascii | Text | Agra |
lat | Latitude | 27.1724 |
lon | Longitude | 78.0131 |
coordinates | Coordinates | 27.1724, 78.0131 |
country | Page | India |
iso2 | String | IN |
iso3 | String | IND |
admin_name | Page | Uttar Pradesh |
population | Integer | 1,592,000 |
id | String | 1356187395 |
Field | Field type | Value |
---|---|---|
city | Page | Karaj |
city_ascii | Text | Karaj |
lat | Latitude | 35.8327 |
lon | Longitude | 50.9915 |
coordinates | Coordinates | 35.8327, 50.9915 |
country | Page | Iran |
iso2 | String | IR |
iso3 | String | IRN |
admin_name | Page | Alborz |
population | Integer | 1,592,492 |
id | String | 1364258511 |
Field | Field type | Value |
---|---|---|
city | Page | Wenzhou |
city_ascii | Text | Wenzhou |
lat | Latitude | 27.9991 |
lon | Longitude | 120.6561 |
coordinates | Coordinates | 27.9991, 120.6561 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Zhejiang |
population | Integer | 1,588,700 |
id | String | 1156188829 |
Field | Field type | Value |
---|---|---|
city | Page | Indianapolis |
city_ascii | Text | Indianapolis |
lat | Latitude | 39.7771 |
lon | Longitude | -86.1458 |
coordinates | Coordinates | 39.7771, -86.1458 |
country | Page | United States |
iso2 | String | US |
iso3 | String | USA |
admin_name | Page | Indiana |
population | Integer | 1,588,961 |
id | String | 1840030084 |
Field | Field type | Value |
---|---|---|
city | Page | León de los Aldama |
city_ascii | Text | Leon de los Aldama |
lat | Latitude | 21.1167 |
lon | Longitude | -101.6833 |
coordinates | Coordinates | 21.1167, -101.6833 |
country | Page | Mexico |
iso2 | String | MX |
iso3 | String | MEX |
admin_name | Page | Guanajuato |
population | Integer | 1,579,803 |
id | String | 1484811199 |
Field | Field type | Value |
---|---|---|
city | Page | Puebla |
city_ascii | Text | Puebla |
lat | Latitude | 19.0333 |
lon | Longitude | -98.1833 |
coordinates | Coordinates | 19.0333, -98.1833 |
country | Page | Mexico |
iso2 | String | MX |
iso3 | String | MEX |
admin_name | Page | Puebla |
population | Integer | 1,576,259 |
id | String | 1484416394 |
Field | Field type | Value |
---|---|---|
city | Page | Kalyān |
city_ascii | Text | Kalyan |
lat | Latitude | 19.2502 |
lon | Longitude | 73.1602 |
coordinates | Coordinates | 19.2502, 73.1602 |
country | Page | India |
iso2 | String | IN |
iso3 | String | IND |
admin_name | Page | Mahārāshtra |
population | Integer | 1,576,614 |
id | String | 1356172246 |
Field | Field type | Value |
---|---|---|
city | Page | Madurai |
city_ascii | Text | Madurai |
lat | Latitude | 9.9197 |
lon | Longitude | 78.1194 |
coordinates | Coordinates | 9.9197, 78.1194 |
country | Page | India |
iso2 | String | IN |
iso3 | String | IND |
admin_name | Page | Tamil Nādu |
population | Integer | 1,561,129 |
id | String | 1356257289 |
Field | Field type | Value |
---|---|---|
city | Page | Mbuji-Mayi |
city_ascii | Text | Mbuji-Mayi |
lat | Latitude | -6.1209 |
lon | Longitude | 23.5967 |
coordinates | Coordinates | -6.1209, 23.5967 |
country | Page | Congo (Kinshasa) |
iso2 | String | CD |
iso3 | String | COD |
admin_name | Page | Kasaï Oriental |
population | Integer | 1,559,073 |
id | String | 1180399586 |
Field | Field type | Value |
---|---|---|
city | Page | Hebi |
city_ascii | Text | Hebi |
lat | Latitude | 35.7497 |
lon | Longitude | 114.2887 |
coordinates | Coordinates | 35.7497, 114.2887 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Henan |
population | Integer | 1,569,208 |
id | String | 1156114258 |
Field | Field type | Value |
---|---|---|
city | Page | Shīrāz |
city_ascii | Text | Shiraz |
lat | Latitude | 29.61 |
lon | Longitude | 52.5425 |
coordinates | Coordinates | 29.61, 52.5425 |
country | Page | Iran |
iso2 | String | IR |
iso3 | String | IRN |
admin_name | Page | Fārs |
population | Integer | 1,565,572 |
id | String | 1364432238 |
Field | Field type | Value |
---|---|---|
city | Page | Jamshedpur |
city_ascii | Text | Jamshedpur |
lat | Latitude | 22.8 |
lon | Longitude | 86.1833 |
coordinates | Coordinates | 22.8, 86.1833 |
country | Page | India |
iso2 | String | IN |
iso3 | String | IND |
admin_name | Page | Jharkhand |
population | Integer | 1,558,000 |
id | String | 1356501259 |
Field | Field type | Value |
---|---|---|
city | Page | Columbus |
city_ascii | Text | Columbus |
lat | Latitude | 39.9862 |
lon | Longitude | -82.985 |
coordinates | Coordinates | 39.9862, -82.985 |
country | Page | United States |
iso2 | String | US |
iso3 | String | USA |
admin_name | Page | Ohio |
population | Integer | 1,562,009 |
id | String | 1840003760 |
Field | Field type | Value |
---|---|---|
city | Page | Tabrīz |
city_ascii | Text | Tabriz |
lat | Latitude | 38.0833 |
lon | Longitude | 46.2833 |
coordinates | Coordinates | 38.0833, 46.2833 |
country | Page | Iran |
iso2 | String | IR |
iso3 | String | IRN |
admin_name | Page | Āz̄arbāyjān-e Sharqī |
population | Integer | 1,558,693 |
id | String | 1364141756 |
Field | Field type | Value |
---|---|---|
city | Page | Maracaibo |
city_ascii | Text | Maracaibo |
lat | Latitude | 10.6333 |
lon | Longitude | -71.6333 |
coordinates | Coordinates | 10.6333, -71.6333 |
country | Page | Venezuela |
iso2 | String | VE |
iso3 | String | VEN |
admin_name | Page | Zulia |
population | Integer | 1,551,539 |
id | String | 1862072711 |
Field | Field type | Value |
---|---|---|
city | Page | Kawasaki |
city_ascii | Text | Kawasaki |
lat | Latitude | 35.5167 |
lon | Longitude | 139.7 |
coordinates | Coordinates | 35.5167, 139.7 |
country | Page | Japan |
iso2 | String | JP |
iso3 | String | JPN |
admin_name | Page | Kanagawa |
population | Integer | 1,539,522 |
id | String | 1392003356 |
Field | Field type | Value |
---|---|---|
city | Page | Aba |
city_ascii | Text | Aba |
lat | Latitude | 5.1167 |
lon | Longitude | 7.3667 |
coordinates | Coordinates | 5.1167, 7.3667 |
country | Page | Nigeria |
iso2 | String | NG |
iso3 | String | NGA |
admin_name | Page | Abia |
population | Integer | 1,530,000 |
id | String | 1566262000 |
Field | Field type | Value |
---|---|---|
city | Page | Palembang |
city_ascii | Text | Palembang |
lat | Latitude | -2.9833 |
lon | Longitude | 104.7644 |
coordinates | Coordinates | -2.9833, 104.7644 |
country | Page | Indonesia |
iso2 | String | ID |
iso3 | String | IDN |
admin_name | Page | Sumatera Selatan |
population | Integer | 1,535,952 |
id | String | 1360902897 |
Field | Field type | Value |
---|---|---|
city | Page | Zhangjiajie |
city_ascii | Text | Zhangjiajie |
lat | Latitude | 29.1255 |
lon | Longitude | 110.4844 |
coordinates | Coordinates | 29.1255, 110.4844 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Hunan |
population | Integer | 1,537,900 |
id | String | 1156072884 |
Field | Field type | Value |
---|---|---|
city | Page | Kōbe |
city_ascii | Text | Kobe |
lat | Latitude | 34.6913 |
lon | Longitude | 135.183 |
coordinates | Coordinates | 34.6913, 135.183 |
country | Page | Japan |
iso2 | String | JP |
iso3 | String | JPN |
admin_name | Page | Hyōgo |
population | Integer | 1,513,193 |
id | String | 1392978082 |
Field | Field type | Value |
---|---|---|
city | Page | Charlotte |
city_ascii | Text | Charlotte |
lat | Latitude | 35.208 |
lon | Longitude | -80.8304 |
coordinates | Coordinates | 35.208, -80.8304 |
country | Page | United States |
iso2 | String | US |
iso3 | String | USA |
admin_name | Page | North Carolina |
population | Integer | 1,512,923 |
id | String | 1840014557 |
Field | Field type | Value |
---|---|---|
city | Page | Changshu |
city_ascii | Text | Changshu |
lat | Latitude | 31.65 |
lon | Longitude | 120.7333 |
coordinates | Coordinates | 31.65, 120.7333 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Jiangsu |
population | Integer | 1,510,100 |
id | String | 1156901538 |
Field | Field type | Value |
---|---|---|
city | Page | Lianjiang |
city_ascii | Text | Lianjiang |
lat | Latitude | 21.6146 |
lon | Longitude | 110.2794 |
coordinates | Coordinates | 21.6146, 110.2794 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Guangdong |
population | Integer | 1,509,400 |
id | String | 1156944106 |
Field | Field type | Value |
---|---|---|
city | Page | Ximeicun |
city_ascii | Text | Ximeicun |
lat | Latitude | 24.9633 |
lon | Longitude | 118.3811 |
coordinates | Coordinates | 24.9633, 118.3811 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Fujian |
population | Integer | 1,508,000 |
id | String | 1156173813 |
Field | Field type | Value |
---|---|---|
city | Page | Jianguang |
city_ascii | Text | Jianguang |
lat | Latitude | 28.1958 |
lon | Longitude | 115.7833 |
coordinates | Coordinates | 28.1958, 115.7833 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Jiangxi |
population | Integer | 1,507,402 |
id | String | 1156545200 |
Field | Field type | Value |
---|---|---|
city | Page | Yucheng |
city_ascii | Text | Yucheng |
lat | Latitude | 29.9888 |
lon | Longitude | 103.0007 |
coordinates | Coordinates | 29.9888, 103.0007 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Sichuan |
population | Integer | 1,507,258 |
id | String | 1156817119 |
Field | Field type | Value |
---|---|---|
city | Page | Belém |
city_ascii | Text | Belem |
lat | Latitude | -1.4558 |
lon | Longitude | -48.5039 |
coordinates | Coordinates | -1.4558, -48.5039 |
country | Page | Brazil |
iso2 | String | BR |
iso3 | String | BRA |
admin_name | Page | Pará |
population | Integer | 1,499,641 |
id | String | 1076646823 |
Field | Field type | Value |
---|---|---|
city | Page | Guiping |
city_ascii | Text | Guiping |
lat | Latitude | 23.4 |
lon | Longitude | 110.0833 |
coordinates | Coordinates | 23.4, 110.0833 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Guangxi |
population | Integer | 1,496,904 |
id | String | 1156165517 |
Field | Field type | Value |
---|---|---|
city | Page | Leizhou |
city_ascii | Text | Leizhou |
lat | Latitude | 20.9147 |
lon | Longitude | 110.0806 |
coordinates | Coordinates | 20.9147, 110.0806 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Guangdong |
population | Integer | 1,494,700 |
id | String | 1156863840 |
Field | Field type | Value |
---|---|---|
city | Page | Gwangju |
city_ascii | Text | Gwangju |
lat | Latitude | 35.1667 |
lon | Longitude | 126.9167 |
coordinates | Coordinates | 35.1667, 126.9167 |
country | Page | South Korea |
iso2 | String | KR |
iso3 | String | KOR |
admin_name | Page | Gwangju |
population | Integer | 1,490,092 |
id | String | 1410000087 |
Field | Field type | Value |
---|---|---|
city | Page | Munich |
city_ascii | Text | Munich |
lat | Latitude | 48.1375 |
lon | Longitude | 11.575 |
coordinates | Coordinates | 48.1375, 11.575 |
country | Page | Germany |
iso2 | String | DE |
iso3 | String | DEU |
admin_name | Page | Bavaria |
population | Integer | 1,488,202 |
id | String | 1276692352 |
Field | Field type | Value |
---|---|---|
city | Page | Nāsik |
city_ascii | Text | Nasik |
lat | Latitude | 20 |
lon | Longitude | 73.7833 |
coordinates | Coordinates | 20, 73.7833 |
country | Page | India |
iso2 | String | IN |
iso3 | String | IND |
admin_name | Page | Mahārāshtra |
population | Integer | 1,486,053 |
id | String | 1356562598 |
Field | Field type | Value |
---|---|---|
city | Page | Porto Alegre |
city_ascii | Text | Porto Alegre |
lat | Latitude | -30.0328 |
lon | Longitude | -51.23 |
coordinates | Coordinates | -30.0328, -51.23 |
country | Page | Brazil |
iso2 | String | BR |
iso3 | String | BRA |
admin_name | Page | Rio Grande do Sul |
population | Integer | 1,484,941 |
id | String | 1076658221 |
Field | Field type | Value |
---|---|---|
city | Page | Valencia |
city_ascii | Text | Valencia |
lat | Latitude | 10.1667 |
lon | Longitude | -68 |
coordinates | Coordinates | 10.1667, -68 |
country | Page | Venezuela |
iso2 | String | VE |
iso3 | String | VEN |
admin_name | Page | Carabobo |
population | Integer | 1,484,430 |
id | String | 1862309871 |
Field | Field type | Value |
---|---|---|
city | Page | Onitsha |
city_ascii | Text | Onitsha |
lat | Latitude | 6.1667 |
lon | Longitude | 6.7833 |
coordinates | Coordinates | 6.1667, 6.7833 |
country | Page | Nigeria |
iso2 | String | NG |
iso3 | String | NGA |
admin_name | Page | Anambra |
population | Integer | 1,483,000 |
id | String | 1566593483 |
Field | Field type | Value |
---|---|---|
city | Page | Abu Dhabi |
city_ascii | Text | Abu Dhabi |
lat | Latitude | 24.4511 |
lon | Longitude | 54.3969 |
coordinates | Coordinates | 24.4511, 54.3969 |
country | Page | United Arab Emirates |
iso2 | String | AE |
iso3 | String | ARE |
admin_name | Page | Abū Z̧aby |
population | Integer | 1,483,000 |
id | String | 1784176710 |
Field | Field type | Value |
---|---|---|
city | Page | Virginia Beach |
city_ascii | Text | Virginia Beach |
lat | Latitude | 36.7335 |
lon | Longitude | -76.0435 |
coordinates | Coordinates | 36.7335, -76.0435 |
country | Page | United States |
iso2 | String | US |
iso3 | String | USA |
admin_name | Page | Virginia |
population | Integer | 1,478,868 |
id | String | 1840003871 |
Field | Field type | Value |
---|---|---|
city | Page | Daejeon |
city_ascii | Text | Daejeon |
lat | Latitude | 36.351 |
lon | Longitude | 127.385 |
coordinates | Coordinates | 36.351, 127.385 |
country | Page | South Korea |
iso2 | String | KR |
iso3 | String | KOR |
admin_name | Page | Daejeon |
population | Integer | 1,475,221 |
id | String | 1410993875 |
Field | Field type | Value |
---|---|---|
city | Page | Zapopan |
city_ascii | Text | Zapopan |
lat | Latitude | 20.7167 |
lon | Longitude | -103.4 |
coordinates | Coordinates | 20.7167, -103.4 |
country | Page | Mexico |
iso2 | String | MX |
iso3 | String | MEX |
admin_name | Page | Jalisco |
population | Integer | 1,476,491 |
id | String | 1484198680 |
Field | Field type | Value |
---|---|---|
city | Page | Yekaterinburg |
city_ascii | Text | Yekaterinburg |
lat | Latitude | 56.8356 |
lon | Longitude | 60.6128 |
coordinates | Coordinates | 56.8356, 60.6128 |
country | Page | Russia |
iso2 | String | RU |
iso3 | String | RUS |
admin_name | Page | Sverdlovskaya Oblast’ |
population | Integer | 1,468,833 |
id | String | 1643582706 |
Field | Field type | Value |
---|---|---|
city | Page | Huazhou |
city_ascii | Text | Huazhou |
lat | Latitude | 32.6832 |
lon | Longitude | 112.079 |
coordinates | Coordinates | 32.6832, 112.079 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Henan |
population | Integer | 1,468,061 |
id | String | 1156796734 |
Field | Field type | Value |
---|---|---|
city | Page | Kyōto |
city_ascii | Text | Kyoto |
lat | Latitude | 35.0117 |
lon | Longitude | 135.7683 |
coordinates | Coordinates | 35.0117, 135.7683 |
country | Page | Japan |
iso2 | String | JP |
iso3 | String | JPN |
admin_name | Page | Kyōto |
population | Integer | 1,464,890 |
id | String | 1392622735 |
Field | Field type | Value |
---|---|---|
city | Page | Shuangyashan |
city_ascii | Text | Shuangyashan |
lat | Latitude | 46.6388 |
lon | Longitude | 131.1545 |
coordinates | Coordinates | 46.6388, 131.1545 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Heilongjiang |
population | Integer | 1,462,626 |
id | String | 1156245904 |
Field | Field type | Value |
---|---|---|
city | Page | Pizhou |
city_ascii | Text | Pizhou |
lat | Latitude | 34.3422 |
lon | Longitude | 118.0097 |
coordinates | Coordinates | 34.3422, 118.0097 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Jiangsu |
population | Integer | 1,458,038 |
id | String | 1156114238 |
Field | Field type | Value |
---|---|---|
city | Page | El Kelaa des Srarhna |
city_ascii | Text | El Kelaa des Srarhna |
lat | Latitude | 32.05 |
lon | Longitude | -7.4 |
coordinates | Coordinates | 32.05, -7.4 |
country | Page | Morocco |
iso2 | String | MA |
iso3 | String | MAR |
admin_name | Page | Marrakech-Safi |
population | Integer | 1,450,021 |
id | String | 1504846488 |
Field | Field type | Value |
---|---|---|
city | Page | Kharkiv |
city_ascii | Text | Kharkiv |
lat | Latitude | 50 |
lon | Longitude | 36.2292 |
coordinates | Coordinates | 50, 36.2292 |
country | Page | Ukraine |
iso2 | String | UA |
iso3 | String | UKR |
admin_name | Page | Kharkivs’ka Oblast’ |
population | Integer | 1,446,107 |
id | String | 1804588111 |
Field | Field type | Value |
---|---|---|
city | Page | Yangshe |
city_ascii | Text | Yangshe |
lat | Latitude | 31.8775 |
lon | Longitude | 120.5512 |
coordinates | Coordinates | 31.8775, 120.5512 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Jiangsu |
population | Integer | 1,432,044 |
id | String | 1156203000 |
Field | Field type | Value |
---|---|---|
city | Page | Guyuan |
city_ascii | Text | Guyuan |
lat | Latitude | 36.008 |
lon | Longitude | 106.2782 |
coordinates | Coordinates | 36.008, 106.2782 |
country | Page | China |
iso2 | String | CN |
iso3 | String | CHN |
admin_name | Page | Ningxia |
population | Integer | 1,426,000 |
id | String | 1156817541 |