Page values for "Cities of the world"
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"_pageData" values
1 row is stored for this page| Field | 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 page| Field | 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 |