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Largest Smallest Twin Cities - Statistics
General Stats
- This quiz has been taken 8 times
- The average score is 5 of 75
Answer Stats
| Population | Answer | % Correct |
|---|---|---|
| 17,560,000 | Shenzhen(Guangzhou) | 83%
|
| 1,013,240 | San Jose(San Francisco) | 67%
|
| 1,008,106 | Fort Worth(Dallas) | 50%
|
| 13,866,009 | Tianjin(Beijing) | 50%
|
| 2,138,236 | Brazzaville(Kinshasa) | 33%
|
| 3,039,450 | Incheon(Seoul) | 33%
|
| 1,522,188 | Kobe(Osaka) | 33%
|
| 1,431,419 | Kyoto(Osaka) | 33%
|
| 2,385,509 | Mecca(Jeddah) | 33%
|
| 12,748,252 | Suzhou(Shanghai) | 33%
|
| 10,570,800 | Dongguan(Guangzhou) | 17%
|
| 2,559,853 | Ibadan(Lagos) | 17%
|
| 1,902,590 | Manila(Quezon City) | 17%
|
| 1,159,227 | Amritsar(Lahore) | 0%
|
| 11,544,036 | Baoding(Beijing) | 0%
|
| 2,644,058 | Bekasi(Jakarta) | 0%
|
| 2,200,000 | Bursa(Istanbul) | 0%
|
| 1,712,945 | Caloocan(Quezon City) | 0%
|
| 1,187,974 | Campinas(Sao Paulo) | 0%
|
| 1,001,902 | Changwon(Busan) | 0%
|
| 5,278,121 | Changzhou(Shanghai) | 0%
|
| 3,937,868 | Chuzhou(Nanjing) | 0%
|
| 2,163,635 | Depok(Jakarta) | 0%
|
| 1,162,472 | Dhanbad(Asansol) | 0%
|
| 1,645,352 | Ecatepec(Mexico City) | 0%
|
| 1,079,353 | Ezhou(Wuhan) | 0%
|
| 1,414,050 | Faridabad(Delhi) | 0%
|
| 9,498,863 | Foshan(Guangzhou) | 0%
|
| 1,347,559 | Freetown(Conakry) | 0%
|
| 1,729,000 | Ghaziabad(Delhi) | 0%
|
| 1,345,364 | Guarulhos(Sao Paulo) | 0%
|
| 2,511,118 | Gujranwala(Lahore) | 0%
|
| 4,664,124 | Hai Phong(Ha Noi) | 0%
|
| 1,077,075 | Howrah(Kolkata) | 0%
|
| 5,882,719 | Huanggang(Wuhan) | 0%
|
| 2,469,079 | Huangshi(Wuhan) | 0%
|
| 6,042,852 | Huizhou(Guangzhou) | 0%
|
| 3,367,579 | Huzhou(Shanghai) | 0%
|
| 1,028,366 | Jerusalem(Amman) | 0%
|
| 4,798,090 | Jiangmen(Guangzhou) | 0%
|
| 5,400,868 | Jiaxing(Shanghai) | 0%
|
| 1,246,381 | Kalyan(Mumbai) | 0%
|
| 4,581,268 | Kanpur(Lucknow) | 0%
|
| 1,538,262 | Kawasaki(Tokyo) | 0%
|
| 5,464,087 | Langfang(Beijing) | 0%
|
| 2,159,930 | Maanshan(Nanjing) | 0%
|
| 1,571,434 | Meerut(Delhi) | 0%
|
| 7,726,635 | Nantong(Shanghai) | 0%
|
| 9,618,000 | Ningbo(Hangzhou) | 0%
|
| 6,583,278 | Puebla(Mexico City) | 0%
|
| 3,357,612 | Rawalpindi(Islamabad) | 0%
|
| 1,324,854 | Saitama(Tokyo) | 0%
|
| 5,270,977 | Shaoxing(Hangzhou) | 0%
|
| 2,027,874 | Sidoarjo(Surabaya) | 0%
|
| 1,191,063 | Suwon(Seoul) | 0%
|
| 5,635,000 | Tai'an(Jinan) | 0%
|
| 1,856,642 | Tainan(Gaoxiong) | 0%
|
| 4,512,762 | Taizhou(Shanghai) | 0%
|
| 1,927,815 | Tangerang(Jakarta) | 0%
|
| 7,717,983 | Tangshan(Beijing) | 0%
|
| 1,756,300 | Tengzhou(Zaozhuang) | 0%
|
| 1,095,014 | Ulsan(Busan) | 0%
|
| 9,386,705 | Weifang(Qingdao) | 0%
|
| 9,572,903 | Wenzhou(Beijing) | 0%
|
| 7,495,000 | Wuxi(Shanghai) | 0%
|
| 2,752,171 | Xiangtan(Changsha) | 0%
|
| 4,270,371 | Xiaogan(Wuhan) | 0%
|
| 4,559,797 | Yangzhou(Nanjing) | 0%
|
| 3,769,595 | Yokohama(Tokyo) | 0%
|
| 1,889,773 | Zanzibar(Dar es Salaam) | 0%
|
| 4,113,594 | Zhaoqing(Guangzhou) | 0%
|
| 3,210,418 | Zhenjiang(Hangzhou) | 0%
|
| 4,418,060 | Zhongshan(Guangzhou) | 0%
|
| 2,439,585 | Zhuhai(Hong Kong) | 0%
|
| 3,855,609 | Zhuzhou(Changsha) | 0%
|
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Score Distribution
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