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First-Level Subdivisions With Over 10 Million Population - Statistics
General Stats
-
This quiz has been taken 244 times
242 since last reset
- The average score is 60 of 114
Answer Stats
| Country | Subdivisions | % Correct |
|---|---|---|
| Argentina | Buenos Aires (province) | 95%
|
| Mexico | México (state) | 94%
|
| Brazil | Rio de Janeiro | 94%
|
| Bangladesh | Dhaka | 92%
|
| Canada | Ontario | 92%
|
| Brazil | São Paulo | 92%
|
| United States | California | 91%
|
| Russia | Moscow (City) | 91%
|
| Egypt | Cairo | 90%
|
| Nigeria | Lagos | 90%
|
| United States | New York | 90%
|
| United States | Texas | 90%
|
| Japan | Tokyo | 90%
|
| United States | Florida | 89%
|
| DR Congo | Kinshasa | 88%
|
| Germany | Bavaria | 86%
|
| Vietnam | Ho Chi Minh City | 86%
|
| United States | Illinois | 86%
|
| Turkey | Istanbul | 86%
|
| Peru | Lima | 86%
|
| Iran | Tehran | 86%
|
| United States | Pennsylvania | 85%
|
| United States | Georgia | 84%
|
| China | Beijing | 82%
|
| United States | North Carolina | 82%
|
| France | Île-de-France | 81%
|
| United States | Ohio | 81%
|
| Philippines | Metro Manila | 80%
|
| United States | Michigan | 80%
|
| Tanzania | Dar es Salaam | 79%
|
| China | Shanghai | 79%
|
| Indonesia | Jakarta | 78%
|
| United Kingdom | England | 76%
|
| Netherlands* | Netherlands | 75%
|
| Bangladesh | Chittagong | 74%
|
| India | Delhi | 72%
|
| India | Pakistan | Punjab | 69%
|
| India | Uttar Pradesh | 69%
|
| Nigeria | Kano | 68%
|
| Italy | Lombardy | 66%
|
| Germany | North Rhine-Westphalia | 64%
|
| China | Guangdong | 61%
|
| Germany | Baden-Württemberg | 60%
|
| China | Inner Mongolia | 58%
|
| India | West Bengal | 58%
|
| India | Jammu and Kashmir | 57%
|
| India | Gujarat | 56%
|
| China | Sichuan | 56%
|
| China | Tianjin | 56%
|
| China | Chongqing | 54%
|
| Indonesia | East Java | 51%
|
| China | Hainan | 51%
|
| Indonesia | West Java | 50%
|
| China | Xinjiang | 49%
|
| China | Hubei | 48%
|
| India | Kerala | 48%
|
| India | Tamil Nadu | 48%
|
| Pakistan | Balochistan | 47%
|
| China | Hebei | 46%
|
| India | Rajasthan | 45%
|
| Indonesia | Central Java | 44%
|
| Pakistan | Sindh | 44%
|
| China | Yunnan | 43%
|
| India | Assam | 42%
|
| China | Fujian | 39%
|
| Brazil | Bahia | 38%
|
| China | Hunan | 38%
|
| India | Maharashtra | 38%
|
| Brazil | Minas Gerais | 38%
|
| China | Shaanxi | 38%
|
| China | Shandong | 38%
|
| China | Henan | 37%
|
| India | Madhya Pradesh | 37%
|
| China | Shanxi | 36%
|
| India | Andhra Pradesh | 35%
|
| China | Anhui | 35%
|
| India | Bihar | 35%
|
| India | Odisha | 35%
|
| Brazil | Rio Grande do Sul | 35%
|
| China | Guangxi | 34%
|
| Ethiopia | Amhara | 33%
|
| China | Jiangsu | 33%
|
| Ethiopia | Somali | 33%
|
| China | Heilongjiang | 32%
|
| China | Jilin | 32%
|
| India | Karnataka | 31%
|
| China | Liaoning | 31%
|
| Ethiopia | Oromia | 30%
|
| Brazil | Paraná | 30%
|
| China | Gansu | 29%
|
| South Africa | KwaZulu-Natal | 29%
|
| South Africa | Gauteng | 28%
|
| China | Guizhou | 28%
|
| China | Jiangxi | 28%
|
| Indonesia | North Sumatra | 28%
|
| India | Telangana | 28%
|
| China | Zhejiang | 27%
|
| India | Jharkhand | 26%
|
| Bangladesh | Sylhet | 26%
|
| India | Chhattisgarh | 25%
|
| India | Uttarakhand | 25%
|
| India | Haryana | 24%
|
| Bangladesh | Khulna | 21%
|
| Bangladesh | Rangpur | 19%
|
| Philippines | Central Luzon | 14%
|
| Pakistan | Khyber Pakhtunkhwa | 14%
|
| Indonesia | Banten | 12%
|
| Bangladesh | Mymensingh | 12%
|
| Bangladesh | Rajshahi | 12%
|
| South Korea | Gyeonggi | 10%
|
| Philippines | Calabarzon (Southern Tagalog) | 7%
|
| Nigeria | Katsina | 5%
|
| Ethiopia | Central Ethiopia | 4%
|
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