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Biggest Asian Cities by Decade (1950-2040) - Statistics
General Stats
- This quiz has been taken 47 times
- The average score is 91 of 100
Answer Stats
| Year | Rank | Population | Answer | % Correct |
|---|---|---|---|---|
| 10. | 5.6M | Delhi | 100%
| |
| 7. | 9.29M | Delhi | 100%
| |
| 6. | 15.51M | Delhi | 100%
| |
| 4. | 21.85M | Delhi | 100%
| |
| 3. | 30.08M | Delhi | 100%
| |
| 3. | 38.61M | Delhi | 100%
| |
| 2040 | 1. | 47.54M | Delhi | 100%
|
| 1950 | 1. | 11.27M | Tokyo | 100%
|
| 1960 | 1. | 16.9M | Tokyo | 100%
|
| 1970 | 1. | 23.31M | Tokyo | 100%
|
| 1980 | 1. | 28.57M | Tokyo | 100%
|
| 1990 | 1. | 32.44M | Tokyo | 100%
|
| 2000 | 1. | 34.4M | Tokyo | 100%
|
| 2010 | 1. | 37.38M | Tokyo | 100%
|
| 2020 | 1. | 40.75M | Tokyo | 100%
|
| 2030 | 1. | 39.62M | Tokyo | 100%
|
| 4. | 38.32M | Tokyo | 100%
| |
| 9. | 3.94M | Beijing | 98%
| |
| 9. | 4.43M | Beijing | 98%
| |
| 10. | 10.18M | Beijing | 98%
| |
| 9. | 16.29M | Beijing | 98%
| |
| 8. | 20.36M | Beijing | 98%
| |
| 9. | 24.15M | Beijing | 98%
| |
| 10. | 26.09M | Beijing | 98%
| |
| 5. | 3.11M | Mumbai | 98%
| |
| 7. | 4.47M | Mumbai | 98%
| |
| 7. | 6.42M | Mumbai | 98%
| |
| 5. | 9.21M | Mumbai | 98%
| |
| 5. | 12.29M | Mumbai | 98%
| |
| 5. | 16.04M | Mumbai | 98%
| |
| 8. | 18.21M | Mumbai | 98%
| |
| 9. | 20.36M | Mumbai | 98%
| |
| 8. | 24.38M | Mumbai | 98%
| |
| 7. | 29.89M | Mumbai | 98%
| |
| 2. | 7.05M | Osaka | 98%
| |
| 2. | 10.77M | Osaka | 98%
| |
| 2. | 15.27M | Osaka | 98%
| |
| 2. | 17.03M | Osaka | 98%
| |
| 3. | 18.35M | Osaka | 98%
| |
| 4. | 18.67M | Osaka | 98%
| |
| 7. | 19.29M | Osaka | 98%
| |
| 10. | 19.17M | Osaka | 98%
| |
| 4. | 4.33M | Shanghai | 98%
| |
| 3. | 6.84M | Shanghai | 98%
| |
| 8. | 6.05M | Shanghai | 98%
| |
| 9. | 5.94M | Shanghai | 98%
| |
| 8. | 8.54M | Shanghai | 98%
| |
| 7. | 14.08M | Shanghai | 98%
| |
| 6. | 20.17M | Shanghai | 98%
| |
| 4. | 26.89M | Shanghai | 98%
| |
| 5. | 32.68M | Shanghai | 98%
| |
| 5. | 35.32M | Shanghai | 98%
| |
| 6. | 2.95M | Jakarta | 93%
| |
| 5. | 5.28M | Jakarta | 93%
| |
| 4. | 7.87M | Jakarta | 93%
| |
| 4. | 12.37M | Jakarta | 93%
| |
| 4. | 17.36M | Jakarta | 93%
| |
| 3. | 21.01M | Jakarta | 93%
| |
| 2. | 26.23M | Jakarta | 93%
| |
| 2. | 32.43M | Jakarta | 93%
| |
| 2. | 39.48M | Jakarta | 93%
| |
| 2. | 45.88M | Jakarta | 93%
| |
| 3. | 4.62M | Kolkata | 93%
| |
| 4. | 5.95M | Kolkata | 93%
| |
| 5. | 7.33M | Kolkata | 93%
| |
| 6. | 9.11M | Kolkata | 93%
| |
| 6. | 10.93M | Kolkata | 93%
| |
| 9. | 13.04M | Kolkata | 93%
| |
| 8. | 5.96M | Manila | 93%
| |
| 10. | 7.93K | Manila | 93%
| |
| 8. | 13.27M | Manila | 93%
| |
| 5. | 20.45M | Manila | 93%
| |
| 5. | 26.5M | Manila | 93%
| |
| 4. | 33.37M | Manila | 93%
| |
| 3. | 41.33M | Manila | 93%
| |
| 8. | 2.29M | Seoul | 88%
| |
| 6. | 4.81M | Seoul | 88%
| |
| 3. | 9.91M | Seoul | 88%
| |
| 3. | 15.58M | Seoul | 88%
| |
| 2. | 20.87M | Seoul | 88%
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| 2. | 22.41M | Seoul | 88%
| |
| 3. | 23.82M | Seoul | 88%
| |
| 6. | 25.46M | Seoul | 88%
| |
| 7. | 26.42M | Seoul | 88%
| |
| 9. | 26.1M | Seoul | 88%
| |
| 10. | 20.25M | Karachi | 86%
| |
| 8. | 27.59M | Karachi | 86%
| |
| 9. | 2.26M | Nagoya | 74%
| |
| 8. | 4.4M | Nagoya | 74%
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| 6. | 6.61M | Nagoya | 74%
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| 7. | 7.78M | Nagoya | 74%
| |
| 9. | 8.39M | Nagoya | 74%
| |
| 10. | 14.63M | Dhaka | 72%
| |
| 7. | 20.84M | Dhaka | 72%
| |
| 6. | 27.81M | Dhaka | 72%
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| 6. | 34.22M | Dhaka | 72%
| |
| 7. | 2.47M | Tianjin | 47%
| |
| 10. | 2.95M | Tianjin | 47%
| |
| 10. | 4.07M | Kitakyushu/Fukuoka | 21%
| |
| 10 | 2.15M | Shenyang | 14%
|
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