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Urban Areas closest to 30°N - Statistics
General Stats
- This quiz has been taken 8 times
- The average score is 35 of 65
Answer Stats
| Distance | Population | City | % Correct |
|---|---|---|---|
| 0.0° | 18,200,000 | Cairo, Egypt | 100%
|
| 1.4° | 28,400,000 | Delhi, India | 100%
|
| 1.2° | 5,850,000 | Alexandria, Egypt | 80%
|
| 3.7° | 5,700,000 | Atlanta, USA | 80%
|
| 3.3° | 6,950,000 | Baghdad, Iraq | 80%
|
| 2.8° | 6,900,000 | Dallas, USA | 80%
|
| 0.2° | 6,500,000 | Houston, USA | 80%
|
| 4.6° | 2,150,000 | Hyderabad, Pakistan | 80%
|
| 0.7° | 4,475,000 | Kuwait City, Kuwait | 80%
|
| 1.5° | 12,200,000 | Lahore, Pakistan | 80%
|
| 4.0° | 17,700,000 | Los Angeles, USA | 80%
|
| 4.2° | 6,250,000 | Miami, USA | 80%
|
| 1.5° | 3,275,000 | Orlando, USA | 80%
|
| 3.4° | 4,500,000 | Phoenix, USA | 80%
|
| 3.6° | 3,275,000 | Rawalpindi, Pakistan | 80%
|
| 0.6° | 2,150,000 | San Antonio, USA | 80%
|
| 2.7° | 3,325,000 | San Diego, USA | 80%
|
| 1.2° | 29,500,000 | Shanghai, China | 80%
|
| 2.1° | 4,200,000 | Tampa, USA | 80%
|
| 4.3° | 6,750,000 | Xi'an, China | 80%
|
| 1.9° | 5,300,000 | Amman, Jordan | 60%
|
| 3.6° | 4,325,000 | Casablanca, Morocco | 60%
|
| 1.8° | 4,550,000 | Changsha, China | 60%
|
| 0.6° | 9,300,000 | Chengdu, China | 60%
|
| 0.5° | 7,800,000 | Chongqing, China | 60%
|
| 3.5° | 3,675,000 | Damascus, Syria | 60%
|
| 4.7° | 2,325,000 | Doha, Qatar | 60%
|
| 4.8° | 4,625,000 | Dubai, UAE | 60%
|
| 1.4° | 3,475,000 | Faisalabad, Pakistan | 60%
|
| 3.1° | 3,750,000 | Jaipur, India | 60%
|
| 2.3° | 2,950,000 | Kathmandu, Nepal | 60%
|
| 3.2° | 3,525,000 | Lucknow, India | 60%
|
| 4.3° | 4,825,000 | Monterrey, Mexico | 60%
|
| 5.0° | 9,100,000 | Taipei, Taiwan | 60%
|
| 2.1° | 2,625,000 | Tel Aviv, Israel | 60%
|
| 0.6° | 8,700,000 | Wuhan, China | 60%
|
| 2.8° | 2,175,000 | Agra, India | 40%
|
| 0.7° | 2,200,000 | Chandigarh, India | 40%
|
| 3.6° | 2,375,000 | Dammam, Saudi A. | 40%
|
| 3.9° | 4,150,000 | Fuzhou, China | 40%
|
| 3.4° | 3,450,000 | Guiyang, China | 40%
|
| 0.3° | 8,250,000 | Hangzhou, China | 40%
|
| 1.8° | 4,675,000 | Hefei, China | 40%
|
| 2.7° | 3,100,000 | Isfahan, Iran | 40%
|
| 3.6° | 3,375,000 | Kanpur, India | 40%
|
| 0.2° | 2,000,000 | Multan, Pakistan | 40%
|
| 1.3° | 4,075,000 | Nanchang, China | 40%
|
| 2.1° | 6,600,000 | Nanjing, China | 40%
|
| 0.2° | 3,200,000 | Ningbo, China | 40%
|
| 4.7° | 17,700,000 | Osaka, Japan | 40%
|
| 4.4° | 2,575,000 | Patna, India | 40%
|
| 1.4° | 2,225,000 | Taizhou, China | 40%
|
| 2.0° | 5,300,000 | Wenzhou, China | 40%
|
| 1.5° | 3,175,000 | Wuxi, China | 40%
|
| 4.2° | 2,725,000 | Xuzhou, China | 40%
|
| 4.7° | 5,400,000 | Zhengzhou, China | 40%
|
| 3.6° | 2,700,000 | Fukuoka, Japan | 20%
|
| 2.2° | 2,600,000 | Gujranwala, Pakistan | 20%
|
| 1.9° | 2,450,000 | Jiangyin, China | 20%
|
| 4.6° | 4,000,000 | Kabul, Afghanistan | 20%
|
| 3.9° | 2,050,000 | Kitakyūshū, Japan | 20%
|
| 4.6° | 2,125,000 | Luoyang, China | 20%
|
| 4.0° | 2,200,000 | Peshawar, Pakistan | 20%
|
| 1.8° | 2,725,000 | Changzhou, China | 0%
|
| 4.7° | 2,200,000 | Okayama, Japan | 0%
|
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