Cities near Ganghwa-gun

Ganghwa-gun is at (37.7472°, 126.4856°). Showing cities within the selected radius, sorted by distance.

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Latitude: 37.7472° Longitude: 126.4856° Population: 25,535 Timezone: Asia/Seoul
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Nearby cities 43 cities found

City Country Distance Population
Gimpo-si South Korea 24.4 km 203,391
Kaesŏng North Korea 25.6 km 338,155
Munsan South Korea 29.1 km 43,208
Paech’ŏn-ŭp North Korea 31.8 km 159,825
Goyang-si South Korea 32.4 km 1,061,752
Yŏnan-ŭp North Korea 33.7 km 22,665
Incheon South Korea 37.7 km 3,015,482
Bucheon-si South Korea 38.1 km 850,731
Gwangmyeong South Korea 45.0 km 357,545
Seoul South Korea 47.8 km 10,349,312
Pongch’ŏn-ŭp North Korea 48.6 km 79,740
Yongsan-dong South Korea 49.3 km 12,612
Uijeongbu-si South Korea 49.4 km 479,141
Siheungdong South Korea 49.8 km 128,142
Yangju South Korea 51.5 km 179,923
Ch’ŏngdan-ŭp North Korea 54.1 km 142,607
Anyang-si South Korea 55.4 km 595,644
Ansan-si South Korea 55.7 km 623,256
Gunpo South Korea 58.6 km 286,485
Uiwang South Korea 58.9 km 63,040
Guri-si South Korea 59.9 km 195,236
Namyangju South Korea 65.3 km 90,798
Hwaseong-si South Korea 66.8 km 640,890
Seongnam-si South Korea 66.9 km 914,832
Wabu South Korea 67.0 km 96,775
Hanam South Korea 67.5 km 254,415
Suwon South Korea 68.6 km 1,234,582
Hwado South Korea 73.1 km 106,358
Haeju North Korea 75.1 km 222,396
Sinmak North Korea 77.6 km 18,669
Gwangju South Korea 77.7 km 81,780
Cheorwon South Korea 82.2 km 40,646
Ayang-ni North Korea 82.2 km 16,104
Sinwŏn-ŭp North Korea 83.4 km 83,161
Osan South Korea 83.9 km 238,788
Taesal-li South Korea 86.3 km 23,149
Kangnyŏng North Korea 87.5 km 106,827
Pyŏksŏng-ŭp North Korea 88.1 km 12,937
Gapyeong South Korea 90.6 km 55,415
Yangp'yŏng South Korea 93.0 km 83,367
Tangjin South Korea 95.7 km 32,778
Icheon-si South Korea 99.2 km 196,230
Pyeongtaek South Korea 99.2 km 364,694

What is this tool?

The Cities Near tool lets you explore all populated places within a chosen radius of any city in the world. Enter a city, pick a radius (50, 100, 200, or 500 km), and get an instant interactive map and ranked list — sorted from closest to farthest.

This is useful for trip planning, geography research, or simply satisfying your curiosity about what lies around a given city. The underlying dataset comes from GeoNames and covers 70,000+ populated places worldwide.

How does the distance calculation work?

Distances are calculated using the Haversine formula, which gives the great-circle distance between two points on a sphere — the shortest path over the Earth's surface. The result is accurate to within a few kilometres for most city pairs. Note that the Haversine formula assumes a perfectly spherical Earth; the true Earth is slightly flattened, so very long distances may differ by up to 0.5% from the exact geodetic distance.

Cities near famous places

  • Within 100 km of Paris: Versailles, Chartres, Reims, Rouen — all classic day-trip destinations.
  • Within 200 km of Tokyo: Yokohama, Kawasaki, Sagamihara, Chiba, Shizuoka — the vast Kantō metropolitan area.
  • Within 500 km of Istanbul: Ankara, Bursa, Thessaloniki, Sofia, Izmir — crossing into three countries.

Frequently Asked Questions

What is the maximum radius I can search?

The tool offers radii of 50, 100, 200, and 500 km. For reference, a 500 km radius around Paris would cover most of France plus parts of Belgium, Germany, and Switzerland. Use the minimum population filter to narrow down the results to cities of the size you care about.

How is distance measured — straight line or road distance?

The distance shown is the straight-line great-circle distance (as the crow flies), not the road distance. Road distances are always longer due to routes, terrain, and urban layouts. This tool is intended for geographic exploration, not navigation.

What data source is used?

City data comes from the GeoNames geographical database, which aggregates official government sources worldwide. It includes name, coordinates, population, country, and timezone for over 70,000 populated places. Coordinates are accurate to 4–6 decimal places.


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