Cities near Koesan

Koesan is at (36.8108°, 127.7947°). Showing cities within the selected radius, sorted by distance.

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Latitude: 36.8108° Longitude: 127.7947° Population: 44,461 Timezone: Asia/Seoul
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Nearby cities 45 cities found

City Country Distance Population
Jungpyong South Korea 19.2 km 37,207
Chungju South Korea 22.0 km 209,483
Chinch'ŏn South Korea 31.7 km 60,964
Cheongju-si South Korea 33.3 km 852,147
Mungyeong South Korea 43.4 km 77,304
Sejong South Korea 51.0 km 394,630
Sintansin South Korea 51.3 km 15,000
Anseong South Korea 51.7 km 69,255
Sangju South Korea 54.8 km 101,267
Yeoju South Korea 55.8 km 111,897
Songgangdong South Korea 56.2 km 10,000
Cheonan South Korea 57.2 km 658,831
Pubal South Korea 59.2 km 63,026
Okcheon South Korea 60.2 km 56,634
Seonghwan South Korea 60.2 km 29,239
Icheon-si South Korea 60.7 km 196,230
Yecheon South Korea 61.3 km 54,873
Wŏnju South Korea 61.6 km 332,849
Daejeon South Korea 63.0 km 1,441,203
Pyeongtaek South Korea 66.0 km 364,694
Asan South Korea 70.5 km 97,749
Yeongdong South Korea 70.7 km 43,680
Gongju South Korea 71.7 km 72,435
Neietsu South Korea 72.8 km 25,413
Yeongju South Korea 74.4 km 84,625
Osan South Korea 74.7 km 238,788
Jenzan South Korea 77.7 km 20,673
Yangp'yŏng South Korea 80.2 km 83,367
Gwangju South Korea 81.9 km 81,780
Gimcheon South Korea 82.0 km 150,000
Kinzan South Korea 83.3 km 25,243
Yesan South Korea 86.1 km 39,409
Andong South Korea 87.1 km 153,348
Suwon South Korea 87.8 km 1,234,582
Seongnam-si South Korea 90.9 km 914,832
Gumi South Korea 91.4 km 404,691
Nonsan South Korea 92.6 km 43,845
Kunwi South Korea 94.5 km 34,293
Hanam South Korea 96.4 km 254,415
Uiwang South Korea 97.2 km 63,040
Hwaseong-si South Korea 97.4 km 640,890
Gunpo South Korea 97.4 km 286,485
Yŏnmu South Korea 98.0 km 25,015
Hongch’ŏn South Korea 98.3 km 75,251
Buyeo South Korea 99.1 km 59,823

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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