Cities near Munhall

Munhall is at (40.3923°, -79.9000°). Showing cities within the selected radius, sorted by distance.

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Latitude: 40.3923° Longitude: -79.9000° Population: 11,247 Timezone: America/New_York
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Nearby cities 39 cities found

City Country Distance Population
West Mifflin United States 4.3 km 20,075
Wilkinsburg United States 5.7 km 15,731
McKeesport United States 5.8 km 19,453
North Versailles United States 7.8 km 10,571
Whitehall United States 8.4 km 13,834
Baldwin United States 9.0 km 19,819
Pittsburgh United States 9.7 km 304,391
Monroeville United States 10.0 km 28,176
Jefferson Hills United States 11.6 km 11,360
South Park Township United States 13.1 km 13,416
Penn Hills United States 13.2 km 44,610
Mount Lebanon United States 13.3 km 32,730
Bethel Park United States 13.8 km 32,118
Upper Saint Clair United States 16.8 km 19,229
Plum United States 17.5 km 27,505
Murrysville United States 17.6 km 20,134
Allison Park United States 19.2 km 21,552
Lower Burrell United States 21.6 km 11,761
New Kensington United States 22.8 km 12,713
Franklin Park United States 26.5 km 14,415
Natrona Heights United States 29.5 km 10,927
Carnot-Moon United States 30.3 km 11,372
Greensburg United States 32.2 km 14,495
Cranberry Township United States 37.0 km 28,098
Washington United States 38.1 km 13,497
Fernway United States 38.9 km 12,414
Butler United States 52.1 km 13,289
Weirton Heights United States 54.2 km 19,450
Weirton United States 58.5 km 19,175
Steubenville United States 62.2 km 18,219
East Liverpool United States 62.5 km 10,846
Indiana United States 68.1 km 14,100
New Castle United States 77.7 km 22,375
Wheeling United States 78.7 km 27,648
Johnstown United States 83.2 km 19,966
Morgantown United States 84.9 km 30,708
Struthers United States 94.6 km 10,375
Boardman United States 95.2 km 35,376
Salem United States 98.6 km 12,003

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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