Cities near Khudāganj

Khudāganj is at (28.1461°, 79.7147°). Showing cities within the selected radius, sorted by distance.

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Latitude: 28.1461° Longitude: 79.7147° Population: 12,636 Timezone: Asia/Kolkata
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Nearby cities 68 cities found

City Country Distance Population
Mīrānpur Katra India 13.7 km 29,626
Farīdpur India 18.4 km 71,783
Bīsalpur India 18.5 km 68,355
Tilhar India 20.5 km 57,043
Bilsanda India 25.6 km 15,538
Dātāganj India 32.9 km 24,562
Shāhjānpur India 35.1 km 320,434
Barkhera Kalān India 35.2 km 11,209
Bareilly India 37.0 km 745,435
Kānt India 38.1 km 24,430
Pawāyan India 39.1 km 25,708
Nawābganj India 44.6 km 34,134
Jalālābād India 47.0 km 35,051
Fatehganj West India 53.5 km 23,810
Jahānābād India 53.8 km 13,617
Pīlibhīt India 54.7 km 131,008
Khūtār India 54.8 km 15,618
Aonla India 55.7 km 50,011
Kakrāla India 58.3 km 35,690
Deoraniān India 58.6 km 19,788
Budaun India 58.9 km 161,555
Pūranpur India 58.9 km 39,988
Shāhi India 59.4 km 16,064
Shāhābād India 60.2 km 73,606
Usehat India 60.8 km 15,068
Mailāni India 63.7 km 14,212
Kālīnagar India 63.8 km 10,728
Richha India 63.8 km 19,459
Wazīrganj India 64.9 km 19,372
Shergarh India 65.6 km 14,076
Mīrganj India 66.2 km 15,335
Allāhganj India 66.8 km 13,824
Ujhāni India 71.1 km 56,309
Sarauli India 72.2 km 20,923
Shamsābād India 73.0 km 25,266
Baheri India 73.0 km 63,953
Milak India 74.2 km 28,505
Gola Gokarannāth India 74.5 km 58,986
Kaimganj India 75.6 km 32,858
Pihānī India 75.7 km 30,369
Shīshgarh India 75.7 km 23,471
Bisauli India 78.3 km 32,154
Bilsi India 78.8 km 26,320
Shāhābād India 83.4 km 34,962
Farrukhābād India 85.0 km 241,152
Patiāli India 86.7 km 13,515
Sitārganj India 87.1 km 24,225
Kichha India 87.2 km 34,904
Fatehgarh India 87.3 km 14,847
Gopāmau India 88.1 km 13,581
Ganj Dundwāra India 88.8 km 46,314
Kemrī India 88.8 km 26,726
Khatīma India 89.8 km 15,714
Alīganj India 90.1 km 26,652
Paliā Kalān India 90.6 km 38,547
Maholi India 91.9 km 19,343
Hardoī India 93.1 km 122,635
Bīlāspur India 93.1 km 39,873
Sahaswān India 94.9 km 60,953
Sahāwar India 94.9 km 22,201
Muhammadābād India 97.1 km 22,151
Chanduasi India 97.4 km 112,635
Rudrapur India 97.7 km 154,554
Sāndi India 98.2 km 25,008
Kamalganj India 98.7 km 16,222
Islāmnagar India 99.0 km 29,144
Soron India 99.2 km 28,683
Rāmpur India 99.9 km 296,418

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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