Cities near Kataiya

Kataiya is at (26.5681°, 84.0833°). Showing cities within the selected radius, sorted by distance.

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Latitude: 26.5681° Longitude: 84.0833° Population: 20,193 Timezone: Asia/Kolkata
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Nearby cities 53 cities found

City Country Distance Population
Kushinagar India 27.4 km 274,403
Deoria India 31.1 km 129,570
Mirganj India 33.1 km 26,240
Gopālganj India 37.3 km 67,339
Mairwa India 38.2 km 23,565
Padrauna India 38.7 km 47,181
Hātā India 38.7 km 12,050
Lar India 42.1 km 26,688
Rāmkola India 44.4 km 13,949
Siwān India 47.2 km 135,066
Rūdarpur India 48.8 km 30,873
Bettiah India 49.2 km 132,209
Bilthra India 52.6 km 17,228
Barauli India 54.2 km 41,877
Captainganj India 54.2 km 12,299
Sikandarpur India 58.4 km 24,177
Bagaha India 59.1 km 112,634
Areraj India 59.4 km 26,014
Chanpatia India 61.5 km 27,095
Pipraich India 62.4 km 15,856
Maniar India 65.4 km 20,462
Chillupār India 65.7 km 20,518
Mahārājgani India 65.9 km 24,282
Dohrighāt India 66.0 km 11,180
Sagauli India 69.1 km 38,815
Narkatiāganj India 70.4 km 49,507
Rāmnagar India 70.4 km 48,411
Khada India 71.2 km 16,350
Siswā Bāzār India 72.0 km 19,939
Bānsgāon India 73.5 km 14,282
Gorakhpur India 74.3 km 674,246
Ghosī India 74.7 km 39,138
Gola Bāzār India 76.8 km 10,936
Bānsdīh India 77.3 km 21,457
Kopāganj India 79.9 km 33,539
Kesariyā India 82.1 km 18,984
Rasrā India 82.2 km 31,876
Mahārāganj India 82.4 km 30,548
Mothīhāri India 83.3 km 126,158
Reoti India 85.0 km 23,819
Mau India 87.0 km 246,050
Jainpur India 87.6 km 11,674
Sāhibganj India 88.8 km 23,224
Raxaul India 88.9 km 55,536
Nichlaul India 90.1 km 17,567
Muhammadābād India 91.8 km 24,146
Birgañj Nepal 93.6 km 268,273
Bilariāganj India 94.8 km 13,244
Mubarakpur India 95.3 km 53,263
Pakridayal India 95.7 km 29,582
Maghar India 97.2 km 17,011
Chākia India 97.4 km 20,686
Anandnagar India 100.0 km 11,220

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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