Cities near Yangba

Yangba is at (33.0103°, 105.7664°). Showing cities within the selected radius, sorted by distance.

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Latitude: 33.0103° Longitude: 105.7664° Population: 11,583 Timezone: Asia/Shanghai
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Nearby cities 54 cities found

City Country Distance Population
Zuitai China 38.7 km 27,027
Chaotian China 42.1 km 29,424
Fengxiang China 44.1 km 10,665
Pipa China 45.6 km 14,053
Zhongmiao China 47.0 km 11,851
Luotang China 47.2 km 25,871
Hanyuan China 49.2 km 50,440
Yuntai China 49.4 km 10,962
Lüeyang Chengguanzhen China 50.9 km 67,496
Changba China 55.8 km 12,488
Bikou China 57.2 km 16,247
Sancang China 60.7 km 12,833
Douping China 62.9 km 12,772
Guangyuan China 63.4 km 516,424
Sanhe China 64.4 km 11,916
Huangchen China 65.5 km 10,635
Foya China 66.1 km 12,155
Fanba China 68.5 km 10,542
Guohe China 68.9 km 12,585
Wuku China 70.2 km 11,166
Waina China 70.2 km 19,394
Jifeng China 72.4 km 16,273
Xiaochuan China 76.9 km 18,098
Yulong China 77.8 km 15,397
Hanwang China 79.5 km 27,674
Longfeng China 79.6 km 10,207
Paosha China 79.8 km 21,907
Chengxian Chengguanzhen China 82.1 km 69,427
Shaba China 82.3 km 10,107
Hongchuan China 83.1 km 10,405
Xiasi China 83.5 km 32,400
Zhifang China 83.8 km 11,799
Liping China 84.5 km 10,287
Diancun China 84.7 km 14,852
Dongjiang China 86.3 km 16,816
Lichuan China 86.4 km 12,554
Anhua China 86.6 km 29,916
Bailin China 87.8 km 11,144
Shuiyang China 87.8 km 13,029
Xigaoshan China 87.9 km 16,550
Mianyang China 88.0 km 84,606
Chengjiao China 89.1 km 20,469
Huixian Chengguanzhen China 89.2 km 39,643
Qiaotou China 89.6 km 21,273
Longnan China 90.0 km 85,826
Niyang China 90.1 km 13,284
Majie China 90.3 km 28,369
Fujia China 91.6 km 23,660
Yinxingshu China 91.9 km 14,806
Shixia China 92.9 km 11,072
Hanlin China 95.6 km 10,798
Jiachuan China 98.5 km 38,421
Jiangluo China 99.2 km 19,204
Donghe China 99.9 km 81,953

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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