Cities near Ipu

Ipu is a city of 41,081 inhabitants in Brazil. The most populous cities near Ipu within 100 km are Sobral, Tianguá, Crateús. Distances are measured as the crow flies.

Use the map and table below to explore the cities near Ipu.

Radius :
Min. pop. :

Map

The dashed circle shows the selected radius. Click a marker for details.

Latitude: -4.3222° Longitude: -40.7108° Population: 41,081 Timezone: America/Fortaleza
Link copied!

Nearby cities 34 cities found

Sorted by population, from largest to smallest. Distances are measured as the crow flies.

City Country Distance Population
Sobral Brazil 81.3 km 203,023
Tianguá Brazil 72.6 km 81,506
Crateús Brazil 95.2 km 76,390
Viçosa do Ceará Brazil 94.5 km 59,712
São Benedito Brazil 34.9 km 47,640
Guaraciaba do Norte Brazil 17.7 km 42,053
Santa Quitéria Brazil 61.5 km 40,183
Pedro II Brazil 83.7 km 37,894
Massapê Brazil 97.8 km 37,697
Ipueiras Brazil 24.4 km 36,798
Ubajara Brazil 57.0 km 32,767
Nova Russas Brazil 45.8 km 30,699
Tamboril Brazil 71.3 km 24,815
Forquilha Brazil 76.7 km 24,173
Ibiapina Brazil 48.6 km 23,965
Coreaú Brazil 86.0 km 20,953
Reriutaba Brazil 24.6 km 18,606
Varjota Brazil 29.6 km 18,105
Hidrolândia Brazil 35.3 km 17,855
Cariré Brazil 49.0 km 17,632
Croatá Brazil 23.9 km 17,481
Carnaubal Brazil 31.0 km 17,210
Monsenhor Tabosa Brazil 88.6 km 17,149
Frecheirinha Brazil 63.6 km 15,657
Meruoca Brazil 91.3 km 15,157
Graça Brazil 31.1 km 13,801
Mucambo Brazil 46.1 km 13,666
Poranga Brazil 52.7 km 12,065
Ipaporanga Brazil 64.5 km 11,575
Alcântaras Brazil 83.6 km 11,369
Ararendá Brazil 49.7 km 11,096
Groaíras Brazil 58.2 km 10,910
Pires Ferreira Brazil 11.1 km 10,606
Catunda Brazil 67.1 km 10,444

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 list — sorted from most to least populous.

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.

Start typing to see suggestions

How far is Ipu from other cities?

Use the form below to find the distance from Ipu to any other city in the world.

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.


Send your feedback