Cities near Valparaíso de Goiás

Valparaíso de Goiás is at (-16.0658°, -47.9786°). Showing cities within the selected radius, sorted by distance.

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Latitude: -16.0658° Longitude: -47.9786° Population: 198,861 Timezone: America/Sao_Paulo
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Nearby cities 44 cities found

City Country Distance Population
Novo Gama Brazil 6.5 km 103,804
Santa Maria Brazil 6.7 km 116,622
Cidade Ocidental Brazil 6.9 km 91,767
Gama Brazil 10.9 km 139,467
Park Way Brazil 18.0 km 22,289
Recanto das Emas Brazil 19.7 km 115,550
Riacho Fundo II Brazil 20.0 km 105,210
Riacho Fundo Brazil 20.6 km 39,552
Luziânia Brazil 21.0 km 209,129
Núcleo Bandeirante Brazil 21.7 km 21,636
Candangolândia Brazil 24.0 km 14,040
Samambaia Brazil 24.4 km 218,840
Águas Claras Brazil 25.7 km 128,486
Lago Sul Brazil 26.5 km 26,244
Taguatinga Brazil 27.1 km 193,367
Pôr do Sol Brazil 28.1 km 101,866
São Sebastião Brazil 28.2 km 98,612
Jardim Botânico Brazil 28.4 km 77,767
Guará Brazil 28.5 km 120,641
Vicente Pires Brazil 29.0 km 96,871
Sudoeste/Octagonal Brazil 29.9 km 44,354
Cruzeiro Brazil 30.9 km 25,741
Setor Complementar de Indústria e Abastecimento Brazil 31.6 km 36,042
Plano Piloto Brazil 31.9 km 198,697
Brasília Brazil 32.2 km 2,207,718
Santo Antônio do Descoberto Brazil 32.7 km 72,127
Ceilândia Brazil 32.9 km 287,023
Paranoá Brazil 38.6 km 63,923
Lago Norte Brazil 38.6 km 41,778
Itapoã Brazil 41.7 km 65,408
Águas Lindas de Goiás Brazil 46.8 km 225,693
Brazlândia Brazil 48.9 km 55,561
Sobradinho II Brazil 50.5 km 82,785
Sobradinho Brazil 50.6 km 72,273
Fercal Brazil 53.7 km 10,268
Alexânia Brazil 56.5 km 27,008
Planaltina Brazil 61.0 km 189,412
Planaltina Brazil 78.5 km 105,031
Cristalina Brazil 87.1 km 60,210
Corumbá de Goiás Brazil 90.1 km 10,562
Cocalzinho de Goiás Brazil 90.4 km 25,016
Formosa Brazil 90.6 km 115,901
Vianópolis Brazil 94.6 km 14,956
Silvânia Brazil 95.1 km 22,245

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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