Cities near São José do Calçado
São José do Calçado is a city of 10,878 inhabitants in Brazil. The most populous cities near São José do Calçado within 100 km are Campos dos Goytacazes, Cachoeiro de Itapemirim, Itaperuna. Distances are measured as the crow flies.
Use the map and table below to explore the cities near São José do Calçado.
Map
The dashed circle shows the selected radius. Click a marker for details.
Nearby cities 48 cities found
Sorted by population, from largest to smallest. Distances are measured as the crow flies.
| City | Country | Distance | Population |
|---|---|---|---|
| Campos dos Goytacazes | Brazil | 87.5 km | 511,168 |
| Cachoeiro de Itapemirim | Brazil | 59.6 km | 187,019 |
| Itaperuna | Brazil | 31.4 km | 107,246 |
| Muriaé | Brazil | 74.8 km | 104,108 |
| Manhuaçu | Brazil | 94.0 km | 91,886 |
| São Francisco de Itabapoana | Brazil | 78.2 km | 47,368 |
| Santo Antônio de Pádua | Brazil | 79.0 km | 43,686 |
| Marataizes | Brazil | 86.2 km | 41,929 |
| São Fidélis | Brazil | 69.7 km | 41,197 |
| Itapemirim | Brazil | 85.2 km | 39,832 |
| São João da Barra | Brazil | 92.6 km | 38,708 |
| Bom Jesus do Itabapoana | Brazil | 12.4 km | 37,172 |
| Castelo | Brazil | 67.7 km | 36,930 |
| Carangola | Brazil | 50.7 km | 31,240 |
| Guaçuí | Brazil | 27.9 km | 29,358 |
| Alegre | Brazil | 31.7 km | 29,177 |
| Iúna | Brazil | 76.6 km | 28,590 |
| Miracema | Brazil | 70.8 km | 28,411 |
| Ibatiba | Brazil | 89.3 km | 25,380 |
| Mimoso do Sul | Brazil | 30.2 km | 24,475 |
| Espera Feliz | Brazil | 49.3 km | 24,102 |
| Itaocara | Brazil | 83.9 km | 23,643 |
| Piúma | Brazil | 99.1 km | 22,300 |
| Lajinha | Brazil | 97.2 km | 20,835 |
| Divino | Brazil | 68.7 km | 20,706 |
| Manhumirim | Brazil | 80.7 km | 20,613 |
| Vargem Alta | Brazil | 77.9 km | 19,563 |
| Muniz Freire | Brazil | 67.3 km | 18,153 |
| Porciúncula | Brazil | 40.7 km | 17,832 |
| Santa Margarida | Brazil | 94.5 km | 16,395 |
| Natividade | Brazil | 33.1 km | 15,550 |
| Cambuci | Brazil | 66.7 km | 15,070 |
| Italva | Brazil | 44.1 km | 14,517 |
| Muqui | Brazil | 33.1 km | 13,745 |
| Irupi | Brazil | 75.6 km | 13,710 |
| Presidente Kennedy | Brazil | 63.6 km | 13,696 |
| Cardoso Moreira | Brazil | 51.6 km | 13,403 |
| Iconha | Brazil | 91.3 km | 12,326 |
| Conceição do Castelo | Brazil | 84.6 km | 11,937 |
| Jerônimo Monteiro | Brazil | 37.6 km | 11,575 |
| Aperibé | Brazil | 80.9 km | 11,420 |
| São João do Manhuaçu | Brazil | 87.2 km | 11,246 |
| Rio Novo do Sul | Brazil | 76.7 km | 11,069 |
| Eugenópolis | Brazil | 55.8 km | 10,801 |
| Varre-Sai | Brazil | 24.6 km | 10,559 |
| Atilio Vivacqua | Brazil | 48.9 km | 10,540 |
| Fervedouro | Brazil | 72.9 km | 10,445 |
| Bom Jesus do Norte | Brazil | 12.1 km | 10,254 |
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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.
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How far is São José do Calçado from other cities?
Use the form below to find the distance from São José do Calçado 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
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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.