Cities near Dębno

Dębno is at (52.7390°, 14.6980°). Showing cities within the selected radius, sorted by distance.

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Latitude: 52.7390° Longitude: 14.6980° Population: 13,804 Timezone: Europe/Warsaw
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Nearby cities 120 cities found

City Country Distance Population
Kostrzyn nad Odrą Poland 17.2 km 17,778
Myślibórz Poland 23.5 km 12,092
Gorzów Wielkopolski Poland 35.5 km 114,567
Sulęcin Poland 43.3 km 10,090
Słubice Poland 44.1 km 17,567
Frankfurt (Oder) Germany 44.7 km 57,107
Barlinek Poland 45.0 km 14,385
Bad Freienwalde Germany 45.2 km 13,075
Schwedt (Oder) Germany 45.3 km 33,730
Pyrzyce Poland 47.1 km 12,893
Angermünde Germany 56.0 km 15,453
Skwierzyna Poland 56.7 km 10,051
Strausberg Germany 57.5 km 26,649
Gryfino Poland 58.8 km 21,270
Eberswalde Germany 60.0 km 41,980
Fürstenwalde Germany 60.2 km 33,539
Eisenhüttenstadt Germany 65.6 km 32,052
Petershagen Germany 66.1 km 12,931
Międzyrzecz Poland 67.9 km 18,669
Choszczno Poland 68.0 km 15,733
Stargard Poland 70.5 km 71,224
Neuenhagen Germany 71.9 km 16,170
Erkner Germany 73.0 km 11,741
Dąbie Poland 73.5 km 13,275
Schöneiche Germany 74.1 km 11,907
Bernau bei Berlin Germany 75.1 km 34,866
Hellersdorf Germany 77.0 km 84,103
Drezdenko Poland 77.0 km 10,541
Szczecin Poland 77.3 km 395,513
Mahlsdorf Germany 77.5 km 29,757
Świerczewo Poland 77.5 km 16,034
Świebodzin Poland 78.7 km 21,757
Kaulsdorf Germany 78.8 km 19,408
Marzahn Germany 79.1 km 111,508
Friedrichshagen Germany 79.3 km 19,009
Drzetowo-Grabowo Poland 79.3 km 22,655
Krosno Odrzańskie Poland 80.8 km 12,178
Biesdorf Germany 81.4 km 28,955
Buch Germany 81.8 km 12,674
Neu-Hohenschönhausen Germany 82.2 km 56,921
Berlin Köpenick Germany 82.3 km 59,561
Międzychód Poland 82.3 km 10,994
Köpenick Germany 82.6 km 67,148
Karow Germany 83.3 km 18,817
Alt-Hohenschönhausen Germany 83.5 km 50,070
Wandlitz Germany 83.5 km 19,888
Karlshorst Germany 83.7 km 28,206
Friedrichsfelde Germany 84.4 km 55,423
Adlershof Germany 84.7 km 20,210
Lichtenberg Germany 84.7 km 41,359
Zeuthen Germany 84.8 km 10,084
Bohnsdorf Germany 85.1 km 11,859
Prenzlau Germany 85.1 km 20,899
Oberschöneweide Germany 85.3 km 23,638
Rummelsburg Germany 85.5 km 25,697
Weißensee Germany 85.5 km 47,693
Niederschöneweide Germany 85.9 km 13,004
Fennpfuhl Germany 85.9 km 33,751
Altglienicke Germany 86.6 km 29,595
Johannisthal Germany 86.8 km 19,960
Französisch Buchholz Germany 86.8 km 21,449
Königs Wusterhausen Germany 86.9 km 32,513
Baumschulenweg Germany 87.4 km 18,894
Friedrichshain Germany 87.5 km 117,829
Plänterwald Germany 87.6 km 11,299
Guben Germany 87.7 km 21,608
Gubin Poland 87.8 km 16,629
Alt-Treptow Germany 88.2 km 13,167
Prenzlauer Berg Germany 88.8 km 148,878
Treptow Germany 88.9 km 50,000
Niederschönhausen Germany 89.0 km 32,037
Rudow Germany 89.1 km 42,631
Pankow Germany 89.4 km 65,375
Schönefeld Germany 89.6 km 12,015
Berlin Germany 90.1 km 3,426,354
Neukölln Germany 90.4 km 164,636
Gropiusstadt Germany 90.5 km 37,686
Mitte Germany 90.6 km 102,338
Gesundbrunnen Germany 90.6 km 93,862
Templin Germany 90.6 km 17,634
Police Poland 90.8 km 34,350
Kreuzberg Germany 91.4 km 153,135
Britz Germany 91.5 km 42,846
Märkisches Viertel Germany 91.7 km 40,119
Goleniów Poland 92.1 km 22,505
Buckow Germany 92.3 km 40,146
Tempelhof Germany 92.7 km 61,769
Wedding Germany 93.0 km 85,275
Tiergarten Germany 93.2 km 14,940
Reinickendorf Germany 93.9 km 83,972
Waidmannslust Germany 94.1 km 11,088
Wittenau Germany 94.2 km 24,726
Moabit Germany 94.7 km 81,021
Hermsdorf Germany 94.9 km 16,726
Mariendorf Germany 95.1 km 52,734
Lichtenrade Germany 95.2 km 52,110
Schöneberg Germany 95.2 km 122,658
Zehdenick Germany 95.5 km 14,809
Frohnau Germany 95.6 km 16,689
Hohen Neuendorf Germany 95.9 km 21,893
Sulechów Poland 96.3 km 18,055
Tegel Germany 96.4 km 36,764
Marienfelde Germany 96.7 km 32,270
Mahlow Germany 96.8 km 13,828
Friedenau Germany 97.2 km 27,998
Lankwitz Germany 97.3 km 43,558
Steglitz Germany 97.5 km 72,464
Wilmersdorf Germany 97.5 km 101,877
Pasewalk Germany 97.5 km 12,120
Charlottenburg-Nord Germany 97.6 km 19,422
Blankenfelde-Mahlow Germany 97.7 km 29,129
Blankenfelde Germany 97.8 km 11,929
Oranienburg Germany 98.0 km 40,793
Halensee Germany 98.6 km 12,605
Charlottenburg Germany 98.6 km 129,359
Heiligensee Germany 98.9 km 18,099
Westend Germany 99.1 km 41,328
Siemensstadt Germany 99.3 km 12,740
Schmargendorf Germany 99.5 km 22,733
Lichterfelde Germany 99.9 km 85,885

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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