
Soest
County in North Rhine-Westphalia
County
The population development of Soest.
Name | Status | Population Census 2011-05-09 | Population Census 2022-05-15 | |
---|---|---|---|---|
Soest | County | 296,875 | 298,067 | → |
Nordrhein-Westfalen [North Rhine-Westphalia] | State | 17,538,251 | 17,890,489 |
Contents: Settlements
The population development of the settlements in Soest.
Name | Status | County | Population Census 2011-05-09 | Population Census 2022-05-15 | |
---|---|---|---|---|---|
Allagen | Settlement | Soest | 2,550 | 2,380 | → |
Altengeseke | Settlement | Soest | 760 | 740 | → |
Altenrüthen | Settlement | Soest | 510 | 455 | → |
Ampen | Settlement | Soest | 1,630 | 1,490 | → |
Anröchte | Settlement | Soest | 6,430 | 6,290 | → |
Bad Sassendorf | Settlement | Soest | 7,480 | 8,350 | → |
Bad Waldliesborn | Settlement | Soest | 3,960 | 4,590 | → |
Bad Westernkotten | Settlement | Soest | 4,040 | 4,470 | → |
Belecke | Settlement | Soest | 5,270 | 5,060 | → |
Benninghausen | Settlement | Soest | 1,490 | 1,440 | → |
Berenbrock | Settlement | Soest | 280 | 305 | → |
Berge | Settlement | Soest | 610 | 610 | → |
Bettinghausen | Settlement | Soest | 680 | 630 | → |
Bökenförde | Settlement | Soest | 1,460 | 1,430 | → |
Borgeln | Settlement | Soest | 760 | 750 | → |
Bremen - Parsit | Settlement | Soest | 4,110 | 4,210 | → |
Budberg | Settlement | Soest | 520 | 495 | → |
Büderich | Settlement | Soest | 2,770 | 2,780 | → |
Dedinghausen | Settlement | Soest | 1,680 | 1,690 | → |
Deiringsen | Settlement | Soest | 1,260 | 1,210 | → |
Delecke | Settlement | Soest | 570 | 570 | → |
Dinker | Settlement | Soest | 710 | 660 | → |
Drewer | Settlement | Soest | 650 | 640 | → |
Echthausen | Settlement | Soest | 1,460 | 1,400 | → |
Effeln | Settlement | Soest | 680 | 620 | → |
Ehringhausen | Settlement | Soest | 1,510 | 1,570 | → |
Eickelborn | Settlement | Soest | 2,280 | 1,990 | → |
Eikeloh | Settlement | Soest | 465 | 455 | → |
Eringerfeld | Settlement | Soest | 770 | 325 | → |
Erwitte | Settlement | Soest | 6,190 | 6,300 | → |
Flerke | Settlement | Soest | 405 | 390 | → |
Garfeln | Settlement | Soest | 530 | 495 | → |
Geseke | Settlement | Soest | 13,700 | 14,050 | → |
Günne | Settlement | Soest | 1,630 | 1,550 | → |
Hattrop | Settlement | Soest | 410 | 370 | → |
Hellinghausen | Settlement | Soest | 415 | 405 | → |
Herringhausen | Settlement | Soest | 350 | 315 | → |
Herzfeld | Settlement | Soest | 2,290 | 2,410 | → |
Hilbeck | Settlement | Soest | 1,080 | 1,020 | → |
Hirschberg | Settlement | Soest | 1,610 | 1,550 | → |
Höingen | Settlement | Soest | 1,830 | 1,730 | → |
Holtum | Settlement | Soest | 1,010 | 1,030 | → |
Horn | Settlement | Soest | 860 | 860 | → |
Hörste | Settlement | Soest | 1,320 | 1,240 | → |
Hovestadt | Settlement | Soest | 1,240 | 1,240 | → |
Hultrop | Settlement | Soest | 485 | 460 | → |
Hünningen | Settlement | Soest | 440 | 440 | → |
Kallenhardt | Settlement | Soest | 1,400 | 1,280 | → |
Klieve | Settlement | Soest | 390 | 350 | → |
Körbecke | Settlement | Soest | 3,590 | 3,690 | → |
Langeneicke | Settlement | Soest | 1,060 | 1,070 | → |
Langenstraße - Heddinghausen | Settlement | Soest | 425 | 460 | → |
Lippborg | Settlement | Soest | 2,100 | 2,010 | → |
Lipperbruch | Settlement | Soest | 2,460 | 2,860 | → |
Lippstadt | Settlement | Soest | 47,030 | 48,820 | → |
Lüttringen | Settlement | Soest | 890 | 850 | → |
Mawicke | Settlement | Soest | 470 | 440 | → |
Meiningsen | Settlement | Soest | 400 | 370 | → |
Mellrich | Settlement | Soest | 630 | 680 | → |
Menzel | Settlement | Soest | 370 | 305 | → |
Mönninghausen | Settlement | Soest | 740 | 790 | → |
Müllingsen | Settlement | Soest | 305 | 340 | → |
Neuengeseke | Settlement | Soest | 500 | 485 | → |
Niederbergheim | Settlement | Soest | 710 | 760 | → |
Niederense | Settlement | Soest | 2,920 | 2,920 | → |
Nordwald | Settlement | Soest | 440 | 410 | → |
Oestereiden | Settlement | Soest | 790 | 740 | → |
Oestinghausen | Settlement | Soest | 1,830 | 1,800 | → |
Ostinghausen | Settlement | Soest | 405 | 355 | → |
Ostönnen | Settlement | Soest | 850 | 870 | → |
Overhagen | Settlement | Soest | 1,230 | 1,180 | → |
Rüthen | Settlement | Soest | 4,520 | 4,300 | → |
Schallern | Settlement | Soest | 305 | 305 | → |
Scheidingen | Settlement | Soest | 1,280 | 1,300 | → |
Schmerlecke | Settlement | Soest | 315 | 360 | → |
Schwefe | Settlement | Soest | 610 | 620 | → |
Sichtigvor - Mülheim | Settlement | Soest | 2,940 | 2,800 | → |
Siedlung Pferdekamp | Settlement | Soest | 345 | 320 | → |
Sieveringen | Settlement | Soest | 315 | 325 | → |
Soest | Settlement | Soest | 39,440 | 39,380 | → |
Sönnern | Settlement | Soest | 800 | 760 | → |
Stirpe | Settlement | Soest | 950 | 960 | → |
Stockum | Settlement | Soest | 570 | 630 | → |
Störmede | Settlement | Soest | 2,230 | 2,400 | → |
Südrandweg | Settlement | Soest | 375 | 370 | → |
Vellinghausen | Settlement | Soest | 340 | 345 | → |
Völlinghausen | Settlement | Soest | 710 | 690 | → |
Völlinghausen | Settlement | Soest | 840 | 780 | → |
Waltringen | Settlement | Soest | 610 | 580 | → |
Wamel | Settlement | Soest | 600 | 590 | → |
Warstein | Settlement | Soest | 11,920 | 11,500 | → |
Welver | Settlement | Soest | 5,140 | 5,030 | → |
Werl | Settlement | Soest | 20,350 | 20,380 | → |
Weslarn | Settlement | Soest | 800 | 720 | → |
Westereiden | Settlement | Soest | 465 | 470 | → |
Westönnen | Settlement | Soest | 2,280 | 2,140 | → |
Wickede (Ruhr) | Settlement | Soest | 9,070 | 8,820 | → |
Wippringsen | Settlement | Soest | 455 | 430 | → |
Zentrale Unterbringungseinrichtung Echtrop | Institution | Soest | 0 | 630 | → |
Zentrale Unterbringungseinrichtung Wickede | Institution | Soest | 5 | 415 | → |
Source: Population Grid: Statistisches Bundesamt Deutschland.
Explanation: Boundaries and population of settlements are computed by »City Population« using population figures of a 100m grid and "Ortlagen" geometries. The settlements are delimited by unsettled and not built-up areas as well as by municipal boundaries. Because of the computation method, the population figures are not exact and therefore rounded. Area figures are calculated by geospatial data.