Gütersloh
County in North Rhine-Westphalia
County
The population development of Gütersloh.
| Name | Status | Population Census 2011-05-09 | Population Census 2022-05-15 | |
|---|---|---|---|---|
| Gütersloh | County | 350,420 | 359,571 | → |
| Nordrhein-Westfalen [North Rhine-Westphalia] | State | 17,538,251 | 17,890,489 |
Contents: Settlements
The population development of the settlements in Gütersloh.
icon links to further information about a selected place including its population structure (gender, age groups, citizenship, country of birth).| Name | Status | County | Population Census 2011-05-09 | Population Census 2022-05-15 | |
|---|---|---|---|---|---|
| Barnhausen | Settlement | Gütersloh | 350 | 330 | → |
| Batenhorst | Settlement | Gütersloh | 540 | 550 | → |
| Benteler | Settlement | Gütersloh | 1,610 | 1,660 | → |
| Blankenhagen | Settlement | Gütersloh | 3,100 | 3,710 | → |
| Bockhorst | Settlement | Gütersloh | 910 | 880 | → |
| Bokel | Settlement | Gütersloh | 510 | 495 | → |
| Bokel | Settlement | Gütersloh | 1,330 | 1,300 | → |
| Borgholzhausen | Settlement | Gütersloh | 4,470 | 4,680 | → |
| Brockhagen | Settlement | Gütersloh | 2,000 | 1,940 | → |
| Clarholz | Settlement | Gütersloh | 4,650 | 5,080 | → |
| Druffel | Settlement | Gütersloh | 500 | 540 | → |
| Friedrichsdorf | Settlement | Gütersloh | 5,610 | 5,580 | → |
| Greffen | Settlement | Gütersloh | 2,420 | 2,530 | → |
| Gütersloh | Settlement | Gütersloh | 81,760 | 86,380 | → |
| Häger | Settlement | Gütersloh | 800 | 770 | → |
| Halle (Westf.) | Settlement | Gütersloh | 15,490 | 15,980 | → |
| Harsewinkel | Settlement | Gütersloh | 15,230 | 15,920 | → |
| Herzebrock | Settlement | Gütersloh | 7,820 | 8,180 | → |
| Hesseln | Settlement | Gütersloh | 1,100 | 1,060 | → |
| Hollen | Settlement | Gütersloh | 320 | 300 | → |
| Hörste | Settlement | Gütersloh | 1,250 | 1,180 | → |
| Kaunitz | Settlement | Gütersloh | 2,660 | 2,790 | → |
| Kleekamp | Settlement | Gütersloh | 420 | 425 | → |
| Langenberg | Settlement | Gütersloh | 3,620 | 3,760 | → |
| Lintel | Settlement | Gütersloh | 630 | 600 | → |
| Loxten | Settlement | Gütersloh | 1,170 | 1,190 | → |
| Marienfeld | Settlement | Gütersloh | 3,660 | 4,300 | → |
| Mastholte | Settlement | Gütersloh | 4,800 | 4,970 | → |
| Niehorst | Settlement | Gütersloh | 455 | 475 | → |
| Obersteinhagen (Nordost) | Settlement | Gütersloh | 580 | 600 | → |
| Oesterweg | Settlement | Gütersloh | 1,720 | 1,740 | → |
| Oldendorf | Settlement | Gütersloh | 540 | 530 | → |
| Peckeloh | Settlement | Gütersloh | 1,680 | 1,680 | → |
| Pixel | Settlement | Gütersloh | 330 | 340 | → |
| Reilmann-Siedlung | Settlement | Gütersloh | 440 | 435 | → |
| Rheda-Wiedenbrück | Settlement | Gütersloh | 41,820 | 42,940 | → |
| Rietberg | Settlement | Gütersloh | 14,570 | 15,040 | → |
| Rote Erde - Amshausen | Settlement | Gütersloh | 6,260 | 6,280 | → |
| Sankt Vit | Settlement | Gütersloh | 1,450 | 1,500 | → |
| Schloß Holte-Stukenbrock | Settlement | Gütersloh | 24,080 | 23,930 | → |
| Selhorst | Settlement | Gütersloh | 1,640 | 1,780 | → |
| Sende | Settlement | Gütersloh | 290 | 315 | → |
| Steinhagen | Settlement | Gütersloh | 8,580 | 8,420 | → |
| Stukenbrock-Senne | Settlement | Gütersloh | 650 | 690 | → |
| Sürenheide | Settlement | Gütersloh | 3,670 | 3,550 | → |
| Theenhausen | Settlement | Gütersloh | 670 | 610 | → |
| Varensell | Settlement | Gütersloh | 1,410 | 1,420 | → |
| Verl | Settlement | Gütersloh | 14,580 | 15,200 | → |
| Versmold | Settlement | Gütersloh | 10,980 | 11,550 | → |
| Werther (Westf.) | Settlement | Gütersloh | 8,570 | 8,380 | → |
| Westbarthausen | Settlement | Gütersloh | 540 | 510 | → |
| Westerwiehe | Settlement | Gütersloh | 1,520 | 1,680 | → |
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.