Cloppenburg
County in Lower Saxony
County
The population development of Cloppenburg.
| Name | Status | Population Census 2011-05-09 | Population Census 2022-05-15 | |
|---|---|---|---|---|
| Cloppenburg | County | 159,337 | 175,408 | → |
| Niedersachsen [Lower Saxony] | State | 7,777,992 | 7,943,265 |
Contents: Settlements
The population development of the settlements in Cloppenburg.
| Name | Status | County | Population Census 2011-05-09 | Population Census 2022-05-15 | |
|---|---|---|---|---|---|
| Altenoythe | Settlement | Cloppenburg | 2,460 | 2,700 | → |
| Barßel | Settlement | Cloppenburg | 4,220 | 4,540 | → |
| Benstrup | Settlement | Cloppenburg | 365 | 400 | → |
| Bethen | Settlement | Cloppenburg | 455 | 590 | → |
| Beverbruch | Settlement | Cloppenburg | 710 | 690 | → |
| Bevern | Settlement | Cloppenburg | 600 | 690 | → |
| Böen | Settlement | Cloppenburg | 1,740 | 1,680 | → |
| Bollingen | Settlement | Cloppenburg | 560 | 590 | → |
| Borkhorn | Settlement | Cloppenburg | 390 | 355 | → |
| Bösel | Settlement | Cloppenburg | 4,830 | 5,800 | → |
| Bühren | Settlement | Cloppenburg | 800 | 900 | → |
| Cappeln (Oldenburg) | Settlement | Cloppenburg | 3,350 | 3,850 | → |
| Cloppenburg | Settlement | Cloppenburg | 30,080 | 33,270 | → |
| Dwergte | Settlement | Cloppenburg | 355 | 455 | → |
| Edewechterdamm | Settlement | Cloppenburg | 840 | 800 | → |
| Elisabethfehn | Settlement | Cloppenburg | 5,140 | 5,640 | → |
| Elsten | Settlement | Cloppenburg | 300 | 350 | → |
| Emstek | Settlement | Cloppenburg | 5,450 | 6,020 | → |
| Ermke | Settlement | Cloppenburg | 580 | 630 | → |
| Essen (Oldenburg) | Settlement | Cloppenburg | 3,750 | 4,730 | → |
| Falkenberg | Settlement | Cloppenburg | 400 | 385 | → |
| Friesoythe | Settlement | Cloppenburg | 7,630 | 8,660 | → |
| Garrel | Settlement | Cloppenburg | 9,040 | 9,730 | → |
| Gehlenberg | Settlement | Cloppenburg | 1,500 | 1,540 | → |
| Halen | Settlement | Cloppenburg | 1,870 | 1,950 | → |
| Harkebrügge | Settlement | Cloppenburg | 1,560 | 1,820 | → |
| Hemmelte-Bahnhof | Settlement | Cloppenburg | 540 | 670 | → |
| Höltinghausen | Settlement | Cloppenburg | 880 | 1,080 | → |
| Hülsenmoor | Settlement | Cloppenburg | 1,320 | 1,340 | → |
| Kampe | Settlement | Cloppenburg | 570 | 540 | → |
| Kamperfehn | Settlement | Cloppenburg | 550 | 580 | → |
| Kellerhöhe | Settlement | Cloppenburg | 325 | 300 | → |
| Kneheim | Settlement | Cloppenburg | 520 | 580 | → |
| Lastrup | Settlement | Cloppenburg | 3,400 | 4,140 | → |
| Liener | Settlement | Cloppenburg | 340 | 320 | → |
| Lindern (Oldenburg) | Settlement | Cloppenburg | 2,390 | 2,770 | → |
| Löningen | Settlement | Cloppenburg | 6,280 | 7,460 | → |
| Markhausen | Settlement | Cloppenburg | 1,300 | 1,300 | → |
| Mittelsten Thüle | Settlement | Cloppenburg | 560 | 660 | → |
| Molbergen | Settlement | Cloppenburg | 4,580 | 5,790 | → |
| Neuenbunnen | Settlement | Cloppenburg | 730 | 800 | → |
| Neuscharrel | Settlement | Cloppenburg | 700 | 730 | → |
| Neuvrees | Settlement | Cloppenburg | 790 | 800 | → |
| Nikolausdorf | Settlement | Cloppenburg | 495 | 580 | → |
| Peheim | Settlement | Cloppenburg | 770 | 930 | → |
| Petersdorf | Settlement | Cloppenburg | 1,020 | 1,230 | → |
| Ramsloh | Settlement | Cloppenburg | 3,840 | 4,540 | → |
| Reekenfeld | Settlement | Cloppenburg | 380 | 430 | → |
| Scharrel | Settlement | Cloppenburg | 2,100 | 2,220 | → |
| Sedelsberg | Settlement | Cloppenburg | 2,420 | 2,680 | → |
| Sevelten | Settlement | Cloppenburg | 1,330 | 1,590 | → |
| Siehenfelde | Settlement | Cloppenburg | 285 | 1,160 | → |
| Staatsforsten | Settlement | Cloppenburg | 425 | 410 | → |
| Strücklingen | Settlement | Cloppenburg | 1,690 | 1,940 | → |
| Varrelbusch | Settlement | Cloppenburg | 680 | 720 | → |
| Wachtum | Settlement | Cloppenburg | 690 | 750 | → |
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.