Lippe
County in North Rhine-Westphalia
County
The population development of Lippe.
| Name | Status | Population Census 2011-05-09 | Population Census 2022-05-15 | |
|---|---|---|---|---|
| Lippe | County | 348,681 | 348,030 | → |
| Nordrhein-Westfalen [North Rhine-Westphalia] | State | 17,538,251 | 17,890,489 |
Contents: Settlements
The population development of the settlements in Lippe.
| Name | Status | County | Population Census 2011-05-09 | Population Census 2022-05-15 | |
|---|---|---|---|---|---|
| Ahmsen | Settlement | Lippe | 950 | 1,060 | → |
| Almena | Settlement | Lippe | 1,270 | 1,170 | → |
| Alverdissen | Settlement | Lippe | 1,560 | 1,360 | → |
| Asemissen | Settlement | Lippe | 6,710 | 7,250 | → |
| Augustdorf | Settlement | Lippe | 9,590 | 9,910 | → |
| Bad Meinberg | Settlement | Lippe | 4,240 | 4,780 | → |
| Bad Salzuflen | Settlement | Lippe | 40,810 | 42,730 | → |
| Barntrup | Settlement | Lippe | 5,400 | 5,270 | → |
| Bavenhausen | Settlement | Lippe | 640 | 590 | → |
| Bega | Settlement | Lippe | 1,010 | 880 | → |
| Belle | Settlement | Lippe | 1,020 | 990 | → |
| Bentorf | Settlement | Lippe | 480 | 425 | → |
| Bexterhagen | Settlement | Lippe | 660 | 700 | → |
| Billerbeck | Settlement | Lippe | 385 | 385 | → |
| Blomberg | Settlement | Lippe | 7,800 | 7,910 | → |
| Bösingfeld | Settlement | Lippe | 5,150 | 4,990 | → |
| Brakelsiek | Settlement | Lippe | 960 | 840 | → |
| Breitenheide - Billinghausen | Settlement | Lippe | 3,960 | 3,800 | → |
| Brokhausen | Settlement | Lippe | 440 | 360 | → |
| Brüntorf | Settlement | Lippe | 385 | 305 | → |
| Brüntrup | Settlement | Lippe | 475 | 445 | → |
| Cappel | Settlement | Lippe | 550 | 520 | → |
| Detmold | Settlement | Lippe | 62,160 | 63,650 | → |
| Diestelbruch - Hülsen | Settlement | Lippe | 2,060 | 2,040 | → |
| Donop | Settlement | Lippe | 600 | 495 | → |
| Dörentrup | Settlement | Lippe | 2,980 | 2,750 | → |
| Ehlenbruch | Settlement | Lippe | 730 | 710 | → |
| Elbrinxen | Settlement | Lippe | 1,120 | 1,070 | → |
| Entrup | Settlement | Lippe | 1,000 | 950 | → |
| Erder | Settlement | Lippe | 650 | 600 | → |
| Eschenbruch | Settlement | Lippe | 365 | 335 | → |
| Feldrom - Veldrom | Settlement | Lippe | 550 | 490 | → |
| Fissenknick | Settlement | Lippe | 550 | 510 | → |
| Grester Feld | Settlement | Lippe | 475 | 465 | → |
| Großenmarpe | Settlement | Lippe | 1,060 | 1,130 | → |
| Harkemissen | Settlement | Lippe | 475 | 460 | → |
| Heiden | Settlement | Lippe | 1,850 | 1,710 | → |
| Heiligenkirchen - Berlebeck - Hahnberg | Settlement | Lippe | 4,820 | 4,390 | → |
| Helpup | Settlement | Lippe | 2,600 | 2,850 | → |
| Herrentrup - Reelkirchen | Settlement | Lippe | 1,150 | 1,130 | → |
| Hohenhausen | Settlement | Lippe | 3,500 | 3,380 | → |
| Holzhausen-Externsteine | Settlement | Lippe | 1,080 | 970 | → |
| Horn | Settlement | Lippe | 6,350 | 6,290 | → |
| Hörste | Settlement | Lippe | 2,380 | 2,370 | → |
| Hörstmar | Settlement | Lippe | 1,260 | 1,230 | → |
| Humfeld | Settlement | Lippe | 1,560 | 1,420 | → |
| Hummersen | Settlement | Lippe | 410 | 405 | → |
| Istrup | Settlement | Lippe | 1,500 | 1,400 | → |
| Kachtenhausen | Settlement | Lippe | 2,070 | 2,230 | → |
| Kalldorf | Settlement | Lippe | 1,080 | 930 | → |
| Kirchheide | Settlement | Lippe | 1,400 | 1,360 | → |
| Kohlstädt | Settlement | Lippe | 1,240 | 1,200 | → |
| Küsenbaum | Settlement | Lippe | 680 | 600 | → |
| Lage | Settlement | Lippe | 18,590 | 19,040 | → |
| Langenholzhausen | Settlement | Lippe | 1,260 | 1,190 | → |
| Laßbruch | Settlement | Lippe | 540 | 520 | → |
| Leese | Settlement | Lippe | 550 | 495 | → |
| Lemgo | Settlement | Lippe | 28,610 | 28,450 | → |
| Leopoldshöhe | Settlement | Lippe | 6,160 | 6,680 | → |
| Leopoldstal | Settlement | Lippe | 1,710 | 1,640 | → |
| Lieme | Settlement | Lippe | 2,320 | 2,120 | → |
| Lipperreihe | Settlement | Lippe | 2,640 | 2,660 | → |
| Lockhausen | Settlement | Lippe | 1,790 | 1,820 | → |
| Loßbruch - Bentrup | Settlement | Lippe | 1,180 | 1,050 | → |
| Lothe | Settlement | Lippe | 1,170 | 1,020 | → |
| Lüdenhausen | Settlement | Lippe | 960 | 950 | → |
| Lüerdissen | Settlement | Lippe | 320 | 310 | → |
| Lügde | Settlement | Lippe | 5,320 | 4,790 | → |
| Luherheide | Settlement | Lippe | 1,160 | 980 | → |
| Mackenbruch | Settlement | Lippe | 910 | 940 | → |
| Nienhagen | Settlement | Lippe | 445 | 490 | → |
| Niese | Settlement | Lippe | 415 | 345 | → |
| Oerlinghausen | Settlement | Lippe | 9,620 | 9,690 | → |
| Oesterholz | Settlement | Lippe | 1,760 | 1,940 | → |
| Pottenhausen | Settlement | Lippe | 860 | 840 | → |
| Retzen | Settlement | Lippe | 1,460 | 1,390 | → |
| Rischenau | Settlement | Lippe | 1,000 | 960 | → |
| Sabbenhausen | Settlement | Lippe | 700 | 660 | → |
| Schieder | Settlement | Lippe | 3,150 | 2,960 | → |
| Schlangen | Settlement | Lippe | 5,760 | 6,030 | → |
| Schling | Settlement | Lippe | 580 | 570 | → |
| Schwalenberg | Settlement | Lippe | 1,430 | 1,340 | → |
| Sepp | Settlement | Lippe | 480 | 475 | → |
| Silixen | Settlement | Lippe | 1,400 | 1,270 | → |
| Sonneborn | Settlement | Lippe | 910 | 810 | → |
| Sporkholz | Settlement | Lippe | 1,520 | 1,460 | → |
| Stemmen | Settlement | Lippe | 860 | 820 | → |
| Talle | Settlement | Lippe | 1,060 | 930 | → |
| Tevenhausen | Settlement | Lippe | 305 | 300 | → |
| Tintrup | Settlement | Lippe | 310 | 305 | → |
| Varenholz | Settlement | Lippe | 650 | 570 | → |
| Voßheide | Settlement | Lippe | 950 | 850 | → |
| Waddenhausen | Settlement | Lippe | 2,320 | 2,230 | → |
| Wahmbeckerheide | Settlement | Lippe | 740 | 680 | → |
| Währentrup | Settlement | Lippe | 540 | 520 | → |
| Westorf | Settlement | Lippe | 750 | 620 | → |
| Wissentrup | Settlement | Lippe | 560 | 560 | → |
| Wöbbel | Settlement | Lippe | 970 | 850 | → |
| Wülfer-Bexten | Settlement | Lippe | 960 | 940 | → |
| Wüsten | Settlement | Lippe | 2,960 | 2,960 | → |
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.