
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.