Heidekreis
County in Lower Saxony
County
The population development of Heidekreis.
| Name | Status | Population Census 2011-05-09 | Population Census 2022-05-15 | |
|---|---|---|---|---|
| Heidekreis (Soltau-Fallingbostel) | County | 136,693 | 142,771 | → |
| Niedersachsen [Lower Saxony] | State | 7,777,992 | 7,943,265 |
Contents: Settlements
The population development of the settlements in Heidekreis.
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 | |
|---|---|---|---|---|---|
| Ahlden (Aller) | Settlement | Heidekreis | 1,140 | 1,150 | → |
| Altenboitzen | Settlement | Heidekreis | 350 | 390 | → |
| Am Heidland | Settlement | Heidekreis | 1,630 | 1,690 | → |
| Bad Fallingbostel | Settlement | Heidekreis | 7,190 | 8,940 | → |
| Behringen | Settlement | Heidekreis | 800 | 840 | → |
| Benefeld | Settlement | Heidekreis | 2,580 | 2,570 | → |
| Bispingen | Settlement | Heidekreis | 2,730 | 2,800 | → |
| Bomlitz | Settlement | Heidekreis | 2,850 | 2,930 | → |
| Breloh | Settlement | Heidekreis | 2,740 | 2,910 | → |
| Buchholz (Aller) | Settlement | Heidekreis | 1,390 | 1,400 | → |
| Büchten | Settlement | Heidekreis | 305 | 330 | → |
| Camp Oerbke | Settlement | Heidekreis | 10 | 1,570 | → |
| Dorfmark | Settlement | Heidekreis | 2,900 | 3,130 | → |
| Drögenheide | Settlement | Heidekreis | 385 | 370 | → |
| Düshorn | Settlement | Heidekreis | 1,690 | 1,660 | → |
| Eickeloh | Settlement | Heidekreis | 770 | 830 | → |
| Eilte | Settlement | Heidekreis | 300 | 305 | → |
| Essel | Settlement | Heidekreis | 710 | 860 | → |
| Gilten | Settlement | Heidekreis | 350 | 345 | → |
| Groß Eilstorf | Settlement | Heidekreis | 310 | 315 | → |
| Hademstorf | Settlement | Heidekreis | 810 | 800 | → |
| Harber | Settlement | Heidekreis | 1,030 | 920 | → |
| Häuslingen | Settlement | Heidekreis | 660 | 620 | → |
| Heber | Settlement | Heidekreis | 520 | 480 | → |
| Hodenhagen | Settlement | Heidekreis | 3,120 | 3,040 | → |
| Honerdingen | Settlement | Heidekreis | 580 | 550 | → |
| Hope | Settlement | Heidekreis | 400 | 380 | → |
| Hörpel | Settlement | Heidekreis | 330 | 410 | → |
| Hützel | Settlement | Heidekreis | 800 | 800 | → |
| Insel | Settlement | Heidekreis | 530 | 540 | → |
| Kirchboitzen | Settlement | Heidekreis | 590 | 560 | → |
| Krelingen | Settlement | Heidekreis | 680 | 740 | → |
| Lünzen | Settlement | Heidekreis | 330 | 385 | → |
| Marklendorf | Settlement | Heidekreis | 450 | 455 | → |
| Munster | Settlement | Heidekreis | 10,680 | 10,670 | → |
| Neuenkirchen | Settlement | Heidekreis | 3,260 | 3,290 | → |
| Nordkampen | Settlement | Heidekreis | 435 | 415 | → |
| Oerrel | Settlement | Heidekreis | 430 | 455 | → |
| Rethem (Aller) | Settlement | Heidekreis | 1,690 | 1,700 | → |
| Schneverdingen | Settlement | Heidekreis | 13,530 | 13,640 | → |
| Schülern | Settlement | Heidekreis | 345 | 340 | → |
| Schwarmstedt | Settlement | Heidekreis | 5,000 | 5,400 | → |
| Soltau | Settlement | Heidekreis | 16,320 | 17,130 | → |
| Steinbeck (Luhe) | Settlement | Heidekreis | 750 | 720 | → |
| Stellichte | Settlement | Heidekreis | 590 | 520 | → |
| Südkampen | Settlement | Heidekreis | 395 | 375 | → |
| Tewel | Settlement | Heidekreis | 530 | 425 | → |
| Trauen | Settlement | Heidekreis | 365 | 385 | → |
| Walsrode | Settlement | Heidekreis | 13,950 | 14,450 | → |
| Wesseloh | Settlement | Heidekreis | 355 | 375 | → |
| Wietzendorf | Settlement | Heidekreis | 3,360 | 3,500 | → |
| Wintermoor | Settlement | Heidekreis | 360 | 395 | → |
| Wolterdingen-Dorf | Settlement | Heidekreis | 345 | 320 | → |
| Wolterdingen-Siedlung | Settlement | Heidekreis | 490 | 495 | → |
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.