Weimarer Land
County in Thuringia
County
The population development of Weimarer Land.
| Name | Status | Population Census 2011-05-09 | Population Census 2022-05-15 | |
|---|---|---|---|---|
| Weimarer Land | County | 82,643 | 82,691 | → |
| Thüringen [Thuringia] | State | 2,188,589 | 2,110,396 |
Contents: Settlements
The population development of the settlements in Weimarer Land.
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 | |
|---|---|---|---|---|---|
| Apolda | Settlement | Weimarer Land | 19,640 | 20,300 | → |
| Auerstedt | Settlement | Weimarer Land | 450 | 435 | → |
| Bad Berka | Settlement | Weimarer Land | 5,380 | 5,300 | → |
| Bad Sulza | Settlement | Weimarer Land | 2,810 | 2,650 | → |
| Bergern | Settlement | Weimarer Land | 355 | 345 | → |
| Berlstedt | Settlement | Weimarer Land | 1,150 | 1,110 | → |
| Blankenhain | Settlement | Weimarer Land | 3,530 | 3,730 | → |
| Buttelstedt | Settlement | Weimarer Land | 920 | 890 | → |
| Eckolstädt | Settlement | Weimarer Land | 620 | 630 | → |
| Ettersburg | Settlement | Weimarer Land | 580 | 730 | → |
| Göttern | Settlement | Weimarer Land | 370 | 315 | → |
| Großobringen | Settlement | Weimarer Land | 880 | 870 | → |
| Großschwabhausen | Settlement | Weimarer Land | 770 | 790 | → |
| Herressen-Sulzbach | Settlement | Weimarer Land | 600 | 560 | → |
| Hohenfelden | Settlement | Weimarer Land | 345 | 320 | → |
| Hopfgarten | Settlement | Weimarer Land | 680 | 630 | → |
| Isseroda | Settlement | Weimarer Land | 560 | 550 | → |
| Kapellendorf | Settlement | Weimarer Land | 435 | 400 | → |
| Kleinromstedt | Settlement | Weimarer Land | 430 | 415 | → |
| Klettbach | Settlement | Weimarer Land | 1,150 | 1,140 | → |
| Kranichfeld | Settlement | Weimarer Land | 2,920 | 2,820 | → |
| Krautheim | Settlement | Weimarer Land | 375 | 370 | → |
| Kromsdorf | Settlement | Weimarer Land | 1,280 | 1,150 | → |
| Lehnstedt | Settlement | Weimarer Land | 345 | 345 | → |
| Liebstedt | Settlement | Weimarer Land | 370 | 330 | → |
| Magdala | Settlement | Weimarer Land | 1,350 | 1,450 | → |
| Mattstedt | Settlement | Weimarer Land | 455 | 410 | → |
| Mellingen | Settlement | Weimarer Land | 1,170 | 1,410 | → |
| Mönchenholzhausen | Settlement | Weimarer Land | 750 | 750 | → |
| Neumark | Settlement | Weimarer Land | 480 | 455 | → |
| Niederroßla | Settlement | Weimarer Land | 1,110 | 1,080 | → |
| Niedertrebra | Settlement | Weimarer Land | 640 | 610 | → |
| Niederzimmern | Settlement | Weimarer Land | 1,010 | 1,020 | → |
| Nohra | Settlement | Weimarer Land | 380 | 370 | → |
| Obernissa | Settlement | Weimarer Land | 340 | 325 | → |
| Oßmannstedt | Settlement | Weimarer Land | 890 | 850 | → |
| Pfiffelbach | Settlement | Weimarer Land | 510 | 500 | → |
| Sachsenhausen | Settlement | Weimarer Land | 385 | 380 | → |
| Schwerstedt | Settlement | Weimarer Land | 335 | 310 | → |
| Stedten | Settlement | Weimarer Land | 460 | 410 | → |
| Tannroda | Settlement | Weimarer Land | 980 | 930 | → |
| Tonndorf | Settlement | Weimarer Land | 610 | 620 | → |
| Ulla | Settlement | Weimarer Land | 720 | 820 | → |
| Ulrichshalben | Settlement | Weimarer Land | 370 | 360 | → |
| Umpferstedt | Settlement | Weimarer Land | 610 | 630 | → |
| Unterneusulza | Settlement | Weimarer Land | 345 | 300 | → |
| Utenbach | Settlement | Weimarer Land | 590 | 540 | → |
| Vippachedelhausen | Settlement | Weimarer Land | 480 | 470 | → |
| Wickerstedt | Settlement | Weimarer Land | 740 | 700 | → |
| Wohlsborn | Settlement | Weimarer Land | 480 | 495 | → |
| Wormstedt | Settlement | Weimarer Land | 520 | 550 | → |
| Zottelstedt | Settlement | Weimarer Land | 370 | 365 | → |
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.