Kyffhäuserkreis
County in Thuringia
County
The population development of Kyffhäuserkreis.
| Name | Status | Population Census 2011-05-09 | Population Census 2022-05-15 | |
|---|---|---|---|---|
| Kyffhäuserkreis | County | 80,053 | 72,556 | → |
| Thüringen [Thuringia] | State | 2,188,589 | 2,110,396 |
Contents: Settlements
The population development of the settlements in Kyffhäuserkreis.
| Name | Status | County | Population Census 2011-05-09 | Population Census 2022-05-15 | |
|---|---|---|---|---|---|
| Abtsbessingen | Settlement | Kyffhäuserkreis | 420 | 400 | → |
| Allmenhausen | Settlement | Kyffhäuserkreis | 465 | 385 | → |
| Artern | Settlement | Kyffhäuserkreis | 5,530 | 4,880 | → |
| Bad Frankenhausen/Kyffhäuser | Settlement | Kyffhäuserkreis | 7,020 | 6,870 | → |
| Badra | Settlement | Kyffhäuserkreis | 560 | 500 | → |
| Bendeleben | Settlement | Kyffhäuserkreis | 700 | 590 | → |
| Berka | Settlement | Kyffhäuserkreis | 690 | 620 | → |
| Bottendorf | Settlement | Kyffhäuserkreis | 1,010 | 880 | → |
| Bretleben | Settlement | Kyffhäuserkreis | 570 | 520 | → |
| Clingen | Settlement | Kyffhäuserkreis | 1,060 | 1,020 | → |
| Donndorf | Settlement | Kyffhäuserkreis | 590 | 495 | → |
| Ebeleben | Settlement | Kyffhäuserkreis | 1,750 | 1,630 | → |
| Esperstedt | Settlement | Kyffhäuserkreis | 520 | 530 | → |
| Gehofen | Settlement | Kyffhäuserkreis | 700 | 590 | → |
| Göllingen | Settlement | Kyffhäuserkreis | 540 | 530 | → |
| Gorsleben | Settlement | Kyffhäuserkreis | 550 | 500 | → |
| Greußen | Settlement | Kyffhäuserkreis | 3,220 | 2,890 | → |
| Großbrüchter | Settlement | Kyffhäuserkreis | 390 | 330 | → |
| Großenehrich | Settlement | Kyffhäuserkreis | 670 | 580 | → |
| Großfurra | Settlement | Kyffhäuserkreis | 1,110 | 1,060 | → |
| Grüningen | Settlement | Kyffhäuserkreis | 500 | 440 | → |
| Hachelbich | Settlement | Kyffhäuserkreis | 590 | 520 | → |
| Hauteroda | Settlement | Kyffhäuserkreis | 500 | 425 | → |
| Heldrungen | Settlement | Kyffhäuserkreis | 2,150 | 2,020 | → |
| Heygendorf | Settlement | Kyffhäuserkreis | 560 | 465 | → |
| Hohenebra | Settlement | Kyffhäuserkreis | 475 | 420 | → |
| Holzthaleben | Settlement | Kyffhäuserkreis | 960 | 830 | → |
| Ichstedt | Settlement | Kyffhäuserkreis | 620 | 520 | → |
| Immenrode | Settlement | Kyffhäuserkreis | 420 | 335 | → |
| Jechaburg | Settlement | Kyffhäuserkreis | 340 | 310 | → |
| Kalbsrieth | Settlement | Kyffhäuserkreis | 455 | 415 | → |
| Keula | Settlement | Kyffhäuserkreis | 600 | 510 | → |
| Niedertopfstedt | Settlement | Kyffhäuserkreis | 295 | 300 | → |
| Oberbösa | Settlement | Kyffhäuserkreis | 405 | 315 | → |
| Oberheldrungen | Settlement | Kyffhäuserkreis | 760 | 640 | → |
| Oberspier | Settlement | Kyffhäuserkreis | 485 | 455 | → |
| Oldisleben | Settlement | Kyffhäuserkreis | 1,840 | 1,790 | → |
| Reinsdorf | Settlement | Kyffhäuserkreis | 800 | 670 | → |
| Ringleben | Settlement | Kyffhäuserkreis | 900 | 780 | → |
| Roßleben | Settlement | Kyffhäuserkreis | 3,630 | 2,860 | → |
| Rottleben | Settlement | Kyffhäuserkreis | 620 | 580 | → |
| Schernberg | Settlement | Kyffhäuserkreis | 870 | 770 | → |
| Schönewerda | Settlement | Kyffhäuserkreis | 710 | 610 | → |
| Seega | Settlement | Kyffhäuserkreis | 420 | 400 | → |
| Seehausen | Settlement | Kyffhäuserkreis | 420 | 375 | → |
| Sondershausen | Settlement | Kyffhäuserkreis | 16,600 | 15,630 | → |
| Steinthaleben | Settlement | Kyffhäuserkreis | 445 | 395 | → |
| Udersleben | Settlement | Kyffhäuserkreis | 630 | 550 | → |
| Voigtstedt | Settlement | Kyffhäuserkreis | 940 | 840 | → |
| Wasserthaleben | Settlement | Kyffhäuserkreis | 430 | 370 | → |
| Westgreußen | Settlement | Kyffhäuserkreis | 385 | 360 | → |
| Wiehe | Settlement | Kyffhäuserkreis | 1,610 | 1,470 | → |
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.