Jerichower Land
County in Saxony-Anhalt
County
The population development of Jerichower Land.
| Name | Status | Population Census 2011-05-09 | Population Census 2022-05-15 | |
|---|---|---|---|---|
| Jerichower Land | County | 93,849 | 88,710 | → |
| Sachsen-Anhalt [Saxony-Anhalt] | State | 2,287,040 | 2,146,443 |
Contents: Settlements
The population development of the settlements in Jerichower Land.
| Name | Status | County | Population Census 2011-05-09 | Population Census 2022-05-15 | |
|---|---|---|---|---|---|
| Bergzow | Settlement | Jerichower Land | 600 | 560 | → |
| Biederitz | Settlement | Jerichower Land | 3,670 | 3,870 | → |
| Brettin | Settlement | Jerichower Land | 730 | 640 | → |
| Burg | Settlement | Jerichower Land | 17,900 | 17,120 | → |
| Dannigkow | Settlement | Jerichower Land | 650 | 600 | → |
| Derben | Settlement | Jerichower Land | 690 | 620 | → |
| Detershagen | Settlement | Jerichower Land | 480 | 460 | → |
| Ferchland | Settlement | Jerichower Land | 600 | 590 | → |
| Friedensau | Settlement | Jerichower Land | 445 | 415 | → |
| Genthin | Settlement | Jerichower Land | 11,130 | 9,710 | → |
| Gerwisch | Settlement | Jerichower Land | 2,630 | 2,480 | → |
| Gommern | Settlement | Jerichower Land | 5,220 | 4,860 | → |
| Grabow | Settlement | Jerichower Land | 530 | 495 | → |
| Güsen | Settlement | Jerichower Land | 1,900 | 1,760 | → |
| Heyrothsberge | Settlement | Jerichower Land | 980 | 940 | → |
| Hohenseeden | Settlement | Jerichower Land | 380 | 385 | → |
| Hohenwarthe | Settlement | Jerichower Land | 1,290 | 1,320 | → |
| Hohenziatz | Settlement | Jerichower Land | 450 | 425 | → |
| Ihleburg | Settlement | Jerichower Land | 385 | 310 | → |
| Jerichow | Settlement | Jerichower Land | 1,620 | 1,580 | → |
| Justizvollzugsanstalt Burg | Prison | Jerichower Land | 470 | 520 | → |
| Kade | Settlement | Jerichower Land | 490 | 425 | → |
| Karow | Settlement | Jerichower Land | 420 | 385 | → |
| Königsborn | Settlement | Jerichower Land | 425 | 375 | → |
| Körbelitz | Settlement | Jerichower Land | 425 | 395 | → |
| Leitzkau | Settlement | Jerichower Land | 920 | 820 | → |
| Loburg | Settlement | Jerichower Land | 1,900 | 1,790 | → |
| Lostau | Settlement | Jerichower Land | 1,850 | 1,950 | → |
| Lübars | Settlement | Jerichower Land | 380 | 335 | → |
| Lübs | Settlement | Jerichower Land | 360 | 310 | → |
| Menz | Settlement | Jerichower Land | 590 | 510 | → |
| Möckern | Settlement | Jerichower Land | 2,960 | 2,960 | → |
| Möser | Settlement | Jerichower Land | 2,800 | 3,020 | → |
| Mützel | Settlement | Jerichower Land | 540 | 540 | → |
| Nedlitz | Settlement | Jerichower Land | 640 | 560 | → |
| Niegripp | Settlement | Jerichower Land | 970 | 970 | → |
| Parchau | Settlement | Jerichower Land | 890 | 820 | → |
| Parchen | Settlement | Jerichower Land | 770 | 750 | → |
| Parey | Settlement | Jerichower Land | 2,260 | 1,990 | → |
| Redekin | Settlement | Jerichower Land | 400 | 370 | → |
| Reesen | Settlement | Jerichower Land | 510 | 475 | → |
| Rosian | Settlement | Jerichower Land | 370 | 310 | → |
| Roßdorf | Settlement | Jerichower Land | 460 | 435 | → |
| Schartau | Settlement | Jerichower Land | 640 | 560 | → |
| Schermen | Settlement | Jerichower Land | 1,250 | 1,170 | → |
| Schlagenthin | Settlement | Jerichower Land | 710 | 660 | → |
| Stegelitz | Settlement | Jerichower Land | 410 | 360 | → |
| Theeßen | Settlement | Jerichower Land | 430 | 440 | → |
| Tucheim | Settlement | Jerichower Land | 1,190 | 1,080 | → |
| Vehlitz | Settlement | Jerichower Land | 310 | 335 | → |
| Wahlitz | Settlement | Jerichower Land | 960 | 950 | → |
| Woltersdorf | Settlement | Jerichower Land | 370 | 360 | → |
| Wörmlitz | Settlement | Jerichower Land | 425 | 415 | → |
| Ziepel | Settlement | Jerichower Land | 445 | 440 | → |
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.