Steinburg
County in Schleswig-Holstein
County
The population development of Steinburg.
| Name | Status | Population Census 2011-05-09 | Population Census 2022-05-15 | |
|---|---|---|---|---|
| Steinburg | County | 130,785 | 131,002 | → |
| Schleswig-Holstein | State | 2,800,119 | 2,927,542 |
Contents: Settlements
The population development of the settlements in Steinburg.
| Name | Status | County | Population Census 2011-05-09 | Population Census 2022-05-15 | |
|---|---|---|---|---|---|
| Beidenfleth | Settlement | Steinburg | 710 | 710 | → |
| Borsfleth | Settlement | Steinburg | 560 | 510 | → |
| Breitenberg | Settlement | Steinburg | 310 | 310 | → |
| Brokdorf | Settlement | Steinburg | 820 | 820 | → |
| Brokstedt | Settlement | Steinburg | 2,050 | 2,160 | → |
| Dägeling | Settlement | Steinburg | 990 | 960 | → |
| Engelbrechtsche Wildnis | Settlement | Steinburg | 900 | 760 | → |
| Fitzbek | Settlement | Steinburg | 355 | 355 | → |
| Glückstadt | Settlement | Steinburg | 11,100 | 11,190 | → |
| Gribbohm | Settlement | Steinburg | 400 | 320 | → |
| Hahnenkamp | Settlement | Steinburg | 600 | 660 | → |
| Heiligenstedten | Settlement | Steinburg | 710 | 710 | → |
| Heiligenstedtenerkamp | Settlement | Steinburg | 710 | 740 | → |
| Hennstedt | Settlement | Steinburg | 560 | 580 | → |
| Herzhorn | Settlement | Steinburg | 790 | 840 | → |
| Hohenaspe | Settlement | Steinburg | 1,950 | 1,790 | → |
| Hohenfelde | Settlement | Steinburg | 620 | 590 | → |
| Hohenlockstedt | Settlement | Steinburg | 5,510 | 5,330 | → |
| Horst (Holstein) | Settlement | Steinburg | 4,190 | 4,570 | → |
| Itzehoe | Settlement | Steinburg | 25,730 | 27,170 | → |
| Julianka | Settlement | Steinburg | 770 | 660 | → |
| Kellinghusen | Settlement | Steinburg | 7,700 | 7,960 | → |
| Kiebitzreihe | Settlement | Steinburg | 2,020 | 1,970 | → |
| Kleve | Settlement | Steinburg | 500 | 460 | → |
| Kollmar | Settlement | Steinburg | 970 | 840 | → |
| Krempe | Settlement | Steinburg | 2,310 | 2,390 | → |
| Kremperheide | Settlement | Steinburg | 2,440 | 2,300 | → |
| Krempermoor | Settlement | Steinburg | 530 | 510 | → |
| Lägerdorf | Settlement | Steinburg | 2,550 | 2,610 | → |
| Lohbarbek | Settlement | Steinburg | 305 | 300 | → |
| Looft | Settlement | Steinburg | 335 | 355 | → |
| Mehlbek | Settlement | Steinburg | 420 | 375 | → |
| Münsterdorf | Settlement | Steinburg | 1,910 | 1,810 | → |
| Neuenbrook | Settlement | Steinburg | 640 | 670 | → |
| Neuendorf b. Elmshorn | Settlement | Steinburg | 365 | 340 | → |
| Neuenkirchen | Settlement | Steinburg | 285 | 300 | → |
| Nordoe | Settlement | Steinburg | 890 | 1,160 | → |
| Oelixdorf | Settlement | Steinburg | 1,460 | 1,500 | → |
| Oldendorf | Settlement | Steinburg | 1,080 | 1,050 | → |
| Ottenbüttel | Settlement | Steinburg | 690 | 670 | → |
| Poyenberg | Settlement | Steinburg | 380 | 335 | → |
| Puls | Settlement | Steinburg | 560 | 500 | → |
| Quarnstedt | Settlement | Steinburg | 405 | 390 | → |
| Reher | Settlement | Steinburg | 760 | 710 | → |
| Rethwisch | Settlement | Steinburg | 600 | 570 | → |
| Rosdorf | Settlement | Steinburg | 365 | 370 | → |
| Rumfleth | Settlement | Steinburg | 600 | 550 | → |
| Sankt Margarethen | Settlement | Steinburg | 760 | 710 | → |
| Sarlhusen | Settlement | Steinburg | 335 | 325 | → |
| Schenefeld | Settlement | Steinburg | 2,420 | 2,650 | → |
| Siethwende | Settlement | Steinburg | 360 | 325 | → |
| Vaale | Settlement | Steinburg | 1,040 | 1,060 | → |
| Wacken | Settlement | Steinburg | 1,820 | 1,900 | → |
| Wellenkamp | Settlement | Steinburg | 5,090 | 5,070 | → |
| Westermoor | Settlement | Steinburg | 355 | 345 | → |
| Wewelsfleth | Settlement | Steinburg | 1,250 | 1,100 | → |
| Wilster | Settlement | Steinburg | 4,470 | 4,290 | → |
| Wrist | Settlement | Steinburg | 2,400 | 2,310 | → |
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.