Helmstedt
County in Lower Saxony
County
The population development of Helmstedt.
| Name | Status | Population Census 2011-05-09 | Population Census 2022-05-15 | |
|---|---|---|---|---|
| Helmstedt | County | 91,410 | 90,546 | → |
| Niedersachsen [Lower Saxony] | State | 7,777,992 | 7,943,265 |
Contents: Settlements
The population development of the settlements in Helmstedt.
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 | |
|---|---|---|---|---|---|
| Bahrdorf | Settlement | Helmstedt | 990 | 910 | → |
| Barmke | Settlement | Helmstedt | 760 | 750 | → |
| Beienrode | Settlement | Helmstedt | 510 | 495 | → |
| Beienrode | Settlement | Helmstedt | 500 | 570 | → |
| Beierstedt | Settlement | Helmstedt | 410 | 335 | → |
| Boimstorf | Settlement | Helmstedt | 345 | 380 | → |
| Bornum am Elm | Settlement | Helmstedt | 820 | 890 | → |
| Büddenstedt | Settlement | Helmstedt | 1,420 | 1,250 | → |
| Danndorf | Settlement | Helmstedt | 2,100 | 2,490 | → |
| Esbeck | Settlement | Helmstedt | 1,470 | 1,270 | → |
| Essehof | Settlement | Helmstedt | 390 | 395 | → |
| Essenrode | Settlement | Helmstedt | 1,170 | 1,160 | → |
| Flechtorf | Settlement | Helmstedt | 2,860 | 3,090 | → |
| Frellstedt | Settlement | Helmstedt | 790 | 760 | → |
| Gevensleben | Settlement | Helmstedt | 420 | 375 | → |
| Glentorf | Settlement | Helmstedt | 355 | 335 | → |
| Grafhorst | Settlement | Helmstedt | 1,010 | 1,140 | → |
| Grasleben | Settlement | Helmstedt | 2,400 | 2,230 | → |
| Groß Brunsrode | Settlement | Helmstedt | 760 | 790 | → |
| Groß Sisbeck | Settlement | Helmstedt | 300 | 310 | → |
| Groß Steinum | Settlement | Helmstedt | 430 | 370 | → |
| Groß Twülpstedt | Settlement | Helmstedt | 460 | 540 | → |
| Helmstedt | Settlement | Helmstedt | 22,310 | 21,700 | → |
| Hoiersdorf | Settlement | Helmstedt | 730 | 700 | → |
| Ingeleben | Settlement | Helmstedt | 385 | 345 | → |
| Jerxheim | Settlement | Helmstedt | 860 | 810 | → |
| Klein Brunsrode | Settlement | Helmstedt | 315 | 355 | → |
| Klein Sisbeck | Settlement | Helmstedt | 290 | 320 | → |
| Klein Twülpstedt | Settlement | Helmstedt | 320 | 360 | → |
| Königslutter am Elm | Settlement | Helmstedt | 8,420 | 8,580 | → |
| Lauingen | Settlement | Helmstedt | 810 | 790 | → |
| Lehre | Settlement | Helmstedt | 3,980 | 4,070 | → |
| Lelm | Settlement | Helmstedt | 680 | 640 | → |
| Mariental-Horst | Settlement | Helmstedt | 780 | 830 | → |
| Meinkot | Settlement | Helmstedt | 520 | 480 | → |
| Ochsendorf | Settlement | Helmstedt | 490 | 480 | → |
| Offleben | Settlement | Helmstedt | 940 | 840 | → |
| Papenrode | Settlement | Helmstedt | 310 | 335 | → |
| Querenhorst | Settlement | Helmstedt | 530 | 470 | → |
| Räbke | Settlement | Helmstedt | 560 | 620 | → |
| Rhode | Settlement | Helmstedt | 410 | 355 | → |
| Rieseberg | Settlement | Helmstedt | 365 | 345 | → |
| Rottorf | Settlement | Helmstedt | 560 | 495 | → |
| Rümmer | Settlement | Helmstedt | 455 | 510 | → |
| Schöningen | Settlement | Helmstedt | 9,430 | 9,150 | → |
| Söllingen | Settlement | Helmstedt | 670 | 580 | → |
| Sunstedt | Settlement | Helmstedt | 360 | 325 | → |
| Süpplingen | Settlement | Helmstedt | 1,680 | 1,710 | → |
| Süpplingenburg | Settlement | Helmstedt | 650 | 660 | → |
| Velpke | Settlement | Helmstedt | 3,540 | 3,630 | → |
| Volkmarsdorf | Settlement | Helmstedt | 395 | 410 | → |
| Wahrstedt | Settlement | Helmstedt | 435 | 570 | → |
| Warberg | Settlement | Helmstedt | 860 | 760 | → |
| Wendhausen | Settlement | Helmstedt | 1,480 | 1,550 | → |
| Wolsdorf | Settlement | Helmstedt | 950 | 820 | → |
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.