Lüneburg
County in Lower Saxony
County
The population development of Lüneburg.
| Name | Status | Population Census 2011-05-09 | Population Census 2022-05-15 | |
|---|---|---|---|---|
| Lüneburg | County | 174,123 | 176,629 | → |
| Niedersachsen [Lower Saxony] | State | 7,777,992 | 7,943,265 |
Contents: Settlements
The population development of the settlements in Lüneburg.
| Name | Status | County | Population Census 2011-05-09 | Population Census 2022-05-15 | |
|---|---|---|---|---|---|
| Adendorf | Settlement | Lüneburg | 9,540 | 9,920 | → |
| Alt Garge | Settlement | Lüneburg | 960 | 930 | → |
| Amelinghausen | Settlement | Lüneburg | 3,670 | 3,430 | → |
| Artlenburg | Settlement | Lüneburg | 1,540 | 1,680 | → |
| Bardowick | Settlement | Lüneburg | 6,280 | 6,440 | → |
| Bardowick-Süd | Settlement | Lüneburg | 245 | 360 | → |
| Barendorf | Settlement | Lüneburg | 2,390 | 2,460 | → |
| Barskamp | Settlement | Lüneburg | 740 | 680 | → |
| Barum | Settlement | Lüneburg | 1,430 | 1,510 | → |
| Bavendorf | Settlement | Lüneburg | 395 | 415 | → |
| Betzendorf | Settlement | Lüneburg | 460 | 415 | → |
| Bleckede | Settlement | Lüneburg | 4,840 | 4,770 | → |
| Boltersen | Settlement | Lüneburg | 600 | 610 | → |
| Brackede | Settlement | Lüneburg | 330 | 310 | → |
| Brietlingen | Settlement | Lüneburg | 880 | 1,020 | → |
| Dahlenburg | Settlement | Lüneburg | 2,390 | 2,090 | → |
| Deutsch Evern | Settlement | Lüneburg | 3,740 | 3,610 | → |
| Drögennindorf | Settlement | Lüneburg | 345 | 340 | → |
| Echem | Settlement | Lüneburg | 960 | 970 | → |
| Embsen | Settlement | Lüneburg | 2,000 | 2,010 | → |
| Erbstorf | Settlement | Lüneburg | 520 | 520 | → |
| Handorf | Settlement | Lüneburg | 1,940 | 2,090 | → |
| Heiligenthal | Settlement | Lüneburg | 360 | 330 | → |
| Hittbergen | Settlement | Lüneburg | 740 | 790 | → |
| Hohnstorf (Elbe) | Settlement | Lüneburg | 2,240 | 1,980 | → |
| Kirchgellersen | Settlement | Lüneburg | 2,220 | 2,360 | → |
| Lüdershausen | Settlement | Lüneburg | 410 | 380 | → |
| Lüneburg | Settlement | Lüneburg | 66,680 | 69,890 | → |
| Mechtersen | Settlement | Lüneburg | 660 | 660 | → |
| Melbeck | Settlement | Lüneburg | 2,500 | 2,490 | → |
| Melbeck-Bahnhof | Settlement | Lüneburg | 610 | 530 | → |
| Moorburg | Settlement | Lüneburg | 2,000 | 1,910 | → |
| Nahrendorf | Settlement | Lüneburg | 375 | 335 | → |
| Neetze | Settlement | Lüneburg | 2,000 | 1,960 | → |
| Neuhaus | Settlement | Lüneburg | 1,420 | 1,390 | → |
| Neukolkhagen - Barnstedt | Settlement | Lüneburg | 510 | 490 | → |
| Ochtmissen | Settlement | Lüneburg | 2,700 | 2,420 | → |
| Oerzen | Settlement | Lüneburg | 570 | 640 | → |
| Oldendorf (Luhe) | Settlement | Lüneburg | 475 | 470 | → |
| Radbruch | Settlement | Lüneburg | 1,830 | 2,080 | → |
| Radenbeck | Settlement | Lüneburg | 375 | 380 | → |
| Rehlingen | Settlement | Lüneburg | 350 | 345 | → |
| Reinstorf | Settlement | Lüneburg | 440 | 460 | → |
| Reppenstedt | Settlement | Lüneburg | 7,010 | 6,700 | → |
| Rolfsen | Settlement | Lüneburg | 400 | 355 | → |
| Rullstorf | Settlement | Lüneburg | 1,040 | 1,020 | → |
| Sankt Dionys | Settlement | Lüneburg | 400 | 450 | → |
| Scharnebeck | Settlement | Lüneburg | 3,010 | 2,940 | → |
| Soderstorf | Settlement | Lüneburg | 690 | 720 | → |
| Stapel | Settlement | Lüneburg | 360 | 305 | → |
| Südergellersen | Settlement | Lüneburg | 1,210 | 1,260 | → |
| Vastorf | Settlement | Lüneburg | 390 | 415 | → |
| Ventschau | Settlement | Lüneburg | 265 | 320 | → |
| Vögelsen | Settlement | Lüneburg | 2,210 | 2,350 | → |
| Walmsburg | Settlement | Lüneburg | 435 | 375 | → |
| Wendisch Evern | Settlement | Lüneburg | 1,570 | 1,530 | → |
| Westergellersen | Settlement | Lüneburg | 1,740 | 1,980 | → |
| Wittorf | Settlement | Lüneburg | 1,310 | 1,250 | → |
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.