Elbe-Elster
County in Brandenburg
County
The population development of Elbe-Elster.
| Name | Status | Population Census 2011-05-09 | Population Census 2022-05-15 | |
|---|---|---|---|---|
| Elbe-Elster | County | 110,189 | 98,980 | → |
| Brandenburg | State | 2,455,780 | 2,534,075 |
Contents: Settlements
The population development of the settlements in Elbe-Elster.
| Name | Status | County | Population Census 2011-05-09 | Population Census 2022-05-15 | |
|---|---|---|---|---|---|
| Bad Liebenwerda | Settlement | Elbe-Elster | 4,820 | 4,600 | → |
| Berga | Settlement | Elbe-Elster | 460 | 405 | → |
| Crinitz | Settlement | Elbe-Elster | 1,100 | 980 | → |
| Doberlug | Settlement | Elbe-Elster | 1,410 | 1,290 | → |
| Dobra | Settlement | Elbe-Elster | 380 | 325 | → |
| Döllingen | Settlement | Elbe-Elster | 375 | 335 | → |
| Elsterwerda | Settlement | Elbe-Elster | 7,630 | 6,850 | → |
| Falkenberg/Elster | Settlement | Elbe-Elster | 5,350 | 4,750 | → |
| Fichtenberg | Settlement | Elbe-Elster | 395 | 330 | → |
| Finsterwalde | Settlement | Elbe-Elster | 16,270 | 14,930 | → |
| Gorden | Settlement | Elbe-Elster | 540 | 510 | → |
| Gröden | Settlement | Elbe-Elster | 1,490 | 1,320 | → |
| Großrössen | Settlement | Elbe-Elster | 320 | 305 | → |
| Großthiemig | Settlement | Elbe-Elster | 1,140 | 1,010 | → |
| Haida | Settlement | Elbe-Elster | 560 | 485 | → |
| Herzberg (Elster) | Settlement | Elbe-Elster | 6,880 | 6,310 | → |
| Hirschfeld | Settlement | Elbe-Elster | 1,340 | 1,170 | → |
| Hohenbucko | Settlement | Elbe-Elster | 400 | 380 | → |
| Hohenleipisch | Settlement | Elbe-Elster | 1,720 | 1,470 | → |
| Kirchhain | Settlement | Elbe-Elster | 4,800 | 4,070 | → |
| Kolochau | Settlement | Elbe-Elster | 365 | 320 | → |
| Kölsa | Settlement | Elbe-Elster | 385 | 345 | → |
| Koßdorf | Settlement | Elbe-Elster | 660 | 495 | → |
| Kraupa | Settlement | Elbe-Elster | 620 | 560 | → |
| Kröbeln | Settlement | Elbe-Elster | 465 | 390 | → |
| Lichterfeld | Settlement | Elbe-Elster | 385 | 365 | → |
| Lindena | Settlement | Elbe-Elster | 335 | 320 | → |
| Lugau | Settlement | Elbe-Elster | 430 | 405 | → |
| Maasdorf | Settlement | Elbe-Elster | 440 | 320 | → |
| Massen | Settlement | Elbe-Elster | 1,050 | 950 | → |
| Merzdorf | Settlement | Elbe-Elster | 890 | 800 | → |
| Mühlberg/Elbe | Settlement | Elbe-Elster | 2,050 | 1,690 | → |
| Plessa | Settlement | Elbe-Elster | 2,040 | 1,760 | → |
| Prestewitz | Settlement | Elbe-Elster | 365 | 340 | → |
| Prösen | Settlement | Elbe-Elster | 1,930 | 1,660 | → |
| Rückersdorf | Settlement | Elbe-Elster | 840 | 690 | → |
| Saathain | Settlement | Elbe-Elster | 520 | 450 | → |
| Sallgast | Settlement | Elbe-Elster | 480 | 455 | → |
| Schilda | Settlement | Elbe-Elster | 470 | 380 | → |
| Schlieben | Settlement | Elbe-Elster | 1,260 | 1,140 | → |
| Schönborn | Settlement | Elbe-Elster | 1,020 | 960 | → |
| Schönewalde | Settlement | Elbe-Elster | 760 | 720 | → |
| Schraden | Settlement | Elbe-Elster | 400 | 355 | → |
| Sonnewalde | Settlement | Elbe-Elster | 900 | 840 | → |
| Sorno | Settlement | Elbe-Elster | 400 | 370 | → |
| Staupitz | Settlement | Elbe-Elster | 465 | 400 | → |
| Stolzenhain a.d. Röder | Settlement | Elbe-Elster | 415 | 375 | → |
| Thalberg | Settlement | Elbe-Elster | 550 | 490 | → |
| Theisa | Settlement | Elbe-Elster | 395 | 320 | → |
| Tröbitz | Settlement | Elbe-Elster | 690 | 610 | → |
| Uebigau | Settlement | Elbe-Elster | 1,620 | 1,450 | → |
| Wahrenbrück | Settlement | Elbe-Elster | 510 | 420 | → |
| Wainsdorf | Settlement | Elbe-Elster | 400 | 340 | → |
| Werenzhain | Settlement | Elbe-Elster | 335 | 320 | → |
| Wohnheim Lausitzkaserne | Institution | Elbe-Elster | 0 | 310 | → |
| Zeischa | Settlement | Elbe-Elster | 460 | 430 | → |
| Züllsdorf | Settlement | Elbe-Elster | 470 | 360 | → |
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.