Saale-Holzland-Kreis
County in Thuringia
County
The population development of Saale-Holzland-Kreis.
| Name | Status | Population Census 2011-05-09 | Population Census 2022-05-15 | |
|---|---|---|---|---|
| Saale-Holzland-Kreis | County | 84,802 | 83,347 | → |
| Thüringen [Thuringia] | State | 2,188,589 | 2,110,396 |
Contents: Settlements
The population development of the settlements in Saale-Holzland-Kreis.
| Name | Status | County | Population Census 2011-05-09 | Population Census 2022-05-15 | |
|---|---|---|---|---|---|
| Bad Klosterlausnitz | Settlement | Saale-Holzland-Kreis | 2,800 | 2,760 | → |
| Birkenlinie | Settlement | Saale-Holzland-Kreis | 600 | 620 | → |
| Bucha | Settlement | Saale-Holzland-Kreis | 590 | 630 | → |
| Bürgel | Settlement | Saale-Holzland-Kreis | 1,580 | 1,540 | → |
| Camburg | Settlement | Saale-Holzland-Kreis | 2,290 | 2,200 | → |
| Crossen an der Elster | Settlement | Saale-Holzland-Kreis | 1,520 | 1,370 | → |
| Dornburg/Saale | Settlement | Saale-Holzland-Kreis | 680 | 690 | → |
| Dorndorf | Settlement | Saale-Holzland-Kreis | 1,130 | 1,150 | → |
| Eineborn | Settlement | Saale-Holzland-Kreis | 340 | 330 | → |
| Eisenberg | Settlement | Saale-Holzland-Kreis | 10,430 | 10,400 | → |
| Frauenprießnitz | Settlement | Saale-Holzland-Kreis | 690 | 610 | → |
| Freienorla | Settlement | Saale-Holzland-Kreis | 310 | 315 | → |
| Gernewitz | Settlement | Saale-Holzland-Kreis | 315 | 395 | → |
| Golmsdorf | Settlement | Saale-Holzland-Kreis | 650 | 700 | → |
| Graitschen b. Bürgel | Settlement | Saale-Holzland-Kreis | 410 | 390 | → |
| Großlöbichau | Settlement | Saale-Holzland-Kreis | 720 | 680 | → |
| Hainspitz | Settlement | Saale-Holzland-Kreis | 690 | 590 | → |
| Hartmannsdorf | Settlement | Saale-Holzland-Kreis | 610 | 620 | → |
| Hermsdorf | Settlement | Saale-Holzland-Kreis | 8,020 | 8,140 | → |
| Hummelshain | Settlement | Saale-Holzland-Kreis | 550 | 550 | → |
| Kahla | Settlement | Saale-Holzland-Kreis | 7,040 | 6,820 | → |
| Kleineutersdorf | Settlement | Saale-Holzland-Kreis | 365 | 340 | → |
| Klengel | Settlement | Saale-Holzland-Kreis | 350 | 340 | → |
| Königshofen | Settlement | Saale-Holzland-Kreis | 600 | 580 | → |
| Laasdorf | Settlement | Saale-Holzland-Kreis | 500 | 540 | → |
| Lippersdorf | Settlement | Saale-Holzland-Kreis | 315 | 315 | → |
| Milda | Settlement | Saale-Holzland-Kreis | 370 | 350 | → |
| Mörsdorf | Settlement | Saale-Holzland-Kreis | 430 | 560 | → |
| Orlamünde | Settlement | Saale-Holzland-Kreis | 1,170 | 1,050 | → |
| Ottendorf | Settlement | Saale-Holzland-Kreis | 405 | 400 | → |
| Porstendorf | Settlement | Saale-Holzland-Kreis | 330 | 385 | → |
| Quirla | Settlement | Saale-Holzland-Kreis | 440 | 450 | → |
| Reichenbach | Settlement | Saale-Holzland-Kreis | 930 | 870 | → |
| Rothenstein | Settlement | Saale-Holzland-Kreis | 1,210 | 1,160 | → |
| Schkölen | Settlement | Saale-Holzland-Kreis | 1,180 | 1,180 | → |
| Schleifreisen | Settlement | Saale-Holzland-Kreis | 425 | 415 | → |
| Schlöben | Settlement | Saale-Holzland-Kreis | 440 | 430 | → |
| Schöngleina | Settlement | Saale-Holzland-Kreis | 460 | 520 | → |
| Serba | Settlement | Saale-Holzland-Kreis | 305 | 325 | → |
| Silbitz | Settlement | Saale-Holzland-Kreis | 445 | 395 | → |
| Stadtroda | Settlement | Saale-Holzland-Kreis | 5,610 | 5,360 | → |
| Steudnitz | Settlement | Saale-Holzland-Kreis | 580 | 590 | → |
| St. Gangloff | Settlement | Saale-Holzland-Kreis | 1,240 | 1,180 | → |
| Tautenhain | Settlement | Saale-Holzland-Kreis | 940 | 880 | → |
| Thalbürgel | Settlement | Saale-Holzland-Kreis | 720 | 730 | → |
| Tröbnitz | Settlement | Saale-Holzland-Kreis | 490 | 470 | → |
| Trockenborn | Settlement | Saale-Holzland-Kreis | 435 | 435 | → |
| Weißenborn | Settlement | Saale-Holzland-Kreis | 1,200 | 1,130 | → |
| Zöllnitz | Settlement | Saale-Holzland-Kreis | 760 | 1,000 | → |
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.