Hildburghausen
County in Thuringia
County
The population development of Hildburghausen.
| Name | Status | Population Census 2011-05-09 | Population Census 2022-05-15 | |
|---|---|---|---|---|
| Hildburghausen | County | 66,369 | 61,411 | → |
| Thüringen [Thuringia] | State | 2,188,589 | 2,110,396 |
Contents: Settlements
The population development of the settlements in Hildburghausen.
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 | |
|---|---|---|---|---|---|
| Bedheim | Settlement | Hildburghausen | 550 | 500 | → |
| Beinerstadt | Settlement | Hildburghausen | 350 | 300 | → |
| Brattendorf | Settlement | Hildburghausen | 810 | 750 | → |
| Breitenbach bei Schleusingen | Settlement | Hildburghausen | 830 | 780 | → |
| Brünn/Thür. | Settlement | Hildburghausen | 445 | 395 | → |
| Crock | Settlement | Hildburghausen | 950 | 880 | → |
| Eisfeld | Settlement | Hildburghausen | 4,120 | 3,980 | → |
| Eishausen | Settlement | Hildburghausen | 440 | 395 | → |
| Erlau | Settlement | Hildburghausen | 1,090 | 1,060 | → |
| Fehrenbach | Settlement | Hildburghausen | 630 | 495 | → |
| Gellershausen | Settlement | Hildburghausen | 345 | 305 | → |
| Gethles | Settlement | Hildburghausen | 370 | 360 | → |
| Gießübel | Settlement | Hildburghausen | 550 | 445 | → |
| Gleichamberg | Settlement | Hildburghausen | 910 | 830 | → |
| Gompertshausen | Settlement | Hildburghausen | 450 | 435 | → |
| Goßmannsrod | Settlement | Hildburghausen | 385 | 335 | → |
| Haina | Settlement | Hildburghausen | 870 | 790 | → |
| Harras | Settlement | Hildburghausen | 620 | 550 | → |
| Heldburg | Settlement | Hildburghausen | 1,010 | 930 | → |
| Hellingen | Settlement | Hildburghausen | 425 | 370 | → |
| Henfstädt | Settlement | Hildburghausen | 390 | 320 | → |
| Heßberg | Settlement | Hildburghausen | 570 | 550 | → |
| Heubach | Settlement | Hildburghausen | 560 | 425 | → |
| Hildburghausen | Settlement | Hildburghausen | 10,130 | 10,120 | → |
| Hinternah | Settlement | Hildburghausen | 1,470 | 1,340 | → |
| Hirschbach | Settlement | Hildburghausen | 435 | 370 | → |
| Kloster Veilsdorf | Settlement | Hildburghausen | 650 | 600 | → |
| Lengfeld | Settlement | Hildburghausen | 455 | 385 | → |
| Marisfeld | Settlement | Hildburghausen | 455 | 405 | → |
| Masserberg | Settlement | Hildburghausen | 620 | 560 | → |
| Milz | Settlement | Hildburghausen | 790 | 720 | → |
| Oberstadt | Settlement | Hildburghausen | 370 | 325 | → |
| Pfersdorf | Settlement | Hildburghausen | 330 | 345 | → |
| Reurieth | Settlement | Hildburghausen | 660 | 590 | → |
| Römhild | Settlement | Hildburghausen | 1,780 | 1,710 | → |
| Sachsenbrunn | Settlement | Hildburghausen | 1,660 | 1,420 | → |
| Schleusegrund | Settlement | Hildburghausen | 1,410 | 1,170 | → |
| Schleusingen | Settlement | Hildburghausen | 4,180 | 3,910 | → |
| Schleusingerneundorf | Settlement | Hildburghausen | 620 | 510 | → |
| Schnett | Settlement | Hildburghausen | 570 | 490 | → |
| Schwarzbach | Settlement | Hildburghausen | 350 | 320 | → |
| Stressenhausen | Settlement | Hildburghausen | 415 | 385 | → |
| Streufdorf | Settlement | Hildburghausen | 950 | 990 | → |
| Themar | Settlement | Hildburghausen | 2,660 | 2,510 | → |
| Ummerstadt | Settlement | Hildburghausen | 495 | 445 | → |
| Veilsdorf | Settlement | Hildburghausen | 1,230 | 1,120 | → |
| Waldau | Settlement | Hildburghausen | 870 | 850 | → |
| Westenfeld | Settlement | Hildburghausen | 390 | 325 | → |
| Westhausen | Settlement | Hildburghausen | 520 | 475 | → |
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.