Kelheim
County in Bavaria
County
The population development of Kelheim.
| Name | Status | Population Census 2011-05-09 | Population Census 2022-05-15 | |
|---|---|---|---|---|
| Kelheim | County | 112,752 | 123,830 | → |
| Bayern [Bavaria] | State | 12,397,614 | 13,038,724 |
Contents: Settlements
The population development of the settlements in Kelheim.
| Name | Status | County | Population Census 2011-05-09 | Population Census 2022-05-15 | |
|---|---|---|---|---|---|
| Abensberg | Settlement | Kelheim | 8,190 | 9,880 | → |
| Affecking - Hohenpfahl | Settlement | Kelheim | 5,120 | 5,830 | → |
| Aiglsbach | Settlement | Kelheim | 1,110 | 1,260 | → |
| Appersdorf | Settlement | Kelheim | 540 | 560 | → |
| Arnhofen | Settlement | Kelheim | 465 | 455 | → |
| Bad Abbach | Settlement | Kelheim | 7,070 | 8,020 | → |
| Bad Gögging | Settlement | Kelheim | 1,700 | 2,280 | → |
| Biburg | Settlement | Kelheim | 590 | 780 | → |
| Dünzling | Settlement | Kelheim | 350 | 335 | → |
| Elsendorf | Settlement | Kelheim | 640 | 700 | → |
| Essing | Settlement | Kelheim | 920 | 1,060 | → |
| Großmuß | Settlement | Kelheim | 520 | 540 | → |
| Haidhof | Settlement | Kelheim | 350 | 590 | → |
| Hausen | Settlement | Kelheim | 940 | 1,030 | → |
| Herrngiersdorf | Settlement | Kelheim | 465 | 580 | → |
| Herrnwahlthann | Settlement | Kelheim | 430 | 490 | → |
| Hienheim | Settlement | Kelheim | 610 | 620 | → |
| Ihrlerstein | Settlement | Kelheim | 3,810 | 3,820 | → |
| Irnsing | Settlement | Kelheim | 590 | 590 | → |
| Kapfelberg | Settlement | Kelheim | 330 | 310 | → |
| Kelheim | Settlement | Kelheim | 6,660 | 7,100 | → |
| Kelheimwinzer | Settlement | Kelheim | 790 | 880 | → |
| Kirchdorf | Settlement | Kelheim | 560 | 600 | → |
| Langquaid | Settlement | Kelheim | 3,520 | 4,150 | → |
| Leibersdorf | Settlement | Kelheim | 290 | 325 | → |
| Lengfeld | Settlement | Kelheim | 1,480 | 1,360 | → |
| Lohstadt | Settlement | Kelheim | 400 | 440 | → |
| Mainburg | Settlement | Kelheim | 9,320 | 10,040 | → |
| Mauern | Settlement | Kelheim | 630 | 820 | → |
| Meilenhofen | Settlement | Kelheim | 415 | 375 | → |
| Mitterfecking | Settlement | Kelheim | 860 | 820 | → |
| Mühlhausen | Settlement | Kelheim | 1,160 | 1,310 | → |
| Neuhausen | Settlement | Kelheim | 350 | 370 | → |
| Neustadt a.d. Donau | Settlement | Kelheim | 5,710 | 6,360 | → |
| Niederleierndorf | Settlement | Kelheim | 360 | 325 | → |
| Niederumelsdorf | Settlement | Kelheim | 390 | 350 | → |
| Oberndorf | Settlement | Kelheim | 660 | 630 | → |
| Offenstetten | Settlement | Kelheim | 2,100 | 2,450 | → |
| Painten | Settlement | Kelheim | 1,640 | 1,700 | → |
| Peising | Settlement | Kelheim | 840 | 920 | → |
| Poikam | Settlement | Kelheim | 430 | 445 | → |
| Puttenhausen | Settlement | Kelheim | 315 | 325 | → |
| Ratzenhofen | Settlement | Kelheim | 230 | 305 | → |
| Riedenburg | Settlement | Kelheim | 2,590 | 2,980 | → |
| Rohr i. NB | Settlement | Kelheim | 2,010 | 2,100 | → |
| Saal a.d. Donau | Settlement | Kelheim | 3,410 | 3,640 | → |
| Sandelzhausen | Settlement | Kelheim | 1,990 | 2,280 | → |
| Sandharlanden | Settlement | Kelheim | 980 | 980 | → |
| Sandsbach | Settlement | Kelheim | 425 | 465 | → |
| Sankt Johann | Settlement | Kelheim | 730 | 790 | → |
| Schwaig | Settlement | Kelheim | 1,040 | 1,060 | → |
| Siegenburg | Settlement | Kelheim | 2,650 | 3,260 | → |
| Staubing | Settlement | Kelheim | 340 | 305 | → |
| Teugn | Settlement | Kelheim | 1,580 | 1,700 | → |
| Thaldorf | Settlement | Kelheim | 345 | 390 | → |
| Train | Settlement | Kelheim | 870 | 1,040 | → |
| Volkenschwand | Settlement | Kelheim | 275 | 315 | → |
| Walkertshofen | Settlement | Kelheim | 520 | 570 | → |
| Weltenburg | Settlement | Kelheim | 465 | 470 | → |
| Wildenberg | Settlement | Kelheim | 1,050 | 1,120 | → |
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.