Deggendorf
County in Bavaria
County
The population development of Deggendorf.
| Name | Status | Population Census 2011-05-09 | Population Census 2022-05-15 | |
|---|---|---|---|---|
| Deggendorf | County | 114,454 | 119,231 | → |
| Bayern [Bavaria] | State | 12,397,614 | 13,038,724 |
Contents: Settlements
The population development of the settlements in Deggendorf.
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 | |
|---|---|---|---|---|---|
| Aholming | Settlement | Deggendorf | 910 | 1,000 | → |
| Auerbach | Settlement | Deggendorf | 355 | 385 | → |
| Außernzell | Settlement | Deggendorf | 465 | 475 | → |
| Berg | Settlement | Deggendorf | 540 | 550 | → |
| Bernried | Settlement | Deggendorf | 580 | 610 | → |
| Buchberg | Settlement | Deggendorf | 415 | 425 | → |
| Buchhofen | Settlement | Deggendorf | 530 | 530 | → |
| Deggenau | Settlement | Deggendorf | 1,350 | 1,340 | → |
| Deggendorf | Settlement | Deggendorf | 23,880 | 25,870 | → |
| Edenstetten | Settlement | Deggendorf | 1,310 | 1,300 | → |
| Egg | Settlement | Deggendorf | 1,330 | 1,390 | → |
| Engolling | Settlement | Deggendorf | 410 | 395 | → |
| Fischerdorf | Settlement | Deggendorf | 880 | 1,080 | → |
| Forsthart | Settlement | Deggendorf | 950 | 950 | → |
| Gergweis | Settlement | Deggendorf | 620 | 640 | → |
| Grafling | Settlement | Deggendorf | 1,000 | 980 | → |
| Grattersdorf | Settlement | Deggendorf | 360 | 405 | → |
| Haardorf | Settlement | Deggendorf | 385 | 405 | → |
| Hengersberg | Settlement | Deggendorf | 5,240 | 5,830 | → |
| Iggensbach | Settlement | Deggendorf | 900 | 1,020 | → |
| Künzing | Settlement | Deggendorf | 1,200 | 1,270 | → |
| Lalling | Settlement | Deggendorf | 455 | 475 | → |
| Langenisarhofen | Settlement | Deggendorf | 590 | 680 | → |
| Loh | Settlement | Deggendorf | 325 | 355 | → |
| Metten | Settlement | Deggendorf | 3,430 | 3,520 | → |
| Michaelsbuch | Settlement | Deggendorf | 650 | 720 | → |
| Moos | Settlement | Deggendorf | 1,230 | 1,360 | → |
| Natternberg | Settlement | Deggendorf | 960 | 990 | → |
| Neßlbach | Settlement | Deggendorf | 680 | 720 | → |
| Neuhausen | Settlement | Deggendorf | 1,800 | 1,920 | → |
| Niederalteich | Settlement | Deggendorf | 1,800 | 1,800 | → |
| Niederkandelbach | Settlement | Deggendorf | 435 | 510 | → |
| Niederpöring | Settlement | Deggendorf | 320 | 325 | → |
| Oberauerbach | Settlement | Deggendorf | 360 | 350 | → |
| Oberpöring | Settlement | Deggendorf | 550 | 580 | → |
| Offenberg | Settlement | Deggendorf | 340 | 325 | → |
| Osterhofen | Settlement | Deggendorf | 6,660 | 7,250 | → |
| Otzing | Settlement | Deggendorf | 1,470 | 1,560 | → |
| Pankofen | Settlement | Deggendorf | 410 | 510 | → |
| Plattling | Settlement | Deggendorf | 11,250 | 11,940 | → |
| Ranzing | Settlement | Deggendorf | 330 | 310 | → |
| Reichenbach | Settlement | Deggendorf | 285 | 305 | → |
| Rettenbach - Mainkofen | Settlement | Deggendorf | 1,300 | 1,130 | → |
| Rohrstetten | Settlement | Deggendorf | 355 | 315 | → |
| Schaufling | Settlement | Deggendorf | 460 | 550 | → |
| Schöllnach | Settlement | Deggendorf | 3,410 | 3,390 | → |
| Schwanenkirchen | Settlement | Deggendorf | 470 | 600 | → |
| Seebach | Settlement | Deggendorf | 620 | 620 | → |
| Steinkirchen | Settlement | Deggendorf | 345 | 330 | → |
| Stephansposching | Settlement | Deggendorf | 1,170 | 1,220 | → |
| Tabertshausen | Settlement | Deggendorf | 680 | 670 | → |
| Thundorf | Settlement | Deggendorf | 365 | 335 | → |
| Wallerfing | Settlement | Deggendorf | 520 | 485 | → |
| Winzer | Settlement | Deggendorf | 2,380 | 2,380 | → |
| Wisselsing | Settlement | Deggendorf | 380 | 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.