Plön
County in Schleswig-Holstein
County
The population development of Plön.
| Name | Status | Population Census 2011-05-09 | Population Census 2022-05-15 | |
|---|---|---|---|---|
| Plön | County | 127,676 | 129,634 | → |
| Schleswig-Holstein | State | 2,800,119 | 2,927,542 |
Contents: Settlements
The population development of the settlements in Plön.
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 | |
|---|---|---|---|---|---|
| Ascheberg (Holstein) | Settlement | Plön | 2,720 | 2,700 | → |
| Barsbek | Settlement | Plön | 540 | 550 | → |
| Behrensdorf (Ostsee) | Settlement | Plön | 385 | 360 | → |
| Bokhorst | Settlement | Plön | 415 | 410 | → |
| Bönebüttel | Settlement | Plön | 290 | 300 | → |
| Brodersdorf | Settlement | Plön | 390 | 375 | → |
| Dannau | Settlement | Plön | 550 | 490 | → |
| Darry | Settlement | Plön | 600 | 590 | → |
| Dersau | Settlement | Plön | 820 | 880 | → |
| Fargau | Settlement | Plön | 345 | 330 | → |
| Ferienzentrum Holm | Leisure Facility | Plön | 260 | 375 | → |
| Fiefbergen | Settlement | Plön | 550 | 510 | → |
| Giekau | Settlement | Plön | 390 | 360 | → |
| Grebin | Settlement | Plön | 415 | 430 | → |
| Großharrie | Settlement | Plön | 500 | 435 | → |
| Heikendorf | Settlement | Plön | 7,890 | 7,980 | → |
| Hohenfelde | Settlement | Plön | 780 | 750 | → |
| Hohwacht (Ostsee) | Settlement | Plön | 540 | 445 | → |
| Hollenbek | Settlement | Plön | 370 | 335 | → |
| Husberg | Settlement | Plön | 1,590 | 1,610 | → |
| Kaköhl | Settlement | Plön | 445 | 430 | → |
| Kalübbe | Settlement | Plön | 415 | 405 | → |
| Kirchbarkau | Settlement | Plön | 730 | 780 | → |
| Kleinkühren | Settlement | Plön | 320 | 305 | → |
| Kleinmeinsdorf | Settlement | Plön | 345 | 310 | → |
| Köhn | Settlement | Plön | 375 | 315 | → |
| Krokau | Settlement | Plön | 375 | 325 | → |
| Krummbek | Settlement | Plön | 345 | 330 | → |
| Laboe | Settlement | Plön | 4,900 | 5,410 | → |
| Lepahn | Settlement | Plön | 350 | 300 | → |
| Lilienthal | Settlement | Plön | 415 | 400 | → |
| Lütjenburg | Settlement | Plön | 5,460 | 5,210 | → |
| Lutterbek | Settlement | Plön | 365 | 325 | → |
| Mönkeberg | Settlement | Plön | 3,810 | 4,080 | → |
| Nettelsee | Settlement | Plön | 425 | 420 | → |
| Passade | Settlement | Plön | 310 | 345 | → |
| Plön | Settlement | Plön | 8,570 | 8,780 | → |
| Postfeld | Settlement | Plön | 380 | 380 | → |
| Prasdorf | Settlement | Plön | 430 | 430 | → |
| Preetz | Settlement | Plön | 15,210 | 15,960 | → |
| Probsteierhagen | Settlement | Plön | 1,560 | 1,820 | → |
| Pülsen | Settlement | Plön | 295 | 310 | → |
| Schellhorn | Settlement | Plön | 1,270 | 1,240 | → |
| Schlesen | Settlement | Plön | 445 | 485 | → |
| Schönberger Strand | Settlement | Plön | 400 | 540 | → |
| Schönberg (Holstein) | Settlement | Plön | 4,970 | 4,880 | → |
| Schönböken | Settlement | Plön | 500 | 500 | → |
| Schönkirchen | Settlement | Plön | 5,570 | 5,990 | → |
| Schwartbuck | Settlement | Plön | 700 | 680 | → |
| Schwentinental | Settlement | Plön | 13,220 | 13,560 | → |
| Selent | Settlement | Plön | 1,360 | 1,680 | → |
| Stakendorf | Settlement | Plön | 410 | 425 | → |
| Stein | Settlement | Plön | 760 | 740 | → |
| Stolpe | Settlement | Plön | 950 | 1,000 | → |
| Tasdorf | Settlement | Plön | 350 | 325 | → |
| Tökendorf | Settlement | Plön | 510 | 540 | → |
| Wankendorf | Settlement | Plön | 2,800 | 2,780 | → |
| Warnau | Settlement | Plön | 345 | 375 | → |
| Wendtorf | Settlement | Plön | 1,040 | 940 | → |
| Wisch | Settlement | Plön | 560 | 520 | → |
| Wittenberger Passau | Settlement | Plön | 530 | 560 | → |
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.