Emmendingen
County in Baden-Württemberg
County
The population development of Emmendingen.
| Name | Status | Population Census 2011-05-09 | Population Census 2022-05-15 | |
|---|---|---|---|---|
| Emmendingen | County | 156,453 | 166,850 | → |
| Baden-Württemberg | State | 10,486,660 | 11,104,040 |
Contents: Settlements
The population development of the settlements in Emmendingen.
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 | |
|---|---|---|---|---|---|
| Amoltern | Settlement | Emmendingen | 395 | 375 | → |
| Bahlingen am Kaiserstuhl | Settlement | Emmendingen | 3,900 | 4,330 | → |
| Bei der Kirche - Obersimonswald | Settlement | Emmendingen | 455 | 415 | → |
| Bleibach | Settlement | Emmendingen | 1,920 | 2,090 | → |
| Bleichheim | Settlement | Emmendingen | 710 | 660 | → |
| Bombach | Settlement | Emmendingen | 660 | 710 | → |
| Bottingen | Settlement | Emmendingen | 385 | 350 | → |
| Broggingen | Settlement | Emmendingen | 760 | 800 | → |
| Buchholz | Settlement | Emmendingen | 1,730 | 1,910 | → |
| Denzlingen | Settlement | Emmendingen | 13,180 | 13,580 | → |
| Dorf | Settlement | Emmendingen | 620 | 620 | → |
| Elzach | Settlement | Emmendingen | 3,870 | 4,260 | → |
| Emmendingen | Settlement | Emmendingen | 23,730 | 26,840 | → |
| Endingen am Kaiserstuhl | Settlement | Emmendingen | 6,360 | 7,250 | → |
| Forchheim | Settlement | Emmendingen | 1,310 | 1,380 | → |
| Gutach im Breisgau | Settlement | Emmendingen | 1,560 | 1,680 | → |
| Hard | Settlement | Emmendingen | 560 | 580 | → |
| Hecklingen | Settlement | Emmendingen | 880 | 930 | → |
| Heimbach | Settlement | Emmendingen | 1,120 | 1,040 | → |
| Herbolzheim | Settlement | Emmendingen | 6,730 | 7,450 | → |
| Jechtingen | Settlement | Emmendingen | 1,110 | 1,120 | → |
| Kenzingen | Settlement | Emmendingen | 6,940 | 8,060 | → |
| Kiechlinsbergen | Settlement | Emmendingen | 1,000 | 950 | → |
| Königschaffhausen | Settlement | Emmendingen | 1,220 | 1,300 | → |
| Leiselheim | Settlement | Emmendingen | 335 | 445 | → |
| Maleck | Settlement | Emmendingen | 350 | 335 | → |
| Malterdingen | Settlement | Emmendingen | 2,880 | 3,110 | → |
| Niederbrücke | Settlement | Emmendingen | 350 | 325 | → |
| Niederhausen | Settlement | Emmendingen | 1,380 | 1,470 | → |
| Niederwinden | Settlement | Emmendingen | 1,170 | 1,170 | → |
| Nimburg | Settlement | Emmendingen | 1,700 | 1,630 | → |
| Nordweil | Settlement | Emmendingen | 780 | 770 | → |
| Oberhausen | Settlement | Emmendingen | 2,110 | 2,650 | → |
| Ottoschwanden | Settlement | Emmendingen | 930 | 1,000 | → |
| Reute | Settlement | Emmendingen | 3,000 | 2,850 | → |
| Riegel am Kaiserstuhl | Settlement | Emmendingen | 3,550 | 3,900 | → |
| Sasbach am Kaiserstuhl | Settlement | Emmendingen | 1,760 | 1,780 | → |
| Sexau | Settlement | Emmendingen | 2,940 | 3,150 | → |
| Siensbach | Settlement | Emmendingen | 495 | 500 | → |
| Simonswald | Settlement | Emmendingen | 1,160 | 1,170 | → |
| Suggental | Settlement | Emmendingen | 330 | 325 | → |
| Teningen | Settlement | Emmendingen | 8,000 | 8,470 | → |
| Tutschfelden | Settlement | Emmendingen | 670 | 710 | → |
| Unterprechtal | Settlement | Emmendingen | 1,000 | 980 | → |
| Vörstetten | Settlement | Emmendingen | 2,770 | 3,020 | → |
| Wagenstadt | Settlement | Emmendingen | 990 | 1,100 | → |
| Waldkirch | Settlement | Emmendingen | 17,440 | 17,780 | → |
| Wasser | Settlement | Emmendingen | 1,650 | 1,750 | → |
| Weisweil | Settlement | Emmendingen | 2,060 | 2,140 | → |
| Winden im Elztal | Settlement | Emmendingen | 1,410 | 1,400 | → |
| Wyhl am Kaiserstuhl | Settlement | Emmendingen | 3,590 | 3,980 | → |
| Yach | Settlement | Emmendingen | 560 | 530 | → |
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.