Mayen-Koblenz
County in Rhineland-Palatinate
County
The population of Mayen-Koblenz.
Name | Status | Population Census 2011-05-09 | |
---|---|---|---|
Mayen-Koblenz | County | 210,307 | → |
Rheinland-Pfalz [Rhineland-Palatinate] | State | 3,989,808 |
Contents: Settlements
The population of the settlements in Mayen-Koblenz.
Name | Status | County | Population Census 2011-05-09 | |
---|---|---|---|---|
Alken | Settlement | Mayen-Koblenz | 660 | → |
Allenz | Settlement | Mayen-Koblenz | 1,280 | → |
Andernach | Settlement | Mayen-Koblenz | 24,700 | → |
Bassenheim | Settlement | Mayen-Koblenz | 2,900 | → |
Bell | Settlement | Mayen-Koblenz | 1,360 | → |
Bendorf | Settlement | Mayen-Koblenz | 15,000 | → |
Boos | Settlement | Mayen-Koblenz | 630 | → |
Brey | Settlement | Mayen-Koblenz | 1,430 | → |
Burgen | Settlement | Mayen-Koblenz | 730 | → |
Dieblich | Settlement | Mayen-Koblenz | 2,070 | → |
Eich | Settlement | Mayen-Koblenz | 2,030 | → |
Ettringen | Settlement | Mayen-Koblenz | 2,720 | → |
Hatzenport | Settlement | Mayen-Koblenz | 610 | → |
Kaltenengers | Settlement | Mayen-Koblenz | 2,020 | → |
Kehrig | Settlement | Mayen-Koblenz | 1,170 | → |
Kell | Settlement | Mayen-Koblenz | 840 | → |
Kettig | Settlement | Mayen-Koblenz | 3,290 | → |
Kirchwald (Kirchesch - Waldesch) | Settlement | Mayen-Koblenz | 920 | → |
Kobern-Gondorf | Settlement | Mayen-Koblenz | 2,680 | → |
Kottenheim | Settlement | Mayen-Koblenz | 2,700 | → |
Kretz | Settlement | Mayen-Koblenz | 690 | → |
Kruft | Settlement | Mayen-Koblenz | 3,880 | → |
Kürrenberg | Settlement | Mayen-Koblenz | 1,140 | → |
Langenfeld | Settlement | Mayen-Koblenz | 700 | → |
Lehmen | Settlement | Mayen-Koblenz | 1,110 | → |
Löf | Settlement | Mayen-Koblenz | 920 | → |
Lonnig | Settlement | Mayen-Koblenz | 1,180 | → |
Mayen | Settlement | Mayen-Koblenz | 15,500 | → |
Mendig | Settlement | Mayen-Koblenz | 8,610 | → |
Mertloch | Settlement | Mayen-Koblenz | 1,390 | → |
Monreal | Settlement | Mayen-Koblenz | 760 | → |
Mülheim-Kärlich | Settlement | Mayen-Koblenz | 10,600 | → |
Münstermaifeld | Settlement | Mayen-Koblenz | 2,410 | → |
Nachtsheim | Settlement | Mayen-Koblenz | 550 | → |
Namedy | Settlement | Mayen-Koblenz | 1,300 | → |
Nickenich | Settlement | Mayen-Koblenz | 3,670 | → |
Niederfell | Settlement | Mayen-Koblenz | 1,030 | → |
Niederwerth | Settlement | Mayen-Koblenz | 1,350 | → |
Nörtershausen | Settlement | Mayen-Koblenz | 620 | → |
Oberfell | Settlement | Mayen-Koblenz | 1,080 | → |
Ochtendung | Settlement | Mayen-Koblenz | 5,060 | → |
Plaidt | Settlement | Mayen-Koblenz | 5,770 | → |
Polch | Settlement | Mayen-Koblenz | 5,840 | → |
Rhens | Settlement | Mayen-Koblenz | 2,880 | → |
Rieden | Settlement | Mayen-Koblenz | 1,230 | → |
Rüber | Settlement | Mayen-Koblenz | 830 | → |
Ruitsch | Settlement | Mayen-Koblenz | 540 | → |
Saffig | Settlement | Mayen-Koblenz | 2,220 | → |
Sankt Johann | Settlement | Mayen-Koblenz | 910 | → |
Sankt Sebastian | Settlement | Mayen-Koblenz | 2,440 | → |
Spay | Settlement | Mayen-Koblenz | 1,900 | → |
Stromberg | Settlement | Mayen-Koblenz | 1,450 | → |
Thür | Settlement | Mayen-Koblenz | 1,480 | → |
Trimbs | Settlement | Mayen-Koblenz | 570 | → |
Urbar | Settlement | Mayen-Koblenz | 3,170 | → |
Urmitz | Settlement | Mayen-Koblenz | 3,490 | → |
Vallendar | Settlement | Mayen-Koblenz | 7,990 | → |
Volkesfeld | Settlement | Mayen-Koblenz | 560 | → |
Waldesch | Settlement | Mayen-Koblenz | 2,240 | → |
Weißenthurm | Settlement | Mayen-Koblenz | 8,180 | → |
Weitersburg | Settlement | Mayen-Koblenz | 2,230 | → |
Welling | Settlement | Mayen-Koblenz | 910 | → |
Winningen | Settlement | Mayen-Koblenz | 2,450 | → |
Wolken | Settlement | Mayen-Koblenz | 1,070 | → |
Source: Boundaries and population of settlements are computed by »City Population« using population figures in a 100m grid provided by the Statistisches Bundesamt Deutschland (web) and using geospatial data of the Bundesamt für Kartographie und Geodäsie (web). The settlements are delimited by unsettled and not built-up areas as well as by municipal boundaries.
Because of the computation method, the above population figures are not exact and therefore rounded. Area figures are derived from geospatial data.