Rhein-Lahn-Kreis
County in Rhineland-Palatinate
County
The population of Rhein-Lahn-Kreis.
| Name | Status | Population Census 2011-05-09 | |
|---|---|---|---|
| Rhein-Lahn-Kreis | County | 123,203 | → |
| Rheinland-Pfalz [Rhineland-Palatinate] | State | 3,989,808 |
Contents: Settlements
The population of the settlements in Rhein-Lahn-Kreis.
icon links to further information about a selected place including its population structure (gender, age groups, age distribution, nationality, country of birth, religion).| Name | Status | County | Population Census 2011-05-09 | |
|---|---|---|---|---|
| Allendorf | Settlement | Rhein-Lahn-Kreis | 650 | → |
| Altendiez | Settlement | Rhein-Lahn-Kreis | 2,230 | → |
| Arzbach | Settlement | Rhein-Lahn-Kreis | 1,620 | → |
| Bad Ems | Settlement | Rhein-Lahn-Kreis | 8,950 | → |
| Balduinstein | Settlement | Rhein-Lahn-Kreis | 540 | → |
| Becheln | Settlement | Rhein-Lahn-Kreis | 670 | → |
| Birlenbach | Settlement | Rhein-Lahn-Kreis | 1,520 | → |
| Bogel | Settlement | Rhein-Lahn-Kreis | 720 | → |
| Bornich | Settlement | Rhein-Lahn-Kreis | 950 | → |
| Braubach | Settlement | Rhein-Lahn-Kreis | 2,850 | → |
| Buch | Settlement | Rhein-Lahn-Kreis | 550 | → |
| Burgschwalbach | Settlement | Rhein-Lahn-Kreis | 1,000 | → |
| Dachsenhausen | Settlement | Rhein-Lahn-Kreis | 1,000 | → |
| Dahlheim | Settlement | Rhein-Lahn-Kreis | 870 | → |
| Dausenau | Settlement | Rhein-Lahn-Kreis | 1,220 | → |
| Diez | Settlement | Rhein-Lahn-Kreis | 10,800 | → |
| Eppenrod | Settlement | Rhein-Lahn-Kreis | 700 | → |
| Fachbach | Settlement | Rhein-Lahn-Kreis | 1,010 | → |
| Filsen | Settlement | Rhein-Lahn-Kreis | 650 | → |
| Flacht | Settlement | Rhein-Lahn-Kreis | 1,070 | → |
| Friedrichssegen | Settlement | Rhein-Lahn-Kreis | 820 | → |
| Frücht | Settlement | Rhein-Lahn-Kreis | 540 | → |
| Gemmerich | Settlement | Rhein-Lahn-Kreis | 550 | → |
| Gückingen | Settlement | Rhein-Lahn-Kreis | 1,040 | → |
| Hahnstätten | Settlement | Rhein-Lahn-Kreis | 2,860 | → |
| Heistenbach | Settlement | Rhein-Lahn-Kreis | 1,080 | → |
| Holzappel | Settlement | Rhein-Lahn-Kreis | 1,070 | → |
| Holzhausen an der Haide | Settlement | Rhein-Lahn-Kreis | 1,190 | → |
| Holzheim | Settlement | Rhein-Lahn-Kreis | 870 | → |
| Kaltenholzhausen | Settlement | Rhein-Lahn-Kreis | 600 | → |
| Kamp-Bornhofen | Settlement | Rhein-Lahn-Kreis | 1,580 | → |
| Katzenelnbogen | Settlement | Rhein-Lahn-Kreis | 2,140 | → |
| Kaub | Settlement | Rhein-Lahn-Kreis | 870 | → |
| Kestert | Settlement | Rhein-Lahn-Kreis | 630 | → |
| Klingelbach | Settlement | Rhein-Lahn-Kreis | 690 | → |
| Kördorf | Settlement | Rhein-Lahn-Kreis | 500 | → |
| Lahnstein | Settlement | Rhein-Lahn-Kreis | 16,200 | → |
| Lohrheim | Settlement | Rhein-Lahn-Kreis | 550 | → |
| Miehlen | Settlement | Rhein-Lahn-Kreis | 1,850 | → |
| Nassau | Settlement | Rhein-Lahn-Kreis | 3,340 | → |
| Nastätten | Settlement | Rhein-Lahn-Kreis | 4,150 | → |
| Niederneisen | Settlement | Rhein-Lahn-Kreis | 1,460 | → |
| Nievern | Settlement | Rhein-Lahn-Kreis | 820 | → |
| Nochern | Settlement | Rhein-Lahn-Kreis | 500 | → |
| Oberneisen | Settlement | Rhein-Lahn-Kreis | 750 | → |
| Oelsberg | Settlement | Rhein-Lahn-Kreis | 540 | → |
| Osterspai | Settlement | Rhein-Lahn-Kreis | 1,200 | → |
| Sankt Goarshausen | Settlement | Rhein-Lahn-Kreis | 820 | → |
| Scheuern | Settlement | Rhein-Lahn-Kreis | 1,250 | → |
| Schönborn | Settlement | Rhein-Lahn-Kreis | 680 | → |
| Singhofen | Settlement | Rhein-Lahn-Kreis | 1,740 | → |
| Weisel | Settlement | Rhein-Lahn-Kreis | 1,050 | → |
| Weyer | Settlement | Rhein-Lahn-Kreis | 500 | → |
| Winden | Settlement | Rhein-Lahn-Kreis | 690 | → |
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.