Regions of Germany (NUTS 2) by population density
Berlin had the highest population density of 38 regions in 2018, at 4,289.8 inhabitants per km². Mecklenburg-Vorpommern had the lowest, at 71.3 inhabitants per km². The median was 217.3 inhabitants per km² and the figure for Germany was 234.7 inhabitants per km². Source: Eurostat, European Commission.
All regions, 2018
Full ranking
| Rank | Regions | 2018 | Change on 2017 |
|---|---|---|---|
| 1 | Berlin | 4,289.8 | +1% |
| 2 | Hamburg | 2,585.7 | +0.8% |
| 3 | Bremen | 1,744.3 | +0.3% |
| 4 | Düsseldorf | 1,005.9 | +0.1% |
| 5 | Köln | 611.8 | +0.3% |
| 6 | Darmstadt | 539.3 | +0.6% |
| 7 | Arnsberg | 449.3 | -0% |
| 8 | Karlsruhe | 408.2 | +0.5% |
| 9 | Stuttgart | 392 | +0.6% |
| 10 | Saarland | 386.9 | -0.3% |
| 11 | Münster | 379.9 | +0.1% |
| 12 | Detmold | 316.2 | 0% |
| 13 | Rheinhessen-Pfalz | 302.4 | +0.3% |
| 14 | Oberbayern | 271.6 | +0.6% |
| 15 | Leipzig | 266.9 | +0.8% |
| 16 | Mittelfranken | 244.7 | +0.6% |
| 17 | Freiburg | 244 | +0.6% |
| 18 | Hannover | 238.8 | +0.3% |
| 19 | Chemnitz | 221.3 | -0.6% |
| 20 | Tübingen | 213.2 | +0.6% |
| 21 | Dresden | 205.7 | -0.1% |
| 22 | Braunschweig | 197.4 | +0.1% |
| 23 | Gießen | 194.7 | +0.2% |
| 24 | Schwaben | 190.2 | +0.8% |
| 25 | Schleswig-Holstein | 187.8 | +0.3% |
| 26 | Koblenz | 186.4 | +0.2% |
| 27 | Weser-Ems | 169.2 | +0.4% |
| 28 | Unterfranken | 154.8 | +0.3% |
| 29 | Oberfranken | 147.9 | +0.3% |
| 30 | Kassel | 147.5 | +0.1% |
| 31 | Thüringen | 133 | -0.4% |
| 32 | Niederbayern | 120.3 | +0.8% |
| 33 | Oberpfalz | 114.8 | +0.5% |
| 34 | Lüneburg | 111 | +0.2% |
| 35 | Sachsen-Anhalt | 109.4 | -0.6% |
| 36 | Trier | 108.2 | +0.3% |
| 37 | Brandenburg | 86.4 | +0.3% |
| 38 | Mecklenburg-Vorpommern | 71.3 | -0.1% |
Other periods
About this ranking
Resident population divided by land area in km². World Bank figures use mid-year population and land area excluding inland water.
United States: Census Bureau population estimates for 1 July divided by land area (water excluded) from the latest Census Gazetteer files. US tables often give people per square mile; multiply persons per km² by 2.59 to compare.
Every value in the ranking comes from the same publisher and the same period, so the regions are compared on one definition. Equal values share a rank.
How to cite
Eurostat. Population density by NUTS 3 region (demo_r_d3dens). https://ec.europa.eu/eurostat/databrowser/view/demo_r_d3dens/default/table. Retrieved 2026-10-08.
Use this data in your AI agent
Invokely serves this figure to AI assistants through MCP and to code through a REST API, with the source and citation attached. Ask your assistant:
Rank Regions of Germany by population density using official data, and cite the source.
rank_places {"indicator":"population_density","level":"region","within":"Germany","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=population_density&level=region&within=Germany&limit=10
Questions
Which region has the highest population density?
Berlin, with 4,289.8 inhabitants per km² in 2018, according to Eurostat, European Commission.
Which region has the lowest population density?
Mecklenburg-Vorpommern, with 71.3 inhabitants per km² in 2018.
Where does this ranking come from?
Every value comes from one source and one period, so the places are comparable: Eurostat, European Commission, Population density by NUTS 3 region (demo_r_d3dens). Retrieved 2026-10-08.
Population density: other rankings
- Countries
- EU countries
- US states
- EU regions (NUTS 2)
- US counties
- Autonomous communities of Spain
- Provinces of Spain
- Municipalities of Spain
- Regions of France (NUTS 2)
- Regions of Italy (NUTS 2)
- Regions of Poland (NUTS 2)
- Regions of Greece (NUTS 2)
Regions of Germany (NUTS 2): more rankings
- Activity rate
- At-risk-of-poverty rate
- Live births
- Crude birth rate
- Crude death rate
- Deaths
- Age dependency ratio (ages 15 to 64 base)
- Employment rate
- Total fertility rate
- Gross domestic product (GDP)
- Real GDP growth
- GDP per capita
- GDP per capita in PPS (EU27 = 100)
- Household disposable income per inhabitant
- Household disposable income per inhabitant in PPS
- Life expectancy at birth