Historical dataset showing Germany population density by year from 1961 to 2022.

Population density (people per sq. km of land area) in Germany was reported at 240 sq. Km in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Germany - Population density (people per sq. km) - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

The population density in Hamburg has been steadily increasing in recent years, with ***** inhabitants per square kilometer in 2023. This statistic shows the population density in Hamburg from 1995 to 2023.

Germany DE: Population Density: People per Square Km data was reported at 238.017 Person/sq km in 2020. This records an increase from the previous number of 237.823 Person/sq km for 2019. Germany DE: Population Density: People per Square Km data is updated yearly, averaging 228.349 Person/sq km from Dec 1961 (Median) to 2020, with 60 observations. The data reached an all-time high of 238.017 Person/sq km in 2020 and a record low of 210.173 Person/sq km in 1961. Germany DE: Population Density: People per Square Km data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Germany – Table DE.World Bank.WDI: Population and Urbanization Statistics. Population density is midyear population divided by land area in square kilometers. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin. Land area is a country's total area, excluding area under inland water bodies, national claims to continental shelf, and exclusive economic zones. In most cases the definition of inland water bodies includes major rivers and lakes.;Food and Agriculture Organization and World Bank population estimates.;Weighted average;

***** people per square kilometer lived in Berlin in 2023. This was an increase compared to the previous year at *****. The population density has been increasing slowly during the specified period.

This dataset features three gridded population dadasets of Germany on a 10m grid. The units are people per grid cell.

Datasets

DE_POP_VOLADJ16: This dataset was produced by disaggregating national census counts to 10m grid cells based on a weighted dasymetric mapping approach. A building density, building height and building type dataset were used as underlying covariates, with an adjusted volume for multi-family residential buildings.

DE_POP_TDBP: This dataset is considered a best product, based on a dasymetric mapping approach that disaggregated municipal census counts to 10m grid cells using the same three underyling covariate layers.

DE_POP_BU: This dataset is based on a bottom-up gridded population estimate. A building density, building height and building type layer were used to compute a living floor area dataset in a 10m grid. Using federal statistics on the average living floor are per capita, this bottom-up estimate was created.

Please refer to the related publication for details.

Temporal extent

The building density layer is based on Sentinel-2 time series data from 2018 and Sentinel-1 time series data from 2017 (doi: http://doi.org/10.1594/PANGAEA.920894)

The building height layer is representative for ca. 2015 (doi: 10.5281/zenodo.4066295)

The building types layer is based on Sentinel-2 time series data from 2018 and Sentinel-1 time series data from 2017 (doi: 10.5281/zenodo.4601219)

The underlying census data is from 2018.

Data format

The data come in tiles of 30x30km (see shapefile). The projection is EPSG:3035. The images are compressed GeoTiff files (*.tif). There is a mosaic in GDAL Virtual format (*.vrt), which can readily be opened in most Geographic Information Systems.

Further information

For further information, please see the publication or contact Franz Schug (franz.schug@geo.hu-berlin.de).
A web-visualization of this dataset is available here.

Publication

Schug, F., Frantz, D., van der Linden, S., & Hostert, P. (2021). Gridded population mapping for Germany based on building density, height and type from Earth Observation data using census disaggregation and bottom-up estimates. PLOS ONE. DOI: 10.1371/journal.pone.0249044

Acknowledgements

Census data were provided by the German Federal Statistical Offices.

Funding
This dataset was produced with funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (MAT_STOCKS, grant agreement No 741950).

239.9 (people per sq. km) in 2022. Population density is midyear population divided by land area in square kilometers.

In 2024, 40-59-year-olds made up the largest age group in Germany, at around 22.3 million people. The most recent figures confirm that the next-largest age group was 65 years and older, at roughly 19 million. Aging population With the number of people belonging to older age groups visibly outstripping younger ones, in recent years it has become clear that Germany’s population is aging. In fact, figures on age structure in Germany depict a constant trend of a slowly increasing population share aged over 65 since 2012. Meanwhile, the share of population members aged 0 to 14 years has been falling, which was also reflected in the fluctuating national birth rate in recent years. A look at the future Germany’s current total population is around 83.6 million. While this number is predicted to increase, the same goes for the age group of 65 years and older. This means that the national population will continue to age.

Comprehensive socio-economic dataset for Germany including population demographics, economic indicators, geographic data, and social statistics. This dataset covers key metrics such as GDP, population density, area, capital city, and regional classifications.

In 2024, the population in Germany, as of December 31 of that year, amounted to around 83.6 million people. This was an increase compared to the previous year.

Density of physicians of Germany rose by 1.32% from 4.5 number per thousand population in 2020 to 4.5 number per thousand population in 2021. Since the 2.36% upward trend in 2011, density of physicians soared by 18.21% in 2021.

Germany administrative division with aggregated population. Built from Kontur Population: Global Population Density for 400m H3 Hexagons on top of OpenStreetMap administrative boundaries data. Enriched with HASC codes for regions taken from Wikidata.
Global version of boundaries dataset: Kontur Boundaries: Global administrative division with aggregated population

Content

A dataset of counties that are representative for Germany with regard to

the average disposable income,

the quota of divorces,

the respective quotas of employees working in the services (excluding logistics, security, and cleaning) and the MINT sectors,

the proportions of age groups in the total proportion of the respective population, with age groups in five-year strata for the population aged between 30 and 65 and the population in the age range between 65 and 75 each considered separately for the calculation of representativeness.

In addition, data from the four big cities Berlin, München (Munich), Hamburg, and Köln (Cologne) were collected and reflected in the dataset.

The dataset is based on the most recent data available at the time of the creation of the dataset, mainly deriving from 2022, as set out in detail in the readme.md file.

Method applied

The selection of the representative counties, as reflected in the dataset, was performed on the basis of official statistics with the aim of obtaining a confidence rate of 95%. The selection was based on a principal component analysis of the statistical data available for Germany and the addition of the regions with the lowest population density and the highest and lowest per capita disposable income. A check of the representativity of the selected counties was performed.

In the case of Leipzig, the city and the district had to be treated together, in deviation from the official territorial division, with respect to a specific use case of the data.

Census data reveals that population density varies noticeably from area to area. Small area census data do a better job depicting where the crowded neighborhoods are. In this map, the yellow areas of highest density range from 30,000 to 150,000 persons per square kilometer. In those areas, if the people were spread out evenly across the area, there would be just 4 to 9 meters between them. Very high density areas exceed 7,000 persons per square kilometer. High density areas exceed 5,200 persons per square kilometer. The last categories break at 3,330 persons per square kilometer, and 1,500 persons per square kilometer.This dataset is comprised of multiple sources. All of the demographic data are from Michael Bauer Research with the exception of the following countries:Australia: Esri Australia and MapData ServicesCanada: Esri Canada and EnvironicsFrance: Esri FranceGermany: Esri Germany and NexigaIndia: Esri India and IndicusJapan: Esri JapanSouth Korea: Esri Korea and OPENmateSpain: Esri España and AISUnited States: Esri Demographics

This statistic shows a distribution of beer sales in relation to the population in Germany as of 2023. In Thuringia and Saxony, beer sales in food retail stores made up ** percent, with * percent of the German population living in this state.

Density of nursing and midwifery personnel of Germany decreased by 0.40% from 12.4 number per thousand population in 2020 to 12.3 number per thousand population in 2021. Since the 2.37% rise in 2019, density of nursing and midwifery personnel rose by 1.74% in 2021.

Population density by NUTS 3 region

Habitat and density effects on the demography of an expanding wolf population in Central Europe

https://doi.org/10.5061/dryad.dncjsxm5m

Tables containing the data used in the demographic analyses of the German wolf population.

Description of the data and file structure

Two tables are provided:

• data_wolf_survival_table.csv. This table contains individual information used in the survival analyses: information on the number of weeks an individual was alive (weeks_date) until confirmed death (status = 1) or went missing (censored, status = 0), sex, the month of the year that the individual was last detected (death_month), the season of the last detection, habitat suitability of the natal (hs_8km_natal) and final territories (hs_8km_final), the information to calculate the territory density in the 50 km buffer in the natal (_first) and final (_last) territories (nterr_buffer50 = the number of territories in buffer...

** percent of German respondents living in areas with over 100,000 inhabitants reported being likely or very likely to use the 9-euro ticket to travel on local and regional transports in the country. In contrast, ** percent of respondents from less populated areas under ****** inhabitants were unlikely or very unlikely to make use of the Federal government's initiative.

This statistic shows the size of the urban and rural populations of Germany between 1960 and 2022. Over the years recorded here, the urban population of Germany has increased, while the rural population has declined. The population of Germany has remained at approximately 82 million during this period.