69 datasets found
  1. T

    Germany - Population Density (people Per Sq. Km)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 27, 2013
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    TRADING ECONOMICS (2013). Germany - Population Density (people Per Sq. Km) [Dataset]. https://tradingeconomics.com/germany/population-density-people-per-sq-km-wb-data.html
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Jul 27, 2013
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Germany
    Description

    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 July of 2025.

  2. G

    Germany DE: Population Density: People per Square Km

    • ceicdata.com
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    CEICdata.com (2021). Germany DE: Population Density: People per Square Km [Dataset]. https://www.ceicdata.com/en/germany/population-and-urbanization-statistics/de-population-density-people-per-square-km
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    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2009 - Dec 1, 2020
    Area covered
    Germany
    Variables measured
    Population
    Description

    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;

  3. Population density in Hamburg Germany 1995-2023

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Population density in Hamburg Germany 1995-2023 [Dataset]. https://www.statista.com/statistics/1107073/population-density-hamburg-germany/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Hamburg, Germany
    Description

    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.

  4. Population density in Berlin 1995-2023

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Population density in Berlin 1995-2023 [Dataset]. https://www.statista.com/statistics/1109974/population-density-berlin-germany/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Berlin, Germany
    Description

    ***** 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.

  5. Germany Population density

    • hi.knoema.com
    csv, json, sdmx, xls
    Updated Jan 2, 2023
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    Knoema (2023). Germany Population density [Dataset]. https://hi.knoema.com/atlas/Allemagne/Densit%C3%A9-de-la-population?compareto=
    Explore at:
    json, xls, sdmx, csvAvailable download formats
    Dataset updated
    Jan 2, 2023
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2009 - 2020
    Area covered
    Germany
    Variables measured
    Population density
    Description

    238.0 (people per sq. km) in 2020. Population density is midyear population divided by land area in square kilometers.

  6. Z

    Gridded population maps of Germany from disaggregated census data and...

    • data.niaid.nih.gov
    • zenodo.org
    Updated Mar 13, 2021
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    Gridded population maps of Germany from disaggregated census data and bottom-up estimates [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_4601291
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    Dataset updated
    Mar 13, 2021
    Dataset provided by
    Schug, Franz
    Frantz, David
    van der Linden, Sebastian
    Hostert, Patrick
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Germany
    Description

    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).

  7. Population of Germany 2024, by age group

    • statista.com
    Updated Jun 23, 2025
    + more versions
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    Statista (2025). Population of Germany 2024, by age group [Dataset]. https://www.statista.com/statistics/454349/population-by-age-group-germany/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 31, 2024
    Area covered
    Germany
    Description

    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.

  8. w

    Germany - Complete Country Profile & Statistics 2025

    • worldviewdata.com
    html
    Updated Jul 9, 2025
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    World View Data (2025). Germany - Complete Country Profile & Statistics 2025 [Dataset]. https://www.worldviewdata.com/country/germany
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    htmlAvailable download formats
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    World View Data
    License

    https://worldviewdata.com/termshttps://worldviewdata.com/terms

    Time period covered
    2025
    Area covered
    Variables measured
    Area, Population, Literacy Rate, GDP per capita, Life Expectancy, Population Density, Human Development Index, GDP (Gross Domestic Product), Geographic Coordinates (Latitude, Longitude)
    Description

    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.

  9. Beer sales compared to the population in Germany as of 2023

    • statista.com
    Updated Sep 24, 2024
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    Statista (2024). Beer sales compared to the population in Germany as of 2023 [Dataset]. https://www.statista.com/statistics/575098/beer-sales-population-germany/
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    Dataset updated
    Sep 24, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Germany
    Description

    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 11 percent, with 7 percent of the German population living in this state.

  10. Germany Density of physicians

    • knoema.com
    csv, json, sdmx, xls
    Updated Jun 30, 2025
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    Knoema (2025). Germany Density of physicians [Dataset]. https://knoema.com/atlas/Germany/topics/Health/Human-Resources-for-Health-per-1000-population/Density-of-physicians
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    csv, sdmx, xls, jsonAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2010 - 2021
    Area covered
    Germany
    Variables measured
    Density of physicians
    Description

    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.

  11. Z

    Representative Counties of Germany and Their Structural Data

    • data.niaid.nih.gov
    • zenodo.org
    Updated May 9, 2025
    + more versions
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    Maor, Oliver (2025). Representative Counties of Germany and Their Structural Data [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_11166938
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    Dataset updated
    May 9, 2025
    Dataset authored and provided by
    Maor, Oliver
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Germany
    Description

    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.

  12. Population numbers in Germany 1990-2024

    • statista.com
    Updated Jul 1, 2025
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    Population numbers in Germany 1990-2024 [Dataset]. https://www.statista.com/statistics/672608/development-population-numbers-germany/
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    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Germany
    Description

    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.

  13. Population of Germany 1800-2020

    • statista.com
    Updated Aug 9, 2024
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    Statista (2024). Population of Germany 1800-2020 [Dataset]. https://www.statista.com/statistics/1066918/population-germany-historical/
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    Dataset updated
    Aug 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Germany
    Description

    In 1800, the region of Germany was not a single, unified nation, but a collection of decentralized, independent states, bound together as part of the Holy Roman Empire. This empire was dissolved, however, in 1806, during the Revolutionary and Napoleonic eras in Europe, and the German Confederation was established in 1815. Napoleonic reforms led to the abolition of serfdom, extension of voting rights to property-owners, and an overall increase in living standards. The population grew throughout the remainder of the century, as improvements in sanitation and medicine (namely, mandatory vaccination policies) saw child mortality rates fall in later decades. As Germany industrialized and the economy grew, so too did the argument for nationhood; calls for pan-Germanism (the unification of all German-speaking lands) grew more popular among the lower classes in the mid-1800s, especially following the revolutions of 1948-49. In contrast, industrialization and poor harvests also saw high unemployment in rural regions, which led to waves of mass migration, particularly to the U.S.. In 1886, the Austro-Prussian War united northern Germany under a new Confederation, while the remaining German states (excluding Austria and Switzerland) joined following the Franco-Prussian War in 1871; this established the German Empire, under the Prussian leadership of Emperor Wilhelm I and Chancellor Otto von Bismarck. 1871 to 1945 - Unification to the Second World War The first decades of unification saw Germany rise to become one of Europe's strongest and most advanced nations, and challenge other world powers on an international scale, establishing colonies in Africa and the Pacific. These endeavors were cut short, however, when the Austro-Hungarian heir apparent was assassinated in Sarajevo; Germany promised a "blank check" of support for Austria's retaliation, who subsequently declared war on Serbia and set the First World War in motion. Viewed as the strongest of the Central Powers, Germany mobilized over 11 million men throughout the war, and its army fought in all theaters. As the war progressed, both the military and civilian populations grew increasingly weakened due to malnutrition, as Germany's resources became stretched. By the war's end in 1918, Germany suffered over 2 million civilian and military deaths due to conflict, and several hundred thousand more during the accompanying influenza pandemic. Mass displacement and the restructuring of Europe's borders through the Treaty of Versailles saw the population drop by several million more.

    Reparations and economic mismanagement also financially crippled Germany and led to bitter indignation among many Germans in the interwar period; something that was exploited by Adolf Hitler on his rise to power. Reckless printing of money caused hyperinflation in 1923, when the currency became so worthless that basic items were priced at trillions of Marks; the introduction of the Rentenmark then stabilized the economy before the Great Depression of 1929 sent it back into dramatic decline. When Hitler became Chancellor of Germany in 1933, the Nazi government disregarded the Treaty of Versailles' restrictions and Germany rose once more to become an emerging superpower. Hitler's desire for territorial expansion into eastern Europe and the creation of an ethnically-homogenous German empire then led to the invasion of Poland in 1939, which is considered the beginning of the Second World War in Europe. Again, almost every aspect of German life contributed to the war effort, and more than 13 million men were mobilized. After six years of war, and over seven million German deaths, the Axis powers were defeated and Germany was divided into four zones administered by France, the Soviet Union, the UK, and the U.S.. Mass displacement, shifting borders, and the relocation of peoples based on ethnicity also greatly affected the population during this time. 1945 to 2020 - Partition and Reunification In the late 1940s, cold war tensions led to two distinct states emerging in Germany; the Soviet-controlled east became the communist German Democratic Republic (DDR), and the three western zones merged to form the democratic Federal Republic of Germany. Additionally, Berlin was split in a similar fashion, although its location deep inside DDR territory created series of problems and opportunities for the those on either side. Life quickly changed depending on which side of the border one lived. Within a decade, rapid economic recovery saw West Germany become western Europe's strongest economy and a key international player. In the east, living standards were much lower, although unemployment was almost non-existent; internationally, East Germany was the strongest economy in the Eastern Bloc (after the USSR), though it eventually fell behind the West by the 1970s. The restriction of movement between the two states also led to labor shortages in t...

  14. Germany Density of nursing and midwifery personnel

    • knoema.com
    csv, json, sdmx, xls
    Updated Jun 30, 2025
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    Knoema (2025). Germany Density of nursing and midwifery personnel [Dataset]. https://knoema.com/atlas/Germany/topics/Health/Human-Resources-for-Health-per-1000-population/Density-of-nursing-and-midwifery-personnel
    Explore at:
    csv, xls, json, sdmxAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2010 - 2021
    Area covered
    Germany
    Variables measured
    Density of nursing and midwifery personnel
    Description

    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.

  15. d

    Germany

    • deepfo.com
    csv, excel, html, xml
    Updated Jun 25, 2024
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    Deepfo.com by Polyolbion SL, Barcelona, Spain (2024). Germany [Dataset]. https://deepfo.com/en/most/Alemania
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    csv, html, xml, excelAvailable download formats
    Dataset updated
    Jun 25, 2024
    Dataset authored and provided by
    Deepfo.com by Polyolbion SL, Barcelona, Spain
    License

    https://deepfo.com/documentacion.php?idioma=enhttps://deepfo.com/documentacion.php?idioma=en

    Area covered
    Germany
    Description

    Germany. name, long name, population (source), population, constitutional form, drives on, head of state authority, Main continent, number of airports, Airports - with paved runways, Airports - with unpaved runways, Area, Birth rate, calling code, Children under the age of 5 years underweight, Current Account Balance, Death rate, Debt - external, Economic aid donor, Electricity consumption, Electricity consumption per capita, Electricity exports, Electricity imports, Electricity production, Exports, GDP - per capita (PPP), GDP (purchasing power parity), GDP real growth rate, Gross national income, Human Development Index, Health expenditures, Heliports, HIV AIDS adult prevalence rate, HIV AIDS deaths, HIV AIDS people living with HIV AIDS, Hospital bed density, capital city, Currency, Imports, Industrial production growth rate, Infant mortality rate, Inflation rate consumer prices, Internet hosts, internet tld, Internet users, Investment (gross fixed), iso 3166 code, ISO CODE, Labor force, Life expectancy at birth, Literacy, Manpower available for military service, Manpower fit for military service, Manpower reaching militarily age annually, is democracy, Market value of publicly traded shares, Maternal mortality rate, Merchant marine, Military expenditures percent of GDP, Natural gas consumption, Natural gas consumption per capita, Natural gas exports, Natural gas imports, Natural gas production, Natural gas proved reserves, Net migration rate, Obesity adult prevalence rate, Oil consumption, Oil consumption per capita, Oil exports, Oil imports, Oil production, Oil proved reserves, Physicians density, Population below poverty line, Population census, Population density, Population estimate, Population growth rate, Public debt, Railways, Reserves of foreign exchange and gold, Roadways, Stock of direct foreign investment abroad, Stock of direct foreign investment at home, Telephones main lines in use, Telephones main lines in use per capita, Telephones mobile cellular, Telephones mobile cellular per capita, Total fertility rate, Unemployment rate, Unemployment, youth ages 15-24, Waterways, valley, helicopter, canyon, artillery, crater, religion, continent, border, Plateau, marsh, Demonym

  16. Population of East and West Germany 1950-2016

    • statista.com
    Updated Aug 9, 2024
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    Statista (2024). Population of East and West Germany 1950-2016 [Dataset]. https://www.statista.com/statistics/1054199/population-of-east-and-west-germany/
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    Dataset updated
    Aug 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Germany
    Description

    In the immediate aftermath of the Second World War, Germany was split into four zones, each administered by France, the United Kingdom, the United States and the Soviet Union respectively. In 1949, the Soviet-controlled zone formed the German Democratic Republic (East Germany), while the rest became the Federal Republic of Germany (West Germany). In this time, Berlin was also split into four zones, and the three non-Soviet zones formed West Berlin, which was a part of West Germany (although the West's administrative capital was moved to Bonn). One population grows, while the other declines Between 1949 and 1961, an estimated 2.7 million people migrated from East to West Germany. East Germany had a communist government with a socialist economy and was a satellite state of the Soviet Union, whereas West Germany was a liberal democracy with a capitalist economy, and western autonomy increased over time. Because of this difference, West Germany was a much freer society with more economic opportunities. During the German partition, the population of the west grew, from 51 million in 1950 to 62.7 million in 1989, whereas the population of East Germany declined from 18.4 million to just 16.4 million during this time. Little change after reunification In 1989, after four decades of separation, the process of German reunification began. The legal and physical barriers that had split the country were removed, and Germans could freely travel within the entire country. Despite this development, population growth patterns did not change. The population of the 'new states' (East Germany) continued to decline, whereas the population of the west grew, particularly in the 1990s, the first decade after reunification. The reasons for this continued imbalance between German population in the east and west, is mostly due to a low birth rate and internal migration within Germany. Despite the fact that levels of income and unemployment in the new states have gotten closer to those reported for the west (a major obstacle after reunification), life and opportunities in the west continue to attract young Germans from rural areas in the east with detrimental effect on the economy and demography of the new states.

  17. d

    Data from: Habitat and density effects on the demography of an expanding...

    • datadryad.org
    • data.niaid.nih.gov
    zip
    Updated Sep 27, 2024
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    Aimara Planillo; Ilka Reinhardt; Gesa Kluth; Sebastian Collet; Gregor Rolshausen; Carsten Nowak; Katharina Steyer; Götz Ellwanger; Stephanie Kramer-Schadt (2024). Habitat and density effects on the demography of an expanding wolf population in Central Europe [Dataset]. http://doi.org/10.5061/dryad.dncjsxm5m
    Explore at:
    zipAvailable download formats
    Dataset updated
    Sep 27, 2024
    Dataset provided by
    Dryad
    Authors
    Aimara Planillo; Ilka Reinhardt; Gesa Kluth; Sebastian Collet; Gregor Rolshausen; Carsten Nowak; Katharina Steyer; Götz Ellwanger; Stephanie Kramer-Schadt
    Time period covered
    2023
    Description

    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...
  18. d

    Population history in Northern Germany between enlightenment (Aufklärung)...

    • da-ra.de
    Updated 2007
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    Rolf Gehrmann (2007). Population history in Northern Germany between enlightenment (Aufklärung) and the eve of the 1848 German revolution (Vormärz) [Dataset]. http://doi.org/10.4232/1.8185
    Explore at:
    Dataset updated
    2007
    Dataset provided by
    GESIS Data Archive
    da|ra
    Authors
    Rolf Gehrmann
    Time period covered
    1740 - 1840
    Area covered
    Northern Germany, Germany
    Description

    Data collection from official statistics and church registers

  19. Data from: Spatial high-resolution socio-energetic data for municipal energy...

    • figshare.com
    xlsx
    Updated Oct 4, 2019
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    Jann Weinand; Kai Mainzer; Russell McKenna (2019). Spatial high-resolution socio-energetic data for municipal energy system analyses [Dataset]. http://doi.org/10.6084/m9.figshare.7964609.v5
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    xlsxAvailable download formats
    Dataset updated
    Oct 4, 2019
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Jann Weinand; Kai Mainzer; Russell McKenna
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This Data includes a compilation of 40 indicators for all 11,131 German municipalities. In addition to census data such as population density, mobility data such as the number of vehicles and data on the potential of renewable energies such as wind energy potential are included. Apart from the self-assessed data, most of the data set contains public data, the allocation of which to municipalities is very time consuming.Another file contains achievable hydrothermal temperatures in Germany in 8.5 km² resolution

  20. u

    Dataset: a geodata derived neighborhood graph of german municipalities and...

    • fdr.uni-hamburg.de
    csv, jpg, png
    Updated Apr 9, 2020
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    Fraas, Simon; Fraas, Simon (2020). Dataset: a geodata derived neighborhood graph of german municipalities and their metadata [Dataset]. http://doi.org/10.25592/uhhfdm.858
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    png, csv, jpgAvailable download formats
    Dataset updated
    Apr 9, 2020
    Dataset provided by
    Carl Friedrich von Weizsäcker-Zentrum für Naturwissenschaft und Friedensforschung
    Authors
    Fraas, Simon; Fraas, Simon
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The graph presented in this dataset contains all German municipalities and their metadata keyed by NUTS Level 3, provided by the DE BKG as of 06/2019 - changed. All data renderings provided here were done in Cytoscape 3.7.1 (Season file for replication purposes is included in the archives). NUTS is a categorization system for European regions ranging from whole nations (NUTS 0), countries (NUTS 1 and 2), municipalities (NUTS 3) to even smaller regions in some cases (LAU). The AGS (amtlicher Gemeindeschlüssel), which is unique to germany, is also included in the Metadata. Thus the data can be linked with european and german institution sourced data at the same time.


    The archive files contain the following items:

    • Edge-List (NutsA-NutsB) wth NUTS only

    • Node-List with all metadata provided by BKG files.

    • Example Edge-List with Population-Density-Metric connection values

    • Season-File for Cytoscape 3.7.1 to reproduce the renderings in this paper

    All table files are in CSV format with UTF-8 encoding and ; delimiter. Special character like ö, ä, ß, ü have been replaced (with oe, ae, ss, ue) to ensure compatibility.

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Link copied
Close
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TRADING ECONOMICS (2013). Germany - Population Density (people Per Sq. Km) [Dataset]. https://tradingeconomics.com/germany/population-density-people-per-sq-km-wb-data.html

Germany - Population Density (people Per Sq. Km)

Explore at:
2 scholarly articles cite this dataset (View in Google Scholar)
csv, xml, excel, jsonAvailable download formats
Dataset updated
Jul 27, 2013
Dataset authored and provided by
TRADING ECONOMICS
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Jan 1, 1976 - Dec 31, 2025
Area covered
Germany
Description

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 July of 2025.

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