11 datasets found
  1. M

    Frankfurt am Main, Germany Metro Area Population | Historical Data | Chart |...

    • macrotrends.net
    csv
    Updated Oct 31, 2025
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    MACROTRENDS (2025). Frankfurt am Main, Germany Metro Area Population | Historical Data | Chart | 1950-2025 [Dataset]. https://www.macrotrends.net/datasets/global-metrics/cities/204332/frankfurt-am-main/population
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    csvAvailable download formats
    Dataset updated
    Oct 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    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, 1950 - Nov 24, 2025
    Area covered
    Germany
    Description

    Historical dataset of population level and growth rate for the Frankfurt am Main, Germany metro area from 1950 to 2025.

  2. g

    Population Districts Frankfurt am Main | gimi9.com

    • gimi9.com
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    Population Districts Frankfurt am Main | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_3be1af84-12d5-4d91-979a-3a468c77ed4e
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    Area covered
    Main, Frankfurt am Main
    Description

    🇩🇪 Germany

  3. Berlin residential population in Germany in 2023, by age group

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Berlin residential population in Germany in 2023, by age group [Dataset]. https://www.statista.com/statistics/519750/berlin-population-by-age-group/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Germany
    Description

    The largest age groups among Berlin’s residential population were aged 25-39 and 40-59 years. The latter was actually the most represented age group in the German capital. The age group with the least number of residents were babies aged younger than one year. Slowly growing population Berlin’s residential population has been growing in recent years, though at a slow pace. Generally, the urban population in Germany has been increasing, with over 77 percent living in cities. Berlin does not have the most expensive rent space in Germany, compared to Munich in the south or Frankfurt in central Germany, which could be a draw for younger age groups moving to the capital. On the other hand, just as in the rest of the country, the city’s age group structure is affected by a struggling birth rate. Uncertain future Based on recent figures, Berlin’s total population was almost at four million. Germany’s population count currently stands at almost 84.5 million and is forecast to decrease rather than increase in the 2020s.

  4. g

    Media-Analyse (MA 78)

    • search.gesis.org
    • da-ra.de
    Updated Apr 13, 2010
    + more versions
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    Arbeitsgemeinschaft Media-Analyse, Frankfurt; Media-Micro-Census, Frankfurt (2010). Media-Analyse (MA 78) [Dataset]. http://doi.org/10.4232/1.0855
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    Dataset updated
    Apr 13, 2010
    Dataset provided by
    GESIS search
    GESIS Data Archive
    Authors
    Arbeitsgemeinschaft Media-Analyse, Frankfurt; Media-Micro-Census, Frankfurt
    License

    https://www.gesis.org/en/institute/data-usage-termshttps://www.gesis.org/en/institute/data-usage-terms

    Description

    Media usage of the West German population in 1977.

    Topics: The content of the study is largely identical to the content of ZA Study No. 0850 or 1152.

  5. Third-Level Education in Germany - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Oct 16, 2025
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    IBISWorld (2025). Third-Level Education in Germany - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/germany/industry/third-level-education/1571/
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    Dataset updated
    Oct 16, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    Germany
    Description

    Universities are part of the tertiary education sector and offer students an academic education. They are divided into state and private universities, which differ in terms of their funding. While state universities are mainly financed by public funds, private universities are primarily financed by tuition fees. In the last five years, more and more school leavers have decided to study at university, which has increased the demand for places. The number of private universities in particular has grown. They are increasingly offering study programmes that are rarely available in this form at state universities. Turnover in the sector has risen by an average of 0.9% per year over the last five years and is expected to total 75.6 billion euros in the current year. Compared to the previous year, this corresponds to growth of 0.7%.Public spending on education has risen over the last five years, which has also increased the income of universities. In addition, spending on research and development by the state and private institutions has increased, meaning that they are awarding more research contracts to universities. With the outbreak of the coronavirus pandemic, universities have had to switch from face-to-face teaching to digital teaching at short notice and have had to make some very high investments to do so. In the five years up to and including 2029, average annual growth in industry turnover of 3.5% to 89.6 billion euros is expected in 2029. Due to the increasing academisation of many training occupations and a steadily growing range of courses on offer, demand for the services provided by universities is rising. Due to demographic change, however, student numbers are expected to decline in the long term, as the number of people in the relevant age group will decrease. The first signs of this can already be seen in the declining number of first-year students. It can be assumed that universities will increasingly focus on adult continuing education in the coming years.

  6. A molecular, morphological, and physiological comparison of English and...

    • plos.figshare.com
    xlsx
    Updated Jun 9, 2023
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    Kwankamol Limsopatham; Martin J. R. Hall; Richard Zehner; Barbara K. Zajac; Marcel A. Verhoff; Narin Sontigun; Kom Sukontason; Kabkaew L. Sukontason; Jens Amendt (2023). A molecular, morphological, and physiological comparison of English and German populations of Calliphora vicina (Diptera: Calliphoridae) [Dataset]. http://doi.org/10.1371/journal.pone.0207188
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    xlsxAvailable download formats
    Dataset updated
    Jun 9, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Kwankamol Limsopatham; Martin J. R. Hall; Richard Zehner; Barbara K. Zajac; Marcel A. Verhoff; Narin Sontigun; Kom Sukontason; Kabkaew L. Sukontason; Jens Amendt
    License

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

    Description

    The bluebottle blow fly Calliphora vicina is a common species distributed throughout Europe that can play an important role as forensic evidence in crime investigations. Developmental rates of C. vicina from distinct populations from Germany and England were compared under different temperature regimes to explore the use of growth data from different geographical regions for local case work. Wing morphometrics and molecular analysis between these populations were also studied as indicators for biological differences. One colony each of German and English C. vicina were cultured at the Institute of Legal Medicine in Frankfurt, Germany. Three different temperature regimes were applied, two constant (16°C & 25°C) and one variable (17–26°C, room temperature = RT). At seven time points (600, 850, 1200, 1450, 1800, 2050, and 2400 accumulated degree hours), larval lengths were measured; additionally, the durations of the post feeding stage and intrapuparial metamorphosis were recorded. For the morphometric and molecular study, 184 females and 133 males from each C. vicina population (Germany n = 3, England n = 4) were sampled. Right wings were measured based on 19 landmarks and analyzed using canonical variates analysis and discriminant function analysis. DNA was isolated from three legs per specimen (n = 61) using 5% chelex. A 784 bp long fragment of the mitochondrial cytochrome b gene was sequenced; sequences were aligned and phylogenetically analyzed. Similar larval growth rates of C. vicina were found from different geographic populations at different temperatures during the major part of development. Nevertheless, because minor differences were found a wider range of temperatures and sampling more time points should be analyzed to obtain more information relevant for forensic case work. Wing shape variation showed a difference between the German and English populations (P

  7. n

    Data from: Homogenous population genetic structure of the non-native raccoon...

    • data.niaid.nih.gov
    • datasetcatalog.nlm.nih.gov
    • +4more
    zip
    Updated Apr 20, 2016
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    Frank Drygala; Николай Кораблев; Hermann Ansorge; Joerns Fickel; Marja Isomursu; Morten Elmeros; Rafal Kowalczyk; Laima Baltrunaite; Linas Balciauskas; Urmas Saarma; Christoph Schulze; Peter Borkenhagen; Alain C. Frantz; Rafał Kowalczyk (2016). Homogenous population genetic structure of the non-native raccoon dog (Nyctereutes procyonoides) in Europe as a result of rapid population expansion [Dataset]. http://doi.org/10.5061/dryad.mk301
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    zipAvailable download formats
    Dataset updated
    Apr 20, 2016
    Dataset provided by
    Senckenberg Research Institute and Natural History Museum Frankfurt/M
    Mammal Research Institute
    Kiel University
    Landeslabor Berlin-Brandenburg, Frankfurt (Oder), Germany
    Finnish Food Safety Authority Evira
    Musée National d'Histoire Naturelle
    State Agricultural Academy of Velikie Luki
    University of Tartu
    Nature Research Centre
    Aarhus University
    Leibniz Institute for Zoo and Wildlife Research
    Authors
    Frank Drygala; Николай Кораблев; Hermann Ansorge; Joerns Fickel; Marja Isomursu; Morten Elmeros; Rafal Kowalczyk; Laima Baltrunaite; Linas Balciauskas; Urmas Saarma; Christoph Schulze; Peter Borkenhagen; Alain C. Frantz; Rafał Kowalczyk
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Area covered
    Europe
    Description

    The extent of gene flow during the range expansion of non-native species influences the amount of genetic diversity retained in expanding populations. Here, we analyse the population genetic structure of the raccoon dog (Nyctereutes procyonoides) in north-eastern and central Europe. This invasive species is of management concern because it is highly susceptible to fox rabies and an important secondary host of the virus. We hypothesized that the large number of introduced animals and the species’ dispersal capabilities led to high population connectivity and maintenance of genetic diversity throughout the invaded range. We genotyped 332 tissue samples from seven European countries using 16 microsatellite loci. Different algorithms identified three genetic clusters corresponding to Finland, Denmark and a large ‘central’ population that reached from introduction areas in western Russia to northern Germany. Cluster assignments provided evidence of long-distance dispersal. The results of an Approximate Bayesian Computation analysis supported a scenario of equal effective population sizes among different pre-defined populations in the large central cluster. Our results are in line with strong gene flow and secondary admixture between neighbouring demes leading to reduced genetic structuring, probably a result of its fairly rapid population expansion after introduction. The results presented here are remarkable in the sense that we identified a homogenous genetic cluster inhabiting an area stretching over more than 1500km. They are also relevant for disease management, as in the event of a significant rabies outbreak, there is a great risk of a rapid virus spread among raccoon dog populations.

  8. Number of German Jewish refugees arriving in selected countries 1933-1941

    • statista.com
    Updated Sep 16, 2014
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    Statista (2014). Number of German Jewish refugees arriving in selected countries 1933-1941 [Dataset]. https://www.statista.com/statistics/1289780/transit-destination-countries-german-jewish-refugees-wwii/
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    Dataset updated
    Sep 16, 2014
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Germany
    Description

    With the heightened threat to Germany's Jewish population following the Nazi Party's ascent to power in 1933, many German Jews chose to flee or emigrate. In 1933, Germany's Jewish population was approximately 500,000 people; by the end of the war, it is estimated that 300,000 fled the country, and 165,000 were murdered in the Holocaust. In order to flee, most Jewish emigrants from Germany had to give up the majority of their wealth to the German state, whose emigration tax and seizure of property stripped Jews of their financial assets. Destination and transit For Germany's Jewish refugees, the most common destination country was the United States, and almost half of all these refugees would arrive in the U.S. over this 12 year period. As the United States had a strict quota of 27,000 German migrants per year, many refugees were forced to enter via other countries. France was the second most common destination country, receiving 100,000 refugees. However, France was also used as a transit country for German Jews wishing to travel further afield, especially after it was annexed by Germany in 1940. This was also true for several other European countries, such as the Netherlands, which had provided protection for German Jews in the mid-1930s, before rapidly becoming very unsafe following the outbreak of war in 1939. The Frank family Possibly the most famous example of this was the story of Anne Frank and her family. Anne had been born in Frankfurt, Germany in 1929, but her family moved to the Netherlands in 1934 after Hitler came to power. The family then led a relatively comfortable and successful life in Amsterdam, with her father, Otto, founding his own businesses. When the Netherlands was invaded by the Germans in 1940, the family tried to emigrate once more; Otto had been granted a single Cuban visa in 1942, but the family was forced to go into hiding as the restrictions tightened. For the next two years, with the help of non-Jewish friends, they lived in secret in the upper floor of Otto's business premises with several other Jewish refugees, in a small space concealed behind a bookcase. In August 1944, through unknown means, the group was betrayed and then arrested by Dutch authorities, and the Frank family was sent to Auschwitz-Birkenau thereafter. Anne's mother, Edith, died of starvation in Auschwitz within five months of her capture, while Anne and her sister, Margot, died one month later after being transferred to the Bergen-Belsen camp in Germany. Otto was the sole survivor of the group. Otto's secretary, Miep Gies, had saved Anne's diary the day after the group was arrested, which she then gave to Otto; he then devoted much of the remainder of his life to the publication and promotion of his daughter's diary, which has now become one of the most famous and widely-read books in recent history. Additionally, the hiding space is now open to the public, and has become one of the Netherlands' most popular tourist museums.

  9. Leading European cities by GDP in 2021

    • statista.com
    • aurastel.com
    Updated Feb 15, 2024
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    Statista (2024). Leading European cities by GDP in 2021 [Dataset]. https://www.statista.com/statistics/923781/european-cities-by-gdp/
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    Dataset updated
    Feb 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    Europe
    Description

    The city of Paris in France had an estimated gross domestic product of 757.6 billion Euros in 2021, the most of any European city. Paris was followed by the spanish capital, Madrid, which had a GDP of 237.5 billion Euros, and the Irish capital, Dublin at 230 billion Euros. Milan, in the prosperous north of Italy, had a GDP of 228.4 billion Euros, 65 billion euros larger than the Italian capital Rome, and was the largest non-capital city in terms of GDP in Europe. The engine of Europe Among European countries, Germany had by far the largest economy, with a gross domestic product of over 4.18 trillion Euros. The United Kingdom or France have been Europe's second largest economy since the 1980s, depending on the year, with forecasts suggesting France will overtake the UK going into the 2020s. Germany however, has been the biggest European economy for some time, with five cities (Munich, Berlin, Hamburg, Stuttgart and Frankfurt) among the 15 largest European cities by GDP. Europe's largest cities In 2023, Moscow was the largest european city, with a population of nearly 12.7 million. Paris was the largest city in western Europe, with a population of over 11 million, while London was Europe's third-largest city at 9.6 million inhabitants.

  10. g

    Media-Analyse (MA 74)

    • search.gesis.org
    • da-ra.de
    Updated Apr 13, 2010
    + more versions
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    Arbeitsgemeinschaft Media-Analyse, Frankfurt; Media-Micro-Census, Frankfurt (2010). Media-Analyse (MA 74) [Dataset]. http://doi.org/10.4232/1.0851
    Explore at:
    Dataset updated
    Apr 13, 2010
    Dataset provided by
    GESIS search
    GESIS Data Archive
    Authors
    Arbeitsgemeinschaft Media-Analyse, Frankfurt; Media-Micro-Census, Frankfurt
    License

    https://www.gesis.org/en/institute/data-usage-termshttps://www.gesis.org/en/institute/data-usage-terms

    Description

    Media usage of the West German population 1973/1974.

    Topics: The content of this survey is identical to ZA Study No. 0850.

    Demography: age; sex; marital status; number of children; ages of children (classified); religious denomination; school education; vocational training; occupation; employment; income; household income; size of household; composition of household; head of household; social class; city size; state; possession of durable economic goods.

    Interviewer rating: length of interview; time of survey; day of survey; interest in survey topic und willingness of respondent to cooperate.

  11. g

    Media-Analyse (MA 72/I)

    • search.gesis.org
    • da-ra.de
    Updated Apr 13, 2010
    + more versions
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    Arbeitsgemeinschaft Media-Analyse, Frankfurt; Media-Micro-Census, Frankfurt/Main (2010). Media-Analyse (MA 72/I) [Dataset]. http://doi.org/10.4232/1.0848
    Explore at:
    Dataset updated
    Apr 13, 2010
    Dataset provided by
    GESIS search
    GESIS Data Archive
    Authors
    Arbeitsgemeinschaft Media-Analyse, Frankfurt; Media-Micro-Census, Frankfurt/Main
    License

    https://www.gesis.org/en/institute/data-usage-termshttps://www.gesis.org/en/institute/data-usage-terms

    Description

    Media usage of the West German population in 1971.

    Topics: The content of the study is identical to the content of ZA Study No. 0847.

    Demography: age; sex; marital status; number of children; ages of children (classified); religious denomination; school education; occupation; employment; household income; size of household; composition of household; head of household; social class; city size; state; possession of durable economic goods.

    Interviewer rating: day of interview.

  12. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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MACROTRENDS (2025). Frankfurt am Main, Germany Metro Area Population | Historical Data | Chart | 1950-2025 [Dataset]. https://www.macrotrends.net/datasets/global-metrics/cities/204332/frankfurt-am-main/population

Frankfurt am Main, Germany Metro Area Population | Historical Data | Chart | 1950-2025

Frankfurt am Main, Germany Metro Area Population | Historical Data | Chart | 1950-2025

Explore at:
csvAvailable download formats
Dataset updated
Oct 31, 2025
Dataset authored and provided by
MACROTRENDS
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, 1950 - Nov 24, 2025
Area covered
Germany
Description

Historical dataset of population level and growth rate for the Frankfurt am Main, Germany metro area from 1950 to 2025.

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