The age structure of Germany's population has changed significantly in recent decades. While roughly two-thirds of the population has fit into the 15-64 age bracket consistently since the 1960s, the share of those aged under 14 years has almost halved since this time while the share of those aged 65+ has doubled.
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.
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Context
The dataset tabulates the data for the New Germany, MN population pyramid, which represents the New Germany population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
Age groups:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for New Germany Population by Age. You can refer the same here
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...
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The dataset tabulates the data for the German, New York population pyramid, which represents the German town population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for German town Population by Age. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the data for the German Valley, IL population pyramid, which represents the German Valley population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for German Valley Population by Age. You can refer the same here
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.
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.
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Population ages 0-14 (% of total population) in Germany was reported at 13.92 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Germany - Population ages 0-14 (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.
https://www.gesis.org/en/institute/data-usage-termshttps://www.gesis.org/en/institute/data-usage-terms
Subject of the study is the interrelationship between population-development and economic cycles. Lösch ask the question, how changes of the population development have an impact on economic development and vice versa: how changes in economic development have an impact on population development.
The tables, included in the Database HISTAT, are an assortment of tables, which refer to primary sources. Computed tables of the study are not included in HISTAT.
Tables in the ZA-Online-Database HISTAT:
As of 2024, the average age of the German population was **** years. The average age has been increasing since 2011. The age group distribution in Germany confirms this.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the data for the Germany Township, Pennsylvania population pyramid, which represents the Germany township population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Germany township Population by Age. You can refer the same here
As of 2022, the German population is predicted to have 15.8 million members aged 0 to 20 years and 44.7 million aged 20 to 60 years. Predictions for the next decades until 2070 show that figures for these age groups will decline.
This statistic shows the age distribution of Tumblr users in Germany in September 2013. In the period of consideration, roughly 25 percent of users visiting the blogging platform were aged between 18 and 24 years.
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License information was derived automatically
Germany - Distribution of population by household types: Three or more adults was 6.80% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Germany - Distribution of population by household types: Three or more adults - last updated from the EUROSTAT on June of 2025. Historically, Germany - Distribution of population by household types: Three or more adults reached a record high of 7.40% in December of 2020 and a record low of 5.80% in December of 2019.
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Germany - Distribution of population by household types: Two adults younger than 65 years was 16.00% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Germany - Distribution of population by household types: Two adults younger than 65 years - last updated from the EUROSTAT on July of 2025. Historically, Germany - Distribution of population by household types: Two adults younger than 65 years reached a record high of 17.10% in December of 2020 and a record low of 15.90% in December of 2009.
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Germany - Distribution of population by tenure status, type of household and income group - EU-SILC survey was 47.20% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Germany - Distribution of population by tenure status, type of household and income group - EU-SILC survey - last updated from the EUROSTAT on June of 2025. Historically, Germany - Distribution of population by tenure status, type of household and income group - EU-SILC survey reached a record high of 53.40% in December of 2011 and a record low of 46.50% in December of 2022.
This statistic shows the number of active Facebook users in Germany in January 2011 and 2014, broken down by age group. In January 2014, there were roughly 3.2 million German Facebook users aged between 13 and 17 years.
Sources: Prussian official statistics, statistical handbooks of the prussian state, monthly issues of the German Empire´s official statistics, official statistics of the German Empire, selected scientific publications.
The work of Kraus represents a collection of material on population, on population movement and on population structure according to age and sex. The study is subdivided into the individual member states of the German Confederation on the area of the future German Reich, the provinces of Prussia as well as the German Reich in total. The values to the variables inhabitants, marriages, number of births, number of deaths without stillborn ones, number of deaths are to be found in the a-tables. The number of inhabitants according to sex and the age groups of the inhabitants according to sex are to be found in the b-tables. A- and b-tables both contain absolute and relative numbers. Subjects: Tables in the ZA-Online-Database HISTAT: Tables of Population figure and population movement and tables of the distribution by age and sex for the German countries: - Kingdom of Wuerttemberg (Königreich Württemberg) (1815-1875)- Grand Duchy Baden (Großherzogtum Baden) (1815-1875)- Duchy of Braunschweig (Herzogtum Braunschweig) (1816-1875)- Kingdom of Saxony (Königreich Sachsen) (1815-1875)- Grand Duchy of Hesse (Großherzogtum Hessen) (1815-1875)- Kongdom of Bavaria (Königreich Bayern (mit Pfalz)) (Population figure and -movement: 1816-1875; Distribution by age and sex: 1834-1875)- Bavaria to the west of the Rhine: Palatinate (Pfalz) (1818-1875)- Grand Duchy of Mecklenburg-Strelitz, including the principality of Ratzeburg (Großherzogtum Mecklenburg-Strelitz, einschließlich des Fürstentums Ratzeburg) (1815-1875)- Grand Duchy of Mecklenburg-Schwerin (Großherzogtum Mecklenburg-Schwerin) (1815-1875)- Grand Duchy of Oldenburg (Großherzogtum Oldenburg) (1855-1875)- Kingdom of Hannover, since 1966 prussian province (Königreich Hannover, ab 1866 preußische Provinz Hannover) (1815-1875)- The various prussian administrative districts and provinces (1815-1875)- The Free Hanseatic Cities Hamburg, Luebeck and Bremen Tables of Population figure and population movement- The German Empire without Alsace-Lorraine (Deutsches Reich (ohne Elsaß-Lothringen)) (1841-1875)- The German Empire with Alsace-Lorraine (Deutsches Reich (mit Elsaß-Lothringen)) (1840-1875)- Alsace-Lorraine (Elsaß-Lothringen) (1821-1875)
The age structure of Germany's population has changed significantly in recent decades. While roughly two-thirds of the population has fit into the 15-64 age bracket consistently since the 1960s, the share of those aged under 14 years has almost halved since this time while the share of those aged 65+ has doubled.