In 2023, 40-59-year-olds made up the largest age group in Germany, at almost 23 million people. The most recent figures confirm that the next-largest age group was 65 years and older, at 18.89 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 stands at 84.7 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.

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 the West, and an influx of migrants from...

About this dataset

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

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Germany Township, Pennsylvania, is 25.8.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Germany Township, Pennsylvania, is 26.3.
• Total dependency ratio for Germany Township, Pennsylvania is 52.1.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Germany Township, Pennsylvania is 3.8.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Germany township population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Germany township for the selected age group is shown in the following column.
• Population (Female): The female population in the Germany township for the selected age group is shown in the following column.
• Total Population: The total population of the Germany township for the selected age group is shown in the following column.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for Germany township Population by Age. You can refer the same here

This statistic shows the development of population numbers in Germany from 1990 to 2023. In 2023, the population in Germany, as of December 31 of that year, amounted to 84.67 million people. An increase compared to the previous year.

About this dataset

Context

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

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for German, New York, is 11.9.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for German, New York, is 40.0.
• Total dependency ratio for German, New York is 51.9.
• Potential support ratio, which is the number of youth (working age population) per elderly, for German, New York is 2.5.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the German town population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the German town for the selected age group is shown in the following column.
• Population (Female): The female population in the German town for the selected age group is shown in the following column.
• Total Population: The total population of the German town for the selected age group is shown in the following column.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for German town 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 structure in Germany from 2013 to 2023. In 2023, about 13.92 percent of Germany's total population were aged 0 to 14 years.

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 March of 2025.

About this dataset

Context

The dataset tabulates the data for the North Germany Township, Minnesota population pyramid, which represents the North 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

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for North Germany Township, Minnesota, is 50.0.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for North Germany Township, Minnesota, is 31.9.
• Total dependency ratio for North Germany Township, Minnesota is 81.9.
• Potential support ratio, which is the number of youth (working age population) per elderly, for North Germany Township, Minnesota is 3.1.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the North Germany township population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the North Germany township for the selected age group is shown in the following column.
• Population (Female): The female population in the North Germany township for the selected age group is shown in the following column.
• Total Population: The total population of the North Germany township for the selected age group is shown in the following column.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for North Germany township Population by Age. You can refer the same here

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.

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.

About this dataset

Context

The dataset tabulates the data for the San German Municipio, PR population pyramid, which represents the San German Municipio 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

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for San German Municipio, PR, is 22.1.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for San German Municipio, PR, is 45.2.
• Total dependency ratio for San German Municipio, PR is 67.3.
• Potential support ratio, which is the number of youth (working age population) per elderly, for San German Municipio, PR is 2.2.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the San German Municipio population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the San German Municipio for the selected age group is shown in the following column.
• Population (Female): The female population in the San German Municipio for the selected age group is shown in the following column.
• Total Population: The total population of the San German Municipio for the selected age group is shown in the following column.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for San German Municipio Population by Age. You can refer the same here

In 2023, almost 2.1 million people with a migration background aged 30 to 34 were living in Germany. According to the source, a person is considered as having a migration background when they or at least one parent do not have German citizenship by law. This definition includes the following:1. Immigrated and non-immigrated foreigners.2. Immigrated and non-immigrated naturalized citizens.3. Late emigrants.4. Descendants born with German citizenship within the three groups named above.

In 2024, Germany was the leading EU country in terms of population, with around 85 million inhabitants. In 2050, approximately 89.2 million people will live in Germany, according to the forecast. See the total EU population figures for more information. The global population The global population is rapidly increasing. Between 1990 and 2015, it increased by around 2 billion people. Furthermore, it is estimated that the global population will have increased by another 1 billion by 2030. Asia is the continent with the largest population, followed by Africa and Europe. In Asia,the two most populous nations worldwide are located, China and India. In 2014, the combined population in China and India alone amounted to more than 2.6 billion people. for comparison, the total population in the whole continent of Europe is at around 741 million people. As of 2014, about 60 percent of the global population was living in Asia, with only approximately 10 percent in Europe and even less in the United States. Europe is the continent with the second-highest life expectancy at birth in the world, only barely surpassed by Northern America. In 2013, the life expectancy at birth in Europe was around 78 years. Stable economies and developing and emerging markets in European countries provide for good living conditions. Seven of the top twenty countries in the world with the largest gross domestic product in 2015 are located in Europe.

From 1273 until 1918, Austria was the seat of power of the House of Habsburg; one of Europe's most powerful and influential royal families of the past millennium. During this time and in the subsequent century since the Austro-Hungarian Empire's dissolution, the borders and demography of the Austrian state have changed dramatically, with the population growing from approximately three million people in 1800 to just over nine million in 2020. The area of modern Austria's population rose gradually throughout the nineteenth century, until the early 1900s, where it then dropped and fluctuated during the World Wars, before rising again until recent years.

End of an empire

The assassination of the heir to the Austrian throne, Archduke Franz Ferdinand, in Sarajevo on June 28, 1914, caused Austria to declare war on Serbia, which marked the outbreak of the First World War. The war (and subsequent Spanish Flu pandemic) would see the deaths of more than 1.2 million people from the Austro-Hungarian Empire, and the area of modern Austria's population dropped by almost 400,000 people between 1916 and 1920. In the years preceding the First World War, Slavic nationalism and tensions between various ethnicities in the empire had escalated to a new level; following the dissolution of Austria-Hungary in 1918, new states such as Poland, Czechoslovakia and Yugoslavia were created for corresponding ethnic groups, while Austrian and Hungarian states were created for ethnic Germans and Magyars respectively (Austria still uses this border today). The Treaty of Versailles had forbidden Austria from joining Germany, however in 1938, German Chancellor Adolf Hitler (who was born in Austria) united the two nations as part of the German Third Reich, with overwhelming support by the people of Austria. In the next few years, Austria's population decreased slightly, as a result of the forced relocation of Jews and the outbreak of the Second World War. Due to the Austria-German union, separate records were not kept for Austrian and German deaths during the war, however most estimates put Austria's total at over 350,000 fatalities.

Post-war Austria

Following Germany's defeat, Austria was split into four separately administered sections, and then the Second Austrian Republic was established in 1955, declaring its permanent neutrality in foreign affairs. In the period after this Austria has enjoyed a period of continued prosperity with a high standard of living and reasonable economic growth. Population growth stagnated in the 80's with the legalization of abortion and improved access to contraception, but has grown steadily in the past three decades. Austria is consistently ranked among the top 20 richest countries in the world in terms of GDP per capita, and in 2018 it was ranked 20th in the world by the Human Development Index.

About this dataset

Context

The dataset tabulates the German town population by age. The dataset can be utilized to understand the age distribution and demographics of German town.

Content

The dataset constitues the following three datasets

• German, New York Age Group Population Dataset: A complete breakdown of German town age demographics from 0 to 85 years, distributed across 18 age groups
• German, New York Age Cohorts Dataset: Children, Working Adults, and Seniors in German town - Population and Percentage Analysis
• German, New York Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis

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.

Inspiration

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/.

In 2023, roughly 58.97 million Germans had a migration background. According to the source, a person is considered as having a migration background when they or at least one parent do not have German citizenship by law. This definition includes the following persons:1. Immigrated and non-immigrated foreigners.2. Immigrated and non-immigrated naturalized citizens.3. Late emigrants.4. Descendants born with German citizenship within the three groups named above.

About this dataset

Context

The dataset tabulates the Germany township population by age. The dataset can be utilized to understand the age distribution and demographics of Germany township.

Content

The dataset constitues the following three datasets

• Germany Township, Pennsylvania Age Group Population Dataset: A complete breakdown of Germany township age demographics from 0 to 85 years, distributed across 18 age groups
• Germany Township, Pennsylvania Age Cohorts Dataset: Children, Working Adults, and Seniors in Germany township - Population and Percentage Analysis
• Germany Township, Pennsylvania Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis

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.

Inspiration

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/.

At the beginning of the 19th century, the area of modern-day Italy, at the time a collection of various states and kingdoms, was estimated to have a population of nineteen million, a figure which would grow steadily throughout the century, and by the establishment of the Kingdom of Italy in 1861, the population would rise to just over 26 million.

Italy’s population would see its first major disruption during the First World War, as Italy would join the Allied Forces in their fight against Austria-Hungary and Germany. In the First World War, Italy’s population would largely stagnate at 36 million, only climbing again following the end of the war in 1920. While Italy would also play a prominent role in the Second World War, as the National Fascist Party-led country would fight alongside Germany against the Allies, Italian fatalities from the war would not represent a significant percentage of Italy’s population compared to other European countries in the conflict. As a result, Italy would exit the Second World War with a population of just over 45 million.

From this point onwards the Italian economy started to recover from the war, and eventually boomed, leading to increased employment and standards of living, which facilitated steady population growth until the mid-1980s, when falling fertility and birth rates would cause growth to largely cease. From this point onward, the Italian population would remain at just over 57 million, until the 2000s when it began growing again due to an influx of migrants, peaking in 2017 at just over 60 million people. In the late 2010s, however, the Italian population began declining again, as immigration slowed and the economy weakened. As a result, in 2020, Italy is estimated to have fallen to a population of 59 million.

About this dataset

Context

The dataset tabulates the New Germany population by age. The dataset can be utilized to understand the age distribution and demographics of New Germany.

Content

The dataset constitues the following three datasets

• New Germany, MN Age Group Population Dataset: A complete breakdown of New Germany age demographics from 0 to 85 years, distributed across 18 age groups
• New Germany, MN Age Cohorts Dataset: Children, Working Adults, and Seniors in New Germany - Population and Percentage Analysis
• New Germany, MN Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis

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.

Inspiration

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/.