The median age of Germans in 2020 was 44.9 years, meaning that half the German population was younger, half older. This number decreased slightly from 1950 to 1970, likely due to the baby boom after World War II, then began increasing. It is expected to slowly increase to 47.4 by 2100. Aging in Germany This shift in the age makeup of Germany is driven by having fewer young people and more old people. While it has increased slightly in the last decade, the German fertility rate remains low. Fewer young people lead to a higher median age. Simultaneously, the life expectancy has increased, having the opposite effect. Regional and global trends The entire European Union, due to higher levels of development, shows an upward shift in its age distribution. While this shift is occurring globally, the level of Germany’s median age is a European phenomenon. In other parts of the world, the proportion of young and old inhabitants is skewed sharply toward the young, pulling the median age lower.

As of 2023, the average age of the German population was 44.6 years. The average age has been increasing since 2011.

This dataset is about countries in Germany per year, featuring 4 columns: country, date, median age, and rural land area. The preview is ordered by date (descending).

This scatter chart displays median age (year) against male population (people) and is filtered where the country includes Germany. The data is about countries per year.

This scatter chart displays birth rate (per 1,000 people) against median age (year) and is filtered where the country is Germany. The data is about countries per year.

The average age of mothers in Germany at the birth of their first child was 30.3 years old in 2023, compared to 28.8 years in 2009. The second, third and fourth children are born between the ages of 32 and 35, on average.

This scatter chart displays median age (year) against methane emissions (Mt of CO2 equivalent) and is filtered where the country is Germany. The data is about countries per year.

This scatter chart displays median age (year) against incidence of HIV (per 1,000 uninfected population) and is filtered where the country is Germany. The data is about countries per year.

This scatter chart displays net energy imports (% of energy use) against median age (year) and is filtered where the country includes Germany. The data is about countries per year.

This horizontal bar chart displays median age (year) by region using the aggregation sum and is filtered where the country is Germany. The data is about countries per year.

About this dataset

Context

The dataset tabulates the population of New Germany by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for New Germany. The dataset can be utilized to understand the population distribution of New Germany by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in New Germany. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for New Germany.

Key observations

Largest age group (population): Male # 25-29 years (47) | Female # 10-14 years (39). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the New Germany population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the New Germany is shown in the following column.
• Population (Female): The female population in the New Germany is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in New Germany for each age group.

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 New Germany Population by Gender. You can refer the same here

This dataset is about countries and is filtered where the country includes Germany, featuring 5 columns: capital city, continent, country, currency, and median age. The preview is ordered by population (descending).

This dataset is about countries in Germany per year. It has 4 columns: country, date, ISO 2 country code, and median age. The data is ordered by date (descending).

In 2024, the average age of a gamer in Germany was 38.2 years old. For the last three years, the average age has been over 38. Since the timeline began, the average age has been over 30.

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in New Germany: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 4(2.13%) households where the householder is under 25 years old, 81(43.09%) households with a householder aged between 25 and 44 years, 82(43.62%) households with a householder aged between 45 and 64 years, and 21(11.17%) households where the householder is over 65 years old.
• The age group of 25 to 44 years exhibits the highest median household income, while the largest number of households falls within the 45 to 64 years bracket. This distribution hints at economic disparities within the city of New Germany, showcasing varying income levels among different age demographics.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

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 New Germany median household income by age. You can refer the same here

Average age of death: Germany, Years, Gender

Germany DE: Age Dependency Ratio: % of Working-Age Population data was reported at 57.992 % in 2023. This records an increase from the previous number of 57.162 % for 2022. Germany DE: Age Dependency Ratio: % of Working-Age Population data is updated yearly, averaging 51.632 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 58.518 % in 1971 and a record low of 43.836 % in 1986. Germany DE: Age Dependency Ratio: % of Working-Age Population 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. Age dependency ratio is the ratio of dependents--people younger than 15 or older than 64--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population.;World Bank staff estimates based on age distributions of United Nations Population Division's World Population Prospects: 2024 Revision.;Weighted average;Relevance to gender indicator: this indicator implies the dependency burden that the working-age population bears in relation to children and the elderly. Many times single or widowed women who are the sole caregiver of a household have a high dependency ratio.

This scatter chart displays rural land area (km²) against median age (year) and is filtered where the country is Germany. The data is about countries per year.

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in German town. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in German town. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2023

In terms of income distribution across age cohorts, in German town, the median household income stands at $91,667 for householders within the 25 to 44 years age group, followed by $82,500 for the 45 to 64 years age group. Notably, householders within the 65 years and over age group, had the lowest median household income at $56,875.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific age group

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 median household income by age. You can refer the same here

In Germany, the median age at death from cancer remained almost constant between 2019 and 2021 for both men and women. For men, it consistently stayed at 75 years, while for women it reached its highest value in 2021, at 78 years. This statistic depicts the median age at death from cancer in Germany between 2019 and 2021, by gender.