Chart and table of population level and growth rate for the Berlin, Germany metro area from 1950 to 2025. United Nations population projections are also included through the year 2035.

This statistic shows the development of the resident population of the federal state of Berlin from 1960 to 2023. In 2023. Germany's city-state was home to roughly 3.78 million people, up from around 3.75 million the previous year.

About this dataset

Context

The dataset tabulates the New Berlin population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of New Berlin across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of New Berlin was 40,260, a 0.10% decrease year-by-year from 2022. Previously, in 2022, New Berlin population was 40,302, a decline of 0.48% compared to a population of 40,498 in 2021. Over the last 20 plus years, between 2000 and 2023, population of New Berlin increased by 1,765. In this period, the peak population was 40,498 in the year 2021. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the New Berlin is shown in this column.
• Year on Year Change: This column displays the change in New Berlin population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Berlin Population by Year. 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 2023, around 23.3 percent of Berlin's population were foreigners. Figures increased annually during the specified timeline, though less noticeably during the COVID-19 pandemic in 2020 and 2021.

4,244 people per square kilometer lived in Berlin in 2023. This was an increase compared to the previous year at 4,214. The population density has been increasing slowly during the specified period.

About this dataset

Context

The dataset tabulates the New Berlin population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of New Berlin across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2022, the population of New Berlin was 913, a 1.78% increase year-by-year from 2021. Previously, in 2021, New Berlin population was 897, a decline of 1.75% compared to a population of 913 in 2020. Over the last 20 plus years, between 2000 and 2022, population of New Berlin decreased by 211. In this period, the peak population was 1,124 in the year 2000. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the New Berlin is shown in this column.
• Year on Year Change: This column displays the change in New Berlin population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Berlin Population by Year. You can refer the same here

Population data with a closer look at the gender distributions for the year 2022 in Berlin. These include population growth, life expectancy, marriages and birth rates.

Population 16 years and over Poverty Rate Statistics for 2022. This is part of a larger dataset covering poverty in New Berlin, Wisconsin by age, education, race, gender, work experience and more.

Im Jahr 2023 umfasste die Bevölkerung im Bundesland Berlin ungefähr 3,66 Millionen Einwohner. Siehe auch die Anzahl der Einwohner in den anderen deutschen Millionenstädten.

The annual revenue of the public transportation company BVG (Berliner Verkehrsbetriebe) in Berlin, Germany, amounted to over 1.3 billion euros in 2022, an increase of around three percent compared to the previous year. In 2019, the number of passengers using public transportation in Germany’s capital city surpassed 1.6 billion. However, ridership figures fell drastically in 2020 and 2021 due to travel restrictions amid the COVID-19 pandemic. By 2022, ridership had recovered to around 85 percent of pre-pandemic figures.

The Bigger Picture

The number of passengers that traveled with regular urban public transportation in Germany reached a historic level in 2019, with approximately 11.5 billion passengers. Due to the pandemic, the national urban transit ridership fell to under eight billion for two consecutive years, reaching 7.8 billion in 2021. In 2022 passenger numbers climbed to 10 billion, 87 percent of 2019 ridership. Germany-wide ridership recovery, therefore, slightly exceeded the recovery recorded in Berlin.

Sustainability On Public Transportation

The urban bus fleet is the most emission-intensive per passenger among the different public transport modes in Germany. City buses emitted 108 grams of greenhouse gases per passenger-kilometer in 2020. During the same year, German tram and subway networks were 28 percent less carbon intensive per passenger kilometer than urban buses. The carbon intensity per passenger of public transport in 2021 remained affected by decreased passenger numbers, and was higher than it had been in 2019.

Overall, the transportation sector is the third-largest emitter of greenhouse gases (GHGs) in Germany. In 2022, around 20 percent of the GHG emissions came from the transport industry, accounting for almost 147 million metric tons of CO2e.

About this dataset

Context

The dataset tabulates the Berlin population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Berlin. The dataset can be utilized to understand the population distribution of Berlin by age. For example, using this dataset, we can identify the largest age group in Berlin.

Key observations

The largest age group in Berlin, MD was for the group of age 10 to 14 years years with a population of 658 (13.01%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in Berlin, MD was the 70 to 74 years years with a population of 110 (2.18%). 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

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Berlin is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Berlin total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Berlin Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the New Berlin population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for New Berlin. The dataset can be utilized to understand the population distribution of New Berlin by age. For example, using this dataset, we can identify the largest age group in New Berlin.

Key observations

The largest age group in New Berlin, WI was for the group of age 55 to 59 years years with a population of 3,440 (8.52%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in New Berlin, WI was the 80 to 84 years years with a population of 1,317 (3.26%). 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

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the New Berlin is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of New Berlin total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Berlin Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Berlin township population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Berlin township across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Berlin township was 496, a 0.80% decrease year-by-year from 2022. Previously, in 2022, Berlin township population was 500, a decline of 0.79% compared to a population of 504 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Berlin township decreased by 8. In this period, the peak population was 523 in the year 2009. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Berlin township is shown in this column.
• Year on Year Change: This column displays the change in Berlin township population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Berlin township Population by Year. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the Berlin, PA population pyramid, which represents the Berlin 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

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Berlin, PA, is 43.6.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Berlin, PA, is 80.0.
• Total dependency ratio for Berlin, PA is 123.7.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Berlin, PA is 1.2.

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

Variables / Data Columns

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

About this dataset

Context

The dataset tabulates the New Berlin population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of New Berlin. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 732 (58.70% of the total population). 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 cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the New Berlin population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in New Berlin is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the New Berlin 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 New Berlin Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the population of New Berlin by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for New Berlin. The dataset can be utilized to understand the population distribution of New Berlin by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in New Berlin. 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 Berlin.

Key observations

Largest age group (population): Male # 55-59 years (1,677) | Female # 55-59 years (1,763). 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 Berlin population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the New Berlin is shown in the following column.
• Population (Female): The female population in the New Berlin 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 Berlin 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 Berlin Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Berlin by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Berlin across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of female population, with 50.8% of total population being female. 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.

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. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Berlin is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Berlin total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Berlin Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the population of New Berlin by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of New Berlin across both sexes and to determine which sex constitutes the majority.

Key observations

There is a majority of female population, with 57.34% of total population being female. 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.

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. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the New Berlin is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of New Berlin total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Berlin Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Berlin by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Berlin. The dataset can be utilized to understand the population distribution of Berlin by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Berlin. 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 Berlin.

Key observations

Largest age group (population): Male # 60-64 years (349) | Female # 10-14 years (269). 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 Berlin population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Berlin is shown in the following column.
• Population (Female): The female population in the Berlin 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 Berlin 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 Berlin Population by Gender. You can refer the same here