Chart and table of population level and growth rate for the Munich, Germany metro area from 1950 to 2025.

About this dataset

Context

The dataset tabulates the New Munich 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 Munich 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 Munich was 363, a 0.82% decrease year-by-year from 2022. Previously, in 2022, New Munich population was 366, an increase of 0.83% compared to a population of 363 in 2021. Over the last 20 plus years, between 2000 and 2023, population of New Munich increased by 34. In this period, the peak population was 366 in the year 2022. 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 Munich is shown in this column.
• Year on Year Change: This column displays the change in New Munich 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 Munich Population by Year. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the Munich, ND population pyramid, which represents the Munich 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 Munich, ND, is 42.0.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Munich, ND, is 22.4.
• Total dependency ratio for Munich, ND is 64.4.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Munich, ND is 4.5.

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

As of October 2024, the number of Japanese residents in Munich amounted to approximately ***** individuals. The southern German city was home to the second largest Japanese community within Germany after Düsseldorf.

About this dataset

Context

The dataset tabulates the Munich 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 Munich. The dataset can be utilized to understand the population distribution of Munich by age. For example, using this dataset, we can identify the largest age group in Munich.

Key observations

The largest age group in Munich, ND was for the group of age 55 to 59 years years with a population of 53 (15.73%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in Munich, ND was the 45 to 49 years years with a population of 3 (0.89%). 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 Munich is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Munich 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 Munich Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Munich 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 Munich. 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 195 (57.86% 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 Munich population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Munich is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Munich 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 Munich 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.

About this dataset

Context

The dataset tabulates the Munich population by year. The dataset can be utilized to understand the population trend of Munich.

Content

The dataset constitues the following datasets

• Munich, ND Population Dataset: Yearly Figures, Population Change, and Percent Change 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 2024, there were around *** million visitors to Munich’s Oktoberfest celebration. The attendance record was set a year earlier with *** million visitors. Visitors celebrated together for a total of 16 days at the largest folk festival in the world. Beer consumption For many people, the most important aspect of Oktoberfest is beer. Germans, in general, have a reputation for loving this drink and in 2023, there were ** million hectoliters of beer sold in Germany. On average around ** liters of beer per person was consumed in Germany, making its consumption the fourth highest in Europe. Many types of beer are offered at the Munich Oktoberfest, the strongest of which is Hofbräu, with an alcohol content of *** percent. Customers can pay between ***** euros and ***** euros for a beer, and although this may seem expensive, at Oktoberfest it is sold by the liter and so this is not such a bad deal. Crime at Oktoberfest The crowds and drinking mean that there are often elevated levels of crime at Oktoberfest events. Types of crimes that occur at Oktoberfest in Munich include bodily assaults, stealing bags, and, the most commonly committed offense, drunk driving. The higher level of law-breaking means that there is an increased police presence around the event. In 2022, there were almost ***** police deployments at the Munich Oktoberfest.

About this dataset

Context

The dataset tabulates the New Munich 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 Munich. 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 155 (52.19% 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 Munich population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in New Munich is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the New Munich 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 Munich Population by Age. You can refer the same here

The German residential real estate market, valued at €372.77 million in 2025, is experiencing robust growth, projected to expand at a CAGR exceeding 3.06% from 2025 to 2033. This growth is fueled by several key factors. Strong urban population growth in major cities like Berlin, Hamburg, Munich, and Cologne, coupled with increasing household formations and a persistent shortage of housing, particularly in the rental sector, are driving demand. Government initiatives aimed at increasing affordable housing options, while well-intentioned, are struggling to keep pace with the rapid growth. Furthermore, low-interest rates in recent years have stimulated investment in the sector, further contributing to market expansion. However, challenges remain. Strict building regulations and lengthy approval processes can hinder new construction, creating supply constraints. Additionally, rising construction costs and material prices pose a significant challenge, potentially impacting profitability and affordability. The market is segmented by property type (villas and landed houses, condominiums and apartments) and geographically across key cities, reflecting varied market dynamics across different regions. Major players like Vonovia SE, Deutsche Wohnen SE, and LEG Immobilien SE dominate the market, but smaller, regional companies also play a crucial role. The forecast period (2025-2033) anticipates continued, albeit potentially moderated, growth. While the CAGR of 3.06% provides a baseline, it's likely that specific growth rates will fluctuate yearly depending on macroeconomic conditions, interest rate changes, and government policy adjustments. The market segment for condominiums and apartments is expected to maintain a larger share due to higher population density in urban centers and higher demand for rental properties. The ongoing demand, despite challenges, positions the German residential real estate market as a promising sector for long-term investment, albeit with inherent risks associated with regulatory changes and economic fluctuations. The ongoing interplay between supply, demand, and regulatory frameworks will significantly shape the market's trajectory in the coming years. This comprehensive report provides an in-depth analysis of the Germany residential real estate market, covering the period from 2019 to 2033. With a base year of 2025 and a forecast period extending to 2033, this study offers invaluable insights for investors, developers, and industry stakeholders navigating the complexities of the German housing sector. The report utilizes data from the historical period (2019-2024) to create a robust and reliable forecast. Keywords: German real estate market, German housing market, German property market, residential real estate Germany, Berlin real estate, Munich real estate, Hamburg real estate, Cologne real estate, German property prices, German real estate investment. Key drivers for this market are: Strong Demand and Rising Construction Activities to Drive the Market, Rising House Prices in Germany Affecting Demand in the Market. Potential restraints include: Weak economic environment. Notable trends are: Strong Demand And Rising Construction Activities To Drive The Market.

About this dataset

Context

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

Key observations

There is a majority of male population, with 60.53% of total population being male. 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 Munich is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Munich 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 Munich Population by Race & Ethnicity. You can refer the same here

The German condominiums and apartments market is experiencing robust growth, exhibiting a Compound Annual Growth Rate (CAGR) exceeding 7.80% from 2019 to 2024. This expansion is fueled by several key drivers. A burgeoning urban population, particularly in major cities like Berlin, Munich, and Hamburg, is increasing demand for housing. Furthermore, favorable government policies aimed at stimulating housing construction and improving affordability, coupled with low interest rates in recent years (although this may be subject to change), have created a positive investment environment. Strong economic performance in Germany prior to recent global economic uncertainty also contributed to heightened consumer confidence and increased purchasing power, further boosting market activity. While rising construction costs and material shortages present challenges, innovative construction techniques and sustainable building practices are emerging trends mitigating these constraints to some degree. The market is segmented by various factors including location (urban vs. rural), apartment size and type (studio, one-bedroom, etc.), and price range. Analysis of production, consumption, import and export data reveals a dynamic market landscape with significant activity across all segments. Leading players such as Vivawest GmbH, Koster GmbH, and Hochtief Solutions AG are shaping the market through their developments and investments, underscoring the competitiveness and growth potential of this sector. The forecast period of 2025-2033 anticipates continued growth, though potentially at a slightly moderated pace compared to the preceding period, reflecting potential economic shifts and global factors. The market will likely see increased focus on energy-efficient and sustainable buildings, driven by both environmental concerns and government regulations. Competition among developers will remain fierce, with companies focusing on differentiation through innovative designs, prime locations, and advanced building technologies. The regional distribution of growth will likely see continued concentration in major urban areas, while smaller towns and rural areas may experience more moderate expansion, reflecting population distribution trends. Further analysis of the import/export data will provide deeper insights into the role of international trade in influencing supply and demand dynamics. Recent developments include: November 2022: NREP has made its first real estate investment in Germany as part of its strategy to grow throughout Northern Europe. By entering the Polish market in 2021, NREP expanded its reach outside of the Nordic region. Later, through the acquisition of German real estate credit expert Flins Capital Partners, the EUR 18 billion (USD 19.21 Billion) asset management grew both vertically and regionally. NREP announced that it partnered with developer Artisa Group to create 5,000 co-living flats by 2025., September 2022: In Düsseldorf's Stresemannstraße, lime home plans to debut 70 units in the fourth quarter of 2022. In order for the lime home to eventually administer all five levels of the building, IMAXXAM purchased the property. The alliance is founded on an ongoing, fruitful engagement on a project in Munich.. Key drivers for this market are: 4., Aging Population4.; Increased Longevity. Potential restraints include: 4., Inadequate Staffing. Notable trends are: Freehold apartments: Consistent demand maintains steady prices.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 25-29 years (42) | Female # 55-59 years (35). 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 Munich population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Munich is shown in the following column.
• Population (Female): The female population in the Munich 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 Munich 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 Munich Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Munich by race. It includes the population of Munich across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Munich across relevant racial categories.

Key observations

The percent distribution of Munich population by race (across all racial categories recognized by the U.S. Census Bureau): 78.04% are white, 1.48% are Asian, 0.30% are some other race and 20.18% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Munich
• Population: The population of the racial category (excluding ethnicity) in the Munich is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Munich 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 Munich Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Munich by race. It includes the distribution of the Non-Hispanic population of Munich across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Munich across relevant racial categories.

Key observations

With a zero Hispanic population, Munich is 100% Non-Hispanic. Among the Non-Hispanic population, the largest racial group is White alone with a population of 263 (78.04% of the total Non-Hispanic population).

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the Munich
• Population: The population of the racial category (for Non-Hispanic) in the Munich is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Munich total Non-Hispanic 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 Munich Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the New Munich household income by age. The dataset can be utilized to understand the age-based income distribution of New Munich income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• New Munich, MN annual median income by age groups dataset (in 2022 inflation-adjusted dollars)
• Age-wise distribution of New Munich, MN household incomes: Comparative analysis across 16 income brackets

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/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of New Munich income distribution by age. You can refer the same here

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

Cette statistique présente le nombre d'habitants des grandes villes en Allemagne en 2023. Ainsi, Berlin était la ville la plus peuplée d'Allemagne avec 3,78 millions d'habitants, suivie de Hambourg et de Munich.