About this dataset

Context

The dataset tabulates the 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 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 2022, the population of Munich was 188, a 2.59% decrease year-by-year from 2021. Previously, in 2021, Munich population was 193, a decline of 1.03% compared to a population of 195 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Munich decreased by 78. In this period, the peak population was 266 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 Munich is shown in this column.
• Year on Year Change: This column displays the change in 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 Munich Population by Year. You can refer the same here

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

About this dataset

Context

The dataset tabulates the 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 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 Munich was 186, a 0.53% decrease year-by-year from 2022. Previously, in 2022, Munich population was 187, a decline of 2.60% compared to a population of 192 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Munich decreased by 80. In this period, the peak population was 266 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 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 Munich is shown in this column.
• Year on Year Change: This column displays the change in 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 Munich Population by Year. You can refer the same here

About this dataset

Context

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

Key observations

The percent distribution of New Munich population by race (across all racial categories recognized by the U.S. Census Bureau): 97.45% are white and 2.55% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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 New Munich
• Population: The population of the racial category (excluding ethnicity) in the New Munich is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of New 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 New Munich Population by Race & Ethnicity. 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) 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 Munich, ND, is 34.5.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Munich, ND, is 21.8.
• Total dependency ratio for Munich, ND is 56.4.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Munich, ND is 4.6.

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 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

Content

A dataset of counties that are representative for Germany with regard to

the average disposable income,

the quota of divorces,

the respective quotas of employees working in the services (excluding logistics, security, and cleaning) and the MINT sectors,

the proportions of age groups in the total proportion of the respective population, with age groups in five-year strata for the population aged between 30 and 65 and the population in the age range between 65 and 75 each considered separately for the calculation of representativeness.

In addition, data from the four big cities Berlin, München (Munich), Hamburg, and Köln (Cologne) were collected and reflected in the dataset.

The dataset is based on the most recent data available at the time of the creation of the dataset, mainly deriving from 2022, as set out in detail in the readme.md file.

Method applied

The selection of the representative counties, as reflected in the dataset, was performed on the basis of official statistics with the aim of obtaining a confidence rate of 95%. The selection was based on a principal component analysis of the statistical data available for Germany and the addition of the regions with the lowest population density and the highest and lowest per capita disposable income. A check of the representativity of the selected counties was performed.

In the case of Leipzig, the city and the district had to be treated together, in deviation from the official territorial division, with respect to a specific use case of the data.

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 56.98% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

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

About this dataset

Context

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

Key observations

Largest age group (population): Male # 0-4 years (18) | Female # 35-39 years (21). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

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

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

🇩🇪 독일

The dataset contains indicators of urban growth: population, city budget, tax revenue and tourist arrivals from 1960 to 2016.

The Survey of Health, Ageing and Retirement in Europe (SHARE), is a longitudinal micro-data infrastructure created in response to a communication by the European Commission (2000) to the Council and the European Parliament, which identified population ageing and its social and economic challenges to growth and prosperity to be among the most pressing challenges of the 21st century in Europe. SHARE has also become one of the most prestigious social science infrastructures and was in 2011 the first to be appointed a European Research Infrastructure Consortium (ERIC) by the European Council.The overarching objective of SHARE is to better understand the interactions between bio-medical factors, the socio-economic environment and policy interventions in the ageing European populations. SHARE aims to achieve this objective by providing a research infrastructure for fundamental science as well as a tool for policy evaluation and design. Initiated in 2002, SHARE is scheduled to launch, all in all, 10 data collection waves. At present eight waves have been fulfilled and seven waves are available to the research community.

Please also cite the following publications in addition to the SHARE acknowledgement:

Malter, F. and A. Börsch-Supan (Eds.) (2017). SHARE Wave 6: Panel innovations and collecting Dried Blood Spots. Munich: Munich Center for the Economics of Aging (MEA). Börsch-Supan, A., Brandt, M., Hunkler, C., Kneip, T., Korbmacher, J., Malter, F., Schaan, B., Stuck, S. and Zuber, S. (2013). Data Resource Profile: The Survey of Health, Ageing and Retirement in Europe (SHARE). International Journal of Epidemiology DOI: 10.1093/ije/dyt088.

Seasonal animal migration is a widespread phenomenon. At the species level, it has been shown that many migratory animal species track similar climatic conditions throughout the year. However, it remains unclear whether such niche tracking pattern is a direct consequence of individual behaviour or emerges at the population or species level through behavioural variability. Here, we estimated seasonal niche overlap and seasonal niche tracking at the individual and population level of Central European White Storks (Ciconia ciconia). We quantified niche tracking for both weather and climate conditions to control for the different spatio-temporal scales over which ecological processes may operate. Our results indicate that niche tracking is a bottom-up process. Individuals mainly track weather conditions while climatic niche tracking mainly emerges at the population level. This result may be partially explained by a high degree of intra- and inter-individual variation in niche overlap between seasons. Understanding how migratory individuals, populations and species respond to seasonal environments is key for anticipating the impacts of global environmental changes. Methods We trapped 62 adult white storks in the state of Saxony-Anhalt, Germany, and equipped them with solar GPS-ACC transmitters (e-obs GmbH; Munich, Germany) that weighed 55 g including harness, ca. 2% of the average stork’s weight (see [25]). The transmitters recorded GPS fixes every 5 min when solar conditions were good (95% of the time) or every 20 min otherwise. This dataset include a set of maximum 100 GPS locations randomly selected per day and individual to estimate the seasonal niche and to avoid over-fitting the data to some locations.

In addition, each datapoint were associated to three type of environmental variables at two scales, weather and climate. For weather variables, the datapoints were annotated with environmental data of temperature (Land Surface Temperature & Emissivity 1-km Daily Terra; MOD11A1 V6), precipitation (ECMWF Interim Full Daily SFC-FC Total Precipitation; 0.75 deg.; 3 hourly) and Normalized Difference Vegetation Index (NDVI; MODIS Land Vegetation Indices 1km 16 days Terra) using the Env-DATA track annotation tool of MoveBank. For the climate data, we used long-term averaged monthly temperature and precipitation patterns for the time period 1979-2013 at 1 km resolution (CHELSA), and monthly NDVI for the time period 1982-2000 (GIMMS AVHHR Global NDVI), and extracted the values of each variable for all selected points using the “raster” package.

This study is a contribution to hitorical anthropometric research. Anthropometric historiy deals with the interaction of biological and economical processes. Body height and body weight are important indicators of the living standard, having strong effects on economic factors like work productivity and capital formation. Because of the close connection between nutritional status and body height, fertility rate and mortality rate, changes of body height serves a very valuable support for explaining demographic processes. Changes in body height are also indicators for changes in economic situation and for changing living standards of the population. The study is an anthropometric contribution to the nutrition, economics and agrarian history of a region, using body size data of Bavarian people liable for military service. Two topics are treated: 1) The economic circumstances of various goups of society should be described in a very differentiated way. 2) Medical care and living conditions of the population (infant mortality, emergence of deseases, causes of death, etc.) in different county districts should be described. For this purpose the birth cohorts 1813 to 1842 of the county districts Munich city, Munich on the left hand of the Isar, Munich on the right hand of the Isar, Miesbach, Reichenhall, Toelz and Wasserburg were analyzed. Variables (n = 19562): - District of the provincial court (Landgerichtsbezirk) - Birth year - Body height of inductees, in different measures - Legitimacy of Birth (born in wedlock, born out of wedlock) - Occupation of inductees - Occupation of the Father - Death of mother and the father respectively (or of both parents) - Results of the medical examination (reasons for the exemption from military service) - Results of physical categorization (fitness) Key aspects of the study: (1) structural investigation of the districts of the provincial court (2) demographic description of the research areas (districts) (3) determinants of biological standard of living of the districts: - the importance of occupation and social class affiliation - the importance of deseases - the importance of livin conditions (4) Trend of body height - fundmental trend - comparison of inductees’ biological living standards, whose parents are employed at the saline with inductees’ biological living standards, whose parents are farmers and craftspeople. - anthropometric investigation of the population in Munich. (5) Infant mortality, fertility and illegitimacy - infant mortality in Southern Germany and in Bavaria - infant mortality in Munich - infant feeding and infant care in the districts of the provincial court - sex-related infant mortality - mortality of infants, born in wedlock and of infants, born out of wedlock - interrelationship of infant mortality and fertility - causes of death - interrelationship of level of prices and infant mortality (6) Mortality, life expectancy and body height.

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/.

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 157 (60.85% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

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

About this dataset

Context

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

Key observations

The largest age group in New Munich, MN was for the group of age 35 to 39 years years with a population of 35 (12.73%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in New Munich, MN was the 80 to 84 years years with a population of 3 (1.09%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

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 in consideration
• Population: The population for the specific age group in the New Munich is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of New 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 New Munich Population by Age. You can refer the same here

About this dataset

Context

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

Content

The dataset constitues the following three datasets

• New Munich, MN Age Group Population Dataset: A complete breakdown of New Munich age demographics from 0 to 85 years, distributed across 18 age groups
• New Munich, MN Age Cohorts Dataset: Children, Working Adults, and Seniors in New Munich - Population and Percentage Analysis
• New Munich, 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/.

About this dataset

Context

The dataset tabulates the Munich population by race and ethnicity. The dataset can be utilized to understand the racial distribution of Munich.

Content

The dataset will have the following datasets when applicable

Please note that in case when either of Hispanic or Non-Hispanic population doesnt exist, the respective dataset will not be available (as there will not be a population subset applicable for the same)

• Munich, ND Population Breakdown by Race
• Munich, ND Non-Hispanic Population Breakdown by Race
• Munich, ND Hispanic or Latino Population Distribution by Their Ancestries

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/.

About this dataset

Context

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

Content

The dataset constitues the following two datasets across these two themes

• New Munich, MN Population Breakdown by Gender
• New Munich, MN Population Breakdown by Gender and Age

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/.

About this dataset

Context

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

Content

The dataset constitues the following two datasets across these two themes

• Munich, ND Population Breakdown by Gender
• Munich, ND Population Breakdown by Gender and Age

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/.