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

About this dataset

Context

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

Key observations

The percent distribution of Stuttgart population by race (across all racial categories recognized by the U.S. Census Bureau): 54.53% are white, 40.56% are Black or African American, 0.15% are American Indian and Alaska Native, 0.17% are Asian, 0.93% are some other race and 3.66% 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 Stuttgart
• Population: The population of the racial category (excluding ethnicity) in the Stuttgart is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Stuttgart 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 Stuttgart Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

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

Key observations

Of the Non-Hispanic population in Stuttgart, the largest racial group is White alone with a population of 4,361 (55.32% of the total Non-Hispanic population).

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

About this dataset

Context

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

Key observations

The largest age group in Stuttgart, AR was for the group of age Under 5 years years with a population of 668 (8.29%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Stuttgart, AR was the 85 years and over years with a population of 144 (1.79%). 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 Stuttgart is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Stuttgart 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 Stuttgart Population by Age. You can refer the same here

U.S. Census Bureau QuickFacts statistics for Stuttgart city, Arkansas. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

Population shift behavior of the Stuttgart population and reasons for moving from the center of town to the outskirts as well as in the opposite direction.

Topics: Most questions were answered for the situation before and after moving: size of household; number and age of children; form of housing; satisfaction with housing and satisfaction with infrastructure; age of residential building; commuting time to work; move in connection with change of job; criteria for choice of place of residence; rent costs; most important reason for moving.

Demography: Age; sex; school education; occupation; composition of household; head of household.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 0-4 years (400) | Female # 25-29 years (327). 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 Stuttgart population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Stuttgart is shown in the following column.
• Population (Female): The female population in the Stuttgart 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 Stuttgart 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 Stuttgart Population by Gender. You can refer the same here

SNPs are numbered 1–30 reflecting their sequential order on the physical map of SLC10A2 sequence.5′-UTR = untranslated region.aNumbering according to transcript NM_00452 including the transition initiation codon.bNumbering according to NP_00443.1 starting at translation initiation codon.cMinor allele frequencies (MAF) are indicated in bold.dHardy-Weinberg equilibrium.ePolymorphism was previously described to be associated with reduced SLC10A2-expression [32].fNewly identified genetic variant.grs-number is available with the next dbSNP Build, B131 (planned for November 2009).

Sources: Scientific Publications; official Statistics:

Max Broesike (1904), Rückblick auf die Entwicklung der preußischen Bevölkerung von 1875 bis 1900, Preußische Statistik 188, S. 12-14.

Elsner/Lehmann (1988): Ausländische Arbeiter unter dem deutschen Imperialismus, 1900 bis 1985. Berlin: Dietz Verlag.

Hubert, Michel (1998): Deutschland im Wandel. Geschichte der deutschen Bevölkerung seit 1815. Stuttgart: Steiner.

Köbler, Gerhard (2007): Historisches Lexikon der deutschen Länder. Die deutschen Territorien vom Mittelalter bis zur Gegenwart. München: Beck.

Königlich Preußisches Statistisches Landesamt: Statistisches Jahrbuch für den Preußischen Staat, 13. Jahrgang, Berlin 1916 und 16. Jahrgang, Berlin 1920.

Königlich Statistisches Bureau in Berlin: Preußische Statistik (Amtliches Quellenwerk), Heft 139. Die Sterblichkeit nach Todesursachen und Altersklassen der Gestorbenen sowie die Selbstmorde und die tödlichen Verunglückungen im preußischen Staate während des Jahres 1894. Berlin, 1896.

Königlich Statistisches Bureau in Berlin: Preußische Statistik, Heft 188: Rückblick auf die Entwicklung der preußischen Bevölkerung von 1875 bis 1900. Berlin, 1904, S. 105.

Oltmer, Jochen (2005): Migration und Politik in der Weimarer Republik. Göttingen: Vandenhoeck&Ruprecht.

Preußisches Statistisches Landesamt: Statistisches Jahrbuch für den Freistaat Preußen, Statistisches Jahrbuch für den Freistaat Preußen, 17. Band, 1921 und 29. Band, 1933.

Stat. Bundesamt (Hrsg.): Bevölkerung und Erwerbstätigkeit. Fachserie 1, Reihe 2. Ausländische Bevölkerung. Ausgabe 2013, S. 26, Tabelle 1.

Stat. Reichsamt (Hrsg.): Statistisches Jahrbuch für das Deutsche Reich, verschiedene Jahrgänge: Jg. 1880 bis Jg. 1941/42.

Stat. Reichsamt (Hrsg.): Statistik des Deutschen Reichs: Band 360, Band 393, Band 441.

Trevisiol, O.: Die Einbürgerungspraxis im Deutschen Reich 1871-1945. Diss. 2004. Tab. 1, S. 20 und Tab. 4, S. 24. KOPS – Das institutionelle Repositorium der Universität Konstanz, Suche im Bestand ‘Geschichte und Soziologie‘, WEB: http://d-nb.info/974206237/34

Further literature

Bade, Klaus J. (2002): Europa in Bewegung. Migration vom späten 18. Jahrhundert bis zur Gegenwart. München: Beck.

Gosewinkel, Dieter (2001): Einbürgern und Ausschließen. Göttingen: Vandenhoeck & Ruprecht.

Oltmer, Jochen (2012): Globale Migration. Geschichte und Gegenwart. München: Beck.

Oltmer, Jochen (2013): Migration im 19. Und 20. Jahrhundert. München: Oldenbourg.

wikipedia.org

About this dataset

Context

The dataset tabulates the data for the Stuttgart, AR population pyramid, which represents the Stuttgart 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 Stuttgart, AR, is 37.1.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Stuttgart, AR, is 32.2.
• Total dependency ratio for Stuttgart, AR is 69.3.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Stuttgart, AR is 3.1.

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

The author statistically depicts the population growth of the largest German cities between 1871 and 1910. He uses the official statistics. He breaks down the cities into zones in order to make their development comparable. In order to do this, he used the term agglomeration, with which he refers to the contiguous built-up area, with developed infrastructure as well as traffic routes and rail traffic, and their population.

In order to find as uniform a demarcation as possible, he delimits the areas of the respective cities by drawing circles whose radius starts from the center of the city and is 10 km long. This is the entire agglomeration, which finally differentiates it into the inner agglomeration and outer agglomeration. The inner agglomeration is located within 5 km of the city center. The outer agglomeration refers to the areas at a distance of 5 to 10 km around the city center.

The following cities are being investigated by him: Aachen; Augsburg; Berlin; Braunschweig; Bremen; Breslau (Wroclaw); Kassel (in the data old spelling: Cassel); Chemnitz; Cologne (in the data old spelling: Cöln); Krefeld (in the data old spelling: Crefeld); Danzig; Dortmund; Dresden; Dusseldorf; Duisburg; Elberfeld; Erfurt; Essen; Frankfurt a. Main; Halle; Hannover; Karlsruhe; Kiel; Koenigsberg; Leipzig; Magdeburg; Mainz; Mannheim; Munich; Nuremberg; Plauen; Posen; Saarbrücken; Stettin; Strasbourg; Stuttgart.

Variables are the city area, the inhabitants of the city as a whole, the population as an index on the basis of 1971 = 100, the inhabitants of the territories incorporated into the cities between 1871 and 1910, and the population density of the city and the incorporated areas.

Reporting years are 1871, 1880, 1890,1900, and 1910.

The data has been classified in the online database histat (https://histat.gesis.org/histat/) under the topic ´population´.

About this dataset

Context

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

Key observations

There is a slight majority of female population, with 51.41% of total population being female. 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 Stuttgart is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Stuttgart 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 Stuttgart Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the Stuttgart 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 Stuttgart. 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 4,667 (57.90% 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 Stuttgart population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Stuttgart is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Stuttgart 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 Stuttgart Population by Age. You can refer the same here

The range of services provided by general practitioners is essential for the health and general well-being of the population in Germany. The sector's services are characterised by stable demand, which is independent of patient income but increases as the population ages.In 2024, industry turnover is expected to amount to 12.3 billion euros, which corresponds to a decline of 2% compared to the previous year with an average annual decline in turnover of 1.7% between 2019 and 2024. Rising operating costs, an increasing shortage of staff and the switch to digital processes are among the current challenges that are dampening the mood among general practitioners and medical assistants. Added to this are bureaucratic requirements, documentation obligations and controls that tie up doctors' valuable time, which is no longer available for actual patient care. The increasing controls are fuelling professional disenchantment among employees.The sector is characterised by increasing digitalisation processes and forms of cooperation. Against the background of low market concentration and relatively strong competition within the sector, it can prove advantageous for medical practices to focus on service orientation and develop cooperative strategies to utilise economies of scope in order to develop unique selling points in view of the homogeneous range of services. More and more industry players are joining forces to operate larger practices in co-operation with colleagues. Sector-specific challenges also arise from the considerable differences in the healthcare sector between private and public care. For example, the number of private patients is one of the most decisive criteria for doctors' choice of location. By providing financial incentives, state governments are now increasingly trying to promote the establishment of practices in medically underserved regions in order to achieve needs-based medical care. IBISWorld expects industry revenues to increase at an average annual growth rate of 2% to €13.5 billion by 2029. Due to the progressive ageing of the population, the 65-plus patient base will continue to represent a significant market in the future, especially if industry players increasingly align their practice premises and their care, support and treatment offerings with the needs of this age group.

Dataset on seed dispersal and population spread for the paper

Quantifying patch-specific seed dispersal and local population dynamics to estimate population spread of an endangered plant species

Jinlei Zhu^{1, 2,} *, Karolína Hrušková^{1, 3}, Hana Pánková¹, Zuzana Münzbergová^{1, 3}

¹Institute of Botany, Czech Academy of Sciences, Průhonice, Czech Republic

²Institute of Landscape and Plant Ecology, University of Hohenheim, Stuttgart, Germany

³Department of Botany, Faculty of Science, Charles University, Prague, Czech Republic

*Corresponding author: jinlei.zhu@uni-hohenheim.de

Institute of Landscape and Plant Ecology

University of Hohenheim

Ottilie-Zeller-Weg 2, 70599 Stuttgart, Germany

Assessment of parties and politicians for the state election. Political issues.

Topics: Most important problems in the state; intention to vote and party preference in the next state election in Baden-Württemberg (Sunday question); certainty of voting; second preference party; coalition preference; voting behaviour in the last state election in 2006 and the last federal election in 2009; sympathy scalometer for the CDU, SPD, FDP, Bündnis90/Die Grünen and the Linke at federal level as well as at state level; satisfaction scalometer for the performance of the state government of CDU and FDP as well as the performance of the federal government of CDU/CSU and FDP; politics in Baden-Württemberg or federal politics decisive for one´s own election decision; prime minister preference; sympathy scalometer for the top candidates Stefan Mappus, Nils Schmid and Winfried Kretschmann; assessment of the expertise of the aforementioned candidates; assessment of the general economic situation in Baden-Württemberg and of their own economic situation; assessment of the future economic situation in Baden-Württemberg (economic expectations); most competent party in the fields of economy, finance, education and foreigners´ policy; assessment of prime minister Stefan Mappus´ performance in office; mood to change; attitude towards the Stuttgart 21 project; Stuttgart region; assessment of Heiner Geißler´s mediation decision on Stuttgart 21; Importance of Stuttgart 21 for personal voting decisions; support for a referendum on Stuttgart 21; referendum on Stuttgart 21 by the population in Stuttgart, in Baden-Württemberg or in Germany as a whole; attitude towards referendums in general; referendums lead to better political results than parliamentary referendums; party affiliation and strength of party identification; rejection or approval of compulsory voting. approval of compulsory voting.

Demography: age (classified); sex; marital status; living with a partner; highest level of education; employment; occupation or former occupation; assessment of job security; job security; household size; number of eligible voters in household; trade union membership of respondent or other household members; religious denomination; frequency of church attendance (frequency of mosque attendance for Muslims); city size.

Additionally coded were: Birthday key; weighting factor; administrative district; interview date and start of interview; number of calls.

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.

Sources: official statistics; corporation statistics

About this dataset

Context

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

Key observations

Of the Non-Hispanic population in Stuttgart, the largest racial group is White alone with a population of 4,718 (57.40% of the total Non-Hispanic population).

https://i.neilsberg.com/ch/stuttgart-ar-population-by-race-and-ethnicity.jpeg" alt="Stuttgart Non-Hispanic population by race">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Stuttgart
• Population: The population of the racial category (for Non-Hispanic) in the Stuttgart is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Stuttgart 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 Stuttgart Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the Stuttgart Hispanic or Latino population. It includes the distribution of the Hispanic or Latino population, of Stuttgart, by their ancestries, as identified by the Census Bureau. The dataset can be utilized to understand the origin of the Hispanic or Latino population of Stuttgart.

Key observations

Among the Hispanic population in Stuttgart, regardless of the race, the largest group is of Other Hispanic or Latino origin, with a population of 99 (55.93% of the total Hispanic population).

Content

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

Origin for Hispanic or Latino population include:

• Mexican
• Puerto Rican
• Cuban
• Other Hispanic or Latino

Variables / Data Columns

• Origin: This column displays the origin for Hispanic or Latino population for the Stuttgart
• Population: The population of the specific origin for Hispanic or Latino population in the Stuttgart is shown in this column.
• % of Total Hispanic Population: This column displays the percentage distribution of each Hispanic origin as a proportion of Stuttgart total Hispanic or Latino 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 Stuttgart Population by Race & Ethnicity. You can refer the same here