100+ datasets found
  1. Germans and foreign nationals in different professions in Germany 2024

    • statista.com
    Updated Jan 13, 2025
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    Statista Research Department (2025). Germans and foreign nationals in different professions in Germany 2024 [Dataset]. https://www.statista.com/topics/11460/diversity-in-the-workplace-in-germany/
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    Dataset updated
    Jan 13, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    Germany
    Description

    In 2024, the German workforce was made up of around 84 percent Germans and 16 percent foreign nationals. In the field of advertising and marketing, around 90 percent of employees were German and 9.6 percent were not.

  2. Key issues in corporate diversity management in Germany 2021

    • statista.com
    Updated Jan 13, 2025
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    Statista (2025). Key issues in corporate diversity management in Germany 2021 [Dataset]. https://www.statista.com/statistics/1405882/issues-corporate-diversity-management-germany/
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    Dataset updated
    Jan 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    Germany
    Description

    In 2021, around 90 percent of respondents in Germany stated that one of the key issues in corporate diversity management was employees with different cultural backgrounds. 78 percent saw a balanced gender ratio as one of the most important issues.

  3. c

    Diversity Assent in Urban Germany

    • datacatalogue.cessda.eu
    • search.gesis.org
    Updated Jan 2, 2025
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    Schönwälder, Karen; Petermann, Sören; Drouhot, Lucas; Vertovec, Steven; Harris, Eloisa (2025). Diversity Assent in Urban Germany [Dataset]. http://doi.org/10.7802/2581
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    Dataset updated
    Jan 2, 2025
    Dataset provided by
    Universität Bochum
    Universiteit Utrecht
    Max-Planck-Institut zur Erforschung Multireligiöser und Multiethnischer Gesellschaften <Göttingen>
    Authors
    Schönwälder, Karen; Petermann, Sören; Drouhot, Lucas; Vertovec, Steven; Harris, Eloisa
    Area covered
    Germany
    Measurement technique
    Telefonisches Interview
    Description

    How do people living in contemporary Germany react to diversification in their every- day life? What undergirds pro-diversity perspectives among those who live in rapidly diversifying cities? Conversely, what are their limits, and what groups are excluded? The Diversity Assent (DivA) project was designed to understand the foundations and mechanisms underlying the acceptance of socio-demographic heterogeneity on multiple dimensions in cities located both in West and East Germany. Two core motivations underlie the project. So far, we insufficiently understand what motivates those who oppose right- wing positions – usually a majority among inhabitants of cities in Germany and other Western European countries. Second, this project builds on a previous large-scale project of the Socio-Cultural Diversity department at MPI-MMG, “Diversity and Contact”. In particular, it explores to what extent attitudes and patterns of interaction have changed, or remained constant, in the decade from 2010 to 2020, which was a time of major ruptures and political polarization. We designed a large telephone survey of 2,917 respondents asking a set of interrelated questions on dispositions towards diversity, everyday experiences and diversification dynamics. This includes a set of survey experiments designed to tap and measure social norms of tolerance.

  4. German companies with the highest diversity 2021

    • statista.com
    Updated Jan 13, 2025
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    Statista (2025). German companies with the highest diversity 2021 [Dataset]. https://www.statista.com/statistics/1405830/diversity-german-companies/
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    Dataset updated
    Jan 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2021 - Aug 2021
    Area covered
    Germany
    Description

    Infineon, the largest German semiconductor manufacturer, was the most diverse company in Germany in 2021. Fashion company Hugo Boss, then the arms and automotive manufacturer Rheinmetall round off the top three.

  5. Where companies have to catch up when it comes to diversity in Germany 2021

    • statista.com
    Updated Jan 13, 2025
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    Statista (2025). Where companies have to catch up when it comes to diversity in Germany 2021 [Dataset]. https://www.statista.com/statistics/1407000/catching-up-diversity-germany/
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    Dataset updated
    Jan 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2020 - Jul 2021
    Area covered
    Germany
    Description

    According to a report by StepStone in 2021, almost 51 percent of respondents German companies needed to catch up with workplace diversity throught the promotion of older employees. Around 50 percent of people thought equal opportunity of promotions was something needed to be improved.

  6. s

    BIBS Data set: Urban grassland aphid diversity in Berlin, Germany - aphid...

    • repository.soilwise-he.eu
    Updated Aug 26, 2023
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    (2023). BIBS Data set: Urban grassland aphid diversity in Berlin, Germany - aphid survey 2018 [Dataset]. https://repository.soilwise-he.eu/cat/collections/metadata:main/items/a0a097a6-7cfb-40a5-8c00-4687689994ac
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    Dataset updated
    Aug 26, 2023
    Area covered
    Berlin, Germany
    Description

    Table of aphid species presence on individual host plants in each plot along the urbanization gradient as surveyed in 2017

    General description see mother table: (https://doi.org/10.4228/zalf-wkny-ys33); Related datasets are listed in the metadata element 'Related Identifier'. Dataset version 1.0

  7. f

    Data from: Managing internationalisation versus managing diversity? Global...

    • tandf.figshare.com
    pdf
    Updated May 12, 2025
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    David Kaldewey; Małgorzata Rymarzak; Berit Stoppa; Katharina Schmitt; Laila Riedmiller (2025). Managing internationalisation versus managing diversity? Global imperatives and national trajectories in German and Polish universities [Dataset]. http://doi.org/10.6084/m9.figshare.25744904.v2
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    pdfAvailable download formats
    Dataset updated
    May 12, 2025
    Dataset provided by
    Taylor & Francis
    Authors
    David Kaldewey; Małgorzata Rymarzak; Berit Stoppa; Katharina Schmitt; Laila Riedmiller
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    In institutions of higher education, both internationality and diversity are highly valued. Yet the relationship between these two values often remains undefined. On the one hand, the ‘internationalisation imperative’ and the ‘diversity imperative’ can be regarded as two sides of the same coin. On the other hand, they are perceived as two different tasks and are associated with different groups, interests, and organisational units. To better understand their nexus, this article presents a comparative analysis of German and Polish universities. It identifies the administrative units and actors responsible for managing internationalisation and diversity. Mixed methods were used, including surveys in university administrations, publicly available data from universities’ websites, and qualitative interviews with practitioners in both fields. The results illustrate how the traditional ‘International Offices’ and the more recently established ‘Diversity Offices’ are equipped and related to each other. Regarding internationalisation, German and Polish universities have comparable national trajectories as both institutionalise this task at the administrative level and within university leadership. At the same time, there is a gap between the two countries in terms of how they deal with the diversity imperative. Finally, the article raises the practical question of whether the respective units need to reconceptualise their relationship in the future.

  8. s

    BIBS Data set: Urban grassland aphid diversity in Berlin, Germany

    • repository.soilwise-he.eu
    Updated Aug 26, 2023
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    (2023). BIBS Data set: Urban grassland aphid diversity in Berlin, Germany [Dataset]. https://repository.soilwise-he.eu/cat/collections/metadata:main/items/26f9f1fc-b83a-4184-a113-0ba70681ee54
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    Dataset updated
    Aug 26, 2023
    Area covered
    Germany, Berlin
    Description

    Survey of urban aphid biodiversity carried out in 2017 and partially repeated in 2018 along an urbanization gradient in Berlin, Germany. Surveys took place along diagonal transects in 20 quadrats (4x4m) of dry grasslands from the Cityscapelabs. In 2017, aphid abundances were recorded for aphids on Asteraceae host plants, along with Asteraceae species cover and ant presence. Aphid species present on other type of plant hosts were also noted. In 2018, almost the same subset of quadrats were surveyed, noting only aphid presence on each host plant. This table contains the index of all tables forming this data collection.

    Related datasets are listed in the metadata element 'Related Identifier'. Dataset version 1.0

  9. N

    Median Household Income by Racial Categories in German Valley, IL (2021, in...

    • neilsberg.com
    csv, json
    Updated Jan 3, 2024
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    Neilsberg Research (2024). Median Household Income by Racial Categories in German Valley, IL (2021, in 2022 inflation-adjusted dollars) [Dataset]. https://www.neilsberg.com/research/datasets/35b9f8a1-8904-11ee-9302-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jan 3, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Illinois, German Valley
    Variables measured
    Median Household Income for Asian Population, Median Household Income for Black Population, Median Household Income for White Population, Median Household Income for Some other race Population, Median Household Income for Two or more races Population, Median Household Income for American Indian and Alaska Native Population, Median Household Income for Native Hawaiian and Other Pacific Islander Population
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. To portray the median household income within each racial category idetified by the US Census Bureau, we conducted an initial analysis and categorization of the data. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). It is important to note that the median household income estimates exclusively represent the identified racial categories and do not incorporate any ethnicity classifications. Households are categorized, and median incomes are reported based on the self-identified race of the head of the household. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the median household income across different racial categories in German Valley. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

    Key observations

    Based on our analysis of the distribution of German Valley population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 99.24% of the total residents in German Valley. Notably, the median household income for White households is $69,843. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $69,843.

    https://i.neilsberg.com/ch/german-valley-il-median-household-income-by-race.jpeg" alt="German Valley median household income diversity across racial categories">

    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 of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in German Valley.
    • Median household income: Median household income, adjusting for inflation, presented in 2022-inflation-adjusted dollars

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for German Valley median household income by race. You can refer the same here

  10. Diversity as a factor for success in the workplace in Germany 2021

    • statista.com
    Updated Jan 13, 2025
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    Statista (2025). Diversity as a factor for success in the workplace in Germany 2021 [Dataset]. https://www.statista.com/statistics/1406968/diversity-workplace-success-factor-germany/
    Explore at:
    Dataset updated
    Jan 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2020 - Jul 2021
    Area covered
    Germany
    Description

    Almost 66 percent of respondents in Germany thought that diversity in the workplace was a contributing success factor to the development of a corporate image. Around 65 percent of people thought that is increased employee motivation. Figures are based on a report by StepStone in 2021.

  11. p

    Trends in Diversity Score (1991-2023): Milwaukee German Immersion vs....

    • publicschoolreview.com
    Updated Oct 17, 2011
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    Public School Review (2011). Trends in Diversity Score (1991-2023): Milwaukee German Immersion vs. Wisconsin vs. Milwaukee School District [Dataset]. https://www.publicschoolreview.com/milwaukee-german-immersion-profile
    Explore at:
    Dataset updated
    Oct 17, 2011
    Dataset authored and provided by
    Public School Review
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Wisconsin, Milwaukee
    Description

    This dataset tracks annual diversity score from 1991 to 2023 for Milwaukee German Immersion vs. Wisconsin and Milwaukee School District

  12. p

    Trends in Diversity Score (1996-2023): German Valley Grade School vs....

    • publicschoolreview.com
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    Public School Review, Trends in Diversity Score (1996-2023): German Valley Grade School vs. Illinois vs. Forrestville Valley CUSD 221 School District [Dataset]. https://www.publicschoolreview.com/german-valley-grade-school-profile
    Explore at:
    Dataset authored and provided by
    Public School Review
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Forrestville Valley Community Unit School District 221, German Valley
    Description

    This dataset tracks annual diversity score from 1996 to 2023 for German Valley Grade School vs. Illinois and Forrestville Valley CUSD 221 School District

  13. N

    New Germany, MN annual income distribution by work experience and gender...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    + more versions
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    Neilsberg Research (2025). New Germany, MN annual income distribution by work experience and gender dataset: Number of individuals ages 15+ with income, 2023 // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/baba10eb-f4ce-11ef-8577-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 27, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    New Germany, Minnesota
    Variables measured
    Income for Male Population, Income for Female Population, Income for Male Population working full time, Income for Male Population working part time, Income for Female Population working full time, Income for Female Population working part time, Number of males working full time for a given income bracket, Number of males working part time for a given income bracket, Number of females working full time for a given income bracket, Number of females working part time for a given income bracket
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To portray the number of individuals for both the genders (Male and Female), within each income bracket we conducted an initial analysis and categorization of the American Community Survey data. Households are categorized, and median incomes are reported based on the self-identified gender of the head of the household. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within New Germany. The dataset can be utilized to gain insights into gender-based income distribution within the New Germany population, aiding in data analysis and decision-making..

    Key observations

    • Employment patterns: Within New Germany, among individuals aged 15 years and older with income, there were 230 men and 186 women in the workforce. Among them, 164 men were engaged in full-time, year-round employment, while 111 women were in full-time, year-round roles.
    • Annual income under $24,999: Of the male population working full-time, 4.88% fell within the income range of under $24,999, while 5.41% of the female population working full-time was represented in the same income bracket.
    • Annual income above $100,000: 16.46% of men in full-time roles earned incomes exceeding $100,000, while 4.50% of women in full-time positions earned within this income bracket.
    • Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)
    Content

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

    Income brackets:

    • $1 to $2,499 or loss
    • $2,500 to $4,999
    • $5,000 to $7,499
    • $7,500 to $9,999
    • $10,000 to $12,499
    • $12,500 to $14,999
    • $15,000 to $17,499
    • $17,500 to $19,999
    • $20,000 to $22,499
    • $22,500 to $24,999
    • $25,000 to $29,999
    • $30,000 to $34,999
    • $35,000 to $39,999
    • $40,000 to $44,999
    • $45,000 to $49,999
    • $50,000 to $54,999
    • $55,000 to $64,999
    • $65,000 to $74,999
    • $75,000 to $99,999
    • $100,000 or more

    Variables / Data Columns

    • Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
    • Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
    • Part-Time Males: The count of males employed part-time and earning within a specified income bracket
    • Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
    • Part-Time Females: The count of females employed part-time and earning within a specified income bracket

    Employment type classifications include:

    • Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
    • Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for New Germany median household income by race. You can refer the same here

  14. p

    Trends in Diversity Score (2007-2023): Twin Cities German Immersion Chrtr...

    • publicschoolreview.com
    Updated Nov 13, 2022
    + more versions
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    Public School Review (2022). Trends in Diversity Score (2007-2023): Twin Cities German Immersion Chrtr vs. Minnesota vs. Twin Cities German Immersion Chtr School District [Dataset]. https://www.publicschoolreview.com/twin-cities-german-immersion-chrtr-profile
    Explore at:
    Dataset updated
    Nov 13, 2022
    Dataset authored and provided by
    Public School Review
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Twin Cities
    Description

    This dataset tracks annual diversity score from 2007 to 2023 for Twin Cities German Immersion Chrtr vs. Minnesota and Twin Cities German Immersion Chtr School District

  15. Main measures in company diversity management Germany 2021

    • statista.com
    Updated Jan 13, 2025
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    Statista (2025). Main measures in company diversity management Germany 2021 [Dataset]. https://www.statista.com/statistics/1323528/company-diversity-management-main-measures-germany/
    Explore at:
    Dataset updated
    Jan 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    Germany
    Description

    In 2021, according to a survey among those responsible for diversity management in their company, the most important diversity management measure in Germany was to focus on flexible working hour models; 80 percent of respondents stated that this was an important issue. For over two thirds of respondents, restructuring recruiting processes was also a key priority for diversity in the workplace.

  16. c

    Cohesion in Diversity. Diversity Barometer 2019 of the Robert Bosch Stiftung...

    • datacatalogue.cessda.eu
    • da-ra.de
    Updated Mar 15, 2023
    + more versions
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    Arant, Regina; Dragolov, Georgi; Gernig, Björn; Boehnke, Klaus (2023). Cohesion in Diversity. Diversity Barometer 2019 of the Robert Bosch Stiftung [Dataset]. http://doi.org/10.4232/1.13759
    Explore at:
    Dataset updated
    Mar 15, 2023
    Dataset provided by
    Jacobs University Bremen
    Authors
    Arant, Regina; Dragolov, Georgi; Gernig, Björn; Boehnke, Klaus
    Time period covered
    May 3, 2018 - Jul 9, 2018
    Area covered
    Germany
    Measurement technique
    Telephone interview: Computer-assisted (CATI)
    Description

    The survey explored attitudes towards increasing diversity in German society and how individuals deal with it. The focus was on the importance of acceptance of diversity for social cohesion in the country. Acceptance of diversity was conceived as a multidimensional construct and recorded in terms of age, disability, sex, sexual orientation, socio-economic weakness, ethnic origin and religion. In addition, the personal and structural conditions for a high level of acceptance of diversity as well as the possibilities of promoting political and civil society influence on it were surveyed.

    The cross-sectional data was collected between the beginning of May and mid-July 2018 within the framework of a standardised CATI survey. For this purpose, a dual-frame telephone selection frame of landline and mobile numbers in the ratio 55:45 provided by ADM was used. In order to provide a meaningful representation of the less populous federal states, a disproportionate country stratification was applied, which can be balanced by weighting. The selection of the target persons for fixed-network connections was carried out according to the last-birthday method, whereas for mobile connections the main user of the device was interviewed. The resulting sample comprises 3,025 randomly reached German-speaking persons and is representative of the resident population of the Federal Republic of Germany aged 16 and over. The interviews lasted an average of 34 minutes. Data collection was carried out by infas - Institut für angewandte Sozialwissenschaft GmbH, Bonn.

    The survey provides data on attitudes to diversity and its dimensions, to elites and people with different lifestyles, to politics and globalisation; and to the acceptance of diversity in one´s own environment (neighbourhood and family). Also recorded were perceptions of social cohesion; subjective well-being; personality traits; the experience of respect and discrimination; and socio-demographic and socio-economic characteristics of the target persons.
    Awareness of the term diversity in relation to society; life satisfaction; assessment of the economic situation in Germany and of one´s own economic situation; threat vs. enrichment of life by increasing diversity; agreement with various statements (most of the people I deal with in everyday life treat me with respect, I don´t get on so well with people who are significantly older or significantly younger than me, I definitely wouldn´t want to live in a multi-generational household, if you´re old, you´re old and shouldn´t always pretend to be young); statements on compassion (e.g. I experience myself as compassionate and caring towards people who are less fortunate than I am, etc.); opinion on living together with people of different cultural backgrounds (I would rather not live with foreigners than with people from other countries, etc.); opinion on living together with people of different cultural backgrounds (would rather have nothing to do with foreigners, people who come to Germany should be supported in keeping their cultural roots, I always learn something new when I am together with people from other countries); agreement with various statements about religion (there should also be legal holidays for the festivals of other religions, Islam definitely fits into the Western world, religion is a private matter and religious manifestations and symbols such as crucifixes, headscarves or kippahs have no place in public); BIG 5; opinion on gender roles (I am against a women´s quota, women make too much fuss about the issue of sexual harassment, a man has to assert himself otherwise he is not a real man, many women feel very comfortable in the victim role); attitude towards sexual orientation (transsexual people should keep to themselves, homosexuals and their own children - it just doesn´t go together, changing gender is against nature, it is disgusting when homosexuals kiss in public); frequency of feeling discriminated against; opinion on people with disabilities (I find many demands of disabled people excessive, inclusion disadvantages normally developed children, the sight of disabled people bothers me); agreement with the statement: politics works more for the interests of elites than for the needy; opinion regarding the behaviour of elites (top managers, intellectuals and super-rich); opinion regarding poverty in Germany (good social net in Germany, nobody needs to be homeless, most Hartz IV recipients are work-shy, too much consideration in society for failures); opinion on people with different lifestyles (enrich my neighbourhood, people who always walk around in suits or costumes are suspicious to me, vegans are absolute weirdos); globalisation personally more as a threat or as an opportunity; feelings about increasing diversity (anxious, calm, comfortable, relaxed, strained, restless, worried, content); acceptance of diversity in one´s own environment (neighbourhood and family) (people who are much older or...

  17. Lexical diversity and sophistication in pupils with a Portuguese background...

    • figshare.com
    zip
    Updated Aug 3, 2017
    + more versions
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    Jan Vanhove; amelia.lambelet@unifr.ch; audrey.bonvin2@unifr.ch; raphael.berthele@unifr.ch (2017). Lexical diversity and sophistication in pupils with a Portuguese background in Switzerland: All data and code (ZIP) [Dataset]. http://doi.org/10.6084/m9.figshare.4578991.v4
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    zipAvailable download formats
    Dataset updated
    Aug 3, 2017
    Dataset provided by
    Figsharehttp://figshare.com/
    figshare
    Authors
    Jan Vanhove; amelia.lambelet@unifr.ch; audrey.bonvin2@unifr.ch; raphael.berthele@unifr.ch
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Switzerland
    Description

    All data and R code for "Die Entwicklung der lexikalischen Diversität und Elaboriertheit bei SchülerInnen mit portugiesischem Migrationshintergrund in der Schweiz" (Bonvin, Vanhove, Berthele & Lambelet) as a zipped directory.

  18. Data from: Molecular diversity of Germany's freshwater fishes and lampreys...

    • zenodo.org
    bin
    Updated May 28, 2022
    + more versions
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    Thomas Knebelsberger; Andreas R. Dunz; Dirk Neumann; Matthias F. Geiger; Thomas Knebelsberger; Andreas R. Dunz; Dirk Neumann; Matthias F. Geiger (2022). Data from: Molecular diversity of Germany's freshwater fishes and lampreys assessed by DNA barcoding [Dataset]. http://doi.org/10.5061/dryad.8s21m
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    binAvailable download formats
    Dataset updated
    May 28, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Thomas Knebelsberger; Andreas R. Dunz; Dirk Neumann; Matthias F. Geiger; Thomas Knebelsberger; Andreas R. Dunz; Dirk Neumann; Matthias F. Geiger
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Germany
    Description

    This study represents the first comprehensive molecular assessment of freshwater fishes and lampreys from Germany. We analysed COI sequences for almost 80% of the species mentioned in the current German Red List. In total, 1056 DNA barcodes belonging to 92 species from all major drainages were used to (i) build a reliable DNA barcode reference library, (ii) test for phylogeographic patterns, (iii) check for the presence of barcode gaps between species and (iv) evaluate the performance of the barcode index number (BIN) system, available on the Barcode of Life Data Systems. For over 78% of all analysed species, DNA barcodes are a reliable means for identification, indicated by the presence of barcode gaps. An overlap between intra- and interspecific genetic distances was present in 19 species, six of which belong to the genus Coregonus. The Neighbour-Joining phenogram showed 60 nonoverlapping species clusters and three singleton species, which were related to 63 separate BIN numbers. Furthermore, Barbatula barbatula, Leucaspius delineatus, Phoxinus phoxinus and Squalius cephalus exhibited remarkable levels of cryptic diversity. In contrast, 11 clusters showed haplotype sharing, or low levels of divergence between species, hindering reliable identification. The analysis of our barcode library together with public data resulted in 89 BINs, of which 56% showed taxonomic conflicts. Most of these conflicts were caused by the use of synonymies, inadequate taxonomy or misidentifications. Moreover, our study increased the number of potential alien species in Germany from 14 to 21 and is therefore a valuable groundwork for further faunistic investigations.

  19. p

    Trends in Diversity Score (1991-2023): Fairview-clifton German Language...

    • publicschoolreview.com
    Updated Dec 21, 2013
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    Public School Review (2013). Trends in Diversity Score (1991-2023): Fairview-clifton German Language School vs. Ohio vs. Cincinnati School District [Dataset]. https://www.publicschoolreview.com/fairview-clifton-german-language-school-profile
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    Dataset updated
    Dec 21, 2013
    Dataset authored and provided by
    Public School Review
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Cincinnati, Ohio
    Description

    This dataset tracks annual diversity score from 1991 to 2023 for Fairview-clifton German Language School vs. Ohio and Cincinnati School District

  20. Bacterial diversity and community composition in grassland and forest soils...

    • gbif.org
    Updated Sep 21, 2022
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    MGnify (2022). Bacterial diversity and community composition in grassland and forest soils of the German Biodiversity Exploratories [Dataset]. http://doi.org/10.15468/ne5wcp
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    Dataset updated
    Sep 21, 2022
    Dataset provided by
    Global Biodiversity Information Facilityhttps://www.gbif.org/
    MGnify
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Bacterial diversity and community composition should be assessed for grassland and forest soils in the three German Biodiversity Exploratories (Schorfheide-Chorin, Hainich-Dun, Schwabische Alb). Grassland soil samples were derived from meadows, pastures or mown pastures that were either fertilized or non-fertilized. Forest soil samples were derived from age class forest, selection forest or natural forest and dominated by either beech, oak, pine or spruce trees.The study focused on the effect of land use, management, fertilization and tree species as well as edaphic parameters onto the bacterial community and diversity to identify drivers of diversity and community composition.

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Statista Research Department (2025). Germans and foreign nationals in different professions in Germany 2024 [Dataset]. https://www.statista.com/topics/11460/diversity-in-the-workplace-in-germany/
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Germans and foreign nationals in different professions in Germany 2024

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Dataset updated
Jan 13, 2025
Dataset provided by
Statistahttp://statista.com/
Authors
Statista Research Department
Area covered
Germany
Description

In 2024, the German workforce was made up of around 84 percent Germans and 16 percent foreign nationals. In the field of advertising and marketing, around 90 percent of employees were German and 9.6 percent were not.

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