8 datasets found
  1. M

    Mannheim, Germany Metro Area Population 1950-2025

    • macrotrends.net
    csv
    Updated Apr 30, 2025
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    MACROTRENDS (2025). Mannheim, Germany Metro Area Population 1950-2025 [Dataset]. https://www.macrotrends.net/global-metrics/cities/204367/mannheim/population
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    csvAvailable download formats
    Dataset updated
    Apr 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    Dec 1, 1950 - May 9, 2025
    Area covered
    Germany
    Description

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

  2. c

    Leadership in the Federal Republic of Germany (Population Survey for the...

    • datacatalogue.cessda.eu
    • search.gesis.org
    • +1more
    Updated Mar 14, 2023
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    Kaase, Max; Wildenmann, Rudolf (2023). Leadership in the Federal Republic of Germany (Population Survey for the Mannheim Elite Study 1981) [Dataset]. http://doi.org/10.4232/1.1231
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    Dataset updated
    Mar 14, 2023
    Dataset provided by
    Lehrstuhl für politische Wissenschaft, Universität Mannheim
    Lehrstuhl für politische Wissenschaft und international vergleichende Sozialforschung, Universität Mannheim
    Authors
    Kaase, Max; Wildenmann, Rudolf
    Area covered
    Germany
    Measurement technique
    Oral survey with standardized questionnaire
    Description

    The attitude of the German population to current political questions as well as to fundamental problems of democracy and its ability to function.

    Topics: most important problems of the FRG; judgement on the importance of political goals; attitude to selected topics of domestic and foreign policy, such as e.g. the comprehensive school, ecology and competitive ability, foreign aid, EC sovereignty, government supervision of primary industry and banks, reduction of social services, ban on employment of radicals as teachers and civil servants, co-determination and private radio stations; judgement on policies to reduce tension and Soviet foreign policy; attitude to nuclear energy; political interest; party preference; sympathy scale for the CDU/CSU, SPD, FDP and the Greens; self-assessment on a left-right continuum; preferred government coalition.

    Scales: understanding of democracy; dogmatism; postmaterialism.

    Demography: age; sex; marital status; religious denomination; frequency of church attendance; occupation; employment; income; household income; household size; household composition; respondent is head of household; characteristics of head of household; person managing household.

    Also encoded was: weekday of interview; size of municipality class, politically and after Boustedt; administrative districts.

  3. d

    Leadership in the Federal Republic of Germany (Population Survey for the...

    • da-ra.de
    Updated 1983
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    Max Kaase; Rudolf Wildenmann (1983). Leadership in the Federal Republic of Germany (Population Survey for the Mannheim Elite Study 1981) [Dataset]. http://doi.org/10.4232/1.1231
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    Dataset updated
    1983
    Dataset provided by
    GESIS Data Archive
    da|ra
    Authors
    Max Kaase; Rudolf Wildenmann
    Time period covered
    1982
    Area covered
    Mannheim, Germany
    Description

    Sampling Procedure Comment: Multi-stage stratified random sample

  4. c

    Concepts of Existence of the West German Population

    • datacatalogue.cessda.eu
    • da-ra.de
    Updated Mar 14, 2023
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    Bargel, Tino; Framheim, Gerhild; Peisert, Hansgert; Sandberger, Johann-Ulrich; ZUMA (2023). Concepts of Existence of the West German Population [Dataset]. http://doi.org/10.4232/1.1096
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    Dataset updated
    Mar 14, 2023
    Dataset provided by
    Mannheim
    Zentrum I Bildungsforschung, Universität Konstanz
    Authors
    Bargel, Tino; Framheim, Gerhild; Peisert, Hansgert; Sandberger, Johann-Ulrich; ZUMA
    Time period covered
    Jan 1976 - Feb 1976
    Area covered
    Germany
    Measurement technique
    Oral survey with standardized questionnaire
    Description

    Attitudes and moral concepts of the German population in the public, occupational and private area. Questions on socialization.

    Topics: importance of areas of life and educational goals; interest in university activities and college studies; attitude to academics and image of academics (scales); comparison of academics and non-academics; self-image (scale); satisfaction with personal education and occupational training (scale); attitude to work and work satisfaction; most important aspects of work; perceived work demands; work during leisure time; actual and ideal criteria of upward social mobility; perceived change of prospects of promotion in the FRG; identification of privileged population groups; perception of group differences as well as of social classes; class model; attitude to social differences (scale) as well as judgement on the level and development of inequality in the FRG; self-assessment of social class on a scale and satisfaction with personal social position; self-assessment of personal social standing based on income, occupation as well as influence in society; image of society and achievement orientation (scale); understanding of sex roles as well as assessment of the suitability of men and women for certain occupations; political interest and political participation (scale); importance of political goals; satisfaction with income.

    Demography: age; marital status; religious denomination; school education; further education; occupational position; company size; sources of income; respondent is head of household; residential status; membership in a union, party or an organization; party preference.

    Interviewer rating: type of building; residence and business building; type of city; presence of other persons and their intervention in interview; willingness to cooperate and reliability of respondent; length of interview; number and time of contact attempts; city size; district code.

  5. g

    German Internet Panel, Welle 67 - Core Study (September 2023)

    • search.gesis.org
    • datacatalogue.cessda.eu
    Updated Jul 26, 2024
    + more versions
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    German Internet Panel, Universität Mannheim (2024). German Internet Panel, Welle 67 - Core Study (September 2023) [Dataset]. http://doi.org/10.4232/1.14371
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    (65025), (72162)Available download formats
    Dataset updated
    Jul 26, 2024
    Dataset provided by
    GESIS search
    GESIS
    Authors
    German Internet Panel, Universität Mannheim
    License

    https://www.gesis.org/en/institute/data-usage-termshttps://www.gesis.org/en/institute/data-usage-terms

    Time period covered
    Sep 1, 2023 - Sep 30, 2023
    Area covered
    Germany
    Description

    The German Internet Panel (GIP) is a long-term study at the University of Mannheim. The GIP examines individual attitudes and preferences that are relevant in political and economic decision-making processes. To this end, more than 3,500 people throughout Germany have been regularly surveyed online every two months since 2012 on a wide range of topics. The GIP is based on a random sample of the general population in Germany between the ages of 16 and 75. The study started in 2012 and was supplemented by new participants in 2014 and 2018. The panel participants were recruited offline. The GIP questionnaires cover a variety of topics that deal with current events.

  6. c

    German Election Study, 1980

    • archive.ciser.cornell.edu
    Updated Jan 1, 2020
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    Forschungsgruppe Wahlen (Mannheim, Germany) (2020). German Election Study, 1980 [Dataset]. http://doi.org/10.6077/gyxq-fr56
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    Dataset updated
    Jan 1, 2020
    Dataset authored and provided by
    Forschungsgruppe Wahlen (Mannheim, Germany)
    Area covered
    Germany
    Variables measured
    Individual
    Description

    This study consists of a data pool of ten separate "Politbarometer" surveys that were conducted monthly by MARPLAN and organized by the Forschungsgruppe Wahlen (Mannheim) as project leaders. The dataset integrates the separate surveys by coding the same question from each of the surveys under one variable. To also assure the continuity of this 1980 study with the German Electoral Data (GED) Project series, the studies for June, September and October were expanded to include questions relevant to the series, especially in eliciting information on party preference, the evaluation of leading politicians, and opinions about important political and social issues. Of particular note is the measurement of attitudes toward the political parties: several different measures were used to tap the various dimensions of party preference. Respondents were asked to separately evaluate each party and leading politicians, including the candidates for the position of Chancellor, Helmut Kohl and Helmut Schmidt, and to place the political parties on several versions of the left-right ideological dimension. Another component of the election study dealt with the respondents' opinions toward important problems, including the salience of economic issues for the German population. Open-ended questions were asked concerning the respondents' views of the economic situation, the election campaigns, a new political party, the German democratic process, improved relations between East and West Germany, relations between Germany and the United States, and the reunification of Germany. Respondents were also asked about the most important tasks facing Germany and the party that could best deal with these tasks, the reasons for the electoral outcome for each party, and respondents' political participation and voting decisions during the election campaign. Also probed were respondents' views of their financial situation, the efficacy of old-age pensions, nuclear power plants, church and politics, and labor unions, and their feelings about Germany's participation in the Olympic Games, the Soviet invasion of Afghanistan and the potential for a superpower war, the Iran hostage crisis, and the proposed economic boycott against Iran. Additional items queried respondents about their general political activities and voting behavior and intentions. Also explored were respondents' views of divorce, tolerance of opposing views, leisure time activities, and experience of stress situations. Demographic items specify age, sex, education, marital status, occupation, military status, income, union membership, political party affiliation, and religious preference. See also the related collection, GERMAN ELECTION PANEL STUDY, 1976 (ICPSR 7513). (Source: downloaded from ICPSR 7/13/10)

  7. g

    GESIS Panel - Extended Edition

    • search.gesis.org
    • datacatalogue.cessda.eu
    • +1more
    Updated Apr 8, 2025
    + more versions
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    GESIS Panel Team (2025). GESIS Panel - Extended Edition [Dataset]. http://doi.org/10.4232/1.14490
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    (141144)Available download formats
    Dataset updated
    Apr 8, 2025
    Dataset provided by
    GESIS search
    GESIS
    Authors
    GESIS Panel Team
    License

    https://www.gesis.org/en/institute/data-usage-termshttps://www.gesis.org/en/institute/data-usage-terms

    Time period covered
    May 2, 2013 - Jul 16, 2024
    Description

    The GESIS Panel provides a probability-based mixed-mode access panel infrastructure located at GESIS Leibniz Institute for the Social Sciences in Mannheim, Germany. The project offers the social science community an opportunity to collect survey data from a representative sample of the German population. Submitted study proposals are evaluated based on a scientific review process.

    Panel members were initially recruited in 2013 in face-to-face interviews followed by a self-administered profile survey. The mode was chosen by the participants. All participants of the profile survey are considered as members of the panel and invited to the bi-monthly regular waves. The starting cohort encompassed 4900 panelists at the beginning of 2014.

    In order to compensate for panel attrition, a refreshment sample was drawn in 2016, using the General Social Survey (ALLBUS) interview as vehicle. The initial cohort encompasses German speaking respondents aged between 18 and 70 years (at the time of recruitment) and permanently residing in Germany, whereas the second cohort includes respondents from the age of 18 without upper restriction.

    In 2018 a third recruitment sample was drawn, which was integrated with the wave ge. The third cohort also includes respondents aged 18 and over without an upper limit. Retroactively, cases up to and including wave fc (third wave from 2018) were added to the data. The Data Manual (ZA5664-65_sd_data-manual) has been reissued and there is a corresponding recruitment report (ZA5664-65_mb_recruitment2018).

    The ALLBUS Sample is based on a disproportional sampling of respondents from the western and eastern part of Germany. A design weight that enables integration of the two recruitment cohorts is included into the dataset. For more details, please see the methods reports of the recruitment processes and die GESIS Panel reference paper (Bosnjak et al., 2017).

    In March 2020, a special GESIS panel survey was conducted on the SARS-CoV-2 resp. COVID-19 coronavirus outbreak in Germany.

    In 2021, the fourth recruitment sample was drawn using the German International Social Survey Programme (ISSP), which was integrated with wave ja. The fourth cohort also includes respondents aged 18 and older with no upper limit. For more information, see the corresponding recruitment report (ZA5664-65_r_i12.pdf).

    In 2023, the fifth recruitment sample was drawn using the German European Social Survey (ESS Round 11), which was integrated with the wave la. The fifth cohort includes respondents aged 18 and over with no upper limit. For more information, see the corresponding recruitment report (ZA5664-65_r_k12.pdf).

    GESIS Panel Demographic Dataset Starting with version 43-0-0 the longitudinal demographic dataset became part of the dissemination package. The dataset is a longitudinal dataset (long format), with harmonized measurements on demographic variables: Respondent ID; timepoint of survey; corresponding wave; survey year; recruitment cohort; sex of respondent; year of birth; month of birth; highest level of education; personal net income; household net income; marital status; AAPOR disposition code; mode of invitation; mode of participation.

  8. g

    German Internet Panel, Rekrutierung 2018

    • search.gesis.org
    Updated Dec 15, 2022
    + more versions
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    Blom, Annelies G.; Gonzalez Ocanto, Marisabel; Krieger, Ulrich; Rettig, Tobias; Ungefucht, Marina; SFB 884 ´Political Economy of Reforms´, Universität Mannheim (2022). German Internet Panel, Rekrutierung 2018 [Dataset]. http://doi.org/10.4232/1.14052
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    Dataset updated
    Dec 15, 2022
    Dataset provided by
    GESIS search
    GESIS
    Authors
    Blom, Annelies G.; Gonzalez Ocanto, Marisabel; Krieger, Ulrich; Rettig, Tobias; Ungefucht, Marina; SFB 884 ´Political Economy of Reforms´, Universität Mannheim
    License

    https://www.gesis.org/en/institute/data-usage-termshttps://www.gesis.org/en/institute/data-usage-terms

    Time period covered
    Sep 15, 2018 - Feb 27, 2019
    Area covered
    Germany
    Description

    The German Internet Panel (GIP) is a longitudinal panel survey of the Collaborative Research Center SFB 884 “Political Economy of Reforms” based on a random probability sample of the general population in Germany aged 16 to 75. The study started in 2012. As an infrastructure project of the SFB 884, the GIP collects data on individual attitudes and preferences relevant in political and economic decision-making processes. The data obtained provide the empirical basis for the scientific research of the SFB projects. All GIP survey data are made available to the scientific community as scientific use files. The topics covered in the GIP are divers and include attitudes towards reform policies, the welfare state, German and EU politics, health, social inequality, education, employment and key socio-demographic information. Questionnaire modules on these topics are developed by SFB 884 researchers in collaboration with the GIP team. GIP online questionnaires of 20-25 minutes are implemented bi-monthly. The present dataset comprises the 2018 recruiting survey. The second panel refreshment sample (i.e., the third recruitment survey) was recruited via postal mail with a two-stage probability sample drawn from local community population registers. In contrast to the previous GIP recruitment surveys, the second refreshment was a sample of persons. At the first stage, a random probability sample of 180 municipalities was drawn from all municipalities in Germany. The list of municipalities was stratified in advance according to federal state and population density. At the second stage, all the municipalities were contacted and asked to draw a random probability sample of persons aged 16–75 from their local population registers. The number of persons drawn per municipality was proportionate to the total number of persons registered in the municipality as their primary home. A total of 50,214 persons were drawn, from which the head office randomly sub-selected 13,050 persons for the GIP gross sample. Subsequently, all persons randomly selected in this way were invited to the online panel by postal mail. Six different procedures were tested experimentally. These procedures are called “paper-first”, “concurrent”, “push-to-web”, “online-only”, “early-bird-incentive 20” and “early-bird-incentive 50”. At the end of the survey, the participants were asked whether they could be invited to the second part of the survey (online only) by e-mail or SMS. The central purpose of the second part was to obtain panel participation consent. In 2018, the recruitment process yielded approx. 3,000 registered online panelists with a cumulative AAPOR response rate of 24.1%.

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MACROTRENDS (2025). Mannheim, Germany Metro Area Population 1950-2025 [Dataset]. https://www.macrotrends.net/global-metrics/cities/204367/mannheim/population

Mannheim, Germany Metro Area Population 1950-2025

Mannheim, Germany Metro Area Population 1950-2025

Explore at:
csvAvailable download formats
Dataset updated
Apr 30, 2025
Dataset authored and provided by
MACROTRENDS
License

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

Time period covered
Dec 1, 1950 - May 9, 2025
Area covered
Germany
Description

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

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