20 datasets found
  1. Largest Mosques

    • kaggle.com
    zip
    Updated Apr 6, 2024
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    Saquib Hussain (2024). Largest Mosques [Dataset]. https://www.kaggle.com/datasets/saquib7hussain/largest-mosques
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    zip(0 bytes)Available download formats
    Dataset updated
    Apr 6, 2024
    Authors
    Saquib Hussain
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    All mosques from around the world by available capacity, that belong to any Islamic school or branch, that can accommodate at least 15,000 worshippers in all available places of prayer such as prayer halls (musala), courtyards (ṣaḥn) and porticoes (riwāq). All the mosques in this list are congregational mosques – a type of mosque that hosts the Friday prayer (ṣalāt al-jumuʿa) in congregation (jamāʿa).

  2. U.S. Religion Census - Religious Congregations and Membership Study, 2020...

    • thearda.com
    Updated 2020
    + more versions
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    The Association of Religion Data Archives (2020). U.S. Religion Census - Religious Congregations and Membership Study, 2020 (Metro Area File) [Dataset]. http://doi.org/10.17605/OSF.IO/2K8VY
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    Dataset updated
    2020
    Dataset provided by
    Association of Religion Data Archives
    Dataset funded by
    United Church of Christ
    The Lilly Endowment, Inc.
    Lutheran Church-Missouri Synod
    Southern Baptist Convention
    The Church of the Nazarene
    Glenmary Research Center
    The John Templeton Foundation
    Description

    This study, designed and carried out by the "http://www.asarb.org/" Target="_blank">Association of Statisticians of American Religious Bodies (ASARB), compiled data on 372 religious bodies by county in the United States. Of these, the ASARB was able to gather data on congregations and adherents for 217 religious bodies and on congregations only for 155. Participating bodies included 354 Christian denominations, associations, or communions (including Latter-day Saints, Messianic Jews, and Unitarian/Universalist groups); counts of Jain, Shinto, Sikh, Tao, Zoroastrian, American Ethical Union, and National Spiritualist Association congregations, and counts of congregations and adherents from Baha'i, three Buddhist groupings, two Hindu groupings, and four Jewish groupings, and Muslims. The 372 groups reported a total of 356,642 congregations with 161,224,088 adherents, comprising 48.6 percent of the total U.S. population of 331,449,281. Membership totals were estimated for some religious groups.

    In January 2024, the ARDA added 21 religious tradition (RELTRAD) variables to this dataset. These variables start at variable #8 (TOTCNG_2020). Categories were assigned based on pages 88-94 in the original "https://www.usreligioncensus.org/index.php/node/1638" Target="_blank">2020 U.S. Religion Census Report.

    Visit the "https://www.thearda.com/us-religion/sources-for-religious-congregations-membership-data" Target="_blank">frequently asked questions page for more information about the ARDA's religious congregation and membership data sources.

  3. Gallup Religion Battery

    • redivis.com
    application/jsonl +7
    Updated Apr 8, 2025
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    Stanford University Libraries (2025). Gallup Religion Battery [Dataset]. http://doi.org/10.57761/15zm-fb79
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    application/jsonl, parquet, arrow, sas, stata, spss, csv, avroAvailable download formats
    Dataset updated
    Apr 8, 2025
    Dataset provided by
    Redivis Inc.
    Authors
    Stanford University Libraries
    Description

    Abstract

    The Religion Battery is a consolidated list of items focused on religion in the United States. The dataset includes responses from 1999-2024.

    Methodology

    The Religion Battery leverages the same methodology as the Gallup Poll Social Series (GPSS).

    Gallup interviews a minimum of 1,000 U.S. adults aged 18 and older living in all 50 states and the District of Columbia using a dual-frame design, which includes both landline and cellphone numbers. Gallup samples landline and cellphone numbers using random-digit-dial methods. Gallup purchases samples for this study from Survey Sampling International (SSI). Gallup chooses landline respondents at random within each household based on which member had the next birthday. Each sample of national adults includes a minimum quota of 70% cellphone respondents and 30% landline respondents, with additional minimum quotas by time zone within region. Gallup conducts interviews in Spanish for respondents who are primarily Spanish-speaking.

    Gallup weights samples to correct for unequal selection probability, nonresponse, and double coverage of landline and cellphone users in the two sampling frames. Gallup also weights its final samples to match the U.S. population according to gender, age, race, Hispanic ethnicity, education, region, population density, and phone status (cellphone only, landline only, both, and cellphone mostly).

    Demographic weighting targets are based on the most recent Current Population Survey figures for the aged 18 and older U.S. population. Phone status targets are based on the most recent National Health Interview Survey. Population density targets are based on the most recent U.S. Census.

    Usage

    Previous versions of the Religion Battery have more rows and columns than the current version (v. 3.0). This is because the previous data releases contained fields unrelated to religion. The current release was cleaned/streamlined to reflect the topic of interest and isolate the surveys related to that topic.

    For more information about included variables, please see

    Supporting Files.

    Bulk Data Access

    Data access is required to view this section.

  4. Devanagari Character Dataset Large

    • kaggle.com
    Updated Jun 23, 2017
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    Ashok Kumar Pant (2017). Devanagari Character Dataset Large [Dataset]. https://www.kaggle.com/datasets/ashokpant/devanagari-character-dataset-large/suggestions?status=pending
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 23, 2017
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Ashok Kumar Pant
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    Context

    This dataset is created for the deep learning based Devanagari character recognition research evaluation, 2015.

    Content

    The dataset contains mixed categories for Devanagari numerals (10 classes) and consonants (36 classes). Dataset is explicitly separated into train and test set. Train set contains total 78,200 samples with 1700 samples per class for total 46 classes and test set contains total 13,800 samples with 300 samples per class for total 46 classes. Dataset is collected from the school level students.

    This dataset is collected and maintained by the following research members,

    1. Shailesh Acharya
    2. Ashok Kumar Pant
    3. Prashnna Kumar Gyawali

    Citation

    Please cite in your publications if it helps your research:

    @inproceedings{ashok2015deep, 
      author={S. Acharya and A. K. Pant and P. K. Gyawali}, 
      booktitle={2015 9th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)}, 
      title={Deep learning based large scale handwritten Devanagari character recognition}, 
      year={2015}, 
      pages={1-6},
      month={Dec}
     }
    
  5. Number of religious hate crimes U.S. 2023, by religion

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Number of religious hate crimes U.S. 2023, by religion [Dataset]. https://www.statista.com/statistics/737660/number-of-religious-hate-crimes-in-the-us-by-religion/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    Anti-Jewish attacks were the most common form of anti-religious group hate crimes in the United States in 2023, with ***** cases. Anti-Islamic hate crimes were the second most common anti-religious hate crimes in that year, with *** incidents.

  6. e

    Bradford Council populations

    • data.europa.eu
    • cloud.csiss.gmu.edu
    html, pdf
    Updated Sep 25, 2021
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    City of Bradford Metropolitan District Council (2021). Bradford Council populations [Dataset]. https://data.europa.eu/data/datasets/bradford-council-populations
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    pdf, htmlAvailable download formats
    Dataset updated
    Sep 25, 2021
    Dataset authored and provided by
    City of Bradford Metropolitan District Council
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    Bradford
    Description

    The latest population figures produced by the Office for National Statistics (ONS) on 28 June 2018 show that an estimated 534,800 people live in Bradford District – an increase of 2,300 people (0.4%) since the previous year.

    Bradford District is the fifth largest metropolitan district (in terms of population) in England, after Birmingham, Leeds, Sheffield and Manchester although the District’s population growth is lower than other major cities.

    The increase in the District’s population is largely due to “natural change”- there have been around 3,300 more births than deaths, although this has been balanced by a larger number of people leaving Bradford to live in other parts of the UK than coming to live here and a lower number of international migrants. In 2016/17 the net internal migration was -2,700 and the net international migration was 1,700.

    A large proportion of Bradford’s population is dominated by the younger age groups. More than one-quarter (29%) of the District’s population is aged less than 20 and nearly seven in ten people are aged less than 50. Bradford has the highest percentage of the under 16 population in England after the London Borough of Barking and Dagenham, Slough Borough Council and Luton Borough Council.

    The population of Bradford is ethnically diverse. The largest proportion of the district’s population (63.9%) identifies themselves as White British. The district has the largest proportion of people of Pakistani ethnic origin (20.3%) in England.

    The largest religious group in Bradford is Christian (45.9% of the population). Nearly one quarter of the population (24.7%) are Muslim. Just over one fifth of the district’s population (20.7%) stated that they had no religion.

    There are 216,813 households in the Bradford district. Most households own their own home (29.3% outright and 35.7% with a mortgage). The percentage of privately rented households is 18.1%. 29.6% of households were single person households.

    Information from the Annual Population Survey in December 2017 found that Bradford has 228,100 people aged 16-64 in employment. At 68% this is significantly lower than the national rate (74.9%). 91,100 (around 1 in 3 people) aged 16-64, are not in work. The claimant count rate is 2.9% which is higher than the regional and national averages.

    Skill levels are improving with 26.5% of 16 to 74 year olds educated to degree level. 18% of the district’s employed residents work in retail/wholesale. The percentage of people working in manufacturing has continued to decrease from 13.4% in 2009 to 11.9% in 2016. This is still higher than the average for Great Britain (8.1%).

  7. c

    European Values Study 2017: Integrated Dataset (EVS 2017)

    • datacatalogue.cessda.eu
    • search.gesis.org
    • +1more
    Updated Mar 15, 2023
    + more versions
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    Gedeshi, Ilir; Pachulia, Merab; Poghosyan, Gevorg; Rotman, David; Kritzinger, Sylvia; Fotev, Georgy; Kolenović-Đapo, Jadranka; Baloban, Josip; Baloban, Stjepan; Rabušic, Ladislav; Frederiksen, Morten; Saar, Erki; Ketola, Kimmo; Wolf, Christof; Pachulia, Merab; Bréchon, Pierre; Voas, David; Rosta, Gergely; Jónsdóttir, Guðbjörg A.; Rovati, Giancarlo; Ziliukaite, Ruta; Petkovska, Antoanela; Komar, Olivera; Reeskens, Tim; Jenssen, Anders T.; Soboleva, Natalia; Marody, Mirosława; Voicu, Bogdan; Strapcová, Katarina; Bešić, Miloš; Uhan, Samo; Silvestre Cabrera, María; Wallman-Lundåsen, Susanne; Ernst Stähli, Michèle; Ramos, Alice; Balakireva, Olga; Mieriņa, Inta (2023). European Values Study 2017: Integrated Dataset (EVS 2017) [Dataset]. http://doi.org/10.4232/1.13897
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    Dataset updated
    Mar 15, 2023
    Dataset provided by
    Institute Economy and Prognoses, National Academy of Ukraine, Department of Monitoring Research of the Social and Economic Process, Kiev, Ukraine
    Institute of Sociology, University of Warsaw, Warsaw, Poland
    Department of Social Sciences, Mid Sweden University, Sundsvall, Sweden
    Department of Sociology, Tilburg University, Tilburg, Netherlands
    Faculty of Political Sciences, University of Belgrade, Serbia
    Catholic Faculty of Theology, University of Zagreb, Zagreb, Croatia
    Statistics Denmark, Copenhagen, Denmark
    University of Latvia, Riga, Latvia
    Department of Social Science, University College London, Great Britain
    Faculty for Social Wellbeing, New Bulgarian University, Sofia, Bulgaria
    Faculty of Social Sciences, Public Opinion and Mass Communication Research, University of Ljubljana, Ljubljana, Slovenia
    GORBI (Georgian Opinion Research Business International), Tbilisi, Georgia
    Social Science Research Institute, University of Iceland, Reykjavik, Iceland
    Center for Economic and Social Studies (CESS), Tirana, Albania
    Department of Sociology, Ss. Cyril and Methodius University, Skopje, North Macedonia
    Department of Sociology, Pázmány Péter Catholic University, Budapest, Hungary
    SORGU, Baku, Azerbaijan
    Department of Sociology and Political Science, Norwegian University of Science and Technology, Norway
    Department of Government, University of Vienna, Vienna, Austria
    Institute of Philosophy, Sociology and Law, Armenian National Academy of Sciences, Yerevan, Armenia
    Institute for Sociology, Slovak Academy of Sciences, Bratislava, Slovak Republic
    Catholic Faculty of Theology, University of Zagreb, Zagreb, Croatia (since September 2019)
    Faculty of Social Studies, Masaryk University, Brno, Czech Republic
    FORS, Swiss Foundation for Research in Social Sciences, Université de Lausanne, Lausanne, Switzerland
    De Facto Consultancy, Podgorica, Montenegro
    Faculty of Political Sciences and Sociology, Deusto University, Bilbao, Spain
    Laboratory for Comparative Social Research, Higher School of Economics, Moscow, Russia
    Institut d’études politiques de Grenoble, Grenoble, France
    Instituto de Ciências Sociais, Universidade de Lisboa, Portugal
    Faculty of Philosophy, University of Sarajevo, Bosnia and Herzegovina
    Kirkon tutkimuskeskus, Tampere, Finland
    Department of Sociology, Catholic University of the Sacred Heart, Milan, Italy
    Research institute for Quality of Life, Romanian Academy of Science, Bucharest, Romania
    Department of Sociology, Vilnius University, Lithuania
    Department of Social Sciences, GESIS - Leibniz Institute for the Social Sciences, Mannheim, Germany
    Saar Poll, Tallinn, Estonia
    The Center of Sociological and Political Research, Belarus State University, Minsk, Belarus
    Authors
    Gedeshi, Ilir; Pachulia, Merab; Poghosyan, Gevorg; Rotman, David; Kritzinger, Sylvia; Fotev, Georgy; Kolenović-Đapo, Jadranka; Baloban, Josip; Baloban, Stjepan; Rabušic, Ladislav; Frederiksen, Morten; Saar, Erki; Ketola, Kimmo; Wolf, Christof; Pachulia, Merab; Bréchon, Pierre; Voas, David; Rosta, Gergely; Jónsdóttir, Guðbjörg A.; Rovati, Giancarlo; Ziliukaite, Ruta; Petkovska, Antoanela; Komar, Olivera; Reeskens, Tim; Jenssen, Anders T.; Soboleva, Natalia; Marody, Mirosława; Voicu, Bogdan; Strapcová, Katarina; Bešić, Miloš; Uhan, Samo; Silvestre Cabrera, María; Wallman-Lundåsen, Susanne; Ernst Stähli, Michèle; Ramos, Alice; Balakireva, Olga; Mieriņa, Inta
    Time period covered
    Jun 19, 2017 - Oct 1, 2021
    Area covered
    Sweden, Belarus, Austria, Slovakia, Serbia, North Macedonia, Finland, France, Georgia, Latvia
    Measurement technique
    Face-to-face interview: Computer-assisted (CAPI/CAMI), Face-to-face interview: Paper-and-pencil (PAPI), Telephone interview: Computer-assisted (CATI), Self-administered questionnaire: Web-based (CAWI), Self-administered questionnaire: Paper, Mode of collection: mixed modeFace-to-face interview: CAPI (Computer Assisted Personal Interview)Face-to-face interview: PAPI (Paper and Pencil Interview)Telephone interview: CATI (Computer Assisted Telephone Interview) Self-administered questionnaire: CAWI (Computer-Assisted Web Interview)Self-administered questionnaire: PaperIn all countries, fieldwork was conducted on the basis of detailed and uniform instructions prepared by the EVS advisory groups. The main mode in EVS 2017 is face to face (interviewer-administered). An alternative self-administered form was possible but as a parallel mixed mode, i.e. there was no choice for the respondent between modes: either s/he was assigned to face to face, either s/he was assigned to web or web/mail format. In all countries included in the first pre-release, the EVS questionnaire was administered as face-to-face interview (CAPI or/and PAPI).The EVS 2017 Master Questionnaire was provided in English and each national Programme Director had to ensure that the questionnaire was translated into all the languages spoken by 5% or more of the population in the country. A central team monitored the translation process by means of the Translation Management Tool (TMT), developed by CentERdata (Tilburg).
    Description

    The European Values Study is a large-scale, cross-national and longitudinal survey research program on how Europeans think about family, work, religion, politics, and society. Repeated every nine years in an increasing number of countries, the survey provides insights into the ideas, beliefs, preferences, attitudes, values, and opinions of citizens all over Europe.

    As previous waves conducted in 1981, 1990, 1999, 2008, the fifth EVS wave maintains a persistent focus on a broad range of values. Questions are highly comparable across waves and regions, making EVS suitable for research aimed at studying trends over time.

    The new wave has seen a strengthening of the methodological standards. The full release of the EVS 2017 includes data and documentation of altogether 37 participating countries. For more information, please go to the EVS website.

    Morale, religious, societal, political, work, and family values of Europeans.

    Topics: 1. Perceptions of life: importance of work, family, friends and acquaintances, leisure time, politics and religion; happiness; self-assessment of own health; memberships in voluntary organisations (religious or church organisations, cultural activities, trade unions, political parties or groups, environment, ecology, animal rights, professional associations, sports, recreation, or other groups, none); active or inactive membership of humanitarian or charitable organisation, consumer organisation, self-help group or mutual aid; voluntary work in the last six months; tolerance towards minorities (people of a different race, heavy drinkers, immigrants, foreign workers, drug addicts, homosexuals, Christians, Muslims, Jews, and gypsies - social distance); trust in people; estimation of people´s fair and helpful behavior; internal or external control; satisfaction with life; importance of educational goals: desirable qualities of children.

    1. Work: attitude towards work (job needed to develop talents, receiving money without working is humiliating, people turn lazy not working, work is a duty towards society, work always comes first); importance of selected aspects of occupational work; give priority to nationals over foreigners as well as men over women in jobs.

    2. Religion and morale: religious denomination; current and former religious denomination; current frequency of church attendance and at the age of 12; self-assessment of religiousness; belief in God, life after death, hell, heaven, and re-incarnation; personal god vs. spirit or life force; importance of God in one´s life (10-point-scale); frequency of prayers; morale attitudes (scale: claiming state benefits without entitlement, cheating on taxes, taking soft drugs, accepting a bribe, homosexuality, abortion, divorce, euthanasia, suicide, paying cash to avoid taxes, casual sex, avoiding fare on public transport, prostitution, in-vitro fertilization, political violence, death penalty).

    3. Family: trust in family; most important criteria for a successful marriage or partnership (faithfulness, adequate income, good housing, sharing household chores, children, time for friends and personal hobbies); marriage is an outdated institution; attitude towards traditional understanding of one´s role of man and woman in occupation and family (gender roles); homosexual couples are as good parents as other couples; duty towards society to have children; responsibility of adult children for their parents when they are in need of long-term care; to make own parents proud is a main goal in life.

    4. Politics and society: political interest; political participation; preference for individual freedom or social equality; self-assessment on a left-right continuum (10-point-scale) (left-right self-placement); individual vs. state responsibility for providing; take any job vs. right to refuse job when unemployed; competition good vs. harmful for people; equal incomes vs. incentives for individual effort; private vs. government ownership of business and industry; postmaterialism (scale); most important aims of the country for the next ten years; willingness to fight for the country; expectation of future development (less importance placed on work and greater respect for authority); trust in institutions; essential characteristics of democracy; importance of democracy for the respondent; rating democracy in own country; satisfaction with the political system in the country; preferred type of political system (strong leader, expert decisions, army should rule the country, or democracy); vote in elections on local level, national level and European level; political party with the most appeal; another political party that most appeals; assessment of country´s elections (votes are counted fairly, opposition candidates are prevented from running, TV news favors the governing party, voters are bribed, journalists provide fair coverage of elections, election officials are fair, rich people buy elections, voters are threatened with violence at the...

  8. India Census: Population: by Religion: Muslim: Urban

    • ceicdata.com
    Updated Mar 15, 2023
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    CEICdata.com (2023). India Census: Population: by Religion: Muslim: Urban [Dataset]. https://www.ceicdata.com/en/india/census-population-by-religion/census-population-by-religion-muslim-urban
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    Dataset updated
    Mar 15, 2023
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2001 - Mar 1, 2011
    Area covered
    India
    Variables measured
    Population
    Description

    India Census: Population: by Religion: Muslim: Urban data was reported at 68,740,419.000 Person in 2011. This records an increase from the previous number of 49,393,496.000 Person for 2001. India Census: Population: by Religion: Muslim: Urban data is updated yearly, averaging 59,066,957.500 Person from Mar 2001 (Median) to 2011, with 2 observations. The data reached an all-time high of 68,740,419.000 Person in 2011 and a record low of 49,393,496.000 Person in 2001. India Census: Population: by Religion: Muslim: Urban data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAE001: Census: Population: by Religion.

  9. c

    International Social Survey Programme - ISSP-NL 2007-2008 Leisure & Sports /...

    • datacatalogue.cessda.eu
    • ssh.datastations.nl
    Updated Apr 25, 2025
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    H.B.G. Ganzeboom (2025). International Social Survey Programme - ISSP-NL 2007-2008 Leisure & Sports / Religion IV [Dataset]. http://doi.org/10.17026/dans-278-sn6b
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    Dataset updated
    Apr 25, 2025
    Dataset provided by
    VU University Amsterdam
    Authors
    H.B.G. Ganzeboom
    Description

    The modules 2007 (“Leisure and Sports”) and 2008 (“Religion IV”) of the International Social Survey Programme in the Netherlands [ISSP-NL] were conducted in 2008 as a stand-alone postal survey at the Free University Amsterdam [VUA] (Faculty of Social Sciences, Department of Social Research Methodology) by Harry B.G. Ganzeboom [principal investigator] and Heike Schroeder [fieldwork manager]. As of 2005, VUA has taken over the national ISSP membership for the Netherlands, formerly held by the Social and Cultural Planning Office [SCP] in The Hague, with Jos Becker as principal investigator. Funding for the 2007-2008 data collection was supplied by the VUA and Radboud University Nijmegen. Nijmegen’s contribution made it possible to double the number of respondents for the Religion module, as well as expand the number of questions asked in this module, in order to collect data for the NORFACE project 'Extending and enhancing the ISSP 2008 module on religion' [PI: David Voas, University of Manchester; Dutch Partner: Ariana Need, Radboud University Nijmegen].

    Note that this dataset is more elaborate than the Dutch part of the international ISSP file archived at GESIS, Leibniz Institute for the Social Sciences, Cologne, Germany.

  10. c

    Data from: Joint EVS/WVS 2017-2022 Dataset (Joint EVS/WVS)

    • datacatalogue.cessda.eu
    • eprints.soton.ac.uk
    • +3more
    Updated Jun 26, 2024
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    Gedeshi, Ilir; Rotman, David; Pachulia, Merab; Poghosyan, Gevorg; Kritzinger, Sylvia; Fotev, Georgy; Kolenović-Đapo, Jadranka; Baloban, Josip; Baloban, Stjepan; Rabušic, Ladislav; Frederiksen, Morten; Saar, Erki; Ketola, Kimmo; Pachulia, Merab; Wolf, Christof; Bréchon, Pierre; Voas, David; Rosta, Gergely; Rovati, Giancarlo; Jónsdóttir, Guðbjörg A.; Petkovska, Antoanela; Ziliukaite, Ruta; Reeskens, Tim; Jenssen, Anders T.; Komar, Olivera; Voicu, Bogdan; Soboleva, Natalia; Marody, Mirosława; Bešić, Miloš; Strapcová, Katarina; Uhan, Samo; Silvestre Cabrera, María; Wallman-Lundåsen, Susanne; Ernst Stähli, Michèle; Ramos, Alice; Micó Ibáñez, Joan; Carballo, Marita; McAllister, Ian; Foa, Roberto Stefan (PI Bangladesh); Moreno Morales, Daniel E.; de Oliveira de Castro, Henrique Carlos; Lagos, Marta; Zhong, Yang; Casas, Andres (PI Colombia); Yesilada, Birol (PI Cyprus); Paez, Cristina; Abdel Latif, Abdel Hamid; Jennings, Will (PI Ethiopia); Welzel, Christian; Koniordos. Sokratis; Díaz Argueta, Julio César; Cheng, Edmund; Gravelle, Timothy (PI Indonesia); Stoker, Gerry; Dagher, Munqith; Yamazaki, Seiko; Braizat, Fares; Rakisheva, Botagoz; Bakaloff, Yuri; Haerpfer, Christian (PI Lebanon); Wing-yat Yu, Eilo; Lee, Grace; Moreno, Alejandro; Souvanlasy, Chansada; Perry, Paul; Denton, Carlos (PI Nicaragua); Puranen, Bi (PI Nigeria); Gilani, Bilal; Romero, Catalina; Guerrero, Linda; Hernández Acosta, Javier J.; Voicu, Bogdan; Zavadskaya, Margarita; Veskovic, Nino; Auh, Soo Young; Tsai, Ming-Chang; Olimov, Muzaffar; Bureekul, Thawilwadee; Ben Hafaiedh, Abdelwahab; Esmer, Yilmaz; Inglehart, Ronald; Depouilly, Xavier; Norris, Pippa (PI Zimbabwe); Balakireva, Olga; Lachapelle, Guy; Mathews, Mathew; Mieriņa, Inta; Manasyan, Heghine; Ekstroem, Anna M. (PI Kenya); Swehli, Nedal; Riyaz, Aminath; Tseveen, Tsetsenbileg; Abderebbi, Mhammed; Verhoeven, Piet; Briceno-Leon, Roberto; Moravec, Vaclav; Duffy, Bobby; Stoneman, Paul; Kosnac, Pavol; Zuasnabar, Ignacio; Kumar, Sanjay; Uzbekistan: not specified for security reasons (2024). Joint EVS/WVS 2017-2022 Dataset (Joint EVS/WVS) [Dataset]. http://doi.org/10.4232/1.14320
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    Dataset updated
    Jun 26, 2024
    Dataset provided by
    Romanian Academy, Research Institute for Quality of Life
    University of Southampton, UK
    Institute of Sociology, University of Warsaw, Warsaw, Poland
    Voices Research and Consultancy S.A., Argentina
    Social Weather Stations, Philippines
    IPSOS Ecuador
    NAMA Strategic Intelligence Solutions, Jordan
    University of Vienna, Austria
    Instituto Tecnológico Autónomo de México
    Monash University Malaysia
    Portland State University, USA
    Pontificia Universidad Católica del Perú
    Department of Social Sciences, Mid Sweden University, Sundsvall, Sweden
    Global for Survey and Consulting, Casablanca, Morocco
    Public Opinion Research Center of School of International and Public Affairs at Shanghai Jiao Tong University, China
    Department of Sociology, Tilburg University, Tilburg, Netherlands
    Faculty of Political Sciences, University of Belgrade, Serbia
    Department of Government and Public Administration, University of Macau, Macao, China
    Institute of Philosophy, Mongolian Academy of Sciences, Ulaanbaatar, Mongolia
    Catholic Faculty of Theology, University of Zagreb, Zagreb, Croatia
    IRL (Indochina Research Laos) Myanmar Limited
    Egyptian Research and Training Center, Egypt
    Harvard University, USA
    Department of Government and International Studies, Hong Kong
    Lokniti - Centre for the Study of Developing Societies, Delhi, India
    Statistics Denmark, Copenhagen, Denmark
    University of Latvia, Riga, Latvia
    Concordia University, Canada
    Institut d’Estudis Andorrans, Centre de Recerca Sociològica (CRES), Andorra
    Department of Social Science, University College London, Great Britain
    Leuphana Universität Lüneburg, Germany
    Faculty for Social Wellbeing, New Bulgarian University, Sofia, Bulgaria
    Faculty of Social Sciences, Public Opinion and Mass Communication Research, University of Ljubljana, Ljubljana, Slovenia
    International Institute for Administration and Social Survey (IIACSS), Jordan
    Korean Social Science Data Center/ Ewha Womans University, South Korea
    GORBI (Georgian Opinion Research Business International), Tbilisi, Georgia
    Institute of Policy Studies, National University of Singapore, Singapore
    Universidad del Sagrado Corazón, Puerto Rico
    Latino Barometro, MORI Chile
    Equipos Consultores, Montevideo, Uruguay
    Social Science Research Institute, University of Iceland, Reykjavik, Iceland
    University of Amsterdam, Netherlands
    Center for Economic and Social Studies (CESS), Tirana, Albania
    DEKK Institute, Bratislava, Slovakia
    Dentsu Institute, Japan
    Escuela de Trabajo Social, Universidad de San Carlos de Guatemala
    Singidunum University Belgrade, Serbia
    Department of Sociology, Ss. Cyril and Methodius University, Skopje, North Macedonia
    Australian National University
    University of Melbourne, Australia
    Diwan Research, Tripoli, Libya
    Indochina Research Ltd Vietnam
    Public Opinion Research Institute, Kazakhstan
    Department of Sociology, Pázmány Péter Catholic University, Budapest, Hungary
    Research Center for Humanities and Social Sciences, Academia Sinica, Taipei, Taiwan ROC
    University of Michigan, USA
    SORGU, Baku, Azerbaijan
    Department of Sociology and Political Science, Norwegian University of Science and Technology, Norway
    Department of Government, University of Vienna, Vienna, Austria
    School of People, Environment and Planning, Massey University, New Zealand
    Social Monitoring Center, Ukraine (WVS wave 7); Institute Economy and Prognoses, National Academy of Ukraine, Department of Monitoring Research of the Social and Economic Process, Kiev, Ukraine (EVS 2017)
    Institute of Philosophy, Sociology and Law, Armenian National Academy of Sciences, Yerevan, Armenia
    Institute for Future Studies, Sweden
    Institute for Sociology, Slovak Academy of Sciences, Bratislava, Slovak Republic
    Research Centre SHARQ /Oriens, Tajikistan
    Catholic Faculty of Theology, University of Zagreb, Zagreb, Croatia (since September 2019)
    King’s College London, Great Britain
    Faculty of Social Studies, Masaryk University, Brno, Czech Republic
    FORS, Swiss Foundation for Research in Social Sciences, Université de Lausanne, Lausanne, Switzerland
    Center for Social Norms and Behaviroal Dynamics, University of Pennsylvania, USA
    De Facto Consultancy, Podgorica, Montenegro
    Faculty of Political Sciences and Sociology, Deusto University, Bilbao, Spain
    Laboratory for Comparative Social Research, Higher School of Economics, Moscow, Russia
    Laboratorio de Ciencias Sociales (LACSO), Caracas, Venezuela
    Institut d’études politiques de Grenoble, Grenoble, France
    Federal University of Rio Grande do Sul, Brazil
    Bahcesehir University, Turkey
    CIUDADANIA, Comunidad de Estudios Sociales y Acción Pública, Bolivia
    Instituto de Ciências Sociais, Universidade de Lisboa, Portugal
    Faculty of Philosophy, University of Sarajevo, Bosnia and Herzegovina
    Kirkon tutkimuskeskus, Tampere, Finland
    Karolinska University, Sweden
    Maldives National University, Malé, Maldives
    CRRC-Armenia, Yerevan, Armenia
    Gallup Pakistan
    Department of Sociology, Catholic University of the Sacred Heart, Milan, Italy
    Research institute for Quality of Life, Romanian Academy of Science, Bucharest, Romania
    Department of Sociology, Vilnius University, Lithuania
    Department of Social Sciences, GESIS - Leibniz Institute for the Social Sciences, Mannheim, Germany
    University of Crete, Greece
    Saar Poll, Tallinn, Estonia
    Charles University, Prague, Czech Republic
    The Center of Sociological and Political Research, Belarus State University, Minsk, Belarus
    Central Asia Barometer, Kyrgyzstan
    Laboratory for Comparative Social Research, Higher School of Economics, Russia
    Applied Social Science Forum, Tunisia
    King Prajadhipok’s Institute, Thailand
    CID/Gallup, S.A.
    Authors
    Gedeshi, Ilir; Rotman, David; Pachulia, Merab; Poghosyan, Gevorg; Kritzinger, Sylvia; Fotev, Georgy; Kolenović-Đapo, Jadranka; Baloban, Josip; Baloban, Stjepan; Rabušic, Ladislav; Frederiksen, Morten; Saar, Erki; Ketola, Kimmo; Pachulia, Merab; Wolf, Christof; Bréchon, Pierre; Voas, David; Rosta, Gergely; Rovati, Giancarlo; Jónsdóttir, Guðbjörg A.; Petkovska, Antoanela; Ziliukaite, Ruta; Reeskens, Tim; Jenssen, Anders T.; Komar, Olivera; Voicu, Bogdan; Soboleva, Natalia; Marody, Mirosława; Bešić, Miloš; Strapcová, Katarina; Uhan, Samo; Silvestre Cabrera, María; Wallman-Lundåsen, Susanne; Ernst Stähli, Michèle; Ramos, Alice; Micó Ibáñez, Joan; Carballo, Marita; McAllister, Ian; Foa, Roberto Stefan (PI Bangladesh); Moreno Morales, Daniel E.; de Oliveira de Castro, Henrique Carlos; Lagos, Marta; Zhong, Yang; Casas, Andres (PI Colombia); Yesilada, Birol (PI Cyprus); Paez, Cristina; Abdel Latif, Abdel Hamid; Jennings, Will (PI Ethiopia); Welzel, Christian; Koniordos. Sokratis; Díaz Argueta, Julio César; Cheng, Edmund; Gravelle, Timothy (PI Indonesia); Stoker, Gerry; Dagher, Munqith; Yamazaki, Seiko; Braizat, Fares; Rakisheva, Botagoz; Bakaloff, Yuri; Haerpfer, Christian (PI Lebanon); Wing-yat Yu, Eilo; Lee, Grace; Moreno, Alejandro; Souvanlasy, Chansada; Perry, Paul; Denton, Carlos (PI Nicaragua); Puranen, Bi (PI Nigeria); Gilani, Bilal; Romero, Catalina; Guerrero, Linda; Hernández Acosta, Javier J.; Voicu, Bogdan; Zavadskaya, Margarita; Veskovic, Nino; Auh, Soo Young; Tsai, Ming-Chang; Olimov, Muzaffar; Bureekul, Thawilwadee; Ben Hafaiedh, Abdelwahab; Esmer, Yilmaz; Inglehart, Ronald; Depouilly, Xavier; Norris, Pippa (PI Zimbabwe); Balakireva, Olga; Lachapelle, Guy; Mathews, Mathew; Mieriņa, Inta; Manasyan, Heghine; Ekstroem, Anna M. (PI Kenya); Swehli, Nedal; Riyaz, Aminath; Tseveen, Tsetsenbileg; Abderebbi, Mhammed; Verhoeven, Piet; Briceno-Leon, Roberto; Moravec, Vaclav; Duffy, Bobby; Stoneman, Paul; Kosnac, Pavol; Zuasnabar, Ignacio; Kumar, Sanjay; Uzbekistan: not specified for security reasons
    Time period covered
    Jan 18, 2017 - Jul 2, 2023
    Area covered
    France
    Measurement technique
    Face-to-face interview: Computer-assisted (CAPI/CAMI), Face-to-face interview: Paper-and-pencil (PAPI), Telephone interview: Computer-assisted (CATI), Self-administered questionnaire: Web-based (CAWI), Self-administered questionnaire: Paper, Web-based interview, EVS 2017:Mode of collection: mixed modeFace-to-face interview: CAPI (Computer Assisted Personal Interview)Face-to-face interview: PAPI (Paper and Pencil Interview)Telephone interview: CATI (Computer Assisted Telephone Interview) Self-administered questionnaire: CAWI (Computer-Assisted Web Interview)Self-administered questionnaire: PaperIn all countries, fieldwork was conducted on the basis of detailed and uniform instructions prepared by the EVS advisory groups. The main mode in EVS 2017 is face to face (interviewer-administered). An alternative self-administered form was possible but as a parallel mixed mode, i.e. there was no choice for the respondent between modes: either s/he was assigned to face to face, either s/he was assigned to web or web/mail format. In all countries included in the first pre-release, the EVS questionnaire was administered as face-to-face interview (CAPI or/and PAPI).The EVS 2017 Master Questionnaire was provided in English and each national Programme Director had to ensure that the questionnaire was translated into all the languages spoken by 5% or more of the population in the country. A central team monitored the translation process by means of the Translation Management Tool (TMT), developed by CentERdata (Tilburg).WVS wave 7:Mode of collection: mixed modeFace-to-face interview: CAPI (Computer Assisted Personal Interview)Face-to-face interview: PAPI (Paper and Pencil Interview)Telephone interview: CATI (Computer Assisted Telephone Interview)Self-administered questionnaire: CAWI (Computer-Assisted Web Interview)Self-administered questionnaire: PaperWeb-based interviewIn all countries, fieldwork was conducted on the basis of detailed and uniform instructions prepared by the WVS scientific advisory committee and WVSA secretariat. The main data collection mode in WVS 2017-2022 is face to face (interviewer-administered) with a printed (PAPI) or electronic (CAPI) questionnaire. Several countries employed self-administered interview or mixed-mode approach to data collection: Australia (CAWI; postal survey); Canada (CAWI); Great Britain (CAPI; CAWI; postal survey; web-based interview (Video interviewing); Hong Kong SAR (PAPI; CAWI); Malaysia (CAWI; PAPI); Netherlands (CAWI); Northern Ireland (CAPI; CAWI; postal survey; web-based interview (Video interviewing); USA (CAWI; CATI).The WVS Master Questionnaire was provided in English, Arabic, Russian and Spanish. Each national survey team had to ensure that the questionnaire was translated into all the languages spoken by 15% or more of the population in the country. WVSA Secretariat and Data archive monitored the translation process; every translation is subject to multi-stage validation procedure before the fieldwork can be started.
    Description

    The European Values Study (EVS) and the World Values Survey (WVS) are two large-scale, cross-national and longitudinal survey research programmes. They include a large number of questions on moral, religious, social, political, occupational and family values which have been replicated since the early eighties.

    Both organizations agreed to cooperate in joint data collection from 2017. EVS has been responsible for planning and conducting surveys in European countries, using the EVS questionnaire and EVS methodological guidelines. WVSA has been responsible for planning and conducting surveys in countries in the world outside Europe, using the WVS questionnaire and WVS methodological guidelines. Both organisations developed their draft master questionnaires independently. The joint items define the Common Core of both questionnaires.

    The Joint EVS/WVS is constructed from the two EVS and WVS source datasets: - European Values Study 2017 Integrated Dataset (EVS 2017), ZA7500 Data file Version 5.0.0, doi:10.4232/1.13897 (https://doi.org/10.4232/1.13897). Haerpfer, C., Inglehart, R., Moreno,A., Welzel,C., Kizilova,K., Diez-Medrano J., M. Lagos, P. Norris, E. Ponarin & B. Puranen et al. (eds.). 2024. World Values Survey: Round Seven–Country-Pooled Datafile. Madrid, Spain & Vienna, Austria: JD Systems Institute & WVSA Secretariat. Version. 6.0.0, doi:10.14281/18241.24.
    1. Perceptions of life: importance of family, friends, leisure time, politics, work, and religion; feeling of happiness; self-assessment of state of health; satisfaction with life; internal or external control; importance of educational goals: desirable qualities of children; membership in voluntary organisations (religious organisations, cultural activities, trade unions, political parties or groups, conservation, environment, ecology, animal rights, professional associations, sports, recreation, consumer groups, or other groups); membership in humanitarian or charitable organisation, self-help group or mutual aid; tolerance towards minorities (people of a different race, heavy drinkers, immigrants/ foreign workers, drug addicts, homosexuals - social distance); trust in people; protecting the environment vs. economic growth.

    1. Work: attitude towards work (people who don’t work turn lazy, work is a duty towards society, work always comes first); job scarce: men should have more right to a job than women (3-point scale and 5-point scale), employers should give priority to (nation) people than immigrants (3-point scale and 5-point scale).

    2. Religion and morale: religious denomination; current frequency of religious services attendance; frequency of prayer (WVS7); pray to God outside of religious services (EVS5); self-assessment of religiousness; belief in God, life after death, hell, and heaven; importance of God in one´s life; morale attitudes (scale: claiming government benefits without entitlement, avoiding a fare on public transport, cheating on taxes, accepting a bribe, homosexuality, prostitution, abortion, divorce, euthanasia, suicide, having casual sex, political violence, death penalty).

    3. Family: attitude towards traditional understanding of one´s role of man and woman in occupation and family (gender roles); homosexual couples are as good parents as other couples; duty towards society to have children; it is child´s duty to take care of ill parent; one of main goals in life has been to make own parents proud.

    4. Politics and society: most important aims of the country for the next ten years (first choice, second choice), aims of the respondent (first choice, second choice)); post-materialist index 4-item; willingness to fight for the country; expectation of future development (less importance placed on work and greater respect for authority); political interest; political participation (political action: signing a petition, joining in boycotts, attending lawful/ peaceful demonstrations, joining unofficial strikes); self positioning in political scale; equal incomes vs. incentives for individual effort; private vs. state ownership of business and industry; individual vs. government responsibility for providing; competition good vs. harmful for people; confidence in institutions (churches, armed forces, the press, labour unions, the police, parliament, the civil services, major regional organisations (combined from country-specific), the European Union, the government, the political parties, major companies, the environmental protection movement, justice system/ courts, the United Nations); satisfaction with the political system in the country; preferred type of political system (strong leader, expert decisions, army should rule the country, or democracy); party the respondent would vote for: first choice (WVS); political party with the most appeal (ISO 3166-1) (EVS5); essential characteristics of democracy; importance of democracy for the respondent; rating democracy in own country; vote in elections on local level and on...

  11. c

    The National SOM Survey 1994

    • datacatalogue.cessda.eu
    • demo.researchdata.se
    • +1more
    Updated Jan 7, 2025
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    SOM Institute (2025). The National SOM Survey 1994 [Dataset]. http://doi.org/10.5878/002354
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    Dataset updated
    Jan 7, 2025
    Dataset provided by
    University of Gothenburg
    Authors
    SOM Institute
    Time period covered
    Sep 30, 1994 - Jan 18, 1995
    Area covered
    Sweden
    Variables measured
    Individual
    Measurement technique
    Self-administered questionnaire: paper
    Description

    Since 1986 the research project ´Samhälle Opinion Massmedia´ (SOM) has been carrying out an annual nation-wide survey of Swedish opinions. This is accordingly the ninth survey in this series. The questionnaire was divided into six subject fields: mass media; politics and society; energy, nuclear power and environment; Sweden and the rest of the world; leisure; and background. Most of the questions are replications of questions asked in one or several previous SOM-surveys. New questions dealt with equality between men and women; Sweden´s future relation to the European Union; confidence in various groups concerning information about the European Union; the importance of various issues for the respondent´s own opinion on a Swedish membership of the European Union; opinion on establishment of various activities in the respondent´s own municipality; the rights of various ethnical groups to look after their interests; and radio channels listened to. The respondents also had to place the political parties on a scale measuring attitude towards christian values.

    Purpose:

    The main purpose is to establish time series that enable researchers to analyse how various changes in society affect people's attitudes and behaviour.

  12. D

    Culturele Veranderingen in Nederland 1998 - CV'98

    • ssh.datastations.nl
    bin, c, doc, pdf, tsv +2
    Updated Jun 22, 2025
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    J.W. Becker; J.W. Becker (2025). Culturele Veranderingen in Nederland 1998 - CV'98 [Dataset]. http://doi.org/10.17026/DANS-X49-BC4K
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    zip(24619), bin(24289), tsv(1931220), xml(2125), pdf(1530326), bin(415020), c(239908), doc(2796)Available download formats
    Dataset updated
    Jun 22, 2025
    Dataset provided by
    DANS Data Station Social Sciences and Humanities
    Authors
    J.W. Becker; J.W. Becker
    License

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

    Area covered
    Netherlands
    Description

    Trend study on changes in general opinions, values and beliefs and attitudes of the Dutch population. The survey contains variables from the International Social Survey Programme.Work / leisure / religion / religious issues / religion parents / church attendance / politics / political activities / satisfaction with current politics / relation politics and religion / most important issues in the Netherlands / crime and punishment / role of elderly in society / abortion / unwed mothers / environmental issues / happiness / trust of r. in several aspects of society / worries about money, health, politics, family, the future / opinions on, and satisfaction with: income, social security, welfare / role of husband and wife in family / trust in science / volunteer work Background variables: basic characteristics / household characteristics / occupation/employment / income / education / organizational membership.The data- and documentation files of this dataset can be downloaded via the option Data Files.

  13. D

    Culturele Veranderingen in Nederland 1995 - CV'95

    • ssh.datastations.nl
    • datacatalogue.cessda.eu
    Updated Apr 24, 2024
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    J.W. Becker; J.W. Becker (2024). Culturele Veranderingen in Nederland 1995 - CV'95 [Dataset]. http://doi.org/10.17026/DANS-294-Z7GU
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    c(267583), zip(32532), xml(2065), pdf(4366832), bin(30572), application/x-spss-por(2563650), bin(552078)Available download formats
    Dataset updated
    Apr 24, 2024
    Dataset provided by
    DANS Data Station Social Sciences and Humanities
    Authors
    J.W. Becker; J.W. Becker
    License

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

    Area covered
    Netherlands
    Description

    Trend study on changes in general opinions and attitudes of the Dutch population. The international part of the survey has the environment and national versus international orientation as topical focus.Oral interview: unpaid voluntary job, unpaid social support to others / willingness to work shorter hours ( in exchange for cut in payment ) / job satisfaction / satisfaction with life / prosperity, private and national, future expectations / most important national socio-economic issues / role of government in: socio-economic equality, public services, education, housing, environment / level of government spending / taxation / personal life: worries, satisfaction with housing, work, health, marriage / satisfaction with income, future expectations / social benefits: expected future levels, satisfaction in general and with specific benefits: AOW, ABW, WW, AWW, WAO, AAW, ZW/ estimated abuse in general and for specific benefits / policy alternatives social security system: minimalization ( mini-stelsel ) , basic income ( basisinkomen ) , forced public service for the unemployed / preferred relationship between levels of: social benefits, wages, cost of living, minimum wage ( koppeling ) / differences in income and property / worker's say / basic rights / civil rights, freedom of expression, strike, social action / education: equality of chances, educational policy / elderly: pensions, financial and social position, work, characteristics compared with youth, discrimination / generation gap: differences in opinion between generations, their values and beliefs, tolerance towards other generations / religion: religiousness, involvement in church activities / most important goal in life / family life: mode of cohabitation, children, child care, working mothers, gender roles / having children: acceptance of ( not ) having children in specific situations, in vitro fertilization, gender selection of baby / euthanasia / freedom and autonomy for children / extramarital permissiveness / crime, justice, safety: perceived increase in crime rate, punishment, use of drugs / social participation / politics: exposure to political items on television and in newspapers, reading about local politics, political preferences, activity and interest, sense of political efficacy, democratic attitude, political goals, ( acceptance of ) political activism, opinion leadership / environment, pollution: efficiency of measures, own behaviour and specific activities, willingness to pay for cleaner environment, energy saving measures, attitude towards environmental problems / ethnocentrism, cultural and ethnic minorities, foreigners, racism, discrimination, immigration policy, acculturation / appreciation of big cities / attitudes towards various topics: social inequality, abortion, role of government, emancipation of women, income levels, immigration / rating of government policy in several fields, satisfaction with government. Self administered questionnaire ( International part ): localism, nationalism, international orientation / national pride, patriotism / acculturation of minorities / perceived relation immigrants and: crime rates, economic growth, unemployment, cultural innovation / immigration level / political refugees / having lived abroad / home language, mother tongue / other foreign languages spoken / ethnic background / knowledge of and attitude towards European Union / opinion on: easier naturalization for immigrants, stricter measures against illegal immigrants. Background variables: basic characteristics/ place of birth/ residence/ household characteristics/ occupation/employment/ income/capital assets/ education/ social class/ politics/ religion/ readership, mass media, and 'cultural' exposure/ organizational membership.The data- and documentation files of this dataset can be downloaded via the option Data Files.

  14. Gallup Analytics

    • archive.ciser.cornell.edu
    Updated Feb 15, 2024
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    Gallup Organization (2024). Gallup Analytics [Dataset]. https://archive.ciser.cornell.edu/studies/2823
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    Dataset updated
    Feb 15, 2024
    Dataset provided by
    Gallup, Inc.http://gallup.com/
    Authors
    Gallup Organization
    Variables measured
    Individual
    Description

    Contains Gallup data from countries that are home to more than 98% of the world's population through a state-of-the-art Web-based portal. Gallup Analytics puts Gallup's best global intelligence in users' hands to help them better understand the strengths and challenges of the world's countries and regions. Users can access Gallup's U.S. Daily tracking and World Poll data to compare residents' responses region by region and nation by nation to questions on topics such as economic conditions, government and business, health and wellbeing, infrastructure, and education.

    The Gallup Analytics Database is accessed through the Cornell University Libraries here. In addition, a CUL subscription also allows access to the Gallup Respondent Level Data. For access please refer to the documentation below and then request the variables you need here.

    Before requesting data from the World Poll, please see the Getting Started guide and the Worldwide Research Methodology and Codebook (You will need to request access). The Codebook will give you information about all available variables in the datasets. There are other guides available as well in the google folder. You can also access information about questions asked and variables using the Gallup World Poll Reference Tool. You will need to create your user account to access the tool. This will only give you access to information about the questions asked and variables. It will not give you access to the data.

    For further documentation and information see this site from New York University Libraries. The Gallup documentation for the World Poll methodology is also available under the Data and Documentation tab.

    In addition to the World Poll and Daily Tracking Poll, also available are the Gallup Covid-19 Survey, Gallup Poll Social Series Surveys, Race Relations Survey, Confidence in Institutions Survey, Honesty and Ethics in Professions Survey, and Religion Battery.

    The process for getting access to respondent-level data from the Gallup U.S. Daily Tracking is similar to the World Poll Survey. There is no comparable discovery tool for U.S. Daily Tracking poll questions, however. Users need to consult the codebooks and available variables across years.

    The COVID-19 web survey began on March 13, 2020 with daily random samples of U.S. adults, aged 18 and older who are members of the Gallup Panel. Before requesting data, please see the Gallup Panel COVID-19 Survey Methodology and Codebook.

    The Gallup Poll Social Series (GPSS) dataset is a set of public opinion surveys designed to monitor U.S. adults’ views on numerous social, economic, and political topics. More information is available on the Gallup website: https://www.gallup.com/175307/gallup-poll-social-series-methodology.aspx As each month has a unique codebook, contact CCSS-ResearchSupport@cornell.edu to discuss your interests and start the data request process.

    Starting in 1973, Gallup started measuring the confidence level in several US institutions like Congress, Presidency, Supreme Court, Police, etc. The included dataset includes data beginning in 1973 and data is collected once per year. Users should consult the list of available variables.

    The Race Relations Poll includes topics that were previously represented in the GPSS Minority Relations Survey that ran through 2016. The Race Relations Survey was conducted November 2018. Users should consult the codebook for this poll before making their request.

    The Honesty and Ethics in Professions Survey – Starting in 1976, Gallup started measuring US perceptions of the honesty and ethics of a list of professions. The included dataset was added to the collection in March 2023 and includes data ranging from 1976-2022. Documentation for this collection is located here and will require you to request access.

    Religion Battery: Consolidated list of items focused on religion in the US from 1999-2022. Documentation for this collection is located here and will require you to request access.

  15. c

    National Survey of Sexual Attitudes and Lifestyles, 2010-2012: Open Access...

    • datacatalogue.cessda.eu
    Updated Nov 29, 2024
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    University of Manchester (2024). National Survey of Sexual Attitudes and Lifestyles, 2010-2012: Open Access Teaching Dataset [Dataset]. http://doi.org/10.5255/UKDA-SN-8786-1
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    Dataset updated
    Nov 29, 2024
    Dataset provided by
    Cathie Marsh Institute for Social Research
    Authors
    University of Manchester
    Time period covered
    Aug 31, 2010 - Jul 31, 2012
    Area covered
    United Kingdom
    Variables measured
    Individuals, National
    Measurement technique
    Compilation/Synthesis
    Description

    Abstract copyright UK Data Service and data collection copyright owner.


    The British National Surveys of Sexual Attitudes and Lifestyles (Natsal) are some of the largest and most detailed studies of sexual attitudes and behaviour in the world.

    This open access teaching dataset contains data from Natsal-3, which interviewed 15,162 adults aged 16-74 in 2010-2012. The data are taken from the original Natsal-3 study accessible via the UK Data Service, held under SN 7799. To make the data accessible for teaching via an open data licence, a subset of variables and cases has been selected. Some demographic variables have also been recoded and a new continuous variable measuring attitudes towards sexual behaviours has been created.


    Main Topics:

    The open access dataset contains variables covering the following topics:

    • attitudes towards sexual lifestyles and behaviours such as adultery, same sex relationships, and sex in the media
    • health/mental health and disability
    • religion and religious beliefs
    • relationships status
    • additional demographic attributes

  16. Millennium Cohort Study, Sweeps 1-7, 2001-2019: Demographics, Language and...

    • beta.ukdataservice.ac.uk
    Updated 2024
    + more versions
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    Institute Of Education University Of London (2024). Millennium Cohort Study, Sweeps 1-7, 2001-2019: Demographics, Language and Religion: Secure Access [Dataset]. http://doi.org/10.5255/ukda-sn-8755-1
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    Dataset updated
    2024
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    DataCitehttps://www.datacite.org/
    Authors
    Institute Of Education University Of London
    Description

    Background:
    The Millennium Cohort Study (MCS) is a large-scale, multi-purpose longitudinal dataset providing information about babies born at the beginning of the 21st century, their progress through life, and the families who are bringing them up, for the four countries of the United Kingdom. The original objectives of the first MCS survey, as laid down in the proposal to the Economic and Social Research Council (ESRC) in March 2000, were:

    • to chart the initial conditions of social, economic and health advantages and disadvantages facing children born at the start of the 21st century, capturing information that the research community of the future will require
    • to provide a basis for comparing patterns of development with the preceding cohorts (the National Child Development Study, held at the UK Data Archive under GN 33004, and the 1970 Birth Cohort Study, held under GN 33229)
    • to collect information on previously neglected topics, such as fathers' involvement in children's care and development
    • to focus on parents as the most immediate elements of the children's 'background', charting their experience as mothers and fathers of newborn babies in the year 2000, recording how they (and any other children in the family) adapted to the newcomer, and what their aspirations for her/his future may be
    • to emphasise intergenerational links including those back to the parents' own childhood
    • to investigate the wider social ecology of the family, including social networks, civic engagement and community facilities and services, splicing in geo-coded data when available
    Additional objectives subsequently included for MCS were:
    • to provide control cases for the national evaluation of Sure Start (a government programme intended to alleviate child poverty and social exclusion)
    • to provide samples of adequate size to analyse and compare the smaller countries of the United Kingdom, and include disadvantaged areas of England

    Further information about the MCS can be found on the Centre for Longitudinal Studies web pages.

    The content of MCS studies, including questions, topics and variables can be explored via the CLOSER Discovery website.

    The first sweep (MCS1) interviewed both mothers and (where resident) fathers (or father-figures) of infants included in the sample when the babies were nine months old, and the second sweep (MCS2) was carried out with the same respondents when the children were three years of age. The third sweep (MCS3) was conducted in 2006, when the children were aged five years old, the fourth sweep (MCS4) in 2008, when they were seven years old, the fifth sweep (MCS5) in 2012-2013, when they were eleven years old, the sixth sweep (MCS6) in 2015, when they were fourteen years old, and the seventh sweep (MCS7) in 2018, when they were seventeen years old.

    End User Licence versions of MCS studies:
    The End User Licence (EUL) versions of MCS1, MCS2, MCS3, MCS4, MCS5, MCS6 and MCS7 are held under UK Data Archive SNs 4683, 5350, 5795, 6411, 7464, 8156 and 8682 respectively. The longitudinal family file is held under SN 8172.

    Sub-sample studies:
    Some studies based on sub-samples of MCS have also been conducted, including a study of MCS respondent mothers who had received assisted fertility treatment, conducted in 2003 (see EUL SN 5559). Also, birth registration and maternity hospital episodes for the MCS respondents are held as a separate dataset (see EUL SN 5614).

    Release of Sweeps 1 to 4 to Long Format (Summer 2020)
    To support longitudinal research and make it easier to compare data from different time points, all data from across all sweeps is now in a consistent format. The update affects the data from sweeps 1 to 4 (from 9 months to 7 years), which are updated from the old/wide to a new/long format to match the format of data of sweeps 5 and 6 (age 11 and 14 sweeps). The old/wide formatted datasets contained one row per family with multiple variables for different respondents. The new/long formatted datasets contain one row per respondent (per parent or per cohort member) for each MCS family. Additional updates have been made to all sweeps to harmonise variable labels and enhance anonymisation.

    How to access genetic and/or bio-medical sample data from a range of longitudinal surveys:
    For information on how to access biomedical data from MCS that are not held at the UKDS, see the CLS Genetic data and biological samples webpage.

    Secure Access datasets:
    Secure Access versions of the MCS have more restrictive access conditions than versions available under the standard End User Licence or Special Licence (see 'Access data' tab above).

    Secure Access versions of the MCS include:
    • detailed sensitive variables not available under EUL. These have been grouped thematically and are held under SN 8753 (socio-economic, accommodation and occupational data), SN 8754 (self-reported health, behaviour and fertility), SN 8755 (demographics, language and religion) and SN 8756 (exact participation dates). These files replace previously available studies held under SNs 8456 and 8622-8627
    • detailed geographical identifier files which are grouped by sweep held under SN 7758 (MCS1), SN 7759 (MCS2), SN 7760 (MCS3), SN 7761 (MCS4), SN 7762 (MCS5 2001 Census Boundaries), SN 7763 (MCS5 2011 Census Boundaries), SN 8231 (MCS6 2001 Census Boundaries), SN 8232 (MCS6 2011 Census Boundaries), SN 8757 (MCS7), SN 8758 (MCS7 2001 Census Boundaries) and SN 8759 (MCS7 2011 Census Boundaries). These files replace previously available files grouped by geography SN 7049 (Ward level), SN 7050 (Lower Super Output Area level), and SN 7051 (Output Area level)
    • linked education administrative datasets for Key Stages 1, 2, 4 and 5 held under SN 8481 (England). This replaces previously available datasets for Key Stage 1 (SN 6862) and Key Stage 2 (SN 7712)
    • linked education administrative datasets for Key Stage 1 held under SN 7414 (Scotland)
    • linked education administrative dataset for Key Stages 1, 2, 3 and 4 under SN 9085 (Wales)
    • linked NHS Patient Episode Database for Wales (PEDW) for MCS1 – MCS5 held under SN 8302
    • linked Scottish Medical Records data held under SNs 8709, 8710, 8711, 8712, 8713 and 8714;
    • Banded Distances to English Grammar Schools for MCS5 held under SN 8394
    • linked Health Administrative Datasets (Hospital Episode Statistics) for England for years 2000-2019 held under SN 9030
    • linked Hospital of Birth data held under SN 5724.
    The linked education administrative datasets held under SNs 8481,7414 and 9085 may be ordered alongside the MCS detailed geographical identifier files only if sufficient justification is provided in the application.

    Researchers applying for access to the Secure Access MCS datasets should indicate on their ESRC Accredited Researcher application form the EUL dataset(s) that they also wish to access (selected from the MCS Series Access web page).

    International Data Access Network (IDAN)
    These data are now available to researchers based outside the UK. Selected UKDS SecureLab/controlled datasets from the Institute for Social and Economic Research (ISER) and the Centre for Longitudinal Studies (CLS) have been made available under the International Data Access Network (IDAN) scheme, via a Safe Room access point at one of the UKDS IDAN partners. Prospective users should read the UKDS SecureLab application guide for non-ONS data for researchers outside of the UK via Safe Room Remote Desktop Access. Further details about the IDAN scheme can be found on the UKDS International Data Access Network webpage and on the IDAN website.

  17. g

    2000 Families: Migration Histories of Turks in Europe

    • search.gesis.org
    • datacatalogue.cessda.eu
    • +1more
    Updated Nov 11, 2016
    + more versions
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    Guveli, Ayse; Ganzeboom, Harry B.G.; Baykara-Krumme, Helen; Bayrakdar, Sait; Eroglu, Sebnem; Hamutci, Bülent; Nauck, Bernhard; Platt, Lucinda; Sözeri, Efe Kerem (2016). 2000 Families: Migration Histories of Turks in Europe [Dataset]. http://doi.org/10.4232/1.12673
    Explore at:
    (3045998), (6549063), (3041516)Available download formats
    Dataset updated
    Nov 11, 2016
    Dataset provided by
    GESIS Data Archive
    GESIS search
    Authors
    Guveli, Ayse; Ganzeboom, Harry B.G.; Baykara-Krumme, Helen; Bayrakdar, Sait; Eroglu, Sebnem; Hamutci, Bülent; Nauck, Bernhard; Platt, Lucinda; Sözeri, Efe Kerem
    License

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

    Time period covered
    2010 - 2012
    Area covered
    Türkiye, Europe
    Variables measured
    MQ2 - Interview mode, famtree_age - FT:Age, famtree_sex - FT:Sex, type - FT:Generation, uniqueID - Unique ID, G11B - M:G11B. Currency, fcode - LB: Family Code, za_nr - ZA study number, ccode - FT:Children code, migfam_old - [old migfam], and 489 more
    Description

    The 2000 Families: Migration Histories of Turks in Europe project explores migration processes, the multi-generational transmission of social, cultural, religious and economic resources, values and behavior. The research is targeted Turkish migrant and non-migrant families, their members in European countries and those who did not migrate to European countries or returned to Turkey, and involves survey interviews with approximately 6000 family members across three generations.

    The study consists of three parts: Family Tree (Pilot and Main), Proxy interviews (Pilot and Main) and Personal interviews (Pilot and Main).

    I. Information on first generation man (IKE): male ancestor is migrant or non-migrant; still alive; place of birth; year of birth (age); ethnic family origin; left his place of birth for more than five years; migration within Turkey; country of first destination; place of first destination (NUTS); year or age of internal migration; year or age of international emigration; ever moved to Europe for more than five years and country; year or age of moving; country of current (last) residence; duration of stay in Europe; number of siblings; place in the rank; age; sex of siblings; sibling moved to Europe between 1960-1974; emigration motive(s); spouse is alive; emigration(s) of spouse; year of emigration(s) of spouse; current (last) marriage was his first marriage; end of the first marriage; arranged marriage; year of marriage; ethnic family origin of spouse; spouse is (was) a relative; religion of spouse (or partner); highest level of education; first main job (ISCO-88 and ISEI); job title of current or last job (ISCO-88 and ISEI); kind of job; occupation of the father of IKE (ISCO-88 and ISEI); religion (denomination); left the country before he died; age or year of death; country of death; legal marital status at time of death; information on IKE´s children, grandchildren and great grandchildren.

    Additionally coded was: children code; grandchildren code; rank number of children, grandchildren and great grandchildren; generation.

    II. 1. Information about respondent and migration history: migration status; year of first migration; age of first migration; country of current stay (NUTS); name of the city, town or village; degree of urbanization; city is usual place of living; name of the nearest city; usual place of living, degree of urbanization, nearest city, and country of usual place of living; place of birth, and degree of urbanization; nearest city to place of birth; country of place of birth; respondent left his country for at least one year and number of countries; destination countries; age of migration; main reason for moving; regularly movement between two countries; names of these two countries;

    1. Achieved education and occupation: completed education or still in education; literacy; age when finished education; country in which the respondent finished his education; highest level of education; information on first occupation and current (or last) occupation (ISCO-88 und ISEI); country of first job; occupational status; number of supervised employees; ethnic or national origin of the person who directly manages (managed) the respondent in this current or last job; number of Turkish colleagues; working hours; usual take home pay; currency; covered period of payment.

    2. Family: marriage and fertility: legal marital status; stable relationship; living together with a partner; number of marriages; age when first married; end of the first marriage due to death of a partner or divorce; divorced; age when first marriage ended; age or year of first divorce; age when married current or most recent spouse; number of children; sex and age of these children.

    3. Family relations: year of birth of mother and father; parents are alive; living together with parents; country of current stay; frequency of contact with parents; distance to the living place of parents; frequency of provided advice and financial support for own parents in the last 12 months; frequency of received support and financial support; attitude towards intergenerational relations and gender roles; responsible person for family finances.

    4. Attachment to Turkey and to the country and identity: Turkish citizenship; feeling connected to people from Turkey; portion of friends with Turkish background; citizenship of the country of residence; feeling connected with country nationals; preferred country to win the Eurovision Song Contest;...

  18. Data from: Northern Ireland Life and Times Survey, 2008

    • thearda.com
    • beta.ukdataservice.ac.uk
    • +1more
    Updated Oct 1, 2008
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    ARK (Access Research Knowledge), Northern Ireland (2008). Northern Ireland Life and Times Survey, 2008 [Dataset]. http://doi.org/10.17605/OSF.IO/3X6CF
    Explore at:
    Dataset updated
    Oct 1, 2008
    Dataset provided by
    Association of Religion Data Archives
    Authors
    ARK (Access Research Knowledge), Northern Ireland
    Dataset funded by
    Office of the First Minister and Deputy First Minister
    Economic and Social Research Council
    The Atlantic Philanthropies
    Description

    The Northern Ireland Life and Times Survey was launched in the autumn of 1998. Its mission has been to monitor the attitudes and behaviour of people in Northern Ireland during the late 1990s and into the present century, in order to provide a time-series and a public record of how our attitudes and behaviour develop on a wide range of social policy issues. The survey is run on a modular format. Two modules are repeated every year (Political Attitudes and Community Relations), and the rest of the survey varies annually with all the modules designed to be repeated in years to come. The specialty modules for 2008 are Attitudes to Older People, Religious Observance, and Minority Ethnic People.

    Each year, more than 30 countries participate in the "https://issp.org/" Target="_blank">International Social Survey Programme (ISSP), in which the same module of questions is asked cross-nationally. Northern Ireland has taken part in this exercise (via NISA) since 1989. The 1998 module covered religion. Full ISSP datasets can be obtained from the Zentralarchiv in Koln, Germany, where the datasets from the member countries are assembled.

  19. c

    Culturele Veranderingen in Nederland 1997 - CV'97

    • datacatalogue.cessda.eu
    • ssh.datastations.nl
    Updated Apr 25, 2024
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    J.W. Becker (2024). Culturele Veranderingen in Nederland 1997 - CV'97 [Dataset]. http://doi.org/10.17026/dans-xv5-7gvs
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    Dataset updated
    Apr 25, 2024
    Dataset provided by
    Sociaal en Cultureel Planbureau, SCP * Den Haag (primary investigator)
    Authors
    J.W. Becker
    Time period covered
    Jan 1, 1997 - Dec 31, 1997
    Area covered
    Netherlands
    Description

    Trend study on changes in general opinions and attitudes of the Dutch population regarding a wide range of topics. Part of the survey contains also variables from the replication of the International Social Survey Program concerning work orientation topics. Preferences concerning spending time: work, domestic work, family, friends, leisure activities / general attitude to work / work orientation / most important in the Netherlands / environmental issues / public facilities / social security system / class differences / abortion / taxes / adultery / euthanasia / homosexuality / tolerance in matters of religion / participation / foreigners / crime / daycare / treatment of drug addicts / cohabitation / volunteer work / income differences / philosophy of life and society in general / gender roles / divorce / opinion leadership / residence permits. Background variables: basic characteristics/ place of birth / residence / household characteristics / occupation / employment / income / capital assets / education / politics / religion/ readership, mass media, and 'cultural' exposure / organizational membership. The data- and documentation files of this dataset can be downloaded via the option Data Files.

  20. A

    Australian Survey of Social Attitudes, 2009

    • dataverse.ada.edu.au
    Updated Oct 22, 2024
    + more versions
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    Ann Evans; Ann Evans (2024). Australian Survey of Social Attitudes, 2009 [Dataset]. http://doi.org/10.4225/87/IH68HQ
    Explore at:
    pdf(623245), application/x-sas-syntax(764793), pdf(670617), pdf(692855), tsv(4571240), application/x-sas-system(12952576), pdf(8672)Available download formats
    Dataset updated
    Oct 22, 2024
    Dataset provided by
    ADA Dataverse
    Authors
    Ann Evans; Ann Evans
    License

    https://dataverse.ada.edu.au/api/datasets/:persistentId/versions/1.3/customlicense?persistentId=doi:10.4225/87/IH68HQhttps://dataverse.ada.edu.au/api/datasets/:persistentId/versions/1.3/customlicense?persistentId=doi:10.4225/87/IH68HQ

    Time period covered
    2009 - 2010
    Area covered
    Australia
    Description

    The 2009 Australian Survey of Social Attitudes (AuSSA) is the fourth in a biennial series that studies social attitudes and behaviour of Australian citizens for the Australian and international research community. AuSSA provides cross-sectional data on the social attitudes and behaviour of Australians, repeating a core questionnaire for each cross-section and fielding specific modules relevant to the changing needs of the social research community. AuSSA is Australia's official survey in the International Social Survey Program and regularly includes ISSP modules. AuSSA 2009 uses two survey instruments (Version A and Version B) and includes both the ISSP's Religion III and Social Inequality IV modules. The 2009 Survey includes attitudes and behaviours that are organised into fourteen categories - Religion, Birth Control and Sex Education, Australia's Population, Environment, Crime and Criminal Justice, Religiosity and Spiritual Life, Social Inequality, Old People in Society, Body Image, Elderly Care, Loneliness, Dental Care, Government Services, and Politics and Society. AuSSA 2009 also includes demographic and behavioural categories (Personal Background) that survey: sex, year born, income, education, employment, union membership, languages spoken, birthplace, household composition and religion. There are also questions about the partner of the respondent: employment, highest-level of education and income.

  21. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Saquib Hussain (2024). Largest Mosques [Dataset]. https://www.kaggle.com/datasets/saquib7hussain/largest-mosques
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Largest Mosques

List of largest mosques in the world

Explore at:
zip(0 bytes)Available download formats
Dataset updated
Apr 6, 2024
Authors
Saquib Hussain
License

https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

Description

All mosques from around the world by available capacity, that belong to any Islamic school or branch, that can accommodate at least 15,000 worshippers in all available places of prayer such as prayer halls (musala), courtyards (ṣaḥn) and porticoes (riwāq). All the mosques in this list are congregational mosques – a type of mosque that hosts the Friday prayer (ṣalāt al-jumuʿa) in congregation (jamāʿa).

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