9 datasets found
  1. World Religion Project - Global Religion Dataset

    • thearda.com
    + more versions
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    The Association of Religion Data Archives (2013). World Religion Project - Global Religion Dataset [Dataset]. http://doi.org/10.17605/OSF.IO/J7BCM
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    Dataset provided by
    Association of Religion Data Archives
    Dataset funded by
    The University of California, Davis
    The John Templeton Foundation
    Description

    The World Religion Project (WRP) aims to provide detailed information about religious adherence worldwide since 1945. It contains data about the number of adherents by religion in each of the states in the international system. These numbers are given for every half-decade period (1945, 1950, etc., through 2010). Percentages of the states' populations that practice a given religion are also provided. (Note: These percentages are expressed as decimals, ranging from 0 to 1, where 0 indicates that 0 percent of the population practices a given religion and 1 indicates that 100 percent of the population practices that religion.) Some of the religions (as detailed below) are divided into religious families. To the extent data are available, the breakdown of adherents within a given religion into religious families is also provided.

    The project was developed in three stages. The first stage consisted of the formation of a religion tree. A religion tree is a systematic classification of major religions and of religious families within those major religions. To develop the religion tree we prepared a comprehensive literature review, the aim of which was (i) to define a religion, (ii) to find tangible indicators of a given religion of religious families within a major religion, and (iii) to identify existing efforts at classifying world religions. (Please see the original survey instrument to view the structure of the religion tree.) The second stage consisted of the identification of major data sources of religious adherence and the collection of data from these sources according to the religion tree classification. This created a dataset that included multiple records for some states for a given point in time. It also contained multiple missing data for specific states, specific time periods and specific religions. The third stage consisted of cleaning the data, reconciling discrepancies of information from different sources and imputing data for the missing cases.

    The Global Religion Dataset: This dataset uses a religion-by-five-year unit. It aggregates the number of adherents of a given religion and religious group globally by five-year periods.

  2. Dataset of Global Religious Composition Estimates for 2010 and 2020

    • pewresearch.org
    Updated 2025
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    Conrad Hackett; Marcin Stonawski; Yunping Tong; Stephanie Kramer; Anne Fengyan Shi (2025). Dataset of Global Religious Composition Estimates for 2010 and 2020 [Dataset]. http://doi.org/10.58094/vhrw-k516
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    Dataset updated
    2025
    Dataset provided by
    Pew Research Centerhttp://pewresearch.org/
    datacite
    Authors
    Conrad Hackett; Marcin Stonawski; Yunping Tong; Stephanie Kramer; Anne Fengyan Shi
    License

    https://www.pewresearch.org/about/terms-and-conditions/https://www.pewresearch.org/about/terms-and-conditions/

    Dataset funded by
    Pew Charitable Trusts
    John Templeton Foundation
    Description

    This dataset describes the world’s religious makeup in 2020 and 2010. We focus on seven categories: Christians, Muslims, Hindus, Buddhists, Jews, people who belong to other religions, and those who are religiously unaffiliated. This analysis is based on more than 2,700 sources of data, including national censuses, large-scale demographic surveys, general population surveys and population registers. For more information about this data, see the associated Pew Research Center report "How the Global Religious Landscape Changed From 2010 to 2020."

  3. Singapore Population: Religion: Female: Christianity: Others

    • ceicdata.com
    Updated Aug 17, 2019
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    CEICdata.com (2019). Singapore Population: Religion: Female: Christianity: Others [Dataset]. https://www.ceicdata.com/en/singapore/population-by-religion
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    Dataset updated
    Aug 17, 2019
    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
    Jun 1, 2000 - Jun 1, 2015
    Area covered
    Singapore
    Description

    Population: Religion: Female: Christianity: Others data was reported at 220.500 Person th in 2015. This records an increase from the previous number of 196.860 Person th for 2010. Population: Religion: Female: Christianity: Others data is updated yearly, averaging 196.860 Person th from Jun 2000 (Median) to 2015, with 3 observations. The data reached an all-time high of 220.500 Person th in 2015 and a record low of 138.873 Person th in 2000. Population: Religion: Female: Christianity: Others data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.G002: Population by Religion .

  4. a

    Nigeria Religion Points

    • ebola-nga.opendata.arcgis.com
    • hub.arcgis.com
    Updated Dec 5, 2014
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    National Geospatial-Intelligence Agency (2014). Nigeria Religion Points [Dataset]. https://ebola-nga.opendata.arcgis.com/content/0ba0f373d17b417a8827b98008e58825
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    Dataset updated
    Dec 5, 2014
    Dataset authored and provided by
    National Geospatial-Intelligence Agency
    Area covered
    Description

    Islam and Christianity form the two dominant religions in Nigeria. Since colonialism, approximately 90 percent of the Nigerian people identify themselves as Islamic or Christian. The northern region of Nigeria is predominately Islamic, while the southern region is predominately Christian.

    Nigeria’s contact with Islam predated that of Christianity and European colonialism; its spread was facilitated into Sub-Saharan Africa through trade and commerce. The northern part of Nigeria is symbolic to the history of Islam, as it penetrated the area through the Kanem-Borno Empire in the 11th century before spreading to other predominately Hausa states. Islam was then introduced into the traditional societies of the Yoruba-speaking people of south-west Nigeria through their established commercial relationship with people of the north, particularly the Nupe and Fulani.

    Christianity reached Nigeria in the 15th century with the visitation of Catholic missionaries to the coastal areas of the Niger-Delta region. Christianity soon recorded a boost in the southern region given its opposition to the slave trade and its promotion of Western education.

    The distinct religious divide has instigated violence in present-day Nigeria, including the Sharia riot in Kaduna in 2000, ongoing ethno-religious violence in Jos since 2001, and the 2011 post-election violence that erupted in some northern states, particularly in the city of Maiduguri. Nigerians’ continued loyalty to religion compared to that of the country continues to sustain major political debate, conflict, and violent outbreaks between populations of the two faiths.

    ISO3-International Organization for Standardization 3-digit country code

    NAME-Name of religious institution

    TYPE-Type of religious institution

    CITY-City religious institution is located in

    SPA_ACC-Spatial accuracy of site location 1- high, 2 – medium, 3 - low

    SOURCE_DT-Source creation date

    SOURCE-Primary source

    SOURCE2_DT-Secondary source creation date

    SOURCE2-Secondary source

    Collection

    This HGIS was created using information collected from the web sites GCatholic.org, Islamic Finder, Wikimapia, and BBBike.org, which uses OpenStreetMap, a crowd-source collaboration project that geo-locates sites throughout the world. After collection, all education institutions were geo-located.

    The data included herein have not been derived from a registered survey and should be considered approximate unless otherwise defined. While rigorous steps have been taken to ensure the quality of each dataset, DigitalGlobe Analytics is not responsible for the accuracy and completeness of data compiled from outside sources.

    Sources (HGIS)

    BBBike, "Nigeria." Last modified 2013. Accessed March 19, 2013. http://extract.bbbike.org.

    GCatholic.org, "Catholic Churches in Federal Republic of Nigeria." Last modified 2013. Accessed April 4, 2013. http://www.gcatholic.org/.

    Islamic Finder, "Nigeria." Last modified 2013. Accessed April 4, 2013. http://islamicfinder.org/.

    Olanrewaju, Timothy. The Sun, "oko Haram attacks church in Maiduguri." Last modified 2013. Accessed April 9, 2013. http://sunnewsonline.com/.

    Wikimapia, "Nigeria:Mosques/Churches." Last modified 2013. Accessed April 4, 2013. http://wikimapia.org/

    World Watch Monitor, "Muslim Threat to Attack Church Raises Tensions." Last modified 2012. Accessed April 9, 2013. http://www.worldwatchmonitor.org/.

    Sources (Metadata)

    Danjibo, N.D. "Islamic Fundamentalism and Sectarian Violence: The "Maitatsine" and "Boko Haram" Crises in Northern Nigeria." manuscript., University of Ibadan, 2010. http://www.ifra-nigeria.org.

    Olanrewaju, Timothy. The Sun, "oko Haram attacks church in Maiduguri." Last modified 2013. Accessed April 9, 2013. http://sunnewsonline.com/.

    Onapajo, Hakeem. "Politics for God: Religion, Politics, and Conflict in Democratic Nigeria." Journal of Pan African Studies. 4. no. 9 (2012): 42-66. http://web.ebscohost.com (accessed March 26, 2013).

    World Watch Monitor, "Muslim Threat to Attack Church Raises Tensions." Last modified 2012. Accessed April 9, 2013. http://www.worldwatchmonitor.org/.

  5. Data from: A Twitter Streaming Data Set collected before and after the Onset...

    • zenodo.org
    • data.niaid.nih.gov
    json
    Updated Jan 16, 2023
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    Janina Susanne Pohl; Janina Susanne Pohl; Moritz Vinzent Seiler; Moritz Vinzent Seiler; Dennis Assenmacher; Dennis Assenmacher; Christian Grimme; Christian Grimme (2023). A Twitter Streaming Data Set collected before and after the Onset of the War between Russia and Ukraine in 2022 [Dataset]. http://doi.org/10.5281/zenodo.7540223
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    jsonAvailable download formats
    Dataset updated
    Jan 16, 2023
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Janina Susanne Pohl; Janina Susanne Pohl; Moritz Vinzent Seiler; Moritz Vinzent Seiler; Dennis Assenmacher; Dennis Assenmacher; Christian Grimme; Christian Grimme
    Area covered
    Ukraine, Russia
    Description

    Social media can be mirrors of human interaction, society, and world events. Their reach enables the global dissemination of information in the shortest possible time and thus the individual participation of people all over the world in global events in almost real-time. However, equally efficient, these platforms can be misused in the context of information warfare in order to manipulate human perception and opinion formation. The outbreak of war between Russia and Ukraine on February 24, 2022, demonstrated this in a striking manner.

    Here we publish a dataset of raw tweets collected by using the Twitter Streaming API in the context of the onset of the war which Russia started on Ukraine on February 24, 2022. A distinctive feature of the dataset is that it covers the period from one week before to one week after Russia's invasion of Ukraine. We publish the IDs of all tweets we streamed during that time, the time we rehydrated them using Twitter's API as well as the result of the rehydration. If you use this dataset, please cite our related Paper:

    Pohl, Janina Susanne and Seiler, Moritz Vinzent and Assenmacher, Dennis and Grimme, Christian, A Twitter Streaming Dataset collected before and after the Onset of the War between Russia and Ukraine in 2022 (March 25, 2022). Available at SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4066543

  6. I

    India Census: Population: by Religion: Muslim: Urban

    • ceicdata.com
    Updated Mar 15, 2023
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    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
    CEICdata.com
    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.

  7. D

    The Advent Of Imam Mahdi As The Avenger Of Imam Hussein

    • ssh.datastations.nl
    • datacatalogue.cessda.eu
    • +1more
    pdf, zip
    Updated Oct 13, 2022
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    DANS Data Station Social Sciences and Humanities (2022). The Advent Of Imam Mahdi As The Avenger Of Imam Hussein [Dataset]. http://doi.org/10.17026/dans-zxj-zryp
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    pdf(2174798), zip(15676)Available download formats
    Dataset updated
    Oct 13, 2022
    Dataset provided by
    DANS Data Station Social Sciences and Humanities
    License

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

    Description

    Purpose: This article attempts to deal with the events that took place during the advent (reappearance) of Imam Mahdi, the Savior of all the worlds. In fact, in this article, we will discuss the forces that will join him when the Imam of the time appears, and above all, with Imam Hussein and how globalization can pave the way for Imam Mahdi's world revolution. Also, this research was conducted to answer and clarify three questions that stated in the Introduction section.Methods: We performed our methods in 4 stages: Identifying studies, Selection of Studies, Collating Studies, Reporting results.Results: One of the reasons why the Imam of the Age (Imam Mahdi) rises is because of the killing of Imam Hussein, and God has made a firm promise that he will take revenge on any of the perpetrators who led this incident by Imam Mahdi. Imam Hussein also states that the basis of his rising was inviting people to the Quran and the Prophet's Sunnah.Conclusion: God helps Imam Mahdi and Jesus Christ to establish divine government on earth, and this is accepted by Muslims and Christians. Dread and terror, as part of Imam Mahdi's power, will move in advance of his soldiers. Imam Mahdi will appear with the aim of reforming humanity and spreading justice in the world. We hope this article will take an important step in acquainting people with Imam Mahdi and Jesus Christ and paving the ground for their reappearance.

  8. 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
    Kirkon tutkimuskeskus, Tampere, Finland
    Karolinska University, Sweden
    Institute of Sociology, University of Warsaw, Warsaw, Poland
    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
    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
    DEKK Institute, Bratislava, Slovakia
    Applied Social Science Forum, Tunisia
    King Prajadhipok’s Institute, Thailand
    CID/Gallup, S.A.
    Catholic Faculty of Theology, University of Zagreb, Zagreb, Croatia
    Instituto Tecnológico Autónomo de México
    Diwan Research, Tripoli, Libya
    Indochina Research Ltd Vietnam
    Public Opinion Research Institute, Kazakhstan
    Department of Sociology, Pázmány Péter Catholic University, Budapest, Hungary
    International Institute for Administration and Social Survey (IIACSS), Jordan
    Department of Sociology, Vilnius University, Lithuania
    Social Weather Stations, Philippines
    Egyptian Research and Training Center, Egypt
    Harvard University, USA
    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)
    Concordia University, Canada
    Department of Government and International Studies, Hong Kong
    Lokniti - Centre for the Study of Developing Societies, Delhi, India
    University of Amsterdam, Netherlands
    Center for Economic and Social Studies (CESS), Tirana, Albania
    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
    Research Center for Humanities and Social Sciences, Academia Sinica, Taipei, Taiwan ROC
    Faculty of Political Sciences and Sociology, Deusto University, Bilbao, Spain
    Laboratory for Comparative Social Research, Higher School of Economics, Moscow, Russia
    Maldives National University, Malé, Maldives
    CRRC-Armenia, Yerevan, Armenia
    Charles University, Prague, Czech Republic
    The Center of Sociological and Political Research, Belarus State University, Minsk, Belarus
    Department of Social Sciences, GESIS - Leibniz Institute for the Social Sciences, Mannheim, Germany
    University of Crete, Greece
    Saar Poll, Tallinn, Estonia
    Center for Social Norms and Behaviroal Dynamics, University of Pennsylvania, USA
    De Facto Consultancy, Podgorica, Montenegro
    University of Melbourne, Australia
    IPSOS Ecuador
    NAMA Strategic Intelligence Solutions, Jordan
    Dentsu Institute, Japan
    Escuela de Trabajo Social, Universidad de San Carlos de Guatemala
    Singidunum University Belgrade, Serbia
    Central Asia Barometer, Kyrgyzstan
    Laboratory for Comparative Social Research, Higher School of Economics, Russia
    Korean Social Science Data Center/ Ewha Womans University, South Korea
    GORBI (Georgian Opinion Research Business International), Tbilisi, Georgia
    Romanian Academy, Research Institute for Quality of Life
    University of Southampton, UK
    Monash University Malaysia
    Portland State University, USA
    Pontificia Universidad Católica del Perú
    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
    Department of Sociology, Ss. Cyril and Methodius University, Skopje, North Macedonia
    Australian National University
    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
    Faculty of Social Sciences, Public Opinion and Mass Communication Research, University of Ljubljana, Ljubljana, Slovenia
    Bahcesehir University, Turkey
    IRL (Indochina Research Laos) Myanmar Limited
    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
    Statistics Denmark, Copenhagen, Denmark
    University of Latvia, Riga, Latvia
    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
    University of Vienna, Austria
    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
    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
    Catholic Faculty of Theology, University of Zagreb, Zagreb, Croatia (since September 2019)
    Laboratorio de Ciencias Sociales (LACSO), Caracas, Venezuela
    Institut d’études politiques de Grenoble, Grenoble, France
    Federal University of Rio Grande do Sul, Brazil
    Voices Research and Consultancy S.A., Argentina
    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...

  9. f

    List of Christian denominations represented by over 5 religious leaders.

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    xls
    Updated Jun 1, 2023
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    Jerry S. Rakotoniana; Jean de Dieu M. Rakotomanga; Hubert Barennes (2023). List of Christian denominations represented by over 5 religious leaders. [Dataset]. http://doi.org/10.1371/journal.pone.0097131.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Jerry S. Rakotoniana; Jean de Dieu M. Rakotomanga; Hubert Barennes
    License

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

    Description

    4 did not answer the question about denomination,16 did not answer this question.**New Life Baptist Church (N = 5, 4: 80%), Evangelical Church (N = 5, 2∶40%), Revival Church of Jesus’ Disciples (N = 5, 1∶20%), Denomination unknown (N = 4, 3∶75%), Jesus Winner and Union of the Pentecostals and Jesus’ Wife Community (N = 3, 1∶33.3%), Free my People (N = 2, 1∶50%), Baptist Church of Mamorivokatra (N = 1, 0∶0%).

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    Learn how you can add new datasets to our index.

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The Association of Religion Data Archives (2013). World Religion Project - Global Religion Dataset [Dataset]. http://doi.org/10.17605/OSF.IO/J7BCM
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World Religion Project - Global Religion Dataset

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90 scholarly articles cite this dataset (View in Google Scholar)
Dataset provided by
Association of Religion Data Archives
Dataset funded by
The University of California, Davis
The John Templeton Foundation
Description

The World Religion Project (WRP) aims to provide detailed information about religious adherence worldwide since 1945. It contains data about the number of adherents by religion in each of the states in the international system. These numbers are given for every half-decade period (1945, 1950, etc., through 2010). Percentages of the states' populations that practice a given religion are also provided. (Note: These percentages are expressed as decimals, ranging from 0 to 1, where 0 indicates that 0 percent of the population practices a given religion and 1 indicates that 100 percent of the population practices that religion.) Some of the religions (as detailed below) are divided into religious families. To the extent data are available, the breakdown of adherents within a given religion into religious families is also provided.

The project was developed in three stages. The first stage consisted of the formation of a religion tree. A religion tree is a systematic classification of major religions and of religious families within those major religions. To develop the religion tree we prepared a comprehensive literature review, the aim of which was (i) to define a religion, (ii) to find tangible indicators of a given religion of religious families within a major religion, and (iii) to identify existing efforts at classifying world religions. (Please see the original survey instrument to view the structure of the religion tree.) The second stage consisted of the identification of major data sources of religious adherence and the collection of data from these sources according to the religion tree classification. This created a dataset that included multiple records for some states for a given point in time. It also contained multiple missing data for specific states, specific time periods and specific religions. The third stage consisted of cleaning the data, reconciling discrepancies of information from different sources and imputing data for the missing cases.

The Global Religion Dataset: This dataset uses a religion-by-five-year unit. It aggregates the number of adherents of a given religion and religious group globally by five-year periods.

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