4 datasets found
  1. Pew Survey of U.S. Jews 2013 - Household Component

    • thearda.com
    Updated 2013
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    Pew Forum on Religion and Public Life (2013). Pew Survey of U.S. Jews 2013 - Household Component [Dataset]. http://doi.org/10.17605/OSF.IO/8VDFU
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    Dataset updated
    2013
    Dataset provided by
    Association of Religion Data Archives
    Authors
    Pew Forum on Religion and Public Life
    Dataset funded by
    The Pew Charitable Trusts
    Pew Research Centerhttp://pewresearch.org/
    The Neubauer Family Foundation
    Description

    The Pew Research Center Survey of U.S. Jews 2013 is a comprehensive national survey of the Jewish population. The survey explores attitudes, beliefs, practices and experiences of Jews living in the United States. There are two datasets, a respondent dataset (where there is one row per respondent) and a household dataset (where there is one row per person in the sampled households). The respondent dataset includes all of the information collected as part of the survey. The household dataset is a reshaped version of the respondent dataset that includes a limited number of variables describing the demographic characteristics and Jewish status of all of the people in the surveyed households.

  2. Pew Survey of U.S. Jews 2013 - Respondent Component

    • thearda.com
    Updated 2013
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    Pew Forum on Religion and Public Life (2013). Pew Survey of U.S. Jews 2013 - Respondent Component [Dataset]. http://doi.org/10.17605/OSF.IO/3QYE6
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    Dataset updated
    2013
    Dataset provided by
    Association of Religion Data Archives
    Authors
    Pew Forum on Religion and Public Life
    Dataset funded by
    The Pew Charitable Trusts
    The Neubauer Family Foundation
    Pew Research Centerhttp://pewresearch.org/
    Description

    The Pew Research Center Survey of U.S. Jews 2013, is a comprehensive national survey of the Jewish population. The survey explores attitudes, beliefs, practices and experiences of Jews living in the United States. There are two datasets, a respondent dataset (where there is one row per respondent) and a household dataset (where there is one row per person in the sampled households). The respondent dataset includes all of the information collected as part of the survey. The household dataset is a reshaped version of the respondent dataset that includes a limited number of variables describing the demographic characteristics and Jewish status of all of the people in the surveyed households.

  3. Global Religious Demographics

    • kaggle.com
    zip
    Updated Dec 19, 2023
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    The Devastator (2023). Global Religious Demographics [Dataset]. https://www.kaggle.com/datasets/thedevastator/global-religious-demographics
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    zip(481071 bytes)Available download formats
    Dataset updated
    Dec 19, 2023
    Authors
    The Devastator
    Description

    Global Religious Demographics

    Global religious demographics over time

    By Throwback Thursday [source]

    About this dataset

    The dataset contains information on a wide range of religions, including Christianity, Judaism, Islam, Buddhism, Hinduism, Sikhism, Shintoism, Baha'i Faith, Taoism, Confucianism, Jainism, Zoroastrianism, Syncretic Religions (religious practices that blend elements from multiple faiths), Animism (belief in spiritual beings in nature), Non-Religious individuals or those without any religious affiliation.

    For each religion and region/country combination recorded in the dataset we have the following information:

    • Total population: The total population of the region or country.
    • Religious affiliation percentages: The percentages of the population that identify with specific religious affiliations.
    • Subgroup populations/percentages: The populations or percentages within specific denominations or sects of each religion.

    The dataset also provides additional variables like Year and State Name (for regional data) for further analysis.

    How to use the dataset

    • Understanding the Columns

      The dataset contains several columns with different categories of information. Here's a brief explanation of some important columns:

      • Year: The year in which the data was recorded.
      • Total Population: The total population of a country or region.
      • State Name (StateNme): The name of the state or region.

      Each religion has specific columns associated with it, such as Christianity, Buddhism, Islam, Hinduism, Judaism, Taoism, Shintoism etc., representing its percentage and population for each category/denomination within that religion.

    • Selecting Specific Data

      If you are interested in exploring data related to a particular religion or geographic location:

      • To filter data by Religion: Identify relevant columns associated with that religion such as 'Christianity', 'Buddhism', 'Islam', etc., and extract their respective percentage and population values for analysis.

        Example: If you want to analyze Christianity specifically, extract columns related to Christianity like 'Christianity (Percent)', 'Christianity (Population)', etc.

        Note: There might be multiple columns related to a specific religion indicating different categories or denominations within that religion.

      • To filter data by Geographic Location: Utilize the 'State Name' column ('StateNme') to segregate data corresponding to different states/regions.

        Example: If you want to analyze religious demographics for a particular state/region like California or India:

        i) Filter out rows where State Name is equal to California or India.

        ii) Extract relevant columns associated with your selected religion as mentioned above.

    • Finding Trends and Insights

      Once you have selected the specific data you are interested in, examine patterns and trends over time or across different regions.

      • Plotting data using visualizations: Use graphical tools such as line charts, bar charts, or pie charts to visualize how religious demographics have changed over the years or vary across different regions.

      • Analyzing population proportions: By comparing the percentage values of different religions for a given region or over time, you can gather insights into changes in religious diversity.

    • Comparing Religions

      If you wish to compare multiple religions:

    Research Ideas

    • Comparing religious affiliations across different countries or regions: With data on various religions such as Christianity, Islam, Buddhism, Judaism, Hinduism, etc., researchers can compare the religious affiliations of different countries or regions. This can help in understanding the cultural and religious diversity within different parts of the world.
    • Exploring the growth or decline of specific religions: By examining population numbers for specific religions such as Jainism, Taoism, Zoroastrianism, etc., this dataset can be used to investigate the growth or decline of these religious groups over time. Researchers can analyze factors contributing to their popularity or decline in particular regions or countries

    Acknowledgements

    If you use this dataset in your research, please credit the original authors. Data Source

    License

    See the dataset description for more information.

    Columns

    File: ThrowbackDataThursday 201912 - Religion.csv | Column name...

  4. 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 (County File) [Dataset]. http://doi.org/10.17605/OSF.IO/ET2A5
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    Dataset updated
    2020
    Dataset provided by
    Association of Religion Data Archives
    Dataset funded by
    United Church of Christ
    Glenmary Research Center
    The John Templeton Foundation
    Lutheran Church-Missouri Synod
    The Church of the Nazarene
    The Lilly Endowment, Inc.
    Southern Baptist Convention
    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, 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 #12 (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.

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Pew Forum on Religion and Public Life (2013). Pew Survey of U.S. Jews 2013 - Household Component [Dataset]. http://doi.org/10.17605/OSF.IO/8VDFU
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Pew Survey of U.S. Jews 2013 - Household Component

Explore at:
Dataset updated
2013
Dataset provided by
Association of Religion Data Archives
Authors
Pew Forum on Religion and Public Life
Dataset funded by
The Pew Charitable Trusts
Pew Research Centerhttp://pewresearch.org/
The Neubauer Family Foundation
Description

The Pew Research Center Survey of U.S. Jews 2013 is a comprehensive national survey of the Jewish population. The survey explores attitudes, beliefs, practices and experiences of Jews living in the United States. There are two datasets, a respondent dataset (where there is one row per respondent) and a household dataset (where there is one row per person in the sampled households). The respondent dataset includes all of the information collected as part of the survey. The household dataset is a reshaped version of the respondent dataset that includes a limited number of variables describing the demographic characteristics and Jewish status of all of the people in the surveyed households.

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