3 datasets found
  1. 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
    Explore at:
    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...

  2. I

    India Census: Population: by Religion: Muslim: Urban

    • ceicdata.com
    Updated Apr 7, 2022
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    CEICdata.com (2022). India Census: Population: by Religion: Muslim: Urban [Dataset]. https://www.ceicdata.com/en/india/census-population-by-religion/census-population-by-religion-muslim-urban
    Explore at:
    Dataset updated
    Apr 7, 2022
    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.

  3. d

    NCRB: Year-wise Undertrial prisoners by Religion

    • dataful.in
    Updated Nov 26, 2025
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    Dataful (Factly) (2025). NCRB: Year-wise Undertrial prisoners by Religion [Dataset]. https://dataful.in/datasets/467
    Explore at:
    application/x-parquet, xlsx, csvAvailable download formats
    Dataset updated
    Nov 26, 2025
    Dataset authored and provided by
    Dataful (Factly)
    License

    https://dataful.in/terms-and-conditionshttps://dataful.in/terms-and-conditions

    Area covered
    India
    Variables measured
    Prisoners
    Description

    The Prison Statistics India report of NCRB provides data on the religion wise distribution of undertrial prisoners in the country; viz; Hindu, Christian, Muslim, Sikh, and Others.

    Note: 1) Maharashtra stopped proving religion and caste based distribution of undertrials since 2016 2) Report did not publish the data in 2016.

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Click to copy link
Link copied
Close
Cite
The Devastator (2023). Global Religious Demographics [Dataset]. https://www.kaggle.com/datasets/thedevastator/global-religious-demographics
Organization logo

Global Religious Demographics

Global religious demographics over time

Explore at:
16 scholarly articles cite this dataset (View in Google Scholar)
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...

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