Religious Populations Worldwide

Religious Populations Worldwide by Year and Category

By Throwback Thursday [source]

About this dataset

The dataset includes data on Christianity, Islam, Judaism, Buddhism, Hinduism, Sikhism, Shintoism, Baha'i Faith, Taoism, Confucianism, Jainism and various other syncretic and animist religions. For each religion or denomination category, it provides both the total population count and the percentage representation in relation to the overall population.

Additionally, - Columns labeled with Population provide numeric values representing the total number of individuals belonging to a particular religion or denomination. - Columns labeled with Percent represent numerical values indicating the percentage of individuals belonging to a specific religion or denomination within a given population. - Columns that begin with ** indicate primary categories (e.g., Christianity), while columns that do not have this prefix refer to subcategories (e.g., Christianity - Roman Catholics).

In addition to providing precise data about specific religions or denominations globally throughout multiple years,this dataset also records information about geographical locations by including state or country names under StateNme.

This comprehensive dataset is valuable for researchers seeking information on global religious trends and can be used for analysis in fields such as sociology, anthropology studies cultural studies among others

How to use the dataset

Introduction:

• Understanding the Columns:

• Year: Represents the year in which the data was recorded.

• StateNme: Represents the name of the state or country for which data is recorded.

• Population: Represents the total population of individuals.

• Total Religious: Represents the total percentage and population of individuals who identify as religious, regardless of specific religion.

• Non Religious: Represents the percentage and population of individuals who identify as non-religious or atheists.

• Identifying Specific Religions: The dataset includes columns for different religions such as Christianity, Judaism, Islam, Buddhism, Hinduism, etc. Each religion is further categorized into specific denominations or types within that religion (e.g., Roman Catholics within Christianity). You can find relevant information about these religions by focusing on specific columns related to each one.

• Analyzing Percentages vs. Population: Some columns provide percentages while others provide actual population numbers for each category. Depending on your analysis requirement, you can choose either column type for your calculations and comparisons.

• Accessing Historical Data: The dataset includes records from multiple years allowing you to analyze trends in religious populations over time. You can filter data based on specific years using Excel filters or programming languages like Python.

• Filtering Data by State/Country: If you are interested in understanding religious populations in a particular state or country, use filters to focus on that region's data only.

Example - Extracting Information:

Let's say you want to analyze Hinduism's growth globally from 2000 onwards:

• Identify Relevant Columns:
• Year: to filter data from 2000 onwards.

• Hindu - Total (Percent): to analyze the percentage of individuals identifying as Hindus globally.

• Filter Data:

• Set a filter on the Year column and select values greater than or equal to 2000.

• Look for rows where Hindu - Total (Percent) has values.

• Analyze Results: You can now visualize and calculate the growth of Hinduism worldwide after filtering out irrelevant data. Use statistical methods or graphical representations like line charts to understand trends over time.

Conclusion: This guide has provided you with an overview of how to use the Rel

Research Ideas

• Comparing religious populations across different countries: With data available for different states and countries, this dataset allows for comparisons of religious populations across regions. Researchers can analyze how different religions are distributed geographically and compare their percentages or total populations across various locations.
• Studying the impact of historical events on religious demographics: Since the dataset includes records categorized by year, it can be used to study how historical events such as wars, migration, or political changes have influenced religious demographics over time. By comparing population numbers before and after specific events, resea...

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...

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."

As the COVID-19 pandemic hit, Orthodox Christians globally reacted to the possibility of contagion and risk in dialogue with theological positions about materials, their own long history which includes surviving previous pandemics and plagues, governmental and civil expectations and edicts, and pious – but often unofficial – understandings about protection and the sacrality of religious artefacts and the space of the temple. This dataset aggregates primary ethnographic research amongst Orthodox Christians in the UK, Serbia, Greece and Russia to highlight commonalities and divergences in Orthodox Christian responses to the pandemic. Examining both the theological basis, and socio-political differences, this dataset focuses on how the Orthodox theology of apophaticism and relationality impacts wider discourses of contagion (both positive and negative), and consequently compliance with public health initiatives. Comparison across diverse Orthodox settings highlights Orthodox Christian concern with the neighbour – both in terms of who may be watching (and reporting) them, and who may fall sick because of them.

Aims: This project asks 'What role does the material ecology play in shaping the sociopolitics of Global Orthodoxy?' as a case study for global political discourse and the role of material in the social dynamics of religion. Impact: Orthodox Christianity is a tradition based on discourse, but there has been very little research looking at the specifics of how it works. Focusing on discourse also tends to over emphasise words and belief. But what if, like Max Muller, we insist that religion must start with what is perceived, not with concepts like 'belief in the supernatural'? This means we situate discursive traditions like Orthodoxy not in concepts but in the material culture of local and global religious groups. This reframes how we understand religion, and forefronts the impact that religious practice has upon material aspects of our experience like health, the environment and geopolitics. Context: Much social scientific interest in religion looks at the variation in the lived religion from one place to another. However, there are moments - such as in April 2018 when the President of Ukraine asked the Greek Patriarch to intervene into the Russian Church in the Ukraine - when religion can not be studied only in the local lived expression. Situations such as the conflict in Ukraine are complicated by historic tension between local Orthodox Churches. Disagreements in the interpretation of the theology of the body, person, and environment foment political tension within the Churches, between the Churches and external bodies, and between nations. The materiality of discourse must be seen as central to the form and practice of the tradition. Research: Framed in terms of three research domains, this project focuses on the material conditions of Global Orthodox sociopolitics, conducting research amongst Orthodox Christians and religious institutions. The project investigates how the properties and affordances of the material ecology (including the body, the built environment and wider 'natural' order) shape and are marshalled within the discourse of the Orthodox Churches. The three domains are the Body, Person, and Environment. The Body domain addresses issues such as medical interventions, like IVF and organ donation, which are, across Global Orthodoxy, contentious to varying degrees. The material body becomes a place for negotiating ethical goods (eg extending life, fertility, honouring God). The Person domain examines the variance in permission different churches grant concerning family and marriage practices (eg divorce, family planning). There is also a mounting discourse around identity politics, with some voices pushing for an open approach to homosexuality and women clergy. The material of the body, person, and Church are marshalled as the grounding for historically contingent, philosophically premised, and scientifically inflected arguments for or against 'progressive' movements. Finally, the Environment domain examines the relationship between humans, specific locations, and the earth as a whole. Orthodox theologians highlight an emphasis on 'stewardship of the earth' and call for active engagement in ecological conservation. Issues such as Global Warming take an explicitly religious imperative, as scientific data points to human failure to fulfil their God-given role as caretakers. The control of land (including places like Crimea and Jerusalem) also becomes a religious duty with geopolitical impact. Output: This project will produce one academic book on the material aspects of the sociopolitics of Orthodox Christianity, a book written for a general audience looking at key case studies around contemporary issues in Orthodoxy, six academic articles, white papers and policy advice on various issues relating to the health and wellbeing of Orthodox Christians and their homelands, and pamphlets written with stakeholder community leaders to help address social issues within the community settings.

Pew Research Center conducted face-to-face surveys among 29,999 adults (ages 18 and older) across 26 Indian states and three union territories in 17 languages. The sample includes interviews with 22,975 Hindus, 3,336 Muslims, 1,782 Sikhs, 1,011 Christians, 719 Buddhists and 109 Jains. An additional 67 respondents belong to other religions or are religiously unaffiliated. Six groups were targeted for oversampling as part of the survey design: Muslims, Christians, Sikhs, Buddhists, Jains and those living in the Northeast region. Interviews were conducted under the direction of RTI International from November 17, 2019, to March 23, 2020. Data collection used computer-assisted personal interviews (CAPI) after random selection of households.

This project was produced by Pew Research Center as part of the Pew-Templeton Global Religious Futures project, which analyzes religious change and its impact on societies around the world. Funding for the Global Religious Futures project comes from The Pew Charitable Trusts and the John Templeton Foundation.

Two reports focused on the findings from this data: •Religion in India: Tolerance and Segregation: https://www.pewresearch.org/religion/2021/06/29/religion-in-india-tolerance-and-segregation/ •How Indians View Gender Roles in Families and Society: https://www.pewresearch.org/religion/2022/03/02/how-indians-view-gender-roles-in-families-and-society/

World religion data in this dataset is from the World Religion Database.The map shows the percentage of the majority religion by provinces/states and also included in the database is Christian percentage by provinces/states. Boundaries are based on Natural Earth, August, 2011 modified to match provinces in the World Religion Database.*Originally titled

Metadata for MammalDIET_v1.0A comprehensive global dataset of diet preferences of mammals (‘MammalDIET’). Diet information was digitized from the literature and extrapolated for species with missing information. The original and extrapolated data cover species-level diet information for >99% of all terrestrial mammals.MammalDIET_v1.0.txt

No description is available. Visit https://dataone.org/datasets/d0017adf1a9c4279b8e6948193ee1aa1 for complete metadata about this dataset.

List of Christian denominations enrolled in the study and rate of condom recommendation. (DOCX)

This item contains places of worship layer from OSM (OpenStreetMap) in India and contains information about Buddhist, Christian, Christian Anglican, Christian Catholic etc.OSM is a collaborative, open project to create a freely available and editable map of the world. Geographic information about streets, rivers, borders, points of interest and areas are collected worldwide and stored in a freely accessible database. Everyone can participate and contribute to OSM. The geographic information available on OSM relies entirely on volunteers or contributors.The attributes are given below:BuddhistChristianChristian AnglicanChristian CatholicChristian EvangelicalChristian LutheranChristian MethodistChristian OrthodoxChristian ProtestantHinduJewishMuslimMuslim ShiaMuslim SunniSikhTaoistThese map layers are offered by Esri India Content. If you have any questions or comments, please let us know via content@esri.in.

No description is available. Visit https://dataone.org/datasets/06021d35066ca798efaa416f3587e287 for complete metadata about this dataset.

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No description is available. Visit https://dataone.org/datasets/f0e5b65cf5e9accd996e12aab4841e2a for complete metadata about this dataset.

No description is available. Visit https://dataone.org/datasets/d14cc8b8ccc9d118f82c5caa6b2e7a8f for complete metadata about this dataset.

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