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.
By Correlates of War Project [source]
The World Religion Project (WRP) is an ambitious endeavor to conduct a comprehensive analysis of religious adherence throughout the world from 1945 to 2010. This cutting-edge project offers unparalleled insight into the religious behavior of people in different countries, regions, and continents during this time period. Its datasets provide important information about the numbers and percentages of adherents across a multitude of different religions, religion families, and non-religious affiliations.
The WRP consists of three distinct datasets: the national religion dataset, regional religion dataset, and global religion dataset. Each is focused on understanding individually specific realms for varied analysis approaches - from individual states to global systems. The national dataset provides data on number of adherents by state as well as percentage population practicing a given faith group in five-year increments; focusing attention to how this number evolves from nation to nation over time. Similarly, regional data is provided at five year intervals highlighting individual region designations with one modification – Pacific Ocean states have been reclassified into their own Oceania category according to Country Code Number 900 or above). Finally at a global level – all states are aggregated in order that we may understand a snapshot view at any five-year interval between 1945‐2010 regarding relationships between religions or religio‐families within one location or transnationally.
This project was developed in three stages: firstly forming a religions tree (a systematic classification), secondly collecting data such as this provided by WRP according to that classification structure – lastly cleaning the data so discrepancies may be reconciled and imported where needed with gaps selected when unknown values were encountered during collection process . We would encourage anyone wishing details undergoing more detailed reading/analysis relating various use applications for these rich datasets - please contact Zeev Maoz (University California Davis) & Errol A Henderson _(Pennsylvania State University)
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The World Religions Project (WRP) dataset offers a comprehensive look at religious adherence around the world within a single dataset. With this dataset, you can track global religious trends over a period of 65 years and explore how they’ve changed during that time. By exploring the WRP data set, you’ll gain insight into cross-regional and cross-time patterns in religious affiliation around the world.
- Analyzing historical patterns of religious growth and decline across different regions
- Creating visualizations to compare religious adherence in various states, countries, or globally
- Studying the impact of governmental policies on religious participation over time
If you use this dataset in your research, please credit the original authors. Data Source
License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.
File: WRP regional data.csv | Column name | Description | |:-----------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------| | Year | Reference year for data collection. (Integer) | | Region | World region according to Correlates Of War (COW) Regional Systemizations with one modification (Oceania category for COW country code ...
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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."
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In this dataset, you will find information about the billions of religious believers and their population's growth over a 65 year time period from 1945 to 2010.
This dataset comes from https://data.world/cow/world-religion-data.
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
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Census: Population: by Religion: Christian: Punjab: Female data was reported at 166,189.000 Person in 03-01-2011. This records an increase from the previous number of 138,127.000 Person for 03-01-2001. Census: Population: by Religion: Christian: Punjab: Female data is updated decadal, averaging 152,158.000 Person from Mar 2001 (Median) to 03-01-2011, with 2 observations. The data reached an all-time high of 166,189.000 Person in 03-01-2011 and a record low of 138,127.000 Person in 03-01-2001. Census: Population: by Religion: Christian: Punjab: Female data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAE004: Census: Population: by Religion: Christian.
A dataset of the religious dimensions of conflicts, 1946-2004.
In December 2009, Pew Research Center released 'Global Restrictions on Religion,' the first in a series of annual reports on a data-coding project that seeks to measure levels of government restrictions on religion and social hostilities involving religion around the world. The reports use two indexes to rate nearly 200 countries and self-governing territories on their levels of restrictions and hostilities. The Government Restrictions Index (GRI) is based on 20 indicators of ways that national and local governments restrict religion, including through coercion and force. The Social Hostilities Index (SHI) is based on 13 indicators of ways in which private individuals and social groups infringe upon religious beliefs and practices, including religiously biased crimes, mob violence and efforts to stop particular religious groups from growing or operating. The reports include data on the number and types of documented incidents of religion-related violence, including terrorism and armed conflict. As of June 2018, Pew Research had published nine reports on global restrictions on religion, analyzing a total of 10 years' worth of data (the first two reports covered a total of three years, from 2007 to 2009). The data are presented as a semiwide-format dataset, in which each row is a country-year observation (for example, 'Afghanistan, 2007'). The columns contain all of the variables presented in Pew Research Center's annual reports on restrictions on religion, as well as some additional variables analyzed in separate studies. The dataset currently contains data from 2007 through 2016.
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This dataset is about books. It has 1 row and is filtered where the book is Political secularism, religion, and the state : a time series analysis of worldwide data. It features 7 columns including author, publication date, language, and book publisher.
This contains all the datasets and scripts used for the analysis conducted in the PhD Thesis: Religious Diversity, Accommodation and Governance in Europe. The timeframe covered is 2007 until 2014 for EU member countries. It includes indicators from the Religion and the State Round 3 Project and the Global Restrictions on Religion dataset later used for the creation of the Religious Accommodation Indicator.
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Census: Population: by Religion: Christian: Lakshadweep: Male data was reported at 286.000 Person in 03-01-2011. This records a decrease from the previous number of 422.000 Person for 03-01-2001. Census: Population: by Religion: Christian: Lakshadweep: Male data is updated decadal, averaging 354.000 Person from Mar 2001 (Median) to 03-01-2011, with 2 observations. The data reached an all-time high of 422.000 Person in 03-01-2001 and a record low of 286.000 Person in 03-01-2011. Census: Population: by Religion: Christian: Lakshadweep: Male data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAE004: Census: Population: by Religion: Christian.
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The RNCw-Data Set comprises multiple variables relating to the role of national identity and of religion in the national constitutions of 189 countries worldwide. These variables were content-coded from those articles in the constitution texts that refer directly and explicitly to ‘religion’ and ‘nation’.
Countries covered in the data set needed to both be officially recognized by the UN and have a written, single-document constitution in order to be included. The countries not included (for different reasons throughout the list) are: Canada, Congo, Israel, Kosovo, New Zealand, Puerto Rico, San Marino, Saudi Arabia, South Sudan, Sudan, Taiwan and the United Kingdom.
The most recent text versions of constitutions considered here where those of the end of 2016, i.e., we are looking at a snapshot of the included constitutions as the stood in 2016. The analysed constitution texts were all pulled from constituteproject.org, which provided us with the English translations for all countries (except Congo, which is not available in English and thus was excluded from our data set).
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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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Census: Population: by Religion: Christian: Madhya Pradesh: Female data was reported at 107,985.000 Person in 03-01-2011. This records an increase from the previous number of 85,025.000 Person for 03-01-2001. Census: Population: by Religion: Christian: Madhya Pradesh: Female data is updated decadal, averaging 96,505.000 Person from Mar 2001 (Median) to 03-01-2011, with 2 observations. The data reached an all-time high of 107,985.000 Person in 03-01-2011 and a record low of 85,025.000 Person in 03-01-2001. Census: Population: by Religion: Christian: Madhya Pradesh: Female data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAE004: Census: Population: by Religion: Christian.
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.
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This dataset provides the Spanish New Living Translation (NTV) Bible, scraped from a publicly available online source. It offers a structured collection of the entire NTV Bible text, organised by book, chapter, and verse. This resource is ideal for various applications in natural language processing, linguistic analysis, and digital humanities, providing a valuable foundation for projects exploring religious texts, literature, and cultural studies.
The dataset is provided as a CSV file [2]. It contains the entire text of the Spanish NTV Bible, with records structured by book, chapter, and verse. The dataset comprises approximately 31,100 unique values across its various fields, representing individual verses of the Bible [3, 4]. Exact row counts are not specified but are indicated to be in the tens of thousands [3, 4].
This dataset is well-suited for a range of applications, including: * Natural Language Processing (NLP) tasks such as text analysis, sentiment analysis, and language modelling of religious texts [2]. * Linguistic research focusing on the Spanish language, particularly within a theological or literary context. * Digital humanities projects exploring religious literature, textual patterns, and cultural aspects of the Bible. * Educational tools for studying the Spanish NTV Bible. * Development of AI and Large Language Models (LLMs) requiring religious text corpora [5].
The dataset covers the entire Spanish New Living Translation (NTV) Bible [2]. Its scope is global, making it accessible and relevant worldwide [5]. There are no specific time ranges or demographic focuses, as it encompasses the complete biblical text.
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This dataset is beneficial for a wide array of users, including: * Academics and Researchers: For theological studies, linguistic analysis, and digital humanities projects. * Developers and Data Scientists: For building NLP models, text-mining applications, or integrating biblical text into software solutions. * Religious Organisations: For digital initiatives, content creation, or theological resources. * Students: For academic research and learning purposes related to Spanish language and religious texts.
Original Data Source: Biblia NTV (Spanish Bible NTV)
This survey was jointly designed by Zogby International and the University of Rochester. The survey measures theology, tolerance, religious leaders, religion in politics, religion in society, and personal practice in India, Peru, Russia, Saudi Arabia, South Korea, Israel, and the United States. In 2003, Zogby International conducted interviews of 600 adults in India (Hindu, Muslim); Peru (Roman Catholic); Russia (Russian Orthodox); Saudi Arabia (Muslim), and South Korea (Buddhist, Christian); 593 in Israel (Jewish, Muslim, Druze); and 795 in the United States (Catholic, Protestant). All interviews in India, Peru, Russia, Saudi Arabia, South Korea, and Israel were conducted face-to-face.
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Pew Research Center conducted random, probability-based surveys among 13,122 adults (ages 18 and older) across six South and Southeast Asian countries: Cambodia, Indonesia, Malaysia, Singapore, Sri Lanka and Thailand. Interviewing was carried out under the direction of Langer Research Associates. In Malaysia and Singapore, interviews were conducted via computer-assisted telephone interviewing (CATI) using mobile phones. In Cambodia, Indonesia, Sri Lanka and Thailand, interviews were administered face-to-face using tablet devices, also known as computer-assisted personal interviewing (CAPI). All surveys were conducted between June 1 and Sept. 4, 2022.
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 (grant 61640). This publication does not necessarily reflect the views of the John Templeton Foundation.
As of July 2024, one report has been published that focuses on the findings from this data: Buddhism, Islam and Religious Pluralism in South and Southeast Asia: https://www.pewresearch.org/religion/2023/09/12/buddhism-islam-and-religious-pluralism-in-south-and-southeast-asia/
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Pew Research Center conducted random probability-based surveys among a total of 10,390 adults (ages 18 and older) in five places: Hong Kong, Japan, South Korea, Taiwan and Vietnam. Interviewing in Japan, South Korea and Taiwan was carried out under the direction of Langer Research Associates, and interviewing in Hong Kong and Vietnam was carried out under the direction of D3 Systems. In Hong Kong, Japan, South Korea and Taiwan, interviews were conducted via computer-assisted telephone interviewing (CATI). In Vietnam, interviews were administered face-to-face using tablet devices, also known as computer-assisted personal interviewing (CAPI). All surveys were conducted between June 2 and Sept. 17, 2023.
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 (grant 62287). This publication does not necessarily reflect the views of the John Templeton Foundation.
As of June 2024, one report has been published that focuses on the findings from this data: Religion and Spirituality in East Asian Societies: https://www.pewresearch.org/religion/2024/06/17/religion-and-spirituality-in-east-asian-societies
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Global General Government Investment in Recreation, Culture and Religion by Country, 2023 Discover more data with ReportLinker!
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.