In 2020, around 28.8 percent of the global population were identified as Christian. Around 25.6 percent of the global population identify as Muslims, followed by 14.9 percent of global populations as Hindu. The number of Muslims increased by 347 million, when compared to 2010 data, more than all other religions combined.

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.

From 2022 to 2060, the worldwide population of Muslims is expected to increase by **** percent. For the same period, the global population of Buddhists is expected to decrease by **** percent.

In 2022, ** percent of Hindus and Buddhists worldwide lived in Asia-Pacific. In comparison, ** percent of Jews lived in North America, and **** percent lived in the Middle East and North Africa. Christians were more evenly divided around the continents.

As of 2020, Christianity was the largest religion in the world, with around *** billion believers. In the second place was Islam, with around *** billion adherents.

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

Among the people surveyed in 26 countries around the world, a slight majority of the baby boomer generation were Christians. By comparison, only 42 percent of Generation Z stated that they were Christians. Millennials was the generation with the highest share of people stating that they had a religious belief other than Islam and Christianity.

Content

The World Religion Project 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 for every half-decade period. Some of the religions are divided into religious families, and the breakdown of adherents within a given religion into religious families is provided to the extent data are available.

The project was developed in three stages. The first stage consisted of the formation of a religions 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 to define a religion, to find tangible indicators of a given religion of religious families within a major religion, and to identify existing efforts at classifying world religions. 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, yet 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.

Acknowledgements

The dataset was created by Zeev Maoz, University of California-Davis, and Errol Henderson, Pennsylvania State University, and published by the Correlates of War Project.

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."

"Between October 2011 and November 2012, Pew Research Center, with generous funding from The Pew Charitable Trusts and the John Templeton Foundation, conducted a public opinion survey involving more than 30,000 face-to-face interviews in 26 countries in Africa, Asia, the Middle East and Europe. The survey asked people to describe their religious beliefs and practices, and sought to gauge respondents; knowledge of and attitudes toward other faiths. It aimed to assess levels of political and economic satisfaction, concerns about crime, corruption and extremism, positions on issues such as abortion and polygamy, and views of democracy, religious law and the place of women in society.

"Although the surveys were nationally representative in most countries, the primary goal of the survey was to gauge and compare beliefs and attitudes of Muslims. The findings for Muslim respondents are summarized in the Religion & Public Life Project's reports The World's Muslims: Unity and Diversity and The World's Muslims: Religion, Politics and Society, which are available at www.pewresearch.org. [...] This dataset only contains data for Muslim respondents in the countries surveyed. Please note that this codebook is meant as a guide to the dataset, and is not the survey questionnaire." (2012 Pew Religion Worlds Muslims Codebook)

Financial overview and grant giving statistics of WORLD RELIGION FOUNDATION

The Religious Characteristics of States Dataset (RCS) was created to fulfill the unmet need for a dataset on the religious dimensions of countries of the world, with the state-year as the unit of observation. The third phase, Chief Executives' Religions, provides data on religious affiliations of countries' 'chief executives,' i.e., their presidents, prime ministers, or other heads of state/government exercising largely real, not ceremonial, political power. The dataset, like others in the RCS data project, is designed expressly for easy merger with datasets of the Correlates of War and Polity projects, datasets by the United Nations, the Religion And State datasets by Jonathan Fox, and the ARDA national profiles.

This statistic illustrates the projected growth of major religious groups from 2015 to 2060. In 2060, it is projected that there will be about *** billion Muslims worldwide, compared to *** billion Muslims in 2015.

This is not a public opinion survey, but a massive, ongoing data codification project by the Pew Research Center that measures how governments and societies around the world restrict religious beliefs and practices. By analyzing hundreds of sources for 198 countries and territories, Pew creates two seminal annual indexes: the Government Restrictions Index (GRI) and the Social Hostilities Index (SHI). This data set provides a quantitative, comparable benchmark to track trends in religious freedom, persecution, and the complex intersection of religion, law, and conflict on a global scale from 2007 to the present.

Population: by Religion: Muslim data was reported at 300.000 Person th in 2017. This stayed constant from the previous number of 300.000 Person th for 2016. Population: by Religion: Muslim data is updated yearly, averaging 90.000 Person th from Dec 1997 (Median) to 2017, with 21 observations. The data reached an all-time high of 300.000 Person th in 2017 and a record low of 70.000 Person th in 2004. Population: by Religion: Muslim data remains active status in CEIC and is reported by Hong Kong Yearbook. The data is categorized under Global Database’s Hong Kong – Table HK.G011: Population: By Religion.

The annual Report to Congress on International Religious Freedom � the International Religious Freedom Report � describes the status of religious freedom in every country. The report covers government policies violating religious belief and practices of groups, religious denominations and individuals, and U.S. policies to promote religious freedom around the world. The U.S. Department of State submits the reports in accordance with the International Religious Freedom Act of 1998.

This folder consists of files for a case study of the methods used by Pew Research Center to make direct and indirect estimates for our report on The Religious Composition of the World's Migrants. Two subfolders demonstrate the procedures of the algorithm using two statistical programs, which mirror one another.

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.

Content

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.

Acknowledgements

This dataset comes from https://data.world/cow/world-religion-data.

The RCS-Dem dataset reports estimates of religious demographics, both country by country and region by region. RCS was created to fulfill the unmet need for a dataset on the religious dimensions of countries of the world, with the state-year as the unit of observation. It covers 220 independent states, 26 selected substate entities, and 41 geographically separated dependencies, for every year from 2015 back to 1900 and often 1800 (more than 42,000 state-years). It estimates populations and percentages of adherents of 100 religious denominations including second level subdivisions within Christianity and Islam, along with several complex categories such as "Western Christianity." RCS is designed for easy merger with datasets of the Correlates of War and Polity projects, datasets by the United Nations, the Religion And State datasets by Jonathan Fox, and the ARDA national profiles.