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 Regional Religion Dataset: The unit of analysis is the region, measured at five-year intervals. The Correlates of War regional breakdown is used with one modification: the Oceania category is added for Correlates of War nation numbers 900 and above.

This comprehensive multi-national survey, conducted by the Pew Research Center from April to August 2017, provides a detailed and nuanced portrait of Christian identity, belief, and practice across Western Europe. The study explores the striking contrast between widespread belonging to Christian denominations (through culture, history, and baptism) and often shallow levels of religious practice and belief. It examines what "being Christian" means in some of the world's most secular and post-Christian societies, analyzing attitudes on national identity, immigration, morality, and the role of religion in the public sphere. The data is essential for understanding the evolution of faith in a region where Christianity is more a cultural heritage for many than a practiced belief.

About this dataset

Context

The dataset tabulates the population of Pass Christian by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Pass Christian. The dataset can be utilized to understand the population distribution of Pass Christian by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Pass Christian. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Pass Christian.

Key observations

Largest age group (population): Male # 5-9 years (316) | Female # 10-14 years (317). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Pass Christian population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Pass Christian is shown in the following column.
• Population (Female): The female population in the Pass Christian is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Pass Christian for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Pass Christian Population by Gender. You can refer the same here

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."

This source hails from the earlier years of large-scale survey research in Britain, with the electronic data file created following scanning of and data capture from original survey returns. The data collection provides insight into the lifestyles and religiosity of urban young people, predominantly working-class, at the dawn of the affluent society. It comprises a stratified random sample survey of the religious, social and associational lives of young people aged 15-24 in urban England in 1957. It was designed and fielded by the Newman Demographic Survey, a private research institute directed by religious sociologist Tony Spencer, in collaboration with Young Christian Workers, a faith-based youth organisation. The investigators aimed to yield a sample of English urban youth which would include at least 1000 Catholic respondents, representing all English Catholic dioceses. 8196 was achieved, of which following some apparently random data loss 5834 were of sufficient quality for scanning and data capture in 2010. The survey instrument consisted primarily of closed-form items piloted in Gateshead, Highgate and Manchester, and was designed following correspondence with specialist survey experts: Len England (1901-1999), Director of Mass Observation; Leslie Austen, director of Social Surveys (Gallup Poll) Ltd; and W.L. Readman at the National Food Survey at the Ministry of Agriculture, Fisheries and Food. John Mandeville of the British Tabulating Machine Company, a British-based company operating under licence to IBM, also provided advice to the survey investigators. The electoral register was used as the sampling frame, using a version of the 'nth page' method. To prevent interviewer fatigue, about half of the respondents (70% of Anglicans) completed a short version of the questionnaire, covering items on leisure and religious belief, while the remainder completed a longer version including items on associational memberships, schooling, religious attendance and practice, marital status, and parental country and religion of origin. Some written-in responses (on leisure, religious affiliation, associational memberships and occupation) have been captured. Design and post-stratification weights have been calculated for users.

Abstract copyright UK Data Service and data collection copyright owner. This source hails from the earlier years of large-scale survey research in Britain, with the electronic data file created following scanning of and data capture from original survey returns. The data collection provides insight into the lifestyles and religiosity of urban young people, predominantly working-class, at the dawn of the affluent society. It comprises a stratified random sample survey of the religious, social and associational lives of young people aged 15-24 in urban England in 1957. It was designed and fielded by the Newman Demographic Survey, a private research institute directed by religious sociologist Tony Spencer, in collaboration with Young Christian Workers, a faith-based youth organisation. The investigators aimed to yield a sample of English urban youth which would include at least 1000 Catholic respondents, representing all English Catholic dioceses. 8196 was achieved, of which following some apparently random data loss 5834 were of sufficient quality for scanning and data capture in 2010. The survey instrument consisted primarily of closed-form items piloted in Gateshead, Highgate and Manchester, and was designed following correspondence with specialist survey experts: Len England (1901-1999), Director of Mass Observation; Leslie Austen, director of Social Surveys (Gallup Poll) Ltd; and W.L. Readman at the National Food Survey at the Ministry of Agriculture, Fisheries and Food. John Mandeville of the British Tabulating Machine Company, a British-based company operating under licence to IBM, also provided advice to the survey investigators. The electoral register was used as the sampling frame, using a version of the 'nth page' method. To prevent interviewer fatigue, about half of the respondents (70% of Anglicans) completed a short version of the questionnaire, covering items on leisure and religious belief, while the remainder completed a longer version including items on associational memberships, schooling, religious attendance and practice, marital status, and parental country and religion of origin. Some written-in responses (on leisure, religious affiliation, associational memberships and occupation) have been captured. Design and post-stratification weights have been calculated for users. Main Topics: The religious, social and associational lives of young people aged 15-24 in urban England in 1957; their domestic circumstances, educational background and current working status. Multi-stage stratified random sample The investigators aimed to stratify the sample, at the first stage by the populations of urban areas by standard (now Government Office) region aged 15-24 as enumerated in the 1951 Census. Within each standard region they originally stratified according to the size of total population of boroughs, districts and local authorities as of 30 June 1955 divided as follows: 500,000 and more; 100,000-499,999; 50,000-99,999; 10,000-49,999; fewer than 10,000. Due to resource constraints, a first compromise was the decision not to cover authorities with smaller populations, as essentially comprising large villages and market towns. The sample universe was accordingly 'persons, in urban areas of England with population exceeding 50,000, age 15 to 24 inclusive'. The original aspiration to sample boroughs randomly was next abandoned as too resource-intensive. It had originally been hoped that the 'flying squad method' could be used, with smaller numbers of YCW volunteers travelling to areas where they were poorly-represented by car. Instead, boroughs were identified from a list of towns where the YCW had sections strong enough to field the survey without extensive additional help. Accordingly this probably introduced some bias in that the YCW was undoubtedly stronger in towns with higher proportions of Catholics and more active churches, congregations and clergy. This may reduce external validity somewhat. Within these boroughs, the electoral register was used as the sampling frame, using a version of the 'nth page' method. Where a household hosted more than one young person aged 15-24, it is not clear from the notes for interviewers how they were sampled. The number of residents aged 15-24 was however recorded for the creation of design weights. Face-to-face interview

About this dataset

Context

The dataset tabulates the Pass Christian population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Pass Christian across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Pass Christian was 6,255, a 1.97% increase year-by-year from 2022. Previously, in 2022, Pass Christian population was 6,134, an increase of 4.18% compared to a population of 5,888 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Pass Christian decreased by 363. In this period, the peak population was 6,950 in the year 2005. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Pass Christian is shown in this column.
• Year on Year Change: This column displays the change in Pass Christian population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Pass Christian Population by Year. You can refer the same here

The census is undertaken by the Office for National Statistics every 10 years and gives us a picture of all the people and households in England and Wales. The most recent census took place in March of 2021.The census asks every household questions about the people who live there and the type of home they live in. In doing so, it helps to build a detailed snapshot of society. Information from the census helps the government and local authorities to plan and fund local services, such as education, doctors' surgeries and roads.Key census statistics for Leicester are published on the open data platform to make information accessible to local services, voluntary and community groups, and residents.Further information about the census and full datasets can be found on the ONS website - https://www.ons.gov.uk/census/aboutcensus/censusproductsReligionThis dataset provides Census 2021 estimates that classify usual residents in England and Wales by religion. The estimates are as at Census Day, 21 March 2021.Definition: The religion people connect or identify with (their religious affiliation), whether or not they practice or have belief in it.This question was voluntary and the variable includes people who answered the question, including 'No Religion', alongside those who chose not to answer this question.This variable classifies responses into the eight tick-box response options. Write-in responses are classified by their "parent" religious affiliation, including 'No Religion', where applicable.This dataset contains details for Leicester City and England overall. There is also a dashboard that has been produced to show a selection of Census statistics for the city of Leicester which can be viewed here: Census 21 - Leicester dashboard.

The survey experiment data was collected by the polling company YouGov Denmark, who have access to large panels of respondents in each of the two countries. 1000 respondents in each country who identified as Christian, Protestant or Catholic when asked what religion, if any, they belong to in a screening question were entered into the full questionnaire. YouGov collects information on the gender, age, geographic region and education of their panel respondents, and the sample is representative, and weighted according to these characteristics. The questionnaire was designed in English and translated and back translated to Dutch and Danish respectively to ensure the similarity of meaning in the different languages. The survey experiment was conducted as a 2x2x2 design, with Country, Prime and Frame being the distinguishing variables. Prime: In each country participants were divided into two equally sized groups. Each group was primed with a brief statement about either the Uncontrollability of their financial future, or their Control over their financial future. In each condition they were also asked to provide three reasons (in their own words) why they were either in control or not in control of their financial future. Frame: The participants were then given 10 statements about their religiosity to answer on a scale from (0) "Do not agree at all" to (10) "Completely agree". Each participant was presented with one of two different frames:The collective identity frame includes statements such as: "I consider myself a Christian because: I am Danish / Dutch, I celebrate Christmas, I was Baptised, My mother and/or father are Christian". The personal identity frame includes statements such as: "I consider myself a Christian because I have a personal relationship with God, I believe in an afterlife, I am a spiritual person". A number of sociological and psychological studies have shown that situations of insecurity and threat could increase religious in-group identification. The proposed research project investigates whether between-country differences in Christian identity, would be strengthened by priming participants with salience of threat to the national economy. A survey experiment will be conducted on a large representative sample of self-defined Christians from the Netherlands and Denmark, two countries with marked difference in the relationship between religious and national identity. Our hypothesis is that these differences would be heightened in a situation of threat salience. Specifically, we predict that people primed with control threat will describe their religion more in terms of collective identity in Denmark, and personal identity in the Netherlands. The method of data collection is Online survey. The respondents were members of the YouGov Panel in Denmark, or the partner organisation's panel in the Netherlands. The target group of the survey was Christians 18-74 years old, national representative on gender, age, geography and education. Invitations were sent out via email to people who meet these conditions in The YouGov Panel. The survey was selected to a sampling frame that ensured correct population proportions according to the target group. In Denmark, a total of 2113 interviews were conducted, of which 1006 are within the target group. In the Netherlands, A total of 1317 interviews were conducted, of which 1008 are within the target group.

This Religion and State-Minorities (RASM) dataset is supplemental to the Religion and State Round 2 (RAS2) dataset. It codes the RAS religious discrimination variable using the minority as the unit of analysis (RAS2 uses a country as the unit of analysis and, is a general measure of all discrimination in the country). RASM codes religious discrimination by governments against all 566 minorities in 175 countries which make a minimum population cut off. Any religious minority which is at least 0.25 percent of the population or has a population of at least 500,000 (in countries with populations of 200 million or more) are included. The dataset also includes all Christian minorities in Muslim countries and all Muslim minorities in Christian countries for a total of 597 minorities. The data cover 1990 to 2008 with yearly codings.

These religious discrimination variables are designed to examine restrictions the government places on the practice of religion by minority religious groups. It is important to clarify two points. First, these variables focus on restrictions on minority religions. Restrictions that apply to all religions are not coded in this set of variables. This is because the act of restricting or regulating the religious practices of minorities is qualitatively different from restricting or regulating all religions. Second, this set of variables focuses only on restrictions of the practice of religion itself or on religious institutions and does not include other types of restrictions on religious minorities. The reasoning behind this is that there is much more likely to be a religious motivation for restrictions on the practice of religion than there is for political, economic, or cultural restrictions on a religious minority. These secular types of restrictions, while potentially motivated by religion, also can be due to other reasons. That political, economic, and cultural restrictions are often placed on ethnic minorities who share the same religion and the majority group in their state is proof of this.

This set of variables is essentially a list of specific types of religious restrictions which a government may place on some or all minority religions. These variables are identical to those included in the RAS2 dataset, save that one is not included because it focuses on foreign missionaries and this set of variables focuses on minorities living in the country. Each of the items in this category is coded on the following scale:

0. The activity is not restricted or the government does not engage in this practice.
1. The activity is restricted slightly or sporadically or the government engages in a mild form of this practice or a severe form sporadically.
2. The activity is significantly restricted or the government engages in this activity often and on a large scale.

A composite version combining the variables to create a measure of religious discrimination against minority religions which ranges from 0 to 48 also is included.

ARDA Note: This file was revised on October 6, 2017. At the PIs request, we removed the variable reporting on the minority's percentage of a country's population after finding inconsistencies with the reported values. For detailed data on religious demographics, see the "/data-archive?fid=RCSREG2" Target="_blank">Religious Characteristics of States Dataset Project.

World Religions Across Regions

Analyzing Adherence Across Regions, States and the Global System

By Correlates of War Project [source]

About this dataset

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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How to use the dataset

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.

Research Ideas

• 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

Acknowledgements

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

License

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.

Columns

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 ...

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. Data collected by a combination of ethnographic methods, including deep hanging out, participant observation, and informal conversations.

The census is undertaken by the Office for National Statistics every 10 years and gives us a picture of all the people and households in England and Wales. The most recent census took place in March of 2021.The census asks every household questions about the people who live there and the type of home they live in. In doing so, it helps to build a detailed snapshot of society. Information from the census helps the government and local authorities to plan and fund local services, such as education, doctors' surgeries and roads.Key census statistics for Leicester are published on the open data platform to make information accessible to local services, voluntary and community groups, and residents.Further information about the census and full datasets can be found on the ONS website - https://www.ons.gov.uk/census/aboutcensus/censusproductsReligionThis dataset provides Census 2021 estimates that classify usual residents in England and Wales by religion. The estimates are as at Census Day, 21 March 2021.Definition: The religion people connect or identify with (their religious affiliation), whether or not they practice or have belief in it.This question was voluntary and the variable includes people who answered the question, including 'No Religion', alongside those who chose not to answer this question.This variable classifies responses into the eight tick-box response options. Write-in responses are classified by their "parent" religious affiliation, including 'No Religion', where applicable.This dataset contains details for Leicester City and England overall.

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/

These datasets provide datasets on the religion people connect or identify with (their religious affiliation), whether or not they practise or have belief in it, by age and sex using Census 2021 data.

Religious groups in the detailed religion classification

The counts for religious groups identified in the Religion (detailed) in England and Wales dataset are a representation of those who chose to write in their religion. Some people may have chosen to describe a denomination of one of the tick-box responses (for example, Catholic as a denomination of Christian or Orthodox as a denomination of Jewish) through the "Any other religion" write-in response option.

2011 Religion data

In 2011, an error in the processing of census data led to the number of usual residents in the “Religion not stated” category being overestimated by a total of 62,000 for the following three local authorities combined: Camden, Islington, and Tower Hamlets.

In February 2015, the ONS published corrected figures for estimates based on the tick-box classification. However, it could not be corrected for the detailed religion classification because the processing and relationships with other output variables are so complex.

For this reason, only apply comparisons for these three local authorities to the tick-box classification, using the corrected figures set out in the ONS 2011 Census products: Issues and corrections notice.

For this publication, where corrected figures for the tick-box classification from the 2011 Census are available, they have been used. Where they are not (for single year of age by sex), the ONS has used data from the CT0291_2011 commissioned table.

Abstract copyright UK Data Service and data collection copyright owner. In 2010 the Evangelical Alliance began a major research programme which would enable it to understand more fully the lives and concerns of its constituency of Evangelical Christians across the United Kingdom. In 2010 over 17,000 people, connected in some way with evangelical churches and networks, completed a questionnaire about their beliefs, religious practices, opinions on political and moral questions and on their involvement and activism in the community. Over 12,500 of them defined themselves as Evangelical Christians. Paper questionnaires were distributed at major Christian events and festivals, and through a sample of Evangelical Alliance member churches across the UK. Subsequently a research panel, recruited in the first place from the 17,000 has been asked to take part in online surveys four times each year, with each wave of the survey concentrating on a specific theme or topic known to be of interest to the Alliance and/or its member organisations and churches. In the first online survey conducted around Easter 2011 over 1,150 people responded, in the Church Life survey carried out in November 2012 over 1,864 replies were analysed. Further information is available on the Evangelical Alliance 21st Century Evangelicals webpages. End User Licence and Special Licence data: Users should note that there are two versions of each Twenty-First Century Evangelicals study. One is available under the standard End User Licence (EUL) agreement (SN 7787), and the other is a Special Licence (SL) version (SN 7786). The SL version contains the text responses to the open-ended questions. The EUL version excludes the text responses to the open-ended questions. The SL data have more restrictive access conditions than those made available under the standard EUL. Prospective users of the SL version will need to complete an extra application form and demonstrate to the data owners exactly why they need access to the additional variables in order to get permission to use that version. Therefore, users are strongly advised to order the standard version of the data. Latest edition information: For the fourth edition (February 2017), data and documentation for a new survey have been added. The survey has the theme of 'Religions, Belief and Unbelief' and covers views of secularism, religious diversity and interfaith relations. Further information is available from an article published in the IDEA magazine. Main Topics: The surveys carried out between 2010 and 2016 cover the following topics: Christian spirituality and learningemployment issueslife in the churchexperiences of and attitudes about schooling and educationevangelismfinancial matters and povertyinternational and global links and issuesuse of old and new mediaexperience of and views about contemporary familiesfaith in politics and voting intentions and issues pre-2015 electionlocal community and neighbourhoodsbasic beliefs, religious practices and civic involvementhealth and wellbeingethical consumerism church leaders and their church’s approach to Evangelismdifferent life experiences of the different generations, from boomers born before 1960 to millennials born in the 1990s'what is Evangelicalism?' to coincide with the 170th anniversary of the foundationsecularism, religious diversity and interfaith relations Simple random sample Self-completion Internet-based survey

Dataset

This dataset was created by Ananthram Vijayaraj

Contents

These datasets provide datasets on the religion people connect or identify with (their religious affiliation), whether or not they practise or have belief in it, by age and sex using Census 2021 data.

Religious groups in the detailed religion classification

The counts for religious groups identified in the Religion (detailed) in England and Wales dataset are a representation of those who chose to write in their religion. Some people may have chosen to describe a denomination of one of the tick-box responses (for example, Catholic as a denomination of Christian or Orthodox as a denomination of Jewish) through the "Any other religion" write-in response option.

2011 Religion data

In 2011, an error in the processing of census data led to the number of usual residents in the “Religion not stated” category being overestimated by a total of 62,000 for the following three local authorities combined: Camden, Islington, and Tower Hamlets.

In February 2015, the ONS published corrected figures for estimates based on the tick-box classification. However, it could not be corrected for the detailed religion classification because the processing and relationships with other output variables are so complex.

For this reason, only apply comparisons for these three local authorities to the tick-box classification, using the corrected figures set out in the ONS 2011 Census products: Issues and corrections notice.

For this publication, where corrected figures for the tick-box classification from the 2011 Census are available, they have been used. Where they are not (for single year of age by sex), the ONS has used data from the CT0291_2011 commissioned table.

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.

This dataset provides Census 2021 estimates that classify households in Birmingham constituencies by religious group. The estimates are as at Census Day, 21 March 2021.The religion question in the Census refers to the religion people connect or identify with (their religious affiliation), whether or not they practise or have belief in it.CoverageThis dataset is focused on the data for Birmingham at 2021 constituency level. About the 2021 CensusThe Census takes place every 10 years and gives us a picture of all the people and households in England and Wales.Protecting personal dataThe ONS sometimes need to make changes to data if it is possible to identify individuals. This is known as statistical disclosure control. In Census 2021, they:Swapped records (targeted record swapping), for example, if a household was likely to be identified in datasets because it has unusual characteristics, they swapped the record with a similar one from a nearby small area. Very unusual households could be swapped with one in a nearby local authority.Added small changes to some counts (cell key perturbation), for example, we might change a count of four to a three or a five. This might make small differences between tables depending on how the data are broken down when they applied perturbation.For more geographies, aggregations or topics see the link in the Reference below. Or, to create a custom dataset with multiple variables use the ONS Create a custom dataset tool.