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...

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...

Dataset Title: Reddit Religious Texts Classification Overview: This dataset contains text data extracted from Reddit posts related to various religions. Each row in the dataset represents a Reddit post, and it includes two main columns: "Document" containing the post text and "Subreddit" specifying the associated religious subreddit. Columns: Document: This column contains the text content of Reddit posts related to different religious discussions, experiences, and inquiries. Subreddit: The "Subreddit" column indicates the religious affiliation or topic associated with each post. It represents the subreddit to which the post belongs and serves as the ground truth label for classification tasks. Note: Dataset includes some data of few other subreddits like fitness, food etc. You can use it or drop it

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.

Overview

The World Religion Project (WRP) aims to provide detailed information about religious adherence worldwide from 1945 to 2010. 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,…, 2010). The data record percentages of the state’s population that practice a given religion. Some of the religions (as detailed in the Codebook) are divided into religious families. To the extent data are available, the breakdown of adherents within a given religion into religious families is also specified in the Codebook.

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. 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. The third stage consisted of cleaning the data, reconciling discrepancies of information from different sources, and imputing data for the missing cases.

Please see column description in the PDF file

Citations

Zeev Maoz and Errol A. Henderson. 2013. “The World Religion Dataset, 1945-2010: Logic, Estimates, and Trends.” International Interactions, 39: 265-291.

Data Sets

The WRP contains three datasets: the national religion dataset, the regional religion dataset, and the global religion dataset.

The National Religion Dataset. The unit of analysis in this dataset is the individual state, observed at five-year intervals. This dataset provides information regarding the number of adherents by religion, as well as the percent of the state’s population practicing a given religion.

The Regional Religion Dataset. The unit of analysis in this dataset is the region, observed at five-year intervals. This dataset utilizes the COW regional designations with one modification: the Oceania category for COW country code numbers 900 and above.

The Global Religion Dataset. The unit of analysis in this dataset is the global system, observed at five-year intervals. This dataset aggregates the number of adherents of a given religion and religious group for all states, globally.

Acknowlegement

Foto von James Coleman auf Unsplash

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.

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 ...

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.

Literature and art have long depicted God as a stern and elderly white man, but do people actually see Him this way? We use reverse correlation to understand how a representative sample of American Christians visualize the face of God, which we argue is indicative of how believers think about God’s mind. In contrast to historical depictions, Americans generally see God as young, Caucasian, and loving, but perceptions vary by believers’ political ideology and physical appearance. Liberals see God as relatively more feminine, more African American, and more loving than conservatives, who see God as older, more intelligent, and more powerful. All participants see God as similar to themselves on attractiveness, age, and, to a lesser extent, race. These differences are consistent with past research showing that people’s views of God are shaped by their group-based motivations and cognitive biases. Our results also speak to the broad scope of religious differences: even people of the same nationality and the same faith appear to think differently about God’s appearance.

Content: attitudes towards religious practices.Topics: assessment of personal happiness; attitudes towards pre-maritalsexual intercourse; attitudes towards committed adultery; attitudestowards homosexual relationships between adults; attitudes towardsabortion in case of serious disability or illness of the baby or lowincome of the family; attitudes towards gender roles in marriage; trustin institutions (parliament, business and industry, churches andreligious organizations, courts and the legal system, schools and theeducational system); mobility; attitudes towards the influence ofreligious leaders on voters and government; attitudes towards thebenefits of science and religion (scale: modern science does more harmthan good, too much trust in science and not enough in religious faith,religions bring more conflicts than peace, intolerance of people withvery strong religious beliefs); judgement on the power of churches andreligious organizations; attitudes towards equal rights for allreligious groups in the country and respect for all religions;acceptance of persons from a different religion or with differentreligious views in case of marrying a relative or being a candidate ofthe preferred political party (social distance); attitudes towards theallowance for religious extremists to hold public meetings and topublish books expressing their views (freedom of expression); doubt orfirm belief in God (deism, scale); belief in: a life after death,heaven, hell, religious miracles, reincarnation, Nirvana, supernaturalpowers of deceased ancestors; attitudes towards a higher truth andtowards meaning of life (scale: God is concerned with every human beingpersonally, little that people can do to change the course of theirlives (fatalism), life is meaningful only because God exists, life doesnot serve any purpose, life is only meaningful if someone provides themeaning himself, connection with God without churches or religiousservices); religious preference (affiliation) of mother, father andspouse/partner; religion respondent was raised in; frequency ofchurch attendance (of attendance in religious services) of father andmother; personal frequency of church attendance when young; frequencyof prayers and participation in religious activities; shrine, altar ora religious object in respondent’s home; frequency of visiting a holyplace (shrine, temple, church or mosque) for religious reasons exceptregular religious services; self-classification of personalreligiousness and spirituality; truth in one or in all religions;attitudes towards the profits of practicing a religion (scale: findinginner peace and happiness, making friends, gaining comfort in times oftrouble and sorrow, meeting the right kind of people).Optional items (not stated in all countries): questions in countrieswith an appreciable number of Evangelical Protestants): ´born-again´Christian; attitudes towards the Bible (or appropriate holy book);questions generally applicable for all countries: conversion of faithafter crucial experience; personal sacrifice as an expression of faithsuch as fasting or following a special diet during holy season such asLent or Ramadan; concept of God (semantic differential scale: mother -father, master - spouse, judge - lover, friend - king); belief in luckycharms, fortune tellers, faith healers and horoscopes; social rules orGod’s laws as basis for deciding between right and wrong; attitudestowards members of different religious groups (Christians, Muslims,Hindus, Buddhists, Jews, Atheists or non-believers.Demography: sex; age; marital status; steady life partner; years ofschooling; highest education level; country specific education anddegree; current employment status (respondent and partner); hoursworked weekly; occupation (ISCO 1988) (respondent and partner);supervising function at work; working for private or public sector orself-employed (respondent and partner); if self-employed: number ofemployees; trade union membership; earnings of respondent (countryspecific); family income (country specific); size of household;household composition; party affiliation (left-right); country specificparty affiliation; participation in last election; religiousdenomination; religious main groups; attendance of religious services;self-placement on a top-bottom scale; region (country specific); sizeof community (country specific); type of community: urban-rural area;country of origin or ethnic group affiliation.Additionally coded: administrative mode of data-collection; weightingfactor; case substitution. Einstellung zur religiösen Praxis.Themen: Einschätzung des persönlichen Glücksgefühls; Einstellung zuvorehelichem Geschlechtsverkehr und zu außerehelichemGeschlechtsverkehr (Ehebruch); Einstellung zu homosexuellen Beziehungenzwischen Erwachsenen; Einstellung zu Abtreibung im Falle vonBehinderung oder Krankheit des Babys und im Falle geringen Einkommensder Familie; Rollenverständnis in der Ehe; Institutionenvertrauen(Parlament, Unternehmen und Industrie, Kirche und religiöseOrganisationen, Gerichte und Rechtssystem, Schulen und Bildungssystem);eigene Mobilität; Einstellung zum Einfluss von religiösen Führern aufWähler und Regierung; Einstellung zu Wissenschaft und Religion (Skala:moderne Wissenschaft bringt mehr Schaden als Nutzen, zu viel Vertrauenin die Wissenschaft und zu wenig religiöses Vertrauen, Religionenbringen mehr Konflikte als Frieden, Intoleranz von Menschen mit starkenreligiösen Überzeugungen); Beurteilung der Macht von Kirchen undreligiösen Organisationen im Lande; Einstellung zur Gleichberechtigungaller religiösen Gruppen im Land und Respekt für alle Religionen;Akzeptanz einer Person anderen Glaubens oder mit unterschiedlichenreligiösen Ansichten als Ehepartner im Verwandtschaftskreis sowie alsKandidat der präferierten Partei (soziale Distanz); Einstellung zuröffentlichen Redefreiheit bzw. zum Publikationsrecht für religiöseExtremisten; Zweifel oder fester Glaube an Gott (Skala Deismus); Glaubean: ein Leben nach dem Tod, Himmel, Hölle, Wunder, Reinkarnation,Nirwana, übernatürliche Kräfte verstorbener Vorfahren; Einstellung zueiner höheren Wahrheit und zum Sinn des Lebens (Gott kümmert sich umjeden Menschen persönlich, nur wenig persönlicher Einfluss auf dasLeben möglich (Fatalismus), Leben hat nur einen Sinn aufgrund derExistenz Gottes, Leben dient keinem Zweck, eigenes Tun verleiht demLeben Sinn, persönliche Verbindung mit Gott ohne Kirche oderGottesdienste); Religion der Mutter, des Vaters und des Ehepartnersbzw. Partners; Religion, mit der der Befragte aufgewachsen ist;Kirchgangshäufigkeit des Vaters und der Mutter; persönlicheKirchgangshäufigkeit in der Jugend; Häufigkeit des Betens und derTeilnahme an religiösen Aktivitäten; Schrein, Altar oder religiösesObjekt (z.B. Kreuz) im Haushalt des Befragten; Häufigkeit des Besuchseines heiligen Ortes (Schrein, Tempel, Kirche oder Moschee) ausreligiösen Gründen; Selbsteinschätzung der Religiosität undSpiritualität; Wahrheit in einer oder in allen Religionen;Vorteilhaftigkeit der Ausübung einer Religion (Skala: inneren Friedenund Glück finden, Freundschaften schließen, Unterstützung inschwierigen Zeiten, Gleichgesinnte treffen).Optionale Items (nicht in allen Ländern ausgeführt): Fragen in Ländernmit einer bedeutenden Anzahl evangelikaler Protestanten: wiedergeboreneChristen; Einstellung zur Bibel; Fragen, die grundsätzlich für alleLänder anwendbar sind: Bekehrung zum Glauben nach einemSchlüsselerlebnis; persönliche Opfer als Ausdruck des Glaubens wieFasten oder Einhalten einer speziellen Diät während heiliger Zeiten wiez.B. Ramadan; Konzept von Gott (semantisches Differential:Mutter/Vater, Herr und Meister/Ehepartner, Richter/Liebender,Freund/König); Glaube an Glücksbringer, Wahrsager, Gesundbeter undHoroskope; demokratische oder göttliche Gesetze als Grundlage fürEntscheidungen zwischen richtig und falsch; Einstellung gegenüberverschiedenen religiösen Gruppen (Christen, Muslime, Hindus,Buddhisten, Juden, Atheisten oder Nicht-Gläubige).Demographie: Geschlecht; Alter; Familienstand; Zusammenleben mit einemPartner; Jahre der Schulbildung, höchster Bildungsabschluss;länderspezifischer Bildungsgrad; derzeitiger Beschäftigungsstatus desBefragten und seines Partners; Beruf (ISCO-88) des Befragten und seinesPartners; Vorgesetztenfunktion; Beschäftigung im privaten oderöffentlichen Dienst oder Selbständigkeit des Befragten und seinesPartners; Selbständige wurden gefragt: Anzahl der Beschäftigten;Gewerkschaftsmitgliedschaft; Einkommensquellen des Befragten(länderspezifisch), Haushaltseinkommen (länderspezifisch);Haushaltsgröße; Haushaltszusammensetzung; Parteipräferenz(links-rechts), länderspezifische Parteipräferenz; Wahlbeteiligung beider letzten Wahl; Konfession; Kirchgangshäufigkeit; Selbsteinstufungauf einer Oben-Unten-Skala; Region und Ortsgröße (länderspezifisch),Urbanisierungsgrad; Geburtsland und ethnische Herkunft.Zusätzlich verkodet wurde: Datenerhebungsart; Gewichtungsfaktoren.

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.

Data on religion by gender and age for the population in private households in Canada, provinces and territories.

Einstellung zur religiösen Praxis. Themen: Einschätzung des persönlichen Glücksgefühls; Einstellung zu vorehelichem Geschlechtsverkehr und zu außerehelichem Geschlechtsverkehr (Ehebruch); Einstellung zu homosexuellen Beziehungen zwischen Erwachsenen; Einstellung zu Abtreibung im Falle von Behinderung oder Krankheit des Babys und im Falle geringen Einkommens der Familie; Rollenverständnis in der Ehe; Personenvertrauen vs. Vorsicht im Umgang mit Menschen; Institutionenvertrauen (Parlament, Unternehmen und Industrie, Kirche und religiöse Organisationen, Gerichte und Rechtssystem, Schulen und Bildungssystem); eigene Mobilität; Einstellung zum Einfluss von religiösen Führern auf Wähler und Regierung; Einstellung zu Wissenschaft und Religion (Skala: moderne Wissenschaft bringt mehr Schaden als Nutzen, zu viel Vertrauen in die Wissenschaft und zu wenig religiöses Vertrauen, Religionen bringen mehr Konflikte als Frieden, Intoleranz von Menschen mit starken religiösen Überzeugungen); Beurteilung der Macht von Kirchen und religiösen Organisationen im Lande; Einstellung zur Gleichberechtigung aller religiösen Gruppen im Land und Respekt für alle Religionen; Akzeptanz einer Person anderen Glaubens oder mit unterschiedlichen religiösen Ansichten als Ehepartner im Verwandtschaftskreis sowie als Kandidat der präferierten Partei (soziale Distanz); Einstellung zur öffentlichen Redefreiheit bzw. zum Publikationsrecht für religiöse Extremisten; Zweifel oder fester Glaube an Gott (Skala Deismus); Glaube an: ein Leben nach dem Tod, Himmel, Hölle, Wunder, Reinkarnation, Nirwana, übernatürliche Kräfte verstorbener Vorfahren; Einstellung zu einer höheren Wahrheit und zum Sinn des Lebens (Gott kümmert sich um jeden Menschen persönlich, nur wenig persönlicher Einfluss auf das Leben möglich (Fatalismus), Leben hat nur einen Sinn aufgrund der Existenz Gottes, Leben dient keinem Zweck, eigenes Tun verleiht dem Leben Sinn, persönliche Verbindung mit Gott ohne Kirche oder Gottesdienste); Religion der Mutter, des Vaters und des Ehepartners bzw. Partners; Religion, mit der der Befragte aufgewachsen ist; Kirchgangshäufigkeit des Vaters und der Mutter; persönliche Kirchgangshäufigkeit in der Jugend; Häufigkeit des Betens und der Teilnahme an religiösen Aktivitäten; Schrein, Altar oder religiöses Objekt (z.B. Kreuz) im Haushalt des Befragten; Häufigkeit des Besuchs eines heiligen Ortes (Schrein, Tempel, Kirche oder Moschee) aus religiösen Gründen; Selbsteinschätzung der Religiosität und Spiritualität; Wahrheit in einer oder in allen Religionen; Vorteilhaftigkeit der Ausübung einer Religion (Skala: inneren Frieden und Glück finden, Freundschaften schließen, Unterstützung in schwierigen Zeiten, Gleichgesinnte treffen). Optionale Items (nicht in allen Ländern ausgeführt): wiedergeborene Christen; Einstellung zur Bibel; Fragen, die grundsätzlich für alle Länder anwendbar sind: Bekehrung zum Glauben nach einem Schlüsselerlebnis; persönliche Opfer als Ausdruck des Glaubens wie Fasten oder Einhalten einer speziellen Diät während heiliger Zeiten wie z.B. Ramadan; Konzept von Gott (semantisches Differential: Mutter/Vater, Herr und Meister/Ehepartner, Richter/Liebender, Freund/König); Glaube an Glücksbringer, Wahrsager, Gesundbeter und Horoskope; Entscheidungskriterien für persönliches Handeln (Gesetzte oder religiöse Prinzipien); Einstellung gegenüber verschiedenen religiösen Gruppen (Christen, Muslime, Hindus, Buddhisten, Juden, Atheisten oder Nicht-Gläubige). Demographie: Geschlecht; Alter; Familienstand; Zusammenleben mit einem Partner; Jahre der Schulbildung, höchster Bildungsabschluss; länderspezifischer Bildungsgrad; derzeitiger Beschäftigungsstatus des Befragten und seines Partners; Wochenarbeitszeit; Beruf (ISCO-88) des Befragten und seines Partners; Vorgesetztenfunktion; Beschäftigung im privaten oder öffentlichen Dienst oder Selbständigkeit des Befragten und seines Partners; Selbständige wurden gefragt: Anzahl der Beschäftigten; Gewerkschaftsmitgliedschaft; Einkommensquellen des Befragten (länderspezifisch), Haushaltseinkommen (länderspezifisch); Haushaltsgröße; Haushaltszusammensetzung; Parteipräferenz (links-rechts), länderspezifische Parteipräferenz; Wahlbeteiligung bei der letzten Wahl; Konfession; Kirchgangshäufigkeit; Selbsteinstufung auf einer Oben-Unten-Skala; Region und Ortsgröße (länderspezifisch), Urbanisierungsgrad; Geburtsland und ethnische Herkunft. Zusätzlich verkodet wurde: Datenerhebungsart; Gewichtungsfaktoren; case substitution. Content: attitudes towards religious practices. Topics: assessment of personal happiness; attitudes towards pre-marital sexual intercourse; attitudes towards committed adultery; attitudes towards homosexual relationships between adults; attitudes towards abortion in case of serious disability or illness of the baby or low income of the family; attitudes towards gender roles in marriage; people can be trusted vs. can´t be too careful in dealing with people; trust in institutions (parliament, business and industry, churches and religious organizations, courts and the legal system, schools and the educational system); mobility; attitudes towards the influence of religious leaders on voters and government; attitudes towards the benefits of science and religion (scale: modern science does more harm than good, too much trust in science and not enough in religious faith, religions bring more conflicts than peace, intolerance of people with very strong religious beliefs); judgement on the power of churches and religious organizations; attitudes towards equal rights for all religious groups in the country and respect for all religions; acceptance of persons from a different religion or with different religious views in case of marrying a relative or being a candidate of the preferred political party (social distance); attitudes towards the allowance for religious extremists to hold public meetings and to publish books expressing their views (freedom of expression); doubt or firm belief in God (deism, scale); belief in: a life after death, heaven, hell, religious miracles, reincarnation, Nirvana, supernatural powers of deceased ancestors; attitudes towards a higher truth and towards meaning of life (scale: God is concerned with every human being personally, little that people can do to change the course of their lives (fatalism), life is meaningful only because God exists, life does not serve any purpose, life is only meaningful if someone provides the meaning himself, connection with God without churches or religious services); religious preference (affiliation) of mother, father and spouse/partner; religion respondent was raised in; frequency of church attendance (of attendance in religious services) of father and mother; personal frequency of church attendance when young; frequency of prayers and participation in religious activities; shrine, altar or a religious object in respondent’s home; frequency of visiting a holy place (shrine, temple, church or mosque) for religious reasons except regular religious services; self-classification of personal religiousness and spirituality; truth in one or in all religions; attitudes towards the profits of practicing a religion (scale: finding inner peace and happiness, making friends, gaining comfort in times of trouble and sorrow, meeting the right kind of people). Optional items (not stated in all countries): ´born-again´ Christian; attitudes towards the Bible (or appropriate holy book); questions generally applicable for all countries: conversion of faith after crucial experience; personal sacrifice as an expression of faith such as fasting or following a special diet during holy season such as Lent or Ramadan; concept of God (semantic differential scale: mother - father, master - spouse, judge - lover, friend - king); belief in lucky charms, fortune tellers, faith healers and horoscopes; decision criteria for personal actions (laws or religious principles); attitudes towards members of different religious groups (Christians, Muslims, Hindus, Buddhists, Jews, Atheists or non-believers). Demography: sex; age; marital status; steady life partner; years of schooling; highest education level; country specific education and degree; current employment status (respondent and partner); hours worked weekly; occupation (ISCO 1988) (respondent and partner); supervising function at work; working for private or public sector or self-employed (respondent and partner); if self-employed: number of employees; trade union membership; earnings of respondent (country specific); family income (country specific); size of household; household composition; party affiliation (left-right); country specific party affiliation; participation in last election; religious denomination; religious main groups; attendance of religious services; self-placement on a top-bottom scale; region (country specific); size of community (country specific); type of community: urban-rural area; country of origin or ethnic group affiliation. Additionally coded: administrative mode of data-collection; weighting factor; case substitution.

"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)

This data file contains four national surveys completed between July 1994 and October 1995. Commissioned by The Pew Center for The People and The Press and conducted by the Princeton Survey Research Associates, the four surveys focus exclusively on religion and politics in America. Because many of the questions were repeated in two or more of the surveys, it is possible to trace changing public opinion over time.

This survey was sponsored by Pew Research Center for the People & the Press and conducted by Princeton Survey Research Associates. A national sample of 2,041 adults with an oversample of African Americans (The oversample included 197 African Americans.) were intereviewed on March 5-8, 2001. Major topics included: volunteerism; church and political matters; religion and its influence on American life; religious affiliation.

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at the Roper Center for Public Opinion Research at https://doi.org/10.25940/ROPER-31095741. We highly recommend using the Roper Center version as they may make this dataset available in multiple data formats in the future.

Data set from Moons P, Luyckx K, Dezutter J, Kovacs AH, Thomet C, Budts W, Enomoto J, Sluman MA, Yang HL, Jackson JL, Khairy P, Subramanyan R, Alday L, Eriksen K, Dellborg M, Berghammer M, Johansson B, Mackie AS, Menahem S, Caruana M, Veldtman G, Soufi A, Fernandes SM, White K, Callus E, Kutty S, Apers S; APPROACH-IS Consortium; International Society for Adult Congenital Heart Disease (ISACHD). Religion and spirituality as predictors of patient-reported outcomes in adults with congenital heart disease around the globe. Int J Cardiol. 2019 Jan 1;274:93-99. doi: 10.1016/j.ijcard.2018.07.103. Epub 2018 Jul 23. PMID: 30077534.

This is the abstract:

Aims: Religion and spirituality can be resources for internal strength and resilience, and may assist with managing life's challenges. Prior studies have been undertaken primarily in countries with high proportions of religious/spiritual people. We investigated (i) whether being religious/spiritual is an independent predictor of patient-reported outcomes (PROs) in a large international sample of adults with congenital heart disease, (ii) whether the individual level of importance of religion/spirituality is an independent predictor for PROs, and (iii) if these relationships are moderated by the degree to which the respective countries are religious or secular.

Methods and results: APPROACH-IS was a cross-sectional study, in which 4028 patients from 15 countries were enrolled. Patients completed questionnaires to measure perceived health status; psychological functioning; health behaviors; and quality of life. Religion/spirituality was measured using three questions: Do you consider yourself religious or spiritual?; How important is religion, spirituality, or faith in your life?; and If religious, to what religion do you belong?. The country level of religiosity/secularity was appraised using data from the Gallup Poll 2005-2009. General linear mixed models, adjusting for patient characteristics and country differences were applied. Overall, 49.2% of patients considered themselves to be religious/spiritual. Being religious/spiritual and considering religion/spirituality as important in one's life was positively associated with quality of life, satisfaction with life and health behaviors. However, among patients living in more secular countries, religion/spirituality was negatively associated with physical and mental health.

Conclusion: Religiosity/spirituality is an independent predictor for some PROs, but has differential impact across countries.

Keywords:;

This dataset contains the estimated religious composition of 198 countries and territories for 2010 to 2050.
The data is sourced from PEW RESEARCH CENTER . In original dataset the number and the percentage share of followers for some religions as "<10000" and "<10%". Because of technical limitations of the visualization tool, these values had to be changed into "10000".

data/rounded_population.csv

This file contains the number followers by religions and region for 2010 to 2050 | Column Name | Description | |-----------------|-------------------------------------------------------------------------------------------------| | Year | The year for which the data is recorded. | | Region | The region to which the country belongs. | | Country | The name of the country. | | Buddhists | The estimated number of Buddhists in the country for the given year. | | Christians | The estimated number of Christians in the country for the given year. | | Folk Religions | The estimated number of followers of folk religions in the country for the given year. | | Hindus | The estimated number of Hindus in the country for the given year. | | Jews | The estimated number of Jews in the country for the given year. | | Muslims | The estimated number of Muslims in the country for the given year. | | Other Religions | The estimated number of followers of other religions in the country for the given year. | | Unaffiliated | The estimated number of people with no religious affiliation in the country for the given year. |

data/rounded_percentage.csv

This file contains the percentage share of followers by religions and region for 2010 to 2050 | Column Name | Description | |------------------|------------------------------------------------------------------------------------------------| | Year | The year for which the data is recorded. | | Region | The region to which the country belongs. | | Country | The name of the country. | | Christians | The percentage share of Christians in the country's population for the given year. | | Muslims | The percentage share of Muslims in the country's population for the given year. | | Unaffiliated | The percentage share of people with no religious affiliation in the country's population. | | Hindus | The percentage share of Hindus in the country's population for the given year. | | Buddhists | The percentage share of Buddhists in the country's population for the given year. | | Folk Religions | The percentage share of followers of folk religions in the country's population. | | Other Religions | The percentage share of followers of other religions in the country's population. | | Jews | The percentage share of Jews in the country's population for the given year. | | All Religions | The percentage share of all religious groups combined in the country's population for the year. |

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.