Using data for a representative sample of the Dutch population with information about participants’ religious background, we study the association between religion and moral behavior and attitudes. We find that religious people are less accepting of unethical economic behavior (e.g., tax evasion, bribery) and report more volunteering. They are equally likely as non-religious people to betray trust in an experimental game, where social behavior is unobservable and not directed to a self-selected group of recipients. Religious people also report lower preference for redistribution. Considering differences between denominations, Catholics betray less than non-religious people, while Protestants betray more than Catholics and are indistinguishable from the non-religious. We also explore the intergenerational transmission and the potential causality of these associations.

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 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.

About this dataset

Context

The dataset tabulates the population of Faith by race. It includes the population of Faith across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Faith across relevant racial categories.

Key observations

The percent distribution of Faith population by race (across all racial categories recognized by the U.S. Census Bureau): 89.36% are white, 2.39% are Black or African American, 7.34% are Asian and 0.92% are multiracial.

Content

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

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Faith
• Population: The population of the racial category (excluding ethnicity) in the Faith is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Faith total population. 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 Faith Population by Race & Ethnicity. You can refer the same here

Data Set Information:

Most of the sacred texts in this dataset were collected from Project Gutenberg. We herein provide the raw texts along with our pre-processed Document Term Matrices (DTM). For more details, please contact the authors

Attribute Information:

The attributes are just the words from the bag of words preprocessing of the mini-corpus made up of the 8 religious books considered in this study. There are 8265 words used

Relevant Papers:

@misc{sah2019asian, title={What do Asian Religions Have in Common? An Unsupervised Text Analytics Exploration}, author={Preeti Sah and Ernest Fokoué}, year={2019}, eprint={1912.10847}, archivePrefix={arXiv}, primaryClass={cs.CL} }

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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For more datasets, click here.

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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 ...

Abstract

The Religion Battery is a consolidated list of items focused on religion in the United States. The dataset includes responses from 1999-2024.

Methodology

The Religion Battery leverages the same methodology as the Gallup Poll Social Series (GPSS).

Gallup interviews a minimum of 1,000 U.S. adults aged 18 and older living in all 50 states and the District of Columbia using a dual-frame design, which includes both landline and cellphone numbers. Gallup samples landline and cellphone numbers using random-digit-dial methods. Gallup purchases samples for this study from Survey Sampling International (SSI). Gallup chooses landline respondents at random within each household based on which member had the next birthday. Each sample of national adults includes a minimum quota of 70% cellphone respondents and 30% landline respondents, with additional minimum quotas by time zone within region. Gallup conducts interviews in Spanish for respondents who are primarily Spanish-speaking.

Gallup weights samples to correct for unequal selection probability, nonresponse, and double coverage of landline and cellphone users in the two sampling frames. Gallup also weights its final samples to match the U.S. population according to gender, age, race, Hispanic ethnicity, education, region, population density, and phone status (cellphone only, landline only, both, and cellphone mostly).

Demographic weighting targets are based on the most recent Current Population Survey figures for the aged 18 and older U.S. population. Phone status targets are based on the most recent National Health Interview Survey. Population density targets are based on the most recent U.S. Census.

Usage

Previous versions of the Religion Battery have more rows and columns than the current version (v. 3.0). This is because the previous data releases contained fields unrelated to religion. The current release was cleaned/streamlined to reflect the topic of interest and isolate the surveys related to that topic.

For more information about included variables, please see

Supporting Files.

Bulk Data Access

Data access is required to view this section.

About this dataset

Context

The dataset presents the median household income across different racial categories in Faith. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of Faith population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 89.36% of the total residents in Faith. Notably, the median household income for White households is $151,250. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $151,250.

Content

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

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Faith.
• Median household income: Median household income, adjusting for inflation, presented in 2023-inflation-adjusted dollars

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 Faith median household income by race. You can refer the same here

"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 dataset provides Census 2021 estimates that classify usual residents in Birmingham by ethnic group, by religion, and by age.

Ethnic Group: The ethnic group that the person completing the census feels they belong to. This could be based on their culture, family background, identity or physical appearance. Religion: The religion people connect or identify with (their religious affiliation), whether or not they practise or have belief in it. Age: A person's age on Census Day, 21 March 2021 in England and Wales.CoverageThis dataset is focused on the data for Birmingham at city 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.

Null Hypotheses (H-not/H0) :- Are religious people more happy, and does it contribute to a better experience of life? ----------------------AND in the same vein ---------------------------------------------------------------------- Is the increasing trend of Atheism directly related to increasing reported levels of ADHD, depression and suicide rates around the world?

The research :- A slew of research suggests that religious people are happier, are better at keeping family ties, contribute to society more by being involved in the community, report better life experience and are better able to cope with life's setbacks like Divorce. Is this true? Below is a random list of research I found from googling :-

(1) https://www.psychologytoday.com/blog/more-mortal/201212/are-religious-people-happier-non-religious-people (2) https://www.psychologytoday.com/blog/curious/201510/does-being-religious-make-us-happy (3) http://www.huffingtonpost.co.uk/2016/02/02/office-for-national-statistics-well-being-data_n_9138076.html (4) https://www.unilad.co.uk/news/new-research-shows-religious-people-are-happier-than-atheists/ (5) https://www.christiantoday.com/article/why-religious-people-are-happier-and-how-to-share-the-joy/78581.htm (6) http://www.pewforum.org/2016/04/12/religion-in-everyday-life/

What the Quran says :- Having graduated from the London School of Economics (2004, Bsc Hons) and having been greatly influenced by Richard Dawkins, books like "The God Delusion" etc. for about 7 years and seeking extensively through the various religious/self development traditions including Judaism, Christianity, Buddhism, Hinduism, The Landmark Forum and Tai Chi, I converted to Islam 4 years ago. I can personally attest to having a much greater experience of life and feeling peace and tranquility and calmness in my heart. In the Sufi tradition, the heart is the kernel of connecting to God (Allah), and the seat of God consciousness :- https://www.youtube.com/watch?v=nqNPVP6GerM&index=1&list=PLwFLXkJiBtuza1uSJHsB8MJCfQ9l7h8jf

Allah says in the Quran :- "And whoever turns away from My remembrance - indeed, he will have a depressed life,...." [Quran 20:124]

And Allah also says in the Quran :- "Those who have believed and whose hearts are assured by the remembrance of Allah. Unquestionably, by the remembrance of Allah hearts are assured." [Quran 13:28]

Dataset :- The data set regarding population is the gross population by country taken from the World Bank Data Site, link here :- https://data.worldbank.org/indicator/SP.POP.TOTL?locations=US&view=chart

Can you :- Look at populations around the world using the dataset, and look at suicide levels, depression levels, reported ADHD levels, and anxiety levels and find a correlation between the increasing trend of atheism in the world and these reported markers.

About this dataset

Context

The dataset tabulates the Faith population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Faith. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 155 (47.40% of the total population). 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 cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Faith population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Faith is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Faith is shown in the following column.

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 Faith Population by Age. You can refer the same here

Analysis of ‘Population by religion, since 1850’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/ebdf6bdf-4605-4bd4-8129-170d584bebd2-stadt-zurich on 17 January 2022.

--- Dataset description provided by original source is as follows ---

These data describe the permanent resident population of the city of Zurich and are based on the census and structure survey of the Federal Office for Statistics.

The census includes persons of all ages, with the structural survey of only 15-year-olds and older people. For more information, see Remark.

--- Original source retains full ownership of the source dataset ---

This study, designed and carried out by the "http://www.asarb.org/" Target="_blank">Association of Statisticians of American Religious Bodies (ASARB), compiled data on 372 religious bodies by county in the United States. Of these, the ASARB was able to gather data on congregations and adherents for 217 religious bodies and on congregations only for 155. Participating bodies included 354 Christian denominations, associations, or communions (including Latter-day Saints, Messianic Jews, and Unitarian/Universalist groups); counts of Jain, Shinto, Sikh, Tao, Zoroastrian, American Ethical Union, and National Spiritualist Association congregations, and counts of congregations and adherents from Baha'i, three Buddhist groupings, two Hindu groupings, four Jewish groupings, and Muslims. The 372 groups reported a total of 356,642 congregations with 161,224,088 adherents, comprising 48.6 percent of the total U.S. population of 331,449,281. Membership totals were estimated for some religious groups.

In January 2024, the ARDA added 21 religious tradition (RELTRAD) variables to this dataset. These variables start at variable #12 (TOTCNG_2020). Categories were assigned based on pages 88-94 in the original "https://www.usreligioncensus.org/index.php/node/1638" Target="_blank">2020 U.S. Religion Census Report.

Visit the "https://www.thearda.com/us-religion/sources-for-religious-congregations-membership-data" Target="_blank">frequently asked questions page for more information about the ARDA's religious congregation and membership data sources.

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.

Context

Hadith (an Arabic word) refers to the words and actions of Prophet Mohammed. Those collections of Hadiths have been transmitted through generations of Muslim scholars until they have been collected and written in big collections. The chain of narrators is a main area of study in Islamic scholarship because a single hadith may have multiple chains of narrators (that may or may not overlap). However, it has mainly remained a qualitative field where scholars of Hadith try to determine the authenticity of Hadiths by investigating and validating the chains of narrators who transmitted a given hadith.

Content

This unprecedented dataset contains over 24,000 scholars and narrators along with their teachers/students (and other metadata as well) which will provide a macroscopic overview of how and where hadith have been preserved in the early days of Islam. The dataset can also answer many other questions about whether certain schools of scholarships are more prolific in preserving hadiths than others.

Acknowledgements

This dataset wouldn't have been possible without the great people who have already transcribed this dataset from primary sources and bibliographies to muslimscholars.info database. I only scraped this database with a Python script plus very minimal cleanup.

Inspiration

The idea of collecting the dataset was inspired by this project.

Future Plans

I plan to extend this project by extracting the chain of every hadith and combining it with this dataset.

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.

This dataset provides the full text of the King James Bible, a sacred book for Christians with a rich and varied history. The Old Testament, originally written in Hebrew, recounts the story of the Israelite people and includes religious law, poetry, and prophecy. The New Testament, originally in Greek, details the life of Jesus Christ and the early development of the Christian church. Authorised in 1604 by King James I of England for the Church of England, this translation has become the most popular English version of the bible. It is an excellent resource for Natural Language Processing (NLP) techniques, offering opportunities to explore unique linguistic features such as Hebrew parallelism and chiasmus, or to uncover "riddles" referenced by King Solomon in the book of Proverbs.

Columns

• version_name: The name of the bible version.
• version_abbr: The abbreviation for the bible version.
• testament_abbr: An abbreviation for the bible section, either Old Testament (OT) or New Testament (NT).
• testament_name: The full name of the bible section, Old Testament or New Testament.
• book_name: The name of the book within the bible.
• book_number: The numerical order of the book within the bible.
• chapter_number: The chapter number within a book.
• verse_number: The verse number within a chapter.
• verse_text: The actual text of the verse.

Distribution

The dataset is typically provided in a CSV format. It contains 30,833 unique verse values. Approximately 74% of the verses belong to the Old Testament, with the remaining 26% from the New Testament. The book of Psalms accounts for about 8% of the verses, while Genesis constitutes 5%, and other books make up 87%. The distribution of verse text length varies, with significant counts of verses falling into various character length ranges, from 1.00-4.25 characters (4,893 verses) up to longer ranges such as 40.00-43.25 characters (3,779 verses) and 17.25-20.50 characters (4,446 verses).

Usage

This dataset is ideal for various applications, especially those involving Natural Language Processing (NLP). Potential uses include identifying instances of Hebrew literary techniques like parallelism, detecting chiastic structures spanning chapters, and exploring the "riddles" mentioned in the book of Proverbs. It can also be used for linguistic analysis, text mining, and creating large language models.

Coverage

The dataset has global relevance, providing a foundational text for users worldwide. The content spans the historical periods covered by the Old Testament (focusing on the Israelite people) and the New Testament (covering the life of Jesus Christ and the early Christian church). The translation itself was authorised in 1604.

License

CC0

Who Can Use It

This dataset is suitable for: * Researchers and academics: For studies in theology, linguistics, literary analysis, and digital humanities. * Developers and data scientists: For building NLP models, text generation, and historical text analysis tools. * Educators: For teaching about biblical texts, history, and language. * Individuals interested in religious texts: For personal study or exploration of the King James Bible.

Dataset Name Suggestions

• King James Bible Text Dataset
• KJV Verses Collection
• Biblical Text (King James Version)
• Sacred Scripture Dataset

Attributes

Original Data Source: The King James Bible

Data on religion by gender and age for the population in private households in census divisions.

🇬🇧 영국 English 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.