In 2023, **** percent of Americans were unaffiliated with any religion. A further **** percent of Americans were White evangelical Protestants, and an additional **** percent were White mainline Protestants. Religious trends in the United States Although the United States is still home to the largest number of Christians worldwide, the nation has started to reflect a more diverse religious landscape in recent years. Americans now report a wide range of religious beliefs and backgrounds, in addition to an increasing number of people who are choosing to identify with no religion at all. Studies suggest that many Americans have left their previous religion to instead identify as atheist, agnostic, or nothing in particular, with many reasoning that they stopped believing in the religion's teachings, that they didn't approve of negative teachings or treatment of LGBTQ+ people, or that their family was never that religious growing up. Christian controversies Over the last few years, controversies linked to Christian denominations have plagued the nation, including reports of child sexual abuse by the Catholic Church, the Church of Jesus Christ of Latter-day Saints, and the Southern Baptist Convention. Christian churches have also been accused of supporting discriminatory actions against LGBTQ+ people and people belonging to other religious groups. In addition, there have been increasing concerns about Christian nationalism, the political ideology that asserts that America was founded to be a Christian nation. Although the majority of Americans still think that declaring the United States a Christian nation would go against the U.S. Constitution, studies found that most Republicans would be in favor of this change.

Graph and download economic data for Total Construction Spending: Religious in the United States (TLRELCONS) from Jan 2002 to May 2025 about religion, expenditures, construction, and USA.

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 study, designed and completed by the Association of Statisticians of American Religious Bodies (ASARB), represents statistics for 149 religious bodies on the number of congregations within each county of the United States. Where available, also included are actual membership (as defined by the religious body) and total adherents figures. Participants included 149 Christian denominations, associations, or communions (including Latter-day Saints and Unitarian/Universalist groups); two specially defined groups of independent Christian churches; Jewish and Islamic totals; and counts of temples for six Eastern religions.

It is important to understand the methodology producing these data and its limitations. While these data contain membership data for many religious groups in the United States, including most of the larger groups, they do not include every group. It is recommended that users read the notes below. Users may also want to refer to a paper by Roger Finke and Christopher P. Scheitle that explains the "adjusted" adherence rates included in the file.

Visit the "/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.

Anti-Jewish attacks were the most common form of anti-religious group hate crimes in the United States in 2023, with ***** cases. Anti-Islamic hate crimes were the second most common anti-religious hate crimes in that year, with *** incidents.

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.

Graph and download economic data for Total Construction Spending: Religious in the United States (MPCT06XXS) from Feb 2002 to May 2025 about religion, expenditures, construction, and USA.

All Places of Worship across the United States.

This dataset contains almost 50,000 Buddhist, Christian, Hindu, Islamic, Judaic, and Sikh places of worship across the US. Lat/lon coordinates allow for geographic visualization along with a variety of other attributes.

Source: https://hifld-geoplatform.opendata.arcgis.com/datasets/all-places-of-worship?geometry=130.387%2C31.377%2C-7.601%2C68.279

Data Dictionary

This data collection provides county- and state-level information on the number of members of a variety of religious organizations and groups in the United States between 1906 and 1936. The variables in this collection provide the names of these groups and organizations, which include the Advent Christian Church, Southern and National Convention Baptist churches, Buddhist (Japanese) temples, Evangelical Association, Jewish congregations, Greek Orthodox Church, Mennonite Church, Friends Church, Pentecostal Church of the Nazarene, Polish National Church, Roman Catholic Church, Salvation Army, Seventh Day Adventist, The Church of Jesus Christ of Latter-Day Saints, Russian Eastern Orthodox Church, Mennonite General Conference, Hungarian Reformed Church, Unitarian Church, Negro Baptist Church, and Evangelical Church.

This study assessed the effects of male inmate religiosity on post-release community adjustment and investigated the circumstances under which these effects were most likely to take place. The researcher carried out this study by adding Federal Bureau of Investigation criminal history information to an existing database (Clear et al.) that studied the relationship between an inmate's religiousness and his adjustment to the correctional setting. Four types of information were used in this study. The first three types were obtained by the original research team and included an inmate values and religiousness instrument, a pre-release questionnaire, and a three-month post-release follow-up phone survey. The fourth type of information, official criminal history reports, was later added to the original dataset by the principal investigator for this study. The prisoner values survey collected information on what the respondent would do if a friend sold drugs from the cell or if inmates of his race attacked others. Respondents were also asked if they thought God was revealed in the scriptures, if they shared their faith with others, and if they took active part in religious services. Information collected from the pre-release questionnaire included whether the respondent attended group therapy, religious groups with whom he would live, types of treatment programs he would participate in after prison, employment plans, how often he would go to church, whether he would be angry more in prison or in the free world, and whether he would be more afraid of being attacked in prison or in the free world. Each inmate also described his criminal history and indicated whether he thought he was able to do things as well as most others, whether he was satisfied with himself on the whole or felt that he was a failure, whether religion was talked about in the home, how often he attended religious services, whether he had friends who were religious while growing up, whether he had friends who were religious while in prison, and how often he participated in religious inmate counseling, religious services, in-prison religious seminars, and community service projects. The three-month post-release follow-up phone survey collected information on whether the respondent was involved with a church group, if the respondent was working for pay, if the respondent and his household received public assistance, if he attended religious services since his release, with whom the respondent was living, and types of treatment programs attended. Official post-release criminal records include information on the offenses the respondent was arrested and incarcerated for, prior arrests and incarcerations, rearrests, outcomes of offenses of rearrests, follow-up period to first rearrest, prison adjustment indicator, self-esteem indicator, time served, and measurements of the respondent's level of religious belief and personal identity. Demographic variables include respondent's faith, race, marital status, education, age at first arrest and incarceration, and age at incarceration for rearrest.

The article scrutinizes the common – often stereotypical – presumption that Europe is secular and America religious. It argues that to understand why it has been easier for American supporters to institutionalise international religious freedom and engagement policies than for advocates in the EU, it is important to consider the discursive structures of EU and US foreign policies, which enable and constrain political language and behaviour. Based on a quantitative content analysis and qualitative predicate analysis of foreign policy documents, produced by the EU and the US in their relationship with six religiously diverse African and Asian states, the article compares how both international actors represent religion in their foreign affairs. The replication data includes a codebook, including description of the data, and the excel spreadsheets used to collect and analyse EU and US foreign policy documents.

Graph and download economic data for All Employees: Other Services: Religious Organizations in California (SMU06000008081310001) from Jan 1990 to May 2025 about religion, CA, services, employment, and USA.

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.

This data collection contains county-level information on churches and church membership by denomination in Michigan for 1950 and 1960. Information is given on the names of the county, presbytery, and church. Other variables provide information on the number of churches and church members for each denomination. Additional variables give the number and percentage of the state population who were 14 years and older in each county in 1950 and in 1960, the percentage of this age group who attended churches in 1950 and in 1960, and the percentage of the change in membership in each denomination between 1950 and 1960.

This file contains all of the cases and variables that are in the original 2017 Baylor Religion Survey, but is prepared for easier use in the classroom. Changes have been made in two areas. First, to avoid confusion when constructing tables or interpreting basic analysis, all missing data codes and "don't know" responses have been set to system missing. Second, many of the continuous variables have been categorized into fewer categories, and added as additional variables to the file.

Wave V of the "https://www.baylor.edu/baylorreligionsurvey/" Target="_blank">Baylor Religion Survey (2017), also known as "The Values and Beliefs of the American Public - A National Study," was administered by Gallup and funded by the John Templeton Foundation. It covers topics of the geography of religion; religious behaviors and attitudes; morality and politics; mental health and religion; intersection of technology and religion; race and ethnicity; the religious, political and ideological values of Trump voters; and basic demographics.

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 National Congregations Study (NCS) is a national survey effort to gather information about America's congregations. The first wave of the NCS took place in 1998, and the study was repeated in 2006-07, 2012, and 2018-19. The NCS tracks continuity and change among American congregations, and each NCS wave also explores new subjects. With information from 5,333 congregations collected over a span of more than 20 years, the NCS helps us better understand many aspects of congregational life in the United States, and how congregations are changing in the 21st century. The NCS contributes to knowledge about American religion by collecting information about a wide range of congregations' characteristics and activities at different points in time. In all four waves, the NCS was conducted in conjunction with the General Social Survey (GSS). The 1998, 2006, 2012, and 2018 waves of the GSS asked respondents who attend religious services to name their congregation, thus generating a nationally representative sample of religious congregations. Researchers then located these congregations. In 2006, the sample included re-interviews of a subset of congregations that participated in 1998, and in 2018-19, the sample included re-interviews of a subset of congregations that participated in 2012. A key informant at each congregation - a minister, priest, rabbi, or other staff person or leader - provided each congregation's information via a one-hour interview conducted either over the phone or in-person. The survey gathered information on many topics, including the congregation's leadership, social composition, structure, activities, and programming. The NCS gathers information about worship, programs, staffing, community activities, demographics, funding, and many other characteristics of American congregations. Respondents of the NCS survey were asked to describe the worship service and programs sponsored by the congregation other than the main worship services, including religious education classes, musical groups, and recreational programs. Informants described the type of building in which the congregation met, whether it belonged to the congregation, and whether visitors came just to view the building's architecture or artwork. Congregations were geocoded, and selected census variables are included in this study.

The New Immigrant Survey (NIS) was a nationally representative, longitudinal study of new legal immigrants to the United States and their children. The sampling frame was based on the electronic administrative records compiled for new legal permanent residents (LPRs) by the U.S. government (via, formerly, the U.S. Immigration and Naturalization Service (INS) and now its successor agencies, the U.S. Citizenship and Immigration Services (USCIS) and the Office of Immigration Statistics (OIS)). The sample was drawn from new legal immigrants during May through November of 2003. The geographic sampling design took advantage of the natural clustering of immigrants. It included all top 85 Metropolitan Statistical Areas (MSAs) and all top 38 counties, plus a random sample of MSAs and counties. The baseline survey (ICPSR 38031) was conducted from June 2003 to June 2004 and yielded data on: 8,573 Adult Sample respondents, 810 sponsor-parents of the Sampled Child, 4,915 spouses, and 1,072 children aged 8-12. This study contains the follow-up interview, conducted from June 2007 to October 2009, and yielded data on: 3,902 Adult Sample respondents, 351 sponsor-parents of the Sampled Child, 1,771 spouses, and 41 now-adult main children. Interviews were conducted in the respondents' language of choice. Round 2 instruments were designed to track changes from the baseline and also included new questions. As with the Round 1 questionnaire, questions that were used in social-demographic-migration surveys around the world as well as the major U.S. longitudinal surveys were reviewed in order to achieve comparability. The NIS content includes the following information: demographics, health and insurance, migration history, living conditions, transfers, employment history, income, assets, social networks, religion, housing environment, and child assessment tests.

DRAKO is a Mobile Location Audience Targeting provider with a programmatic trading desk specialising in geolocation analytics and programmatic advertising. Through our customised approach, we offer business and consumer insights as well as addressable audiences for advertising.

Mobile Location Data can be meaningfully transformed into Audience Targeting when used in conjunction with other dataset. Our expansive POI Data allows us to segment users by visitation to major brands and retailers as well as categorizes them into syndicated segments. Beyond POI visits, our proprietary Home Location Model determines residents of geographic areas such as Designated Market Areas, Counties, or States. Relatedly, our Home Location Model also fuels our Geodemographic Census Data segments as we are able to determine residents of the smallest census units. Additionally, we also have audiences of: ticketed event and venue visitors; survey data; and retail data.

All of our Audience Targeting is 100% deterministic in that it only includes high-quality, real visits to locations as defined by a POIs satellite imagery buildings contour. We never use a radius when building an audience unless requested. We have a horizontal accuracy of 5m.

Additionally, we can always cross reference your audience targeting with our syndicated segments:

Overview of our Syndicated Audience Data Segments: - Brand/POI segments (specific named stores and locations) - Categories (behavioural segments - revealed habits) - Census demographic segments (HH income, race, religion, age, family structure, language, etc.,) - Events segments (ticketed live events, conferences, and seminars) - Resident segments (State/province, CMAs, DMAs, city, county, sub-county) - Political segments (Canadian Federal and Provincial, US Congressional Upper and Lower House, US States, City elections, etc.,) - Survey Data (Psychosocial/Demographic survey data) - Retail Data (Receipt/transaction data)

All of our syndicated segments are customizable. That means you can limit them to people within a certain geography, remove employees, include only the most frequent visitors, define your own custom lookback, or extend our audiences using our Home, Work, and Social Extensions.

In addition to our syndicated segments, we’re also able to run custom queries return to you all the Mobile Ad IDs (MAIDs) seen at in a specific location (address; latitude and longitude; or WKT84 Polygon) or in your defined geographic area of interest (political districts, DMAs, Zip Codes, etc.,)

Beyond just returning all the MAIDs seen within a geofence, we are also able to offer additional customizable advantages: - Average precision between 5 and 15 meters - CRM list activation + extension - Extend beyond Mobile Location Data (MAIDs) with our device graph - Filter by frequency of visitations - Home and Work targeting (retrieve only employees or residents of an address) - Home extensions (devices that reside in the same dwelling from your seed geofence) - Rooftop level address geofencing precision (no radius used EVER unless user specified) - Social extensions (devices in the same social circle as users in your seed geofence) - Turn analytics into addressable audiences - Work extensions (coworkers of users in your seed geofence)

Data Compliance: All of our Audience Targeting Data is fully CCPA compliant and 100% sourced from SDKs (Software Development Kits), the most reliable and consistent mobile data stream with end user consent available with only a 4-5 day delay. This means that our location and device ID data comes from partnerships with over 1,500+ mobile apps. This data comes with an associated location which is how we are able to segment using geofences.

Data Quality: In addition to partnering with trusted SDKs, DRAKO has additional screening methods to ensure that our mobile location data is consistent and reliable. This includes data harmonization and quality scoring from all of our partners in order to disregard MAIDs with a low quality score.

The Private School Universe Survey, 2003-04 (PSS 2003-04), is a study that is part of the Private School Universe program. PSS 2003-04 (https://nces.ed.gov/surveys/pss/) is a cross-sectional survey that collects data on private elementary and secondary schools, including religious orientation, level of school, length of school year, length of school day, total enrollment (K-12), race/ethnicity of students, number of high school graduates, number of teachers employed, program emphasis, and existence and type of kindergarten program. The study was conducted using mail questionnaires and telephone follow-up of all private schools in the United States. The PSS universe consists of a diverse population of schools. It includes both schools with a religious orientation (e.g., Catholic, Lutheran, or Jewish) and nonsectarian schools with programs ranging from regular to special emphasis and special education. The study's unweighted and weighted response rates were both 94 percent. Key statistics produced from PSS 2003-04 are on the growth of religiously affiliated schools, the number of private high school graduates, the length of the school year for various private schools, and the number of private school students and teachers.