Browse 114 concepts used in the study of religion, review how survey researchers measured them in the past, and quickly compare the results of more than 7,600 survey questions.
The archive is a collection of surveys, polls, and other data submitted by the foremost scholars and research centers in the world. Review and analyze data online, or download free of charge.
Examine the religious composition, religious freedoms, demographics, constitutional clauses, survey findings and multiple social and political measures for 250 nations.
View maps of the United States and individual states for hundreds of variables, including congregational membership, census data, crime statistics and many others.
Generate congregational membership reports for any county, state and urban area in the United States using data collected by the Religious Congregations & Membership Study.
The profiles chart schisms and mergers, document membership trends, offer basic descriptions, and link to additional resources for more than 400 past and present American religious groups.
Browse dozens of topics from a major national survey of religious congregations. See how the responses vary by the size, religious family and region of the congregation.
Browse dozens of topics covered by major national surveys. See how the responses vary by demographic categories and, when available, how they change over time.
View maps of the United States and individual states for hundreds of variables, including congregational membership, census data, crime statistics and many others.
The November 2011 Religion and Politics Survey, sponsored by the Pew Research Center, obtained telephone interviews with a nationally representative sample of 2,001 adults living in the United States, including Alaska and Hawaii. The survey focused on Americans' views of Barack Obama and the major Republican presidential candidates. Items also included views on global warming, the death penalty, abortion, and Mormonism, as well as several measures of respondents' religious and political preferences and behavior.
LLWEIGHT is applied to the landline random digit dialing (RDD) sample only. COWEIGHT is the weight for the landline RDD sample and the cell-only cases combined; cases from the cell phone RDD sample that reported having a landline phone are excluded. WEIGHT is the weight for the combined sample of all landline and cell phone interviews.
The November 2011 Religion and Politics Survey, sponsored by the Pew Research Center, obtained telephone interviews with a nationally representative sample of 2,001 adults living in the United States, including Alaska and Hawaii. Interviews were conducted via landline (n=1,200) and cell phone (n=801, including 397 without a landline phone). The survey was conducted by Princeton Survey Research Associates International. The interviews were administered in English and Spanish by Princeton Data Source from November 9-15, 2011. Statistical results are weighted to correct known demographic discrepancies. The margin of sampling error for the complete set of weighted data is +/-2.5 percentage points.
Interviews were conducted from November 9-15, 2011. As many as seven attempts were made to contact every sampled telephone number. Sample was released for interviewing in replicates, which are representative subsamples of the larger sample. Using replicates to control the release of sample ensures that complete call procedures are followed for the entire sample. Calls were staggered over times of day and days of the week to maximize the chance of making contact with potential respondents. Interviewing was spread as evenly as possible across the days in field. Each telephone number was called at least one time during the day in an attempt to complete an interview. For the landline sample, interviewers asked to speak with the youngest adult male or female currently at home based on a random rotation. If no male/female was available, interviewers asked to speak with the youngest adult of the other gender. This systematic respondent selection technique has been shown to produce samples that closely mirror the population in terms of age and gender when combined with cell interviewing. For the cellular sample, interviews were conducted with the person who answered the phone. Interviewers verified that the person was an adult and in a safe place before administering the survey. Cellular respondents were offered a post-paid cash reimbursement for their participation.
Sampling Procedures
A combination of landline and cellular random digit dial (RDD) samples was used to represent all adults in the United States who have access to either a landline or cellular telephone. Both samples were provided by Survey Sampling International, LLC (SSI) according to PSRAI specifications. Numbers for the landline sample were drawn with equal probabilities from active blocks (area code + exchange + two-digit block number) that contained three or more residential directory listings. The cellular sample was not list-assisted, but was drawn through a systematic sampling from dedicated wireless 100-blocks and shared service 100-blocks with no directory-listed landline numbers.
The first stage of weighting corrected for different probabilities of selection associated with the number of adults in each household and each respondent's telephone usage patterns. This weighting also adjusts for the overlapping landline and cell sample frames and the relative sizes of each frame and each sample. The second stage of weighting balances sample demographics to population parameters. The sample is balanced by form to match national population parameters for sex, age, education, race, Hispanic origin, region (U.S. Census definitions), population density, and telephone usage. The Hispanic origin was split out based on nativity; U.S born and non-U.S. born. The white, non-Hispanic subgroup also is balanced on age, education and region. The basic weighting parameters came from a special analysis of the Census Bureau's 2010 Annual Social and Economic Supplement (ASEC) that included all households in the United States. The population density parameter was derived from Census 2000 data. The cell phone usage parameter came from an analysis of the July-December 2010 National Health Interview Survey. Weighting was accomplished using Sample Balancing, a special iterative sample weighting program that simultaneously balances the distributions of all variables using a statistical technique called the Deming Algorithm. Weights were trimmed to prevent individual interviews from having too much influence on the final results. The use of these weights in statistical analysis ensures that the demographic characteristics of the sample closely approximate the demographic characteristics of the national population.
