The Current Population Survey Civic Engagement and Volunteering (CEV) Supplement is the most robust longitudinal survey about volunteerism and other forms of civic engagement in the United States. Produced by AmeriCorps in partnership with the U.S. Census Bureau, the CEV takes the pulse of our nation’s civic health every two years. The data on this page was collected in September 2023. The next wave of the CEV will be administered in September 2025. The CEV can generate reliable estimates at the national level, within states and the District of Columbia, and in the largest twelve Metropolitan Statistical Areas to support evidence-based decision making and efforts to understand how people make a difference in communities across the country. Click on "Export" to download and review an excerpt from the 2023 CEV Analytic Codebook that shows the variables available in the analytic CEV datasets produced by AmeriCorps. Click on "Show More" to download and review the following 2023 CEV data and resources provided as attachments: 1) 2023 CEV Dataset Fact Sheet – brief summary of technical aspects of the 2023 CEV dataset. 2) CEV FAQs – answers to frequently asked technical questions about the CEV 3) Constructs and measures in the CEV 4) 2023 CEV Analytic Data and Setup Files – analytic dataset in Stata (.dta), R (.rdata), SPSS (.sav), and Excel (.csv) formats, codebook for analytic dataset, and Stata code (.do) to convert raw dataset to analytic formatting produced by AmeriCorps. These files were updated on January 16, 2025 to correct erroneous missing values for the ssupwgt variable. 5) 2023 CEV Technical Documentation – codebook for raw dataset and full supplement documentation produced by U.S. Census Bureau 6) 2023 CEV Raw Data and Read In Files – raw dataset in Stata (.dta) format, Stata code (.do) and dictionary file (.dct) to read ASCII dataset (.dat) into Stata using layout files (.lis)

Between September 2020 and 2021, the formal volunteering rate among Americans aged 45 to 54 was estimated at 27 percent. The age group with the highest percentage of volunteers was 16 to 17 year olds, with 28.2 percent having volunteered with at least one organization in the same year.

The Current Population Survey Civic Engagement and Volunteering (CEV) Supplement is the most robust longitudinal survey about volunteerism and other forms of civic engagement in the United States. Produced by AmeriCorps in partnership with the U.S. Census Bureau, the CEV takes the pulse of our nation’s civic health every two years. The data on this page was collected in September 2017. The CEV can generate reliable estimates at the national level, within states and the District of Columbia, and in the largest twelve Metropolitan Statistical Areas to support evidence-based decision making and efforts to understand how people make a difference in communities across the country. This page was updated on January 16, 2025 to ensure consistency across all waves of CEV data. Click on "Export" to download and review an excerpt from the 2017 CEV Analytic Codebook that shows the variables available in the analytic CEV datasets produced by AmeriCorps. Click on "Show More" to download and review the following 2017 CEV data and resources provided as attachments: 1) CEV FAQs – answers to frequently asked technical questions about the CEV 2) Constructs and measures in the CEV 3) 2017 CEV Analytic Data and Setup Files – analytic dataset in Stata (.dta), R (.rdata), SPSS (.sav), and Excel (.csv) formats, codebook for analytic dataset, and Stata code (.do) to convert raw dataset to analytic formatting produced by AmeriCorps. 4) 2017 CEV Technical Documentation – codebook for raw dataset and full supplement documentation produced by U.S. Census Bureau 5) 2017 CEV Raw Data and Read In Files – raw dataset in Stata (.dta) format, Stata code (.do) and dictionary file (.dct) to read ASCII dataset (.dat) into Stata using layout files (.lis)

What is the Point-In-Time Count?

The U.S. Department of Housing and Urban Development (HUD) and Washington State Department of Commerce require communities to conduct a one-day Point-In-Time (PIT) Count to survey individuals experiencing homelessness. PIT Counts are one source of data among many that help us understand the magnitude and characteristics of people who are homeless in our community.

The Point-In-Time (PIT) Count is a one-day snapshot that captures the characteristics and situations of people living here without a home. The PIT Count includes both sheltered individuals (temporarily living in emergency shelters or transitional housing) and unsheltered individuals (those sleeping outside or living in places that are not meant for human habitation).

The annual PIT Count happens the last Friday in January, and is carried out by volunteers who interview people and asks where they slept the night before, where their last residence was located, what may have contributed to their loss of housing, and disabilities the individual may have. It also asks how long the individual has been homeless, age and demographics, and whether the person is a veteran and/or a survivor of domestic violence.

Like all surveys, the PIT Count has limitations. Results from the Count are influenced by the weather, by availability of overflow shelter beds, by the number of volunteers, and by the level of engagement of the people we are interviewing. Comparisons from year to year should be done with those limitations in mind.

The German Survey on Volunteering (FWS) is a representative survey on volunteering in Germany, aimed at people aged 14 and older. Voluntary activities and willingness to get involved are surveyed in telephone interviews (CATI). The Survey on Volunteering is the main basis of social reporting on volunteering in the Federal Republic of Germany and is funded by the Federal Ministry for Family Affairs, Senior Citizens, Women and Youth (BMFSFJ).

The data of the Survey on Volunteering were collected in 1999, 2004, 2009, 2014, and 2019. In each wave, an independent sample was drawn, resulting in five cross-sectional data sets. Previously, the surveys were managed and conducted by TNS Infratest Social Research (1999 Infratest Burke). Since the end of 2011, the scientific management has been in the hands of the German Center of Gerontology (DZA). Data collection for the fourth wave in 2014 and the fifth wave in 2019 was conducted by infas Institute for Applied Social Science.

The samples of all surveys were disproportionately stratified by state in order to achieve a sufficient sample size for separate state evaluations for each of the 16 federal states. In each case, the sampling frame was generated using the random-digit-dialing procedure (1999 random-last-digit procedure) according to the ADM standard.

The fourth wave was conducted in the survey period 28.04.2014 to 12.11.2014. The 2014 Volunteer Survey focused on providing comprehensive information on the content, scope and context of volunteering and charitable giving and donation activities as well as on the willingness to get involved and their motives. The sampling is based on a dual-frame approach: about 70 percent of the interviews were conducted via landline and just under 30 percent via mobile phone.
1. Personal data: sex; country of birth of respondent/ Germany; year of moving to Germany; household size; persons under 18 in household; household composition; if children in household: Own children; respondent is caregiver of child(ren); marital status; stable partnership; living with a partner; employment status; employment full-time, part-time, or part-time; type of volunteer service currently performed; duration of employment status in years; receiving unemployment benefit 1 or unemployment benefit 2 (Hartz IV); type of current education; type of current school type; high school diploma planned; planned high school diploma after grade 13. or 12; country of last school attendance (Germany, other country); school attendance in Germany: highest school-leaving qualification; school attendance abroad: number of school years and type of school-leaving qualification; completed vocational training or studies; country of vocational training and/or studies; highest educational qualification in Germany; highest educational qualification abroad; if currently unemployed and not gainfully employed: regular or occasional pursuit of any paid activity; marginal employment; weekly working hours; previously employed full-time; occupational status; characteristics blue-collar workers, white-collar workers, civil servants; number of employees if self-employed; migration background: German citizenship; German citizenship since birth; acquired German citizenship through naturalization, through recognition as Aussiedler, other; performed compulsory military service, voluntary military service or civilian service (men); performed voluntary military service (women); performed voluntary service (e.g., voluntary social year); type of voluntary service performed. Voluntary social year); type of voluntary service performed; social network: feeling close to enough people; support persons available when help is needed; support services received from persons outside the household; (relatives, neighbors, acquaintances, friends or other persons); membership in a denomination or religious community; denomination; church affiliation; place of residence: length of residence in place of residence; assessment of social cohesion in place of residence; membership in a nonprofit association or organization; membership in selected associations or organizations; political participation; participation in the 2013 federal election.

1. Recording of voluntary activities and motivational factors: Active participation in 14 social activity or engagement areas (e.g., sports and exercise, culture and music, leisure and socializing, etc.); volunteer involvement in areas with active participation. ); volunteering in areas with active participation; number of activities; willingness to take on further volunteer tasks; subjective importance of volunteering: age at which one first became involved in volunteering; motivation for volunteering (helping to shape society through my involvement, meeting other people through my involvement, gaining prestige and influence, advancing professionally, acquiring qualifications, additional income, fun, meeting people of other generations).

2. Structural...

Abstract (en): This data collection is comprised of responses from two sets of survey questionnaires, the basic Current Population Survey (CPS) and a survey on the topic of volunteer service, which was administered as a supplement to the September CPS questionnaire. The USA Freedom Corps jointly sponsored the supplemental questions for September 2005. The CPS, administered monthly, is a labor force survey providing current estimates of the economic status and activities of the population of the United States. Specifically, the CPS provides estimates of total employment (both farm and nonfarm), nonfarm self-employed persons, domestics, and unpaid helpers in nonfarm family enterprises, wage and salaried employees, and estimates of total unemployment. Data from the CPS are provided for the week prior to the survey. All persons eligible for the labor force items of the basic CPS were also eligible for the volunteer supplement. Altogether, 153,087 interviews were conducted during the period of September 18-24, 2005. Proxy responses were allowed if attempts for a self-response were unsuccessful. The supplement contained questions about the household member's participation in volunteer service from September 1, 2004, to the date of the interview. Household members were queried about the frequency of volunteer activity, the kinds of organizations they volunteered with, the types of activities they chose, whether any volunteering was done in a foreign country, and involvement in their community. Demographic variables include age, sex, race, Hispanic origin, marital status, veteran status, educational attainment, occupation, and income. The purpose of the 2005 Volunteer Supplement was to examine Americans' volunteer activities in the United States. The 2005 Volunteer Supplement was conducted as part of the Current Population Survey, an ongoing data collection effort of the United States Census Bureau. The survey was administered to household members aged 15 years and older in the households that were in the exit round of the CPS sample rotation. Computer-assisted personal interviews and computer-assisted telephone interviews were conducted during the period of September 18-24, 2005. Proxy respondents were allowed if attempts for self-responses were unsuccessful. Altogether, 153,087 respondents were interviewed for the 2005 Volunteer Supplement. The CPS variables provide labor force data containing current estimates of the economic status and activities of this population which includes estimates of total employment (both farm and nonfarm), nonfarm self-employed persons, domestics, and unpaid helpers in nonfarm family enterprises, wage and salaried employees, and estimates of total unemployment. The CPS variables also cover respondents' demographic information: age, sex, race, marital status, educational attainment, family relationship, occupation, and industry. The Volunteer Supplement variables provide household member's participation in volunteer service from September 1, 2004 to the date of the interview. Respondents were asked about the frequency of their volunteer activity, the kinds of organizations they volunteered with, and the types of activities they chose. Among those individuals who did not volunteer, the questions identified what barriers they experienced in volunteering, or what would encourage them to volunteer. The data contain seven CPS weight variables: Household Weight, HWHHWGT, should be used for tallying household characteristics.; Family Weight, PWFMWGT, should be used only for tallying family characteristics. cha; Longitudinal Weight, PWLGWGT, should be used for gross flows analysis and is found only on adult records matched from month to month. ; Outgoing Rotation Weight, PWORWGT, should be used for tallying information collected only in outgoing rotations.; Final Weight, PWSSWGT, is used for most tabulations, controlled to independent estimates for (1) States; (2) Origin, Sex, and Age; and (3) Age, Race, and Sex. ; Veterans Weight, PWVETWGT, should be used for tallying veterans data only.; Composited Final Weight, PWCMPWGT, is used to create BLS's published labor force statistics. ; The one supplement weight variable associated with the 2005 CPS Volunteer Supplement: Supplement Non-Response Weight, PWNRWGT, should be used to account for missing data due to non-response, and used when constructing estimates from supplement items. Users are strongly encouraged to refer to the User Guide for detailed info...

This research was undertaken to uncover the predictors of volunteerism for older persons and to determine the mental health benefits of such activity. The study was conducted from August 1993 until July 1998 in the greater Philadelphia area. A sample of White and African American males and females aged 65 and older were chosen for the study. For the study, four types of volunteer activity were developed. The first two types were "continuous volunteers," those who volunteer throughout the life course, and "continuous nonvolunteers," those who never volunteered. The third type, the "new volunteer," is a person who never volunteered earlier in life but has begun volunteering in later years, most probably as a substitute for lost work or family roles. The last type is the "lost volunteer," the person who once participated in volunteer activities but now has withdrawn from the role. Structural factors included age and income. Cultural factors included perceived importance and past volunteer activity. Perceived importance included level of agreement to a series of five statements such as, "People with unused skills and talents should make use of them by doing volunteer work," and "Volunteer work is essential to meet the communitys' needs." These items were developed specifically for use by persons aged 65 and older. In order to determine past volunteer behavior, a composite measure was created which included any prior volunteer behavior mentioned by both the current volunteers and those currently not volunteering, as well as including any volunteer work of the current volunteers that was a continuation of prior work.

The Current Population Survey Civic Engagement and Volunteering (CEV) Supplement is the most robust longitudinal survey about volunteerism and other forms of civic engagement in the United States. Produced by AmeriCorps in partnership with the U.S. Census Bureau, the CEV takes the pulse of our nation’s civic health every two years. The data on this page was collected in September 2021. The CEV can generate reliable estimates at the national level, within states and the District of Columbia, and in the largest twelve Metropolitan Statistical Areas to support evidence-based decision making and efforts to understand how people make a difference in communities across the country. Click on "Export" to download and review an excerpt from the 2021 CEV Analytic Codebook that shows the variables available in the analytic CEV datasets produced by AmeriCorps. Click on "Show More" to download and review the following 2021 CEV data and resources provided as attachments: 1) 2021 CEV Dataset Fact Sheet – brief summary of technical aspects of the 2021 CEV dataset. 2) CEV FAQs – answers to frequently asked technical questions about the CEV 3) Constructs and measures in the CEV 4) 2021 CEV Analytic Data and Setup Files – analytic dataset in Stata (.dta), R (.rdata), SPSS (.sav), and Excel (.csv) formats, codebook for analytic dataset, and Stata code (.do) to convert raw dataset to analytic formatting produced by AmeriCorps. These files were updated on January 16, 2025 to correct erroneous missing values for the ssupwgt variable. 5) 2021 CEV Technical Documentation – codebook for raw dataset and full supplement documentation produced by U.S. Census Bureau 6) Nonresponse Bias Analysis produced by U.S. Census Bureau 7) 2021 CEV Raw Data and Read In Files – raw dataset in Stata (.dta) format, Stata code (.do) and dictionary file (.dct) to read ASCII dataset (.dat) into Stata using layout files (.lis)

The Vernacular Archive of Normal Volunteers (VANV), 1940-2018 (inclusive) is a collection of oral histories, associated archival documents, and project records created and collected by Laura Jeanine Morris Stark (born 1975) to explore the lives of the first “normal control” research subjects at the Clinical Center of the United States National Institutes of Health (NIH) in Bethesda, Maryland who were recruited through NIH’s Normal Volunteer Patient Program. Dataset consists of materials from two sources. First, it includes audio recordings and transcripts of oral histories Laura Stark conducted from 2010-2017 with individuals who were involved with the NIH Normal Volunteer Patient Program between 1954 and 2002, along with related personal documents given to Stark by interviewees such as photographs, letters, diaries, news clippings and other memorabilia. Most of the interviewees were former “normal controls” and others were NIH staff members or scientists who did research on the “normal volunteers.” For the interviewees who provided Stark with historical contextual documents, these materials were digitized and the files were combined into one "records" PDF file for each individual interviewee by the Center for the History of Medicine as part of the dataverse deposit process. Original contextual documents remain in the possession of the interviewees. Second, the Dataset includes digital duplicates of materials related to the Normal Volunteer Patient Program compiled by Stark from the special collections of organizations that were the sources of “normal volunteers” for the NIH Clinical Center. Physical copies of the materials remain in the historical collections of organizations, such as universities, churches, civic groups, and labor unions, that signed contracts with NIH to provide healthy people for scientists to research through the Normal Volunteer Patient Program. Records for individual collections are grouped alphabetically by the last name of the interviewee or the name of the organization. Data files include audio files of the oral history interviews, interview transcripts, individual consent and release forms, and related contextual documents supplied by interviewees or organizations. Associated records such as interview questions, the protocol for interview transcription, and template consent, release, and donation forms may be found in the dataset "VANV project records, 2010-2018." Note that the date span (1940-2018) of this dataset reflects the creation dates of original materials that may exist here only as more recently created digital reproductions, for example, items from 1940 are digital scans of letters, photographs, and other documents created in 1940.

VBA EDUCATION PROGRAM to provide educational assistance to persons entering the Armed Forces after December 31, 1976, and before July 1, 1985; to assist persons in obtaining an education they might otherwise not be able to afford; and to promote and assist the all volunteer military program of the United States by attracting qualified persons to serve in the Armed Forces. The participant must have entered on active duty on or after January 1, 1977, and before July 1, 1985, and either served on active duty for more than 180 continuous days receiving an other than dishonorable discharge, or have been discharged after January, 1, 1977 because of a service-connected disability. Also eligible are participants who serve for more than 180 days and who continue on active duty and have completed their first period of obligated service (or 6 years of active duty, whichever comes first). Participants must also have satisfactorily contributed to the program. (Satisfactory contribution consists of monthly deduction of $25 to $100 from military pay, up to a maximum of $2,700, for deposit in a special training fund.) Participants may make lump-sum contributions. No individuals on active duty in the Armed Forces may initially begin contributing to this program after March 31, 1987.

The Current Population Survey Civic Engagement and Volunteering (CEV) Supplement is the most robust longitudinal survey about volunteerism and other forms of civic engagement in the United States. Produced by AmeriCorps in partnership with the U.S. Census Bureau, the CEV takes the pulse of our nation’s civic health every two years. The CEV can support evidence-based decision making and efforts to understand how people make a difference in communities across the country. The findings on this page are based on data collected in September of 2017, 2019, 2021, and 2023. All figures are weighted to account for the random selection of eligible respondents and missing data due to nonresponse. They reflect state-level rates of 17 measures of civic engagement. Please see column descriptions for details. A spreadsheet with all of these figures is provided as an attachment along with additional resources about the CEV data. Click on "Show More" to view and download. To explore CEV findings in an interactive dashboard, please see https://data.americorps.gov/stories/s/AmeriCorps-Civic-Engagement-and-Volunteering-CEV-D/62w6-z7xa For the full CEV datasets, please see https://data.americorps.gov/browse?q=cev&sortBy=last_modified&utf8=%E2%9C%93

VBA EDUCATION BENEFITS PROGRAM to provide educational assistance to persons entering the Armed Forces after December 31, 1976, and before July 1, 1985; to assist persons in obtaining an education they might otherwise not be able to afford; and to promote and assist the all volunteer military program of the United States by attracting qualified persons to serve in the Armed Forces. The participant must have entered on active duty on or after January 1, 1977, and before July 1, 1985, and either served on active duty for more than 180 continuous days receiving an other than dishonorable discharge, or have been discharged after January, 1, 1977 because of a service-connected disability. Also eligible are participants who serve for more than 180 days and who continue on active duty and have completed their first period of obligated service (or 6 years of active duty, whichever comes first). Participants must also have satisfactorily contributed to the program. (Satisfactory contribution consists of monthly deduction of $25 to $100 from military pay, up to a maximum of $2,700, for deposit in a special training fund.) Participants may make lump-sum contributions. No individuals on active duty in the Armed Forces may initially begin contributing to this program after March 31, 1987.

The Current Population Survey Civic Engagement and Volunteering (CEV) Supplement is the most robust longitudinal survey about volunteerism and other forms of civic engagement in the United States. Produced by AmeriCorps in partnership with the U.S. Census Bureau, the CEV takes the pulse of our nation’s civic health every two years. The CEV can support evidence-based decision making and efforts to understand how people make a difference in communities across the country. The findings on this page are based on data collected in September of 2017, 2019, 2021, and 2023. All figures are weighted to account for the random selection of eligible respondents and missing data due to nonresponse. They reflect national rates of 17 measures of civic engagement. Please see column descriptions for details. A spreadsheet with all of these figures is provided as an attachment along with additional resources about the CEV data. Click on "Show More" to view and download. To explore CEV findings in an interactive dashboard, please see https://data.americorps.gov/stories/s/AmeriCorps-Civic-Engagement-and-Volunteering-CEV-D/62w6-z7xa For the full CEV datasets, please see https://data.americorps.gov/browse?q=cev&sortBy=last_modified&utf8=%E2%9C%93

The Current Population Survey Civic Engagement and Volunteering (CEV) Supplement is the most robust longitudinal survey about volunteerism and other forms of civic engagement in the United States. Produced by AmeriCorps in partnership with the U.S. Census Bureau, the CEV takes the pulse of our nation’s civic health every two years. The CEV can support evidence-based decision making and efforts to understand how people make a difference in communities across the country. The findings on this page are based on data collected in September of 2017, 2019, 2021, and 2023. All figures are weighted to account for the random selection of eligible respondents and missing data due to nonresponse. They reflect national rates of 17 measures of civic engagement for key demographic subgroups. Please see column descriptions for details. A spreadsheet with all of these figures is provided as an attachment along with additional resources about the CEV data. Click on "Show More" to view and download. To explore CEV findings in an interactive dashboard, please see https://data.americorps.gov/stories/s/AmeriCorps-Civic-Engagement-and-Volunteering-CEV-D/62w6-z7xa For the full CEV datasets, please see https://data.americorps.gov/browse?q=cev&sortBy=last_modified&utf8=%E2%9C%93

The Current Population Survey Civic Engagement and Volunteering (CEV) Supplement is the most robust longitudinal survey about volunteerism and other forms of civic engagement in the United States. Produced by AmeriCorps in partnership with the U.S. Census Bureau, the CEV takes the pulse of our nation’s civic health every two years. The data on this page was collected in September 2019. The CEV can generate reliable estimates at the national level, within states and the District of Columbia, and in the largest twelve Metropolitan Statistical Areas to support evidence-based decision making and efforts to understand how people make a difference in communities across the country. This page was updated on January 16, 2025 to ensure consistency across all waves of CEV data. Click on "Export" to download and review an excerpt from the 2019 CEV Analytic Codebook that shows the variables available in the analytic CEV datasets produced by AmeriCorps. Click on "Show More" to download and review the following 2019 CEV data and resources provided as attachments: 1) CEV FAQs – answers to frequently asked technical questions about the CEV 2) Constructs and measures in the CEV 3) 2019 CEV Analytic Data and Setup Files – analytic dataset in Stata (.dta), R (.rdata), SPSS (.sav), and Excel (.csv) formats, codebook for analytic dataset, and Stata code (.do) to convert raw dataset to analytic formatting produced by AmeriCorps. 4) 2019 CEV Technical Documentation – codebook for raw dataset and full supplement documentation produced by U.S. Census Bureau 5) 2019 CEV Raw Data and Read In Files – raw dataset in Stata (.dta) format, Stata code (.do) and dictionary file (.dct) to read ASCII dataset (.dat) into Stata using layout files (.lis)