Trends in Volunteer Mentoring in the United States: Analysis of a Decade of Census Survey Data
Abstract
Over the past decade, considerable resources have been devoted to recruiting volunteer mentors and expanding mentoring programs. It is unclear whether these efforts have helped to counter the broader national trends of declining volunteer rates. The current study uses data from the Volunteering Supplement of the Current Population Survey (CPS), sponsored by the U.S. Census Bureau and U.S. Bureau of Labor Statistics, to explore population‐level trends in mentoring over the past decade. Results suggest that mentoring rates have remained relatively stable over the past decade, but that the population of mentors has changed somewhat in terms of age, ethnicity, educational background, and region of the United States. In addition, certain sectors of the mentor population show higher rates of attrition from 1 year to the next. Findings have important implications for the development of recruitment, training, and mentor support practices within mentoring organizations, as well as policies designed to meet the needs of at‐risk youth in the U.S.
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The findings are in line with a study on natural mentoring characteristics, showing the benefits of relationships with natural mentors outside the family by building new (bridging) forms of social capital.
“The findings are in line with a study on natural mentoring characteristics (DuBois & Silverthorn, 2005b), showing the benefits of relationships with natural mentors outside the family by building new (bridging) forms of social capital (McDonald & Lambert, 2014; Raposa et al., 2017).”
From Does Natural Mentoring Matter? A Multilevel Meta‐analysis on the Association Between Natural Mentoring and Youth Outcomes (2018) · cites this paper as Raposa et al., 2017
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- Authors
- Raposa, E. B., Dietz, N., & Rhodes, J. E.
- Affiliations
- William & Mary (US)
- Urban Institute (US)
- University of Massachusetts Boston (US)
- Corresponding author
- Rhodes, Jean E.
- Venue
- American Journal of Community Psychology
- Publisher
- Wiley
- Published
- 2017-02-22
- Volume
- 59
- Issue
- 1-2
- Pages
- 3-14
- ISSN
- 0091-0562 (ISSN-L)
- 1573-2770
- OpenAlex
- W2589886647
- Cited by
- 81
- References
- 29
- Citations by year
- 2026: 6 · 2025: 4 · 2024: 6 · 2023: 9 · 2022: 9 · 2021: 11 · 2020: 12 · 2019: 11 · 2018: 10 · 2017: 2
- FWCI
- 13.71
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Journal of Community Psychology (publishedVersion)
- PubMed (publishedVersion)
- W&M Publish (College of William & Mary) (submittedVersion)
- Funders
- MacArthur Foundation Research Network on Connected Learning
- MENTOR: The National Mentoring Partnership
- Topics
- Social Sciences › Psychology › Social Psychology › Mentoring and Academic Development
- Social Sciences › Sociology and Political Science › Nonprofit Sector and Volunteering
- Social Sciences › Safety Research › Youth Development and Social Support
- Keywords
- volunteer mentoring, mentoring programs, volunteer attrition, mentor training, at-risk youth
- MeSH terms
- Mentoring, Adolescent, Adult, Aged, Asian, Black or African American, Ethnicity, Female, Humans, Indians, North American, Male, Middle Aged, Surveys and Questionnaires, United States, Volunteers, Censuses, White People, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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