Social Differences in Youth Volunteering in an Increasingly Diverse Society: An Intersectional Approach

Volunteering offers young people valuable opportunities for personal and social development, yet social inequalities in access and participation persist. This study examines how ethnicity/migration background, gender and social status shape formal volunteering among Flemish youth, with special attention to how these characteristics intersect. Using survey data from students (age: 15–20) in urban areas and a rural control group ( n = 2,354), we apply a multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIDHA) analysis and multilevel logistic models to analyse individual, intersectional and interaction patterns. Results show clear differences in formal voluntary engagement by migration background but no clear differences based on social status or gender. However, intersectional analyses nuance this general pattern, revealing barriers that remain hidden when characteristics are studied separately. By highlighting these intersectional dynamics, the study contributes to a deeper understanding of social inequalities in youth volunteering and underscores the importance of moving beyond single-axis analyses.

Authors

Institutions

Publication Details

Journal
Young
Published
2026-07-16
DOI
https://doi.org/10.1177/11033088261461390
Primary Topic
Nonprofit Sector and Volunteering
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Social Differences in Youth Volunteering in an Increasingly Diverse Society: An Intersectional Approach

Bram Spruyt, Jessy Siongers, Femke Pauwels
Young
Nonprofit Sector and Volunteering
article

Social Differences in Youth Volunteering in an Increasingly Diverse Society: An Intersectional Approach

Bram Spruyt, Jessy Siongers, Femke Pauwels
article en

Abstract

Volunteering offers young people valuable opportunities for personal and social development, yet social inequalities in access and participation persist. This study examines how ethnicity/migration background, gender and social status shape formal volunteering among Flemish youth, with special attention to how these characteristics intersect. Using survey data from students (age: 15–20) in urban areas and a rural control group ( n = 2,354), we apply a multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIDHA) analysis and multilevel logistic models to analyse individual, intersectional and interaction patterns. Results show clear differences in formal voluntary engagement by migration background but no clear differences based on social status or gender. However, intersectional analyses nuance this general pattern, revealing barriers that remain hidden when characteristics are studied separately. By highlighting these intersectional dynamics, the study contributes to a deeper understanding of social inequalities in youth volunteering and underscores the importance of moving beyond single-axis analyses.

Young
Vrije Universiteit Brussel (BE), Ghent University (BE)
Reduced inequalities
Openalex Percentile: Top 3%
Nonprofit Sector and Volunteering
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.