JOURNAL ARTICLE

Understanding the Socioeconomic Determinants of Religiosity and Religious Participation in Asia.

  • Published In: Journal of Asian & African Studies (Sage Publications, Ltd.), 2025, v. 60, n. 3. P. 1926 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Zhou, Jinchun 3 of 3

Abstract

This article examines the socioeconomic determinants of religiosity in nine Asian countries—Bangladesh, China, India, Indonesia, Malaysia, Pakistan, the Philippines, Thailand, and Vietnam—using data from multiple waves of the World Values Survey (WVS). The analysis finds that religiosity varies significantly by age, sex, income, education, socioeconomic status (SES), and employment, with notable differences across countries even after controlling for these factors. Contrary to some simple cross-tabulations, regression results indicate that higher education and relative income are generally associated with lower religiosity, while higher social class correlates positively, and greater national affluence (measured by purchasing power parity-adjusted GDP per capita) is linked to lower religiosity. The study also observes that although self-reported religiosity has increased over time in much of Asia—including China—participation in religious services has declined, suggesting a divergence between religious identity and practice. These findings highlight the complex interplay of individual and contextual factors influencing religiosity and suggest that some health benefits attributed to religiosity may reflect underlying socioeconomic variables.

Additional Information

  • Source:Journal of Asian & African Studies (Sage Publications, Ltd.). 2025/05, Vol. 60, Issue 3, p1926
  • Document Type:Article
  • Subject Area:Religion and Philosophy
  • Publication Date:2025
  • ISSN:0021-9096
  • DOI:10.1177/00219096231200598
  • Accession Number:184467439
  • Copyright Statement:Copyright of Journal of Asian & African Studies (Sage Publications, Ltd.) is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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