Determinants of Women‘s Age at First Marriage in Zimbabwe: A Survival Analysis Approach

Authors

DOI:

https://doi.org/10.71458/7fqzxp30

Keywords:

median age at, survivor function, log rank test, Cox regression, hazard ratio, analysis of deviance

Abstract

The study aims to examine the effect of select socio-demographic factors on women’s age at first marriage. The study employs survival analysis, specifically the Cox proportional hazard regression model and analysis of deviance using the Zimbabwe’s 2022 anonymised population and housing census data. The median women’s age at marriage in Zimbabwe is 21 years. Log rank tests show that there are statistically significant differences on median age at first marriage on all factor levels of the seven independent variables. Cox regression indicates that all the seven independent variables significantly influence women’s age at marriage. The most contributing factors to the age at first marriage are whether women had given live birth, province and level of education. The findings of this study suggest that policies that delay entry into first marriage must be province (region) based. Findings also suggest that improvement in educational attainment for women will play a significant role in delaying entry into first marriage.

Author Biography

  • Charles Chimedza, School of Statistics and Actuarial Science, University of Witwatersrand, Johannesburg, South Africa

    Professor Charles Chimedza is an Associate Professor of Statistics, and will be serving as the as the Head of the School of Statistics and Actuarial Science at the University of the Witwatersrand from February 2026. His academic journey began with a BSc Honours in Mathematics, after which he pursued a Postgraduate Diploma in Statistics. Demonstrating a passion for statistical sciences, Chimedza continued his studies, earning a Master of Statistics degree, followed by a PhD in Statistics.
    As a dedicated educator and researcher, Professor Chimedza has made significant contributions to both theoretical and applied statistics. His expertise spans a variety of statistical methodologies including Time-Series, Machine learning, Robust statistics and multivariate modelling.
    Throughout his career, Professor Chimedza has been committed to statistical consulting, mentoring students and fostering the next generation of statisticians.

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Published

2026-07-24

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Section

Articles

How to Cite

Manjoro, E., Chimedza, C., & Munyira, I. . (2026). Determinants of Women‘s Age at First Marriage in Zimbabwe: A Survival Analysis Approach. Ngenani: The Zimbabwe Ezekiel Guti Journal of Community Engagement and Societal Transformations, 4(1), Pages: 226 - 250. https://doi.org/10.71458/7fqzxp30

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