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February 8, 2026Demography0 citationsOpen Access

A Research Note on the Demographic Potential of Polygyny: Evaluating an Age-Related Summary Indicator

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LPLuca Maria Pesando

Key Points

  • To assess the demographic viability of polygyny using the gamma indicator across sub-Saharan Africa from 1950 to 2021.
  • Analyzed data from the United Nations World Population Prospects 2022 covering 48 countries in SSA.
  • Estimated the evolution of the gamma indicator indicating polygyny's demographic potential.
  • Correlated gamma with polygyny estimates from Demographic and Health Surveys.
  • Gamma shows an inverted U-curve pattern aligned with demographic transition stages.
  • Recent declines in polygyny potential are most significant in South SSA, with moderate levels elsewhere.
  • Gamma can explain 50-70% of the variation in polygyny estimates, particularly in Central and South SSA.

Abstract

Abstract This research note discusses one underexplored aspect of the study of polygyny, namely, the extent to which the practice remains viable from a purely demographic standpoint. Using data from the United Nations World Population Prospects 2022 covering 48 countries in sub-Saharan Africa (SSA), I evaluate a simple indicator—gamma—for capturing the “demographic potential” of polygyny, that is, the fraction of men who can have two wives with no other man pushed out of the marriage market. I estimate how this indicator has evolved between 1950 and 2021 across regions of SSA and show how the measure correlates with polygyny estimates from available men's and women's Demographic and Health Surveys. Gamma shows inverted U-curve patterns aligned with stages of the demographic transition, from modestly low levels to high levels during periods of rapid population growth and then declining again. Recent declines are starkest in South SSA, while potential remains moderate elsewhere. Gamma correlates positively with polygyny estimates from Demographic and Health Surveys—particularly in Central and South SSA—and can explain up to 50‒70% variation in polygyny, albeit not everywhere. Findings primarily hold within regions, suggesting this is one of manifold factors at play. I conclude by outlining fruitful directions for the study of polygyny.

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Cite This Study

Luca Maria Pesando (2026) studied this question.

synapsesocial.com/papers/698828330fc35cd7a88477dehttps://doi.org/10.1215/00703370-12459078
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