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Towards the elimination of FGM by 2030: A statistical assessment

Author

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  • Kathrin Weny
  • Romesh Silva
  • Rachel Snow
  • Berhanu Legesse
  • Nafissatou Diop

Abstract

In 2015, UN member states committed to eliminate female genital mutilation (FGM) by 2030 as part of the Sustainable Development Agenda. To reach this goal, interventions need to be targeted and guided by the best available evidence. To date, however, estimates of the number of girls and women affected by FGM and their trends over time and geographic space have been limited by the availability, specificity and quality of population-level data. We present new estimates based on all publicly available nationally representative surveys collected since the 1990s that contain both information on FGM status and on the age at which FGM occurred. Using survival analysis, we generate estimates of FGM risk by single year of age for all countries with available data, and for rural and urban areas separately. The likelihood of experiencing FGM has decreased at the global level, but progress has been starkly uneven between countries. The available data indicate no progress in reducing FGM risk in Gambia, Guinea-Bissau, Mali and Guinea. In addition, rural and urban areas have diverged over the last two decades, with FGM declining more rapidly in urban areas. We describe limitations in the availability and quality of data on FGM occurrence and age-at-FGM. Based on current trends, the SDG goal of eliminating FGM by 2030 is out of reach, and the pace at which the practice is being abandoned would need to accelerate to eliminate FGM by 2030. The heterogeneity in trends between countries and rural vs urban areas offers an opportunity to contrast countries where FGM is in rapid decline and explore potential policy lessons and programmatic implications for countries where the practice of FGM appears to remain entrenched.

Suggested Citation

  • Kathrin Weny & Romesh Silva & Rachel Snow & Berhanu Legesse & Nafissatou Diop, 2020. "Towards the elimination of FGM by 2030: A statistical assessment," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-14, October.
  • Handle: RePEc:plo:pone00:0238782
    DOI: 10.1371/journal.pone.0238782
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