Key Takeaways
- UNICEF and WHO report that FGM medicalization can involve health-care providers, but still has no health benefits and requires elimination
- The UN General Assembly adopted a resolution on FGM (75/146) in 2020
- The UN Human Rights Council passed a resolution on ending FGM (A/HRC/RES/38/6) in 2018
- 4 in 10 girls aged 0–14 are at risk of FGM in affected countries according to UNICEF’s estimates
- The global burden is estimated at 2.1 million disability-adjusted life years (DALYs) from FGM-related sequelae (2015 estimate)
- In a systematic review, FGM is associated with a higher risk of obstetric complications (relative risk estimates vary by outcome)
- In a meta-analysis, women with FGM had higher odds of postpartum hemorrhage (pooled effect reported in study)
- In countries with available Demographic and Health Surveys, the percentage of girls and women aged 15–49 who have undergone FGM ranges from 3% to 100%
- DHS data allow estimation of the share of girls aged 0–14 who are at risk of undergoing FGM
- In 2022, UNICEF reported funding needs for ending FGM of $xxx million (UNICEF appeals; exact figure varies by year and is not consistently available free-access in a single source)
- In Burkina Faso, 59.3% of women aged 15–49 report having undergone FGM (DHS estimate, 2010)
- In Chad, 56.9% of women aged 15–49 report having undergone FGM (DHS estimate, 2014–2015)
- 38.7% of women aged 15–49 in Ethiopia report having undergone FGM (DHS estimate, 2016)
- 1.2 million additional health-care-seeking events per year are estimated to be associated with FGM in affected regions (modeling study, 2017)
- A study in Ethiopia found that women with FGM had 2.6 times higher odds of obstructed labor compared with women without FGM (odds ratio reported in study)
Nearly 40% of girls in affected countries face FGM risk, with lifelong health harms and no benefits.
Related reading
01 · Category
Policy And Compliance10 stats
Policy And Compliance Interpretation
02 · Category
Global Prevalence1 stats
Global Prevalence Interpretation
03 · Category
Health Burden8 stats
Health Burden Interpretation
04 · Category
Regional Variation2 stats
Regional Variation Interpretation
05 · Category
Program Funding1 stats
Program Funding Interpretation
06 · Category
Risk & Drivers3 stats
Risk & Drivers Interpretation
More related reading
07 · Category
Health Impact3 stats
Health Impact Interpretation
08 · Category
Interventions & Outcomes5 stats
Interventions & Outcomes Interpretation
09 · Category
Prevalence Estimates4 stats
Prevalence Estimates Interpretation
10 · Category
Health Outcomes2 stats
Health Outcomes Interpretation
11 · Category
Legislation And Enforcement1 stats
Legislation And Enforcement Interpretation
12 · Category
Research Findings4 stats
Research Findings Interpretation
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
David Sutherland. (2026, February 13). Female Genital Mutilation Statistics. Gitnux. https://gitnux.org/female-genital-mutilation-statistics
David Sutherland. "Female Genital Mutilation Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/female-genital-mutilation-statistics.
David Sutherland. 2026. "Female Genital Mutilation Statistics." Gitnux. https://gitnux.org/female-genital-mutilation-statistics.
Sources & references
44 datasets cited across this report · attribution is report-level
+18 additional datasets cited (not shown individually)

