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World Bank · Health

Female genital mutilation prevalence

Percentage of women aged 15–49 who have gone through partial or total removal of the female external genitalia or other injury to the female genital organs for cultural or other non-therapeutic reasons.

Coverage
30 of 238 countries
Latest data
2023
Series
30
Unit
percent
Licence
CC BY 4.0
Retrieved
2026-11-05
Indicator
female-genital-mutilation-prevalence
Interva ID
worldbank-female-genital-mutilation-prevalence

Recency

current

data to 2023; catalog to 2025

Provenance

4 steps

as the publisher declares it

Versions

1

catalog snapshots

Citation

BibTeX + CSL

versioned permalink

Quality profile

This profile describes what Interva can measure in the data. It does not claim the dataset is accurate, complete, or suitable for a particular use.

Recency

100%

Latest observation is 2023; the catalog broadly reports to 2025, so this data is 2 year(s) behind (current).

Method: Compares the dataset's latest non-projected period with the year most datasets in the catalog end in. Up to 2 years behind is current — annual data is routinely published a year or two late — and more than 5 is stale. Measured from the data, not from when Interva last crawled it.

Temporal completeness

25%

23 of 30 series skip at least one year inside their own span; the median series reports 25% of its years.

Method: Per series, years present divided by years from its first to its last observation; the median across series is reported. Annual periods are assumed, which holds for every series in the catalog today.

Geographic coverage

Measured

Covers 30 of the 238 countries in the catalog.

Method: Counts distinct geographies with at least one observation. Not scored: a regional dataset covering its region completely is not deficient for omitting the rest of the world.

History depth

Measured

The median series has 3 observations; the earliest begins in 1990.

Method: Counts non-projected observations per series. Not scored: a long history is useful for trend work and irrelevant for a cross-section.

Revisions

Measured

No observation has been restated in any vintage Interva has recorded.

Method: Counts values the publisher changed between Interva's publishes. Not scored: revising estimates is ordinary and often a sign of care, and the count is here so a reader citing a figure knows whether it moves.

Schema conformity

Not assessed

No declared schema or validation rules are attached to this dataset yet.

Validity

Not assessed

No field-level validation rules are attached to this dataset yet.

Consistency

Not assessed

Cross-series consistency rules are not defined yet. The obvious first one — whether two publishers measuring one concept agree within a stated tolerance — is a candidate.

2 scored from the data, 3 described without a score, 3 not assessed. Pipeline integrity: all 5 checks pass. Assessed 2026-11-07.

By country

Female genital mutilation prevalence for each of the 30 countries it covers, with the full history.

Latest observations

CountryPeriodValueUnit
Senegal202320.10percent
Kenya202214.80percent
Tanzania, United Republic of20228.20percent
Burkina Faso202156.10percent
Mauritania202163.90percent
Nigeria202115.10percent
Gambia202072.60percent
Liberia202031.80percent
Somalia202099.20percent
Central African Republic201921.60percent

Provenance

Who produced these figures, as World Bank declares it — not inferred, and each line says which published field it was read from.

  1. Produced by

    UNICEF

    UNICEF DATA, UN Children's Fund (UNICEF), uri: https://sdmx.data.unicef.org/overview.html, note: Indicator code from the original source: PT_F_15-49_FGM; Indicator name from the original source: Percentage of girls and women (aged 15-49 years) who have undergone female genital mutilation (FGM), type: API, date accessed: 2023-12-07

    declared by worldbank in sourceOrganization

    Demographic & Health Surveys

    Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS) and other surverys, Demographic and Health Surveys (DHS) Program, uri: https://sdmx.data.unicef.org/overview.html, note: Indicator code from the original source: PT_F_15-49_FGM; Indicator name from the original source: Percentage of girls and women (aged 15-49 years) who have undergone female genital mutilation (FGM), publisher: The DHS Program (ICF), type: API, date accessed: 2023-12-07

    declared by worldbank in sourceOrganization

    Demographic & Health Surveys

    DHS API, Demographic and Health Surveys (DHS) Program, uri: https://api.dhsprogram.com/#/index.html, note: Indicator code from the original source: PT_F_15-49_FGM; Indicator name from the original source: Percentage of girls and women (aged 15-49 years) who have undergone female genital mutilation (FGM), date accessed: 2023-12-07

    declared by worldbank in sourceOrganization

  2. Read from

    World Bank

    World Development Indicators

    declared by worldbank in source

Versions

A vintage is a dated publish of the catalog. The current entry is a catalog snapshot; checksums are not recorded yet and are shown as such.

  • CurrentCurrent catalog snapshotchecksum not recorded

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Citation

Version: catalog snapshot 2026-11-05. The record labels this as a catalog snapshot because immutable dataset releases are not stored yet.

World Bank (2026). Female genital mutilation prevalence. Interva. https://interva.co/dataset/worldbank-female-genital-mutilation-prevalence (accessed 2026-11-07). catalog snapshot 2026-11-05.

BibTeX
@misc{interva-worldbank-female-genital-mutilation-prevalence,
  title        = {Female genital mutilation prevalence},
  author       = {World Bank},
  year         = {2026},
  howpublished = {\url{https://interva.co/dataset/worldbank-female-genital-mutilation-prevalence}},
  note         = {Interva dataset worldbank-female-genital-mutilation-prevalence; catalog snapshot 2026-11-05},
  urldate      = {2026-11-07}
}

DOI: not assigned (not assigned). The permalink is versioned by catalog snapshot; a stable dataset DOI is a later step.

API access

Every fact on this page is available from the API.

curl https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/worldbank-female-genital-mutilation-prevalence
curl -o worldbank-female-genital-mutilation-prevalence.csv https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/worldbank-female-genital-mutilation-prevalence/download
curl "https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/worldbank-female-genital-mutilation-prevalence/citation?accessed=YYYY-MM-DD"
curl https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/worldbank-female-genital-mutilation-prevalence/quality

Full schema: https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/docs

Open in the terminal to chart this series, compare it against other publishers, or export it with its provenance.

Female genital mutilation prevalence · World Bank · Interva