Mauritania: Prevalence of stunting, height for age, female (% of children under 5)

Key figures

Since 2000 it is down 15.8 percentage points from 38.3% in 2000. The World Bank has no value for 12 of the years in between; the chart leaves those gaps open rather than joining across them.

How it compares

In 2022, Mauritania had the 6th highest value of the 10 economies reporting that year. Higher is not always better: for some indicators the lowest value is the one to aim for. See the full ranking.

Closest to Mauritania in the 2022 ranking

• Tanzania — 3rd of 10: 26.6%
• Nepal — 4th of 10: 25%
• Bangladesh — 5th of 10: 23.3%
• Uganda — 7th of 10: 21.6%
• Kenya — 8th of 10: 15.6%
• Ghana — 9th of 10: 15.3%

What this measures

Prevalence of stunting, female, is the percentage of girls under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.

Limitations: Survey estimates come with levels of uncertainty due to both sampling error and non-sampling error (e.g., measurement technical error, recording error etc.,). None of the two sources of errors have been fully taken into account for deriving estimates neither at country nor at regional or worldwide levels.

All 11 values

Prevalence of stunting, height for age, female (% of children under 5) in nearby economies

• Burkina Faso — 17.5% (2021)
• Burundi — 49.1% (2024)
• Chad — 29% (2022)
• Ghana — 15.3% (2022)
• Kenya — 15.6% (2022)
• Malawi — 31.8% (2020)
• Mali — 23.6% (2024)
• Niger — 45% (2022)
• Senegal

More health data for Mauritania

• Population ages 00-04, female (% of female population) — 15.12% (2025)
• Population ages 00-04, male (% of male population) — 16.08% (2025)
• Population ages 0-14, female — 1.11 million (2025)
• Population ages 0-14, female (% of female population) — 41.1% (2025)
• Population ages 0-14, male — 1.14 million (2025)
• Population ages 0-14, male (% of male population) — 43.72% (2025)
• Population ages 0-14, total — 2.25 million (2025)
• Population ages 0-14 (% of total population) — 42.38% (2025)
• Population ages 05-09, female (% of female population) — 13.69% (2025)

Reading data like this

• Where to find free public data, and how to check it before you trust it — 2 min read
• Data analysis examples: 6 worked from one dataset — 3 min read
• Real change or random noise? A plain guide to reading your numbers — 2 min read

Questions people ask

What is Mauritania's prevalence of stunting, height for age, female (% of children under 5)?

22.5% in 2022, according to the World Bank (World Development Indicators).

How has it changed since 2000?

It is down 15.8 percentage points from 38.3% in 2000. The highest value was 38.3% in 2000 and the lowest 15% in 2021.

How does Mauritania rank?

6th highest of 10 economies with data for 2022.

Where does this data come from?

The World Bank's World Development Indicators, licensed CC BY 4.0. Original source: UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology., UN Children's Fund (UNICEF), note: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (a….

Source

World Bank, World Development Indicators, indicator SH.STA.STNT.FE.ZS, licensed CC BY 4.0. Original source: UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology., UN Children's Fund (UNICEF), note: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (a… Figures are fetched from the World Bank API and refreshed monthly; see the series on data.worldbank.org. The full definition and method are in the World Bank's metadata glossary. Comparisons use the same World Bank release.

Want to ask your own questions of data like this? Try AnalyzeIt: upload a file or ask about public data in plain words, and every figure comes with its working.