Bangladesh: Share of youth not in education, employment or training, female (% of female youth population)

Key figures

Since 2005 it is down 37.19 percentage points from 56.92% in 2005. The World Bank has no value for 10 of the years in between; the chart leaves those gaps open rather than joining across them.

How it compares

In 2024, Bangladesh had the 11th highest value of the 17 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 Bangladesh in the 2024 ranking

• Albania — 8th of 17: 22.55%
• Sri Lanka — 9th of 17: 22.44%
• Philippines — 10th of 17: 20.23%
• Mauritius — 12th of 17: 16.91%
• Israel — 13th of 17: 15.69%
• New Zealand — 14th of 17: 13.16%

What this measures

The share of youth not in education, employment or training (also known as “the NEET rate”) conveys the number of young persons not in education, employment or training as a percentage of the total youth population. Youth not in education are those who were neither enrolled in school nor in a formal training program (e.g. vocational training). For the purposes of this indicator, youth is defined as all persons between the ages of 15 and 24 (inclusive).

Limitations: When differing from international standards, the operational criteria used to define employment and the participation in education or training will naturally affect the comparability of the resulting statistics, as will the coverage of the source of statistics (geographical coverage, population coverage, age coverage, etc.). NEET rates are calculated preferably for youth defined as persons aged 15 to 24, but when studying these rates it is important to keep in mind that not all persons complete their education by the age of 24.

Regional and income-group figures are computed by the World Bank as a weighted average.

All 10 values

Share of youth not in education, employment or training, female (% of female youth population) in nearby economies

• India — 39.73% (2025)
• Sri Lanka — 22.44% (2024)

More social protection & labor data for Bangladesh

• Net migration — -402,100 (2025)
• Refugees under the mandate of the UNHCR by country or territory of asylum — 1.18 million (2025)
• Refugees under the mandate of the UNHCR by country or territory of origin — 31,862 (2025)
• Labor force participation rate for ages 15-24, female (%) (modeled ILO estimate) — 46.54% (2025)
• Labor force participation rate for ages 15-24, male (%) (modeled ILO estimate) — 50.28% (2025)
• Labor force participation rate for ages 15-24, total (%) (modeled ILO estimate) — 48.38% (2025)
• Labor force participation rate, female (% of female population ages 15-64) (modeled ILO estimate) — 41.48% (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 Bangladesh's share of youth not in education, employment or training, female (% of female youth population)?

19.73% in 2024, according to the World Bank (World Development Indicators).

How has it changed since 2005?

It is down 37.19 percentage points from 56.92% in 2005. The highest value was 68.36% in 2011 and the lowest 18.8% in 2023.

How does Bangladesh rank?

11th highest of 17 economies with data for 2024.

Where does this data come from?

The World Bank's World Development Indicators, licensed CC BY 4.0. Original source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: September 28, 2026.

Source

World Bank, World Development Indicators, indicator SL.UEM.NEET.FE.ZS, licensed CC BY 4.0. Original source: Labour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: September 28, 2026 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.