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Unemployment (% of labour force, ILO estimate)

6.6%▼ 0.04 pts vs 2024

Mozambique · Latest observation 2025

Unemployment (% of labour force, ILO estimate)

What is this?

Share of people who want work and cannot find any (ILO modelled estimate).

How to read it

  • Low numbers hide informal and part-time work, which is very common.
  • Unit: %.

What does the data say?

Unemployment (% of labour force, ILO estimate) (Mozambique) is 6.6 % (2025), 3.79 points higher than in 1991.

Over all 35 observations since 1991, the highest was 6.8 (2022) and the lowest 2.6 (1998).

Why does it matter?

  • Households: Job loss cuts income.
  • Businesses: Labour availability.
  • Government: Social pressure.
  • Investors: Demand risk.
  • Mobile money: Employment conditions may affect salary inflows and P2P transfers. Potential, not proven: check against internal transaction data before acting on it.

What should I watch?

Data source

Source
World Bank, World Development Indicators (SL.UEM.TOTL.ZS)
Status
Fetched live on the last refresh
Latest observation
2025
Last updated
2026-10-17
Source published
2026-10-08
Frequency
Annual
Method
Compiled by the World Bank from national statistics offices, the IMF, ILO and other agencies. Definitions are harmonised across countries.
Limitations
Annual. The latest year is often missing or revised. Some series are modelled estimates rather than direct measurements.
Country:
246819912025High 6.8Low 2.6
Latest
6.6
Change
+3.79 pts
High
6.8 2022
Low
2.6 1998
Average
3.7

Unemployment (% of labour force, ILO estimate) is 6.6 % (2025), 3.79 points higher than in 1991.

What is this?

Share of people who want work and cannot find any (ILO modelled estimate).

How to read it

Low numbers hide informal and part-time work, which is very common.

Unit: %.

What does the data say?

Unemployment (% of labour force, ILO estimate) (Mozambique) is 6.6 % (2025), 3.79 points higher than in 1991.

Over all 35 observations since 1991, the highest was 6.8 (2022) and the lowest 2.6 (1998).

Why does it matter?

  • Households: Job loss cuts income.
  • Businesses: Labour availability.
  • Government: Social pressure.
  • Investors: Demand risk.
  • Mobile money: Employment conditions may affect salary inflows and P2P transfers. Potential, not proven: check against internal transaction data before acting on it.

Observed facts are above; these are possible implications, not measured effects.

Countries — 2025

CountryLatestYear on year
Eswatini34.2 %−1.3%
South Africa32.4 %+0.3%
Botswana24.5 %+2.8%
Angola14.1 %+0.6%
Zimbabwe9.3 %−1.5%
Mozambique6.6 %−0.6%
Portugal6.2 %−5.2%
Brazil6.0 %−12.2%
Zambia5.9 %+0.3%
Sub-Saharan Africa5.7 %−0.2%
Kenya5.4 %−0.7%
Malawi5.1 %+0.4%
World4.8 %−0.3%
China4.6 %+0.5%
India4.2 %+1.1%
Tanzania1.6 %+1.0%

Compare countries → Explore relationships →

What should I watch?

Data source

Source
World Bank, World Development Indicators (SL.UEM.TOTL.ZS)
Frequency
Annual
Observations
35 (1991 – 2025) for Mozambique; 16 country in total
Source published
2026-10-08
Last retrieved
2026-10-17
Method
Compiled by the World Bank from national statistics offices, the IMF, ILO and other agencies. Definitions are harmonised across countries.
Limitations
Annual. The latest year is often missing or revised. Some series are modelled estimates rather than direct measurements.
Download
All stored observations (JSON) · CSV from the chart