Malawi vs North Africa: Labor participation rate, male
Labor participation rate, male over time
- Malawi
- North Africa
How they compare
Malawi currently reports 99.0% against 94.7% in North Africa, a difference of 4.3%.
Across all 21 years both countries report, Malawi has been ahead every year.
Malawi ranks 2nd and North Africa ranks 2nd of 52 countries.
Malawi has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Malawi | North Africa | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 97.8% | 95.8% | 1.9% | Malawi |
| 2000s | 97.5% | 95.4% | 2.1% | Malawi |
| 2010s | 99.0% | 94.7% | 4.3% | Malawi |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher labor participation rate, male, Malawi or North Africa?
- Malawi, at 99.0% against 94.7% in North Africa as of 2010.
- What is the difference in labor participation rate, male between Malawi and North Africa?
- 4.3%, with Malawi ahead.
- How many years of comparable data are there for Malawi and North Africa?
- 21 years are reported by both, from 1990 to 2010.
- How do Malawi and North Africa rank globally for labor participation rate, male?
- Malawi ranks 2nd and North Africa ranks 2nd of 52 countries.
- Where does this data come from?
- International Labour Organization, Key Indicators of the Labour Market database, published as Labor participation rate, male (% of male population ages 35-54). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Labor force participation rate is the proportion of the population ages 35-54 that is economically active: all people who supply labor for the production of goods and services during a specified period. The participation rates are harmonized to account for differences in national data collection and tabulation methodologies as well as for other country-specific factors such as military service requirements. The series includes both nationally reported and imputed data and only estimates that are national, meaning there are no geographic limitations in coverage.