Ethiopia vs Malawi: Labor participation rate, male
Labor participation rate, male over time
- Ethiopia
- Malawi
How they compare
Malawi currently reports 99.0% against 98.3% in Ethiopia, a difference of 0.7%.
The two have swapped places 2 times across 21 shared years of data; in 1990 it was Malawi ahead.
Ethiopia ranks 4th and Malawi ranks 2nd of 52 countries.
Across the 3 decades both report, Ethiopia averaged higher in 1 and Malawi in 2.
Head to head by decade
| Decade | Ethiopia | Malawi | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 97.3% | 97.8% | 0.4% | Malawi |
| 2000s | 98.1% | 97.5% | 0.6% | Ethiopia |
| 2010s | 98.3% | 99.0% | 0.7% | Malawi |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher labor participation rate, male, Ethiopia or Malawi?
- Malawi, at 99.0% against 98.3% in Ethiopia as of 2010.
- What is the difference in labor participation rate, male between Ethiopia and Malawi?
- 0.7%, with Malawi ahead.
- How many years of comparable data are there for Ethiopia and Malawi?
- 21 years are reported by both, from 1990 to 2010.
- How do Ethiopia and Malawi rank globally for labor participation rate, male?
- Ethiopia ranks 4th and Malawi 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.