Eritrea vs Sudan: Labor participation rate, male
Labor participation rate, male over time
- Eritrea
- Sudan
How they compare
Sudan currently reports 69.9% against 65.7% in Eritrea, a difference of 4.2%.
That makes Sudan's figure about 1.1 times Eritrea's.
The two have swapped places 2 times across 22 shared years of data; in 1990 it was Sudan ahead.
Eritrea ranks 19th and Sudan ranks 17th of 52 countries.
Across the 3 decades both report, Eritrea averaged higher in 1 and Sudan in 2.
Head to head by decade
| Decade | Eritrea | Sudan | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 73.5% | 72.0% | 1.5% | Eritrea |
| 2000s | 68.4% | 71.2% | 2.9% | Sudan |
| 2010s | 65.9% | 70.0% | 4.1% | Sudan |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher labor participation rate, male, Eritrea or Sudan?
- Sudan, at 69.9% against 65.7% in Eritrea as of 2011.
- What is the difference in labor participation rate, male between Eritrea and Sudan?
- 4.2%, with Sudan ahead.
- How many years of comparable data are there for Eritrea and Sudan?
- 22 years are reported by both, from 1990 to 2011.
- How do Eritrea and Sudan rank globally for labor participation rate, male?
- Eritrea ranks 19th and Sudan ranks 17th 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 65+). 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 65 and older 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.