Congo vs Somalia: Labor participation rate, male
Labor participation rate, male over time
- Congo
- Somalia
How they compare
Somalia currently reports 74.9% against 71.0% in Congo, a difference of 3.9%.
That makes Somalia's figure about 1.1 times Congo's.
Across all 22 years both countries report, Somalia has been ahead every year.
Congo ranks 42nd and Somalia ranks 39th of 52 countries.
Somalia has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Congo | Somalia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 70.4% | 73.3% | 2.9% | Somalia |
| 2000s | 69.8% | 74.2% | 4.5% | Somalia |
| 2010s | 70.9% | 74.9% | 4.0% | Somalia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher labor participation rate, male, Congo or Somalia?
- Somalia, at 74.9% against 71.0% in Congo as of 2011.
- What is the difference in labor participation rate, male between Congo and Somalia?
- 3.9%, with Somalia ahead.
- How many years of comparable data are there for Congo and Somalia?
- 22 years are reported by both, from 1990 to 2011.
- How do Congo and Somalia rank globally for labor participation rate, male?
- Congo ranks 42nd and Somalia ranks 39th 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 55-64). 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 55-64 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.