Congo vs Eswatini: Labor participation rate, male
Labor participation rate, male over time
- Congo
- Eswatini
How they compare
Congo currently reports 54.1% against 48.0% in Eswatini, a difference of 6.1%.
That makes Congo's figure about 1.1 times Eswatini's.
Across all 22 years both countries report, Congo has been ahead every year.
Congo ranks 35th and Eswatini ranks 38th of 52 countries.
Congo has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Congo | Eswatini | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 56.4% | 51.4% | 5.0% | Congo |
| 2000s | 54.7% | 49.4% | 5.3% | Congo |
| 2010s | 54.2% | 48.1% | 6.1% | Congo |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher labor participation rate, male, Congo or Eswatini?
- Congo, at 54.1% against 48.0% in Eswatini as of 2011.
- What is the difference in labor participation rate, male between Congo and Eswatini?
- 6.1%, with Congo ahead.
- How many years of comparable data are there for Congo and Eswatini?
- 22 years are reported by both, from 1990 to 2011.
- How do Congo and Eswatini rank globally for labor participation rate, male?
- Congo ranks 35th and Eswatini ranks 38th 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.