Cameroon vs Congo: Labor participation rate, female
Labor participation rate, female over time
- Cameroon
- Congo
How they compare
Cameroon currently reports 77.3% against 73.9% in Congo, a difference of 3.4%.
The two have swapped places 1 time across 22 shared years of data; in 1990 it was Congo ahead.
Cameroon ranks 15th and Congo ranks 17th of 52 countries.
Across the 3 decades both report, Cameroon averaged higher in 2 and Congo in 1.
Head to head by decade
| Decade | Cameroon | Congo | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 71.7% | 73.9% | 2.1% | Congo |
| 2000s | 76.6% | 74.7% | 1.8% | Cameroon |
| 2010s | 77.2% | 73.9% | 3.3% | Cameroon |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher labor participation rate, female, Cameroon or Congo?
- Cameroon, at 77.3% against 73.9% in Congo as of 2011.
- What is the difference in labor participation rate, female between Cameroon and Congo?
- 3.4%, with Cameroon ahead.
- How many years of comparable data are there for Cameroon and Congo?
- 22 years are reported by both, from 1990 to 2011.
- How do Cameroon and Congo rank globally for labor participation rate, female?
- Cameroon ranks 15th and Congo 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, female (% of female 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.