Mali vs Sudan: Labor participation rate, female
Labor participation rate, female over time
- Mali
- Sudan
How they compare
Mali currently reports 13.9% against 10.5% in Sudan, a difference of 3.4%.
That makes Mali's figure about 1.3 times Sudan's.
The two have swapped places 1 time across 22 shared years of data; in 1990 it was Sudan ahead.
Mali ranks 41st and Sudan ranks 43rd of 52 countries.
Across the 3 decades both report, Mali averaged higher in 2 and Sudan in 1.
Head to head by decade
| Decade | Mali | Sudan | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 14.8% | 15.9% | 1.0% | Sudan |
| 2000s | 13.4% | 10.8% | 2.6% | Mali |
| 2010s | 13.9% | 10.5% | 3.4% | Mali |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher labor participation rate, female, Mali or Sudan?
- Mali, at 13.9% against 10.5% in Sudan as of 2011.
- What is the difference in labor participation rate, female between Mali and Sudan?
- 3.4%, with Mali ahead.
- How many years of comparable data are there for Mali and Sudan?
- 22 years are reported by both, from 1990 to 2011.
- How do Mali and Sudan rank globally for labor participation rate, female?
- Mali ranks 41st and Sudan ranks 43rd 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 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.