Djibouti vs Sudan: Labor participation rate, female
Labor participation rate, female over time
- Djibouti
- Sudan
How they compare
Sudan currently reports 23.8% against 16.1% in Djibouti, a difference of 7.7%.
That makes Sudan's figure about 1.5 times Djibouti's.
Across all 22 years both countries report, Sudan has been ahead every year.
Djibouti ranks 48th and Sudan ranks 46th of 52 countries.
Sudan has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Djibouti | Sudan | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 8.9% | 24.0% | 15.1% | Sudan |
| 2000s | 13.3% | 22.8% | 9.4% | Sudan |
| 2010s | 15.9% | 23.7% | 7.8% | Sudan |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher labor participation rate, female, Djibouti or Sudan?
- Sudan, at 23.8% against 16.1% in Djibouti as of 2011.
- What is the difference in labor participation rate, female between Djibouti and Sudan?
- 7.7%, with Sudan ahead.
- How many years of comparable data are there for Djibouti and Sudan?
- 22 years are reported by both, from 1990 to 2011.
- How do Djibouti and Sudan rank globally for labor participation rate, female?
- Djibouti ranks 48th and Sudan ranks 46th 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.