Botswana vs Kenya: Labor participation rate, female
Labor participation rate, female over time
- Botswana
- Kenya
How they compare
Botswana currently reports 85.8% against 83.0% in Kenya, a difference of 2.8%.
The two have swapped places 1 time across 21 shared years of data; in 1990 it was Kenya ahead.
Botswana ranks 17th and Kenya ranks 19th of 52 countries.
Across the 3 decades both report, Botswana averaged higher in 2 and Kenya in 1.
Head to head by decade
| Decade | Botswana | Kenya | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 79.1% | 81.5% | 2.5% | Kenya |
| 2000s | 84.2% | 82.6% | 1.6% | Botswana |
| 2010s | 85.8% | 83.0% | 2.8% | Botswana |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher labor participation rate, female, Botswana or Kenya?
- Botswana, at 85.8% against 83.0% in Kenya as of 2010.
- What is the difference in labor participation rate, female between Botswana and Kenya?
- 2.8%, with Botswana ahead.
- How many years of comparable data are there for Botswana and Kenya?
- 21 years are reported by both, from 1990 to 2010.
- How do Botswana and Kenya rank globally for labor participation rate, female?
- Botswana ranks 17th and Kenya ranks 19th 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 35-54). 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 35-54 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.