Kenya vs South Sudan: Employment-to-population ratio (ILO modelled estimates)
Employment-to-population ratio (ILO modelled estimates) over time
- Kenya
- South Sudan
How they compare
South Sudan currently reports 64.33 against 63.74 in Kenya, a difference of 0.59.
The two have swapped places 3 times across 33 shared years of data; in 1991 it was Kenya ahead.
Kenya ranks 43rd and South Sudan ranks 40th of 188 countries.
Across the 4 decades both report, Kenya averaged higher in 3 and South Sudan in 1.
Head to head by decade
| Decade | Kenya | South Sudan | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 70.59 | 65.31 | 5.28 | Kenya |
| 2000s | 71.01 | 65.14 | 5.87 | Kenya |
| 2010s | 70.54 | 64.47 | 6.07 | Kenya |
| 2020s | 63.62 | 63.68 | 0.06 | South Sudan |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher employment-to-population ratio (ilo modelled estimates), Kenya or South Sudan?
- South Sudan, at 64.33 against 63.74 in Kenya as of 2023.
- What is the difference in employment-to-population ratio (ilo modelled estimates) between Kenya and South Sudan?
- 0.59, with South Sudan ahead.
- How many years of comparable data are there for Kenya and South Sudan?
- 33 years are reported by both, from 1991 to 2023.
- How do Kenya and South Sudan rank globally for employment-to-population ratio (ilo modelled estimates)?
- Kenya ranks 43rd and South Sudan ranks 40th of 188 countries.
- Where does this data come from?
- International Labour Organization, published as Employment-to-population ratio (ILO modelled estimates) (15+). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. This series is based on the 13th ICLS definitions. The employment-to-population ratio is the number of persons who are employed as a percent of the total of working-age population. For more information, refer to the ILO Modelled Estimates (ILOEST) database description.