Georgia vs South Sudan: Average weekly hours actually worked per employed person
Average weekly hours actually worked per employed person over time
- Georgia
- South Sudan
How they compare
South Sudan currently reports 37.6 against 37.59 in Georgia, a difference of 0.01.
The two have swapped places 2 times across 19 shared years of data; in 2005 it was South Sudan ahead.
Georgia ranks 116th and South Sudan ranks 115th of 188 countries.
South Sudan has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Georgia | South Sudan | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 36.17 | 37.8 | 1.63 | South Sudan |
| 2010s | 35.98 | 36.99 | 1.01 | South Sudan |
| 2020s | 36.68 | 37.17 | 0.485 | South Sudan |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher average weekly hours actually worked per employed person, Georgia or South Sudan?
- South Sudan, at 37.6 against 37.59 in Georgia as of 2023.
- What is the difference in average weekly hours actually worked per employed person between Georgia and South Sudan?
- 0.01, with South Sudan ahead.
- How many years of comparable data are there for Georgia and South Sudan?
- 19 years are reported by both, from 2005 to 2023.
- How do Georgia and South Sudan rank globally for average weekly hours actually worked per employed person?
- Georgia ranks 116th and South Sudan ranks 115th of 188 countries.
- Where does this data come from?
- International Labour Organization, published as Average weekly hours actually worked per employed person (ILO modelled estimates). 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. This indicator refers to mean weekly hours actually worked per employed person in their main job. For more information, refer to the ILO Modelled Estimates (ILOEST) database description.