Comoros vs South Korea: Average weekly hours actually worked per employed person (ILO)
Average weekly hours actually worked per employed person (ILO) over time
- Comoros
- South Korea
How they compare
Comoros currently reports 37.41 against 37.29 in South Korea, a difference of 0.12.
The two have swapped places 1 time across 23 shared years of data; in 2005 it was South Korea ahead.
Comoros ranks 118th and South Korea ranks 120th of 188 countries.
South Korea has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Comoros | South Korea | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 42.05 | 46.49 | 4.44 | South Korea |
| 2010s | 41.24 | 42.83 | 1.59 | South Korea |
| 2020s | 37.15 | 37.85 | 0.6937 | South Korea |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher average weekly hours actually worked per employed person, Comoros or South Korea?
- Comoros, at 37.41 against 37.29 in South Korea as of 2027.
- What is the difference in average weekly hours actually worked per employed person between Comoros and South Korea?
- 0.12, with Comoros ahead.
- How many years of comparable data are there for Comoros and South Korea?
- 23 years are reported by both, from 2005 to 2027.
- How do Comoros and South Korea rank globally for average weekly hours actually worked per employed person?
- Comoros ranks 118th and South Korea ranks 120th 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.