Hungary vs South Sudan: Full-time equivalent employment (ILO modelled estimates)
Full-time equivalent employment (ILO modelled estimates) over time
- Hungary
- South Sudan
How they compare
South Sudan currently reports 4,177 against 4,110 in Hungary, a difference of 67.
The two have swapped places 2 times across 19 shared years of data; in 2005 it was Hungary ahead.
Hungary ranks 87th and South Sudan ranks 84th of 188 countries.
Hungary has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Hungary | South Sudan | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 3,909 | 2,873 | 1,036 | Hungary |
| 2010s | 4,010 | 3,590 | 420.55 | Hungary |
| 2020s | 4,155 | 3,839 | 315.5 | Hungary |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher full-time equivalent employment (ilo modelled estimates), Hungary or South Sudan?
- South Sudan, at 4,177 against 4,110 in Hungary as of 2023.
- What is the difference in full-time equivalent employment (ilo modelled estimates) between Hungary and South Sudan?
- 67, with South Sudan ahead.
- How many years of comparable data are there for Hungary and South Sudan?
- 19 years are reported by both, from 2005 to 2023.
- How do Hungary and South Sudan rank globally for full-time equivalent employment (ilo modelled estimates)?
- Hungary ranks 87th and South Sudan ranks 84th of 188 countries.
- Where does this data come from?
- International Labour Organization, published as Full-time equivalent employment (ILO modelled estimates) (Based on 40 hours per week). 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 total weekly hours actually worked for employed persons in their main job divided by 40 or 48. For more information, refer to the ILO Modelled Estimates (ILOEST) database description.