Hungary vs Sweden: Persons outside the labour force (ILO modelled estimates)
Persons outside the labour force (ILO modelled estimates) over time
- Hungary
- Sweden
How they compare
Hungary currently reports 3,234 against 3,218 in Sweden, a difference of 16.
Across all 38 years both countries report, Hungary has been ahead every year.
Hungary ranks 85th and Sweden ranks 86th of 188 countries.
Hungary has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Hungary | Sweden | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 4,120 | 2,583 | 1,537 | Hungary |
| 2000s | 4,085 | 2,760 | 1,325 | Hungary |
| 2010s | 3,761 | 2,920 | 841.79 | Hungary |
| 2020s | 3,303 | 3,113 | 190.24 | Hungary |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher persons outside the labour force (ilo modelled estimates), Hungary or Sweden?
- Hungary, at 3,234 against 3,218 in Sweden as of 2027.
- What is the difference in persons outside the labour force (ilo modelled estimates) between Hungary and Sweden?
- 16, with Hungary ahead.
- How many years of comparable data are there for Hungary and Sweden?
- 38 years are reported by both, from 1990 to 2027.
- How do Hungary and Sweden rank globally for persons outside the labour force (ilo modelled estimates)?
- Hungary ranks 85th and Sweden ranks 86th of 188 countries.
- Where does this data come from?
- International Labour Organization, published as Persons outside the labour force (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. Persons outside the labour force comprise all persons of working age who, during the specified reference period, were not in the labour force (that is, were not employed or unemployed). For more information, refer to the ILO Modelled Estimates (ILOEST) database description.