Lithuania vs Paraguay: LU2: Combined rate of time-related underemployment and unemployment
LU2: Combined rate of time-related underemployment and unemployment over time
- Lithuania
- Paraguay
How they compare
Paraguay currently reports 8.26 against 8.19 in Lithuania, a difference of 0.07.
The two have swapped places 3 times across 23 shared years of data; in 2005 it was Lithuania ahead.
Lithuania ranks 119th and Paraguay ranks 116th of 188 countries.
Across the 3 decades both report, Lithuania averaged higher in 1 and Paraguay in 2.
Head to head by decade
| Decade | Lithuania | Paraguay | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 9.84 | 11.25 | 1.41 | Paraguay |
| 2010s | 12.62 | 11.67 | 0.9524 | Lithuania |
| 2020s | 8.44 | 10.68 | 2.24 | Paraguay |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher lu2: combined rate of time-related underemployment and unemployment, Lithuania or Paraguay?
- Paraguay, at 8.26 against 8.19 in Lithuania as of 2027.
- What is the difference in lu2: combined rate of time-related underemployment and unemployment between Lithuania and Paraguay?
- 0.07, with Paraguay ahead.
- How many years of comparable data are there for Lithuania and Paraguay?
- 23 years are reported by both, from 2005 to 2027.
- How do Lithuania and Paraguay rank globally for lu2: combined rate of time-related underemployment and unemployment?
- Lithuania ranks 119th and Paraguay ranks 116th of 188 countries.
- Where does this data come from?
- International Labour Organization, published as LU2: Combined rate of time-related underemployment and unemployment (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. LU2 represents the share of the labour force that are either in unemployment or time-related underemployment. For more information, refer to the ILO Modelled Estimates (ILOEST) database description.