Argentina vs Peru: Full-time equivalent employment (ILO modelled estimates)
Full-time equivalent employment (ILO modelled estimates) over time
- Argentina
- Peru
How they compare
Argentina currently reports 18,732 against 17,805 in Peru, a difference of 927.
That makes Argentina's figure about 1.1 times Peru's.
The two have swapped places 2 times across 23 shared years of data; in 2005 it was Argentina ahead.
Argentina ranks 32nd and Peru ranks 35th of 188 countries.
Argentina has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Argentina | Peru | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 15,719 | 14,238 | 1,482 | Argentina |
| 2010s | 16,449 | 15,832 | 617.28 | Argentina |
| 2020s | 17,412 | 16,689 | 723.1 | Argentina |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher full-time equivalent employment (ilo modelled estimates), Argentina or Peru?
- Argentina, at 18,732 against 17,805 in Peru as of 2027.
- What is the difference in full-time equivalent employment (ilo modelled estimates) between Argentina and Peru?
- 927, with Argentina ahead.
- How many years of comparable data are there for Argentina and Peru?
- 23 years are reported by both, from 2005 to 2027.
- How do Argentina and Peru rank globally for full-time equivalent employment (ilo modelled estimates)?
- Argentina ranks 32nd and Peru ranks 35th 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.