Cameroon vs Peru: Persons outside the labour force (ILO modelled estimates)
Persons outside the labour force (ILO modelled estimates) over time
- Cameroon
- Peru
How they compare
Peru currently reports 7,357 against 6,613 in Cameroon, a difference of 744.
That makes Peru's figure about 1.1 times Cameroon's.
Across all 38 years both countries report, Peru has been ahead every year.
Cameroon ranks 55th and Peru ranks 52nd of 188 countries.
Peru has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Cameroon | Peru | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 1,249 | 5,608 | 4,359 | Peru |
| 2000s | 1,774 | 5,042 | 3,268 | Peru |
| 2010s | 3,637 | 4,992 | 1,355 | Peru |
| 2020s | 5,839 | 7,107 | 1,268 | Peru |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher persons outside the labour force (ilo modelled estimates), Cameroon or Peru?
- Peru, at 7,357 against 6,613 in Cameroon as of 2027.
- What is the difference in persons outside the labour force (ilo modelled estimates) between Cameroon and Peru?
- 744, with Peru ahead.
- How many years of comparable data are there for Cameroon and Peru?
- 38 years are reported by both, from 1990 to 2027.
- How do Cameroon and Peru rank globally for persons outside the labour force (ilo modelled estimates)?
- Cameroon ranks 55th and Peru ranks 52nd 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.