P-Value: Public sector wage premium, by education level in Peru
Peru: P-Value: Public sector wage premium, by education level was 0 compared to formal wage employees in 2021. ◆ Volatile
P-Value: Public sector wage premium, by education level in Peru, 2000–2021
Source: World Bank. Measured in compared to formal wage employees.
Analysis
The most recent figure for p-value: public sector wage premium, by education level in Peru is 0 compared to formal wage employees, measured in 2021. That is the lowest value across all 18 years on record.
Compared with earlier readings it is down 100.0% over ten years.
Over the whole period, p-value: public sector wage premium, by education level in Peru peaked at 0.1959 compared to formal wage employees in 2016 and was at its lowest, 0 compared to formal wage employees, in 2017.
Peru ranks 47th of 54 countries on this measure, in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 0 compared to formal wage employees | 0 compared to formal wage employees | 0.0001 compared to formal wage employees | 9 |
| 2010s | 0.0245 compared to formal wage employees | 0 compared to formal wage employees | 0.1959 compared to formal wage employees | 8 |
| 2020s | 0 compared to formal wage employees | 0 compared to formal wage employees | 0 compared to formal wage employees | 1 |
Countries ranked near Peru
- 44 Panama 0 compared to formal wage employees compare
- 45 Dominican Republic 0 compared to formal wage employees compare
- 46 Chile 0 compared to formal wage employees compare
- 47 Armenia 0 compared to formal wage employees compare
- 47 Brazil 0 compared to formal wage employees compare
- 47 Colombia 0 compared to formal wage employees compare
- 47 Costa Rica 0 compared to formal wage employees compare
- 47 Ecuador 0 compared to formal wage employees compare
- 47 El Salvador 0 compared to formal wage employees compare
- 47 Türkiye 0 compared to formal wage employees compare
More reference data data for Peru
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 1.15 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 4.39 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 7.94 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.3808 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 7.94 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 3.84 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 1.94 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 18.98 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 35.25 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 2.07 (2050)
Frequently asked questions
- What is p-value: public sector wage premium, by education level in Peru?
- P-value: public sector wage premium, by education level in Peru was 0 compared to formal wage employees in 2021, according to the World Bank.
- What is the highest p-value: public sector wage premium, by education level recorded in Peru?
- The highest recorded value was 0.1959 compared to formal wage employees in 2016.
- What is the lowest p-value: public sector wage premium, by education level recorded in Peru?
- The lowest recorded value was 0 compared to formal wage employees in 2017.
- How does Peru rank for p-value: public sector wage premium, by education level?
- Peru ranks 47th out of 54 countries with data for 2021.
- Is p-value: public sector wage premium, by education level rising or falling in Peru?
- Over the last ten years it is down 100.0%. The long-run trend across the full record is volatile.
- Where does this Peru data come from?
- The figures come from the World Bank, published as part of P-Value: Public sector wage premium, by education level (compared to formal wage employees). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 18 observations, free to reuse under CC BY 4.0 (World Bank Open Data).