Wage gap by age — Senior to prime-age wage gap in Peru
Peru: Wage gap by age — Senior to prime-age wage gap was -11.68 Percentage of prime-age employees wage in 2022. ▲ Rising
Wage gap by age — Senior to prime-age wage gap in Peru, 2010–2022
Source: Organisation for Economic Co-operation and Development. Measured in Percentage of prime-age employees wage.
Analysis
Peru recorded -11.68 Percentage of prime-age employees wage for wage gap by age — senior to prime-age wage gap in 2022. That is the highest value across all 12 years on record.
Compared with earlier readings it is up 15.3% on the previous year and up 28.6% over ten years.
Over the whole period, wage gap by age — senior to prime-age wage gap in Peru peaked at -11.68 Percentage of prime-age employees wage in 2022 and was at its lowest, -21.4 Percentage of prime-age employees wage, in 2020.
Peru ranks 24th of 36 countries on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 12 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | -18.11 Percentage of prime-age employees wage | -21.23 Percentage of prime-age employees wage | -16.36 Percentage of prime-age employees wage | 9 |
| 2020s | -15.62 Percentage of prime-age employees wage | -21.4 Percentage of prime-age employees wage | -11.68 Percentage of prime-age employees wage | 3 |
Countries ranked near Peru
- 21 Iceland -7.39 Percentage of prime-age employees wage compare
- 22 Norway -10.99 Percentage of prime-age employees wage compare
- 23 Israel -11.52 Percentage of prime-age employees wage compare
- 25 Switzerland -13.25 Percentage of prime-age employees wage compare
- 26 Spain -13.94 Percentage of prime-age employees wage compare
- 27 Brazil -15.55 Percentage of prime-age employees wage compare
More work & labour data for Peru
- Population - Est. & Proj. — Total Population - Both sexes, annual -0.4349 % change on previous year (2100)
- Population - Est. & Proj. — Total Population - Male, annual growth -0.4225 % change on previous year (2100)
- Population - Est. & Proj. — Total Population - Female, annual growth -0.4473 % change on previous year (2100)
- Population - Est. & Proj. — Rural population, annual growth rate -1.29 % change on previous year (2050)
- Population - Est. & Proj. — Urban population, annual growth rate 0.6786 % change on previous year (2050)
- Population - Est. & Proj. — Urban population 35,667 1000 No (2050)
- Population - Est. & Proj. — Rural population 5,953 1000 No (2050)
- Population - Est. & Proj. — Total Population - Female 19,027 1000 No (2100)
- Population - Est. & Proj. — Total Population - Male 19,136 1000 No (2100)
- Population - Est. & Proj. — Total Population - Both sexes 38,163 1000 No (2100)
Frequently asked questions
- What is wage gap by age — senior to prime-age wage gap in Peru?
- Wage gap by age — senior to prime-age wage gap in Peru was -11.68 Percentage of prime-age employees wage in 2022, according to Organisation for Economic Co-operation and Development.
- What is the highest wage gap by age — senior to prime-age wage gap recorded in Peru?
- The highest recorded value was -11.68 Percentage of prime-age employees wage in 2022.
- What is the lowest wage gap by age — senior to prime-age wage gap recorded in Peru?
- The lowest recorded value was -21.4 Percentage of prime-age employees wage in 2020.
- How does Peru rank for wage gap by age — senior to prime-age wage gap?
- Peru ranks 24th out of 36 countries with data for 2022.
- Is wage gap by age — senior to prime-age wage gap rising or falling in Peru?
- Over the last ten years it is up 28.6%. The long-run trend across the full record is rising.
- Where does this Peru data come from?
- The figures come from Organisation for Economic Co-operation and Development, published as part of Wage gap by age — Senior to prime-age wage gap. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 12 observations, free to reuse under OECD Terms and Conditions (attribution required).
About this data
This dataset contains age wage gaps defined as the difference between mean (median) earnings of 25-54 year-olds and that of 15-24 year-olds (respectively 55-64 year-olds) relative to mean (median) earnings of 25-54 year-olds. Earnings refer to gross earnings of full-time dependent employees unless otherwise indicated.