Namibia vs Peru: Average hourly earnings of employees in rural areas (2021 base)
Average hourly earnings of employees in rural areas (2021 base) over time
- Namibia
- Peru
How they compare
Peru currently reports 4.25 USD_PPP/cap against 4.02 USD_PPP/cap in Namibia, a difference of 0.23 USD_PPP/cap.
That makes Peru's figure about 1.1 times Namibia's.
Across all 5 years both countries report, Namibia has been ahead every year.
Namibia ranks 18th and Peru ranks 17th of 34 countries.
Namibia has averaged higher in every one of the 1 decades both report.
Frequently asked questions
- Which has higher average hourly earnings of employees in rural areas (2021 base), Namibia or Peru?
- Peru, at 4.25 USD_PPP/cap against 4.02 USD_PPP/cap in Namibia as of 2024.
- What is the difference in average hourly earnings of employees in rural areas (2021 base) between Namibia and Peru?
- 0.23 USD_PPP/cap, with Peru ahead.
- How many years of comparable data are there for Namibia and Peru?
- 5 years are reported by both, from 2012 to 2018.
- How do Namibia and Peru rank globally for average hourly earnings of employees in rural areas (2021 base)?
- Namibia ranks 18th and Peru ranks 17th of 34 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Average hourly earnings of employees in rural areas (2021 base period) — Value — All age ranges or no breakdown by age — National. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The Suite of Gender Indicators presents a set of indicators relevant to agrifood systems that are disaggregated by sex, with the aim of highlighting gender differences across agrifood systems. The initial set of indicators is based on those used in FAO’s 2023 Status of Women in Agrifood Systems (SWAFS) report and on the recommendations of an expert consultation held in December 2023, and covers key dimensions including economic participation, governance, agency, social norms, assets and services, education, health, and nutrition. Indicator selection was informed by expert judgment and by the availability of data with sufficient geographic and temporal coverage to enable meaningful comparisons across regions and over time. While most indicators are produced and published by FAO and other international organizations, the objective of this domain is to provide a one-stop shop for sex-disaggregated data on agrifood systems.