Brazil vs Mongolia: Average hourly earnings of employees in rural areas (2021 base)
Average hourly earnings of employees in rural areas (2021 base) over time
- Brazil
- Mongolia
How they compare
Mongolia currently reports 5.23 USD_PPP/cap against 4.68 USD_PPP/cap in Brazil, a difference of 0.55 USD_PPP/cap.
That makes Mongolia's figure about 1.1 times Brazil's.
The two have swapped places 1 time across 5 shared years of data; in 2019 it was Brazil ahead.
Brazil ranks 14th and Mongolia ranks 12th of 34 countries.
Across the 2 decades both report, Brazil averaged higher in 1 and Mongolia in 1.
Head to head by decade
| Decade | Brazil | Mongolia | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 3.53 USD_PPP/cap | 3.37 USD_PPP/cap | 0.16 USD_PPP/cap | Brazil |
| 2020s | 3.94 USD_PPP/cap | 4.6 USD_PPP/cap | 0.655 USD_PPP/cap | Mongolia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher average hourly earnings of employees in rural areas (2021 base), Brazil or Mongolia?
- Mongolia, at 5.23 USD_PPP/cap against 4.68 USD_PPP/cap in Brazil as of 2023.
- What is the difference in average hourly earnings of employees in rural areas (2021 base) between Brazil and Mongolia?
- 0.55 USD_PPP/cap, with Mongolia ahead.
- How many years of comparable data are there for Brazil and Mongolia?
- 5 years are reported by both, from 2019 to 2023.
- How do Brazil and Mongolia rank globally for average hourly earnings of employees in rural areas (2021 base)?
- Brazil ranks 14th and Mongolia ranks 12th 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.