India vs Mongolia: Gender gap in earnings of employees in urban areas — Value — All age
Gender gap in earnings of employees in urban areas — Value — All age over time
- India
- Mongolia
How they compare
India currently reports 0.18 % against 0.18 % in Mongolia, a difference of 0 %.
The two have swapped places 1 time across 5 shared years of data; in 2019 it was India ahead.
India ranks 5th and Mongolia ranks 5th of 34 countries.
India has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | India | Mongolia | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.14 % | 0.09 % | 0.05 % | India |
| 2020s | 0.16 % | 0.1275 % | 0.0325 % | India |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher gender gap in earnings of employees in urban areas — value — all age, India or Mongolia?
- India, at 0.18 % against 0.18 % in Mongolia as of 2024.
- What is the difference in gender gap in earnings of employees in urban areas — value — all age between India and Mongolia?
- 0 %, with India ahead.
- How many years of comparable data are there for India and Mongolia?
- 5 years are reported by both, from 2019 to 2023.
- How do India and Mongolia rank globally for gender gap in earnings of employees in urban areas — value — all age?
- India ranks 5th and Mongolia ranks 5th of 34 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Gender gap in earnings of employees in urban areas — 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.