Gender gap in earnings of employees in agriculture — Value — All age in Bhutan
Bhutan: Gender gap in earnings of employees in agriculture — Value — All age was 0.28 % in 2022. ▼ Falling
Gender gap in earnings of employees in agriculture — Value — All age in Bhutan, 2018–2022
Source: Food and Agriculture Organization of the United Nations. Measured in %.
Analysis
Bhutan recorded 0.28 % for gender gap in earnings of employees in agriculture — value — all age in 2022.
That represents a change of down 33.3% on the previous year and down 41.7% over five years.
Bhutan ranks 7th of 43 countries on this measure, in the top quarter.
Gender gap in earnings of employees in agriculture — Value — All age in Bhutan, year by year
| Year | % | Change |
|---|---|---|
| 2018 | 0.48 % | — |
| 2019 | 0.35 % | -27.1% |
| 2020 | 0.13 % | -62.9% |
| 2021 | 0.42 % | +223.1% |
| 2022 | 0.28 % | -33.3% |
Bhutan compared with similar countries
- Bhutan's 0.28 % is above the median for lower middle income countries, which is 0.16 %, 1.8× the median. (10 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.415 % | 0.35 % | 0.48 % | 2 |
| 2020s | 0.2767 % | 0.13 % | 0.42 % | 3 |
Countries ranked near Bhutan
More agriculture & rural data for Bhutan
- Agriculture, forestry, and fishing, value added (current US$), annual 3.41 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.1368 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 614.64 current US$ per person (2025)
- Rural population, annual growth rate -0.8653 % change on previous year (2025)
- Rural population, per unit of GDP 0.0001 units per US$ of GDP (2025)
- Rural population, per capita 0.5657 units per person (2025)
- Share of GDP from agriculture 13.7% (2025)
- Agriculture as a share of GDP vs. GDP per capita 13.7% (2025)
- Agricultural raw materials exports 2.0% (2025)
- Agricultural raw materials imports 1.8% (2025)
Frequently asked questions
- What is gender gap in earnings of employees in agriculture — value — all age in Bhutan?
- Gender gap in earnings of employees in agriculture — value — all age in Bhutan was 0.28 % in 2022, according to Food and Agriculture Organization of the United Nations.
- What is the highest gender gap in earnings of employees in agriculture — value — all age recorded in Bhutan?
- The highest recorded value was 0.48 % in 2018.
- What is the lowest gender gap in earnings of employees in agriculture — value — all age recorded in Bhutan?
- The lowest recorded value was 0.13 % in 2020.
- How does Bhutan rank for gender gap in earnings of employees in agriculture — value — all age?
- Bhutan ranks 7th out of 43 countries with data for 2022.
- Where does this Bhutan data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Gender gap in earnings of employees in agriculture — Value — All age ranges or no breakdown by age — National. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 5 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
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.