Gender gap in informal employment by industry: Agrifood systems — Value — All age ranges or no breakdown by age — National — Agrifood systems by country
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...
What the numbers show
Gender gap in informal employment by industry: Agrifood systems — Value — All age ranges or no breakdown by age — National — Agrifood systems is currently reported for 42 countries. The highest value is 23.29 % in Grenada; the lowest is -23.98 % in Kyrgyzstan.
The median across all reporting countries is -2.77 %, and the mean is -4 %.
Over the past decade 21 countries rose and 21 fell. The largest increase was in South Africa (up 119.0%), and the largest decrease in Panama (down 2,886.7%).
Gender gap in informal employment by industry: Agrifood systems: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Grenada | 23.29 % | 2023 | up 33.3% | rising |
| 1 | Viet Nam | 1.79 % | 2022 | up 105.7% | volatile |
| 2 | Jordan | 13.4 % | 2023 | up 3.6% | rising |
| 2 | Bolivia (Plurinational State of) | -4.42 % | 2024 | down 107.5% | volatile |
| 3 | South Africa | 4.95 % | 2024 | up 119.0% | volatile |
| 3 | Türkiye | -21.96 % | 2024 | up 31.1% | rising |
| 4 | Botswana | 4.38 % | 2024 | down 22.2% | rising |
| 5 | Dominican Republic | 4.17 % | 2024 | down 90.1% | volatile |
| 6 | Mongolia | 1.71 % | 2024 | down 71.4% | volatile |
| 7 | Honduras | 1.6 % | 2017 | down 93.0% | volatile |
| 8 | Sri Lanka | 1.51 % | 2023 | down 19.7% | volatile |
| 9 | Mexico | 1.4 % | 2024 | down 60.7% | falling |
| 10 | Brazil | 1.23 % | 2024 | up 107.7% | volatile |
| 11 | Colombia | -0.49 % | 2024 | down 101.6% | volatile |
| 12 | El Salvador | -0.68 % | 2024 | down 423.8% | volatile |
| 13 | Uganda | -0.93 % | 2021 | up 5.1% | volatile |
| 14 | Georgia | -1.22 % | 2024 | up 62.3% | rising |
| 15 | Senegal | -1.36 % | 2024 | up 54.4% | rising |
| 16 | Rwanda | -1.5 % | 2024 | up 16.7% | rising |
| 17 | India | -1.78 % | 2024 | down 67.9% | volatile |
| 18 | Mauritius | -1.85 % | 2024 | up 78.6% | rising |
| 19 | Brunei Darussalam | -2.45 % | 2023 | up 38.6% | volatile |
| 20 | Mali | -2.58 % | 2023 | down 148.1% | volatile |
| 21 | Thailand | -2.95 % | 2024 | down 249.7% | volatile |
| 22 | Namibia | -3.74 % | 2018 | up 63.6% | rising |
| 23 | Zambia | -4.04 % | 2023 | up 11.2% | rising |
| 24 | Zimbabwe | -4.33 % | 2024 | up 7.3% | rising |
| 25 | Panama | -4.48 % | 2024 | down 2,886.7% | volatile |
| 26 | Pakistan | -4.62 % | 2025 | up 24.9% | rising |
| 27 | Peru | -5.67 % | 2024 | up 6.7% | volatile |
| 28 | Guatemala | -6.1 % | 2023 | down 338.8% | volatile |
| 29 | Ecuador | -7.22 % | 2024 | down 143.1% | volatile |
| 30 | Bangladesh | -7.95 % | 2024 | down 215.5% | volatile |
| 31 | North Macedonia | -8.44 % | 2024 | down 328.4% | falling |
| 32 | Costa Rica | -10.49 % | 2024 | up 6.9% | rising |
| 33 | Uruguay | -10.62 % | 2024 | down 100.0% | volatile |
| 34 | Palestine, State of | -10.99 % | 2024 | up 0.5% | rising |
| 35 | Egypt | -14.18 % | 2024 | down 16.6% | rising |
| 36 | Myanmar | -17.34 % | 2020 | down 222.3% | falling |
| 37 | Serbia | -17.85 % | 2019 | up 1.6% | falling |
| 38 | Bosnia and Herzegovina | -21.21 % | 2024 | down 623.9% | volatile |
| 39 | Kyrgyzstan | -23.98 % | 2023 | up 37.8% | rising |
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.