Gender gap in earnings of employees in urban areas — Value — All age ranges or no breakdown by age — National 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...

Countries reporting
40
Highest
0.49 %
Uganda
Lowest
-0.17 %
Honduras
Median
0.04 %
Years covered
25
2000–2024
Data points
511

What the numbers show

Gender gap in earnings of employees in urban areas — Value — All age ranges or no breakdown by age — National is currently reported for 40 countries. The highest value is 0.49 % in Uganda; the lowest is -0.17 % in Honduras.

The median across all reporting countries is 0.04 %, and the mean is 0.0532 %.

The gap between the highest and lowest reporting country is a factor of about 3.

Over the past decade 8 countries rose and 20 fell. The largest increase was in Egypt (up 200.0%), and the largest decrease in Timor-Leste (down 422.2%).

Gender gap in earnings of employees in urban areas — Value — All age: full country ranking

#Country LatestYear 10-year changeTrend
1 Uganda 0.49 % 2021 up 44.1% rising
1 Viet Nam 0.1 % 2023 unchanged falling
1 Republic of Moldova 0.1 % 2024 down 33.3% falling
2 Rwanda 0.35 % 2023 down 18.6% falling
3 Mali 0.31 % 2020 up 14.8% rising
3 Bolivia (Plurinational State of) 0.06 % 2024 volatile
4 Armenia 0.22 % 2017 down 12.0% falling
4 Türkiye -0.04 % 2013 rising
5 India 0.18 % 2024 unchanged rising
5 Mongolia 0.18 % 2023 rising
5 United Republic of Tanzania -0.08 % 2020 down 122.2% volatile
6 Timor-Leste -0.47 % 2021 down 422.2% volatile
7 Chile 0.17 % 2024 unchanged rising
7 Namibia 0.17 % 2018 up 54.5% flat
9 Indonesia 0.14 % 2023 up 7.7% falling
9 Switzerland 0.14 % 2024 up 16.7% falling
11 France 0.12 % 2020 unchanged rising
11 Cambodia 0.12 % 2023 down 36.8% rising
13 Brazil 0.11 % 2024 down 26.7% falling
14 Peru 0.1 % 2024 down 9.1% falling
15 Bosnia and Herzegovina 0.09 % 2023 unchanged volatile
15 Zambia 0.09 % 2023 down 50.0% volatile
17 Sri Lanka 0.04 % 2022 unchanged volatile
17 Greece 0.04 % 2020 unchanged rising
19 Mexico 0.03 % 2024 volatile
19 Egypt 0.03 % 2023 up 200.0% volatile
21 Dominican Republic 0.01 % 2024 up 110.0% volatile
22 Colombia 0 % 2024 down 100.0% volatile
22 Thailand 0 % 2024 down 100.0% volatile
22 Bhutan 0 % 2022 volatile
25 El Salvador -0.01 % 2023 up 80.0% volatile
26 Costa Rica -0.03 % 2024 down 123.1% volatile
26 Myanmar -0.03 % 2020 down 115.8% volatile
28 Jordan -0.04 % 2023 down 150.0% volatile
29 Paraguay -0.05 % 2024 down 162.5% volatile
29 Panama -0.05 % 2024 down 150.0% volatile
31 Jamaica -0.06 % 2014 down 160.0% volatile
32 Philippines -0.1 % 2023 down 100.0% volatile
33 Pakistan -0.13 % 2021 down 360.0% volatile
34 Honduras -0.17 % 2024 down 13.3% volatile

Regions and income groups

Aggregates are excluded from the country ranking above so that a region can never outrank a country.

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Gender gap in earnings of employees in urban areas — Value — All age by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 16 September 2026, from https://economy.statizoid.com/stat/gender-gap-in-earnings-of-employees-in-urban-areas-value-all-age-ranges-or-no-breakdown/

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About this data

Indicator
Gender gap in earnings of employees in urban areas — Value — All age ranges or no breakdown by age — National
Unit
%
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
41 places, 511 data points, 2000–2024
Last refreshed

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.