Low Income Food Deficit Countries (LIFDCs) vs Uzbekistan: Gender gap in share of employment in industry: Employment in off-farm

Low Income Food Deficit Countries (LIFDCs)
-19.28 %
in 2023
Uzbekistan
27.42 %
in 2023
Low Income Food Deficit Countries (LIFDCs) rank
26th
Uzbekistan rank
29th

Gender gap in share of employment in industry: Employment in off-farm over time

  • Low Income Food Deficit Countries (LIFDCs)
  • Uzbekistan
-2002040200020112023

How they compare

Uzbekistan currently reports 27.42 % against -19.28 % in Low Income Food Deficit Countries (LIFDCs), a difference of 46.7 %.

That makes Uzbekistan's figure about 1.4 times Low Income Food Deficit Countries (LIFDCs)'s.

Across all 24 years both countries report, Uzbekistan has been ahead every year.

Low Income Food Deficit Countries (LIFDCs) ranks 26th and Uzbekistan ranks 29th of 31 groups.

Uzbekistan has averaged higher in every one of the 3 decades both report.

Head to head by decade

Decade Low Income Food Deficit Countries (LIFDCs) Uzbekistan Difference Ahead
2000s 4.41 % 37.03 % 32.61 % Uzbekistan
2010s -0.896 % 36.39 % 37.28 % Uzbekistan
2020s -9.04 % 30.91 % 39.95 % Uzbekistan

Averages of every year both report within each decade.

Frequently asked questions

Which has higher gender gap in share of employment in industry: employment in off-farm, Low Income Food Deficit Countries (LIFDCs) or Uzbekistan?
Uzbekistan, at 27.42 % against -19.28 % in Low Income Food Deficit Countries (LIFDCs) as of 2023.
What is the difference in gender gap in share of employment in industry: employment in off-farm between Low Income Food Deficit Countries (LIFDCs) and Uzbekistan?
46.7 %, with Uzbekistan ahead.
How many years of comparable data are there for Low Income Food Deficit Countries (LIFDCs) and Uzbekistan?
24 years are reported by both, from 2000 to 2023.
How do Low Income Food Deficit Countries (LIFDCs) and Uzbekistan rank globally for gender gap in share of employment in industry: employment in off-farm?
Low Income Food Deficit Countries (LIFDCs) ranks 26th and Uzbekistan ranks 29th of 31 groups.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Gender gap in share of employment in industry: Employment in off-farm agrifood systems — Value — All age ranges or no breakdown by age — National — Non-agricultural agrifood systems. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Low Income Food Deficit Countries (LIFDCs) vs Uzbekistan: Gender gap in share of employment in industry: Employment in off-farm. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 18 September 2026, from https://agriculture.statizoid.com/compare/gender-gap-in-share-of-employment-in-industry-employment-in-off-farm-agrifood-systems/low-income-food-deficit-countries-lifdcs/uzbekistan/

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About this data

Indicator
Gender gap in share of employment in industry: Employment in off-farm agrifood systems — Value — All age ranges or no breakdown by age — National — Non-agricultural agrifood systems
Unit
%
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
206 places, 4,710 data points, 2000–2023
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.