Liberia vs United Arab Emirates: Employment in agrifood systems by subindustry and sex: Off-farm

Liberia
480.3 1000 No
in 2023
United Arab Emirates
488.2 1000 No
in 2023
Liberia rank
67th
United Arab Emirates rank
65th

Employment in agrifood systems by subindustry and sex: Off-farm over time

  • Liberia
  • United Arab Emirates
100200300400500600200020112023

How they compare

United Arab Emirates currently reports 488.2 1000 No against 480.3 1000 No in Liberia, a difference of 7.9 1000 No.

The two have swapped places 2 times across 24 shared years of data; in 2000 it was United Arab Emirates ahead.

Liberia ranks 67th and United Arab Emirates ranks 65th of 136 countries.

United Arab Emirates has averaged higher in every one of the 3 decades both report.

Head to head by decade

Decade Liberia United Arab Emirates Difference Ahead
2000s 174.74 1000 No 331.06 1000 No 156.32 1000 No United Arab Emirates
2010s 267.23 1000 No 506.95 1000 No 239.72 1000 No United Arab Emirates
2020s 342.86 1000 No 418.63 1000 No 75.77 1000 No United Arab Emirates

Averages of every year both report within each decade.

Frequently asked questions

Which has higher employment in agrifood systems by subindustry and sex: off-farm, Liberia or United Arab Emirates?
United Arab Emirates, at 488.2 1000 No against 480.3 1000 No in Liberia as of 2023.
What is the difference in employment in agrifood systems by subindustry and sex: off-farm between Liberia and United Arab Emirates?
7.9 1000 No, with United Arab Emirates ahead.
How many years of comparable data are there for Liberia and United Arab Emirates?
24 years are reported by both, from 2000 to 2023.
How do Liberia and United Arab Emirates rank globally for employment in agrifood systems by subindustry and sex: off-farm?
Liberia ranks 67th and United Arab Emirates ranks 65th of 136 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Employment in agrifood systems by subindustry and sex: 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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Liberia vs United Arab Emirates: Employment in agrifood systems by subindustry and sex: Off-farm. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 18 September 2026, from https://agriculture.statizoid.com/compare/employment-in-agrifood-systems-by-subindustry-and-sex-off-farm-agrifood-systems-value-all/liberia/united-arab-emirates/

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<a href="https://agriculture.statizoid.com/compare/employment-in-agrifood-systems-by-subindustry-and-sex-off-farm-agrifood-systems-value-all/liberia/united-arab-emirates/">Liberia vs United Arab Emirates: Employment in agrifood systems by subindustry and sex: Off-farm</a> — Statizoid

About this data

Indicator
Employment in agrifood systems by subindustry and sex: Off-farm agrifood systems — Value — All age ranges or no breakdown by age — National — Non-agricultural agrifood systems
Unit
1000 No
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
180 places, 4,069 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.