Northern Africa vs Venezuela (Bolivarian Republic of): Gender gap in share of employment in industry: Employment in off-farm

Northern Africa
75.56 %
in 2023
Venezuela (Bolivarian Republic of)
35.64 %
in 2017
Northern Africa rank
1st
Venezuela (Bolivarian Republic of) rank
4th

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

  • Northern Africa
  • Venezuela (Bolivarian Republic of)
020406080200020112023

How they compare

Northern Africa currently reports 75.56 % against 35.64 % in Venezuela (Bolivarian Republic of), a difference of 39.92 %.

That makes Northern Africa's figure about 2.1 times Venezuela (Bolivarian Republic of)'s.

Across all 13 years both countries report, Northern Africa has been ahead every year.

Northern Africa ranks 1st and Venezuela (Bolivarian Republic of) ranks 4th of 31 groups.

Northern Africa has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade Northern Africa Venezuela (Bolivarian Republic of) Difference Ahead
2000s 72.98 % 32.27 % 40.72 % Northern Africa
2010s 71.34 % 30.77 % 40.58 % Northern Africa

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, Northern Africa or Venezuela (Bolivarian Republic of)?
Northern Africa, at 75.56 % against 35.64 % in Venezuela (Bolivarian Republic of) as of 2023.
What is the difference in gender gap in share of employment in industry: employment in off-farm between Northern Africa and Venezuela (Bolivarian Republic of)?
39.92 %, with Northern Africa ahead.
How many years of comparable data are there for Northern Africa and Venezuela (Bolivarian Republic of)?
13 years are reported by both, from 2005 to 2017.
How do Northern Africa and Venezuela (Bolivarian Republic of) rank globally for gender gap in share of employment in industry: employment in off-farm?
Northern Africa ranks 1st and Venezuela (Bolivarian Republic of) ranks 4th 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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Northern Africa vs Venezuela (Bolivarian Republic of): 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/northern-africa/venezuela-bolivarian-republic-of/

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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.