Venezuela (Bolivarian Republic of) vs Viet Nam: Share of Employees in [industry] out of total employment in

Venezuela (Bolivarian Republic of)
51.96 %
in 2017
Viet Nam
53.33 %
in 2024
Venezuela (Bolivarian Republic of) rank
4th
Viet Nam rank
3rd

Share of Employees in [industry] out of total employment in over time

  • Venezuela (Bolivarian Republic of)
  • Viet Nam
0204060200520142024

How they compare

Viet Nam currently reports 53.33 % against 51.96 % in Venezuela (Bolivarian Republic of), a difference of 1.37 %.

Across all 7 years both countries report, Venezuela (Bolivarian Republic of) has been ahead every year.

Venezuela (Bolivarian Republic of) ranks 4th and Viet Nam ranks 3rd of 7 countries.

Venezuela (Bolivarian Republic of) has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade Venezuela (Bolivarian Republic of) Viet Nam Difference Ahead
2000s 57.48 % 37.41 % 20.08 % Venezuela (Bolivarian Republic of)
2010s 54.4 % 42.63 % 11.77 % Venezuela (Bolivarian Republic of)

Averages of every year both report within each decade.

Frequently asked questions

Which has higher share of employees in [industry] out of total employment in, Venezuela (Bolivarian Republic of) or Viet Nam?
Viet Nam, at 53.33 % against 51.96 % in Venezuela (Bolivarian Republic of) as of 2024.
What is the difference in share of employees in [industry] out of total employment in between Venezuela (Bolivarian Republic of) and Viet Nam?
1.37 %, with Viet Nam ahead.
How many years of comparable data are there for Venezuela (Bolivarian Republic of) and Viet Nam?
7 years are reported by both, from 2007 to 2017.
How do Venezuela (Bolivarian Republic of) and Viet Nam rank globally for share of employees in [industry] out of total employment in?
Venezuela (Bolivarian Republic of) ranks 4th and Viet Nam ranks 3rd of 7 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Share of Employees in [industry] out of total employment in [industry] by [sex]: Total employment — Value — Male — All age ranges or no breakdown by age — National. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Venezuela (Bolivarian Republic of) vs Viet Nam: Share of Employees in [industry] out of total employment in. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 19 September 2026, from https://economy.statizoid.com/compare/share-of-employees-in-industry-out-of-total-employment-in-industry-by-sex-total/venezuela-bolivarian-republic-of/viet-nam-2/

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<a href="https://economy.statizoid.com/compare/share-of-employees-in-industry-out-of-total-employment-in-industry-by-sex-total/venezuela-bolivarian-republic-of/viet-nam-2/">Venezuela (Bolivarian Republic of) vs Viet Nam: Share of Employees in [industry] out of total employment in</a> — Statizoid

About this data

Indicator
Share of Employees in [industry] out of total employment in [industry] by [sex]: Total employment — Value — Male — 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
77 places, 1,154 data points, 2000–2025
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.