Bolivia (Plurinational State of) vs Viet Nam: Gender gap in the share of Employees in [industry]: Non-agricultural

Bolivia (Plurinational State of)
18.5 %
in 2024
Viet Nam
6.45 %
in 2024
Bolivia (Plurinational State of) rank
3rd
Viet Nam rank
4th

Gender gap in the share of Employees in [industry]: Non-agricultural over time

  • Bolivia (Plurinational State of)
  • Viet Nam
01020304050200020122024

How they compare

Bolivia (Plurinational State of) currently reports 18.5 % against 6.45 % in Viet Nam, a difference of 12.05 %.

That makes Bolivia (Plurinational State of)'s figure about 2.9 times Viet Nam's.

Across all 13 years both countries report, Bolivia (Plurinational State of) has been ahead every year.

Bolivia (Plurinational State of) ranks 3rd and Viet Nam ranks 4th of 5 countries.

Bolivia (Plurinational State of) has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade Bolivia (Plurinational State of) Viet Nam Difference Ahead
2010s 31.88 % 5.71 % 26.16 % Bolivia (Plurinational State of)
2020s 22.97 % 5.81 % 17.16 % Bolivia (Plurinational State of)

Averages of every year both report within each decade.

Frequently asked questions

Which has higher gender gap in the share of employees in [industry]: non-agricultural, Bolivia (Plurinational State of) or Viet Nam?
Bolivia (Plurinational State of), at 18.5 % against 6.45 % in Viet Nam as of 2024.
What is the difference in gender gap in the share of employees in [industry]: non-agricultural between Bolivia (Plurinational State of) and Viet Nam?
12.05 %, with Bolivia (Plurinational State of) ahead.
How many years of comparable data are there for Bolivia (Plurinational State of) and Viet Nam?
13 years are reported by both, from 2011 to 2024.
How do Bolivia (Plurinational State of) and Viet Nam rank globally for gender gap in the share of employees in [industry]: non-agricultural?
Bolivia (Plurinational State of) ranks 3rd and Viet Nam ranks 4th of 5 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Gender gap in the share of Employees in [industry]: Non-agricultural employment — 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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Bolivia (Plurinational State of) vs Viet Nam: Gender gap in the share of Employees in [industry]: Non-agricultural. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 18 September 2026, from https://agriculture.statizoid.com/compare/gender-gap-in-the-share-of-employees-in-industry-non-agricultural-employment-value-all/bolivia-plurinational-state-of/viet-nam-2/

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<a href="https://agriculture.statizoid.com/compare/gender-gap-in-the-share-of-employees-in-industry-non-agricultural-employment-value-all/bolivia-plurinational-state-of/viet-nam-2/">Bolivia (Plurinational State of) vs Viet Nam: Gender gap in the share of Employees in [industry]: Non-agricultural</a> — Statizoid

About this data

Indicator
Gender gap in the share of Employees in [industry]: Non-agricultural employment — 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
61 places, 1,000 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.