Argentina vs South Africa: Share of Employees in [industry] out of total employment in

Argentina
75.25 %
in 2024
South Africa
91.52 %
in 2024
Argentina rank
5th
South Africa rank
3rd

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

  • Argentina
  • South Africa
020406080100200020122024

How they compare

South Africa currently reports 91.52 % against 75.25 % in Argentina, a difference of 16.27 %.

That makes South Africa's figure about 1.2 times Argentina's.

Across all 12 years both countries report, South Africa has been ahead every year.

Argentina ranks 5th and South Africa ranks 3rd of 68 countries.

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

Head to head by decade

Decade Argentina South Africa Difference Ahead
2010s 68.92 % 91.19 % 22.28 % South Africa
2020s 71.95 % 90.2 % 18.25 % South Africa

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, Argentina or South Africa?
South Africa, at 91.52 % against 75.25 % in Argentina as of 2024.
What is the difference in share of employees in [industry] out of total employment in between Argentina and South Africa?
16.27 %, with South Africa ahead.
How many years of comparable data are there for Argentina and South Africa?
12 years are reported by both, from 2011 to 2024.
How do Argentina and South Africa rank globally for share of employees in [industry] out of total employment in?
Argentina ranks 5th and South Africa ranks 3rd of 68 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]: Agricultural employment — Value — Male — All age ranges or no breakdown by age — National — Agriculture. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

Share, cite or embed this page

Cite this page

Argentina vs South Africa: 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://agriculture.statizoid.com/compare/share-of-employees-in-industry-out-of-total-employment-in-industry-by-sex-agricultural/argentina/south-africa/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under CC BY-NC-SA 3.0 IGO (FAO); please keep the attribution.

<a href="https://agriculture.statizoid.com/compare/share-of-employees-in-industry-out-of-total-employment-in-industry-by-sex-agricultural/argentina/south-africa/">Argentina vs South Africa: 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]: Agricultural employment — Value — Male — All age ranges or no breakdown by age — National — Agriculture
Unit
%
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
77 places, 1,153 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.