FAO Model — Share of females in non-agricultural AFS employment in South Africa

South Africa: FAO Model — Share of females in non-agricultural AFS employment was 45.21 % in 2023. ▼ Falling

Latest (2023)
45.21 %
Change on year
down 0.1%
World rank
78th
of 125 countries
All-time high
54.66 %
in 2007
All-time low
44.83 %
in 2021
Years of data
24
2000–2023

FAO Model — Share of females in non-agricultural AFS employment in South Africa, 2000–2023

02040602000201120232000: 47.6 %2001: 51.5 %2002: 51.6 %2003: 51.3 %2004: 50.5 %2005: 52.6 %2006: 54.1 %2007: 54.7 %2008: 47.5 %2009: 47.6 %2010: 46.5 %2011: 47.1 %2012: 47.1 %2013: 47.5 %2014: 46.4 %2015: 46.9 %2016: 47.4 %2017: 48.1 %2018: 47.9 %2019: 47.1 %2020: 46 %2021: 44.8 %2022: 45.3 %2023: 45.2 %

Source: Food and Agriculture Organization of the United Nations. Measured in %.

Analysis

The most recent figure for fao model — share of females in non-agricultural afs employment in South Africa is 45.21 %, measured in 2023.

Compared with earlier readings it is down 0.1% on the previous year and down 4.9% over ten years.

Over the whole period, fao model — share of females in non-agricultural afs employment in South Africa peaked at 54.66 % in 2007 and was at its lowest, 44.83 %, in 2021.

South Africa ranks 78th of 125 countries on this measure, in the middle of the range.

The long-run direction has been consistently falling across the 24 years of available data.

FAO Model — Share of females in non-agricultural AFS employment in South Africa, year by year

Annual values for FAO Model — Share of females in non-agricultural AFS employment — Female — Value in South Africa, 2000 to 2023.
Year % Change
2000 47.57 %
2001 51.51 % +8.3%
2002 51.62 % +0.2%
2003 51.26 % -0.7%
2004 50.49 % -1.5%
2005 52.59 % +4.2%
2006 54.11 % +2.9%
2007 54.66 % +1.0%
2008 47.51 % -13.1%
2009 47.63 % +0.3%
2010 46.49 % -2.4%
2011 47.09 % +1.3%
2012 47.06 % -0.1%
2013 47.53 % +1.0%
2014 46.4 % -2.4%
2015 46.87 % +1.0%
2016 47.35 % +1.0%
2017 48.1 % +1.6%
2018 47.89 % -0.4%
2019 47.06 % -1.7%
2020 46.03 % -2.2%
2021 44.83 % -2.6%
2022 45.26 % +1.0%
2023 45.21 % -0.1%

South Africa compared with similar countries

  • South Africa's 45.21 % is below the median for upper middle income countries, which is 47.17 %, 96% of the median. (32 countries reporting)
  • South Africa's 45.21 % is below the median for Sub-Saharan Africa, which is 55.58 %, 81% of the median. (34 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
2000s 50.89 % 47.51 % 54.66 % 10
2010s 47.18 % 46.4 % 48.1 % 10
2020s 45.33 % 44.83 % 46.03 % 4

Countries ranked near South Africa

  1. 75 Philippines 45.8 % compare
  2. 76 Guyana 45.43 % compare
  3. 77 Austria 45.37 % compare
  4. 79 Spain 44.98 % compare
  5. 80 Germany 43.51 % compare
  6. 81 Dominican Republic 43.38 % compare

See the full ranking of 171 places →

More agriculture & rural data for South Africa

All data for South Africa →

Frequently asked questions

What is fao model — share of females in non-agricultural afs employment in South Africa?
Fao model — share of females in non-agricultural afs employment in South Africa was 45.21 % in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest fao model — share of females in non-agricultural afs employment recorded in South Africa?
The highest recorded value was 54.66 % in 2007.
What is the lowest fao model — share of females in non-agricultural afs employment recorded in South Africa?
The lowest recorded value was 44.83 % in 2021.
How does South Africa rank for fao model — share of females in non-agricultural afs employment?
South Africa ranks 78th out of 125 countries with data for 2023.
Is fao model — share of females in non-agricultural afs employment rising or falling in South Africa?
Over the last ten years it is down 4.9%. The long-run trend across the full record is falling.
Where does this South Africa data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of FAO Model — Share of females in non-agricultural AFS employment — Female — Value. Statizoid updates them automatically from the source API.

Download this data

CSV · JSON — 24 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).

Share, cite or embed this page

Cite this page

FAO Model — Share of females in non-agricultural AFS employment in South Africa. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 18 September 2026, from https://agriculture.statizoid.com/stat/fao-model-share-of-females-in-non-agricultural-afs-employment-female-value/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/stat/fao-model-share-of-females-in-non-agricultural-afs-employment-female-value/south-africa/">FAO Model — Share of females in non-agricultural AFS employment in South Africa</a> — Statizoid

About this data

Indicator
FAO Model — Share of females in non-agricultural AFS employment — Female — Value
Unit
%
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
171 places, 3,932 data points, 2000–2023
Last refreshed

The FAOSTAT Employment indicators domain focuses on indicators related to employment in agrifood systems and rural areas. The update is performed yearly, using data from the International Labour Organization (ILO) database that contains a rich set of indicators from a wide range of topics related to labour statistics. The indicators published in FAOSTAT are derived from the labour force statistics (LFS) and rural and urban labour markets (RURURB) databases of the ILOSTAT database. In addition, the ILO modelled estimates and projections (ILOEST) are used to provide information on employment in agriculture. FAOSTAT also publishes indicators on employment in agrifood systems (AFS) from 2000 at the national, regional, and global levels, using a methodology developed by the FAO to estimate the number of people employed within these systems.