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

Sub-Saharan Africa: FAO Model — Share of females in non-agricultural AFS employment was 64.03 % in 2023. ▬ Flat

Latest (2023)
64.03 %
Change on year
up 3.4%
Rank
3rd
of 31 groups
All-time high
64.03 %
in 2023
All-time low
58.48 %
in 2004
Years of data
24
2000–2023

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

02040602000201120232000: 60 %2001: 60.4 %2002: 59.9 %2003: 60 %2004: 58.5 %2005: 59.9 %2006: 59 %2007: 60.7 %2008: 60.4 %2009: 60.1 %2010: 60.6 %2011: 59.6 %2012: 60 %2013: 60.4 %2014: 60.5 %2015: 60.6 %2016: 60.8 %2017: 61 %2018: 60 %2019: 60 %2020: 60.2 %2021: 60.4 %2022: 61.9 %2023: 64 %

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

Analysis

Sub-Saharan Africa recorded 64.03 % for fao model — share of females in non-agricultural afs employment in 2023. That is the highest value across all 24 years on record.

The figure is up 3.4% on the previous year and up 6.1% over ten years.

Over the whole period, fao model — share of females in non-agricultural afs employment in Sub-Saharan Africa peaked at 64.03 % in 2023 and was at its lowest, 58.48 %, in 2004.

That places Sub-Saharan Africa 3rd out of 31 groups with data for 2023, putting it in the top 10%.

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

Annual values for FAO Model — Share of females in non-agricultural AFS employment — Female — Value in Sub-Saharan Africa, 2000 to 2023.
Year % Change
2000 60.05 %
2001 60.38 % +0.5%
2002 59.91 % -0.8%
2003 59.99 % +0.1%
2004 58.48 % -2.5%
2005 59.89 % +2.4%
2006 58.99 % -1.5%
2007 60.72 % +2.9%
2008 60.36 % -0.6%
2009 60.13 % -0.4%
2010 60.6 % +0.8%
2011 59.62 % -1.6%
2012 59.96 % +0.6%
2013 60.36 % +0.7%
2014 60.51 % +0.2%
2015 60.6 % +0.1%
2016 60.78 % +0.3%
2017 60.99 % +0.3%
2018 59.95 % -1.7%
2019 59.96 % +0.0%
2020 60.25 % +0.5%
2021 60.37 % +0.2%
2022 61.94 % +2.6%
2023 64.03 % +3.4%

Averages by decade

DecadeAverage LowestHighest Years
2000s 59.89 % 58.48 % 60.72 % 10
2010s 60.33 % 59.62 % 60.99 % 10
2020s 61.65 % 60.25 % 64.03 % 4

Countries ranked near Sub-Saharan Africa

  1. 1 Tonga 82.58 % compare
  2. 1 Polynesia 78.2 % compare
  3. 2 Ethiopia 74.63 % compare
  4. 2 Melanesia 63.53 % compare
  5. 3 Benin 73.84 % compare
  6. 3 Bolivia (Plurinational State of) 62.88 % compare
  7. 4 Côte d'Ivoire 62.3 % compare
  8. 4 Lao People's Democratic Republic 62.01 % compare
  9. 4 Sierra Leone 73.81 % compare
  10. 5 Timor-Leste 61.71 % compare
  11. 5 Togo 71.52 % compare
  12. 6 Ghana 69.85 % compare
  13. 6 Viet Nam 61.18 % compare

See the full ranking of 171 places →

More agriculture & rural data for Sub-Saharan Africa

All data for Sub-Saharan Africa →

Frequently asked questions

What is fao model — share of females in non-agricultural afs employment in Sub-Saharan Africa?
Fao model — share of females in non-agricultural afs employment in Sub-Saharan Africa was 64.03 % 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 Sub-Saharan Africa?
The highest recorded value was 64.03 % in 2023.
What is the lowest fao model — share of females in non-agricultural afs employment recorded in Sub-Saharan Africa?
The lowest recorded value was 58.48 % in 2004.
How does Sub-Saharan Africa rank for fao model — share of females in non-agricultural afs employment?
Sub-Saharan Africa ranks 3rd out of 31 groups with data for 2023.
Is fao model — share of females in non-agricultural afs employment rising or falling in Sub-Saharan Africa?
Over the last ten years it is up 6.1%. The long-run trend across the full record is flat.
Where does this Sub-Saharan 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 Sub-Saharan 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/sub-saharan-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/sub-saharan-africa/">FAO Model — Share of females in non-agricultural AFS employment in Sub-Saharan 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.