FAO Model — Share of females in non-agricultural AFS employment in Low Income Food Deficit Countries (LIFDCs)

Low Income Food Deficit Countries (LIFDCs): FAO Model — Share of females in non-agricultural AFS employment was 59.64 % in 2023. ▲ Rising

Latest (2023)
59.64 %
Change on year
up 10.1%
Rank
6th
of 31 groups
All-time high
59.64 %
in 2023
All-time low
45.52 %
in 2004
Years of data
24
2000–2023

FAO Model — Share of females in non-agricultural AFS employment in Low Income Food Deficit Countries (LIFDCs), 2000–2023

02040602000201120232000: 46.7 %2001: 47.3 %2002: 47 %2003: 47.3 %2004: 45.5 %2005: 48.9 %2006: 46.6 %2007: 49.5 %2008: 49.6 %2009: 49.5 %2010: 50.2 %2011: 48.9 %2012: 50.2 %2013: 50.4 %2014: 50.5 %2015: 50.6 %2016: 50.9 %2017: 51.1 %2018: 49 %2019: 52.6 %2020: 52.4 %2021: 51.9 %2022: 54.2 %2023: 59.6 %

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

Analysis

In 2023, fao model — share of females in non-agricultural afs employment in Low Income Food Deficit Countries (LIFDCs) stood at 59.64 %. That is the highest value across all 24 years on record.

That represents a change of up 10.1% on the previous year and up 18.3% over ten years.

Over the whole period, fao model — share of females in non-agricultural afs employment in Low Income Food Deficit Countries (LIFDCs) peaked at 59.64 % in 2023 and was at its lowest, 45.52 %, in 2004.

Low Income Food Deficit Countries (LIFDCs) ranks 6th of 31 groups on this measure, in the top quarter.

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

FAO Model — Share of females in non-agricultural AFS employment in Low Income Food Deficit Countries (LIFDCs), year by year

Annual values for FAO Model — Share of females in non-agricultural AFS employment — Female — Value in Low Income Food Deficit Countries (LIFDCs), 2000 to 2023.
Year % Change
2000 46.67 %
2001 47.29 % +1.3%
2002 46.95 % -0.7%
2003 47.34 % +0.8%
2004 45.52 % -3.8%
2005 48.92 % +7.5%
2006 46.63 % -4.7%
2007 49.54 % +6.2%
2008 49.59 % +0.1%
2009 49.49 % -0.2%
2010 50.19 % +1.4%
2011 48.87 % -2.6%
2012 50.24 % +2.8%
2013 50.41 % +0.3%
2014 50.53 % +0.2%
2015 50.65 % +0.2%
2016 50.91 % +0.5%
2017 51.14 % +0.5%
2018 48.97 % -4.2%
2019 52.57 % +7.4%
2020 52.36 % -0.4%
2021 51.91 % -0.9%
2022 54.17 % +4.4%
2023 59.64 % +10.1%

Averages by decade

DecadeAverage LowestHighest Years
2000s 47.79 % 45.52 % 49.59 % 10
2010s 50.45 % 48.87 % 52.57 % 10
2020s 54.52 % 51.91 % 59.64 % 4

Countries ranked near Low Income Food Deficit Countries (LIFDCs)

  1. 3 Benin 73.84 % compare
  2. 3 Bolivia (Plurinational State of) 62.88 % compare
  3. 4 Côte d'Ivoire 62.3 % compare
  4. 4 Lao People's Democratic Republic 62.01 % compare
  5. 4 Sierra Leone 73.81 % compare
  6. 5 Timor-Leste 61.71 % compare
  7. 5 Togo 71.52 % compare
  8. 6 Ghana 69.85 % compare
  9. 6 Viet Nam 61.18 % compare
  10. 7 Liberia 69.73 % compare
  11. 7 Micronesia 60.1 % compare
  12. 8 Nigeria 68.86 % compare
  13. 9 Angola 68.2 % compare
  14. 9 Cabo Verde 53.74 % compare

See the full ranking of 171 places →

More agriculture & rural data for Low Income Food Deficit Countries (LIFDCs)

All data for Low Income Food Deficit Countries (LIFDCs) →

Frequently asked questions

What is fao model — share of females in non-agricultural afs employment in Low Income Food Deficit Countries (LIFDCs)?
Fao model — share of females in non-agricultural afs employment in Low Income Food Deficit Countries (LIFDCs) was 59.64 % 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 Low Income Food Deficit Countries (LIFDCs)?
The highest recorded value was 59.64 % in 2023.
What is the lowest fao model — share of females in non-agricultural afs employment recorded in Low Income Food Deficit Countries (LIFDCs)?
The lowest recorded value was 45.52 % in 2004.
How does Low Income Food Deficit Countries (LIFDCs) rank for fao model — share of females in non-agricultural afs employment?
Low Income Food Deficit Countries (LIFDCs) ranks 6th out of 31 groups with data for 2023.
Is fao model — share of females in non-agricultural afs employment rising or falling in Low Income Food Deficit Countries (LIFDCs)?
Over the last ten years it is up 18.3%. The long-run trend across the full record is rising.
Where does this Low Income Food Deficit Countries (LIFDCs) 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.

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FAO Model — Share of females in non-agricultural AFS employment in Low Income Food Deficit Countries (LIFDCs). 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/low-income-food-deficit-countries-lifdcs/

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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.