FAO Model — Share of females in total AFS employment — Female — Value in Low Income Food Deficit Countries (LIFDCs)

Low Income Food Deficit Countries (LIFDCs): FAO Model — Share of females in total AFS employment — Female — Value was 48.21 % in 2023. ▬ Flat

Latest (2023)
48.21 %
Change on year
up 2.7%
Rank
6th
of 31 groups
All-time high
48.21 %
in 2023
All-time low
46.48 %
in 2018
Years of data
24
2000–2023

FAO Model — Share of females in total AFS employment — Female — Value in Low Income Food Deficit Countries (LIFDCs), 2000–2023

010203040502000201120232000: 47 %2001: 47.2 %2002: 47.3 %2003: 47.4 %2004: 47.2 %2005: 47.7 %2006: 47.2 %2007: 47.6 %2008: 47.5 %2009: 47.4 %2010: 47.5 %2011: 47.2 %2012: 47.2 %2013: 47.3 %2014: 47.3 %2015: 47.3 %2016: 47.1 %2017: 47 %2018: 46.5 %2019: 46.9 %2020: 46.7 %2021: 46.8 %2022: 47 %2023: 48.2 %

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

Analysis

Low Income Food Deficit Countries (LIFDCs) recorded 48.21 % for fao model — share of females in total afs employment — female — value in 2023. That is the highest value across all 24 years on record.

Compared with earlier readings it is up 2.7% on the previous year and up 1.9% over ten years.

Over the whole period, fao model — share of females in total afs employment — female — value in Low Income Food Deficit Countries (LIFDCs) peaked at 48.21 % in 2023 and was at its lowest, 46.48 %, in 2018.

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

FAO Model — Share of females in total AFS employment — Female — Value in Low Income Food Deficit Countries (LIFDCs), year by year

Annual values for FAO Model — Share of females in total AFS employment — Female — Value in Low Income Food Deficit Countries (LIFDCs), 2000 to 2023.
Year % Change
2000 47.05 %
2001 47.2 % +0.3%
2002 47.26 % +0.1%
2003 47.37 % +0.2%
2004 47.17 % -0.4%
2005 47.69 % +1.1%
2006 47.22 % -1.0%
2007 47.56 % +0.7%
2008 47.5 % -0.1%
2009 47.36 % -0.3%
2010 47.45 % +0.2%
2011 47.25 % -0.4%
2012 47.19 % -0.1%
2013 47.32 % +0.3%
2014 47.32 % +0.0%
2015 47.26 % -0.1%
2016 47.14 % -0.3%
2017 47 % -0.3%
2018 46.48 % -1.1%
2019 46.92 % +0.9%
2020 46.73 % -0.4%
2021 46.83 % +0.2%
2022 46.96 % +0.3%
2023 48.21 % +2.7%

Averages by decade

DecadeAverage LowestHighest Years
2000s 47.34 % 47.05 % 47.69 % 10
2010s 47.13 % 46.48 % 47.45 % 10
2020s 47.18 % 46.73 % 48.21 % 4

Countries ranked near Low Income Food Deficit Countries (LIFDCs)

  1. 3 Mozambique 57.69 % compare
  2. 3 Melanesia 53.42 % compare
  3. 4 Nepal 56.99 % compare
  4. 5 Angola 56.59 % compare
  5. 5 Viet Nam 52.87 % compare
  6. 6 Democratic People's Republic of Korea 51.32 % compare
  7. 6 Zimbabwe 55.98 % compare
  8. 7 Cambodia 55.63 % compare
  9. 7 United Republic of Tanzania 50.65 % compare
  10. 8 Côte d'Ivoire 47.61 % compare
  11. 8 Papua New Guinea 55.24 % compare
  12. 8 Timor-Leste 49.8 % compare
  13. 9 Lao People's Democratic Republic 48.87 % compare
  14. 9 Liberia 55.2 % compare

See the full ranking of 185 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 total afs employment — female — value in Low Income Food Deficit Countries (LIFDCs)?
Fao model — share of females in total afs employment — female — value in Low Income Food Deficit Countries (LIFDCs) was 48.21 % in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest fao model — share of females in total afs employment — female — value recorded in Low Income Food Deficit Countries (LIFDCs)?
The highest recorded value was 48.21 % in 2023.
What is the lowest fao model — share of females in total afs employment — female — value recorded in Low Income Food Deficit Countries (LIFDCs)?
The lowest recorded value was 46.48 % in 2018.
How does Low Income Food Deficit Countries (LIFDCs) rank for fao model — share of females in total afs employment — female — value?
Low Income Food Deficit Countries (LIFDCs) ranks 6th out of 31 groups with data for 2023.
Is fao model — share of females in total afs employment — female — value rising or falling in Low Income Food Deficit Countries (LIFDCs)?
Over the last ten years it is up 1.9%. The long-run trend across the full record is flat.
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 total AFS employment — Female — Value. Statizoid updates them automatically from the source API.

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FAO Model — Share of females in total AFS employment — Female — Value 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-total-afs-employment-female-value/low-income-food-deficit-countries-lifdcs/

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About this data

Indicator
FAO Model — Share of females in total AFS employment — Female — Value
Unit
%
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
185 places, 4,376 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.