FAO Model — Share of AFS employment in total employment — Value in Net Food Importing Developing Countries (NFIDCs)

Net Food Importing Developing Countries (NFIDCs): FAO Model — Share of AFS employment in total employment — Value was 61.73 % in 2023. ▼ Falling

Latest (2023)
61.73 %
Change on year
down 0.0%
Rank
8th
of 31 groups
All-time high
69.6 %
in 2000
All-time low
61.36 %
in 2019
Years of data
24
2000–2023

FAO Model — Share of AFS employment in total employment — Value in Net Food Importing Developing Countries (NFIDCs), 2000–2023

02040602000201120232000: 69.6 %2001: 68.9 %2002: 67.9 %2003: 67.4 %2004: 67.3 %2005: 67.9 %2006: 67.7 %2007: 66.2 %2008: 65.1 %2009: 64.8 %2010: 64.2 %2011: 64.5 %2012: 64.6 %2013: 65 %2014: 64.5 %2015: 64 %2016: 63.5 %2017: 63.1 %2018: 62.2 %2019: 61.4 %2020: 62.2 %2021: 62.2 %2022: 61.8 %2023: 61.7 %

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

Analysis

Net Food Importing Developing Countries (NFIDCs) recorded 61.73 % for fao model — share of afs employment in total employment — value in 2023.

Compared with earlier readings it is down 5.1% over ten years.

Over the whole period, fao model — share of afs employment in total employment — value in Net Food Importing Developing Countries (NFIDCs) peaked at 69.6 % in 2000 and was at its lowest, 61.36 %, in 2019.

Net Food Importing Developing Countries (NFIDCs) ranks 8th of 31 groups on this measure, in the top quarter.

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

FAO Model — Share of AFS employment in total employment — Value in Net Food Importing Developing Countries (NFIDCs), year by year

Annual values for FAO Model — Share of AFS employment in total employment — Value in Net Food Importing Developing Countries (NFIDCs), 2000 to 2023.
Year % Change
2000 69.6 %
2001 68.86 % -1.1%
2002 67.94 % -1.3%
2003 67.37 % -0.8%
2004 67.29 % -0.1%
2005 67.87 % +0.9%
2006 67.67 % -0.3%
2007 66.21 % -2.2%
2008 65.11 % -1.7%
2009 64.84 % -0.4%
2010 64.25 % -0.9%
2011 64.45 % +0.3%
2012 64.59 % +0.2%
2013 65.05 % +0.7%
2014 64.46 % -0.9%
2015 64 % -0.7%
2016 63.53 % -0.7%
2017 63.06 % -0.7%
2018 62.22 % -1.3%
2019 61.36 % -1.4%
2020 62.23 % +1.4%
2021 62.16 % -0.1%
2022 61.76 % -0.6%
2023 61.73 % -0.0%

Averages by decade

DecadeAverage LowestHighest Years
2000s 67.28 % 64.84 % 69.6 % 10
2010s 63.7 % 61.36 % 65.05 % 10
2020s 61.97 % 61.73 % 62.23 % 4

Countries ranked near Net Food Importing Developing Countries (NFIDCs)

  1. 5 Democratic Republic of the Congo 64.6 % compare
  2. 5 Mali 80.34 % compare
  3. 6 Guinea-Bissau 77.24 % compare
  4. 6 Timor-Leste 62.96 % compare
  5. 7 Uganda 75.82 % compare
  6. 7 Melanesia 54.81 % compare
  7. 8 Democratic People's Republic of Korea 54.49 % compare
  8. 8 Ethiopia 73.55 % compare
  9. 9 Bolivia (Plurinational State of) 49.88 % compare
  10. 9 Zambia 71.83 % compare
  11. 10 Viet Nam 43.54 % compare
  12. 10 Zimbabwe 69.55 % compare
  13. 11 Nigeria 68.74 % compare

See the full ranking of 193 places →

More agriculture & rural data for Net Food Importing Developing Countries (NFIDCs)

All data for Net Food Importing Developing Countries (NFIDCs) →

Frequently asked questions

What is fao model — share of afs employment in total employment — value in Net Food Importing Developing Countries (NFIDCs)?
Fao model — share of afs employment in total employment — value in Net Food Importing Developing Countries (NFIDCs) was 61.73 % in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest fao model — share of afs employment in total employment — value recorded in Net Food Importing Developing Countries (NFIDCs)?
The highest recorded value was 69.6 % in 2000.
What is the lowest fao model — share of afs employment in total employment — value recorded in Net Food Importing Developing Countries (NFIDCs)?
The lowest recorded value was 61.36 % in 2019.
How does Net Food Importing Developing Countries (NFIDCs) rank for fao model — share of afs employment in total employment — value?
Net Food Importing Developing Countries (NFIDCs) ranks 8th out of 31 groups with data for 2023.
Is fao model — share of afs employment in total employment — value rising or falling in Net Food Importing Developing Countries (NFIDCs)?
Over the last ten years it is down 5.1%. The long-run trend across the full record is falling.
Where does this Net Food Importing Developing Countries (NFIDCs) data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of FAO Model — Share of AFS employment in total employment — Value. Statizoid updates them automatically from the source API.

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FAO Model — Share of AFS employment in total employment — Value in Net Food Importing Developing Countries (NFIDCs). Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 05 September 2026, from https://agriculture.statizoid.com/stat/fao-model-share-of-afs-employment-in-total-employment-value/net-food-importing-developing-countries-nfidcs/

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About this data

Indicator
FAO Model — Share of AFS employment in total employment — Value
Unit
%
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
193 places, 4,476 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.