FAO Model — Total employment in agrifood systems (AFS) — Female in Liberia

Liberia: FAO Model — Total employment in agrifood systems (AFS) — Female was 726.67 1000 No in 2023. ▲ Rising

Latest (2023)
726.67 1000 No
Change on year
down 1.1%
World rank
54th
of 137 countries
All-time high
734.93 1000 No
in 2022
All-time low
396.16 1000 No
in 2000
Years of data
24
2000–2023

FAO Model — Total employment in agrifood systems (AFS) — Female in Liberia, 2000–2023

02004006008002000201120232000: 396.2 1000 No2001: 411.3 1000 No2002: 417.5 1000 No2003: 438.1 1000 No2004: 437.8 1000 No2005: 457 1000 No2006: 478.6 1000 No2007: 498.7 1000 No2008: 514.3 1000 No2009: 523.9 1000 No2010: 675.8 1000 No2011: 645.1 1000 No2012: 616.6 1000 No2013: 577.3 1000 No2014: 558.7 1000 No2015: 542.8 1000 No2016: 538.9 1000 No2017: 522.8 1000 No2018: 442.1 1000 No2019: 640.9 1000 No2020: 672.2 1000 No2021: 708.7 1000 No2022: 734.9 1000 No2023: 726.7 1000 No

Source: Food and Agriculture Organization of the United Nations. Measured in 1000 No.

Analysis

The most recent figure for fao model — total employment in agrifood systems (afs) — female in Liberia is 726.67 1000 No, measured in 2023.

That represents a change of down 1.1% on the previous year and up 25.9% over ten years.

Over the whole period, fao model — total employment in agrifood systems (afs) — female in Liberia peaked at 734.93 1000 No in 2022 and was at its lowest, 396.16 1000 No, in 2000.

That places Liberia 54th out of 137 countries with data for 2023, putting it in the middle of the range.

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

FAO Model — Total employment in agrifood systems (AFS) — Female in Liberia, year by year

Annual values for FAO Model — Total employment in agrifood systems (AFS) — Female — Value in Liberia, 2000 to 2023.
Year 1000 No Change
2000 396.16 1000 No
2001 411.28 1000 No +3.8%
2002 417.54 1000 No +1.5%
2003 438.06 1000 No +4.9%
2004 437.77 1000 No -0.1%
2005 456.97 1000 No +4.4%
2006 478.63 1000 No +4.7%
2007 498.67 1000 No +4.2%
2008 514.33 1000 No +3.1%
2009 523.89 1000 No +1.9%
2010 675.75 1000 No +29.0%
2011 645.06 1000 No -4.5%
2012 616.64 1000 No -4.4%
2013 577.34 1000 No -6.4%
2014 558.69 1000 No -3.2%
2015 542.83 1000 No -2.8%
2016 538.89 1000 No -0.7%
2017 522.83 1000 No -3.0%
2018 442.11 1000 No -15.4%
2019 640.93 1000 No +45.0%
2020 672.24 1000 No +4.9%
2021 708.68 1000 No +5.4%
2022 734.93 1000 No +3.7%
2023 726.67 1000 No -1.1%

Averages by decade

DecadeAverage LowestHighest Years
2000s 457.33 1000 No 396.16 1000 No 523.89 1000 No 10
2010s 576.11 1000 No 442.11 1000 No 675.75 1000 No 10
2020s 710.63 1000 No 672.24 1000 No 734.93 1000 No 4

Countries ranked near Liberia

  1. 51 Nepal 1,019 1000 No compare
  2. 52 Romania 823.59 1000 No compare
  3. 53 Australia 747.82 1000 No compare
  4. 55 Chile 605.75 1000 No compare
  5. 56 Honduras 515.64 1000 No compare
  6. 57 El Salvador 484.46 1000 No compare

See the full ranking of 185 places →

More agriculture & rural data for Liberia

All data for Liberia →

Frequently asked questions

What is fao model — total employment in agrifood systems (afs) — female in Liberia?
Fao model — total employment in agrifood systems (afs) — female in Liberia was 726.67 1000 No in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest fao model — total employment in agrifood systems (afs) — female recorded in Liberia?
The highest recorded value was 734.93 1000 No in 2022.
What is the lowest fao model — total employment in agrifood systems (afs) — female recorded in Liberia?
The lowest recorded value was 396.16 1000 No in 2000.
How does Liberia rank for fao model — total employment in agrifood systems (afs) — female?
Liberia ranks 54th out of 137 countries with data for 2023.
Is fao model — total employment in agrifood systems (afs) — female rising or falling in Liberia?
Over the last ten years it is up 25.9%. The long-run trend across the full record is rising.
Where does this Liberia data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of FAO Model — Total employment in agrifood systems (AFS) — 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 — Total employment in agrifood systems (AFS) — Female in Liberia. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 05 September 2026, from https://agriculture.statizoid.com/stat/fao-model-total-employment-in-agrifood-systems-afs-female-value/liberia/

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-total-employment-in-agrifood-systems-afs-female-value/liberia/">FAO Model — Total employment in agrifood systems (AFS) — Female in Liberia</a> — Statizoid

About this data

Indicator
FAO Model — Total employment in agrifood systems (AFS) — Female — Value
Unit
1000 No
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.