ILO - ILO Modelled Estimates — Share of employment in agriculture in in Comoros

Comoros: ILO - ILO Modelled Estimates — Share of employment in agriculture in was 33.6 % in 2025. ▼ Falling

Latest (2025)
33.6 %
Change on year
down 1.5%
World rank
44th
of 175 countries
All-time high
58 %
in 1991
All-time low
33.6 %
in 2025
Years of data
35
1991–2025

ILO - ILO Modelled Estimates — Share of employment in agriculture in in Comoros, 1991–2025

02040601991200820251991: 58 %1992: 57.4 %1993: 57.2 %1994: 57.8 %1995: 57.6 %1996: 57.8 %1997: 57.6 %1998: 57.5 %1999: 57.4 %2000: 56.5 %2001: 56.3 %2002: 56.1 %2003: 55.9 %2004: 55.6 %2005: 54.2 %2006: 52.6 %2007: 51 %2008: 49.1 %2009: 47.3 %2010: 45.5 %2011: 43.6 %2012: 41.8 %2013: 39.8 %2014: 38 %2015: 37.8 %2016: 37.1 %2017: 36.2 %2018: 35.2 %2019: 34.6 %2020: 35.7 %2021: 35.2 %2022: 34.9 %2023: 34.6 %2024: 34.1 %2025: 33.6 %

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

Analysis

Comoros recorded 33.6 % for ilo - ilo modelled estimates — share of employment in agriculture in in 2025. That is the lowest value across all 35 years on record.

The figure is down 1.5% on the previous year and down 11.1% over ten years.

Over the whole period, ilo - ilo modelled estimates — share of employment in agriculture in in Comoros peaked at 58 % in 1991 and was at its lowest, 33.6 %, in 2025.

Comoros ranks 44th of 175 countries on this measure, in the top quarter.

The long-run direction has been consistently falling across the 35 years of available data.

ILO - ILO Modelled Estimates — Share of employment in agriculture in in Comoros, year by year

Annual values for ILO - ILO Modelled Estimates — Share of employment in agriculture in total employment - ILO Modelled Estimates — Value in Comoros, 1991 to 2025.
Year % Change
1991 58 %
1992 57.4 % -1.0%
1993 57.2 % -0.3%
1994 57.8 % +1.0%
1995 57.6 % -0.3%
1996 57.8 % +0.3%
1997 57.6 % -0.3%
1998 57.5 % -0.2%
1999 57.4 % -0.2%
2000 56.5 % -1.6%
2001 56.3 % -0.4%
2002 56.1 % -0.4%
2003 55.9 % -0.4%
2004 55.6 % -0.5%
2005 54.2 % -2.5%
2006 52.6 % -3.0%
2007 51 % -3.0%
2008 49.1 % -3.7%
2009 47.3 % -3.7%
2010 45.5 % -3.8%
2011 43.6 % -4.2%
2012 41.8 % -4.1%
2013 39.8 % -4.8%
2014 38 % -4.5%
2015 37.8 % -0.5%
2016 37.1 % -1.9%
2017 36.2 % -2.4%
2018 35.2 % -2.8%
2019 34.6 % -1.7%
2020 35.7 % +3.2%
2021 35.2 % -1.4%
2022 34.9 % -0.9%
2023 34.6 % -0.9%
2024 34.1 % -1.4%
2025 33.6 % -1.5%

Averages by decade

DecadeAverage LowestHighest Years
1990s 57.59 % 57.2 % 58 % 9
2000s 53.46 % 47.3 % 56.5 % 10
2010s 38.96 % 34.6 % 45.5 % 10
2020s 34.68 % 33.6 % 35.7 % 6

Countries ranked near Comoros

  1. 41 Ghana 34.6 % compare
  2. 42 Azerbaijan 34.2 % compare
  3. 43 Georgia 34 % compare
  4. 45 Nigeria 33.5 % compare
  5. 46 Cambodia 33.4 % compare
  6. 47 Ecuador 32.5 % compare

See the full ranking of 226 places →

More agriculture & rural data for Comoros

All data for Comoros →

Frequently asked questions

What is ilo - ilo modelled estimates — share of employment in agriculture in in Comoros?
Ilo - ilo modelled estimates — share of employment in agriculture in in Comoros was 33.6 % in 2025, according to Food and Agriculture Organization of the United Nations.
What is the highest ilo - ilo modelled estimates — share of employment in agriculture in recorded in Comoros?
The highest recorded value was 58 % in 1991.
What is the lowest ilo - ilo modelled estimates — share of employment in agriculture in recorded in Comoros?
The lowest recorded value was 33.6 % in 2025.
How does Comoros rank for ilo - ilo modelled estimates — share of employment in agriculture in?
Comoros ranks 44th out of 175 countries with data for 2025.
Is ilo - ilo modelled estimates — share of employment in agriculture in rising or falling in Comoros?
Over the last ten years it is down 11.1%. The long-run trend across the full record is falling.
Where does this Comoros data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of ILO - ILO Modelled Estimates — Share of employment in agriculture in total employment - ILO Modelled Estimates — Value. Statizoid updates them automatically from the source API.

Download this data

CSV · JSON — 35 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).

Share, cite or embed this page

Cite this page

ILO - ILO Modelled Estimates — Share of employment in agriculture in in Comoros. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 11 September 2026, from https://agriculture.statizoid.com/stat/ilo-ilo-modelled-estimates-share-of-employment-in-agriculture-in-total-employment-ilo/comoros/

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/ilo-ilo-modelled-estimates-share-of-employment-in-agriculture-in-total-employment-ilo/comoros/">ILO - ILO Modelled Estimates — Share of employment in agriculture in in Comoros</a> — Statizoid

About this data

Indicator
ILO - ILO Modelled Estimates — Share of employment in agriculture in total employment - ILO Modelled Estimates — Value
Unit
%
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
226 places, 7,893 data points, 1991–2025
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.