Burkina Faso vs Cameroon: ILO: ILO Modelled Estimates Employment in agriculture ILO … Female

Burkina Faso
2,378 1000 No
in 2025
Cameroon
2,162 1000 No
in 2025
Burkina Faso rank
24th
Cameroon rank
26th

ILO: ILO Modelled Estimates Employment in agriculture ILO … Female over time

  • Burkina Faso
  • Cameroon
01.0k2.0k3.0k199120082025

How they compare

Burkina Faso currently reports 2,378 1000 No against 2,162 1000 No in Cameroon, a difference of 216 1000 No.

That makes Burkina Faso's figure about 1.1 times Cameroon's.

The two have swapped places 2 times across 35 shared years of data; in 1991 it was Burkina Faso ahead.

Burkina Faso ranks 24th and Cameroon ranks 26th of 194 countries.

Across the 4 decades both report, Burkina Faso averaged higher in 3 and Cameroon in 1.

Head to head by decade

Decade Burkina Faso Cameroon Difference Ahead
1990s 1,789 1000 No 1,734 1000 No 55.04 1000 No Burkina Faso
2000s 2,017 1000 No 2,297 1000 No 279.63 1000 No Cameroon
2010s 2,145 1000 No 2,139 1000 No 5.51 1000 No Burkina Faso
2020s 2,278 1000 No 2,075 1000 No 203.36 1000 No Burkina Faso

Averages of every year both report within each decade.

Frequently asked questions

Which has higher ilo - ilo modelled estimates — employment in agriculture - ilo, Burkina Faso or Cameroon?
Burkina Faso, at 2,378 1000 No against 2,162 1000 No in Cameroon as of 2025.
What is the difference in ilo - ilo modelled estimates — employment in agriculture - ilo between Burkina Faso and Cameroon?
216 1000 No, with Burkina Faso ahead.
How many years of comparable data are there for Burkina Faso and Cameroon?
35 years are reported by both, from 1991 to 2025.
How do Burkina Faso and Cameroon rank globally for ilo - ilo modelled estimates — employment in agriculture - ilo?
Burkina Faso ranks 24th and Cameroon ranks 26th of 194 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as ILO - ILO Modelled Estimates — Employment in agriculture - ILO modelled estimates — Female — Value. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

Share, cite or embed this page

Cite this page

Burkina Faso vs Cameroon: ILO - ILO Modelled Estimates — Employment in agriculture - ILO. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 24 October 2026, from https://agriculture.statizoid.com/compare/ilo-ilo-modelled-estimates-employment-in-agriculture-ilo-modelled-estimates-female-value/burkina-faso/cameroon/

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/compare/ilo-ilo-modelled-estimates-employment-in-agriculture-ilo-modelled-estimates-female-value/burkina-faso/cameroon/">Burkina Faso vs Cameroon: ILO - ILO Modelled Estimates — Employment in agriculture - ILO</a> — Statizoid

About this data

Indicator
ILO - ILO Modelled Estimates — Employment in agriculture - ILO modelled estimates — Female — Value
Unit
1000 No
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
227 places, 7,928 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.