Chad vs United Republic of Tanzania: ILO - ILO Modelled Estimates — Share of employment in agriculture in

Chad
71.7 %
in 2025
United Republic of Tanzania
64.6 %
in 2025
Chad rank
4th
United Republic of Tanzania rank
2nd

ILO - ILO Modelled Estimates — Share of employment in agriculture in over time

  • Chad
  • United Republic of Tanzania
020406080199120082025

How they compare

Chad currently reports 71.7 % against 64.6 % in United Republic of Tanzania, a difference of 7.1 %.

That makes Chad's figure about 1.1 times United Republic of Tanzania's.

Across all 35 years both countries report, Chad has been ahead every year.

Chad ranks 4th and United Republic of Tanzania ranks 2nd of 175 countries.

Chad has averaged higher in every one of the 4 decades both report.

Head to head by decade

Decade Chad United Republic of Tanzania Difference Ahead
1990s 82.53 % 73.83 % 8.7 % Chad
2000s 78.59 % 71.56 % 7.03 % Chad
2010s 72.81 % 66.77 % 6.04 % Chad
2020s 71.92 % 65.37 % 6.55 % Chad

Averages of every year both report within each decade.

Frequently asked questions

Which has higher ilo - ilo modelled estimates — share of employment in agriculture in, Chad or United Republic of Tanzania?
Chad, at 71.7 % against 64.6 % in United Republic of Tanzania as of 2025.
What is the difference in ilo - ilo modelled estimates — share of employment in agriculture in between Chad and United Republic of Tanzania?
7.1 %, with Chad ahead.
How many years of comparable data are there for Chad and United Republic of Tanzania?
35 years are reported by both, from 1991 to 2025.
How do Chad and United Republic of Tanzania rank globally for ilo - ilo modelled estimates — share of employment in agriculture in?
Chad ranks 4th and United Republic of Tanzania ranks 2nd of 175 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as ILO - ILO Modelled Estimates — Share of employment in agriculture in total employment - ILO Modelled Estimates — 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

Chad vs United Republic of Tanzania: ILO - ILO Modelled Estimates — Share of employment in agriculture in. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 18 September 2026, from https://agriculture.statizoid.com/compare/ilo-ilo-modelled-estimates-share-of-employment-in-agriculture-in-total-employment-ilo/chad/united-republic-of-tanzania/

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-share-of-employment-in-agriculture-in-total-employment-ilo/chad/united-republic-of-tanzania/">Chad vs United Republic of Tanzania: ILO - ILO Modelled Estimates — Share of employment in agriculture in</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.