Honduras vs Syrian Arab Republic: ILO … Estimates Employment in agriculture ILO modelled estimates Value

Honduras
925.47 1000 No
in 2025
Syrian Arab Republic
952.85 1000 No
in 2025
Honduras rank
79th
Syrian Arab Republic rank
76th

ILO … Estimates Employment in agriculture ILO modelled estimates Value over time

  • Honduras
  • Syrian Arab Republic
4006008001.0k1.2k1.4k199120082025

How they compare

Syrian Arab Republic currently reports 952.85 1000 No against 925.47 1000 No in Honduras, a difference of 27.38 1000 No.

The two have swapped places 4 times across 35 shared years of data; in 1991 it was Syrian Arab Republic ahead.

Honduras ranks 79th and Syrian Arab Republic ranks 76th of 194 countries.

Across the 4 decades both report, Honduras averaged higher in 2 and Syrian Arab Republic in 2.

Head to head by decade

Decade Honduras Syrian Arab Republic Difference Ahead
1990s 554.26 1000 No 1,062 1000 No 507.33 1000 No Syrian Arab Republic
2000s 694.49 1000 No 1,136 1000 No 441.04 1000 No Syrian Arab Republic
2010s 845.59 1000 No 657.27 1000 No 188.32 1000 No Honduras
2020s 884.27 1000 No 844.33 1000 No 39.94 1000 No Honduras

Averages of every year both report within each decade.

Frequently asked questions

Which has higher ilo - ilo modelled estimates — employment in agriculture - ilo, Honduras or Syrian Arab Republic?
Syrian Arab Republic, at 952.85 1000 No against 925.47 1000 No in Honduras as of 2025.
What is the difference in ilo - ilo modelled estimates — employment in agriculture - ilo between Honduras and Syrian Arab Republic?
27.38 1000 No, with Syrian Arab Republic ahead.
How many years of comparable data are there for Honduras and Syrian Arab Republic?
35 years are reported by both, from 1991 to 2025.
How do Honduras and Syrian Arab Republic rank globally for ilo - ilo modelled estimates — employment in agriculture - ilo?
Honduras ranks 79th and Syrian Arab Republic ranks 76th 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 — 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

Honduras vs Syrian Arab Republic: ILO - ILO Modelled Estimates — Employment in agriculture - ILO. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 25 October 2026, from https://agriculture.statizoid.com/compare/ilo-ilo-modelled-estimates-employment-in-agriculture-ilo-modelled-estimates-value/honduras/syrian-arab-republic-2/

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-value/honduras/syrian-arab-republic-2/">Honduras vs Syrian Arab Republic: ILO - ILO Modelled Estimates — Employment in agriculture - ILO</a> — Statizoid

About this data

Indicator
ILO - ILO Modelled Estimates — Employment in agriculture - ILO modelled estimates — 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.