Democratic Republic of the Congo vs Iran (Islamic Republic of): FAO Model — Total employment in agrifood systems (AFS) — Male — Value

Democratic Republic of the Congo
9,991 1000 No
in 2023
Iran (Islamic Republic of)
6,179 1000 No
in 2023
Democratic Republic of the Congo rank
6th
Iran (Islamic Republic of) rank
8th

FAO Model — Total employment in agrifood systems (AFS) — Male — Value over time

  • Democratic Republic of the Congo
  • Iran (Islamic Republic of)
02.0k4.0k6.0k8.0k10.0k200020112023

How they compare

Democratic Republic of the Congo currently reports 9,991 1000 No against 6,179 1000 No in Iran (Islamic Republic of), a difference of 3,812 1000 No.

That makes Democratic Republic of the Congo's figure about 1.6 times Iran (Islamic Republic of)'s.

Across all 24 years both countries report, Democratic Republic of the Congo has been ahead every year.

Democratic Republic of the Congo ranks 6th and Iran (Islamic Republic of) ranks 8th of 17 countries.

Democratic Republic of the Congo has averaged higher in every one of the 3 decades both report.

Head to head by decade

Decade Democratic Republic of the Congo Iran (Islamic Republic of) Difference Ahead
2000s 6,782 1000 No 4,360 1000 No 2,421 1000 No Democratic Republic of the Congo
2010s 7,997 1000 No 5,407 1000 No 2,590 1000 No Democratic Republic of the Congo
2020s 9,619 1000 No 6,095 1000 No 3,524 1000 No Democratic Republic of the Congo

Averages of every year both report within each decade.

Frequently asked questions

Which has higher fao model — total employment in agrifood systems (afs) — male — value, Democratic Republic of the Congo or Iran (Islamic Republic of)?
Democratic Republic of the Congo, at 9,991 1000 No against 6,179 1000 No in Iran (Islamic Republic of) as of 2023.
What is the difference in fao model — total employment in agrifood systems (afs) — male — value between Democratic Republic of the Congo and Iran (Islamic Republic of)?
3,812 1000 No, with Democratic Republic of the Congo ahead.
How many years of comparable data are there for Democratic Republic of the Congo and Iran (Islamic Republic of)?
24 years are reported by both, from 2000 to 2023.
How do Democratic Republic of the Congo and Iran (Islamic Republic of) rank globally for fao model — total employment in agrifood systems (afs) — male — value?
Democratic Republic of the Congo ranks 6th and Iran (Islamic Republic of) ranks 8th of 17 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as FAO Model — Total employment in agrifood systems (AFS) — Male — Value. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Democratic Republic of the Congo vs Iran (Islamic Republic of): FAO Model — Total employment in agrifood systems (AFS) — Male — Value. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 17 September 2026, from https://agriculture.statizoid.com/compare/fao-model-total-employment-in-agrifood-systems-afs-male-value/democratic-republic-of-the-congo/iran-islamic-republic-of/

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About this data

Indicator
FAO Model — Total employment in agrifood systems (AFS) — Male — 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.