Democratic Republic of the Congo vs Saint Vincent and the Grenadines: FAO Model — Share of agricultural employment in total AFS employment

Democratic Republic of the Congo
91.12 %
in 2023
Saint Vincent and the Grenadines
100 %
in 2023
Democratic Republic of the Congo rank
4th
Saint Vincent and the Grenadines rank
1st

FAO Model — Share of agricultural employment in total AFS employment over time

  • Democratic Republic of the Congo
  • Saint Vincent and the Grenadines
020406080100200020112023

How they compare

Saint Vincent and the Grenadines currently reports 100 % against 91.12 % in Democratic Republic of the Congo, a difference of 8.88 %.

That makes Saint Vincent and the Grenadines's figure about 1.1 times Democratic Republic of the Congo's.

Across all 24 years both countries report, Saint Vincent and the Grenadines has been ahead every year.

Democratic Republic of the Congo ranks 4th and Saint Vincent and the Grenadines ranks 1st of 17 countries.

Saint Vincent and the Grenadines has averaged higher in every one of the 3 decades both report.

Head to head by decade

Decade Democratic Republic of the Congo Saint Vincent and the Grenadines Difference Ahead
2000s 93.95 % 100 % 6.05 % Saint Vincent and the Grenadines
2010s 92.87 % 100 % 7.13 % Saint Vincent and the Grenadines
2020s 91.47 % 100 % 8.53 % Saint Vincent and the Grenadines

Averages of every year both report within each decade.

Frequently asked questions

Which has higher fao model — share of agricultural employment in total afs employment, Democratic Republic of the Congo or Saint Vincent and the Grenadines?
Saint Vincent and the Grenadines, at 100 % against 91.12 % in Democratic Republic of the Congo as of 2023.
What is the difference in fao model — share of agricultural employment in total afs employment between Democratic Republic of the Congo and Saint Vincent and the Grenadines?
8.88 %, with Saint Vincent and the Grenadines ahead.
How many years of comparable data are there for Democratic Republic of the Congo and Saint Vincent and the Grenadines?
24 years are reported by both, from 2000 to 2023.
How do Democratic Republic of the Congo and Saint Vincent and the Grenadines rank globally for fao model — share of agricultural employment in total afs employment?
Democratic Republic of the Congo ranks 4th and Saint Vincent and the Grenadines ranks 1st of 17 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as FAO Model — Share of agricultural employment in total AFS employment — 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 Saint Vincent and the Grenadines: FAO Model — Share of agricultural employment in total AFS employment. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 18 September 2026, from https://agriculture.statizoid.com/compare/fao-model-share-of-agricultural-employment-in-total-afs-employment-male-value/democratic-republic-of-the-congo/st-vincent-and-the-grenadines/

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About this data

Indicator
FAO Model — Share of agricultural employment in total AFS employment — Male — Value
Unit
%
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
185 places, 4,347 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.