FAO Model — Share of agricultural employment in total AFS employment in Grenada
Grenada: FAO Model — Share of agricultural employment in total AFS employment was 65.58 % in 2023. ▲ Rising
FAO Model — Share of agricultural employment in total AFS employment in Grenada, 2018–2023
Source: Food and Agriculture Organization of the United Nations. Measured in %.
Analysis
Grenada recorded 65.58 % for fao model — share of agricultural employment in total afs employment in 2023. That is the highest value across all 5 years on record.
The figure is up 4.6% on the previous year and up 17.2% over ten years.
Grenada ranks 61st of 137 countries on this measure, in the middle of the range.
FAO Model — Share of agricultural employment in total AFS employment in Grenada, year by year
| Year | % | Change |
|---|---|---|
| 2018 | 55.96 % | — |
| 2019 | 59.43 % | +6.2% |
| 2020 | 59.74 % | +0.5% |
| 2021 | 62.7 % | +5.0% |
| 2023 | 65.58 % | +4.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 57.7 % | 55.96 % | 59.43 % | 2 |
| 2020s | 62.67 % | 59.74 % | 65.58 % | 3 |
Countries ranked near Grenada
More agriculture & rural data for Grenada
- Agriculture, forestry, and fishing, value added (current US$), annual -0.9004 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0254 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 307.48 current US$ per person (2025)
- Rural population, annual growth rate -0.0888 % change on previous year (2025)
- Rural population, per unit of GDP 0.0001 units per US$ of GDP (2025)
- Rural population, per capita 0.6333 units per person (2025)
- Share of GDP from agriculture 2.5% (2025)
- Agriculture as a share of GDP vs. GDP per capita 2.5% (2025)
- Agricultural raw materials exports 0.3% (2024)
- Agricultural raw materials imports 1.9% (2024)
Frequently asked questions
- What is fao model — share of agricultural employment in total afs employment in Grenada?
- Fao model — share of agricultural employment in total afs employment in Grenada was 65.58 % in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest fao model — share of agricultural employment in total afs employment recorded in Grenada?
- The highest recorded value was 65.58 % in 2023.
- What is the lowest fao model — share of agricultural employment in total afs employment recorded in Grenada?
- The lowest recorded value was 55.96 % in 2018.
- How does Grenada rank for fao model — share of agricultural employment in total afs employment?
- Grenada ranks 61st out of 137 countries with data for 2023.
- Is fao model — share of agricultural employment in total afs employment rising or falling in Grenada?
- Over the last ten years it is up 17.2%. The long-run trend across the full record is rising.
- Where does this Grenada data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of FAO Model — Share of agricultural employment in total AFS employment — Male — Value. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 5 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
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.