FAO Model — Share of AFS employment in total employment — Value in Grenada
Grenada: FAO Model — Share of AFS employment in total employment — Value was 13.56 % in 2023. ▼ Falling
FAO Model — Share of AFS employment in total employment — Value in Grenada, 2018–2023
Source: Food and Agriculture Organization of the United Nations. Measured in %.
Analysis
The most recent figure for fao model — share of afs employment in total employment — value in Grenada is 13.56 %, measured in 2023. That is the lowest value across all 6 years on record.
Compared with earlier readings it is down 29.9% on the previous year and down 36.8% over ten years.
That places Grenada 107th out of 145 countries with data for 2023, putting it in the middle of the range.
FAO Model — Share of AFS employment in total employment — Value in Grenada, year by year
| Year | % | Change |
|---|---|---|
| 2018 | 21.46 % | — |
| 2019 | 20.91 % | -2.6% |
| 2020 | 24.91 % | +19.1% |
| 2021 | 22.95 % | -7.9% |
| 2022 | 19.35 % | -15.7% |
| 2023 | 13.56 % | -29.9% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 21.19 % | 20.91 % | 21.46 % | 2 |
| 2020s | 20.19 % | 13.56 % | 24.91 % | 4 |
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 afs employment in total employment — value in Grenada?
- Fao model — share of afs employment in total employment — value in Grenada was 13.56 % in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest fao model — share of afs employment in total employment — value recorded in Grenada?
- The highest recorded value was 24.91 % in 2020.
- What is the lowest fao model — share of afs employment in total employment — value recorded in Grenada?
- The lowest recorded value was 13.56 % in 2023.
- How does Grenada rank for fao model — share of afs employment in total employment — value?
- Grenada ranks 107th out of 145 countries with data for 2023.
- Is fao model — share of afs employment in total employment — value rising or falling in Grenada?
- Over the last ten years it is down 36.8%. The long-run trend across the full record is falling.
- 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 AFS employment in total employment — Value. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 6 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.