FAO Model — Share of agricultural employment in total AFS employment in Tuvalu
Tuvalu: FAO Model — Share of agricultural employment in total AFS employment was 44.48 % in 2022. ▼ Falling
FAO Model — Share of agricultural employment in total AFS employment in Tuvalu, 2016–2022
Source: Food and Agriculture Organization of the United Nations. Measured in %.
Analysis
The most recent figure for fao model — share of agricultural employment in total afs employment in Tuvalu is 44.48 %, measured in 2022. That is the lowest value across all 6 years on record.
That represents a change of down 6.2% on the previous year and down 41.4% over ten years.
Tuvalu ranks 90th of 145 countries on this measure, in the middle of the range.
FAO Model — Share of agricultural employment in total AFS employment in Tuvalu, year by year
| Year | % | Change |
|---|---|---|
| 2016 | 75.92 % | — |
| 2017 | 51.28 % | -32.5% |
| 2018 | 50.08 % | -2.3% |
| 2019 | 48.8 % | -2.6% |
| 2020 | 47.44 % | -2.8% |
| 2022 | 44.48 % | -6.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 56.52 % | 48.8 % | 75.92 % | 4 |
| 2020s | 45.96 % | 44.48 % | 47.44 % | 2 |
Countries ranked near Tuvalu
More agriculture & rural data for Tuvalu
- Rural population, per capita 0.3456 units per person (2025)
- Agriculture, forestry, and fishing, value added (current US$), annual -17.15 % change on previous year (2015)
- Agriculture, forestry, and fishing, value added (current US$), per 0.1594 current US$ per US$ of GDP (2015)
- Agriculture, forestry, and fishing, value added (current US$), per 534.44 current US$ per person (2015)
- Rural population, per unit of GDP 0.0001 units per US$ of GDP (2025)
- Rural population, annual growth rate -3.61 % change on previous year (2025)
- Rural population 34.6% (2025)
- Agricultural raw materials imports 1.1% (2008)
- Agriculture, forestry, and fishing, value added 5.86 million current US$ (2015)
- Agriculture, forestry, and fishing, value added 15.9% (2015)
Frequently asked questions
- What is fao model — share of agricultural employment in total afs employment in Tuvalu?
- Fao model — share of agricultural employment in total afs employment in Tuvalu was 44.48 % in 2022, 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 Tuvalu?
- The highest recorded value was 75.92 % in 2016.
- What is the lowest fao model — share of agricultural employment in total afs employment recorded in Tuvalu?
- The lowest recorded value was 44.48 % in 2022.
- How does Tuvalu rank for fao model — share of agricultural employment in total afs employment?
- Tuvalu ranks 90th out of 145 countries with data for 2022.
- Is fao model — share of agricultural employment in total afs employment rising or falling in Tuvalu?
- Over the last ten years it is down 41.4%. The long-run trend across the full record is falling.
- Where does this Tuvalu 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 — 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.