FAO Model — Total employment in agrifood systems (AFS) — Value in Niue
Niue: FAO Model — Total employment in agrifood systems (AFS) — Value was 0.17 1000 No in 2022. ▲ Rising
FAO Model — Total employment in agrifood systems (AFS) — Value in Niue, 2015–2022
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 No.
Analysis
In 2022, fao model — total employment in agrifood systems (afs) — value in Niue stood at 0.17 1000 No. That is the highest value across all 8 years on record.
The figure is up 6.2% on the previous year and up 54.5% over ten years.
That places Niue 144th out of 145 countries with data for 2022, putting it in the bottom quarter.
FAO Model — Total employment in agrifood systems (AFS) — Value in Niue, year by year
| Year | 1000 No | Change |
|---|---|---|
| 2015 | 0.11 1000 No | — |
| 2016 | 0.1 1000 No | -9.1% |
| 2017 | 0.12 1000 No | +20.0% |
| 2018 | 0.13 1000 No | +8.3% |
| 2019 | 0.14 1000 No | +7.7% |
| 2020 | 0.15 1000 No | +7.1% |
| 2021 | 0.16 1000 No | +6.7% |
| 2022 | 0.17 1000 No | +6.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.12 1000 No | 0.1 1000 No | 0.14 1000 No | 5 |
| 2020s | 0.16 1000 No | 0.15 1000 No | 0.17 1000 No | 3 |
Countries ranked near Niue
More agriculture & rural data for Niue
- Meat of pig with the bone, fresh or chilled — Producing 0.6869 % change on previous year (2024)
- Meat of pig with the bone, fresh or chilled — Production 69.17 t (2024)
- Meat of pig with the bone, fresh or chilled — Producing 1,026 An (2024)
- Swine / pigs — Stocks 2,362 An (2024)
- Bananas — Area harvested 42 ha (2024)
- Bananas — Production 82.28 t (2024)
- Swine / pigs — Stocks, annual growth rate 0.7249 % change on previous year (2024)
- Edible offal of pigs, fresh, chilled or frozen — Producing 0.6869 % change on previous year (2024)
- Fat of pigs — Production, annual growth rate 0.8811 % change on previous year (2024)
- Fat of pigs — Producing Animals/Slaughtered, annual growth rate 0.6869 % change on previous year (2024)
Frequently asked questions
- What is fao model — total employment in agrifood systems (afs) — value in Niue?
- Fao model — total employment in agrifood systems (afs) — value in Niue was 0.17 1000 No in 2022, according to Food and Agriculture Organization of the United Nations.
- What is the highest fao model — total employment in agrifood systems (afs) — value recorded in Niue?
- The highest recorded value was 0.17 1000 No in 2022.
- What is the lowest fao model — total employment in agrifood systems (afs) — value recorded in Niue?
- The lowest recorded value was 0.1 1000 No in 2016.
- How does Niue rank for fao model — total employment in agrifood systems (afs) — value?
- Niue ranks 144th out of 145 countries with data for 2022.
- Is fao model — total employment in agrifood systems (afs) — value rising or falling in Niue?
- Over the last ten years it is up 54.5%. The long-run trend across the full record is rising.
- Where does this Niue data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of FAO Model — Total employment in agrifood systems (AFS) — Value. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 8 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.