FAO Model — Total non-agricultural AFS employment — Female — Value in Tonga
Tonga: FAO Model — Total non-agricultural AFS employment — Female — Value was 4.97 1000 No in 2023. ▲ Rising
FAO Model — Total non-agricultural AFS employment — Female — Value in Tonga, 2016–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 No.
Analysis
The most recent figure for fao model — total non-agricultural afs employment — female — value in Tonga is 4.97 1000 No, measured in 2023.
That represents a change of down 15.9% on the previous year and down 21.5% over ten years.
Tonga ranks 119th of 125 countries on this measure, in the bottom quarter.
FAO Model — Total non-agricultural AFS employment — Female — Value in Tonga, year by year
| Year | 1000 No | Change |
|---|---|---|
| 2016 | 6.33 1000 No | — |
| 2017 | 4.29 1000 No | -32.2% |
| 2018 | 2.17 1000 No | -49.4% |
| 2019 | 3.68 1000 No | +69.6% |
| 2020 | 5.24 1000 No | +42.4% |
| 2021 | 6.87 1000 No | +31.1% |
| 2022 | 5.91 1000 No | -14.0% |
| 2023 | 4.97 1000 No | -15.9% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 4.12 1000 No | 2.17 1000 No | 6.33 1000 No | 4 |
| 2020s | 5.75 1000 No | 4.97 1000 No | 6.87 1000 No | 4 |
Countries ranked near Tonga
More agriculture & rural data for Tonga
- Agriculture, forestry, and fishing, value added (current US$), annual 7.27 % change on previous year (2024)
- Agriculture, forestry, and fishing, value added (current US$), per 0.1857 current US$ per US$ of GDP (2024)
- Agriculture, forestry, and fishing, value added (current US$), per 1,154 current US$ per person (2024)
- Rural population, annual growth rate -0.4224 % change on previous year (2025)
- Rural population, per unit of GDP 0.0001 units per US$ of GDP (2025)
- Rural population, per capita 0.7884 units per person (2025)
- Share of GDP from agriculture 18.6% (2024)
- Agriculture as a share of GDP vs. GDP per capita 18.6% (2024)
- Agricultural raw materials exports 0.6% (2023)
- Agricultural raw materials imports 1.7% (2023)
Frequently asked questions
- What is fao model — total non-agricultural afs employment — female — value in Tonga?
- Fao model — total non-agricultural afs employment — female — value in Tonga was 4.97 1000 No in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest fao model — total non-agricultural afs employment — female — value recorded in Tonga?
- The highest recorded value was 6.87 1000 No in 2021.
- What is the lowest fao model — total non-agricultural afs employment — female — value recorded in Tonga?
- The lowest recorded value was 2.17 1000 No in 2018.
- How does Tonga rank for fao model — total non-agricultural afs employment — female — value?
- Tonga ranks 119th out of 125 countries with data for 2023.
- Is fao model — total non-agricultural afs employment — female — value rising or falling in Tonga?
- Over the last ten years it is down 21.5%. The long-run trend across the full record is rising.
- Where does this Tonga data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of FAO Model — Total non-agricultural AFS employment — Female — 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.