Seychelles vs Tonga: FAO Model — Total non-agricultural AFS employment — Value
FAO Model — Total non-agricultural AFS employment — Value over time
- Seychelles
- Tonga
How they compare
Tonga currently reports 6.01 1000 No against 4.06 1000 No in Seychelles, a difference of 1.95 1000 No.
That makes Tonga's figure about 1.5 times Seychelles's.
The two have swapped places 2 times across 8 shared years of data; in 2016 it was Tonga ahead.
Seychelles ranks 129th and Tonga ranks 128th of 137 countries.
Tonga has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Seychelles | Tonga | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 3.86 1000 No | 5.36 1000 No | 1.5 1000 No | Tonga |
| 2020s | 4.08 1000 No | 7.14 1000 No | 3.06 1000 No | Tonga |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher fao model — total non-agricultural afs employment — value, Seychelles or Tonga?
- Tonga, at 6.01 1000 No against 4.06 1000 No in Seychelles as of 2023.
- What is the difference in fao model — total non-agricultural afs employment — value between Seychelles and Tonga?
- 1.95 1000 No, with Tonga ahead.
- How many years of comparable data are there for Seychelles and Tonga?
- 8 years are reported by both, from 2016 to 2023.
- How do Seychelles and Tonga rank globally for fao model — total non-agricultural afs employment — value?
- Seychelles ranks 129th and Tonga ranks 128th of 137 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as FAO Model — Total non-agricultural AFS employment — Value. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
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.