FAO Model — Share of non-agricultural AFS employment in total AFS in United Republic of Tanzania
United Republic of Tanzania: FAO Model — Share of non-agricultural AFS employment in total AFS was 20.03 % in 2023. ▲ Rising
FAO Model — Share of non-agricultural AFS employment in total AFS in United Republic of Tanzania, 2000–2023
Source: Food and Agriculture Organization of the United Nations. Measured in %.
Analysis
United Republic of Tanzania recorded 20.03 % for fao model — share of non-agricultural afs employment in total afs in 2023.
The figure is up 2.5% on the previous year and up 49.1% over ten years.
Over the whole period, fao model — share of non-agricultural afs employment in total afs in United Republic of Tanzania peaked at 20.53 % in 2019 and was at its lowest, 6.93 %, in 2012.
The long-run direction has been consistently rising across the 24 years of available data.
FAO Model — Share of non-agricultural AFS employment in total AFS in United Republic of Tanzania, year by year
| Year | % | Change |
|---|---|---|
| 2000 | 11.55 % | — |
| 2001 | 11.87 % | +2.8% |
| 2002 | 12.22 % | +2.9% |
| 2003 | 12.34 % | +1.0% |
| 2004 | 12.81 % | +3.8% |
| 2005 | 13.21 % | +3.1% |
| 2006 | 13.77 % | +4.2% |
| 2007 | 12.59 % | -8.6% |
| 2008 | 11.89 % | -5.6% |
| 2009 | 13.86 % | +16.6% |
| 2010 | 15.89 % | +14.6% |
| 2011 | 12 % | -24.5% |
| 2012 | 6.93 % | -42.3% |
| 2013 | 13.43 % | +93.8% |
| 2014 | 19.82 % | +47.6% |
| 2015 | 19.99 % | +0.9% |
| 2016 | 20.11 % | +0.6% |
| 2017 | 20.23 % | +0.6% |
| 2018 | 20.37 % | +0.7% |
| 2019 | 20.53 % | +0.8% |
| 2020 | 20.49 % | -0.2% |
| 2021 | 19.25 % | -6.1% |
| 2022 | 19.55 % | +1.6% |
| 2023 | 20.03 % | +2.5% |
Biggest year-on-year movements
Years where FAO Model — Share of non-agricultural AFS employment in total AFS in United Republic of Tanzania changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 2013 | +93.8% | 6.93 % | 13.43 % |
| 2014 | +47.6% | 13.43 % | 19.82 % |
| 2012 | -42.3% | 12 % | 6.93 % |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 12.61 % | 11.55 % | 13.86 % | 10 |
| 2010s | 16.93 % | 6.93 % | 20.53 % | 10 |
| 2020s | 19.83 % | 19.25 % | 20.49 % | 4 |
Countries ranked near United Republic of Tanzania
- 8 United Arab Emirates 82.51 % compare
- 9 Australia 82.36 % compare
- 9 Timor-Leste 23.15 % compare
- 10 Netherlands (Kingdom of the) 80.55 % compare
- 10 Polynesia 21.28 % compare
- 11 Portugal 80.16 % compare
- 12 Cyprus 80.15 % compare
- 13 Australia and New Zealand 80.08 % compare
- 14 Lao People's Democratic Republic 14.2 % compare
- 14 Spain 78.74 % compare
More agriculture & rural data for United Republic of Tanzania
- Onions and shallots, dry (excluding dehydrated) — Yield, annual 0.2828 % change on previous year (2024)
- Onions and shallots, dry (excluding dehydrated) — Area harvested -26.5 % change on previous year (2024)
- Meat of sheep, fresh or chilled — Producing Animals/Slaughtered 1.6 % change on previous year (2024)
- Meat of sheep, fresh or chilled — Production, annual growth rate 11.68 % change on previous year (2024)
- Meat of sheep, fresh or chilled — Yield/Carcass Weight, annual growth 10 % change on previous year (2024)
- Meat of goat, fresh or chilled — Producing Animals/Slaughtered 3.54 % change on previous year (2024)
- Meat of goat, fresh or chilled — Production, annual growth rate 11.49 % change on previous year (2024)
- Meat of goat, fresh or chilled — Yield/Carcass Weight, annual growth 7.69 % change on previous year (2024)
- Meat of chickens, fresh or chilled — Producing Animals/Slaughtered 2.04 % change on previous year (2024)
- Meat of chickens, fresh or chilled — Production, annual growth rate 11.33 % change on previous year (2024)
Frequently asked questions
- What is fao model — share of non-agricultural afs employment in total afs in United Republic of Tanzania?
- Fao model — share of non-agricultural afs employment in total afs in United Republic of Tanzania was 20.03 % in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest fao model — share of non-agricultural afs employment in total afs recorded in United Republic of Tanzania?
- The highest recorded value was 20.53 % in 2019.
- What is the lowest fao model — share of non-agricultural afs employment in total afs recorded in United Republic of Tanzania?
- The lowest recorded value was 6.93 % in 2012.
- How does United Republic of Tanzania rank for fao model — share of non-agricultural afs employment in total afs?
- United Republic of Tanzania ranks 11th out of 15 countries with data for 2023.
- Is fao model — share of non-agricultural afs employment in total afs rising or falling in United Republic of Tanzania?
- Over the last ten years it is up 49.1%. The long-run trend across the full record is rising.
- Where does this United Republic of Tanzania data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of FAO Model — Share of non-agricultural AFS employment in total AFS employment — Value. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 24 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.