FAO Model — Total non-agricultural AFS employment — Female — Value in Bolivia (Plurinational State of)
Bolivia (Plurinational State of): FAO Model — Total non-agricultural AFS employment — Female — Value was 1,015 1000 No in 2023. ▲ Rising
FAO Model — Total non-agricultural AFS employment — Female — Value in Bolivia (Plurinational State of), 2000–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 No.
Analysis
In 2023, fao model — total non-agricultural afs employment — female — value in Bolivia (Plurinational State of) stood at 1,015 1000 No. That is the highest value across all 24 years on record.
Compared with earlier readings it is up 10.8% on the previous year and up 106.4% over ten years.
Over the whole period, fao model — total non-agricultural afs employment — female — value in Bolivia (Plurinational State of) peaked at 1,015 1000 No in 2023 and was at its lowest, 382.44 1000 No, in 2000.
The long-run direction has been consistently rising across the 24 years of available data.
FAO Model — Total non-agricultural AFS employment — Female — Value in Bolivia (Plurinational State of), year by year
| Year | 1000 No | Change |
|---|---|---|
| 2000 | 382.44 1000 No | — |
| 2001 | 382.45 1000 No | +0.0% |
| 2002 | 382.88 1000 No | +0.1% |
| 2003 | 391.21 1000 No | +2.2% |
| 2004 | 402.83 1000 No | +3.0% |
| 2005 | 430.76 1000 No | +6.9% |
| 2006 | 409.68 1000 No | -4.9% |
| 2007 | 403.12 1000 No | -1.6% |
| 2008 | 501.84 1000 No | +24.5% |
| 2009 | 474.47 1000 No | -5.5% |
| 2010 | 480.08 1000 No | +1.2% |
| 2011 | 490.58 1000 No | +2.2% |
| 2012 | 526.37 1000 No | +7.3% |
| 2013 | 491.63 1000 No | -6.6% |
| 2014 | 494.71 1000 No | +0.6% |
| 2015 | 537.51 1000 No | +8.7% |
| 2016 | 574.44 1000 No | +6.9% |
| 2017 | 643.32 1000 No | +12.0% |
| 2018 | 733.67 1000 No | +14.0% |
| 2019 | 811.87 1000 No | +10.7% |
| 2020 | 742.24 1000 No | -8.6% |
| 2021 | 828.78 1000 No | +11.7% |
| 2022 | 915.78 1000 No | +10.5% |
| 2023 | 1,015 1000 No | +10.8% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 416.17 1000 No | 382.44 1000 No | 501.84 1000 No | 10 |
| 2010s | 578.42 1000 No | 480.08 1000 No | 811.87 1000 No | 10 |
| 2020s | 875.39 1000 No | 742.24 1000 No | 1,015 1000 No | 4 |
Countries ranked near Bolivia (Plurinational State of)
- 5 Thailand 5,180 1000 No compare
- 5 United Republic of Tanzania 2,680 1000 No compare
- 6 Mexico 4,916 1000 No compare
- 6 Türkiye 1,469 1000 No compare
- 7 Ethiopia 4,684 1000 No compare
- 8 Philippines 4,202 1000 No compare
- 9 Democratic Republic of the Congo 892.32 1000 No compare
- 9 Japan 4,026 1000 No compare
- 10 Iran (Islamic Republic of) 656.51 1000 No compare
- 10 Peru 2,326 1000 No compare
- 11 Republic of Korea 2,257 1000 No compare
- 11 Melanesia 488.83 1000 No compare
More agriculture & rural data for Bolivia (Plurinational State of)
- Sugar Crops Primary — Area harvested, annual growth rate 18.67 % change on previous year (2024)
- Cabbages — Area harvested, annual growth rate 3.87 % change on previous year (2024)
- Vegetables Primary — Production, annual growth rate -1.82 % change on previous year (2024)
- Vegetables Primary — Yield, annual growth rate 1.77 % change on previous year (2024)
- Vegetables Primary — Area harvested, annual growth rate -3.52 % change on previous year (2024)
- Sugar Crops Primary — Production, annual growth rate 11.06 % change on previous year (2024)
- Sugar Crops Primary — Yield, annual growth rate -6.41 % change on previous year (2024)
- Roots and Tubers, Total — Production, annual growth rate 12.67 % change on previous year (2024)
- Sheep and Goat Meat — Yield/Carcass Weight, annual growth rate 4.55 % change on previous year (2024)
- Sheep and Goat Meat — Production, annual growth rate 3.83 % change on previous year (2024)
Frequently asked questions
- What is fao model — total non-agricultural afs employment — female — value in Bolivia (Plurinational State of)?
- Fao model — total non-agricultural afs employment — female — value in Bolivia (Plurinational State of) was 1,015 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 Bolivia (Plurinational State of)?
- The highest recorded value was 1,015 1000 No in 2023.
- What is the lowest fao model — total non-agricultural afs employment — female — value recorded in Bolivia (Plurinational State of)?
- The lowest recorded value was 382.44 1000 No in 2000.
- How does Bolivia (Plurinational State of) rank for fao model — total non-agricultural afs employment — female — value?
- Bolivia (Plurinational State of) ranks 8th out of 15 countries with data for 2023.
- Is fao model — total non-agricultural afs employment — female — value rising or falling in Bolivia (Plurinational State of)?
- Over the last ten years it is up 106.4%. The long-run trend across the full record is rising.
- Where does this Bolivia (Plurinational State of) 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 — 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.