FAO Model — Total non-agricultural AFS employment — Female — Value in Lao People's Democratic Republic
Lao People's Democratic Republic: FAO Model — Total non-agricultural AFS employment — Female — Value was 247.13 1000 No in 2023. ▲ Rising
FAO Model — Total non-agricultural AFS employment — Female — Value in Lao People's Democratic Republic, 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 Lao People's Democratic Republic stood at 247.13 1000 No. That is the highest value across all 24 years on record.
That represents a change of up 2.4% on the previous year and up 86.0% over ten years.
Over the whole period, fao model — total non-agricultural afs employment — female — value in Lao People's Democratic Republic peaked at 247.13 1000 No in 2023 and was at its lowest, 86.23 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 Lao People's Democratic Republic, year by year
| Year | 1000 No | Change |
|---|---|---|
| 2000 | 86.23 1000 No | — |
| 2001 | 90.71 1000 No | +5.2% |
| 2002 | 93.93 1000 No | +3.5% |
| 2003 | 98.11 1000 No | +4.5% |
| 2004 | 100.76 1000 No | +2.7% |
| 2005 | 107.26 1000 No | +6.5% |
| 2006 | 113 1000 No | +5.4% |
| 2007 | 120.5 1000 No | +6.6% |
| 2008 | 125.14 1000 No | +3.9% |
| 2009 | 132.2 1000 No | +5.6% |
| 2010 | 173.27 1000 No | +31.1% |
| 2011 | 158.53 1000 No | -8.5% |
| 2012 | 145.61 1000 No | -8.1% |
| 2013 | 132.85 1000 No | -8.8% |
| 2014 | 120.32 1000 No | -9.4% |
| 2015 | 109.56 1000 No | -8.9% |
| 2016 | 157.91 1000 No | +44.1% |
| 2017 | 208.24 1000 No | +31.9% |
| 2018 | 211.97 1000 No | +1.8% |
| 2019 | 218.96 1000 No | +3.3% |
| 2020 | 226.17 1000 No | +3.3% |
| 2021 | 234.11 1000 No | +3.5% |
| 2022 | 241.36 1000 No | +3.1% |
| 2023 | 247.13 1000 No | +2.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 106.78 1000 No | 86.23 1000 No | 132.2 1000 No | 10 |
| 2010s | 163.72 1000 No | 109.56 1000 No | 218.96 1000 No | 10 |
| 2020s | 237.19 1000 No | 226.17 1000 No | 247.13 1000 No | 4 |
Countries ranked near Lao People's Democratic Republic
- 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
- 12 Colombia 2,027 1000 No compare
- 13 Kenya 2,003 1000 No compare
- 13 Timor-Leste 53.7 1000 No compare
- 14 Ghana 1,978 1000 No compare
- 14 Micronesia 7.39 1000 No compare
- 15 Myanmar 1,778 1000 No compare
- 15 Polynesia 5.7 1000 No compare
More agriculture & rural data for Lao People's Democratic Republic
- Meat, Poultry — Production, annual growth rate 5.05 % change on previous year (2024)
- Eggs Primary — Laying, annual growth rate -0.7022 % change on previous year (2024)
- Fruit Primary — Area harvested, annual growth rate -5.65 % change on previous year (2024)
- Fruit Primary — Yield, annual growth rate -2.98 % change on previous year (2024)
- Fruit Primary — Production, annual growth rate -8.46 % change on previous year (2024)
- Meat, Poultry — Yield/Carcass Weight, annual growth rate -0.2364 % change on previous year (2024)
- Meat, Total — Production, annual growth rate 4.98 % change on previous year (2024)
- Milk, Total — Production, annual growth rate 2.61 % change on previous year (2024)
- Milk, Total — Yield/Carcass Weight, annual growth rate -0.5618 % change on previous year (2024)
- Eggs Primary — Production, annual growth rate -0.85 % change on previous year (2024)
Frequently asked questions
- What is fao model — total non-agricultural afs employment — female — value in Lao People's Democratic Republic?
- Fao model — total non-agricultural afs employment — female — value in Lao People's Democratic Republic was 247.13 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 Lao People's Democratic Republic?
- The highest recorded value was 247.13 1000 No in 2023.
- What is the lowest fao model — total non-agricultural afs employment — female — value recorded in Lao People's Democratic Republic?
- The lowest recorded value was 86.23 1000 No in 2000.
- How does Lao People's Democratic Republic rank for fao model — total non-agricultural afs employment — female — value?
- Lao People's Democratic Republic ranks 12th out of 15 countries with data for 2023.
- Is fao model — total non-agricultural afs employment — female — value rising or falling in Lao People's Democratic Republic?
- Over the last ten years it is up 86.0%. The long-run trend across the full record is rising.
- Where does this Lao People's Democratic Republic 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.