Sheep — Stocks in Afghanistan
Afghanistan: Sheep — Stocks was 1.22 million LSU in 2023. ▼ Falling
Sheep — Stocks in Afghanistan, 1961–2023
Source: Food and Agriculture Organization of the United Nations. Measured in LSU.
Analysis
Afghanistan recorded 1.22 million LSU for sheep — stocks in 2023.
The figure is down 2.1% on the previous year and down 6.9% over ten years.
Over the whole period, sheep — stocks in Afghanistan peaked at 2.15 million LSU in 1970 and was at its lowest, 810,500 LSU, in 2007.
Afghanistan ranks 36th of 192 countries on this measure, in the top quarter.
The long-run direction has been consistently falling across the 63 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 1.97 million LSU | 1.80 million LSU | 2.15 million LSU | 9 |
| 1970s | 1.89 million LSU | 1.28 million LSU | 2.15 million LSU | 10 |
| 1980s | 1.53 million LSU | 1.05 million LSU | 1.89 million LSU | 10 |
| 1990s | 1.43 million LSU | 1.26 million LSU | 1.77 million LSU | 10 |
| 2000s | 1.08 million LSU | 810,500 LSU | 1.50 million LSU | 10 |
| 2010s | 1.35 million LSU | 1.30 million LSU | 1.43 million LSU | 10 |
| 2020s | 1.26 million LSU | 1.22 million LSU | 1.28 million LSU | 4 |
Countries ranked near Afghanistan
- 33 Turkmenistan 1.41 million LSU compare
- 34 Spain 1.36 million LSU compare
- 35 Argentina 1.26 million LSU compare
- 37 Burkina Faso 1.14 million LSU compare
- 38 Mauritania 1.14 million LSU compare
- 39 Peru 1.13 million LSU compare
More environment data for Afghanistan
- Land area equipped for irrigation — Share in Cropland 39.69 % (2024)
- Land area equipped for irrigation — Area 3,208 1000 ha (2024)
- Inland waters — Area 64 1000 ha (2024)
- Permanent meadows and pastures — Share in Land area 46 % (2024)
- Permanent meadows and pastures — Share in Agricultural land 78.78 % (2024)
- Permanent meadows and pastures — Area 30,000 1000 ha (2024)
- Permanent crops — Share in Agricultural land 0.71 % (2024)
- Permanent crops — Area 271 1000 ha (2024)
- Arable land — Share in Agricultural land 20.51 % (2024)
- Arable land — Area 7,811 1000 ha (2024)
Frequently asked questions
- What is sheep — stocks in Afghanistan?
- Sheep — stocks in Afghanistan was 1.22 million LSU in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest sheep — stocks recorded in Afghanistan?
- The highest recorded value was 2.15 million LSU in 1970.
- What is the lowest sheep — stocks recorded in Afghanistan?
- The lowest recorded value was 810,500 LSU in 2007.
- How does Afghanistan rank for sheep — stocks?
- Afghanistan ranks 36th out of 192 countries with data for 2023.
- Is sheep — stocks rising or falling in Afghanistan?
- Over the last ten years it is down 6.9%. The long-run trend across the full record is falling.
- Where does this Afghanistan data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Sheep — Stocks. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 63 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
The Livestock Patterns domain of FAOSTAT contains data on livestock numbers, shares of major livestock species and densities of livestock units in the agricultural land area. Values are calculated using Livestock Units (LSU), which facilitate aggregating information for different livestock types. Data are available by country, with global coverage, for the period 1961 to the most recent year available with annual updates. This methodology applies the LSU coefficients reported in the "Guidelines for the preparation of livestock sector reviews" (FAO, 2011). From this publication, LSU coefficients are computed by livestock type and by country. The reference unit used for the calculation of livestock units (=1 LSU) is the grazing equivalent of one adult dairy cow producing 3000 kg of milk annually, fed without additional concentrated foodstuffs. FAOSTAT agri-environmental indicators on livestock patterns closely follow the structure of the indicators in EUROSTAT.