Sheep — Stocks in Saudi Arabia
Saudi Arabia: Sheep — Stocks was 1.89 million LSU in 2023. ◆ Volatile
Sheep — Stocks in Saudi Arabia, 1961–2023
Source: Food and Agriculture Organization of the United Nations. Measured in LSU.
Analysis
In 2023, sheep — stocks in Saudi Arabia stood at 1.89 million LSU.
Compared with earlier readings it is down 13.1% on the previous year and up 64.8% over ten years.
Over the whole period, sheep — stocks in Saudi Arabia peaked at 2.18 million LSU in 2022 and was at its lowest, 176,500 LSU, in 1961.
Saudi Arabia ranks 27th of 192 countries on this measure, in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 199,222 LSU | 176,500 LSU | 225,500 LSU | 9 |
| 1970s | 302,580 LSU | 234,500 LSU | 398,100 LSU | 10 |
| 1980s | 610,205 LSU | 389,100 LSU | 727,183 LSU | 10 |
| 1990s | 723,518 LSU | 638,336 LSU | 780,275 LSU | 10 |
| 2000s | 747,579 LSU | 588,553 LSU | 850,094 LSU | 10 |
| 2010s | 960,481 LSU | 874,100 LSU | 1.15 million LSU | 10 |
| 2020s | 1.89 million LSU | 1.75 million LSU | 2.18 million LSU | 4 |
Countries ranked near Saudi Arabia
- 24 Morocco 2.07 million LSU compare
- 25 Uzbekistan 2.05 million LSU compare
- 26 Russian Federation 1.91 million LSU compare
- 28 Syrian Arab Republic 1.86 million LSU compare
- 29 Kazakhstan 1.70 million LSU compare
- 30 Indonesia 1.55 million LSU compare
More environment data for Saudi Arabia
- Land area equipped for irrigation — Share in Cropland 71.44 % (2024)
- Land area equipped for irrigation — Area 3,279 1000 ha (2024)
- Permanent meadows and pastures — Share in Land area 79.55 % (2024)
- Permanent meadows and pastures — Share in Agricultural land 97.39 % (2024)
- Permanent meadows and pastures — Area 171,000 1000 ha (2024)
- Permanent crops — Share in Agricultural land 0.16 % (2024)
- Permanent crops — Area 289 1000 ha (2024)
- Arable land — Share in Agricultural land 2.45 % (2024)
- Arable land — Area 4,300 1000 ha (2024)
- Cropland — Area per capita 0.14 ha/cap (2024)
Frequently asked questions
- What is sheep — stocks in Saudi Arabia?
- Sheep — stocks in Saudi Arabia was 1.89 million LSU in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest sheep — stocks recorded in Saudi Arabia?
- The highest recorded value was 2.18 million LSU in 2022.
- What is the lowest sheep — stocks recorded in Saudi Arabia?
- The lowest recorded value was 176,500 LSU in 1961.
- How does Saudi Arabia rank for sheep — stocks?
- Saudi Arabia ranks 27th out of 192 countries with data for 2023.
- Is sheep — stocks rising or falling in Saudi Arabia?
- Over the last ten years it is up 64.8%. The long-run trend across the full record is volatile.
- Where does this Saudi Arabia 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.