Cattle and Buffaloes — Stocks in Syrian Arab Republic
Syrian Arab Republic: Cattle and Buffaloes — Stocks was 593,557 LSU in 2023. ▲ Rising
Cattle and Buffaloes — Stocks in Syrian Arab Republic, 1961–2023
Source: Food and Agriculture Organization of the United Nations. Measured in LSU.
Analysis
The most recent figure for cattle and buffaloes — stocks in Syrian Arab Republic is 593,557 LSU, measured in 2023.
The figure is down 1.3% on the previous year and down 24.3% over ten years.
Over the whole period, cattle and buffaloes — stocks in Syrian Arab Republic peaked at 822,031 LSU in 2007 and was at its lowest, 295,680 LSU, in 1961.
Syrian Arab Republic ranks 115th of 206 countries on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 63 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 333,497 LSU | 295,680 LSU | 367,990 LSU | 9 |
| 1970s | 404,956 LSU | 342,481 LSU | 533,830 LSU | 10 |
| 1980s | 532,642 LSU | 495,503 LSU | 566,440 LSU | 10 |
| 1990s | 568,187 LSU | 495,831 LSU | 686,523 LSU | 10 |
| 2000s | 718,049 LSU | 587,542 LSU | 822,031 LSU | 10 |
| 2010s | 705,350 LSU | 541,541 LSU | 784,575 LSU | 10 |
| 2020s | 608,600 LSU | 593,557 LSU | 624,226 LSU | 4 |
Countries ranked near Syrian Arab Republic
More environment data for Syrian Arab Republic
- Permanent meadows and pastures — Share in Agricultural land 59.97 % (2024)
- Arable land — Area 4,400 1000 ha (2024)
- Arable land — Share in Agricultural land 32.32 % (2024)
- Permanent crops — Area 1,049 1000 ha (2024)
- Permanent crops — Share in Agricultural land 7.71 % (2024)
- Permanent meadows and pastures — Area 8,164 1000 ha (2024)
- Inland waters — Area 155 1000 ha (2024)
- Land area equipped for irrigation — Share in Cropland 24.04 % (2024)
- Land area equipped for irrigation — Area 1,310 1000 ha (2024)
- Agricultural land — Area 13,613 1000 ha (2024)
Frequently asked questions
- What is cattle and buffaloes — stocks in Syrian Arab Republic?
- Cattle and buffaloes — stocks in Syrian Arab Republic was 593,557 LSU in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest cattle and buffaloes — stocks recorded in Syrian Arab Republic?
- The highest recorded value was 822,031 LSU in 2007.
- What is the lowest cattle and buffaloes — stocks recorded in Syrian Arab Republic?
- The lowest recorded value was 295,680 LSU in 1961.
- How does Syrian Arab Republic rank for cattle and buffaloes — stocks?
- Syrian Arab Republic ranks 115th out of 206 countries with data for 2023.
- Is cattle and buffaloes — stocks rising or falling in Syrian Arab Republic?
- Over the last ten years it is down 24.3%. The long-run trend across the full record is rising.
- Where does this Syrian Arab Republic data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Cattle and Buffaloes — 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.