Cattle and Buffaloes — Share in total livestock in Singapore
Singapore: Cattle and Buffaloes — Share in total livestock was 0.4 %LSU in 2023. ◆ Volatile
Cattle and Buffaloes — Share in total livestock in Singapore, 1961–2023
Source: Food and Agriculture Organization of the United Nations. Measured in %LSU.
Analysis
In 2023, cattle and buffaloes — share in total livestock in Singapore stood at 0.4 %LSU.
The figure is down 13.0% on the previous year and up 8.1% over ten years.
Over the whole period, cattle and buffaloes — share in total livestock in Singapore peaked at 3.31 %LSU in 1964 and was at its lowest, 0.2 %LSU, in 1985.
Singapore ranks 188th of 188 countries on this measure, in the bottom 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 | 2.57 %LSU | 2.34 %LSU | 3.31 %LSU | 9 |
| 1970s | 0.887 %LSU | 0.3 %LSU | 1.99 %LSU | 10 |
| 1980s | 0.287 %LSU | 0.2 %LSU | 0.35 %LSU | 10 |
| 1990s | 0.904 %LSU | 0.29 %LSU | 1.42 %LSU | 10 |
| 2000s | 0.491 %LSU | 0.4 %LSU | 0.64 %LSU | 10 |
| 2010s | 0.353 %LSU | 0.32 %LSU | 0.39 %LSU | 10 |
| 2020s | 0.3975 %LSU | 0.36 %LSU | 0.46 %LSU | 4 |
Countries ranked near Singapore
More environment data for Singapore
- Standard Deviation, annual growth rate 42.94 % change on previous year (1990)
- Standard Deviation 0.253 °C (1990)
- Temperature change 0.647 °C (1990)
- Recovered paper — Production 402,000 t (2024)
- Total fibre furnish — Production 402,000 t (2024)
- Other paper and paperboard, not elsewhere specified — Import value 20,438 1000 USD (2024)
- Other paper and paperboard, not elsewhere specified — Import quantity 5,992 t (2024)
- Other paper and paperboard — Export value 353,738 1000 USD (2024)
- Other paper and paperboard — Export quantity 328,460 t (2024)
- Other paper and paperboard — Import value 215,071 1000 USD (2024)
Frequently asked questions
- What is cattle and buffaloes — share in total livestock in Singapore?
- Cattle and buffaloes — share in total livestock in Singapore was 0.4 %LSU in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest cattle and buffaloes — share in total livestock recorded in Singapore?
- The highest recorded value was 3.31 %LSU in 1964.
- What is the lowest cattle and buffaloes — share in total livestock recorded in Singapore?
- The lowest recorded value was 0.2 %LSU in 1985.
- How does Singapore rank for cattle and buffaloes — share in total livestock?
- Singapore ranks 188th out of 188 countries with data for 2023.
- Is cattle and buffaloes — share in total livestock rising or falling in Singapore?
- Over the last ten years it is up 8.1%. The long-run trend across the full record is volatile.
- Where does this Singapore data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Cattle and Buffaloes — Share in total livestock. 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.