Cattle and Buffaloes — Stocks in Philippines
Philippines: Cattle and Buffaloes — Stocks was 3.62 million LSU in 2023. ▲ Rising
Cattle and Buffaloes — Stocks in Philippines, 1961–2023
Source: Food and Agriculture Organization of the United Nations. Measured in LSU.
Analysis
In 2023, cattle and buffaloes — stocks in Philippines stood at 3.62 million LSU.
The figure is up 0.1% on the previous year and down 1.1% over ten years.
Over the whole period, cattle and buffaloes — stocks in Philippines peaked at 4.82 million LSU in 1973 and was at its lowest, 2.93 million LSU, in 1992.
That places Philippines 57th out of 206 countries with data for 2023, putting it 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 | 3.48 million LSU | 3.10 million LSU | 4.12 million LSU | 9 |
| 1970s | 3.83 million LSU | 3.04 million LSU | 4.82 million LSU | 10 |
| 1980s | 3.23 million LSU | 3.08 million LSU | 3.32 million LSU | 10 |
| 1990s | 3.24 million LSU | 2.93 million LSU | 3.68 million LSU | 10 |
| 2000s | 3.92 million LSU | 3.73 million LSU | 4.04 million LSU | 10 |
| 2010s | 3.71 million LSU | 3.63 million LSU | 3.96 million LSU | 10 |
| 2020s | 3.65 million LSU | 3.62 million LSU | 3.69 million LSU | 4 |
Countries ranked near Philippines
More environment data for Philippines
- Land area equipped for irrigation — Share in Cropland 19.16 % (2024)
- Land area equipped for irrigation — Area 2,155 1000 ha (2024)
- Inland waters — Area 183 1000 ha (2024)
- Permanent meadows and pastures — Share in Land area 5.03 % (2024)
- Permanent meadows and pastures — Share in Agricultural land 11.77 % (2024)
- Permanent meadows and pastures — Area 1,500 1000 ha (2024)
- Permanent crops — Share in Agricultural land 44.37 % (2024)
- Permanent crops — Area 5,656 1000 ha (2024)
- Arable land — Share in Agricultural land 43.86 % (2024)
- Arable land — Area 5,590 1000 ha (2024)
Frequently asked questions
- What is cattle and buffaloes — stocks in Philippines?
- Cattle and buffaloes — stocks in Philippines was 3.62 million LSU in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest cattle and buffaloes — stocks recorded in Philippines?
- The highest recorded value was 4.82 million LSU in 1973.
- What is the lowest cattle and buffaloes — stocks recorded in Philippines?
- The lowest recorded value was 2.93 million LSU in 1992.
- How does Philippines rank for cattle and buffaloes — stocks?
- Philippines ranks 57th out of 206 countries with data for 2023.
- Is cattle and buffaloes — stocks rising or falling in Philippines?
- Over the last ten years it is down 1.1%. The long-run trend across the full record is rising.
- Where does this Philippines 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.