Cattle and Buffaloes — Stocks in Pakistan
Pakistan: Cattle and Buffaloes — Stocks was 50.21 million LSU in 2023. ◆ Volatile
Cattle and Buffaloes — Stocks in Pakistan, 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 Pakistan is 50.21 million LSU, measured in 2023. That is the highest value across all 63 years on record.
The figure is up 3.4% on the previous year and up 39.8% over ten years.
Over the whole period, cattle and buffaloes — stocks in Pakistan peaked at 50.21 million LSU in 2023 and was at its lowest, 10.44 million LSU, in 1961.
Pakistan ranks 7th of 206 countries on this measure, in the top 10%.
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 | 11.13 million LSU | 10.44 million LSU | 11.84 million LSU | 9 |
| 1970s | 12.54 million LSU | 11.96 million LSU | 13.15 million LSU | 10 |
| 1980s | 15.27 million LSU | 13.29 million LSU | 17.29 million LSU | 10 |
| 1990s | 19.31 million LSU | 17.52 million LSU | 21.81 million LSU | 10 |
| 2000s | 26.23 million LSU | 22.34 million LSU | 31.46 million LSU | 10 |
| 2010s | 37.89 million LSU | 31.85 million LSU | 43.91 million LSU | 10 |
| 2020s | 47.78 million LSU | 45.41 million LSU | 50.21 million LSU | 4 |
Countries ranked near Pakistan
More environment data for Pakistan
- Land area equipped for irrigation — Share in Cropland 63.68 % (2024)
- Land area equipped for irrigation — Area 19,990 1000 ha (2024)
- Inland waters — Area 2,522 1000 ha (2024)
- Permanent meadows and pastures — Share in Land area 6.49 % (2024)
- Permanent meadows and pastures — Share in Agricultural land 13.74 % (2024)
- Permanent meadows and pastures — Area 5,000 1000 ha (2024)
- Permanent crops — Share in Agricultural land 1.92 % (2024)
- Permanent crops — Area 699 1000 ha (2024)
- Arable land — Share in Agricultural land 84.34 % (2024)
- Arable land — Area 30,690 1000 ha (2024)
Frequently asked questions
- What is cattle and buffaloes — stocks in Pakistan?
- Cattle and buffaloes — stocks in Pakistan was 50.21 million LSU in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest cattle and buffaloes — stocks recorded in Pakistan?
- The highest recorded value was 50.21 million LSU in 2023.
- What is the lowest cattle and buffaloes — stocks recorded in Pakistan?
- The lowest recorded value was 10.44 million LSU in 1961.
- How does Pakistan rank for cattle and buffaloes — stocks?
- Pakistan ranks 7th out of 206 countries with data for 2023.
- Is cattle and buffaloes — stocks rising or falling in Pakistan?
- Over the last ten years it is up 39.8%. The long-run trend across the full record is volatile.
- Where does this Pakistan 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.