Cattle and Buffaloes — Stocks in Africa
Africa: Cattle and Buffaloes — Stocks was 200.37 million LSU in 2023. ▲ Rising
Cattle and Buffaloes — Stocks in Africa, 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 Africa is 200.37 million LSU, measured in 2023. That is the highest value across all 63 years on record.
The figure is up 2.6% on the previous year and up 19.1% over ten years.
Over the whole period, cattle and buffaloes — stocks in Africa peaked at 200.37 million LSU in 2023 and was at its lowest, 68.45 million LSU, in 1961.
Africa ranks 8th of 35 groups on this measure, in the top quarter.
The long-run direction has been consistently rising across the 63 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 73.93 million LSU | 68.45 million LSU | 80.46 million LSU | 9 |
| 1970s | 86.68 million LSU | 82.07 million LSU | 94.15 million LSU | 10 |
| 1980s | 97.78 million LSU | 94.56 million LSU | 102.57 million LSU | 10 |
| 1990s | 110.60 million LSU | 105.12 million LSU | 123.01 million LSU | 10 |
| 2000s | 136.60 million LSU | 123.05 million LSU | 153.02 million LSU | 10 |
| 2010s | 172.69 million LSU | 156.60 million LSU | 186.66 million LSU | 10 |
| 2020s | 195.21 million LSU | 192.19 million LSU | 200.37 million LSU | 4 |
Countries ranked near Africa
More environment data for Africa
- Permanent crops — Area 45,962 1000 ha (2024)
- Cropland — Share in Agricultural land 26.39 % (2024)
- Cropland — Share in Land area 10.45 % (2024)
- Cropland — Area per capita 0.21 ha/cap (2024)
- Arable land — Area 266,831 1000 ha (2024)
- Arable land — Share in Agricultural land 22.51 % (2024)
- Nutrient phosphate P2O5 (total) — Use per value of agricultural 4.58 g/Int$ (2024)
- Nutrient phosphate P2O5 (total) — Agricultural Use 1.95 million t (2024)
- Nutrient phosphate P2O5 (total) — Use per area of cropland 6.03 kg/ha (2024)
- Cropland — Area 312,792 1000 ha (2024)
Frequently asked questions
- What is cattle and buffaloes — stocks in Africa?
- Cattle and buffaloes — stocks in Africa was 200.37 million LSU in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest cattle and buffaloes — stocks recorded in Africa?
- The highest recorded value was 200.37 million LSU in 2023.
- What is the lowest cattle and buffaloes — stocks recorded in Africa?
- The lowest recorded value was 68.45 million LSU in 1961.
- How does Africa rank for cattle and buffaloes — stocks?
- Africa ranks 8th out of 35 groups with data for 2023.
- Is cattle and buffaloes — stocks rising or falling in Africa?
- Over the last ten years it is up 19.1%. The long-run trend across the full record is rising.
- Where does this Africa 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.