Cattle and Buffaloes — Stocks in Land Locked Developing Countries (LLDCs)
Land Locked Developing Countries (LLDCs): Cattle and Buffaloes — Stocks was 150.17 million LSU in 2023. ◆ Volatile
Cattle and Buffaloes — Stocks in Land Locked Developing Countries (LLDCs), 1961–2023
Source: Food and Agriculture Organization of the United Nations. Measured in LSU.
Analysis
Land Locked Developing Countries (LLDCs) recorded 150.17 million LSU for cattle and buffaloes — stocks in 2023. That is the highest value across all 63 years on record.
The figure is up 0.5% on the previous year and up 24.1% over ten years.
Over the whole period, cattle and buffaloes — stocks in Land Locked Developing Countries (LLDCs) peaked at 150.17 million LSU in 2023 and was at its lowest, 24.46 million LSU, in 1961.
Land Locked Developing Countries (LLDCs) ranks 10th of 31 groups on this measure, in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Cattle and Buffaloes — Stocks in Land Locked Developing Countries (LLDCs), year by year
| Year | LSU | Change |
|---|---|---|
| 1961 | 24.46 million LSU | — |
| 1962 | 24.67 million LSU | +0.9% |
| 1963 | 24.94 million LSU | +1.1% |
| 1964 | 25.60 million LSU | +2.7% |
| 1965 | 26.28 million LSU | +2.7% |
| 1966 | 26.58 million LSU | +1.1% |
| 1967 | 27.57 million LSU | +3.7% |
| 1968 | 27.92 million LSU | +1.3% |
| 1969 | 28.84 million LSU | +3.3% |
| 1970 | 29.46 million LSU | +2.2% |
| 1971 | 30.12 million LSU | +2.2% |
| 1972 | 30.28 million LSU | +0.5% |
| 1973 | 29.38 million LSU | -3.0% |
| 1974 | 29.53 million LSU | +0.5% |
| 1975 | 31.01 million LSU | +5.0% |
| 1976 | 32.33 million LSU | +4.3% |
| 1977 | 33.29 million LSU | +3.0% |
| 1978 | 34.25 million LSU | +2.9% |
| 1979 | 35.01 million LSU | +2.2% |
| 1980 | 35.93 million LSU | +2.6% |
| 1981 | 36.72 million LSU | +2.2% |
| 1982 | 37.70 million LSU | +2.7% |
| 1983 | 38.14 million LSU | +1.2% |
| 1984 | 36.19 million LSU | -5.1% |
| 1985 | 36.04 million LSU | -0.4% |
| 1986 | 35.82 million LSU | -0.6% |
| 1987 | 36.04 million LSU | +0.6% |
| 1988 | 37.03 million LSU | +2.7% |
| 1989 | 37.88 million LSU | +2.3% |
| 1990 | 39.00 million LSU | +3.0% |
| 1991 | 38.66 million LSU | -0.9% |
| 1992 | 52.71 million LSU | +36.3% |
| 1993 | 67.19 million LSU | +27.5% |
| 1994 | 68.26 million LSU | +1.6% |
| 1995 | 69.53 million LSU | +1.9% |
| 1996 | 70.81 million LSU | +1.8% |
| 1997 | 71.70 million LSU | +1.3% |
| 1998 | 73.58 million LSU | +2.6% |
| 1999 | 74.84 million LSU | +1.7% |
| 2000 | 74.81 million LSU | -0.0% |
| 2001 | 75.96 million LSU | +1.5% |
| 2002 | 79.37 million LSU | +4.5% |
| 2003 | 81.73 million LSU | +3.0% |
| 2004 | 82.36 million LSU | +0.8% |
| 2005 | 85.43 million LSU | +3.7% |
| 2006 | 88.95 million LSU | +4.1% |
| 2007 | 93.63 million LSU | +5.3% |
| 2008 | 98.54 million LSU | +5.2% |
| 2009 | 103.01 million LSU | +4.5% |
| 2010 | 107.22 million LSU | +4.1% |
| 2011 | 108.57 million LSU | +1.3% |
| 2012 | 118.25 million LSU | +8.9% |
| 2013 | 120.98 million LSU | +2.3% |
| 2014 | 124.13 million LSU | +2.6% |
| 2015 | 127.24 million LSU | +2.5% |
| 2016 | 130.54 million LSU | +2.6% |
| 2017 | 132.67 million LSU | +1.6% |
| 2018 | 136.38 million LSU | +2.8% |
| 2019 | 140.35 million LSU | +2.9% |
| 2020 | 144.07 million LSU | +2.7% |
| 2021 | 145.56 million LSU | +1.0% |
| 2022 | 149.35 million LSU | +2.6% |
| 2023 | 150.17 million LSU | +0.5% |
Biggest year-on-year movements
Years where Cattle and Buffaloes — Stocks in Land Locked Developing Countries (LLDCs) changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 1992 | +36.3% | 38.66 million LSU | 52.71 million LSU |
| 1993 | +27.5% | 52.71 million LSU | 67.19 million LSU |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 26.32 million LSU | 24.46 million LSU | 28.84 million LSU | 9 |
| 1970s | 31.47 million LSU | 29.38 million LSU | 35.01 million LSU | 10 |
| 1980s | 36.75 million LSU | 35.82 million LSU | 38.14 million LSU | 10 |
| 1990s | 62.63 million LSU | 38.66 million LSU | 74.84 million LSU | 10 |
| 2000s | 86.38 million LSU | 74.81 million LSU | 103.01 million LSU | 10 |
| 2010s | 124.63 million LSU | 107.22 million LSU | 140.35 million LSU | 10 |
| 2020s | 147.29 million LSU | 144.07 million LSU | 150.17 million LSU | 4 |
Countries ranked near Land Locked Developing Countries (LLDCs)
- 7 Bolivia (Plurinational State of) 7.77 million LSU compare
- 7 Pakistan 50.21 million LSU compare
- 8 Argentina 37.97 million LSU compare
- 9 Viet Nam 5.61 million LSU compare
- 9 Australia and New Zealand 35.48 million LSU compare
- 10 Ethiopia 35.45 million LSU compare
- 10 Iran (Islamic Republic of) 3.95 million LSU compare
- 11 Australia 26.89 million LSU compare
- 11 Lao People's Democratic Republic 2.50 million LSU compare
- 12 Democratic Republic of the Congo 916,234 LSU compare
- 12 Mexico 25.63 million LSU compare
- 13 Sudan (former) 20.68 million LSU compare
- 13 Syrian Arab Republic 593,557 LSU compare
More environment data for Land Locked Developing Countries (LLDCs)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.243 °C (2025)
- Temperature change 1.74 °C (2025)
- Nutrient potash K2O (total) — Use per value of agricultural production 3.15 g/Int$ (2024)
- Nutrient potash K2O (total) — Import quantity 474,848 t (2024)
- Nutrient potash K2O (total) — Agricultural Use 672,511 t (2024)
- Nutrient potash K2O (total) — Use per area of cropland 4.01 kg/ha (2024)
- Nutrient potash K2O (total) — Use per capita 1.13 kg/cap (2024)
- Agricultural land — Share in Land area 50.46 % (2024)
- Agricultural land — Area 842,656 1000 ha (2024)
Frequently asked questions
- What is cattle and buffaloes — stocks in Land Locked Developing Countries (LLDCs)?
- Cattle and buffaloes — stocks in Land Locked Developing Countries (LLDCs) was 150.17 million LSU in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest cattle and buffaloes — stocks recorded in Land Locked Developing Countries (LLDCs)?
- The highest recorded value was 150.17 million LSU in 2023.
- What is the lowest cattle and buffaloes — stocks recorded in Land Locked Developing Countries (LLDCs)?
- The lowest recorded value was 24.46 million LSU in 1961.
- How does Land Locked Developing Countries (LLDCs) rank for cattle and buffaloes — stocks?
- Land Locked Developing Countries (LLDCs) ranks 10th out of 31 groups with data for 2023.
- Is cattle and buffaloes — stocks rising or falling in Land Locked Developing Countries (LLDCs)?
- Over the last ten years it is up 24.1%. The long-run trend across the full record is volatile.
- Where does this Land Locked Developing Countries (LLDCs) 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.