Cattle and Buffaloes — Stocks in Asia

Asia: Cattle and Buffaloes — Stocks was 384.78 million LSU in 2023. ▲ Rising

Latest (2023)
384.78 million LSU
Change on year
up 0.3%
Rank
3rd
of 35 groups
All-time high
384.78 million LSU
in 2023
All-time low
223.69 million LSU
in 1962
Years of data
63
1961–2023

Cattle and Buffaloes — Stocks in Asia, 1961–2023

0100.0M200.0M300.0M400.0M196119922023

Source: Food and Agriculture Organization of the United Nations. Measured in LSU.

Analysis

In 2023, cattle and buffaloes — stocks in Asia stood at 384.78 million LSU. That is the highest value across all 63 years on record.

The figure is up 0.3% on the previous year and up 9.3% over ten years.

Over the whole period, cattle and buffaloes — stocks in Asia peaked at 384.78 million LSU in 2023 and was at its lowest, 223.69 million LSU, in 1962.

That places Asia 3rd out of 35 groups with data for 2023, putting it in the top 10%.

The long-run direction has been consistently rising across the 63 years of available data.

Averages by decade

DecadeAverage LowestHighest Years
1960s 235.24 million LSU 223.69 million LSU 248.64 million LSU 9
1970s 253.97 million LSU 249.62 million LSU 261.72 million LSU 10
1980s 281.30 million LSU 259.54 million LSU 301.61 million LSU 10
1990s 329.79 million LSU 304.40 million LSU 347.04 million LSU 10
2000s 342.50 million LSU 332.85 million LSU 353.62 million LSU 10
2010s 356.99 million LSU 352.00 million LSU 366.56 million LSU 10
2020s 379.96 million LSU 373.15 million LSU 384.78 million LSU 4

Countries ranked near Asia

  1. 1 OECD 252.87 million LSU compare
  2. 2 Brazil 167.04 million LSU compare
  3. 3 India 153.26 million LSU compare
  4. 4 China 69.99 million LSU compare
  5. 5 China, mainland 69.88 million LSU compare
  6. 6 USSR 69.63 million LSU compare

See the full ranking of 241 places →

More environment data for Asia

All data for Asia →

Frequently asked questions

What is cattle and buffaloes — stocks in Asia?
Cattle and buffaloes — stocks in Asia was 384.78 million LSU in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest cattle and buffaloes — stocks recorded in Asia?
The highest recorded value was 384.78 million LSU in 2023.
What is the lowest cattle and buffaloes — stocks recorded in Asia?
The lowest recorded value was 223.69 million LSU in 1962.
How does Asia rank for cattle and buffaloes — stocks?
Asia ranks 3rd out of 35 groups with data for 2023.
Is cattle and buffaloes — stocks rising or falling in Asia?
Over the last ten years it is up 9.3%. The long-run trend across the full record is rising.
Where does this Asia 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

Indicator
Cattle and Buffaloes — Stocks
Unit
LSU
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
241 places, 13,793 data points, 1961–2023
Last refreshed

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.