Cattle — Stocks in Southern Asia

Southern Asia: Cattle — Stocks was 148.20 million LSU in 2023. ▲ Rising

Latest (2023)
148.20 million LSU
Change on year
down 0.1%
Rank
11th
of 35 groups
All-time high
148.33 million LSU
in 2022
All-time low
114.45 million LSU
in 1963
Years of data
63
1961–2023

Cattle — Stocks in Southern Asia, 1961–2023

050.0M100.0M150.0M196119922023

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

Analysis

The most recent figure for cattle — stocks in Southern Asia is 148.20 million LSU, measured in 2023.

The figure is down 0.1% on the previous year and up 6.7% over ten years.

Over the whole period, cattle — stocks in Southern Asia peaked at 148.33 million LSU in 2022 and was at its lowest, 114.45 million LSU, in 1963.

Southern Asia ranks 11th of 35 groups on this measure, in the middle of the range.

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

Averages by decade

DecadeAverage LowestHighest Years
1960s 116.31 million LSU 114.45 million LSU 118.42 million LSU 9
1970s 121.21 million LSU 119.22 million LSU 126.28 million LSU 10
1980s 127.51 million LSU 122.19 million LSU 132.04 million LSU 10
1990s 132.99 million LSU 131.39 million LSU 133.91 million LSU 10
2000s 132.97 million LSU 127.70 million LSU 139.24 million LSU 10
2010s 139.79 million LSU 136.15 million LSU 144.59 million LSU 10
2020s 147.43 million LSU 146.34 million LSU 148.33 million LSU 4

Countries ranked near Southern Asia

  1. 8 Australia and New Zealand 35.48 million LSU compare
  2. 9 Ethiopia 35.45 million LSU compare
  3. 10 Pakistan 27.73 million LSU compare
  4. 11 Australia 26.89 million LSU compare
  5. 12 Mexico 25.63 million LSU compare
  6. 13 Sudan (former) 20.68 million LSU compare
  7. 14 Colombia 20.44 million LSU compare

See the full ranking of 241 places →

More environment data for Southern Asia

All data for Southern Asia →

Frequently asked questions

What is cattle — stocks in Southern Asia?
Cattle — stocks in Southern Asia was 148.20 million LSU in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest cattle — stocks recorded in Southern Asia?
The highest recorded value was 148.33 million LSU in 2022.
What is the lowest cattle — stocks recorded in Southern Asia?
The lowest recorded value was 114.45 million LSU in 1963.
How does Southern Asia rank for cattle — stocks?
Southern Asia ranks 11th out of 35 groups with data for 2023.
Is cattle — stocks rising or falling in Southern Asia?
Over the last ten years it is up 6.7%. The long-run trend across the full record is rising.
Where does this Southern Asia data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Cattle — 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 — 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.