Cattle — Stocks in Viet Nam
Viet Nam: Cattle — Stocks was 4.12 million LSU in 2023. ▲ Rising
Cattle — Stocks in Viet Nam, 1961–2023
Source: Food and Agriculture Organization of the United Nations. Measured in LSU.
Analysis
In 2023, cattle — stocks in Viet Nam stood at 4.12 million LSU.
That represents a change of down 0.3% on the previous year and up 22.8% over ten years.
Over the whole period, cattle — stocks in Viet Nam peaked at 4.37 million LSU in 2007 and was at its lowest, 953,030 LSU, in 1975.
That places Viet Nam 46th out of 206 countries with data for 2023, putting it 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 | 1.20 million LSU | 1.09 million LSU | 1.29 million LSU | 9 |
| 1970s | 1.03 million LSU | 953,030 LSU | 1.08 million LSU | 10 |
| 1980s | 1.60 million LSU | 1.08 million LSU | 2.08 million LSU | 10 |
| 1990s | 2.32 million LSU | 2.03 million LSU | 2.64 million LSU | 10 |
| 2000s | 3.42 million LSU | 2.53 million LSU | 4.37 million LSU | 10 |
| 2010s | 3.59 million LSU | 3.35 million LSU | 3.94 million LSU | 10 |
| 2020s | 4.10 million LSU | 4.05 million LSU | 4.13 million LSU | 4 |
Countries ranked near Viet Nam
- 43 Caribbean 5.10 million LSU compare
- 44 Burkina Faso 5.07 million LSU compare
- 45 Guinea 4.42 million LSU compare
- 47 Peru 4.11 million LSU compare
- 48 Kazakhstan 3.97 million LSU compare
- 49 Afghanistan 3.92 million LSU compare
More environment data for Viet Nam
- Land area equipped for irrigation — Area 4,585 1000 ha (2024)
- Permanent meadows and pastures — Area 642 1000 ha (2024)
- Permanent meadows and pastures — Share in Agricultural land 5.22 % (2024)
- Permanent meadows and pastures — Share in Land area 2.05 % (2024)
- Inland waters — Area 1,791 1000 ha (2024)
- Agricultural land — Area 12,291 1000 ha (2024)
- Land area — Area 31,343 1000 ha (2024)
- Agriculture — Area 12,291 1000 ha (2024)
- Permanent crops — Share in Agricultural land 40.03 % (2024)
- Land area equipped for irrigation — Share in Cropland 39.36 % (2024)
Frequently asked questions
- What is cattle — stocks in Viet Nam?
- Cattle — stocks in Viet Nam was 4.12 million LSU in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest cattle — stocks recorded in Viet Nam?
- The highest recorded value was 4.37 million LSU in 2007.
- What is the lowest cattle — stocks recorded in Viet Nam?
- The lowest recorded value was 953,030 LSU in 1975.
- How does Viet Nam rank for cattle — stocks?
- Viet Nam ranks 46th out of 206 countries with data for 2023.
- Is cattle — stocks rising or falling in Viet Nam?
- Over the last ten years it is up 22.8%. The long-run trend across the full record is rising.
- Where does this Viet Nam 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
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.