Chickens — Stocks in Argentina
Argentina: Chickens — Stocks was 1.13 million LSU in 2023. ▲ Rising
Chickens — Stocks in Argentina, 1961–2023
Source: Food and Agriculture Organization of the United Nations. Measured in LSU.
Analysis
In 2023, chickens — stocks in Argentina stood at 1.13 million LSU.
The figure is down 2.3% on the previous year and up 6.0% over ten years.
Over the whole period, chickens — stocks in Argentina peaked at 1.18 million LSU in 2020 and was at its lowest, 300,000 LSU, in 1963.
Argentina ranks 45th of 209 countries 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 | 340,778 LSU | 300,000 LSU | 415,000 LSU | 9 |
| 1970s | 331,300 LSU | 313,000 LSU | 360,000 LSU | 10 |
| 1980s | 677,000 LSU | 620,000 LSU | 790,000 LSU | 10 |
| 1990s | 851,000 LSU | 670,000 LSU | 1.07 million LSU | 10 |
| 2000s | 971,000 LSU | 860,000 LSU | 1.10 million LSU | 10 |
| 2010s | 1.10 million LSU | 980,000 LSU | 1.18 million LSU | 10 |
| 2020s | 1.16 million LSU | 1.13 million LSU | 1.18 million LSU | 4 |
Countries ranked near Argentina
- 42 Australia and New Zealand 1.34 million LSU compare
- 43 Venezuela (Bolivarian Republic of) 1.33 million LSU compare
- 44 Belarus 1.20 million LSU compare
- 46 Australia 1.09 million LSU compare
- 47 China, Taiwan Province of 1.03 million LSU compare
- 48 Senegal 1.02 million LSU compare
More environment data for Argentina
- Land area equipped for irrigation — Share in Cropland 4.29 % (2024)
- Land area equipped for irrigation — Area 2,100 1000 ha (2024)
- Inland waters — Area 4,371 1000 ha (2024)
- Permanent meadows and pastures — Share in Land area 11.64 % (2024)
- Permanent meadows and pastures — Share in Agricultural land 39.44 % (2024)
- Permanent meadows and pastures — Area 31,863 1000 ha (2024)
- Permanent crops — Share in Agricultural land 2.59 % (2024)
- Permanent crops — Area 2,094 1000 ha (2024)
- Arable land — Share in Agricultural land 57.97 % (2024)
- Arable land — Area 46,842 1000 ha (2024)
Frequently asked questions
- What is chickens — stocks in Argentina?
- Chickens — stocks in Argentina was 1.13 million LSU in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest chickens — stocks recorded in Argentina?
- The highest recorded value was 1.18 million LSU in 2020.
- What is the lowest chickens — stocks recorded in Argentina?
- The lowest recorded value was 300,000 LSU in 1963.
- How does Argentina rank for chickens — stocks?
- Argentina ranks 45th out of 209 countries with data for 2023.
- Is chickens — stocks rising or falling in Argentina?
- Over the last ten years it is up 6.0%. The long-run trend across the full record is rising.
- Where does this Argentina data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Chickens — 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.