Buffalo — Stocks in Russian Federation
Russian Federation: Buffalo — Stocks was 3,585 LSU in 2023. ▼ Falling
Buffalo — Stocks in Russian Federation, 1992–2023
Source: Food and Agriculture Organization of the United Nations. Measured in LSU.
Analysis
In 2023, buffalo — stocks in Russian Federation stood at 3,585 LSU. That is the lowest value across all 32 years on record.
The figure is down 13.2% on the previous year and down 14.7% over ten years.
Over the whole period, buffalo — stocks in Russian Federation peaked at 16,484 LSU in 1996 and was at its lowest, 3,585 LSU, in 2023.
Russian Federation ranks 38th of 69 countries on this measure, in the middle of the range.
The long-run direction has been consistently falling across the 32 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 14,308 LSU | 11,299 LSU | 16,484 LSU | 8 |
| 2000s | 10,930 LSU | 8,956 LSU | 12,560 LSU | 10 |
| 2010s | 4,830 LSU | 3,718 LSU | 7,378 LSU | 10 |
| 2020s | 4,096 LSU | 3,585 LSU | 4,467 LSU | 4 |
Countries ranked near Russian Federation
- 35 Syrian Arab Republic 4,551 LSU compare
- 36 Trinidad and Tobago 3,905 LSU compare
- 36 Caribbean 3,905 LSU compare
- 39 Greece 2,940 LSU compare
- 40 China, Taiwan Province of 1,408 LSU compare
- 41 Brunei Darussalam 711.2 LSU compare
More environment data for Russian Federation
- Nutrient nitrogen N (total) — Agricultural Use 2.24 million t (2024)
- Nutrient phosphate P2O5 (total) — Import quantity 14,339 t (2024)
- Nutrient nitrogen N (total) — Use per value of agricultural production 20.97 g/Int$ (2024)
- Nutrient nitrogen N (total) — Use per capita 15.45 kg/cap (2024)
- Nutrient nitrogen N (total) — Use per area of cropland 18.09 kg/ha (2024)
- Nutrient nitrogen N (total) — Import quantity 15,748 t (2024)
- Land area equipped for irrigation — Area 4,300 1000 ha (2024)
- Land area equipped for irrigation — Share in Cropland 3.48 % (2024)
- Nutrient phosphate P2O5 (total) — Agricultural Use 766,097 t (2024)
- Nutrient nitrogen N (total) — Export quantity 8.83 million t (2024)
Frequently asked questions
- What is buffalo — stocks in Russian Federation?
- Buffalo — stocks in Russian Federation was 3,585 LSU in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest buffalo — stocks recorded in Russian Federation?
- The highest recorded value was 16,484 LSU in 1996.
- What is the lowest buffalo — stocks recorded in Russian Federation?
- The lowest recorded value was 3,585 LSU in 2023.
- How does Russian Federation rank for buffalo — stocks?
- Russian Federation ranks 38th out of 69 countries with data for 2023.
- Is buffalo — stocks rising or falling in Russian Federation?
- Over the last ten years it is down 14.7%. The long-run trend across the full record is falling.
- Where does this Russian Federation data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Buffalo — Stocks. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 32 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.