Sheep — Livestock units per agricultural land area in Qatar
Qatar: Sheep — Livestock units per agricultural land area was 1.1 LSU/ha in 2023. ◆ Volatile
Sheep — Livestock units per agricultural land area in Qatar, 1961–2023
Source: Food and Agriculture Organization of the United Nations. Measured in LSU/ha.
Analysis
Qatar recorded 1.1 LSU/ha for sheep — livestock units per agricultural land area in 2023.
Compared with earlier readings it is up 93.0% over ten years.
Over the whole period, sheep — livestock units per agricultural land area in Qatar peaked at 1.38 LSU/ha in 2020 and was at its lowest, 0.05 LSU/ha, in 1961.
Qatar ranks 1st of 180 countries on this measure, in the top 10%.
The series is highly variable year to year, so single readings are best treated with caution.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 0.0578 LSU/ha | 0.05 LSU/ha | 0.06 LSU/ha | 9 |
| 1970s | 0.072 LSU/ha | 0.07 LSU/ha | 0.09 LSU/ha | 10 |
| 1980s | 0.131 LSU/ha | 0.07 LSU/ha | 0.21 LSU/ha | 10 |
| 1990s | 0.27 LSU/ha | 0.2 LSU/ha | 0.32 LSU/ha | 10 |
| 2000s | 0.238 LSU/ha | 0.17 LSU/ha | 0.33 LSU/ha | 10 |
| 2010s | 0.849 LSU/ha | 0.31 LSU/ha | 1.36 LSU/ha | 10 |
| 2020s | 1.21 LSU/ha | 1.1 LSU/ha | 1.38 LSU/ha | 4 |
Countries ranked near Qatar
More environment data for Qatar
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.396 °C (2025)
- Temperature change 1.77 °C (2025)
- Recovered paper — Production 15,000 t (2024)
- Total fibre furnish — Production 15,000 t (2024)
- Other paper and paperboard, not elsewhere specified — Import value 456 1000 USD (2024)
- Other paper and paperboard, not elsewhere specified — Import quantity 91 t (2024)
- Other paper and paperboard — Export value 5,680 1000 USD (2024)
- Other paper and paperboard — Export quantity 14,248 t (2024)
- Other paper and paperboard — Import value 49,357 1000 USD (2024)
Frequently asked questions
- What is sheep — livestock units per agricultural land area in Qatar?
- Sheep — livestock units per agricultural land area in Qatar was 1.1 LSU/ha in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest sheep — livestock units per agricultural land area recorded in Qatar?
- The highest recorded value was 1.38 LSU/ha in 2020.
- What is the lowest sheep — livestock units per agricultural land area recorded in Qatar?
- The lowest recorded value was 0.05 LSU/ha in 1961.
- How does Qatar rank for sheep — livestock units per agricultural land area?
- Qatar ranks 1st out of 180 countries with data for 2023.
- Is sheep — livestock units per agricultural land area rising or falling in Qatar?
- Over the last ten years it is up 93.0%. The long-run trend across the full record is volatile.
- Where does this Qatar data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Sheep — Livestock units per agricultural land area. 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.