Sheep — Share in total livestock in Tunisia
Tunisia: Sheep — Share in total livestock was 24.77 %LSU in 2023. ▼ Falling
Sheep — Share in total livestock in Tunisia, 1961–2023
Source: Food and Agriculture Organization of the United Nations. Measured in %LSU.
Analysis
Tunisia recorded 24.77 %LSU for sheep — share in total livestock in 2023.
The figure is up 1.6% on the previous year and down 9.2% over ten years.
Over the whole period, sheep — share in total livestock in Tunisia peaked at 43.52 %LSU in 1964 and was at its lowest, 24.38 %LSU, in 2022.
Tunisia ranks 20th of 192 countries on this measure, in the top 10%.
The long-run direction has been consistently falling across the 63 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 39.27 %LSU | 33.18 %LSU | 43.52 %LSU | 9 |
| 1970s | 33.68 %LSU | 29.86 %LSU | 36.62 %LSU | 10 |
| 1980s | 31.73 %LSU | 30.21 %LSU | 33.15 %LSU | 10 |
| 1990s | 32.08 %LSU | 29.6 %LSU | 34.43 %LSU | 10 |
| 2000s | 30.03 %LSU | 29.14 %LSU | 31.45 %LSU | 10 |
| 2010s | 26.85 %LSU | 25.49 %LSU | 29.03 %LSU | 10 |
| 2020s | 24.68 %LSU | 24.38 %LSU | 24.93 %LSU | 4 |
Countries ranked near Tunisia
- 17 Kyrgyzstan 26.04 %LSU compare
- 18 Azerbaijan 26.02 %LSU compare
- 19 North Macedonia 25.6 %LSU compare
- 21 Iceland 24.06 %LSU compare
- 22 Mongolia 23.67 %LSU compare
- 23 Iran (Islamic Republic of) 23.4 %LSU compare
More environment data for Tunisia
- Land area equipped for irrigation — Share in Cropland 9.06 % (2024)
- Land area equipped for irrigation — Area 443 1000 ha (2024)
- Inland waters — Area 825 1000 ha (2024)
- Permanent meadows and pastures — Share in Land area 30.61 % (2024)
- Permanent meadows and pastures — Share in Agricultural land 49.3 % (2024)
- Permanent meadows and pastures — Area 4,756 1000 ha (2024)
- Permanent crops — Share in Agricultural land 21.97 % (2024)
- Permanent crops — Area 2,119 1000 ha (2024)
- Arable land — Share in Agricultural land 28.74 % (2024)
- Arable land — Area 2,772 1000 ha (2024)
Frequently asked questions
- What is sheep — share in total livestock in Tunisia?
- Sheep — share in total livestock in Tunisia was 24.77 %LSU in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest sheep — share in total livestock recorded in Tunisia?
- The highest recorded value was 43.52 %LSU in 1964.
- What is the lowest sheep — share in total livestock recorded in Tunisia?
- The lowest recorded value was 24.38 %LSU in 2022.
- How does Tunisia rank for sheep — share in total livestock?
- Tunisia ranks 20th out of 192 countries with data for 2023.
- Is sheep — share in total livestock rising or falling in Tunisia?
- Over the last ten years it is down 9.2%. The long-run trend across the full record is falling.
- Where does this Tunisia data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Sheep — Share in total livestock. 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.