Sheep — Share in total livestock in Liberia
Liberia: Sheep — Share in total livestock was 12.56 %LSU in 2023. ▼ Falling
Sheep — Share in total livestock in Liberia, 1961–2023
Source: Food and Agriculture Organization of the United Nations. Measured in %LSU.
Analysis
In 2023, sheep — share in total livestock in Liberia stood at 12.56 %LSU. That is the lowest value across all 63 years on record.
Compared with earlier readings it is down 2.0% on the previous year and down 0.7% over ten years.
Over the whole period, sheep — share in total livestock in Liberia peaked at 20.28 %LSU in 1965 and was at its lowest, 12.56 %LSU, in 2023.
Liberia ranks 59th of 192 countries on this measure, in the middle of the range.
The long-run direction has been consistently falling across the 63 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 20.16 %LSU | 19.81 %LSU | 20.28 %LSU | 9 |
| 1970s | 19.37 %LSU | 19 %LSU | 19.63 %LSU | 10 |
| 1980s | 18.5 %LSU | 17.29 %LSU | 19.25 %LSU | 10 |
| 1990s | 17.5 %LSU | 17.43 %LSU | 17.62 %LSU | 10 |
| 2000s | 15.07 %LSU | 13.5 %LSU | 16.54 %LSU | 10 |
| 2010s | 12.72 %LSU | 12.6 %LSU | 13.12 %LSU | 10 |
| 2020s | 12.76 %LSU | 12.56 %LSU | 12.85 %LSU | 4 |
Countries ranked near Liberia
More environment data for Liberia
- Standard Deviation 0.221 °C (2025)
- Temperature change 1.42 °C (2025)
- Value Added (Agriculture, Forestry and Fishing) — Annual growth US$ 3.53 % (2024)
- Value Added (Agriculture, Forestry and Fishing) — Annual growth US$ 5.34 % (2024)
- Value Added (Agriculture, Forestry and Fishing) — Annual growth 3.53 % (2024)
- Value Added (Agriculture, Forestry and Fishing) — Annual growth 5.34 % (2024)
- Value Added (Agriculture, Forestry and Fishing) — Share of GDP 18.3 % (2024)
- Value Added (Agriculture, Forestry and Fishing) — Share of GDP 19.6 % (2024)
- Value Added (Agriculture, Forestry and Fishing) — Share of GDP US$ 18.3 % (2024)
- Value Added (Agriculture, Forestry and Fishing) — Share of GDP US$ 19.6 % (2024)
Frequently asked questions
- What is sheep — share in total livestock in Liberia?
- Sheep — share in total livestock in Liberia was 12.56 %LSU in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest sheep — share in total livestock recorded in Liberia?
- The highest recorded value was 20.28 %LSU in 1965.
- What is the lowest sheep — share in total livestock recorded in Liberia?
- The lowest recorded value was 12.56 %LSU in 2023.
- How does Liberia rank for sheep — share in total livestock?
- Liberia ranks 59th out of 192 countries with data for 2023.
- Is sheep — share in total livestock rising or falling in Liberia?
- Over the last ten years it is down 0.7%. The long-run trend across the full record is falling.
- Where does this Liberia 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.