Chickens — Share in total livestock in Eswatini
Eswatini: Chickens — Share in total livestock was 5.62 %LSU in 2023. ◆ Volatile
Chickens — Share in total livestock in Eswatini, 1961–2023
Source: Food and Agriculture Organization of the United Nations. Measured in %LSU.
Analysis
Eswatini recorded 5.62 %LSU for chickens — share in total livestock in 2023.
The figure is up 1.4% on the previous year and up 17.1% over ten years.
Over the whole period, chickens — share in total livestock in Eswatini peaked at 6.37 %LSU in 2015 and was at its lowest, 1 %LSU, in 1961.
Eswatini ranks 160th of 209 countries on this measure, in the bottom quarter.
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 | 1.09 %LSU | 1 %LSU | 1.22 %LSU | 9 |
| 1970s | 1.36 %LSU | 1.1 %LSU | 1.59 %LSU | 10 |
| 1980s | 2.14 %LSU | 1.51 %LSU | 3.07 %LSU | 10 |
| 1990s | 2.67 %LSU | 2.25 %LSU | 3.29 %LSU | 10 |
| 2000s | 4.45 %LSU | 3.46 %LSU | 5.39 %LSU | 10 |
| 2010s | 4.99 %LSU | 3.47 %LSU | 6.37 %LSU | 10 |
| 2020s | 5.54 %LSU | 5.36 %LSU | 5.63 %LSU | 4 |
Countries ranked near Eswatini
- 157 Nicaragua 6.29 %LSU compare
- 158 Cook Islands 5.89 %LSU compare
- 159 Turkmenistan 5.83 %LSU compare
- 161 Oman 5.51 %LSU compare
- 162 Syrian Arab Republic 5.38 %LSU compare
- 163 Vanuatu 5.37 %LSU compare
More environment data for Eswatini
- Land area equipped for irrigation — Share in Cropland 25.26 % (2024)
- Land area equipped for irrigation — Area 49.85 1000 ha (2024)
- Inland waters — Area 16 1000 ha (2024)
- Permanent meadows and pastures — Share in Land area 58.14 % (2024)
- Permanent meadows and pastures — Share in Agricultural land 83.52 % (2024)
- Permanent meadows and pastures — Area 1,000 1000 ha (2024)
- Permanent crops — Share in Agricultural land 1.7 % (2024)
- Permanent crops — Area 20.38 1000 ha (2024)
- Arable land — Share in Agricultural land 14.78 % (2024)
- Arable land — Area 177 1000 ha (2024)
Frequently asked questions
- What is chickens — share in total livestock in Eswatini?
- Chickens — share in total livestock in Eswatini was 5.62 %LSU in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest chickens — share in total livestock recorded in Eswatini?
- The highest recorded value was 6.37 %LSU in 2015.
- What is the lowest chickens — share in total livestock recorded in Eswatini?
- The lowest recorded value was 1 %LSU in 1961.
- How does Eswatini rank for chickens — share in total livestock?
- Eswatini ranks 160th out of 209 countries with data for 2023.
- Is chickens — share in total livestock rising or falling in Eswatini?
- Over the last ten years it is up 17.1%. The long-run trend across the full record is volatile.
- Where does this Eswatini data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Chickens — 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.