Camels — Share in total livestock in China
China: Camels — Share in total livestock was 0.17 %LSU in 2023. ◆ Volatile
Camels — Share in total livestock in China, 1961–2023
Source: Food and Agriculture Organization of the United Nations. Measured in %LSU.
Analysis
China recorded 0.17 %LSU for camels — share in total livestock in 2023.
That represents a change of up 6.2% on the previous year and up 112.5% over ten years.
Over the whole period, camels — share in total livestock in China peaked at 0.37 %LSU in 1962 and was at its lowest, 0.07 %LSU, in 2008.
That places China 32nd out of 51 countries with data for 2023, putting it in the middle of the range.
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 | 0.3211 %LSU | 0.29 %LSU | 0.37 %LSU | 9 |
| 1970s | 0.277 %LSU | 0.26 %LSU | 0.31 %LSU | 10 |
| 1980s | 0.246 %LSU | 0.18 %LSU | 0.3 %LSU | 10 |
| 1990s | 0.13 %LSU | 0.1 %LSU | 0.18 %LSU | 10 |
| 2000s | 0.082 %LSU | 0.07 %LSU | 0.1 %LSU | 10 |
| 2010s | 0.09 %LSU | 0.07 %LSU | 0.14 %LSU | 10 |
| 2020s | 0.15 %LSU | 0.13 %LSU | 0.17 %LSU | 4 |
Countries ranked near China
- 29 Morocco 0.64 %LSU compare
- 30 Iran (Islamic Republic of) 0.54 %LSU compare
- 31 Burkina Faso 0.24 %LSU compare
- 32 China, mainland 0.17 %LSU compare
- 34 Senegal 0.07 %LSU compare
- 35 Lebanon 0.01 %LSU compare
More environment data for China
- Land area equipped for irrigation — Share in Cropland 57.9 % (2024)
- Land area equipped for irrigation — Area 74,915 1000 ha (2024)
- Inland waters — Area 17,531 1000 ha (2024)
- Permanent meadows and pastures — Share in Land area 27.93 % (2024)
- Permanent meadows and pastures — Share in Agricultural land 67.04 % (2024)
- Permanent meadows and pastures — Area 263,216 1000 ha (2024)
- Permanent crops — Share in Agricultural land 5.18 % (2024)
- Permanent crops — Area 20,327 1000 ha (2024)
- Arable land — Share in Agricultural land 27.78 % (2024)
- Arable land — Area 109,061 1000 ha (2024)
Frequently asked questions
- What is camels — share in total livestock in China?
- Camels — share in total livestock in China was 0.17 %LSU in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest camels — share in total livestock recorded in China?
- The highest recorded value was 0.37 %LSU in 1962.
- What is the lowest camels — share in total livestock recorded in China?
- The lowest recorded value was 0.07 %LSU in 2008.
- How does China rank for camels — share in total livestock?
- China ranks 32nd out of 51 countries with data for 2023.
- Is camels — share in total livestock rising or falling in China?
- Over the last ten years it is up 112.5%. The long-run trend across the full record is volatile.
- Where does this China data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Camels — 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.