Mules and hinnies — Stocks in Sub-Saharan Africa
Sub-Saharan Africa: Mules and hinnies — Stocks was 266,489 LSU in 2023. ◆ Volatile
Mules and hinnies — Stocks in Sub-Saharan Africa, 1961–2023
Source: Food and Agriculture Organization of the United Nations. Measured in LSU.
Analysis
Sub-Saharan Africa recorded 266,489 LSU for mules and hinnies — stocks in 2023.
Compared with earlier readings it is up 8.7% on the previous year and up 8.7% over ten years.
Over the whole period, mules and hinnies — stocks in Sub-Saharan Africa peaked at 893,028 LSU in 1979 and was at its lowest, 158,083 LSU, in 2000.
That places Sub-Saharan Africa 9th out of 28 groups 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 | 846,201 LSU | 827,966 LSU | 864,378 LSU | 9 |
| 1970s | 881,949 LSU | 871,210 LSU | 893,028 LSU | 10 |
| 1980s | 312,082 LSU | 245,042 LSU | 371,608 LSU | 10 |
| 1990s | 284,966 LSU | 165,705 LSU | 405,432 LSU | 10 |
| 2000s | 214,988 LSU | 158,083 LSU | 256,013 LSU | 10 |
| 2010s | 263,149 LSU | 241,270 LSU | 307,616 LSU | 10 |
| 2020s | 254,788 LSU | 245,123 LSU | 266,489 LSU | 4 |
Countries ranked near Sub-Saharan Africa
More environment data for Sub-Saharan Africa
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.223 °C (2025)
- Temperature change 1.21 °C (2025)
- Nitrous oxide (N2O) emissions (total) excluding LULUCF 305.43 Mt CO2e (2024)
- Aquaculture production 904,662 metric tons (2024)
- Nitrous oxide (N2O) emissions from Power Industry (Energy) 2.29 Mt CO2e (2024)
- Nitrous oxide (N2O) emissions from Transport (Energy) 2.96 Mt CO2e (2024)
- Permanent meadows and pastures — Share in Agricultural land 72.81 % (2024)
- Land area equipped for irrigation — Area 7,505 1000 ha (2024)
- Nitrous oxide (N2O) emissions from Waste 13.02 Mt CO2e (2024)
Frequently asked questions
- What is mules and hinnies — stocks in Sub-Saharan Africa?
- Mules and hinnies — stocks in Sub-Saharan Africa was 266,489 LSU in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest mules and hinnies — stocks recorded in Sub-Saharan Africa?
- The highest recorded value was 893,028 LSU in 1979.
- What is the lowest mules and hinnies — stocks recorded in Sub-Saharan Africa?
- The lowest recorded value was 158,083 LSU in 2000.
- How does Sub-Saharan Africa rank for mules and hinnies — stocks?
- Sub-Saharan Africa ranks 9th out of 28 groups with data for 2023.
- Is mules and hinnies — stocks rising or falling in Sub-Saharan Africa?
- Over the last ten years it is up 8.7%. The long-run trend across the full record is volatile.
- Where does this Sub-Saharan Africa data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Mules and hinnies — Stocks. 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.