Horses — Stocks, per square kilometre in Sub-Saharan Africa
Sub-Saharan Africa: Horses — Stocks, per square kilometre was 0.2694 An per square kilometre in 2023. ▲ Rising
Horses — Stocks, per square kilometre in Sub-Saharan Africa, 1961–2023
Source: Statizoid (derived). Measured in An per square kilometre.
Analysis
In 2023, horses — stocks, per square kilometre in Sub-Saharan Africa stood at 0.2694 An per square kilometre. That is the highest value across all 63 years on record.
The figure is up 2.7% on the previous year and up 33.0% over ten years.
Over the whole period, horses — stocks, per square kilometre in Sub-Saharan Africa peaked at 0.2694 An per square kilometre in 2023 and was at its lowest, 0.1356 An per square kilometre, in 1963.
The long-run direction has been consistently rising across the 63 years of available data.
Horses — Stocks, per square kilometre in Sub-Saharan Africa, year by year
| Year | An per square kilometre | Change |
|---|---|---|
| 1961 | 0.1358 An per square kilometre | — |
| 1962 | 0.1359 An per square kilometre | +0.1% |
| 1963 | 0.1356 An per square kilometre | -0.2% |
| 1964 | 0.1381 An per square kilometre | +1.9% |
| 1965 | 0.1452 An per square kilometre | +5.1% |
| 1966 | 0.1457 An per square kilometre | +0.4% |
| 1967 | 0.147 An per square kilometre | +0.9% |
| 1968 | 0.1458 An per square kilometre | -0.8% |
| 1969 | 0.1474 An per square kilometre | +1.1% |
| 1970 | 0.1482 An per square kilometre | +0.6% |
| 1971 | 0.1489 An per square kilometre | +0.5% |
| 1972 | 0.1459 An per square kilometre | -2.0% |
| 1973 | 0.1437 An per square kilometre | -1.5% |
| 1974 | 0.1457 An per square kilometre | +1.4% |
| 1975 | 0.1464 An per square kilometre | +0.5% |
| 1976 | 0.1492 An per square kilometre | +1.9% |
| 1977 | 0.1519 An per square kilometre | +1.9% |
| 1978 | 0.1529 An per square kilometre | +0.6% |
| 1979 | 0.1529 An per square kilometre | +0.0% |
| 1980 | 0.1529 An per square kilometre | +0.0% |
| 1981 | 0.1655 An per square kilometre | +8.2% |
| 1982 | 0.1745 An per square kilometre | +5.4% |
| 1983 | 0.1887 An per square kilometre | +8.2% |
| 1984 | 0.1827 An per square kilometre | -3.2% |
| 1985 | 0.1913 An per square kilometre | +4.7% |
| 1986 | 0.1964 An per square kilometre | +2.7% |
| 1987 | 0.1997 An per square kilometre | +1.7% |
| 1988 | 0.2041 An per square kilometre | +2.2% |
| 1989 | 0.2067 An per square kilometre | +1.3% |
| 1990 | 0.2255 An per square kilometre | +9.1% |
| 1991 | 0.2291 An per square kilometre | +1.6% |
| 1992 | 0.2316 An per square kilometre | +1.1% |
| 1993 | 0.1467 An per square kilometre | -36.6% |
| 1994 | 0.1506 An per square kilometre | +2.7% |
| 1995 | 0.1525 An per square kilometre | +1.3% |
| 1996 | 0.1542 An per square kilometre | +1.1% |
| 1997 | 0.1566 An per square kilometre | +1.5% |
| 1998 | 0.1601 An per square kilometre | +2.3% |
| 1999 | 0.161 An per square kilometre | +0.6% |
| 2000 | 0.16 An per square kilometre | -0.6% |
| 2001 | 0.1707 An per square kilometre | +6.7% |
| 2002 | 0.1817 An per square kilometre | +6.4% |
| 2003 | 0.1845 An per square kilometre | +1.6% |
| 2004 | 0.187 An per square kilometre | +1.4% |
| 2005 | 0.1904 An per square kilometre | +1.8% |
| 2006 | 0.1936 An per square kilometre | +1.7% |
| 2007 | 0.2069 An per square kilometre | +6.9% |
| 2008 | 0.2098 An per square kilometre | +1.4% |
| 2009 | 0.2218 An per square kilometre | +5.7% |
| 2010 | 0.2276 An per square kilometre | +2.6% |
| 2011 | 0.2251 An per square kilometre | -1.1% |
| 2012 | 0.2003 An per square kilometre | -11.0% |
| 2013 | 0.2025 An per square kilometre | +1.1% |
| 2014 | 0.2068 An per square kilometre | +2.1% |
| 2015 | 0.2362 An per square kilometre | +14.2% |
| 2016 | 0.2425 An per square kilometre | +2.6% |
| 2017 | 0.2392 An per square kilometre | -1.3% |
| 2018 | 0.2391 An per square kilometre | -0.0% |
| 2019 | 0.2495 An per square kilometre | +4.3% |
| 2020 | 0.2534 An per square kilometre | +1.6% |
| 2021 | 0.2564 An per square kilometre | +1.2% |
| 2022 | 0.2623 An per square kilometre | +2.3% |
| 2023 | 0.2694 An per square kilometre | +2.7% |
Biggest year-on-year movements
Years where Horses — Stocks, per square kilometre in Sub-Saharan Africa changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 1993 | -36.6% | 0.2316 An per square kilometre | 0.1467 An per square kilometre |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 0.1418 An per square kilometre | 0.1356 An per square kilometre | 0.1474 An per square kilometre | 9 |
| 1970s | 0.1486 An per square kilometre | 0.1437 An per square kilometre | 0.1529 An per square kilometre | 10 |
| 1980s | 0.1863 An per square kilometre | 0.1529 An per square kilometre | 0.2067 An per square kilometre | 10 |
| 1990s | 0.1768 An per square kilometre | 0.1467 An per square kilometre | 0.2316 An per square kilometre | 10 |
| 2000s | 0.1906 An per square kilometre | 0.16 An per square kilometre | 0.2218 An per square kilometre | 10 |
| 2010s | 0.2269 An per square kilometre | 0.2003 An per square kilometre | 0.2495 An per square kilometre | 10 |
| 2020s | 0.2604 An per square kilometre | 0.2534 An per square kilometre | 0.2694 An per square kilometre | 4 |
Countries ranked near Sub-Saharan Africa
- 1 Haiti 18.17 An per square kilometre compare
- 2 Tonga 16.52 An per square kilometre compare
- 3 Cuba 8.71 An per square kilometre compare
- 4 Dominican Republic 7.63 An per square kilometre compare
- 5 Sierra Leone 6.16 An per square kilometre compare
More environment data for Sub-Saharan Africa
- Historical exposure to drought — Land soil moisture anomaly -7.11 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -6.36 Percentage change (2025)
- 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)
Frequently asked questions
- What is horses — stocks, per square kilometre in Sub-Saharan Africa?
- Horses — stocks, per square kilometre in Sub-Saharan Africa was 0.2694 An per square kilometre in 2023, according to Statizoid (derived).
- What is the highest horses — stocks, per square kilometre recorded in Sub-Saharan Africa?
- The highest recorded value was 0.2694 An per square kilometre in 2023.
- What is the lowest horses — stocks, per square kilometre recorded in Sub-Saharan Africa?
- The lowest recorded value was 0.1356 An per square kilometre in 1963.
- How does Sub-Saharan Africa rank for horses — stocks, per square kilometre?
- Sub-Saharan Africa ranks 2nd out of 2 groups with data for 2023.
- Is horses — stocks, per square kilometre rising or falling in Sub-Saharan Africa?
- Over the last ten years it is up 33.0%. The long-run trend across the full record is rising.
- Where does this Sub-Saharan Africa data come from?
- The figures come from Statizoid (derived), published as part of Horses — Stocks, per square kilometre. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 63 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
Horses — Stocks divided by Land area (sq. km), matched on country and year. Neither publisher issues this ratio as a series; it is computed here from both.
Horses — Stocks ÷ Land area (sq. km)
Computed from
- Horses — Stocks Food and Agriculture Organization of the United Nations
- Land area FAOSTAT, Food and Agriculture Organization of the United Nations (FAO)
Statizoid computes this series; the underlying measurements belong to the publishers named above. The arithmetic is applied to every country and year where both inputs report, and nothing is estimated unless the page says so.
About this data
Horses — Stocks divided by Land area (sq. km), matched on country and year. Neither publisher issues this ratio as a series; it is computed here from both.