Equidae — Livestock units per agricultural land area in Cameroon
Cameroon: Equidae — Livestock units per agricultural land area was 0 LSU/ha in 2023. ◆ Volatile
Equidae — Livestock units per agricultural land area in Cameroon, 1961–2023
Source: Food and Agriculture Organization of the United Nations. Measured in LSU/ha.
Analysis
In 2023, equidae — livestock units per agricultural land area in Cameroon stood at 0 LSU/ha. That is the lowest value across all 63 years on record.
Over the whole period, equidae — livestock units per agricultural land area in Cameroon peaked at 0.01 LSU/ha in 1963 and was at its lowest, 0 LSU/ha, in 1961.
That places Cameroon 111th out of 173 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 | 0.0078 LSU/ha | 0 LSU/ha | 0.01 LSU/ha | 9 |
| 1970s | 0.002 LSU/ha | 0 LSU/ha | 0.01 LSU/ha | 10 |
| 1980s | 0 LSU/ha | 0 LSU/ha | 0 LSU/ha | 10 |
| 1990s | 0 LSU/ha | 0 LSU/ha | 0 LSU/ha | 10 |
| 2000s | 0 LSU/ha | 0 LSU/ha | 0 LSU/ha | 10 |
| 2010s | 0 LSU/ha | 0 LSU/ha | 0 LSU/ha | 10 |
| 2020s | 0 LSU/ha | 0 LSU/ha | 0 LSU/ha | 4 |
Countries ranked near Cameroon
- 111 Algeria 0 LSU/ha compare
- 111 Angola 0 LSU/ha compare
- 111 Australia 0 LSU/ha compare
- 111 Bahamas 0 LSU/ha compare
- 111 Bahrain 0 LSU/ha compare
- 111 Belarus, Republic of 0 LSU/ha compare
- 111 Benin 0 LSU/ha compare
- 111 Bosnia and Herzegovina 0 LSU/ha compare
- 111 Botswana 0 LSU/ha compare
- 111 Cambodia 0 LSU/ha compare
- 111 Central African Republic 0 LSU/ha compare
- 111 China, Taiwan Province of 0 LSU/ha compare
- 111 Congo 0 LSU/ha compare
- 111 Czechoslovakia 0 LSU/ha compare
- 111 Djibouti 0 LSU/ha compare
- 111 Estonia 0 LSU/ha compare
- 111 Eswatini 0 LSU/ha compare
- 111 Ghana 0 LSU/ha compare
- 111 Greece 0 LSU/ha compare
- 111 Guinea 0 LSU/ha compare
- 111 Guinea-Bissau 0 LSU/ha compare
- 111 Guyana 0 LSU/ha compare
- 111 India 0 LSU/ha compare
- 111 Indonesia 0 LSU/ha compare
- 111 Japan 0 LSU/ha compare
- 111 Jordan 0 LSU/ha compare
- 111 Kenya 0 LSU/ha compare
- 111 Kuwait 0 LSU/ha compare
- 111 Latvia 0 LSU/ha compare
- 111 Libya 0 LSU/ha compare
- 111 Lithuania 0 LSU/ha compare
- 111 Madagascar, Republic of 0 LSU/ha compare
- 111 Malawi 0 LSU/ha compare
- 111 Malaysia 0 LSU/ha compare
- 111 Mauritania 0 LSU/ha compare
- 111 Mauritius 0 LSU/ha compare
- 111 Mozambique, Republic of 0 LSU/ha compare
- 111 Namibia 0 LSU/ha compare
- 111 New Zealand 0 LSU/ha compare
- 111 Papua New Guinea 0 LSU/ha compare
- 111 Réunion 0 LSU/ha compare
- 111 Russian Federation 0 LSU/ha compare
- 111 São Tomé and Príncipe, Democratic Republic of 0 LSU/ha compare
- 111 Saudi Arabia 0 LSU/ha compare
- 111 Serbia 0 LSU/ha compare
- 111 Serbia and Montenegro 0 LSU/ha compare
- 111 Slovak Republic 0 LSU/ha compare
- 111 Solomon Islands 0 LSU/ha compare
- 111 Somalia 0 LSU/ha compare
- 111 South Africa 0 LSU/ha compare
- 111 South Sudan, Republic of 0 LSU/ha compare
- 111 Sri Lanka 0 LSU/ha compare
- 111 Sudan (former) 0 LSU/ha compare
- 111 Suriname 0 LSU/ha compare
- 111 Thailand 0 LSU/ha compare
- 111 Togo 0 LSU/ha compare
- 111 Turkmenistan 0 LSU/ha compare
- 111 Uganda 0 LSU/ha compare
- 111 Ukraine 0 LSU/ha compare
- 111 United Arab Emirates 0 LSU/ha compare
- 111 Zambia 0 LSU/ha compare
- 111 Australia and New Zealand 0 LSU/ha compare
More environment data for Cameroon
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.211 °C (2025)
- Temperature change 1.15 °C (2025)
- Total fibre furnish — Production 0 t (2024)
- Other paper and paperboard, not elsewhere specified — Import value 1,065 1000 USD (2024)
- Other paper and paperboard, not elsewhere specified — Import quantity 156 t (2024)
- Other paper and paperboard — Export value 70 1000 USD (2024)
- Other paper and paperboard — Export quantity 78 t (2024)
- Other paper and paperboard — Import value 46,468 1000 USD (2024)
- Other paper and paperboard — Import quantity 54,609 t (2024)
Frequently asked questions
- What is equidae — livestock units per agricultural land area in Cameroon?
- Equidae — livestock units per agricultural land area in Cameroon was 0 LSU/ha in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest equidae — livestock units per agricultural land area recorded in Cameroon?
- The highest recorded value was 0.01 LSU/ha in 1963.
- What is the lowest equidae — livestock units per agricultural land area recorded in Cameroon?
- The lowest recorded value was 0 LSU/ha in 1961.
- How does Cameroon rank for equidae — livestock units per agricultural land area?
- Cameroon ranks 111th out of 173 countries with data for 2023.
- Where does this Cameroon data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Equidae — Livestock units per agricultural land area. 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.