Sheep and Goats — Stocks in Africa

Africa: Sheep and Goats — Stocks was 95.83 million LSU in 2023. ▲ Rising

Latest (2023)
95.83 million LSU
Change on year
up 2.9%
Rank
4th
of 35 groups
All-time high
95.83 million LSU
in 2023
All-time low
22.77 million LSU
in 1962
Years of data
63
1961–2023

Sheep and Goats — Stocks in Africa, 1961–2023

20.0M40.0M60.0M80.0M100.0M196119922023

Source: Food and Agriculture Organization of the United Nations. Measured in LSU.

Analysis

The most recent figure for sheep and goats — stocks in Africa is 95.83 million LSU, measured in 2023. That is the highest value across all 63 years on record.

That represents a change of up 2.9% on the previous year and up 29.4% over ten years.

Over the whole period, sheep and goats — stocks in Africa peaked at 95.83 million LSU in 2023 and was at its lowest, 22.77 million LSU, in 1962.

Africa ranks 4th of 35 groups on this measure, in the top 10%.

The long-run direction has been consistently rising across the 63 years of available data.

Averages by decade

DecadeAverage LowestHighest Years
1960s 24.76 million LSU 22.77 million LSU 27.44 million LSU 9
1970s 28.62 million LSU 27.24 million LSU 31.43 million LSU 10
1980s 34.68 million LSU 32.60 million LSU 38.56 million LSU 10
1990s 42.52 million LSU 38.99 million LSU 48.46 million LSU 10
2000s 57.23 million LSU 49.67 million LSU 65.44 million LSU 10
2010s 76.88 million LSU 67.19 million LSU 89.30 million LSU 10
2020s 92.89 million LSU 91.30 million LSU 95.83 million LSU 4

Countries ranked near Africa

  1. 1 China 32.24 million LSU compare
  2. 2 China, mainland 32.23 million LSU compare
  3. 3 OECD 27.40 million LSU compare
  4. 4 India 23.17 million LSU compare
  5. 5 Nigeria 14.07 million LSU compare
  6. 6 USSR 13.96 million LSU compare
  7. 7 Pakistan 11.71 million LSU compare

See the full ranking of 238 places →

More environment data for Africa

All data for Africa →

Frequently asked questions

What is sheep and goats — stocks in Africa?
Sheep and goats — stocks in Africa was 95.83 million LSU in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest sheep and goats — stocks recorded in Africa?
The highest recorded value was 95.83 million LSU in 2023.
What is the lowest sheep and goats — stocks recorded in Africa?
The lowest recorded value was 22.77 million LSU in 1962.
How does Africa rank for sheep and goats — stocks?
Africa ranks 4th out of 35 groups with data for 2023.
Is sheep and goats — stocks rising or falling in Africa?
Over the last ten years it is up 29.4%. The long-run trend across the full record is rising.
Where does this Africa data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Sheep and Goats — 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

Indicator
Sheep and Goats — Stocks
Unit
LSU
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
238 places, 13,567 data points, 1961–2023
Last refreshed

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.