Cattle and Buffaloes — Stocks in Kenya

Kenya: Cattle and Buffaloes — Stocks was 10.94 million LSU in 2023. ▲ Rising

Latest (2023)
10.94 million LSU
Change on year
up 5.0%
World rank
25th
of 206 countries
All-time high
13.38 million LSU
in 2020
All-time low
3.40 million LSU
in 1963
Years of data
63
1961–2023

Cattle and Buffaloes — Stocks in Kenya, 1961–2023

4.0M6.0M8.0M10.0M12.0M14.0M196119922023

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

Analysis

In 2023, cattle and buffaloes — stocks in Kenya stood at 10.94 million LSU.

Compared with earlier readings it is up 5.0% on the previous year and up 20.6% over ten years.

Over the whole period, cattle and buffaloes — stocks in Kenya peaked at 13.38 million LSU in 2020 and was at its lowest, 3.40 million LSU, in 1963.

That places Kenya 25th out of 206 countries with data for 2023, putting it in the top quarter.

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

Averages by decade

DecadeAverage LowestHighest Years
1960s 3.74 million LSU 3.40 million LSU 3.90 million LSU 9
1970s 4.80 million LSU 4.30 million LSU 5.73 million LSU 10
1980s 6.03 million LSU 4.90 million LSU 6.73 million LSU 10
1990s 6.30 million LSU 5.70 million LSU 6.90 million LSU 10
2000s 6.96 million LSU 5.72 million LSU 9.19 million LSU 10
2010s 9.48 million LSU 8.93 million LSU 10.44 million LSU 10
2020s 11.54 million LSU 10.42 million LSU 13.38 million LSU 4

Countries ranked near Kenya

  1. 22 Türkiye 11.61 million LSU compare
  2. 23 Venezuela (Bolivarian Republic of) 11.57 million LSU compare
  3. 24 Canada 11.29 million LSU compare
  4. 26 Russian Federation 10.50 million LSU compare
  5. 27 Nigeria 10.45 million LSU compare
  6. 28 Germany 9.76 million LSU compare

See the full ranking of 241 places →

More environment data for Kenya

All data for Kenya →

Frequently asked questions

What is cattle and buffaloes — stocks in Kenya?
Cattle and buffaloes — stocks in Kenya was 10.94 million LSU in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest cattle and buffaloes — stocks recorded in Kenya?
The highest recorded value was 13.38 million LSU in 2020.
What is the lowest cattle and buffaloes — stocks recorded in Kenya?
The lowest recorded value was 3.40 million LSU in 1963.
How does Kenya rank for cattle and buffaloes — stocks?
Kenya ranks 25th out of 206 countries with data for 2023.
Is cattle and buffaloes — stocks rising or falling in Kenya?
Over the last ten years it is up 20.6%. The long-run trend across the full record is rising.
Where does this Kenya data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Cattle and Buffaloes — 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
Cattle and Buffaloes — Stocks
Unit
LSU
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
241 places, 13,793 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.