Statizoid

Mules and hinnies — Share in total livestock by country

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...

Countries reporting
84
Highest
4.36 %LSU
Mexico
Lowest
0 %LSU
Réunion
Median
0.15 %LSU
Years covered
63
1961–2023
Data points
6,908

What the numbers show

Mules and hinnies — Share in total livestock is currently reported for 84 countries. The highest value is 4.36 %LSU in Mexico; the lowest is 0 %LSU in Réunion.

The median across all reporting countries is 0.15 %LSU, and the mean is 0.6083 %LSU.

Over the past decade 20 countries rose and 46 fell. The largest increase was in Botswana (up 114.3%), and the largest decrease in Armenia (down 100.0%).

Mules and hinnies — Share in total livestock: full country ranking

#Country LatestYear 10-year changeTrend
1 Mexico 4.36 %LSU 2023 down 10.5% falling
2 Haiti 3.89 %LSU 2023 up 47.9% falling
2 Cabo Verde 1.98 %LSU 2023 up 16.5% volatile
2 Iran (Islamic Republic of) 0.49 %LSU 2023 up 6.5% falling
3 Saint Lucia 3.83 %LSU 2023 down 1.8% falling
3 Caribbean 1.62 %LSU 2023 up 11.7% flat
3 Bolivia (Plurinational State of) 0.4 %LSU 2023 down 13.0% falling
4 Morocco 2.98 %LSU 2023 down 18.8% falling
4 Venezuela (Bolivarian Republic of) 0.3 %LSU 2023 up 3.4% falling
5 Belize 2.69 %LSU 2023 up 3.5% falling
6 Peru 2.03 %LSU 2023 down 4.7% rising
7 Tunisia 1.96 %LSU 2023 unchanged falling
7 Türkiye 0.05 %LSU 2023 down 70.6% volatile
8 Dominican Republic 1.82 %LSU 2023 down 15.3% falling
8 Syrian Arab Republic 0.04 %LSU 2023 down 20.0% volatile
9 Barbados 1.81 %LSU 2023 down 21.0% falling
10 El Salvador 1.71 %LSU 2023 up 8.2% flat
11 Jamaica 1.69 %LSU 2023 down 1.2% falling
12 Honduras 1.51 %LSU 2023 down 4.4% falling
13 Bhutan 1.5 %LSU 2023 down 1.3% falling
14 Lebanon 1.49 %LSU 2023 up 50.5% falling
15 Ethiopia PDR 1.35 %LSU 1992 up 35.0% falling
16 Libya 1.07 %LSU 2023 down 5.3% volatile
17 Puerto Rico 0.8 %LSU 2023 up 42.9% rising
18 Ecuador 0.68 %LSU 2023 down 43.3% falling
19 Nicaragua 0.65 %LSU 2023 down 16.7% falling
20 Malta 0.63 %LSU 2017 up 40.0% volatile
21 Guatemala 0.53 %LSU 2023 down 18.5% falling
22 OECD 0.49 %LSU 2023 down 5.8% falling
23 Ethiopia 0.46 %LSU 2023 down 19.3% falling
24 Albania 0.43 %LSU 2014 down 64.8% falling
24 Colombia 0.43 %LSU 2023 down 6.5% falling
26 Cyprus 0.42 %LSU 2017 up 2.4% volatile
27 Spain 0.38 %LSU 2017 down 2.6% volatile
28 Brazil 0.36 %LSU 2023 down 14.3% falling
28 Cuba 0.36 %LSU 2023 up 12.5% falling
30 Greece 0.33 %LSU 2017 down 29.8% volatile
31 Botswana 0.3 %LSU 2023 up 114.3% volatile
32 Trinidad and Tobago 0.27 %LSU 2023 down 12.9% volatile
33 Grenada 0.23 %LSU 2023 down 17.9% falling
34 Afghanistan 0.21 %LSU 2023 up 10.5% falling
35 Namibia 0.17 %LSU 2023 down 22.7% rising
36 Costa Rica 0.15 %LSU 2023 down 37.5% falling
36 Iraq 0.15 %LSU 2023 down 21.1% volatile
36 Pakistan 0.15 %LSU 2023 down 21.1% rising
36 Sao Tome and Principe 0.15 %LSU 2023 down 11.8% volatile
40 Lesotho 0.14 %LSU 2023 down 46.2% volatile
40 Somalia 0.14 %LSU 2023 up 7.7% falling
42 Chile 0.11 %LSU 2023 unchanged volatile
42 Algeria 0.11 %LSU 2023 down 64.5% volatile
42 Guadeloupe 0.11 %LSU 2006 up 10.0% volatile
45 Bulgaria 0.1 %LSU 2017 down 73.7% falling
45 China 0.1 %LSU 2023 down 67.7% falling
45 Israel 0.1 %LSU 2023 down 16.7% volatile
45 China, mainland 0.1 %LSU 2023 down 68.8% falling
49 Panama 0.08 %LSU 2023 down 11.1% falling
49 Portugal 0.08 %LSU 2017 down 60.0% volatile
51 France 0.07 %LSU 2017 up 40.0% volatile
51 South Africa 0.07 %LSU 2023 up 16.7% volatile
53 Argentina 0.06 %LSU 2023 down 76.9% falling
53 Paraguay 0.06 %LSU 2023 unchanged falling
55 Italy 0.04 %LSU 2017 down 20.0% volatile
55 Jordan 0.04 %LSU 2023 down 63.6% volatile
55 Yugoslav SFR 0.04 %LSU 1991 down 55.6% volatile
58 Egypt 0.03 %LSU 2023 up 50.0% volatile
58 India 0.03 %LSU 2023 down 57.1% rising
58 Uruguay 0.03 %LSU 2023 unchanged rising
61 Switzerland 0.02 %LSU 2023 unchanged rising
61 Guyana 0.02 %LSU 2023 down 33.3% volatile
61 Eswatini 0.02 %LSU 2023 unchanged volatile
61 Zimbabwe 0.02 %LSU 2023 unchanged falling
65 Canada 0.01 %LSU 2023 unchanged falling
65 Georgia 0.01 %LSU 2023 unchanged rising
65 Hungary 0.01 %LSU 2017 unchanged volatile
65 Ireland 0.01 %LSU 2017 unchanged volatile
65 Kyrgyzstan 0.01 %LSU 2023 down 50.0% falling
65 Myanmar 0.01 %LSU 2023 — volatile
65 Mauritius 0.01 %LSU 2023 unchanged volatile
65 Belgium-Luxembourg 0.01 %LSU 1985 unchanged falling
73 Armenia 0 %LSU 2023 down 100.0% volatile
73 Azerbaijan 0 %LSU 2023 — volatile
73 Thailand 0 %LSU 2023 — volatile
73 Republic of Korea 0 %LSU 1996 — volatile
73 Réunion 0 %LSU 2006 — volatile

Regions and income groups

Aggregates are excluded from the country ranking above so that a region can never outrank a country.

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Mules and hinnies — Share in total livestock by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 02 October 2026, from https://environment.statizoid.com/stat/mules-and-hinnies-share-in-total-livestock/

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About this data

Indicator
Mules and hinnies — Share in total livestock
Unit
%LSU
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
119 places, 6,908 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.