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
86
Highest
4.36 %LSU
Mexico
Lowest
0 %LSU
Russian Federation
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 86 countries. The highest value is 4.36 %LSU in Mexico; the lowest is 0 %LSU in Russian Federation.

The median across all reporting countries is 0.15 %LSU, and the mean is 0.5934 %LSU.

Over the past decade 19 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
3 Saint Lucia 3.83 %LSU 2023 down 1.8% falling
4 Morocco 2.98 %LSU 2023 down 18.8% falling
5 Belize 2.69 %LSU 2023 up 3.5% falling
6 Peru 2.03 %LSU 2023 down 4.7% rising
7 Cabo Verde 1.98 %LSU 2023 up 16.5% volatile
8 Tunisia 1.96 %LSU 2023 unchanged falling
9 Dominican Republic 1.82 %LSU 2023 down 15.3% falling
10 Barbados 1.81 %LSU 2023 down 21.0% falling
11 El Salvador 1.71 %LSU 2023 up 8.2% flat
12 Jamaica 1.69 %LSU 2023 down 1.2% falling
13 Caribbean 1.62 %LSU 2023 up 11.7% flat
14 Honduras 1.51 %LSU 2023 down 4.4% falling
15 Bhutan 1.5 %LSU 2023 down 1.3% falling
16 Lebanon 1.49 %LSU 2023 up 50.5% falling
17 Ethiopia PDR 1.35 %LSU 1992 up 35.0% falling
18 Libya 1.07 %LSU 2023 down 5.3% volatile
19 Puerto Rico 0.8 %LSU 2023 up 42.9% rising
20 Ecuador 0.68 %LSU 2023 down 43.3% falling
21 Nicaragua 0.65 %LSU 2023 down 16.7% falling
22 Malta 0.63 %LSU 2017 up 40.0% volatile
23 Guatemala 0.53 %LSU 2023 down 18.5% falling
24 OECD 0.49 %LSU 2023 down 5.8% falling
24 Iran (Islamic Republic of) 0.49 %LSU 2023 up 6.5% falling
26 Ethiopia 0.46 %LSU 2023 down 19.3% falling
27 Albania 0.43 %LSU 2014 down 64.8% falling
27 Colombia 0.43 %LSU 2023 down 6.5% falling
29 Cyprus 0.42 %LSU 2017 up 2.4% volatile
30 Bolivia (Plurinational State of) 0.4 %LSU 2023 down 13.0% falling
31 Spain 0.38 %LSU 2017 down 2.6% volatile
32 Brazil 0.36 %LSU 2023 down 14.3% falling
32 Cuba 0.36 %LSU 2023 up 12.5% falling
34 Greece 0.33 %LSU 2017 down 29.8% volatile
35 Botswana 0.3 %LSU 2023 up 114.3% volatile
35 Venezuela (Bolivarian Republic of) 0.3 %LSU 2023 up 3.4% falling
37 Trinidad and Tobago 0.27 %LSU 2023 down 12.9% volatile
38 Grenada 0.23 %LSU 2023 down 17.9% falling
39 Afghanistan 0.21 %LSU 2023 up 10.5% falling
40 Namibia 0.17 %LSU 2023 down 22.7% rising
41 Costa Rica 0.15 %LSU 2023 down 37.5% falling
41 Iraq 0.15 %LSU 2023 down 21.1% volatile
41 Pakistan 0.15 %LSU 2023 down 21.1% rising
41 Sao Tome and Principe 0.15 %LSU 2023 down 11.8% volatile
45 Lesotho 0.14 %LSU 2023 down 46.2% volatile
45 Somalia 0.14 %LSU 2023 up 7.7% falling
47 Chile 0.11 %LSU 2023 unchanged volatile
47 Algeria 0.11 %LSU 2023 down 64.5% volatile
47 Guadeloupe 0.11 %LSU 2006 up 10.0% volatile
50 Bulgaria 0.1 %LSU 2017 down 73.7% falling
50 China 0.1 %LSU 2023 down 67.7% falling
50 Israel 0.1 %LSU 2023 down 16.7% volatile
50 China, mainland 0.1 %LSU 2023 down 68.8% falling
54 Panama 0.08 %LSU 2023 down 11.1% falling
54 Portugal 0.08 %LSU 2017 down 60.0% volatile
56 France 0.07 %LSU 2017 up 40.0% volatile
57 Argentina 0.06 %LSU 2023 down 76.9% falling
57 Paraguay 0.06 %LSU 2023 unchanged falling
59 Türkiye 0.05 %LSU 2023 down 70.6% volatile
60 Italy 0.04 %LSU 2017 down 20.0% volatile
60 Jordan 0.04 %LSU 2023 down 63.6% volatile
60 Syrian Arab Republic 0.04 %LSU 2023 down 20.0% volatile
60 Yugoslav SFR 0.04 %LSU 1991 down 55.6% volatile
64 Egypt 0.03 %LSU 2023 up 50.0% volatile
64 India 0.03 %LSU 2023 down 57.1% rising
64 Uruguay 0.03 %LSU 2023 unchanged rising
67 Switzerland 0.02 %LSU 2023 unchanged rising
67 Guyana 0.02 %LSU 2023 down 33.3% volatile
67 Eswatini 0.02 %LSU 2023 unchanged volatile
67 Zimbabwe 0.02 %LSU 2023 unchanged falling
71 Canada 0.01 %LSU 2023 unchanged falling
71 Georgia 0.01 %LSU 2023 unchanged rising
71 Hungary 0.01 %LSU 2017 unchanged volatile
71 Ireland 0.01 %LSU 2017 unchanged volatile
71 Kyrgyzstan 0.01 %LSU 2023 down 50.0% falling
71 Myanmar 0.01 %LSU 2023 volatile
71 Mauritius 0.01 %LSU 2023 unchanged volatile
71 Belgium-Luxembourg 0.01 %LSU 1985 unchanged falling
79 Armenia 0 %LSU 2023 down 100.0% volatile
79 Azerbaijan 0 %LSU 2023 volatile
79 Sudan 0 %LSU 2023 flat
79 Thailand 0 %LSU 2023 volatile
79 USSR 0 %LSU 1991 flat
79 Sudan (former) 0 %LSU 2011 flat
79 Republic of Korea 0 %LSU 1996 volatile
79 Russian Federation 0 %LSU 2023 flat

Regions and income groups

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

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.