Horses — Livestock units per agricultural land area 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
164
Highest
0.25 LSU/ha
China, Hong Kong SAR
Lowest
0 LSU/ha
Réunion
Median
0.01 LSU/ha
Years covered
63
1961–2023
Data points
11,867
What the numbers show
Horses — Livestock units per agricultural land area is currently reported for 164 countries. The highest value is 0.25 LSU/ha in China, Hong Kong SAR; the lowest is 0 LSU/ha in Réunion.
The median across all reporting countries is 0.01 LSU/ha, and the mean is 0.0171 LSU/ha.
Over the past decade 15 countries rose and 27 fell. The largest increase was in Qatar (up 200.0%), and the largest decrease in Bosnia and Herzegovina (down 100.0%).
Horses — Livestock units per agricultural land area: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China, Hong Kong SAR | 0.25 LSU/ha | 2023 | up 31.6% | volatile |
| 1 | Cook Islands | 0.1 LSU/ha | 2023 | unchanged | volatile |
| 2 | Tonga | 0.22 LSU/ha | 2023 | unchanged | rising |
| 3 | Haiti | 0.18 LSU/ha | 2023 | up 12.5% | rising |
| 4 | Fiji, Republic of | 0.1 LSU/ha | 2023 | unchanged | rising |
| 5 | Cuba | 0.09 LSU/ha | 2023 | up 28.6% | falling |
| 5 | Dominican Republic | 0.09 LSU/ha | 2023 | down 10.0% | rising |
| 5 | Qatar | 0.09 LSU/ha | 2023 | up 200.0% | volatile |
| 8 | Barbados | 0.08 LSU/ha | 2023 | up 14.3% | rising |
| 9 | St. Lucia | 0.07 LSU/ha | 2023 | unchanged | rising |
| 9 | Malta | 0.07 LSU/ha | 2017 | unchanged | rising |
| 11 | Sierra Leone | 0.06 LSU/ha | 2023 | up 20.0% | flat |
| 12 | French Polynesia | 0.05 LSU/ha | 2023 | up 25.0% | rising |
| 13 | Antigua and Barbuda | 0.04 LSU/ha | 2023 | unchanged | falling |
| 13 | New Caledonia | 0.04 LSU/ha | 2023 | unchanged | rising |
| 13 | El Salvador | 0.04 LSU/ha | 2023 | unchanged | rising |
| 13 | Netherlands (Kingdom of the) | 0.04 LSU/ha | 2023 | down 20.0% | rising |
| 17 | Costa Rica | 0.03 LSU/ha | 2023 | unchanged | rising |
| 17 | Ethiopia, The Federal Democratic Republic of | 0.03 LSU/ha | 2023 | unchanged | rising |
| 17 | Honduras | 0.03 LSU/ha | 2023 | unchanged | flat |
| 17 | Kyrgyz Republic | 0.03 LSU/ha | 2023 | unchanged | rising |
| 17 | Mexico | 0.03 LSU/ha | 2023 | unchanged | rising |
| 17 | Mongolia | 0.03 LSU/ha | 2023 | up 200.0% | rising |
| 17 | Nicaragua | 0.03 LSU/ha | 2023 | unchanged | falling |
| 17 | Senegal | 0.03 LSU/ha | 2023 | unchanged | rising |
| 17 | Samoa | 0.03 LSU/ha | 2023 | up 50.0% | falling |
| 17 | Belgium-Luxembourg | 0.03 LSU/ha | 1999 | unchanged | falling |
| 17 | United Kingdom of Great Britain and Northern Ireland | 0.03 LSU/ha | 2023 | up 50.0% | volatile |
| 17 | Ethiopia PDR | 0.03 LSU/ha | 1992 | up 50.0% | rising |
| 29 | Albania | 0.02 LSU/ha | 2023 | unchanged | falling |
| 29 | Austria | 0.02 LSU/ha | 2017 | unchanged | rising |
| 29 | Belize | 0.02 LSU/ha | 2023 | unchanged | falling |
| 29 | Brazil | 0.02 LSU/ha | 2023 | up 100.0% | rising |
| 29 | Switzerland | 0.02 LSU/ha | 2023 | unchanged | falling |
| 29 | Chile | 0.02 LSU/ha | 2023 | up 100.0% | falling |
| 29 | Colombia | 0.02 LSU/ha | 2023 | up 100.0% | rising |
| 29 | Germany | 0.02 LSU/ha | 2023 | unchanged | flat |
| 29 | Ecuador | 0.02 LSU/ha | 2023 | down 33.3% | falling |
| 29 | Finland | 0.02 LSU/ha | 2018 | unchanged | volatile |
| 29 | Gambia, The | 0.02 LSU/ha | 2023 | — | volatile |
| 29 | Iceland | 0.02 LSU/ha | 2023 | down 33.3% | rising |
| 29 | Italy | 0.02 LSU/ha | 2017 | up 100.0% | rising |
| 29 | Luxembourg | 0.02 LSU/ha | 2022 | unchanged | flat |
| 29 | Norway | 0.02 LSU/ha | 2023 | unchanged | volatile |
| 29 | Panama | 0.02 LSU/ha | 2023 | down 33.3% | falling |
| 29 | Peru | 0.02 LSU/ha | 2023 | unchanged | flat |
| 29 | Puerto Rico | 0.02 LSU/ha | 2023 | down 33.3% | rising |
| 29 | Romania | 0.02 LSU/ha | 2021 | down 33.3% | flat |
| 29 | Slovenia, Republic of | 0.02 LSU/ha | 2017 | unchanged | rising |
| 29 | Sweden | 0.02 LSU/ha | 2017 | unchanged | rising |
| 29 | Trinidad and Tobago | 0.02 LSU/ha | 2023 | unchanged | rising |
| 29 | Uruguay | 0.02 LSU/ha | 2023 | unchanged | flat |
| 52 | Argentina | 0.01 LSU/ha | 2023 | down 50.0% | falling |
| 52 | Armenia, Republic of | 0.01 LSU/ha | 2023 | — | volatile |
| 52 | Azerbaijan, Republic of | 0.01 LSU/ha | 2023 | unchanged | flat |
| 52 | Belgium | 0.01 LSU/ha | 2017 | down 50.0% | rising |
| 52 | Bulgaria | 0.01 LSU/ha | 2017 | down 50.0% | falling |
| 52 | Bhutan | 0.01 LSU/ha | 2023 | down 66.7% | rising |
| 52 | Canada | 0.01 LSU/ha | 2023 | unchanged | volatile |
| 52 | Czech Republic | 0.01 LSU/ha | 2022 | unchanged | volatile |
| 52 | Denmark | 0.01 LSU/ha | 2022 | down 50.0% | falling |
| 52 | Egypt, Arab Republic of | 0.01 LSU/ha | 2023 | unchanged | volatile |
| 52 | Spain | 0.01 LSU/ha | 2017 | unchanged | flat |
| 52 | France | 0.01 LSU/ha | 2022 | unchanged | falling |
| 52 | Georgia | 0.01 LSU/ha | 2023 | unchanged | rising |
| 52 | Guatemala | 0.01 LSU/ha | 2023 | down 50.0% | falling |
| 52 | Croatia, Republic of | 0.01 LSU/ha | 2018 | unchanged | rising |
| 52 | Ireland | 0.01 LSU/ha | 2019 | unchanged | falling |
| 52 | Jamaica | 0.01 LSU/ha | 2023 | unchanged | flat |
| 52 | Kazakhstan, Republic of | 0.01 LSU/ha | 2023 | unchanged | volatile |
| 52 | Lesotho, Kingdom of | 0.01 LSU/ha | 2023 | unchanged | falling |
| 52 | North Macedonia, Republic of | 0.01 LSU/ha | 2023 | unchanged | volatile |
| 52 | Mali | 0.01 LSU/ha | 2023 | unchanged | volatile |
| 52 | Myanmar | 0.01 LSU/ha | 2023 | unchanged | rising |
| 52 | Montenegro | 0.01 LSU/ha | 2023 | unchanged | flat |
| 52 | Pakistan | 0.01 LSU/ha | 2023 | unchanged | flat |
| 52 | Philippines | 0.01 LSU/ha | 2023 | unchanged | falling |
| 52 | Poland, Republic of | 0.01 LSU/ha | 2023 | unchanged | volatile |
| 52 | Portugal | 0.01 LSU/ha | 2022 | down 50.0% | volatile |
| 52 | Paraguay | 0.01 LSU/ha | 2023 | unchanged | falling |
| 52 | Chad | 0.01 LSU/ha | 2023 | — | volatile |
| 52 | Tajikistan, Republic of | 0.01 LSU/ha | 2023 | unchanged | flat |
| 52 | Uzbekistan, Republic of | 0.01 LSU/ha | 2023 | unchanged | volatile |
| 52 | Vanuatu | 0.01 LSU/ha | 2023 | down 50.0% | rising |
| 52 | French Guiana | 0.01 LSU/ha | 2006 | unchanged | rising |
| 52 | Martinique | 0.01 LSU/ha | 2006 | down 75.0% | volatile |
| 52 | USSR | 0.01 LSU/ha | 1991 | unchanged | flat |
| 52 | OECD | 0.01 LSU/ha | 2023 | unchanged | flat |
| 52 | Republic of Korea | 0.01 LSU/ha | 2023 | unchanged | volatile |
| 52 | Yugoslav SFR | 0.01 LSU/ha | 1991 | down 66.7% | falling |
| 90 | Afghanistan, Islamic Republic of | 0 LSU/ha | 2023 | — | flat |
| 90 | Angola | 0 LSU/ha | 2023 | — | flat |
| 90 | United Arab Emirates | 0 LSU/ha | 2023 | — | flat |
| 90 | Australia | 0 LSU/ha | 2023 | — | flat |
| 90 | Benin | 0 LSU/ha | 2023 | — | flat |
| 90 | Burkina Faso | 0 LSU/ha | 2023 | — | flat |
| 90 | Bahamas, The | 0 LSU/ha | 1992 | — | volatile |
| 90 | Bosnia and Herzegovina | 0 LSU/ha | 2023 | down 100.0% | volatile |
| 90 | Belarus, Republic of | 0 LSU/ha | 2023 | down 100.0% | volatile |
| 90 | Botswana | 0 LSU/ha | 2023 | — | flat |
| 90 | China, People's Republic of | 0 LSU/ha | 2023 | down 100.0% | volatile |
| 90 | Cameroon | 0 LSU/ha | 2023 | — | flat |
| 90 | Congo, Republic of | 0 LSU/ha | 2023 | — | flat |
| 90 | Cyprus | 0 LSU/ha | 1990 | — | flat |
| 90 | Algeria | 0 LSU/ha | 2023 | — | flat |
| 90 | Estonia, Republic of | 0 LSU/ha | 2018 | — | volatile |
| 90 | Ghana | 0 LSU/ha | 2023 | — | flat |
| 90 | Guinea | 0 LSU/ha | 2023 | — | flat |
| 90 | Guinea-Bissau | 0 LSU/ha | 2023 | — | flat |
| 90 | Greece | 0 LSU/ha | 2018 | — | volatile |
| 90 | Grenada | 0 LSU/ha | 2023 | — | flat |
| 90 | Guyana | 0 LSU/ha | 2023 | — | flat |
| 90 | Hungary | 0 LSU/ha | 2023 | down 100.0% | volatile |
| 90 | Indonesia | 0 LSU/ha | 2023 | down 100.0% | falling |
| 90 | India | 0 LSU/ha | 2023 | — | flat |
| 90 | Iraq | 0 LSU/ha | 2023 | — | volatile |
| 90 | Israel | 0 LSU/ha | 2023 | — | volatile |
| 90 | Jordan | 0 LSU/ha | 2023 | — | flat |
| 90 | Japan | 0 LSU/ha | 2023 | — | volatile |
| 90 | Kenya | 0 LSU/ha | 2023 | — | flat |
| 90 | Cambodia | 0 LSU/ha | 2023 | — | flat |
| 90 | Kuwait | 0 LSU/ha | 2023 | — | volatile |
| 90 | Lebanon | 0 LSU/ha | 2023 | — | volatile |
| 90 | Libya | 0 LSU/ha | 2023 | — | flat |
| 90 | Sri Lanka | 0 LSU/ha | 2023 | — | flat |
| 90 | Lithuania, Republic of | 0 LSU/ha | 2023 | down 100.0% | volatile |
| 90 | Latvia, Republic of | 0 LSU/ha | 2023 | — | volatile |
| 90 | Morocco | 0 LSU/ha | 2023 | — | volatile |
| 90 | Madagascar, Republic of | 0 LSU/ha | 2023 | — | flat |
| 90 | Mauritania, Islamic Republic of | 0 LSU/ha | 2023 | — | flat |
| 90 | Mauritius | 0 LSU/ha | 2023 | — | flat |
| 90 | Malawi | 0 LSU/ha | 2023 | — | flat |
| 90 | Malaysia | 0 LSU/ha | 2023 | — | flat |
| 90 | Namibia | 0 LSU/ha | 2023 | — | flat |
| 90 | Niger | 0 LSU/ha | 2023 | — | volatile |
| 90 | Nigeria | 0 LSU/ha | 2023 | — | flat |
| 90 | New Zealand | 0 LSU/ha | 2023 | — | flat |
| 90 | Papua New Guinea | 0 LSU/ha | 2023 | — | flat |
| 90 | Saudi Arabia | 0 LSU/ha | 2023 | — | flat |
| 90 | Sudan | 0 LSU/ha | 2023 | — | flat |
| 90 | Solomon Islands | 0 LSU/ha | 2023 | — | flat |
| 90 | Somalia | 0 LSU/ha | 2023 | — | flat |
| 90 | Serbia, Republic of | 0 LSU/ha | 2023 | — | flat |
| 90 | São Tomé and Príncipe, Democratic Republic of | 0 LSU/ha | 2023 | — | volatile |
| 90 | Suriname | 0 LSU/ha | 2023 | — | volatile |
| 90 | Slovak Republic | 0 LSU/ha | 2019 | — | flat |
| 90 | Eswatini, Kingdom of | 0 LSU/ha | 2023 | — | flat |
| 90 | Togo | 0 LSU/ha | 2023 | — | flat |
| 90 | Thailand | 0 LSU/ha | 2023 | — | volatile |
| 90 | Turkmenistan | 0 LSU/ha | 2023 | — | flat |
| 90 | Tunisia | 0 LSU/ha | 2023 | — | flat |
| 90 | Ukraine | 0 LSU/ha | 2023 | down 100.0% | volatile |
| 90 | Yemen, Republic of | 0 LSU/ha | 2023 | — | flat |
| 90 | South Africa | 0 LSU/ha | 2023 | — | flat |
| 90 | Zimbabwe | 0 LSU/ha | 2023 | — | flat |
| 90 | Guadeloupe | 0 LSU/ha | 2006 | down 100.0% | volatile |
| 90 | Serbia and Montenegro | 0 LSU/ha | 2005 | down 100.0% | volatile |
| 90 | Czechoslovakia | 0 LSU/ha | 1992 | — | volatile |
| 90 | Sudan (former) | 0 LSU/ha | 2011 | — | flat |
| 90 | Russian Federation | 0 LSU/ha | 2023 | — | volatile |
| 90 | Australia and New Zealand | 0 LSU/ha | 2023 | — | flat |
| 90 | China, mainland | 0 LSU/ha | 2023 | down 100.0% | volatile |
| 90 | China, Taiwan Province of | 0 LSU/ha | 2023 | — | flat |
| 90 | Réunion | 0 LSU/ha | 2006 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Americas 0.02 LSU/ha
- Northern Europe 0.02 LSU/ha
- World 0.01 LSU/ha
- Northern America 0.01 LSU/ha
- Western Europe 0.01 LSU/ha
- United States of America 0.01 LSU/ha
- Land Locked Developing Countries (LLDCs) 0.01 LSU/ha
- Low Income Food Deficit Countries (LIFDCs) 0.01 LSU/ha
- Net Food Importing Developing Countries (NFIDCs) 0.01 LSU/ha
- European Union (27) 0 LSU/ha
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.