Sheep and Goats — 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...
What the numbers show
Sheep and Goats — Livestock units per agricultural land area is currently reported for 176 countries. The highest value is 1.6 LSU/ha in Qatar; the lowest is 0 LSU/ha in Vanuatu.
The median across all reporting countries is 0.06 LSU/ha, and the mean is 0.1098 LSU/ha.
Over the past decade 62 countries rose and 42 fell. The largest increase was in Saint Kitts and Nevis (up 123.5%), and the largest decrease in Latvia (down 100.0%).
Sheep and Goats — Livestock units per agricultural land area: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Qatar | 1.6 LSU/ha | 2023 | up 75.8% | volatile |
| 2 | United Arab Emirates | 1.12 LSU/ha | 2023 | up 7.7% | volatile |
| 3 | Bahrain | 1.04 LSU/ha | 2023 | up 50.7% | volatile |
| 4 | Kuwait | 0.64 LSU/ha | 2023 | up 48.8% | volatile |
| 5 | Cyprus | 0.48 LSU/ha | 2022 | down 9.4% | rising |
| 6 | Grenada | 0.44 LSU/ha | 2023 | up 41.9% | volatile |
| 7 | Antigua and Barbuda | 0.4 LSU/ha | 2023 | down 13.0% | rising |
| 7 | Nepal | 0.4 LSU/ha | 2023 | up 53.8% | rising |
| 9 | Saint Kitts and Nevis | 0.38 LSU/ha | 2023 | up 123.5% | rising |
| 9 | Seychelles | 0.38 LSU/ha | 2023 | up 8.6% | volatile |
| 11 | Jordan | 0.36 LSU/ha | 2023 | up 20.0% | rising |
| 12 | Bangladesh | 0.33 LSU/ha | 2023 | up 6.5% | rising |
| 12 | Pakistan | 0.33 LSU/ha | 2023 | up 26.9% | rising |
| 14 | Saint Vincent and the Grenadines | 0.27 LSU/ha | 2023 | up 12.5% | rising |
| 15 | Palestine, State of | 0.26 LSU/ha | 2023 | up 13.0% | rising |
| 16 | Malta | 0.25 LSU/ha | 2023 | up 66.7% | rising |
| 16 | New Zealand | 0.25 LSU/ha | 2023 | down 10.7% | falling |
| 18 | Ethiopia | 0.24 LSU/ha | 2023 | up 60.0% | rising |
| 18 | Saint Lucia | 0.24 LSU/ha | 2023 | up 9.1% | rising |
| 20 | Norway | 0.23 LSU/ha | 2023 | down 4.2% | rising |
| 21 | Oman | 0.22 LSU/ha | 2023 | up 15.8% | volatile |
| 22 | Burundi | 0.21 LSU/ha | 2023 | up 10.5% | volatile |
| 22 | Malawi | 0.21 LSU/ha | 2023 | up 110.0% | volatile |
| 22 | Togo | 0.21 LSU/ha | 2023 | up 61.5% | volatile |
| 25 | Greece | 0.2 LSU/ha | 2023 | up 5.3% | rising |
| 25 | Kenya | 0.2 LSU/ha | 2023 | up 33.3% | volatile |
| 25 | Nigeria | 0.2 LSU/ha | 2023 | up 17.6% | volatile |
| 28 | Barbados | 0.19 LSU/ha | 2023 | up 26.7% | volatile |
| 28 | Chad | 0.19 LSU/ha | 2023 | up 90.0% | volatile |
| 28 | United Kingdom of Great Britain and Northern Ireland | 0.19 LSU/ha | 2023 | unchanged | rising |
| 31 | Albania | 0.18 LSU/ha | 2023 | down 21.7% | rising |
| 32 | Bahamas | 0.17 LSU/ha | 2023 | unchanged | falling |
| 33 | Uganda | 0.16 LSU/ha | 2023 | up 33.3% | volatile |
| 34 | Azerbaijan | 0.15 LSU/ha | 2023 | down 16.7% | rising |
| 34 | Burkina Faso | 0.15 LSU/ha | 2023 | down 11.8% | rising |
| 34 | Guinea-Bissau | 0.15 LSU/ha | 2023 | down 6.2% | rising |
| 34 | Senegal | 0.15 LSU/ha | 2023 | up 15.4% | volatile |
| 34 | Tajikistan | 0.15 LSU/ha | 2023 | up 15.4% | rising |
| 39 | Jamaica | 0.14 LSU/ha | 2023 | up 16.7% | rising |
| 39 | Lebanon | 0.14 LSU/ha | 2023 | down 6.7% | rising |
| 39 | Cook Islands | 0.14 LSU/ha | 2023 | down 41.7% | volatile |
| 42 | Benin | 0.13 LSU/ha | 2023 | up 116.7% | rising |
| 42 | India | 0.13 LSU/ha | 2023 | up 8.3% | rising |
| 42 | Mali | 0.13 LSU/ha | 2023 | up 62.5% | volatile |
| 45 | Central African Republic | 0.12 LSU/ha | 2023 | down 7.7% | volatile |
| 45 | Ghana | 0.12 LSU/ha | 2023 | up 50.0% | volatile |
| 45 | Haiti | 0.12 LSU/ha | 2023 | up 20.0% | rising |
| 48 | Comoros | 0.11 LSU/ha | 2023 | unchanged | rising |
| 48 | Israel | 0.11 LSU/ha | 2023 | down 8.3% | rising |
| 48 | Singapore | 0.11 LSU/ha | 2023 | up 10.0% | volatile |
| 48 | South Sudan | 0.11 LSU/ha | 2023 | up 10.0% | rising |
| 52 | Cameroon | 0.1 LSU/ha | 2023 | up 11.1% | rising |
| 52 | Fiji | 0.1 LSU/ha | 2023 | up 11.1% | rising |
| 52 | Rwanda | 0.1 LSU/ha | 2023 | down 44.4% | volatile |
| 55 | Bosnia and Herzegovina | 0.09 LSU/ha | 2023 | up 80.0% | rising |
| 55 | Algeria | 0.09 LSU/ha | 2023 | up 12.5% | rising |
| 55 | Gambia | 0.09 LSU/ha | 2023 | up 50.0% | rising |
| 55 | Ireland | 0.09 LSU/ha | 2023 | down 18.2% | rising |
| 55 | Iraq | 0.09 LSU/ha | 2023 | unchanged | falling |
| 55 | Lesotho | 0.09 LSU/ha | 2023 | down 10.0% | flat |
| 55 | Morocco | 0.09 LSU/ha | 2023 | up 12.5% | flat |
| 55 | Romania | 0.09 LSU/ha | 2023 | up 28.6% | falling |
| 55 | Uzbekistan | 0.09 LSU/ha | 2023 | up 28.6% | rising |
| 55 | Yemen | 0.09 LSU/ha | 2023 | up 12.5% | volatile |
| 65 | Faroe Islands | 0.08 LSU/ha | 2023 | up 14.3% | rising |
| 65 | Tunisia | 0.08 LSU/ha | 2023 | unchanged | rising |
| 65 | Guadeloupe | 0.08 LSU/ha | 2006 | down 11.1% | rising |
| 65 | Martinique | 0.08 LSU/ha | 2006 | down 57.9% | falling |
| 65 | Réunion | 0.08 LSU/ha | 2006 | up 33.3% | rising |
| 70 | Dominica | 0.07 LSU/ha | 2023 | unchanged | rising |
| 70 | Egypt | 0.07 LSU/ha | 2023 | down 73.1% | rising |
| 70 | Libya | 0.07 LSU/ha | 2023 | up 16.7% | rising |
| 70 | Montenegro | 0.07 LSU/ha | 2023 | down 36.4% | rising |
| 70 | Niger | 0.07 LSU/ha | 2023 | up 40.0% | rising |
| 70 | Netherlands (Kingdom of the) | 0.07 LSU/ha | 2023 | down 12.5% | rising |
| 70 | Ethiopia PDR | 0.07 LSU/ha | 1992 | unchanged | flat |
| 77 | China | 0.06 LSU/ha | 2023 | unchanged | rising |
| 77 | Djibouti | 0.06 LSU/ha | 2023 | unchanged | rising |
| 77 | Eritrea | 0.06 LSU/ha | 2023 | up 20.0% | rising |
| 77 | Spain | 0.06 LSU/ha | 2023 | down 14.3% | rising |
| 77 | Indonesia | 0.06 LSU/ha | 2023 | down 14.3% | rising |
| 77 | Italy | 0.06 LSU/ha | 2023 | unchanged | rising |
| 77 | Kyrgyzstan | 0.06 LSU/ha | 2023 | up 20.0% | rising |
| 77 | Portugal | 0.06 LSU/ha | 2023 | down 14.3% | falling |
| 77 | French Polynesia | 0.06 LSU/ha | 2023 | up 20.0% | rising |
| 77 | Sudan | 0.06 LSU/ha | 2023 | unchanged | flat |
| 77 | Trinidad and Tobago | 0.06 LSU/ha | 2023 | down 14.3% | rising |
| 77 | Sudan (former) | 0.06 LSU/ha | 2011 | down 14.3% | volatile |
| 77 | China, mainland | 0.06 LSU/ha | 2023 | unchanged | rising |
| 77 | Brunei Darussalam | 0.06 LSU/ha | 2023 | down 25.0% | volatile |
| 91 | Afghanistan | 0.05 LSU/ha | 2023 | unchanged | falling |
| 91 | Guinea | 0.05 LSU/ha | 2023 | up 66.7% | volatile |
| 91 | Equatorial Guinea | 0.05 LSU/ha | 2023 | unchanged | rising |
| 91 | North Macedonia | 0.05 LSU/ha | 2023 | down 16.7% | falling |
| 91 | Mongolia | 0.05 LSU/ha | 2023 | up 66.7% | volatile |
| 91 | Mauritania | 0.05 LSU/ha | 2023 | up 25.0% | rising |
| 91 | Peru | 0.05 LSU/ha | 2023 | down 16.7% | falling |
| 91 | Sierra Leone | 0.05 LSU/ha | 2023 | up 25.0% | volatile |
| 91 | Somalia | 0.05 LSU/ha | 2023 | unchanged | flat |
| 91 | Serbia | 0.05 LSU/ha | 2023 | unchanged | rising |
| 91 | Turkmenistan | 0.05 LSU/ha | 2023 | unchanged | rising |
| 91 | Yugoslav SFR | 0.05 LSU/ha | 1991 | unchanged | falling |
| 103 | Armenia | 0.04 LSU/ha | 2023 | unchanged | falling |
| 103 | Georgia | 0.04 LSU/ha | 2023 | up 33.3% | rising |
| 103 | Croatia | 0.04 LSU/ha | 2023 | unchanged | rising |
| 103 | Eswatini | 0.04 LSU/ha | 2023 | unchanged | rising |
| 103 | Tonga | 0.04 LSU/ha | 2023 | unchanged | rising |
| 103 | Uruguay | 0.04 LSU/ha | 2023 | down 33.3% | falling |
| 103 | Zimbabwe | 0.04 LSU/ha | 2023 | up 33.3% | rising |
| 103 | Serbia and Montenegro | 0.04 LSU/ha | 2005 | down 20.0% | falling |
| 111 | Switzerland | 0.03 LSU/ha | 2023 | unchanged | rising |
| 111 | Cuba | 0.03 LSU/ha | 2023 | down 25.0% | volatile |
| 111 | France | 0.03 LSU/ha | 2023 | unchanged | falling |
| 111 | Guyana | 0.03 LSU/ha | 2023 | unchanged | rising |
| 111 | Liberia | 0.03 LSU/ha | 2023 | down 25.0% | rising |
| 111 | Mauritius | 0.03 LSU/ha | 2023 | unchanged | falling |
| 111 | Philippines | 0.03 LSU/ha | 2023 | unchanged | rising |
| 111 | South Africa | 0.03 LSU/ha | 2023 | unchanged | falling |
| 111 | USSR | 0.03 LSU/ha | 1991 | unchanged | rising |
| 111 | Australia and New Zealand | 0.03 LSU/ha | 2023 | unchanged | falling |
| 121 | Australia | 0.02 LSU/ha | 2023 | unchanged | falling |
| 121 | Austria | 0.02 LSU/ha | 2023 | unchanged | rising |
| 121 | Bulgaria | 0.02 LSU/ha | 2023 | down 33.3% | volatile |
| 121 | Dominican Republic | 0.02 LSU/ha | 2023 | unchanged | rising |
| 121 | Gabon | 0.02 LSU/ha | 2023 | up 100.0% | rising |
| 121 | Guatemala | 0.02 LSU/ha | 2023 | unchanged | falling |
| 121 | Hungary | 0.02 LSU/ha | 2023 | unchanged | falling |
| 121 | Iceland | 0.02 LSU/ha | 2023 | unchanged | falling |
| 121 | Mexico | 0.02 LSU/ha | 2023 | unchanged | falling |
| 121 | Myanmar | 0.02 LSU/ha | 2023 | down 60.0% | volatile |
| 121 | Sao Tome and Principe | 0.02 LSU/ha | 2023 | down 33.3% | rising |
| 121 | Slovakia | 0.02 LSU/ha | 2023 | unchanged | flat |
| 121 | Slovenia | 0.02 LSU/ha | 2023 | unchanged | rising |
| 121 | Zambia | 0.02 LSU/ha | 2023 | up 100.0% | volatile |
| 121 | OECD | 0.02 LSU/ha | 2023 | unchanged | falling |
| 121 | China, Hong Kong SAR | 0.02 LSU/ha | 2023 | up 100.0% | volatile |
| 121 | Republic of Korea | 0.02 LSU/ha | 2023 | up 100.0% | rising |
| 138 | Angola | 0.01 LSU/ha | 2023 | unchanged | volatile |
| 138 | Argentina | 0.01 LSU/ha | 2023 | down 50.0% | falling |
| 138 | Belgium | 0.01 LSU/ha | 2022 | unchanged | flat |
| 138 | Belize | 0.01 LSU/ha | 2023 | unchanged | volatile |
| 138 | Brazil | 0.01 LSU/ha | 2023 | unchanged | flat |
| 138 | Bhutan | 0.01 LSU/ha | 2023 | unchanged | flat |
| 138 | Botswana | 0.01 LSU/ha | 2023 | unchanged | volatile |
| 138 | Chile | 0.01 LSU/ha | 2023 | down 66.7% | falling |
| 138 | Colombia | 0.01 LSU/ha | 2023 | — | falling |
| 138 | Czechia | 0.01 LSU/ha | 2023 | unchanged | volatile |
| 138 | Germany | 0.01 LSU/ha | 2023 | unchanged | falling |
| 138 | Denmark | 0.01 LSU/ha | 2023 | unchanged | volatile |
| 138 | Ecuador | 0.01 LSU/ha | 2023 | unchanged | falling |
| 138 | Estonia | 0.01 LSU/ha | 2023 | unchanged | volatile |
| 138 | Finland | 0.01 LSU/ha | 2023 | unchanged | volatile |
| 138 | Kazakhstan | 0.01 LSU/ha | 2023 | unchanged | volatile |
| 138 | Sri Lanka | 0.01 LSU/ha | 2023 | unchanged | falling |
| 138 | Luxembourg | 0.01 LSU/ha | 2022 | unchanged | flat |
| 138 | Madagascar | 0.01 LSU/ha | 2023 | unchanged | volatile |
| 138 | Mozambique | 0.01 LSU/ha | 2023 | unchanged | volatile |
| 138 | Malaysia | 0.01 LSU/ha | 2023 | unchanged | flat |
| 138 | Namibia | 0.01 LSU/ha | 2023 | unchanged | falling |
| 138 | Puerto Rico | 0.01 LSU/ha | 2023 | unchanged | volatile |
| 138 | Saudi Arabia | 0.01 LSU/ha | 2023 | unchanged | volatile |
| 138 | Suriname | 0.01 LSU/ha | 2023 | unchanged | falling |
| 138 | Sweden | 0.01 LSU/ha | 2023 | down 50.0% | rising |
| 138 | French Guiana | 0.01 LSU/ha | 2006 | down 50.0% | falling |
| 138 | Czechoslovakia | 0.01 LSU/ha | 1992 | unchanged | falling |
| 138 | Russian Federation | 0.01 LSU/ha | 2023 | unchanged | falling |
| 138 | Belgium-Luxembourg | 0.01 LSU/ha | 1999 | unchanged | rising |
| 138 | China, Taiwan Province of | 0.01 LSU/ha | 2023 | down 50.0% | rising |
| 169 | Japan | 0 LSU/ha | 2023 | — | volatile |
| 169 | Lithuania | 0 LSU/ha | 2023 | — | volatile |
| 169 | Latvia | 0 LSU/ha | 2023 | down 100.0% | volatile |
| 169 | New Caledonia | 0 LSU/ha | 2023 | — | volatile |
| 169 | Poland | 0 LSU/ha | 2023 | — | volatile |
| 169 | Tuvalu | 0 LSU/ha | 1992 | — | volatile |
| 169 | Ukraine | 0 LSU/ha | 2023 | — | volatile |
| 169 | Vanuatu | 0 LSU/ha | 2023 | down 100.0% | falling |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Cabo Verde 0.21 LSU/ha
- Democratic People's Republic of Korea 0.16 LSU/ha
- Iran (Islamic Republic of) 0.15 LSU/ha
- Syrian Arab Republic 0.15 LSU/ha
- Southern Asia 0.15 LSU/ha
- Western Africa 0.11 LSU/ha
- Türkiye 0.14 LSU/ha
- Northern Europe 0.1 LSU/ha
- Micronesia (Federated States of) 0.1 LSU/ha
- Eastern Africa 0.09 LSU/ha
- Low Income Food Deficit Countries (LIFDCs) 0.09 LSU/ha
- United Republic of Tanzania 0.09 LSU/ha
- Africa 0.08 LSU/ha
- Sub-Saharan Africa 0.08 LSU/ha
- Least Developed Countries (LDCs) 0.08 LSU/ha
- Southern Europe 0.08 LSU/ha
- Middle Africa 0.08 LSU/ha
- Net Food Importing Developing Countries (NFIDCs) 0.08 LSU/ha
- Asia 0.07 LSU/ha
- Timor-Leste 0.06 LSU/ha
- Northern Africa 0.07 LSU/ha
- Land Locked Developing Countries (LLDCs) 0.07 LSU/ha
- Small island developing States (SIDS) 0.05 LSU/ha
- Polynesia 0.03 LSU/ha
- Bolivia (Plurinational State of) 0.03 LSU/ha
- Viet Nam 0.03 LSU/ha
- Lao People's Democratic Republic 0.03 LSU/ha
- Eastern Asia 0.06 LSU/ha
- Western Asia 0.06 LSU/ha
- World 0.05 LSU/ha
- Caribbean 0.05 LSU/ha
- Melanesia 0.02 LSU/ha
- Republic of Moldova 0.02 LSU/ha
- European Union (27) 0.04 LSU/ha
- South-Eastern Asia 0.04 LSU/ha
- Micronesia 0.01 LSU/ha
- Democratic Republic of the Congo 0.01 LSU/ha
- Venezuela (Bolivarian Republic of) 0.01 LSU/ha
- Europe 0.03 LSU/ha
- Oceania 0.03 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.