Saint Kitts and Nevis vs Sub-Saharan Africa: Sheep and Goats — Livestock units per agricultural land area

Saint Kitts and Nevis
0.38 LSU/ha
in 2023
Sub-Saharan Africa
0.08 LSU/ha
in 2023
Saint Kitts and Nevis rank
9th
Sub-Saharan Africa rank
7th

Sheep and Goats — Livestock units per agricultural land area over time

  • Saint Kitts and Nevis
  • Sub-Saharan Africa
00.20.40.6196119922023

How they compare

Saint Kitts and Nevis currently reports 0.38 LSU/ha against 0.08 LSU/ha in Sub-Saharan Africa, a difference of 0.3 LSU/ha.

That makes Saint Kitts and Nevis's figure about 4.8 times Sub-Saharan Africa's.

Across all 63 years both countries report, Saint Kitts and Nevis has been ahead every year.

Saint Kitts and Nevis ranks 9th and Sub-Saharan Africa ranks 7th of 187 countries.

Saint Kitts and Nevis has averaged higher in every one of the 7 decades both report.

Head to head by decade

Decade Saint Kitts and Nevis Sub-Saharan Africa Difference Ahead
1960s 0.1211 LSU/ha 0.0222 LSU/ha 0.0989 LSU/ha Saint Kitts and Nevis
1970s 0.157 LSU/ha 0.028 LSU/ha 0.129 LSU/ha Saint Kitts and Nevis
1980s 0.182 LSU/ha 0.031 LSU/ha 0.151 LSU/ha Saint Kitts and Nevis
1990s 0.24 LSU/ha 0.036 LSU/ha 0.204 LSU/ha Saint Kitts and Nevis
2000s 0.336 LSU/ha 0.046 LSU/ha 0.29 LSU/ha Saint Kitts and Nevis
2010s 0.2 LSU/ha 0.066 LSU/ha 0.134 LSU/ha Saint Kitts and Nevis
2020s 0.3175 LSU/ha 0.08 LSU/ha 0.2375 LSU/ha Saint Kitts and Nevis

Averages of every year both report within each decade.

Frequently asked questions

Which has higher sheep and goats — livestock units per agricultural land area, Saint Kitts and Nevis or Sub-Saharan Africa?
Saint Kitts and Nevis, at 0.38 LSU/ha against 0.08 LSU/ha in Sub-Saharan Africa as of 2023.
What is the difference in sheep and goats — livestock units per agricultural land area between Saint Kitts and Nevis and Sub-Saharan Africa?
0.3 LSU/ha, with Saint Kitts and Nevis ahead.
How many years of comparable data are there for Saint Kitts and Nevis and Sub-Saharan Africa?
63 years are reported by both, from 1961 to 2023.
How do Saint Kitts and Nevis and Sub-Saharan Africa rank globally for sheep and goats — livestock units per agricultural land area?
Saint Kitts and Nevis ranks 9th and Sub-Saharan Africa ranks 7th of 187 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Sheep and Goats — Livestock units per agricultural land area. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Saint Kitts and Nevis vs Sub-Saharan Africa: Sheep and Goats — Livestock units per agricultural land area. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 14 September 2026, from https://environment.statizoid.com/compare/sheep-and-goats-livestock-units-per-agricultural-land-area/st-kitts-and-nevis/sub-saharan-africa/

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About this data

Indicator
Sheep and Goats — Livestock units per agricultural land area
Unit
LSU/ha
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
238 places, 13,567 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.