Net Food Importing Developing Countries (NFIDCs) vs Tonga: Swine / pigs — Livestock units per agricultural land area

Net Food Importing Developing Countries (NFIDCs)
0.01 LSU/ha
in 2023
Tonga
0.48 LSU/ha
in 2023
Net Food Importing Developing Countries (NFIDCs) rank
18th
Tonga rank
16th

Swine / pigs — Livestock units per agricultural land area over time

  • Net Food Importing Developing Countries (NFIDCs)
  • Tonga
00.20.40.60.8196119922023

How they compare

Tonga currently reports 0.48 LSU/ha against 0.01 LSU/ha in Net Food Importing Developing Countries (NFIDCs), a difference of 0.47 LSU/ha.

That makes Tonga's figure about 48.0 times Net Food Importing Developing Countries (NFIDCs)'s.

Across all 63 years both countries report, Tonga has been ahead every year.

Net Food Importing Developing Countries (NFIDCs) ranks 18th and Tonga ranks 16th of 31 groups.

Tonga has averaged higher in every one of the 7 decades both report.

Head to head by decade

Decade Net Food Importing Developing Countries (NFIDCs) Tonga Difference Ahead
1960s 0 LSU/ha 0.1911 LSU/ha 0.1911 LSU/ha Tonga
1970s 0 LSU/ha 0.352 LSU/ha 0.352 LSU/ha Tonga
1980s 0.003 LSU/ha 0.581 LSU/ha 0.578 LSU/ha Tonga
1990s 0.01 LSU/ha 0.545 LSU/ha 0.535 LSU/ha Tonga
2000s 0.01 LSU/ha 0.531 LSU/ha 0.521 LSU/ha Tonga
2010s 0.01 LSU/ha 0.491 LSU/ha 0.481 LSU/ha Tonga
2020s 0.01 LSU/ha 0.48 LSU/ha 0.47 LSU/ha Tonga

Averages of every year both report within each decade.

Frequently asked questions

Which has higher swine / pigs — livestock units per agricultural land area, Net Food Importing Developing Countries (NFIDCs) or Tonga?
Tonga, at 0.48 LSU/ha against 0.01 LSU/ha in Net Food Importing Developing Countries (NFIDCs) as of 2023.
What is the difference in swine / pigs — livestock units per agricultural land area between Net Food Importing Developing Countries (NFIDCs) and Tonga?
0.47 LSU/ha, with Tonga ahead.
How many years of comparable data are there for Net Food Importing Developing Countries (NFIDCs) and Tonga?
63 years are reported by both, from 1961 to 2023.
How do Net Food Importing Developing Countries (NFIDCs) and Tonga rank globally for swine / pigs — livestock units per agricultural land area?
Net Food Importing Developing Countries (NFIDCs) ranks 18th and Tonga ranks 16th of 31 groups.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Swine / pigs — 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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Net Food Importing Developing Countries (NFIDCs) vs Tonga: Swine / pigs — Livestock units per agricultural land area. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 02 September 2026, from https://environment.statizoid.com/compare/swine-pigs-livestock-units-per-agricultural-land-area/net-food-importing-developing-countries-nfidcs/tonga/

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About this data

Indicator
Swine / pigs — 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
223 places, 12,804 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.