Brunei Darussalam vs Fiji, Republic of: Major livestock types β€” Stocks

Brunei Darussalam
213,239 LSU
in 2023
Fiji, Republic of
206,348 LSU
in 2023
Brunei Darussalam rank
149th
Fiji, Republic of rank
150th

Major livestock types β€” Stocks over time

  • Brunei Darussalam
  • Fiji, Republic of
0100.0k200.0k300.0k196119922023

How they compare

Brunei Darussalam currently reports 213,239 LSU against 206,348 LSU in Fiji, Republic of, a difference of 6,891 LSU.

The two have swapped places 5 times across 63 shared years of data; in 1961 it was Fiji, Republic of ahead.

Brunei Darussalam ranks 149th and Fiji, Republic of ranks 150th of 192 countries.

Across the 7 decades both report, Brunei Darussalam averaged higher in 1 and Fiji, Republic of in 6.

Head to head by decade

Decade Brunei Darussalam Fiji, Republic of Difference Ahead
1960s 15,769 LSU 111,542 LSU 95,773 LSU Fiji, Republic of
1970s 19,971 LSU 153,921 LSU 133,950 LSU Fiji, Republic of
1980s 31,554 LSU 224,348 LSU 192,794 LSU Fiji, Republic of
1990s 45,528 LSU 297,066 LSU 251,538 LSU Fiji, Republic of
2000s 127,010 LSU 310,974 LSU 183,964 LSU Fiji, Republic of
2010s 173,228 LSU 231,479 LSU 58,251 LSU Fiji, Republic of
2020s 211,370 LSU 194,213 LSU 17,157 LSU Brunei Darussalam

Averages of every year both report within each decade.

Frequently asked questions

Which has higher major livestock types β€” stocks, Brunei Darussalam or Fiji, Republic of?
Brunei Darussalam, at 213,239 LSU against 206,348 LSU in Fiji, Republic of as of 2023.
What is the difference in major livestock types β€” stocks between Brunei Darussalam and Fiji, Republic of?
6,891 LSU, with Brunei Darussalam ahead.
How many years of comparable data are there for Brunei Darussalam and Fiji, Republic of?
63 years are reported by both, from 1961 to 2023.
How do Brunei Darussalam and Fiji, Republic of rank globally for major livestock types β€” stocks?
Brunei Darussalam ranks 149th and Fiji, Republic of ranks 150th of 192 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Major livestock types β€” Stocks. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

Share, cite or embed this page

Cite this page

Brunei Darussalam vs Fiji, Republic of: Major livestock types β€” Stocks. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 18 August 2026, from https://environment.statizoid.com/compare/major-livestock-types-stocks/brunei-darussalam-2/fiji/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under CC BY-NC-SA 3.0 IGO (FAO); please keep the attribution.

<a href="https://environment.statizoid.com/compare/major-livestock-types-stocks/brunei-darussalam-2/fiji/">Brunei Darussalam vs Fiji, Republic of: Major livestock types β€” Stocks</a> β€” Statizoid

About this data

Indicator
Major livestock types β€” Stocks
Unit
LSU
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
246 places, 14,138 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.