Value Added (Agriculture, Forestry and Fishing) — Value Standard in Fiji

Fiji: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 952.74 million SLC in 2024. ▲ Rising

Latest (2024)
952.74 million SLC
Change on year
up 1.8%
World rank
144th
of 191 countries
All-time high
952.74 million SLC
in 2024
All-time low
441.12 million SLC
in 1971
Years of data
55
1970–2024

Value Added (Agriculture, Forestry and Fishing) — Value Standard in Fiji, 1970–2024

02004006008001.0k197019972024

Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.

Analysis

The most recent figure for value added (agriculture, forestry and fishing) — value standard in Fiji is 952.74 million SLC, measured in 2024. That is the highest value across all 55 years on record.

Compared with earlier readings it is up 1.8% on the previous year and up 26.8% over ten years.

Over the whole period, value added (agriculture, forestry and fishing) — value standard in Fiji peaked at 952.74 million SLC in 2024 and was at its lowest, 441.12 million SLC, in 1971.

Fiji ranks 144th of 191 countries on this measure, in the bottom quarter.

The long-run direction has been consistently rising across the 55 years of available data.

Value Added (Agriculture, Forestry and Fishing) — Value Standard in Fiji, year by year

Annual values for Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices in Fiji, 1970 to 2024.
Year million SLC Change
1970 464.34 million SLC
1971 441.12 million SLC -5.0%
1972 441.12 million SLC +0.0%
1973 464.34 million SLC +5.3%
1974 464.34 million SLC +0.0%
1975 464.34 million SLC +0.0%
1976 475.94 million SLC +2.5%
1977 510.77 million SLC +7.3%
1978 522.38 million SLC +2.3%
1979 611.88 million SLC +17.1%
1980 572.18 million SLC -6.5%
1981 643.24 million SLC +12.4%
1982 654.46 million SLC +1.7%
1983 538.52 million SLC -17.7%
1984 676.89 million SLC +25.7%
1985 583.4 million SLC -13.8%
1986 695.59 million SLC +19.2%
1987 650.72 million SLC -6.5%
1988 635.76 million SLC -2.3%
1989 710.55 million SLC +11.8%
1990 680.63 million SLC -4.2%
1991 669.42 million SLC -1.6%
1992 691.85 million SLC +3.4%
1993 695.59 million SLC +0.5%
1994 771.78 million SLC +11.0%
1995 744.88 million SLC -3.5%
1996 751.09 million SLC +0.8%
1997 673.06 million SLC -10.4%
1998 621.54 million SLC -7.7%
1999 706.2 million SLC +13.6%
2000 697.24 million SLC -1.3%
2001 657.77 million SLC -5.7%
2002 689.52 million SLC +4.8%
2003 660.79 million SLC -4.2%
2004 691.04 million SLC +4.6%
2005 696.93 million SLC +0.9%
2006 731.26 million SLC +4.9%
2007 695.78 million SLC -4.9%
2008 730.12 million SLC +4.9%
2009 670.59 million SLC -8.2%
2010 652.37 million SLC -2.7%
2011 705.82 million SLC +8.2%
2012 691.14 million SLC -2.1%
2013 737.44 million SLC +6.7%
2014 751.21 million SLC +1.9%
2015 773.16 million SLC +2.9%
2016 688.83 million SLC -10.9%
2017 763.12 million SLC +10.8%
2018 791.23 million SLC +3.7%
2019 827.01 million SLC +4.5%
2020 852.8 million SLC +3.1%
2021 859.56 million SLC +0.8%
2022 893.78 million SLC +4.0%
2023 935.46 million SLC +4.7%
2024 952.74 million SLC +1.8%

Averages by decade

DecadeAverage LowestHighest Years
1970s 486.06 million SLC 441.12 million SLC 611.88 million SLC 10
1980s 636.13 million SLC 538.52 million SLC 710.55 million SLC 10
1990s 700.61 million SLC 621.54 million SLC 771.78 million SLC 10
2000s 692.1 million SLC 657.77 million SLC 731.26 million SLC 10
2010s 738.13 million SLC 652.37 million SLC 827.01 million SLC 10
2020s 898.87 million SLC 852.8 million SLC 952.74 million SLC 5

Countries ranked near Fiji

  1. 141 Lithuania 1,317 million SLC compare
  2. 142 China, Hong Kong SAR 1,108 million SLC compare
  3. 143 Oman 958.97 million SLC compare
  4. 145 Suriname 946.08 million SLC compare
  5. 146 Latvia 785.31 million SLC compare
  6. 147 Sao Tome and Principe 771.77 million SLC compare

See the full ranking of 207 places →

More environment data for Fiji

All data for Fiji →

Frequently asked questions

What is value added (agriculture, forestry and fishing) — value standard in Fiji?
Value added (agriculture, forestry and fishing) — value standard in Fiji was 952.74 million SLC in 2024, according to Food and Agriculture Organization of the United Nations.
What is the highest value added (agriculture, forestry and fishing) — value standard recorded in Fiji?
The highest recorded value was 952.74 million SLC in 2024.
What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Fiji?
The lowest recorded value was 441.12 million SLC in 1971.
How does Fiji rank for value added (agriculture, forestry and fishing) — value standard?
Fiji ranks 144th out of 191 countries with data for 2024.
Is value added (agriculture, forestry and fishing) — value standard rising or falling in Fiji?
Over the last ten years it is up 26.8%. The long-run trend across the full record is rising.
Where does this Fiji data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices. Statizoid updates them automatically from the source API.

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Value Added (Agriculture, Forestry and Fishing) — Value Standard in Fiji. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 03 September 2026, from https://environment.statizoid.com/stat/value-added-agriculture-forestry-and-fishing-value-standard-local-currency-2015-prices/fiji/

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About this data

Indicator
Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices
Unit
million SLC
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
207 places, 10,719 data points, 1970–2024
Last refreshed

The FAOSTAT Macro Indicators database provides a selection of country-level macro indicators relating to total economy (Gross Domestic Product, Gross Fixed Capital Formation); agriculture activity; agriculture, forestry and fishing activity; total manufacturing activity; manufacturing of food products and beverages activity; manufacturing activity of tobacco products; and manufacturing activity of food, beverage and tobacco products.It releases time series for a selection of National Accounts variables, including gross domestic product, gross fixed capital formation, industry-level value added and gross output. The database also proposes additional indicators such as gross domestic product per capita, year-on-year growth rates and measures of industry contribution to gross domestic product. All data relating to Gross Domestic Product, Gross Fixed Capital Formation, agriculture, forestry and fishing activity, and to total manufacturing activity originates from the United Nations Statistics Division (UNSD) National Accounts Estimates of Main Aggregates database, which consists of a complete and consistent set of time series of the main National Accounts aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official National Accounts data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information (See http://unstats.un.org/unsd/snaama/Introduction.asp). Data series relating to the sub-industry Agriculture activity are obtained from the UNSD national accounts Official Country Data databases while series on the Manufacturing activity of food and beverages products, manufacturing activity of tobacco products and manufacturing activity of food, beverages and tobacco products originates from the United Nations Industrial Development Organization (UNIDO) INDSTAT2 database. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), UNIDO originating series are rescaled on UNSD National Accounts Estimates of Main Aggregates data series (See Section 17.5 for a more detailed description of the data processing steps).