Value Added (Agriculture, Forestry and Fishing) β€” Value US$ in Oceania

Oceania: Value Added (Agriculture, Forestry and Fishing) β€” Value US$ was 57,283 million USD in 2024. β—† Volatile

Latest (2024)
57,283 million USD
Change on year
down 5.8%
Rank
26th
of 32 groups
All-time high
68,592 million USD
in 2021
All-time low
3,793 million USD
in 1970
Years of data
55
1970–2024

Value Added (Agriculture, Forestry and Fishing) β€” Value US$ in Oceania, 1970–2024

020.0k40.0k60.0k197019972024

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

Analysis

Oceania recorded 57,283 million USD for value added (agriculture, forestry and fishing) β€” value us$ in 2024.

The figure is down 5.8% on the previous year and up 14.0% over ten years.

Over the whole period, value added (agriculture, forestry and fishing) β€” value us$ in Oceania peaked at 68,592 million USD in 2021 and was at its lowest, 3,793 million USD, in 1970.

Oceania ranks 26th of 32 groups on this measure, in the bottom quarter.

The series is highly variable year to year, so single readings are best treated with caution.

Averages by decade

DecadeAverage LowestHighest Years
1970s 8,044 million USD 3,793 million USD 13,638 million USD 10
1980s 13,503 million USD 10,275 million USD 18,054 million USD 10
1990s 17,596 million USD 14,640 million USD 21,234 million USD 10
2000s 26,974 million USD 18,174 million USD 34,668 million USD 10
2010s 49,255 million USD 43,335 million USD 53,532 million USD 10
2020s 60,638 million USD 51,792 million USD 68,592 million USD 5

Countries ranked near Oceania

  1. 23 Germany 38,505 million USD compare
  2. 24 Nigeria 38,188 million USD compare
  3. 25 Colombia 38,181 million USD compare
  4. 26 Argentina 37,880 million USD compare
  5. 27 Algeria 35,846 million USD compare
  6. 28 Australia 35,101 million USD compare
  7. 29 Malaysia 34,257 million USD compare

See the full ranking of 249 places β†’

More environment data for Oceania

All data for Oceania β†’

Frequently asked questions

What is value added (agriculture, forestry and fishing) β€” value us$ in Oceania?
Value added (agriculture, forestry and fishing) β€” value us$ in Oceania was 57,283 million USD in 2024, according to Food and Agriculture Organization of the United Nations.
What is the highest value added (agriculture, forestry and fishing) β€” value us$ recorded in Oceania?
The highest recorded value was 68,592 million USD in 2021.
What is the lowest value added (agriculture, forestry and fishing) β€” value us$ recorded in Oceania?
The lowest recorded value was 3,793 million USD in 1970.
How does Oceania rank for value added (agriculture, forestry and fishing) β€” value us$?
Oceania ranks 26th out of 32 groups with data for 2024.
Is value added (agriculture, forestry and fishing) β€” value us$ rising or falling in Oceania?
Over the last ten years it is up 14.0%. The long-run trend across the full record is volatile.
Where does this Oceania 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) β€” Value US$. Statizoid updates them automatically from the source API.

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Value Added (Agriculture, Forestry and Fishing) β€” Value US$ in Oceania. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 16 August 2026, from https://environment.statizoid.com/stat/value-added-agriculture-forestry-and-fishing-value-us/oceania/

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About this data

Indicator
Value Added (Agriculture, Forestry and Fishing) β€” Value US$
Unit
million USD
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
249 places, 12,769 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).