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

Palau: Value Added (Agriculture, Forestry and Fishing) β€” Value US$ was 8.32 million USD in 2024. β—† Volatile

Latest (2024)
8.32 million USD
Change on year
down 1.2%
World rank
209th
of 217 countries
All-time high
27.35 million USD
in 1992
All-time low
1.86 million USD
in 1970
Years of data
55
1970–2024

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

0102030197019972024

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

Analysis

In 2024, value added (agriculture, forestry and fishing) β€” value us$ in Palau stood at 8.32 million USD.

Compared with earlier readings it is down 1.2% on the previous year and down 7.2% over ten years.

Over the whole period, value added (agriculture, forestry and fishing) β€” value us$ in Palau peaked at 27.35 million USD in 1992 and was at its lowest, 1.86 million USD, in 1970.

That places Palau 209th out of 217 countries with data for 2024, putting it 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 2.94 million USD 1.86 million USD 4.31 million USD 10
1980s 8.97 million USD 4.73 million USD 17.08 million USD 10
1990s 13.46 million USD 5.8 million USD 27.35 million USD 10
2000s 7.25 million USD 6.77 million USD 7.95 million USD 10
2010s 9.13 million USD 8.04 million USD 10.08 million USD 10
2020s 8.31 million USD 8.07 million USD 8.57 million USD 5

Countries ranked near Palau

  1. 206 Saint Kitts and Nevis 13 million USD compare
  2. 207 Cook Islands 9.19 million USD compare
  3. 208 CuraΓ§ao 8.53 million USD compare
  4. 210 Tuvalu 6.02 million USD compare
  5. 211 Turks and Caicos Islands 5.82 million USD compare
  6. 212 Anguilla 5.2 million USD compare

See the full ranking of 249 places β†’

More environment data for Palau

All data for Palau β†’

Frequently asked questions

What is value added (agriculture, forestry and fishing) β€” value us$ in Palau?
Value added (agriculture, forestry and fishing) β€” value us$ in Palau was 8.32 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 Palau?
The highest recorded value was 27.35 million USD in 1992.
What is the lowest value added (agriculture, forestry and fishing) β€” value us$ recorded in Palau?
The lowest recorded value was 1.86 million USD in 1970.
How does Palau rank for value added (agriculture, forestry and fishing) β€” value us$?
Palau ranks 209th out of 217 countries with data for 2024.
Is value added (agriculture, forestry and fishing) β€” value us$ rising or falling in Palau?
Over the last ten years it is down 7.2%. The long-run trend across the full record is volatile.
Where does this Palau 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 Palau. 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/palau/

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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).