Value Added (Agriculture, Forestry and Fishing) — Value US$ in Republic of Korea

Republic of Korea: Value Added (Agriculture, Forestry and Fishing) — Value US$ was 25,802 million USD in 2024. ▲ Rising

Latest (2024)
25,802 million USD
Change on year
down 1.9%
World rank
29th
of 200 countries
All-time high
32,343 million USD
in 2021
All-time low
2,385 million USD
in 1970
Years of data
55
1970–2024

Value Added (Agriculture, Forestry and Fishing) — Value US$ in Republic of Korea, 1970–2024

010.0k20.0k30.0k197019972024

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

Analysis

In 2024, value added (agriculture, forestry and fishing) — value us$ in Republic of Korea stood at 25,802 million USD.

The figure is down 1.9% on the previous year and down 15.1% over ten years.

Over the whole period, value added (agriculture, forestry and fishing) — value us$ in Republic of Korea peaked at 32,343 million USD in 2021 and was at its lowest, 2,385 million USD, in 1970.

Republic of Korea ranks 29th of 200 countries on this measure, in the top quarter.

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

Value Added (Agriculture, Forestry and Fishing) — Value US$ in Republic of Korea, year by year

Annual values for Value Added (Agriculture, Forestry and Fishing) — Value US$ in Republic of Korea, 1970 to 2024.
Year million USD Change
1970 2,385 million USD
1971 2,687 million USD +12.7%
1972 2,879 million USD +7.1%
1973 3,414 million USD +18.6%
1974 4,723 million USD +38.3%
1975 5,333 million USD +12.9%
1976 6,889 million USD +29.2%
1977 8,375 million USD +21.6%
1978 10,346 million USD +23.5%
1979 12,403 million USD +19.9%
1980 9,321 million USD -24.8%
1981 10,950 million USD +17.5%
1982 10,961 million USD +0.1%
1983 11,067 million USD +1.0%
1984 11,563 million USD +4.5%
1985 11,891 million USD +2.8%
1986 12,167 million USD +2.3%
1987 13,753 million USD +13.0%
1988 18,382 million USD +33.7%
1989 21,066 million USD +14.6%
1990 21,526 million USD +2.2%
1991 22,534 million USD +4.7%
1992 23,458 million USD +4.1%
1993 23,195 million USD -1.1%
1994 26,183 million USD +12.9%
1995 30,150 million USD +15.2%
1996 30,222 million USD +0.2%
1997 25,492 million USD -15.7%
1998 16,148 million USD -36.7%
1999 21,095 million USD +30.6%
2000 22,157 million USD +5.0%
2001 19,451 million USD -12.2%
2002 20,015 million USD +2.9%
2003 20,728 million USD +3.6%
2004 23,327 million USD +12.5%
2005 24,346 million USD +4.4%
2006 26,136 million USD +7.3%
2007 26,602 million USD +1.8%
2008 22,327 million USD -16.1%
2009 21,013 million USD -5.9%
2010 24,386 million USD +16.1%
2011 27,549 million USD +13.0%
2012 27,804 million USD +0.9%
2013 28,623 million USD +2.9%
2014 30,374 million USD +6.1%
2015 29,223 million USD -3.8%
2016 27,469 million USD -6.0%
2017 29,329 million USD +6.8%
2018 29,176 million USD -0.5%
2019 26,386 million USD -9.6%
2020 27,521 million USD +4.3%
2021 32,343 million USD +17.5%
2022 26,061 million USD -19.4%
2023 26,289 million USD +0.9%
2024 25,802 million USD -1.9%

Averages by decade

DecadeAverage LowestHighest Years
1970s 5,943 million USD 2,385 million USD 12,403 million USD 10
1980s 13,112 million USD 9,321 million USD 21,066 million USD 10
1990s 24,000 million USD 16,148 million USD 30,222 million USD 10
2000s 22,610 million USD 19,451 million USD 26,602 million USD 10
2010s 28,032 million USD 24,386 million USD 30,374 million USD 10
2020s 27,603 million USD 25,802 million USD 32,343 million USD 5

Countries ranked near Republic of Korea

  1. 26 Malaysia 34,257 million USD compare
  2. 27 Saudi Arabia 30,424 million USD compare
  3. 28 Kenya 26,578 million USD compare
  4. 29 Cabo Verde 127.45 million USD compare
  5. 30 Poland 23,559 million USD compare
  6. 31 Uzbekistan 21,268 million USD compare
  7. 32 Sudan (former) 21,201 million USD compare

See the full ranking of 249 places →

More environment data for Republic of Korea

All data for Republic of Korea →

Frequently asked questions

What is value added (agriculture, forestry and fishing) — value us$ in Republic of Korea?
Value added (agriculture, forestry and fishing) — value us$ in Republic of Korea was 25,802 million USD in 2024, according to Food and Agriculture Organization of the United Nations.
What is the highest value added (agriculture, forestry and fishing) — value us$ recorded in Republic of Korea?
The highest recorded value was 32,343 million USD in 2021.
What is the lowest value added (agriculture, forestry and fishing) — value us$ recorded in Republic of Korea?
The lowest recorded value was 2,385 million USD in 1970.
How does Republic of Korea rank for value added (agriculture, forestry and fishing) — value us$?
Republic of Korea ranks 29th out of 200 countries with data for 2024.
Is value added (agriculture, forestry and fishing) — value us$ rising or falling in Republic of Korea?
Over the last ten years it is down 15.1%. The long-run trend across the full record is rising.
Where does this Republic of Korea 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 US$. Statizoid updates them automatically from the source API.

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Value Added (Agriculture, Forestry and Fishing) — Value US$ in Republic of Korea. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 04 September 2026, from https://environment.statizoid.com/stat/value-added-agriculture-forestry-and-fishing-value-us/republic-of-korea/

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About this data

Indicator
Value Added (Agriculture, Forestry and Fishing) — 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).