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

Republic of Korea: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 35.20 million million SLC in 2024. ◆ Volatile

Latest (2024)
35.20 million million SLC
Change on year
up 2.6%
World rank
10th
of 199 countries
All-time high
37.00 million million SLC
in 2021
All-time low
740,700 million SLC
in 1970
Years of data
55
1970–2024

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

010.0M20.0M30.0M40.0M197019972024

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

Analysis

Republic of Korea recorded 35.20 million million SLC for value added (agriculture, forestry and fishing) — value standard in 2024.

Compared with earlier readings it is up 2.6% on the previous year and up 10.1% over ten years.

Over the whole period, value added (agriculture, forestry and fishing) — value standard in Republic of Korea peaked at 37.00 million million SLC in 2021 and was at its lowest, 740,700 million SLC, in 1970.

Republic of Korea ranks 10th of 199 countries on this measure, in the top 10%.

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

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

Annual values for Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency in Republic of Korea, 1970 to 2024.
Year million SLC Change
1970 740,700 million SLC
1971 932,900 million SLC +25.9%
1972 1.13 million million SLC +21.2%
1973 1.36 million million SLC +20.2%
1974 1.91 million million SLC +40.5%
1975 2.58 million million SLC +35.1%
1976 3.33 million million SLC +29.2%
1977 4.05 million million SLC +21.6%
1978 5.01 million million SLC +23.5%
1979 6.00 million million SLC +19.9%
1980 5.66 million million SLC -5.6%
1981 7.46 million million SLC +31.6%
1982 8.01 million million SLC +7.5%
1983 8.59 million million SLC +7.1%
1984 9.32 million million SLC +8.6%
1985 10.35 million million SLC +11.0%
1986 10.72 million million SLC +3.7%
1987 11.31 million million SLC +5.5%
1988 13.45 million million SLC +18.9%
1989 14.14 million million SLC +5.2%
1990 15.24 million million SLC +7.7%
1991 16.52 million million SLC +8.5%
1992 18.31 million million SLC +10.8%
1993 18.61 million million SLC +1.6%
1994 21.04 million million SLC +13.1%
1995 23.25 million million SLC +10.5%
1996 24.31 million million SLC +4.6%
1997 24.21 million million SLC -0.4%
1998 22.66 million million SLC -6.4%
1999 25.09 million million SLC +10.7%
2000 25.05 million million SLC -0.2%
2001 25.11 million million SLC +0.2%
2002 25.05 million million SLC -0.2%
2003 24.70 million million SLC -1.4%
2004 26.74 million million SLC +8.2%
2005 24.94 million million SLC -6.7%
2006 24.97 million million SLC +0.1%
2007 24.72 million million SLC -1.0%
2008 24.56 million million SLC -0.7%
2009 26.84 million million SLC +9.3%
2010 28.20 million million SLC +5.1%
2011 30.53 million million SLC +8.3%
2012 31.33 million million SLC +2.6%
2013 31.34 million million SLC +0.0%
2014 31.98 million million SLC +2.0%
2015 33.05 million million SLC +3.3%
2016 31.88 million million SLC -3.5%
2017 33.17 million million SLC +4.0%
2018 32.10 million million SLC -3.2%
2019 30.75 million million SLC -4.2%
2020 32.48 million million SLC +5.6%
2021 37.00 million million SLC +13.9%
2022 33.66 million million SLC -9.0%
2023 34.33 million million SLC +2.0%
2024 35.20 million million SLC +2.6%

Averages by decade

DecadeAverage LowestHighest Years
1970s 2.71 million million SLC 740,700 million SLC 6.00 million million SLC 10
1980s 9.90 million million SLC 5.66 million million SLC 14.14 million million SLC 10
1990s 20.93 million million SLC 15.24 million million SLC 25.09 million million SLC 10
2000s 25.27 million million SLC 24.56 million million SLC 26.84 million million SLC 10
2010s 31.43 million million SLC 28.20 million million SLC 33.17 million million SLC 10
2020s 34.53 million million SLC 32.48 million million SLC 37.00 million million SLC 5

Countries ranked near Republic of Korea

  1. 7 Nigeria 56.48 million million SLC compare
  2. 7 Türkiye 2.43 million million SLC compare
  3. 8 Democratic People's Republic of Korea 406,904 million SLC compare
  4. 8 India 52.44 million million SLC compare
  5. 9 Uganda 50.81 million million SLC compare
  6. 9 Venezuela (Bolivarian Republic of) 52,703 million SLC compare
  7. 10 Bolivia (Plurinational State of) 45,282 million SLC compare
  8. 11 Paraguay 34.94 million million SLC compare
  9. 11 Republic of Moldova 30,081 million SLC compare
  10. 12 Argentina 34.65 million million SLC compare
  11. 12 Timor-Leste 370.23 million SLC compare
  12. 13 Cambodia 31.19 million million SLC compare
  13. 13 Micronesia (Federated States of) 107.5 million SLC compare

See the full ranking of 215 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 standard in Republic of Korea?
Value added (agriculture, forestry and fishing) — value standard in Republic of Korea was 35.20 million 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 Republic of Korea?
The highest recorded value was 37.00 million million SLC in 2021.
What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Republic of Korea?
The lowest recorded value was 740,700 million SLC in 1970.
How does Republic of Korea rank for value added (agriculture, forestry and fishing) — value standard?
Republic of Korea ranks 10th out of 199 countries with data for 2024.
Is value added (agriculture, forestry and fishing) — value standard rising or falling in Republic of Korea?
Over the last ten years it is up 10.1%. The long-run trend across the full record is volatile.
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 Standard Local Currency. Statizoid updates them automatically from the source API.

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Value Added (Agriculture, Forestry and Fishing) — Value Standard in Republic of Korea. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 12 September 2026, from https://environment.statizoid.com/stat/value-added-agriculture-forestry-and-fishing-value-standard-local-currency/republic-of-korea/

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About this data

Indicator
Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency
Unit
million SLC
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
215 places, 10,919 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).