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

Indonesia: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 2.79 billion million SLC in 2024. ◆ Volatile

Latest (2024)
2.79 billion million SLC
Change on year
up 6.6%
World rank
1st
of 199 countries
All-time high
2.79 billion million SLC
in 2024
All-time low
1.52 million million SLC
in 1970
Years of data
55
1970–2024

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

01.0B2.0B3.0B197019972024

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

Analysis

Indonesia recorded 2.79 billion million SLC for value added (agriculture, forestry and fishing) — value standard in 2024. That is the highest value across all 55 years on record.

Compared with earlier readings it is up 6.6% on the previous year and up 98.0% over ten years.

Over the whole period, value added (agriculture, forestry and fishing) — value standard in Indonesia peaked at 2.79 billion million SLC in 2024 and was at its lowest, 1.52 million million SLC, in 1970.

Indonesia ranks 1st 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 Indonesia, year by year

Annual values for Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency in Indonesia, 1970 to 2024.
Year million SLC Change
1970 1.52 million million SLC
1971 1.59 million million SLC +4.5%
1972 1.77 million million SLC +11.6%
1973 2.62 million million SLC +47.5%
1974 3.38 million million SLC +29.0%
1975 3.87 million million SLC +14.5%
1976 4.65 million million SLC +20.2%
1977 5.70 million million SLC +22.7%
1978 6.48 million million SLC +13.5%
1979 8.69 million million SLC +34.1%
1980 10.90 million million SLC +25.5%
1981 13.23 million million SLC +21.3%
1982 14.55 million million SLC +10.0%
1983 17.16 million million SLC +17.9%
1984 19.72 million million SLC +14.9%
1985 21.74 million million SLC +10.2%
1986 24.02 million million SLC +10.5%
1987 28.12 million million SLC +17.1%
1988 32.50 million million SLC +15.6%
1989 37.56 million million SLC +15.6%
1990 39.53 million million SLC +5.2%
1991 44.07 million million SLC +11.5%
1992 50.94 million million SLC +15.6%
1993 56.95 million million SLC +11.8%
1994 63.81 million million SLC +12.1%
1995 75.23 million million SLC +17.9%
1996 85.75 million million SLC +14.0%
1997 97.55 million million SLC +13.8%
1998 166.91 million million SLC +71.1%
1999 208.31 million million SLC +24.8%
2000 210.44 million million SLC +1.0%
2001 244.31 million million SLC +16.1%
2002 273.30 million million SLC +11.9%
2003 296.77 million million SLC +8.6%
2004 319.43 million million SLC +7.6%
2005 353.44 million million SLC +10.6%
2006 420.46 million million SLC +19.0%
2007 525.97 million million SLC +25.1%
2008 695.54 million million SLC +32.2%
2009 831.99 million million SLC +19.6%
2010 956.12 million million SLC +14.9%
2011 1.06 billion million SLC +10.7%
2012 1.15 billion million SLC +8.9%
2013 1.28 billion million SLC +10.7%
2014 1.41 billion million SLC +10.6%
2015 1.56 billion million SLC +10.3%
2016 1.67 billion million SLC +7.5%
2017 1.79 billion million SLC +7.0%
2018 1.90 billion million SLC +6.3%
2019 2.01 billion million SLC +5.9%
2020 2.12 billion million SLC +5.1%
2021 2.25 billion million SLC +6.6%
2022 2.43 billion million SLC +7.7%
2023 2.62 billion million SLC +7.8%
2024 2.79 billion million SLC +6.6%

Averages by decade

DecadeAverage LowestHighest Years
1970s 4.03 million million SLC 1.52 million million SLC 8.69 million million SLC 10
1980s 21.95 million million SLC 10.90 million million SLC 37.56 million million SLC 10
1990s 88.91 million million SLC 39.53 million million SLC 208.31 million million SLC 10
2000s 417.16 million million SLC 210.44 million million SLC 831.99 million million SLC 10
2010s 1.48 billion million SLC 956.12 million million SLC 2.01 billion million SLC 10
2020s 2.44 billion million SLC 2.12 billion million SLC 2.79 billion million SLC 5

Countries ranked near Indonesia

  1. 2 Uzbekistan 269.10 million million SLC compare
  2. 3 Colombia 155.57 million million SLC compare
  3. 4 Somalia 153.13 million million SLC compare

See the full ranking of 215 places →

More environment data for Indonesia

All data for Indonesia →

Frequently asked questions

What is value added (agriculture, forestry and fishing) — value standard in Indonesia?
Value added (agriculture, forestry and fishing) — value standard in Indonesia was 2.79 billion 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 Indonesia?
The highest recorded value was 2.79 billion million SLC in 2024.
What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Indonesia?
The lowest recorded value was 1.52 million million SLC in 1970.
How does Indonesia rank for value added (agriculture, forestry and fishing) — value standard?
Indonesia ranks 1st out of 199 countries with data for 2024.
Is value added (agriculture, forestry and fishing) — value standard rising or falling in Indonesia?
Over the last ten years it is up 98.0%. The long-run trend across the full record is volatile.
Where does this Indonesia 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 Indonesia. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 28 August 2026, from https://environment.statizoid.com/stat/value-added-agriculture-forestry-and-fishing-value-standard-local-currency/indonesia/

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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).