Value Added (Agriculture) … Forestry Fishing Standard Local Currency in Indonesia
Indonesia: Value Added (Agriculture) … Forestry Fishing Standard Local Currency was 2.79 billion million SLC in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Indonesia, 1970–2024
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 2nd of 228 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 Fishing Standard Local Currency in Indonesia, year by year
| 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% |
Indonesia compared with similar countries
- Indonesia's 2.79 billion million SLC is above the median for upper middle income countries, which is 60,675 million SLC, 46005.7× the median. (54 countries reporting)
- Indonesia's 2.79 billion million SLC is above the median for East Asia & Pacific, which is 22,947 million SLC, 121644.9× the median. (28 countries reporting)
Biggest year-on-year movements
Years where Value Added (Agriculture) … Forestry Fishing Standard Local Currency in Indonesia changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 1998 | +71.1% | 97.55 million million SLC | 166.91 million million SLC |
Averages by decade
| Decade | Average | Lowest | Highest | 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 Iran (Islamic Republic of) 26.53 billion million SLC compare
- 3 Viet Nam 1.36 billion million SLC compare
- 3 Vietnam 1.36 billion million SLC compare
- 5 Uzbekistan 269.10 million million SLC compare
More environment data for Indonesia
- Historical exposure to drought — Land soil moisture anomaly 1.36 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly 1.41 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.153 °C (2025)
- Temperature change 1.12 °C (2025)
- Wood-based panels — Production, annual growth rate 0 % change on previous year (2024)
- Total greenhouse gas emissions excluding LULUCF (Mt CO2e), annual 4.95 % change on previous year (2024)
- Total greenhouse gas emissions excluding LULUCF (Mt CO2e), per unit 0 Mt CO2e per US$ of GDP (2024)
- Total greenhouse gas emissions excluding LULUCF (Mt CO2e), per capita 0 Mt CO2e per person (2024)
- Methane (CH4) emissions from Agriculture (Mt CO2e), annual growth rate 1.82 % change on previous year (2024)
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 2nd out of 228 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.
Download this data
CSV · JSON — 55 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
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).