Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Indonesia
Indonesia: Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 was 145,191 million USD in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Indonesia, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
Indonesia recorded 145,191 million USD for value added (agriculture, forestry and fishing) — value us$, 2015 in 2024. That is the highest value across all 55 years on record.
Compared with earlier readings it is up 0.7% on the previous year and up 29.7% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value us$, 2015 in Indonesia peaked at 145,191 million USD in 2024 and was at its lowest, 26,333 million USD, in 1970.
Indonesia ranks 3rd of 200 countries on this measure, in the top 10%.
The long-run direction has been consistently rising across the 55 years of available data.
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Indonesia, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 26,333 million USD | — |
| 1971 | 27,283 million USD | +3.6% |
| 1972 | 27,707 million USD | +1.6% |
| 1973 | 30,289 million USD | +9.3% |
| 1974 | 31,418 million USD | +3.7% |
| 1975 | 31,418 million USD | +0.0% |
| 1976 | 32,904 million USD | +4.7% |
| 1977 | 33,318 million USD | +1.3% |
| 1978 | 35,039 million USD | +5.2% |
| 1979 | 36,392 million USD | +3.9% |
| 1980 | 38,281 million USD | +5.2% |
| 1981 | 40,169 million USD | +4.9% |
| 1982 | 41,019 million USD | +2.1% |
| 1983 | 41,862 million USD | +2.1% |
| 1984 | 43,625 million USD | +4.2% |
| 1985 | 45,480 million USD | +4.3% |
| 1986 | 46,656 million USD | +2.6% |
| 1987 | 47,657 million USD | +2.1% |
| 1988 | 49,990 million USD | +4.9% |
| 1989 | 52,438 million USD | +4.9% |
| 1990 | 54,047 million USD | +3.1% |
| 1991 | 55,603 million USD | +2.9% |
| 1992 | 59,086 million USD | +6.3% |
| 1993 | 60,065 million USD | +1.7% |
| 1994 | 60,399 million USD | +0.6% |
| 1995 | 63,041 million USD | +4.4% |
| 1996 | 65,021 million USD | +3.1% |
| 1997 | 65,673 million USD | +1.0% |
| 1998 | 64,798 million USD | -1.3% |
| 1999 | 66,199 million USD | +2.2% |
| 2000 | 67,446 million USD | +1.9% |
| 2001 | 69,642 million USD | +3.3% |
| 2002 | 72,044 million USD | +3.4% |
| 2003 | 74,773 million USD | +3.8% |
| 2004 | 76,881 million USD | +2.8% |
| 2005 | 78,971 million USD | +2.7% |
| 2006 | 81,621 million USD | +3.4% |
| 2007 | 84,454 million USD | +3.5% |
| 2008 | 88,532 million USD | +4.8% |
| 2009 | 92,038 million USD | +4.0% |
| 2010 | 94,802 million USD | +3.0% |
| 2011 | 98,544 million USD | +3.9% |
| 2012 | 103,063 million USD | +4.6% |
| 2013 | 107,396 million USD | +4.2% |
| 2014 | 111,949 million USD | +4.2% |
| 2015 | 116,152 million USD | +3.8% |
| 2016 | 120,069 million USD | +3.4% |
| 2017 | 124,771 million USD | +3.9% |
| 2018 | 129,618 million USD | +3.9% |
| 2019 | 134,292 million USD | +3.6% |
| 2020 | 136,672 million USD | +1.8% |
| 2021 | 139,229 million USD | +1.9% |
| 2022 | 142,369 million USD | +2.3% |
| 2023 | 144,226 million USD | +1.3% |
| 2024 | 145,191 million USD | +0.7% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 31,210 million USD | 26,333 million USD | 36,392 million USD | 10 |
| 1980s | 44,718 million USD | 38,281 million USD | 52,438 million USD | 10 |
| 1990s | 61,393 million USD | 54,047 million USD | 66,199 million USD | 10 |
| 2000s | 78,640 million USD | 67,446 million USD | 92,038 million USD | 10 |
| 2010s | 114,066 million USD | 94,802 million USD | 134,292 million USD | 10 |
| 2020s | 141,537 million USD | 136,672 million USD | 145,191 million USD | 5 |
Countries ranked near Indonesia
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)
- Other paper and paperboard — Import quantity, annual growth rate 16.86 % change on previous year (2024)
- Other paper and paperboard — Import quantity, per capita 0.0022 t per person (2024)
- Other paper and paperboard — Import value, annual growth rate 1.71 % change on previous year (2024)
- Other paper and paperboard — Import value, per capita 0.0027 1000 USD per person (2024)
- Other paper and paperboard, not elsewhere specified — Import -19.4 % change on previous year (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value us$, 2015 in Indonesia?
- Value added (agriculture, forestry and fishing) — value us$, 2015 in Indonesia was 145,191 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$, 2015 recorded in Indonesia?
- The highest recorded value was 145,191 million USD in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Indonesia?
- The lowest recorded value was 26,333 million USD in 1970.
- How does Indonesia rank for value added (agriculture, forestry and fishing) — value us$, 2015?
- Indonesia ranks 3rd out of 200 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value us$, 2015 rising or falling in Indonesia?
- Over the last ten years it is up 29.7%. The long-run trend across the full record is rising.
- 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 US$, 2015 prices. Statizoid updates them automatically from the source API.
Download this data
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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).