Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Brazil
Brazil: Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 was 99,335 million USD in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Brazil, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
In 2024, value added (agriculture, forestry and fishing) — value us$, 2015 in Brazil stood at 99,335 million USD.
Compared with earlier readings it is down 3.2% on the previous year and up 31.8% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value us$, 2015 in Brazil peaked at 102,627 million USD in 2023 and was at its lowest, 14,936 million USD, in 1970.
That places Brazil 6th out of 200 countries with data for 2024, putting it in the top 10%.
The series is highly variable year to year, so single readings are best treated with caution.
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Brazil, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 14,936 million USD | — |
| 1971 | 16,459 million USD | +10.2% |
| 1972 | 17,118 million USD | +4.0% |
| 1973 | 17,135 million USD | +0.1% |
| 1974 | 17,358 million USD | +1.3% |
| 1975 | 18,503 million USD | +6.6% |
| 1976 | 18,947 million USD | +2.4% |
| 1977 | 21,240 million USD | +12.1% |
| 1978 | 20,666 million USD | -2.7% |
| 1979 | 21,638 million USD | +4.7% |
| 1980 | 23,698 million USD | +9.5% |
| 1981 | 25,586 million USD | +8.0% |
| 1982 | 25,530 million USD | -0.2% |
| 1983 | 25,412 million USD | -0.5% |
| 1984 | 26,081 million USD | +2.6% |
| 1985 | 28,579 million USD | +9.6% |
| 1986 | 26,287 million USD | -8.0% |
| 1987 | 30,222 million USD | +15.0% |
| 1988 | 30,476 million USD | +0.8% |
| 1989 | 31,345 million USD | +2.9% |
| 1990 | 30,179 million USD | -3.7% |
| 1991 | 27,729 million USD | -8.1% |
| 1992 | 25,584 million USD | -7.7% |
| 1993 | 24,042 million USD | -6.0% |
| 1994 | 27,907 million USD | +16.1% |
| 1995 | 37,755 million USD | +35.3% |
| 1996 | 38,870 million USD | +3.0% |
| 1997 | 39,186 million USD | +0.8% |
| 1998 | 40,522 million USD | +3.4% |
| 1999 | 43,166 million USD | +6.5% |
| 2000 | 44,341 million USD | +2.7% |
| 2001 | 46,647 million USD | +5.2% |
| 2002 | 50,388 million USD | +8.0% |
| 2003 | 54,574 million USD | +8.3% |
| 2004 | 55,662 million USD | +2.0% |
| 2005 | 56,286 million USD | +1.1% |
| 2006 | 58,897 million USD | +4.6% |
| 2007 | 60,810 million USD | +3.2% |
| 2008 | 64,319 million USD | +5.8% |
| 2009 | 61,921 million USD | -3.7% |
| 2010 | 66,068 million USD | +6.7% |
| 2011 | 69,793 million USD | +5.6% |
| 2012 | 67,642 million USD | -3.1% |
| 2013 | 73,298 million USD | +8.4% |
| 2014 | 75,343 million USD | +2.8% |
| 2015 | 77,840 million USD | +3.3% |
| 2016 | 73,774 million USD | -5.2% |
| 2017 | 84,214 million USD | +14.2% |
| 2018 | 85,315 million USD | +1.3% |
| 2019 | 85,669 million USD | +0.4% |
| 2020 | 89,246 million USD | +4.2% |
| 2021 | 89,249 million USD | +0.0% |
| 2022 | 88,244 million USD | -1.1% |
| 2023 | 102,627 million USD | +16.3% |
| 2024 | 99,335 million USD | -3.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 18,400 million USD | 14,936 million USD | 21,638 million USD | 10 |
| 1980s | 27,322 million USD | 23,698 million USD | 31,345 million USD | 10 |
| 1990s | 33,494 million USD | 24,042 million USD | 43,166 million USD | 10 |
| 2000s | 55,385 million USD | 44,341 million USD | 64,319 million USD | 10 |
| 2010s | 75,896 million USD | 66,068 million USD | 85,669 million USD | 10 |
| 2020s | 93,740 million USD | 88,244 million USD | 102,627 million USD | 5 |
Countries ranked near Brazil
More environment data for Brazil
- Historical exposure to drought — Land soil moisture anomaly -6.93 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -8.24 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.221 °C (2025)
- Temperature change 1.36 °C (2025)
- Other paper and paperboard, not elsewhere specified — Import 14.96 % change on previous year (2024)
- Other paper and paperboard, not elsewhere specified — Import 0.0001 t per person (2024)
- Exposure to drought — Land soil moisture anomaly -9.66 Percentage change (2024)
- Exposure to drought — Cropland soil moisture anomaly -8.85 Percentage change (2024)
- Other paper and paperboard, not elsewhere specified — Import value 11.89 % change on previous year (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value us$, 2015 in Brazil?
- Value added (agriculture, forestry and fishing) — value us$, 2015 in Brazil was 99,335 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$, 2015 recorded in Brazil?
- The highest recorded value was 102,627 million USD in 2023.
- What is the lowest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Brazil?
- The lowest recorded value was 14,936 million USD in 1970.
- How does Brazil rank for value added (agriculture, forestry and fishing) — value us$, 2015?
- Brazil ranks 6th out of 200 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value us$, 2015 rising or falling in Brazil?
- Over the last ten years it is up 31.8%. The long-run trend across the full record is volatile.
- Where does this Brazil 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).