Value Added (Agriculture, Forestry and Fishing) — Value Standard in Brazil
Brazil: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 330,477 million SLC in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Brazil, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
The most recent figure for value added (agriculture, forestry and fishing) — value standard in Brazil is 330,477 million SLC, measured in 2024.
That represents a change of 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 standard in Brazil peaked at 341,431 million SLC in 2023 and was at its lowest, 49,690 million SLC, in 1970.
Brazil ranks 54th of 191 countries on this measure, in the middle of the range.
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 Brazil, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 49,690 million SLC | — |
| 1971 | 54,758 million SLC | +10.2% |
| 1972 | 56,949 million SLC | +4.0% |
| 1973 | 57,006 million SLC | +0.1% |
| 1974 | 57,747 million SLC | +1.3% |
| 1975 | 61,558 million SLC | +6.6% |
| 1976 | 63,035 million SLC | +2.4% |
| 1977 | 70,663 million SLC | +12.1% |
| 1978 | 68,755 million SLC | -2.7% |
| 1979 | 71,986 million SLC | +4.7% |
| 1980 | 78,839 million SLC | +9.5% |
| 1981 | 85,123 million SLC | +8.0% |
| 1982 | 84,936 million SLC | -0.2% |
| 1983 | 84,545 million SLC | -0.5% |
| 1984 | 86,768 million SLC | +2.6% |
| 1985 | 95,081 million SLC | +9.6% |
| 1986 | 87,455 million SLC | -8.0% |
| 1987 | 100,547 million SLC | +15.0% |
| 1988 | 101,392 million SLC | +0.8% |
| 1989 | 104,282 million SLC | +2.9% |
| 1990 | 100,402 million SLC | -3.7% |
| 1991 | 92,251 million SLC | -8.1% |
| 1992 | 85,114 million SLC | -7.7% |
| 1993 | 79,984 million SLC | -6.0% |
| 1994 | 92,844 million SLC | +16.1% |
| 1995 | 125,606 million SLC | +35.3% |
| 1996 | 129,316 million SLC | +3.0% |
| 1997 | 130,367 million SLC | +0.8% |
| 1998 | 134,811 million SLC | +3.4% |
| 1999 | 143,608 million SLC | +6.5% |
| 2000 | 147,519 million SLC | +2.7% |
| 2001 | 155,190 million SLC | +5.2% |
| 2002 | 167,637 million SLC | +8.0% |
| 2003 | 181,562 million SLC | +8.3% |
| 2004 | 185,184 million SLC | +2.0% |
| 2005 | 187,258 million SLC | +1.1% |
| 2006 | 195,946 million SLC | +4.6% |
| 2007 | 202,308 million SLC | +3.2% |
| 2008 | 213,983 million SLC | +5.8% |
| 2009 | 206,004 million SLC | -3.7% |
| 2010 | 219,800 million SLC | +6.7% |
| 2011 | 232,194 million SLC | +5.6% |
| 2012 | 225,037 million SLC | -3.1% |
| 2013 | 243,854 million SLC | +8.4% |
| 2014 | 250,659 million SLC | +2.8% |
| 2015 | 258,967 million SLC | +3.3% |
| 2016 | 245,438 million SLC | -5.2% |
| 2017 | 280,173 million SLC | +14.2% |
| 2018 | 283,835 million SLC | +1.3% |
| 2019 | 285,013 million SLC | +0.4% |
| 2020 | 296,912 million SLC | +4.2% |
| 2021 | 296,922 million SLC | +0.0% |
| 2022 | 293,580 million SLC | -1.1% |
| 2023 | 341,431 million SLC | +16.3% |
| 2024 | 330,477 million SLC | -3.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 61,215 million SLC | 49,690 million SLC | 71,986 million SLC | 10 |
| 1980s | 90,897 million SLC | 78,839 million SLC | 104,282 million SLC | 10 |
| 1990s | 111,430 million SLC | 79,984 million SLC | 143,608 million SLC | 10 |
| 2000s | 184,259 million SLC | 147,519 million SLC | 213,983 million SLC | 10 |
| 2010s | 252,497 million SLC | 219,800 million SLC | 285,013 million SLC | 10 |
| 2020s | 311,864 million SLC | 293,580 million SLC | 341,431 million SLC | 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)
- Sawnwood — Export quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
- Sawnwood — Export quantity, per capita 0.0119 m3 per person (2024)
- Sawnwood — Export value, annual growth rate -0.1182 % change on previous year (2024)
- Sawnwood — Export value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
- Sawnwood — Export value, per capita 0.0036 1000 USD per person (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Brazil?
- Value added (agriculture, forestry and fishing) — value standard in Brazil was 330,477 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 Brazil?
- The highest recorded value was 341,431 million SLC in 2023.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Brazil?
- The lowest recorded value was 49,690 million SLC in 1970.
- How does Brazil rank for value added (agriculture, forestry and fishing) — value standard?
- Brazil ranks 54th out of 191 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard 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 Standard Local Currency, 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).