Value Added (Agriculture, Forestry and Fishing) — Value Standard in Brazil
Brazil: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 655,317 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 655,317 million SLC, measured in 2024.
The figure is down 0.6% on the previous year and up 162.2% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Brazil peaked at 659,124 million SLC in 2023 and was at its lowest, 0 million SLC, in 1970.
That places Brazil 53rd out of 199 countries with data for 2024, putting it 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 | 0 million SLC | — |
| 1971 | 0 million SLC | — |
| 1972 | 0 million SLC | — |
| 1973 | 0 million SLC | — |
| 1974 | 0 million SLC | — |
| 1975 | 0 million SLC | — |
| 1976 | 0 million SLC | — |
| 1977 | 0 million SLC | — |
| 1978 | 0 million SLC | — |
| 1979 | 0 million SLC | — |
| 1980 | 0 million SLC | — |
| 1981 | 0 million SLC | — |
| 1982 | 0 million SLC | +100.0% |
| 1983 | 0 million SLC | +150.0% |
| 1984 | 0 million SLC | +240.0% |
| 1985 | 0.0001 million SLC | +235.3% |
| 1986 | 0.0001 million SLC | +149.1% |
| 1987 | 0.0004 million SLC | +186.6% |
| 1988 | 0.0032 million SLC | +686.7% |
| 1989 | 0.0408 million SLC | +1173.8% |
| 1990 | 1.2 million SLC | +2844.8% |
| 1991 | 6.1 million SLC | +408.1% |
| 1992 | 38.56 million SLC | +531.8% |
| 1993 | 779.62 million SLC | +1921.8% |
| 1994 | 26,835 million SLC | +3342.1% |
| 1995 | 35,382 million SLC | +31.8% |
| 1996 | 40,759 million SLC | +15.2% |
| 1997 | 44,606 million SLC | +9.4% |
| 1998 | 47,612 million SLC | +6.7% |
| 1999 | 50,535 million SLC | +6.1% |
| 2000 | 56,962 million SLC | +12.7% |
| 2001 | 63,170 million SLC | +10.9% |
| 2002 | 81,515 million SLC | +29.0% |
| 2003 | 105,949 million SLC | +30.0% |
| 2004 | 110,913 million SLC | +4.7% |
| 2005 | 100,958 million SLC | -9.0% |
| 2006 | 105,294 million SLC | +4.3% |
| 2007 | 120,152 million SLC | +14.1% |
| 2008 | 142,051 million SLC | +18.2% |
| 2009 | 149,213 million SLC | +5.0% |
| 2010 | 159,932 million SLC | +7.2% |
| 2011 | 190,024 million SLC | +18.8% |
| 2012 | 200,695 million SLC | +5.6% |
| 2013 | 240,290 million SLC | +19.7% |
| 2014 | 249,975 million SLC | +4.0% |
| 2015 | 258,967 million SLC | +3.6% |
| 2016 | 306,655 million SLC | +18.4% |
| 2017 | 302,971 million SLC | -1.2% |
| 2018 | 309,611 million SLC | +2.2% |
| 2019 | 310,714 million SLC | +0.4% |
| 2020 | 434,621 million SLC | +39.9% |
| 2021 | 591,085 million SLC | +36.0% |
| 2022 | 581,343 million SLC | -1.6% |
| 2023 | 659,124 million SLC | +13.4% |
| 2024 | 655,317 million SLC | -0.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 0 million SLC | 0 million SLC | 0 million SLC | 10 |
| 1980s | 0.0045 million SLC | 0 million SLC | 0.0408 million SLC | 10 |
| 1990s | 24,655 million SLC | 1.2 million SLC | 50,535 million SLC | 10 |
| 2000s | 103,618 million SLC | 56,962 million SLC | 149,213 million SLC | 10 |
| 2010s | 252,983 million SLC | 159,932 million SLC | 310,714 million SLC | 10 |
| 2020s | 584,298 million SLC | 434,621 million SLC | 659,124 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)
- Paper and paperboard — Import value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
- Paper and paperboard — Import value, per capita 0.003 1000 USD per person (2024)
- Graphic papers — Import quantity, annual growth rate 22.33 % change on previous year (2024)
- Graphic papers — Import quantity, per unit of GDP 0 t per US$ of GDP (2024)
- Graphic papers — Import quantity, per capita 0.0011 t 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 655,317 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 659,124 million SLC in 2023.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Brazil?
- The lowest recorded value was 0 million SLC in 1970.
- How does Brazil rank for value added (agriculture, forestry and fishing) — value standard?
- Brazil ranks 53rd out of 199 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 162.2%. 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. 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).