Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in Brazil

Brazil: Consumption of Fixed Capital (Agriculture, Forestry and Fishing) was 32,273 million SLC in 2023. ◆ Volatile

Latest (2023)
32,273 million SLC
Change on year
up 20.4%
World rank
57th
of 181 countries
All-time high
32,273 million SLC
in 2023
All-time low
3,848 million SLC
in 1995
Years of data
29
1995–2023

Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in Brazil, 1995–2023

010.0k20.0k30.0k1995200920231995: 3.8k million SLC1996: 4.1k million SLC1997: 4.3k million SLC1998: 4.3k million SLC1999: 4.7k million SLC2000: 5.2k million SLC2001: 5.6k million SLC2002: 6.2k million SLC2003: 6.9k million SLC2004: 7.5k million SLC2005: 8.0k million SLC2006: 8.3k million SLC2007: 8.7k million SLC2008: 9.5k million SLC2009: 10.2k million SLC2010: 10.8k million SLC2011: 11.5k million SLC2012: 12.6k million SLC2013: 13.4k million SLC2014: 14.5k million SLC2015: 15.7k million SLC2016: 16.3k million SLC2017: 16.5k million SLC2018: 17.4k million SLC2019: 18.1k million SLC2020: 20.4k million SLC2021: 23.7k million SLC2022: 26.8k million SLC2023: 32.3k million SLC

Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.

Analysis

In 2023, consumption of fixed capital (agriculture, forestry and fishing) in Brazil stood at 32,273 million SLC. That is the highest value across all 29 years on record.

That represents a change of up 20.4% on the previous year and up 140.4% over ten years.

Over the whole period, consumption of fixed capital (agriculture, forestry and fishing) in Brazil peaked at 32,273 million SLC in 2023 and was at its lowest, 3,848 million SLC, in 1995.

Brazil ranks 57th of 181 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.

Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in Brazil, year by year

Annual values for Consumption of Fixed Capital (Agriculture, Forestry and Fishing) — Value Standard Local Currency in Brazil, 1995 to 2023.
Year million SLC Change
1995 3,848 million SLC
1996 4,105 million SLC +6.7%
1997 4,265 million SLC +3.9%
1998 4,309 million SLC +1.0%
1999 4,651 million SLC +7.9%
2000 5,188 million SLC +11.5%
2001 5,585 million SLC +7.7%
2002 6,189 million SLC +10.8%
2003 6,867 million SLC +10.9%
2004 7,514 million SLC +9.4%
2005 7,996 million SLC +6.4%
2006 8,304 million SLC +3.9%
2007 8,679 million SLC +4.5%
2008 9,474 million SLC +9.2%
2009 10,201 million SLC +7.7%
2010 10,831 million SLC +6.2%
2011 11,469 million SLC +5.9%
2012 12,631 million SLC +10.1%
2013 13,425 million SLC +6.3%
2014 14,519 million SLC +8.1%
2015 15,703 million SLC +8.2%
2016 16,263 million SLC +3.6%
2017 16,516 million SLC +1.6%
2018 17,380 million SLC +5.2%
2019 18,105 million SLC +4.2%
2020 20,377 million SLC +12.5%
2021 23,732 million SLC +16.5%
2022 26,812 million SLC +13.0%
2023 32,273 million SLC +20.4%

Averages by decade

DecadeAverage LowestHighest Years
1990s 4,236 million SLC 3,848 million SLC 4,651 million SLC 5
2000s 7,600 million SLC 5,188 million SLC 10,201 million SLC 10
2010s 14,684 million SLC 10,831 million SLC 18,105 million SLC 10
2020s 25,798 million SLC 20,377 million SLC 32,273 million SLC 4

Countries ranked near Brazil

  1. 54 Sweden 34,260 million SLC compare
  2. 55 Iceland 33,846 million SLC compare
  3. 56 South Africa 33,706 million SLC compare
  4. 58 Togo 31,591 million SLC compare
  5. 59 Afghanistan 29,968 million SLC compare
  6. 60 Uruguay 26,031 million SLC compare

See the full ranking of 194 places →

More environment data for Brazil

All data for Brazil →

Frequently asked questions

What is consumption of fixed capital (agriculture, forestry and fishing) in Brazil?
Consumption of fixed capital (agriculture, forestry and fishing) in Brazil was 32,273 million SLC in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest consumption of fixed capital (agriculture, forestry and fishing) recorded in Brazil?
The highest recorded value was 32,273 million SLC in 2023.
What is the lowest consumption of fixed capital (agriculture, forestry and fishing) recorded in Brazil?
The lowest recorded value was 3,848 million SLC in 1995.
How does Brazil rank for consumption of fixed capital (agriculture, forestry and fishing)?
Brazil ranks 57th out of 181 countries with data for 2023.
Is consumption of fixed capital (agriculture, forestry and fishing) rising or falling in Brazil?
Over the last ten years it is up 140.4%. 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 Consumption of Fixed Capital (Agriculture, Forestry and Fishing) — Value Standard Local Currency. Statizoid updates them automatically from the source API.

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Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in Brazil. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 08 September 2026, from https://environment.statizoid.com/stat/consumption-of-fixed-capital-agriculture-forestry-and-fishing-value-standard-local/brazil/

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About this data

Indicator
Consumption of Fixed Capital (Agriculture, Forestry and Fishing) — Value Standard Local Currency
Unit
million SLC
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
194 places, 5,516 data points, 1995–2023
Last refreshed

As part of the FAO Agriculture Capital Stock (ACS) database, the Statistics Division of FAO publishes country-by-country data on physical investment in agriculture, forestry and fishing as measured by the System of National Accounts (SNA) concept of Gross Fixed Capital Formation (GFCF). Additional variables included in the ACS are Net and Gross Capital Stock, Consumption of Fixed Capital, the Agriculture Investment ratio, and the Gross Fixed Capital Formation Agriculture Orientation Index. The FAO Agriculture Capital Stock Database is an analytical database: whenever available, the database integrates official National Accounts data harvested from the UNSD National Accounts Main Aggregates Database (UNSD AMA) and the OECD Annual National Accounts Database (OECD ANA). The database is further supplemented by OECD Structural Analysis database (OECD STAN) and, in a few cases, data from country’s statistics websites. If the full set of official data is not available for any specific country, imputation methods are applied to obtain estimates over the complete time series. Many data points in ACS are estimated and are flagged as such; they do not represent official submissions by Member Countries. With a view of producing internationally comparable net capital stock estimates, the Perpetual Inventory Method (PIM) with a constant geometric depreciation rate is employed to impute missing data. The Perpetual Inventory Method is a well-established economic model to calculate Net Capital Stocks (NCS) and Consumption of Fixed Capital (CFC) from time series of Gross Fixed Capital Formation (GFCF). Specifically, annual measures of the NCS are obtained from cumulating historical series on physical investment flows and deducting the part of assets that are depreciated (the Consumption of Fixed Capital that occurs in every period). In order to implement the PIM, long time series on aggregate GFCF in agriculture, forestry and fishing is required.An attempt is made to rely as much as possible on National Accounts data published by the OECD and UNSD. When country data are partially or fully missing, econometric techniques to impute missing observations are employed. Depending on the pattern of data missingness for the countries, different imputation methods are applied (from among the ARIMAX, PANEL regression, and OLS approaches) for the data series from 1995 to 2022. The values of Agriculture Capital Stock related indicators for 2023, including Agriculture Investment Ratio, Agriculture Orientation Index, Net Capital Stock, Gross Fixed Capital Formation and Consumption of Fixed Capital, are estimated using the Holt-Winters (HW) method (Cipra et al., 1995). The HW method is an exponential smoothing method for forecasting the annual values of economic variables. In this context, the HW method relies on existing (historical) values of the Agriculture Capital Stock. The predicted value is an extrapolation of the historical values to the specified target date, which extends the timeline without considering seasonality in the annual series.All data series in the database are provided both in national currencies and in US dollars as well as in current prices and constant prices with base year 2015.