Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Peru

Peru: Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) was 7,295 million SLC in 2023. ▲ Rising

Latest (2023)
7,295 million SLC
Change on year
up 16.3%
World rank
86th
of 181 countries
All-time high
7,295 million SLC
in 2023
All-time low
1,606 million SLC
in 2002
Years of data
29
1995–2023

Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Peru, 1995–2023

2.0k4.0k6.0k8.0k1995200920231995: 1.7k million SLC1996: 1.7k million SLC1997: 1.9k million SLC1998: 2.0k million SLC1999: 1.9k million SLC2000: 1.8k million SLC2001: 1.6k million SLC2002: 1.6k million SLC2003: 1.7k million SLC2004: 1.7k million SLC2005: 1.9k million SLC2006: 2.2k million SLC2007: 2.5k million SLC2008: 2.5k million SLC2009: 3.6k million SLC2010: 3.2k million SLC2011: 4.0k million SLC2012: 3.6k million SLC2013: 3.9k million SLC2014: 4.5k million SLC2015: 4.1k million SLC2016: 4.2k million SLC2017: 4.5k million SLC2018: 5.4k million SLC2019: 5.6k million SLC2020: 5.5k million SLC2021: 5.8k million SLC2022: 6.3k million SLC2023: 7.3k million SLC

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

Analysis

The most recent figure for gross fixed capital formation (agriculture, forestry and fishing) in Peru is 7,295 million SLC, measured in 2023. That is the highest value across all 29 years on record.

Compared with earlier readings it is up 16.3% on the previous year and up 88.6% over ten years.

Over the whole period, gross fixed capital formation (agriculture, forestry and fishing) in Peru peaked at 7,295 million SLC in 2023 and was at its lowest, 1,606 million SLC, in 2002.

Peru ranks 86th of 181 countries on this measure, in the middle of the range.

The long-run direction has been consistently rising across the 29 years of available data.

Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Peru, year by year

Annual values for Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices in Peru, 1995 to 2023.
Year million SLC Change
1995 1,730 million SLC
1996 1,695 million SLC -2.0%
1997 1,938 million SLC +14.3%
1998 1,953 million SLC +0.8%
1999 1,875 million SLC -4.0%
2000 1,768 million SLC -5.7%
2001 1,627 million SLC -8.0%
2002 1,606 million SLC -1.3%
2003 1,666 million SLC +3.7%
2004 1,738 million SLC +4.4%
2005 1,883 million SLC +8.4%
2006 2,152 million SLC +14.2%
2007 2,542 million SLC +18.1%
2008 2,497 million SLC -1.8%
2009 3,648 million SLC +46.1%
2010 3,231 million SLC -11.4%
2011 3,976 million SLC +23.1%
2012 3,635 million SLC -8.6%
2013 3,868 million SLC +6.4%
2014 4,453 million SLC +15.1%
2015 4,118 million SLC -7.5%
2016 4,175 million SLC +1.4%
2017 4,477 million SLC +7.2%
2018 5,444 million SLC +21.6%
2019 5,650 million SLC +3.8%
2020 5,464 million SLC -3.3%
2021 5,818 million SLC +6.5%
2022 6,273 million SLC +7.8%
2023 7,295 million SLC +16.3%

Averages by decade

DecadeAverage LowestHighest Years
1990s 1,838 million SLC 1,695 million SLC 1,953 million SLC 5
2000s 2,113 million SLC 1,606 million SLC 3,648 million SLC 10
2010s 4,303 million SLC 3,231 million SLC 5,650 million SLC 10
2020s 6,213 million SLC 5,464 million SLC 7,295 million SLC 4

Countries ranked near Peru

  1. 83 Ghana 8,699 million SLC compare
  2. 84 Canada 8,105 million SLC compare
  3. 85 United Kingdom of Great Britain and Northern Ireland 7,417 million SLC compare
  4. 87 Guatemala 7,062 million SLC compare
  5. 88 Mauritania 6,272 million SLC compare
  6. 89 Spain 5,666 million SLC compare

See the full ranking of 194 places →

More environment data for Peru

All data for Peru →

Frequently asked questions

What is gross fixed capital formation (agriculture, forestry and fishing) in Peru?
Gross fixed capital formation (agriculture, forestry and fishing) in Peru was 7,295 million SLC in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest gross fixed capital formation (agriculture, forestry and fishing) recorded in Peru?
The highest recorded value was 7,295 million SLC in 2023.
What is the lowest gross fixed capital formation (agriculture, forestry and fishing) recorded in Peru?
The lowest recorded value was 1,606 million SLC in 2002.
How does Peru rank for gross fixed capital formation (agriculture, forestry and fishing)?
Peru ranks 86th out of 181 countries with data for 2023.
Is gross fixed capital formation (agriculture, forestry and fishing) rising or falling in Peru?
Over the last ten years it is up 88.6%. The long-run trend across the full record is rising.
Where does this Peru data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices. Statizoid updates them automatically from the source API.

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Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Peru. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 28 August 2026, from https://environment.statizoid.com/stat/gross-fixed-capital-formation-agriculture-forestry-and-fishing-value-standard-local-2/peru/

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About this data

Indicator
Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices
Unit
million SLC
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
194 places, 5,526 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.