Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Peru

Peru: Net Capital Stocks (Agriculture, Forestry and Fishing) — Value was 103,756 million SLC in 2023. ▲ Rising

Latest (2023)
103,756 million SLC
Change on year
up 5.5%
World rank
85th
of 179 countries
All-time high
103,756 million SLC
in 2023
All-time low
21,265 million SLC
in 1995
Years of data
29
1995–2023

Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Peru, 1995–2023

20.0k40.0k60.0k80.0k100.0k1995200920231995: 21.3k million SLC1996: 23.1k million SLC1997: 24.5k million SLC1998: 25.9k million SLC1999: 28.2k million SLC2000: 29.5k million SLC2001: 29.7k million SLC2002: 29.1k million SLC2003: 29.6k million SLC2004: 30.7k million SLC2005: 31.2k million SLC2006: 32.1k million SLC2007: 33.2k million SLC2008: 34.3k million SLC2009: 36.3k million SLC2010: 37.5k million SLC2011: 40.3k million SLC2012: 41.9k million SLC2013: 44.6k million SLC2014: 48.5k million SLC2015: 54.1k million SLC2016: 58.4k million SLC2017: 61.1k million SLC2018: 66.2k million SLC2019: 70.6k million SLC2020: 77.0k million SLC2021: 87.6k million SLC2022: 98.3k million SLC2023: 103.8k million SLC

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

Analysis

In 2023, net capital stocks (agriculture, forestry and fishing) — value in Peru stood at 103,756 million SLC. That is the highest value across all 29 years on record.

That represents a change of up 5.5% on the previous year and up 132.5% over ten years.

Over the whole period, net capital stocks (agriculture, forestry and fishing) — value in Peru peaked at 103,756 million SLC in 2023 and was at its lowest, 21,265 million SLC, in 1995.

Peru ranks 85th of 179 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.

Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Peru, year by year

Annual values for Net Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency in Peru, 1995 to 2023.
Year million SLC Change
1995 21,265 million SLC
1996 23,056 million SLC +8.4%
1997 24,460 million SLC +6.1%
1998 25,918 million SLC +6.0%
1999 28,201 million SLC +8.8%
2000 29,470 million SLC +4.5%
2001 29,683 million SLC +0.7%
2002 29,093 million SLC -2.0%
2003 29,643 million SLC +1.9%
2004 30,714 million SLC +3.6%
2005 31,168 million SLC +1.5%
2006 32,119 million SLC +3.1%
2007 33,184 million SLC +3.3%
2008 34,298 million SLC +3.4%
2009 36,283 million SLC +5.8%
2010 37,454 million SLC +3.2%
2011 40,260 million SLC +7.5%
2012 41,875 million SLC +4.0%
2013 44,624 million SLC +6.6%
2014 48,532 million SLC +8.8%
2015 54,097 million SLC +11.5%
2016 58,372 million SLC +7.9%
2017 61,075 million SLC +4.6%
2018 66,202 million SLC +8.4%
2019 70,570 million SLC +6.6%
2020 77,017 million SLC +9.1%
2021 87,613 million SLC +13.8%
2022 98,328 million SLC +12.2%
2023 103,756 million SLC +5.5%

Averages by decade

DecadeAverage LowestHighest Years
1990s 24,580 million SLC 21,265 million SLC 28,201 million SLC 5
2000s 31,565 million SLC 29,093 million SLC 36,283 million SLC 10
2010s 52,306 million SLC 37,454 million SLC 70,570 million SLC 10
2020s 91,678 million SLC 77,017 million SLC 103,756 million SLC 4

Countries ranked near Peru

  1. 82 Ghana 111,340 million SLC compare
  2. 83 Poland 109,014 million SLC compare
  3. 84 Guatemala 108,608 million SLC compare
  4. 86 Saudi Arabia 101,011 million SLC compare
  5. 87 Armenia 95,725 million SLC compare
  6. 88 Canada 79,769 million SLC compare

See the full ranking of 192 places →

More environment data for Peru

All data for Peru →

Frequently asked questions

What is net capital stocks (agriculture, forestry and fishing) — value in Peru?
Net capital stocks (agriculture, forestry and fishing) — value in Peru was 103,756 million SLC in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest net capital stocks (agriculture, forestry and fishing) — value recorded in Peru?
The highest recorded value was 103,756 million SLC in 2023.
What is the lowest net capital stocks (agriculture, forestry and fishing) — value recorded in Peru?
The lowest recorded value was 21,265 million SLC in 1995.
How does Peru rank for net capital stocks (agriculture, forestry and fishing) — value?
Peru ranks 85th out of 179 countries with data for 2023.
Is net capital stocks (agriculture, forestry and fishing) — value rising or falling in Peru?
Over the last ten years it is up 132.5%. 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 Net Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency. Statizoid updates them automatically from the source API.

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Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Peru. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 06 September 2026, from https://environment.statizoid.com/stat/net-capital-stocks-agriculture-forestry-and-fishing-value-standard-local-currency/peru/

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About this data

Indicator
Net Capital Stocks (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
192 places, 5,493 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.