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

Russian Federation: Consumption of Fixed Capital (Agriculture, Forestry and Fishing) was 945,842 million SLC in 2023. ◆ Volatile

Latest (2023)
945,842 million SLC
Change on year
up 20.1%
World rank
16th
of 181 countries
All-time high
945,842 million SLC
in 2023
All-time low
50,963 million SLC
in 2000
Years of data
24
2000–2023

Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in Russian Federation, 2000–2023

0200.0k400.0k600.0k800.0k1.0M2000201120232000: 51.0k million SLC2001: 62.9k million SLC2002: 70.5k million SLC2003: 78.0k million SLC2004: 90.2k million SLC2005: 101.8k million SLC2006: 116.2k million SLC2007: 141.1k million SLC2008: 179.8k million SLC2009: 204.1k million SLC2010: 231.7k million SLC2011: 259.1k million SLC2012: 289.3k million SLC2013: 318.3k million SLC2014: 358.0k million SLC2015: 413.5k million SLC2016: 455.6k million SLC2017: 481.4k million SLC2018: 523.1k million SLC2019: 564.6k million SLC2020: 608.1k million SLC2021: 660.0k million SLC2022: 787.4k million SLC2023: 945.8k 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 Russian Federation stood at 945,842 million SLC. That is the highest value across all 24 years on record.

Compared with earlier readings it is up 20.1% on the previous year and up 197.2% over ten years.

Over the whole period, consumption of fixed capital (agriculture, forestry and fishing) in Russian Federation peaked at 945,842 million SLC in 2023 and was at its lowest, 50,963 million SLC, in 2000.

Russian Federation ranks 16th of 181 countries on this measure, in the top 10%.

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 Russian Federation, year by year

Annual values for Consumption of Fixed Capital (Agriculture, Forestry and Fishing) — Value Standard Local Currency in Russian Federation, 2000 to 2023.
Year million SLC Change
2000 50,963 million SLC
2001 62,868 million SLC +23.4%
2002 70,453 million SLC +12.1%
2003 78,010 million SLC +10.7%
2004 90,215 million SLC +15.6%
2005 101,785 million SLC +12.8%
2006 116,196 million SLC +14.2%
2007 141,130 million SLC +21.5%
2008 179,826 million SLC +27.4%
2009 204,138 million SLC +13.5%
2010 231,680 million SLC +13.5%
2011 259,130 million SLC +11.8%
2012 289,260 million SLC +11.6%
2013 318,262 million SLC +10.0%
2014 358,018 million SLC +12.5%
2015 413,509 million SLC +15.5%
2016 455,609 million SLC +10.2%
2017 481,375 million SLC +5.7%
2018 523,075 million SLC +8.7%
2019 564,633 million SLC +7.9%
2020 608,132 million SLC +7.7%
2021 659,974 million SLC +8.5%
2022 787,396 million SLC +19.3%
2023 945,842 million SLC +20.1%

Averages by decade

DecadeAverage LowestHighest Years
2000s 109,558 million SLC 50,963 million SLC 204,138 million SLC 10
2010s 389,455 million SLC 231,680 million SLC 564,633 million SLC 10
2020s 750,336 million SLC 608,132 million SLC 945,842 million SLC 4

Countries ranked near Russian Federation

  1. 13 Pakistan 1.69 million million SLC compare
  2. 14 Cambodia 1.12 million million SLC compare
  3. 15 Chile 1.02 million million SLC compare
  4. 17 Argentina 945,582 million SLC compare
  5. 18 China, mainland 874,260 million SLC compare
  6. 19 Paraguay 792,130 million SLC compare

See the full ranking of 194 places →

More environment data for Russian Federation

All data for Russian Federation →

Frequently asked questions

What is consumption of fixed capital (agriculture, forestry and fishing) in Russian Federation?
Consumption of fixed capital (agriculture, forestry and fishing) in Russian Federation was 945,842 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 Russian Federation?
The highest recorded value was 945,842 million SLC in 2023.
What is the lowest consumption of fixed capital (agriculture, forestry and fishing) recorded in Russian Federation?
The lowest recorded value was 50,963 million SLC in 2000.
How does Russian Federation rank for consumption of fixed capital (agriculture, forestry and fishing)?
Russian Federation ranks 16th out of 181 countries with data for 2023.
Is consumption of fixed capital (agriculture, forestry and fishing) rising or falling in Russian Federation?
Over the last ten years it is up 197.2%. The long-run trend across the full record is volatile.
Where does this Russian Federation 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 Russian Federation. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 11 September 2026, from https://environment.statizoid.com/stat/consumption-of-fixed-capital-agriculture-forestry-and-fishing-value-standard-local/russian-federation-2/

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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.