Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Russia
Russia: Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 was 60,030 million USD in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Russia, 1991–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
The most recent figure for value added (agriculture, forestry and fishing) — value us$, 2015 in Russia is 60,030 million USD, measured in 2024.
That represents a change of down 3.4% on the previous year and up 16.9% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value us$, 2015 in Russia peaked at 62,159 million USD in 2023 and was at its lowest, 31,672 million USD, in 1998.
Russia ranks 11th of 233 countries on this measure, in the top 10%.
The long-run direction has been consistently rising across the 34 years of available data.
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Russia, year by year
| Year | million USD | Change |
|---|---|---|
| 1991 | 57,755 million USD | — |
| 1992 | 52,557 million USD | -9.0% |
| 1993 | 50,455 million USD | -4.0% |
| 1994 | 44,498 million USD | -11.8% |
| 1995 | 40,183 million USD | -9.7% |
| 1996 | 38,108 million USD | -5.2% |
| 1997 | 38,758 million USD | +1.7% |
| 1998 | 31,672 million USD | -18.3% |
| 1999 | 36,833 million USD | +16.3% |
| 2000 | 41,271 million USD | +12.0% |
| 2001 | 45,835 million USD | +11.1% |
| 2002 | 47,166 million USD | +2.9% |
| 2003 | 46,452 million USD | -1.5% |
| 2004 | 46,989 million USD | +1.2% |
| 2005 | 46,759 million USD | -0.5% |
| 2006 | 48,067 million USD | +2.8% |
| 2007 | 48,641 million USD | +1.2% |
| 2008 | 51,459 million USD | +5.8% |
| 2009 | 52,307 million USD | +1.6% |
| 2010 | 46,041 million USD | -12.0% |
| 2011 | 48,736 million USD | +5.9% |
| 2012 | 48,033 million USD | -1.4% |
| 2013 | 49,916 million USD | +3.9% |
| 2014 | 51,331 million USD | +2.8% |
| 2015 | 52,809 million USD | +2.9% |
| 2016 | 53,751 million USD | +1.8% |
| 2017 | 54,553 million USD | +1.5% |
| 2018 | 55,459 million USD | +1.7% |
| 2019 | 57,373 million USD | +3.5% |
| 2020 | 57,503 million USD | +0.2% |
| 2021 | 57,029 million USD | -0.8% |
| 2022 | 60,821 million USD | +6.7% |
| 2023 | 62,159 million USD | +2.2% |
| 2024 | 60,030 million USD | -3.4% |
Russia compared with similar countries
- Russia's 60,030 million USD is above the median for high income countries, which is 1,936 million USD, 31.0× the median. (71 countries reporting)
- Russia's 60,030 million USD is above the median for Europe & Central Asia, which is 3,327 million USD, 18.0× the median. (51 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 43,424 million USD | 31,672 million USD | 57,755 million USD | 9 |
| 2000s | 47,495 million USD | 41,271 million USD | 52,307 million USD | 10 |
| 2010s | 51,800 million USD | 46,041 million USD | 57,373 million USD | 10 |
| 2020s | 59,508 million USD | 57,029 million USD | 62,159 million USD | 5 |
Countries ranked near Russia
- 8 Pakistan 90,262 million USD compare
- 9 Türkiye 69,137 million USD compare
- 9 Turkey 69,137 million USD compare
- 11 Russian Federation 60,030 million USD compare
- 13 Australia and New Zealand 53,208 million USD compare
- 14 Iran (Islamic Republic of) 51,695 million USD compare
More environment data for Russia
- Historical exposure to drought — Land soil moisture anomaly -1.76 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -3.18 Percentage change (2025)
- Methane (CH4) emissions (total) excluding LULUCF (Mt CO2e), annual -0.8386 % change on previous year (2024)
- Methane (CH4) emissions (total) excluding LULUCF (Mt CO2e), per unit 0 Mt CO2e per US$ of GDP (2024)
- Methane (CH4) emissions (total) excluding LULUCF (Mt CO2e), per capita 0 Mt CO2e per person (2024)
- Methane (CH4) emissions from Power Industry (Energy) (Mt CO2e) 2.36 % change on previous year (2024)
- Methane (CH4) emissions from Power Industry (Energy) (Mt CO2e), per 0 Mt CO2e per US$ of GDP (2024)
- Methane (CH4) emissions from Power Industry (Energy) (Mt CO2e), per 0 Mt CO2e per person (2024)
- Methane (CH4) emissions from Transport (Energy) (Mt CO2e), annual 2.59 % change on previous year (2024)
- Methane (CH4) emissions from Transport (Energy) (Mt CO2e), per unit 0 Mt CO2e per US$ of GDP (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value us$, 2015 in Russia?
- Value added (agriculture, forestry and fishing) — value us$, 2015 in Russia was 60,030 million USD in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Russia?
- The highest recorded value was 62,159 million USD in 2023.
- What is the lowest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Russia?
- The lowest recorded value was 31,672 million USD in 1998.
- How does Russia rank for value added (agriculture, forestry and fishing) — value us$, 2015?
- Russia ranks 11th out of 233 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value us$, 2015 rising or falling in Russia?
- Over the last ten years it is up 16.9%. The long-run trend across the full record is rising.
- Where does this Russia 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 US$, 2015 prices. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 34 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).