Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Eastern Europe
Eastern Europe: Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 was 108,749 million USD in 2024. ▬ Flat
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Eastern Europe, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
The most recent figure for value added (agriculture, forestry and fishing) — value us$, 2015 in Eastern Europe is 108,749 million USD, measured in 2024.
Compared with earlier readings it is down 3.8% on the previous year and up 6.1% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value us$, 2015 in Eastern Europe peaked at 150,913 million USD in 1990 and was at its lowest, 65,271 million USD, in 1970.
Eastern Europe ranks 18th of 29 groups on this measure, in the middle of the range.
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Eastern Europe, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 65,271 million USD | — |
| 1971 | 75,008 million USD | +14.9% |
| 1972 | 81,259 million USD | +8.3% |
| 1973 | 87,568 million USD | +7.8% |
| 1974 | 93,599 million USD | +6.9% |
| 1975 | 99,900 million USD | +6.7% |
| 1976 | 104,779 million USD | +4.9% |
| 1977 | 108,568 million USD | +3.6% |
| 1978 | 112,633 million USD | +3.7% |
| 1979 | 113,710 million USD | +1.0% |
| 1980 | 115,009 million USD | +1.1% |
| 1981 | 116,253 million USD | +1.1% |
| 1982 | 118,950 million USD | +2.3% |
| 1983 | 121,909 million USD | +2.5% |
| 1984 | 121,336 million USD | -0.5% |
| 1985 | 120,968 million USD | -0.3% |
| 1986 | 127,677 million USD | +5.5% |
| 1987 | 129,376 million USD | +1.3% |
| 1988 | 137,300 million USD | +6.1% |
| 1989 | 144,582 million USD | +5.3% |
| 1990 | 150,913 million USD | +4.4% |
| 1991 | 100,762 million USD | -33.2% |
| 1992 | 94,127 million USD | -6.6% |
| 1993 | 93,884 million USD | -0.3% |
| 1994 | 86,042 million USD | -8.4% |
| 1995 | 86,304 million USD | +0.3% |
| 1996 | 82,697 million USD | -4.2% |
| 1997 | 82,955 million USD | +0.3% |
| 1998 | 72,142 million USD | -13.0% |
| 1999 | 75,575 million USD | +4.8% |
| 2000 | 78,769 million USD | +4.2% |
| 2001 | 87,530 million USD | +11.1% |
| 2002 | 88,184 million USD | +0.7% |
| 2003 | 87,492 million USD | -0.8% |
| 2004 | 94,654 million USD | +8.2% |
| 2005 | 92,432 million USD | -2.3% |
| 2006 | 93,214 million USD | +0.8% |
| 2007 | 88,785 million USD | -4.8% |
| 2008 | 97,854 million USD | +10.2% |
| 2009 | 99,529 million USD | +1.7% |
| 2010 | 89,441 million USD | -10.1% |
| 2011 | 96,068 million USD | +7.4% |
| 2012 | 90,889 million USD | -5.4% |
| 2013 | 98,164 million USD | +8.0% |
| 2014 | 102,530 million USD | +4.4% |
| 2015 | 100,999 million USD | -1.5% |
| 2016 | 104,307 million USD | +3.3% |
| 2017 | 105,705 million USD | +1.3% |
| 2018 | 108,027 million USD | +2.2% |
| 2019 | 109,734 million USD | +1.6% |
| 2020 | 108,472 million USD | -1.2% |
| 2021 | 110,002 million USD | +1.4% |
| 2022 | 107,388 million USD | -2.4% |
| 2023 | 113,001 million USD | +5.2% |
| 2024 | 108,749 million USD | -3.8% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 94,229 million USD | 65,271 million USD | 113,710 million USD | 10 |
| 1980s | 125,336 million USD | 115,009 million USD | 144,582 million USD | 10 |
| 1990s | 92,540 million USD | 72,142 million USD | 150,913 million USD | 10 |
| 2000s | 90,844 million USD | 78,769 million USD | 99,529 million USD | 10 |
| 2010s | 100,586 million USD | 89,441 million USD | 109,734 million USD | 10 |
| 2020s | 109,522 million USD | 107,388 million USD | 113,001 million USD | 5 |
Countries ranked near Eastern Europe
More environment data for Eastern Europe
- Historical exposure to drought — Land soil moisture anomaly -2.03 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -4.01 Percentage change (2025)
- Standard Deviation 0.483 °C (2025)
- Temperature change 2.81 °C (2025)
- Roundwood — Production 339.05 million m3 (2024)
- Roundwood, non-coniferous — Production 89.12 million m3 (2024)
- Roundwood, coniferous — Production 249.93 million m3 (2024)
- Roundwood — Export value 1.44 million 1000 USD (2024)
- Roundwood — Export quantity 13.20 million m3 (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value us$, 2015 in Eastern Europe?
- Value added (agriculture, forestry and fishing) — value us$, 2015 in Eastern Europe was 108,749 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$, 2015 recorded in Eastern Europe?
- The highest recorded value was 150,913 million USD in 1990.
- What is the lowest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Eastern Europe?
- The lowest recorded value was 65,271 million USD in 1970.
- How does Eastern Europe rank for value added (agriculture, forestry and fishing) — value us$, 2015?
- Eastern Europe ranks 18th out of 29 groups with data for 2024.
- Is value added (agriculture, forestry and fishing) — value us$, 2015 rising or falling in Eastern Europe?
- Over the last ten years it is up 6.1%. The long-run trend across the full record is flat.
- Where does this Eastern Europe 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.
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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).