Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Italy
Italy: Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 was 34,228 million USD in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Italy, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
In 2024, value added (agriculture, forestry and fishing) — value us$, 2015 in Italy stood at 34,228 million USD.
The figure is up 2.0% on the previous year and down 2.5% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value us$, 2015 in Italy peaked at 38,103 million USD in 2000 and was at its lowest, 21,690 million USD, in 1972.
Italy ranks 18th of 200 countries on this measure, in the top 10%.
The long-run direction has been consistently rising across the 55 years of available data.
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Italy, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 24,315 million USD | — |
| 1971 | 24,181 million USD | -0.6% |
| 1972 | 21,690 million USD | -10.3% |
| 1973 | 23,153 million USD | +6.7% |
| 1974 | 23,744 million USD | +2.6% |
| 1975 | 24,364 million USD | +2.6% |
| 1976 | 23,028 million USD | -5.5% |
| 1977 | 22,983 million USD | -0.2% |
| 1978 | 23,234 million USD | +1.1% |
| 1979 | 24,595 million USD | +5.9% |
| 1980 | 25,607 million USD | +4.1% |
| 1981 | 26,152 million USD | +2.1% |
| 1982 | 25,443 million USD | -2.7% |
| 1983 | 27,742 million USD | +9.0% |
| 1984 | 27,395 million USD | -1.3% |
| 1985 | 27,571 million USD | +0.6% |
| 1986 | 28,403 million USD | +3.0% |
| 1987 | 29,647 million USD | +4.4% |
| 1988 | 29,206 million USD | -1.5% |
| 1989 | 29,754 million USD | +1.9% |
| 1990 | 29,383 million USD | -1.2% |
| 1991 | 32,115 million USD | +9.3% |
| 1992 | 33,016 million USD | +2.8% |
| 1993 | 32,810 million USD | -0.6% |
| 1994 | 33,218 million USD | +1.2% |
| 1995 | 33,694 million USD | +1.4% |
| 1996 | 34,107 million USD | +1.2% |
| 1997 | 34,896 million USD | +2.3% |
| 1998 | 35,799 million USD | +2.6% |
| 1999 | 37,794 million USD | +5.6% |
| 2000 | 38,103 million USD | +0.8% |
| 2001 | 37,023 million USD | -2.8% |
| 2002 | 35,278 million USD | -4.7% |
| 2003 | 33,906 million USD | -3.9% |
| 2004 | 37,874 million USD | +11.7% |
| 2005 | 35,994 million USD | -5.0% |
| 2006 | 35,723 million USD | -0.8% |
| 2007 | 36,111 million USD | +1.1% |
| 2008 | 36,872 million USD | +2.1% |
| 2009 | 36,496 million USD | -1.0% |
| 2010 | 36,586 million USD | +0.2% |
| 2011 | 36,870 million USD | +0.8% |
| 2012 | 35,408 million USD | -4.0% |
| 2013 | 35,857 million USD | +1.3% |
| 2014 | 35,092 million USD | -2.1% |
| 2015 | 36,752 million USD | +4.7% |
| 2016 | 36,632 million USD | -0.3% |
| 2017 | 35,167 million USD | -4.0% |
| 2018 | 36,196 million USD | +2.9% |
| 2019 | 35,469 million USD | -2.0% |
| 2020 | 33,990 million USD | -4.2% |
| 2021 | 33,896 million USD | -0.3% |
| 2022 | 34,799 million USD | +2.7% |
| 2023 | 33,572 million USD | -3.5% |
| 2024 | 34,228 million USD | +2.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 23,529 million USD | 21,690 million USD | 24,595 million USD | 10 |
| 1980s | 27,692 million USD | 25,443 million USD | 29,754 million USD | 10 |
| 1990s | 33,683 million USD | 29,383 million USD | 37,794 million USD | 10 |
| 2000s | 36,338 million USD | 33,906 million USD | 38,103 million USD | 10 |
| 2010s | 36,003 million USD | 35,092 million USD | 36,870 million USD | 10 |
| 2020s | 34,097 million USD | 33,572 million USD | 34,799 million USD | 5 |
Countries ranked near Italy
More environment data for Italy
- Historical exposure to drought — Land soil moisture anomaly 2.04 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly 2.47 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.324 °C (2025)
- Temperature change 2.18 °C (2025)
- Printing and writing papers — Import quantity, annual growth rate 6.9 % change on previous year (2024)
- Printing and writing papers — Import quantity, per capita 0.0167 t per person (2024)
- Printing and writing papers — Import value, annual growth rate -2.32 % change on previous year (2024)
- Printing and writing papers — Import value, per capita 0.0186 1000 USD per person (2024)
- Other paper and paperboard — Import quantity, annual growth rate 5.18 % change on previous year (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value us$, 2015 in Italy?
- Value added (agriculture, forestry and fishing) — value us$, 2015 in Italy was 34,228 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$, 2015 recorded in Italy?
- The highest recorded value was 38,103 million USD in 2000.
- What is the lowest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Italy?
- The lowest recorded value was 21,690 million USD in 1972.
- How does Italy rank for value added (agriculture, forestry and fishing) — value us$, 2015?
- Italy ranks 18th out of 200 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value us$, 2015 rising or falling in Italy?
- Over the last ten years it is down 2.5%. The long-run trend across the full record is rising.
- Where does this Italy 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
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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).