Value Added (Agriculture, Forestry and Fishing) — Value Standard in Italy
Italy: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 30,850 million SLC in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Italy, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
The most recent figure for value added (agriculture, forestry and fishing) — value standard in Italy is 30,850 million SLC, measured in 2024.
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 standard in Italy peaked at 34,342 million SLC in 2000 and was at its lowest, 19,549 million SLC, in 1972.
That places Italy 89th out of 191 countries with data for 2024, putting it in the middle of the range.
The long-run direction has been consistently rising across the 55 years of available data.
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Italy, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 21,915 million SLC | — |
| 1971 | 21,794 million SLC | -0.6% |
| 1972 | 19,549 million SLC | -10.3% |
| 1973 | 20,868 million SLC | +6.7% |
| 1974 | 21,401 million SLC | +2.6% |
| 1975 | 21,959 million SLC | +2.6% |
| 1976 | 20,755 million SLC | -5.5% |
| 1977 | 20,715 million SLC | -0.2% |
| 1978 | 20,941 million SLC | +1.1% |
| 1979 | 22,167 million SLC | +5.9% |
| 1980 | 23,079 million SLC | +4.1% |
| 1981 | 23,571 million SLC | +2.1% |
| 1982 | 22,931 million SLC | -2.7% |
| 1983 | 25,004 million SLC | +9.0% |
| 1984 | 24,691 million SLC | -1.3% |
| 1985 | 24,850 million SLC | +0.6% |
| 1986 | 25,599 million SLC | +3.0% |
| 1987 | 26,720 million SLC | +4.4% |
| 1988 | 26,324 million SLC | -1.5% |
| 1989 | 26,818 million SLC | +1.9% |
| 1990 | 26,483 million SLC | -1.2% |
| 1991 | 28,945 million SLC | +9.3% |
| 1992 | 29,757 million SLC | +2.8% |
| 1993 | 29,571 million SLC | -0.6% |
| 1994 | 29,940 million SLC | +1.2% |
| 1995 | 30,368 million SLC | +1.4% |
| 1996 | 30,741 million SLC | +1.2% |
| 1997 | 31,452 million SLC | +2.3% |
| 1998 | 32,266 million SLC | +2.6% |
| 1999 | 34,064 million SLC | +5.6% |
| 2000 | 34,342 million SLC | +0.8% |
| 2001 | 33,368 million SLC | -2.8% |
| 2002 | 31,796 million SLC | -4.7% |
| 2003 | 30,559 million SLC | -3.9% |
| 2004 | 34,135 million SLC | +11.7% |
| 2005 | 32,441 million SLC | -5.0% |
| 2006 | 32,197 million SLC | -0.8% |
| 2007 | 32,547 million SLC | +1.1% |
| 2008 | 33,232 million SLC | +2.1% |
| 2009 | 32,894 million SLC | -1.0% |
| 2010 | 32,975 million SLC | +0.2% |
| 2011 | 33,231 million SLC | +0.8% |
| 2012 | 31,913 million SLC | -4.0% |
| 2013 | 32,318 million SLC | +1.3% |
| 2014 | 31,629 million SLC | -2.1% |
| 2015 | 33,125 million SLC | +4.7% |
| 2016 | 33,016 million SLC | -0.3% |
| 2017 | 31,696 million SLC | -4.0% |
| 2018 | 32,623 million SLC | +2.9% |
| 2019 | 31,968 million SLC | -2.0% |
| 2020 | 30,635 million SLC | -4.2% |
| 2021 | 30,550 million SLC | -0.3% |
| 2022 | 31,364 million SLC | +2.7% |
| 2023 | 30,258 million SLC | -3.5% |
| 2024 | 30,850 million SLC | +2.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 21,206 million SLC | 19,549 million SLC | 22,167 million SLC | 10 |
| 1980s | 24,959 million SLC | 22,931 million SLC | 26,818 million SLC | 10 |
| 1990s | 30,359 million SLC | 26,483 million SLC | 34,064 million SLC | 10 |
| 2000s | 32,751 million SLC | 30,559 million SLC | 34,342 million SLC | 10 |
| 2010s | 32,449 million SLC | 31,629 million SLC | 33,231 million SLC | 10 |
| 2020s | 30,731 million SLC | 30,258 million SLC | 31,364 million SLC | 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)
- Sawnwood — Production, annual growth rate 0 % change on previous year (2024)
- Sawnwood — Production, per unit of GDP 0 m3 per US$ of GDP (2024)
- Sawnwood — Production, per capita 0.0323 m3 per person (2024)
- Sawnwood — Import quantity, annual growth rate 2.35 % change on previous year (2024)
- Sawnwood — Import quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Italy?
- Value added (agriculture, forestry and fishing) — value standard in Italy was 30,850 million SLC in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) — value standard recorded in Italy?
- The highest recorded value was 34,342 million SLC in 2000.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Italy?
- The lowest recorded value was 19,549 million SLC in 1972.
- How does Italy rank for value added (agriculture, forestry and fishing) — value standard?
- Italy ranks 89th out of 191 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard 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 Standard Local Currency, 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).