Value Added (Agriculture, Forestry and Fishing) — Value Standard in Portugal
Portugal: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 3,836 million SLC in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Portugal, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
Portugal recorded 3,836 million SLC for value added (agriculture, forestry and fishing) — value standard in 2024.
Compared with earlier readings it is up 3.4% on the previous year and up 10.6% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Portugal peaked at 4,380 million SLC in 1987 and was at its lowest, 2,619 million SLC, in 1976.
Portugal ranks 124th of 191 countries on this measure, 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 Portugal, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 2,828 million SLC | — |
| 1971 | 2,743 million SLC | -3.0% |
| 1972 | 2,711 million SLC | -1.2% |
| 1973 | 2,907 million SLC | +7.2% |
| 1974 | 2,839 million SLC | -2.3% |
| 1975 | 2,677 million SLC | -5.7% |
| 1976 | 2,619 million SLC | -2.2% |
| 1977 | 2,766 million SLC | +5.6% |
| 1978 | 2,911 million SLC | +5.2% |
| 1979 | 3,479 million SLC | +19.5% |
| 1980 | 3,565 million SLC | +2.5% |
| 1981 | 3,181 million SLC | -10.8% |
| 1982 | 3,376 million SLC | +6.1% |
| 1983 | 3,330 million SLC | -1.4% |
| 1984 | 3,631 million SLC | +9.0% |
| 1985 | 3,922 million SLC | +8.0% |
| 1986 | 4,044 million SLC | +3.1% |
| 1987 | 4,380 million SLC | +8.3% |
| 1988 | 3,702 million SLC | -15.5% |
| 1989 | 3,731 million SLC | +0.8% |
| 1990 | 3,602 million SLC | -3.5% |
| 1991 | 3,739 million SLC | +3.8% |
| 1992 | 3,879 million SLC | +3.7% |
| 1993 | 3,967 million SLC | +2.3% |
| 1994 | 3,882 million SLC | -2.1% |
| 1995 | 3,838 million SLC | -1.1% |
| 1996 | 3,976 million SLC | +3.6% |
| 1997 | 3,653 million SLC | -8.1% |
| 1998 | 3,536 million SLC | -3.2% |
| 1999 | 3,736 million SLC | +5.7% |
| 2000 | 3,607 million SLC | -3.5% |
| 2001 | 3,537 million SLC | -2.0% |
| 2002 | 3,683 million SLC | +4.1% |
| 2003 | 3,583 million SLC | -2.7% |
| 2004 | 3,774 million SLC | +5.3% |
| 2005 | 3,572 million SLC | -5.4% |
| 2006 | 3,661 million SLC | +2.5% |
| 2007 | 3,503 million SLC | -4.3% |
| 2008 | 3,621 million SLC | +3.4% |
| 2009 | 3,501 million SLC | -3.3% |
| 2010 | 3,535 million SLC | +0.9% |
| 2011 | 3,580 million SLC | +1.3% |
| 2012 | 3,553 million SLC | -0.8% |
| 2013 | 3,570 million SLC | +0.5% |
| 2014 | 3,467 million SLC | -2.9% |
| 2015 | 3,544 million SLC | +2.2% |
| 2016 | 3,539 million SLC | -0.1% |
| 2017 | 3,592 million SLC | +1.5% |
| 2018 | 3,585 million SLC | -0.2% |
| 2019 | 3,726 million SLC | +3.9% |
| 2020 | 3,679 million SLC | -1.2% |
| 2021 | 3,857 million SLC | +4.8% |
| 2022 | 3,555 million SLC | -7.8% |
| 2023 | 3,709 million SLC | +4.3% |
| 2024 | 3,836 million SLC | +3.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 2,848 million SLC | 2,619 million SLC | 3,479 million SLC | 10 |
| 1980s | 3,686 million SLC | 3,181 million SLC | 4,380 million SLC | 10 |
| 1990s | 3,781 million SLC | 3,536 million SLC | 3,976 million SLC | 10 |
| 2000s | 3,604 million SLC | 3,501 million SLC | 3,774 million SLC | 10 |
| 2010s | 3,569 million SLC | 3,467 million SLC | 3,726 million SLC | 10 |
| 2020s | 3,727 million SLC | 3,555 million SLC | 3,857 million SLC | 5 |
Countries ranked near Portugal
More environment data for Portugal
- Historical exposure to drought — Land soil moisture anomaly -0.6043 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -0.5127 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.44 °C (2025)
- Temperature change 2.15 °C (2025)
- Roundwood — Import value, annual growth rate -15.51 % change on previous year (2024)
- Roundwood — Import value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
- Roundwood — Import value, per capita 0.0268 1000 USD per person (2024)
- Roundwood — Export quantity, annual growth rate 24.06 % change on previous year (2024)
- Roundwood — Export quantity, per capita 0.0413 m3 per person (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Portugal?
- Value added (agriculture, forestry and fishing) — value standard in Portugal was 3,836 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 Portugal?
- The highest recorded value was 4,380 million SLC in 1987.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Portugal?
- The lowest recorded value was 2,619 million SLC in 1976.
- How does Portugal rank for value added (agriculture, forestry and fishing) — value standard?
- Portugal ranks 124th out of 191 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Portugal?
- Over the last ten years it is up 10.6%. The long-run trend across the full record is rising.
- Where does this Portugal 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).