Value Added (Agriculture, Forestry and Fishing) — Value Standard in Belgium
Belgium: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 2,999 million SLC in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Belgium, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
Belgium recorded 2,999 million SLC for value added (agriculture, forestry and fishing) — value standard in 2024.
Compared with earlier readings it is up 6.0% on the previous year and up 10.6% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Belgium peaked at 3,119 million SLC in 2015 and was at its lowest, 1,069 million SLC, in 1976.
That places Belgium 128th 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 Belgium, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 1,178 million SLC | — |
| 1971 | 1,241 million SLC | +5.3% |
| 1972 | 1,234 million SLC | -0.5% |
| 1973 | 1,282 million SLC | +3.9% |
| 1974 | 1,338 million SLC | +4.4% |
| 1975 | 1,113 million SLC | -16.8% |
| 1976 | 1,069 million SLC | -4.0% |
| 1977 | 1,109 million SLC | +3.8% |
| 1978 | 1,243 million SLC | +12.0% |
| 1979 | 1,237 million SLC | -0.4% |
| 1980 | 1,282 million SLC | +3.6% |
| 1981 | 1,340 million SLC | +4.5% |
| 1982 | 1,423 million SLC | +6.2% |
| 1983 | 1,393 million SLC | -2.1% |
| 1984 | 1,523 million SLC | +9.3% |
| 1985 | 1,519 million SLC | -0.3% |
| 1986 | 1,591 million SLC | +4.7% |
| 1987 | 1,491 million SLC | -6.2% |
| 1988 | 1,569 million SLC | +5.2% |
| 1989 | 1,600 million SLC | +2.0% |
| 1990 | 1,548 million SLC | -3.3% |
| 1991 | 1,645 million SLC | +6.3% |
| 1992 | 1,815 million SLC | +10.3% |
| 1993 | 1,904 million SLC | +4.9% |
| 1994 | 1,783 million SLC | -6.3% |
| 1995 | 1,835 million SLC | +2.9% |
| 1996 | 1,835 million SLC | +0.0% |
| 1997 | 1,888 million SLC | +2.9% |
| 1998 | 1,949 million SLC | +3.2% |
| 1999 | 1,962 million SLC | +0.7% |
| 2000 | 2,092 million SLC | +6.6% |
| 2001 | 1,943 million SLC | -7.1% |
| 2002 | 2,145 million SLC | +10.4% |
| 2003 | 2,074 million SLC | -3.3% |
| 2004 | 2,223 million SLC | +7.2% |
| 2005 | 2,163 million SLC | -2.7% |
| 2006 | 2,354 million SLC | +8.9% |
| 2007 | 2,348 million SLC | -0.3% |
| 2008 | 2,362 million SLC | +0.6% |
| 2009 | 2,478 million SLC | +4.9% |
| 2010 | 2,689 million SLC | +8.5% |
| 2011 | 2,703 million SLC | +0.5% |
| 2012 | 2,756 million SLC | +2.0% |
| 2013 | 2,519 million SLC | -8.6% |
| 2014 | 2,710 million SLC | +7.6% |
| 2015 | 3,119 million SLC | +15.1% |
| 2016 | 2,890 million SLC | -7.4% |
| 2017 | 3,030 million SLC | +4.9% |
| 2018 | 2,753 million SLC | -9.1% |
| 2019 | 2,878 million SLC | +4.5% |
| 2020 | 2,768 million SLC | -3.8% |
| 2021 | 2,742 million SLC | -0.9% |
| 2022 | 2,770 million SLC | +1.0% |
| 2023 | 2,829 million SLC | +2.1% |
| 2024 | 2,999 million SLC | +6.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 1,204 million SLC | 1,069 million SLC | 1,338 million SLC | 10 |
| 1980s | 1,473 million SLC | 1,282 million SLC | 1,600 million SLC | 10 |
| 1990s | 1,816 million SLC | 1,548 million SLC | 1,962 million SLC | 10 |
| 2000s | 2,218 million SLC | 1,943 million SLC | 2,478 million SLC | 10 |
| 2010s | 2,805 million SLC | 2,519 million SLC | 3,119 million SLC | 10 |
| 2020s | 2,822 million SLC | 2,742 million SLC | 2,999 million SLC | 5 |
Countries ranked near Belgium
More environment data for Belgium
- Historical exposure to drought — Land soil moisture anomaly -5.46 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -6.46 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.574 °C (2025)
- Temperature change 2.19 °C (2025)
- Sawnwood — Export quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
- Sawnwood — Export quantity, per capita 0.0831 m3 per person (2024)
- Sawnwood — Export value, annual growth rate 34.01 % change on previous year (2024)
- Sawnwood — Export value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
- Sawnwood — Export value, per capita 0.0503 1000 USD per person (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Belgium?
- Value added (agriculture, forestry and fishing) — value standard in Belgium was 2,999 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 Belgium?
- The highest recorded value was 3,119 million SLC in 2015.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Belgium?
- The lowest recorded value was 1,069 million SLC in 1976.
- How does Belgium rank for value added (agriculture, forestry and fishing) — value standard?
- Belgium ranks 128th out of 191 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Belgium?
- Over the last ten years it is up 10.6%. The long-run trend across the full record is rising.
- Where does this Belgium 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).