Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Belgium
Belgium: Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 was 3,327 million USD in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Belgium, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
The most recent figure for value added (agriculture, forestry and fishing) — value us$, 2015 in Belgium is 3,327 million USD, measured 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 us$, 2015 in Belgium peaked at 3,461 million USD in 2015 and was at its lowest, 1,186 million USD, in 1976.
That places Belgium 88th out of 200 countries with data for 2024, putting it in the middle of the range.
The long-run direction has been consistently rising across the 55 years of available data.
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Belgium, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 1,307 million USD | — |
| 1971 | 1,377 million USD | +5.3% |
| 1972 | 1,369 million USD | -0.5% |
| 1973 | 1,422 million USD | +3.9% |
| 1974 | 1,484 million USD | +4.4% |
| 1975 | 1,235 million USD | -16.8% |
| 1976 | 1,186 million USD | -4.0% |
| 1977 | 1,231 million USD | +3.8% |
| 1978 | 1,379 million USD | +12.0% |
| 1979 | 1,373 million USD | -0.4% |
| 1980 | 1,423 million USD | +3.6% |
| 1981 | 1,487 million USD | +4.5% |
| 1982 | 1,578 million USD | +6.2% |
| 1983 | 1,546 million USD | -2.1% |
| 1984 | 1,689 million USD | +9.3% |
| 1985 | 1,685 million USD | -0.3% |
| 1986 | 1,765 million USD | +4.7% |
| 1987 | 1,654 million USD | -6.2% |
| 1988 | 1,741 million USD | +5.2% |
| 1989 | 1,775 million USD | +2.0% |
| 1990 | 1,718 million USD | -3.3% |
| 1991 | 1,825 million USD | +6.3% |
| 1992 | 2,014 million USD | +10.3% |
| 1993 | 2,113 million USD | +4.9% |
| 1994 | 1,979 million USD | -6.3% |
| 1995 | 2,036 million USD | +2.9% |
| 1996 | 2,036 million USD | +0.0% |
| 1997 | 2,095 million USD | +2.9% |
| 1998 | 2,162 million USD | +3.2% |
| 1999 | 2,177 million USD | +0.7% |
| 2000 | 2,321 million USD | +6.6% |
| 2001 | 2,156 million USD | -7.1% |
| 2002 | 2,380 million USD | +10.4% |
| 2003 | 2,301 million USD | -3.3% |
| 2004 | 2,467 million USD | +7.2% |
| 2005 | 2,400 million USD | -2.7% |
| 2006 | 2,612 million USD | +8.9% |
| 2007 | 2,605 million USD | -0.3% |
| 2008 | 2,621 million USD | +0.6% |
| 2009 | 2,750 million USD | +4.9% |
| 2010 | 2,983 million USD | +8.5% |
| 2011 | 2,999 million USD | +0.5% |
| 2012 | 3,058 million USD | +2.0% |
| 2013 | 2,795 million USD | -8.6% |
| 2014 | 3,007 million USD | +7.6% |
| 2015 | 3,461 million USD | +15.1% |
| 2016 | 3,206 million USD | -7.4% |
| 2017 | 3,362 million USD | +4.9% |
| 2018 | 3,055 million USD | -9.1% |
| 2019 | 3,193 million USD | +4.5% |
| 2020 | 3,071 million USD | -3.8% |
| 2021 | 3,043 million USD | -0.9% |
| 2022 | 3,074 million USD | +1.0% |
| 2023 | 3,138 million USD | +2.1% |
| 2024 | 3,327 million USD | +6.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 1,336 million USD | 1,186 million USD | 1,484 million USD | 10 |
| 1980s | 1,634 million USD | 1,423 million USD | 1,775 million USD | 10 |
| 1990s | 2,015 million USD | 1,718 million USD | 2,177 million USD | 10 |
| 2000s | 2,461 million USD | 2,156 million USD | 2,750 million USD | 10 |
| 2010s | 3,112 million USD | 2,795 million USD | 3,461 million USD | 10 |
| 2020s | 3,131 million USD | 3,043 million USD | 3,327 million USD | 5 |
Countries ranked near Belgium
- 85 Yemen 3,668 million USD compare
- 86 Paraguay 3,526 million USD compare
- 87 Madagascar 3,441 million USD compare
- 89 Burkina Faso 3,306 million USD compare
- 90 Guinea 3,201 million USD compare
- 91 Sierra Leone 3,145 million USD compare
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)
- Other paper and paperboard — Import quantity, annual growth rate 20.19 % change on previous year (2024)
- Other paper and paperboard — Import quantity, per capita 0.1913 t per person (2024)
- Other paper and paperboard — Import value, annual growth rate 11.27 % change on previous year (2024)
- Other paper and paperboard — Import value, per capita 0.1476 1000 USD per person (2024)
- Other paper and paperboard, not elsewhere specified — Import -19.44 % change on previous year (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value us$, 2015 in Belgium?
- Value added (agriculture, forestry and fishing) — value us$, 2015 in Belgium was 3,327 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$, 2015 recorded in Belgium?
- The highest recorded value was 3,461 million USD in 2015.
- What is the lowest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Belgium?
- The lowest recorded value was 1,186 million USD in 1976.
- How does Belgium rank for value added (agriculture, forestry and fishing) — value us$, 2015?
- Belgium ranks 88th out of 200 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value us$, 2015 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 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).