Mushrooms and truffles — Gross Production Value in Hungary
Hungary: Mushrooms and truffles — Gross Production Value was 8.28 million 1000 SLC in 2017. ◆ Volatile
Latest (2017)
8.28 million 1000 SLC
Change on year
down 0.7%
World rank
7th
of 55 countries
All-time high
9.68 million 1000 SLC
in 2015
All-time low
167,797 1000 SLC
in 1990
Years of data
57
1961–2017
Mushrooms and truffles — Gross Production Value in Hungary, 1961–2017
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 SLC.
Analysis
In 2017, mushrooms and truffles — gross production value in Hungary stood at 8.28 million 1000 SLC.
That represents a change of down 0.7% on the previous year and up 13.1% over ten years.
Over the whole period, mushrooms and truffles — gross production value in Hungary peaked at 9.68 million 1000 SLC in 2015 and was at its lowest, 167,797 1000 SLC, in 1990.
Hungary ranks 7th of 55 countries on this measure, in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Mushrooms and truffles — Gross Production Value in Hungary, year by year
| Year | 1000 SLC | Change |
|---|---|---|
| 1961 | 169,150 1000 SLC | — |
| 1962 | 169,150 1000 SLC | +0.0% |
| 1963 | 169,150 1000 SLC | +0.0% |
| 1964 | 169,150 1000 SLC | +0.0% |
| 1965 | 169,150 1000 SLC | +0.0% |
| 1966 | 169,150 1000 SLC | +0.0% |
| 1967 | 169,150 1000 SLC | +0.0% |
| 1968 | 169,150 1000 SLC | +0.0% |
| 1969 | 169,150 1000 SLC | +0.0% |
| 1970 | 169,150 1000 SLC | +0.0% |
| 1971 | 169,150 1000 SLC | +0.0% |
| 1972 | 169,150 1000 SLC | +0.0% |
| 1973 | 169,150 1000 SLC | +0.0% |
| 1974 | 169,150 1000 SLC | +0.0% |
| 1975 | 169,150 1000 SLC | +0.0% |
| 1976 | 236,810 1000 SLC | +40.0% |
| 1977 | 338,300 1000 SLC | +42.9% |
| 1978 | 338,300 1000 SLC | +0.0% |
| 1979 | 236,810 1000 SLC | -30.0% |
| 1980 | 169,150 1000 SLC | -28.6% |
| 1981 | 169,150 1000 SLC | +0.0% |
| 1982 | 338,300 1000 SLC | +100.0% |
| 1983 | 338,300 1000 SLC | +0.0% |
| 1984 | 338,300 1000 SLC | +0.0% |
| 1985 | 338,300 1000 SLC | +0.0% |
| 1986 | 338,300 1000 SLC | +0.0% |
| 1987 | 169,150 1000 SLC | -50.0% |
| 1988 | 338,300 1000 SLC | +100.0% |
| 1989 | 169,150 1000 SLC | -50.0% |
| 1990 | 167,797 1000 SLC | -0.8% |
| 1991 | 1.69 million 1000 SLC | +908.1% |
| 1992 | 2.00 million 1000 SLC | +18.1% |
| 1993 | 2.34 million 1000 SLC | +17.1% |
| 1994 | 2.30 million 1000 SLC | -1.6% |
| 1995 | 2.59 million 1000 SLC | +12.5% |
| 1996 | 3.64 million 1000 SLC | +40.6% |
| 1997 | 4.59 million 1000 SLC | +26.0% |
| 1998 | 4.88 million 1000 SLC | +6.4% |
| 1999 | 5.38 million 1000 SLC | +10.2% |
| 2000 | 5.73 million 1000 SLC | +6.4% |
| 2001 | 6.23 million 1000 SLC | +8.8% |
| 2002 | 6.85 million 1000 SLC | +10.0% |
| 2003 | 7.58 million 1000 SLC | +10.6% |
| 2004 | 6.19 million 1000 SLC | -18.3% |
| 2005 | 6.68 million 1000 SLC | +7.8% |
| 2006 | 7.17 million 1000 SLC | +7.5% |
| 2007 | 7.32 million 1000 SLC | +2.0% |
| 2008 | 8.09 million 1000 SLC | +10.5% |
| 2009 | 7.43 million 1000 SLC | -8.2% |
| 2010 | 4.75 million 1000 SLC | -36.1% |
| 2011 | 4.82 million 1000 SLC | +1.6% |
| 2012 | 6.54 million 1000 SLC | +35.7% |
| 2013 | 6.34 million 1000 SLC | -3.1% |
| 2014 | 7.65 million 1000 SLC | +20.7% |
| 2015 | 9.68 million 1000 SLC | +26.6% |
| 2016 | 8.34 million 1000 SLC | -13.9% |
| 2017 | 8.28 million 1000 SLC | -0.7% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 169,150 1000 SLC | 169,150 1000 SLC | 169,150 1000 SLC | 9 |
| 1970s | 216,512 1000 SLC | 169,150 1000 SLC | 338,300 1000 SLC | 10 |
| 1980s | 270,640 1000 SLC | 169,150 1000 SLC | 338,300 1000 SLC | 10 |
| 1990s | 2.96 million 1000 SLC | 167,797 1000 SLC | 5.38 million 1000 SLC | 10 |
| 2000s | 6.93 million 1000 SLC | 5.73 million 1000 SLC | 8.09 million 1000 SLC | 10 |
| 2010s | 7.05 million 1000 SLC | 4.75 million 1000 SLC | 9.68 million 1000 SLC | 8 |
Countries ranked near Hungary
- 4 Republic of Korea 79.60 million 1000 SLC compare
- 5 India 31.67 million 1000 SLC compare
- 6 Russian Federation 10.68 million 1000 SLC compare
- 8 Madagascar 2.88 million 1000 SLC compare
- 9 Poland 1.28 million 1000 SLC compare
- 10 Mongolia 1.18 million 1000 SLC compare
More agriculture & rural data for Hungary
- Agriculture, forestry, and fishing, value added (current US$), annual 8.23 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0265 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 687.58 current US$ per person (2025)
- Rural population, annual growth rate -1.18 % change on previous year (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0.2931 units per person (2025)
- Share of GDP from agriculture 2.7% (2025)
- Agriculture as a share of GDP vs. GDP per capita 2.7% (2025)
- Agricultural raw materials exports 0.5% (2025)
- Agricultural raw materials imports 0.8% (2025)
Frequently asked questions
- What is mushrooms and truffles — gross production value in Hungary?
- Mushrooms and truffles — gross production value in Hungary was 8.28 million 1000 SLC in 2017, according to Food and Agriculture Organization of the United Nations.
- What is the highest mushrooms and truffles — gross production value recorded in Hungary?
- The highest recorded value was 9.68 million 1000 SLC in 2015.
- What is the lowest mushrooms and truffles — gross production value recorded in Hungary?
- The lowest recorded value was 167,797 1000 SLC in 1990.
- How does Hungary rank for mushrooms and truffles — gross production value?
- Hungary ranks 7th out of 55 countries with data for 2017.
- Is mushrooms and truffles — gross production value rising or falling in Hungary?
- Over the last ten years it is up 13.1%. The long-run trend across the full record is volatile.
- Where does this Hungary data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Mushrooms and truffles — Gross Production Value (constant 2014-2016 thousand SLC). Statizoid updates them automatically from the source API.
Download this data
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About this data
The domain provides detailed data on the value of agricultural production that is calculated by the agricultural production data and the price data at farm gate. Thus, the value of production measures the agricultural production in monetary terms at the farm gate level.