Sour cherries — Gross Production Value in Hungary
Hungary: Sour cherries — Gross Production Value was 7.69 million 1000 SLC in 2017. ▲ Rising
Sour cherries — Gross Production Value in Hungary, 1961–2017
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 SLC.
Analysis
Hungary recorded 7.69 million 1000 SLC for sour cherries — gross production value in 2017.
The figure is down 5.2% on the previous year and up 63.9% over ten years.
Over the whole period, sour cherries — gross production value in Hungary peaked at 10.12 million 1000 SLC in 2014 and was at its lowest, 2.74 million 1000 SLC, in 1976.
That places Hungary 3rd out of 25 countries with data for 2017, putting it in the top 10%.
The long-run direction has been consistently rising across the 57 years of available data.
Sour cherries — Gross Production Value in Hungary, year by year
| Year | 1000 SLC | Change |
|---|---|---|
| 1961 | 6.10 million 1000 SLC | — |
| 1962 | 5.38 million 1000 SLC | -11.9% |
| 1963 | 4.82 million 1000 SLC | -10.5% |
| 1964 | 3.93 million 1000 SLC | -18.3% |
| 1965 | 2.95 million 1000 SLC | -24.9% |
| 1966 | 4.11 million 1000 SLC | +39.3% |
| 1967 | 3.01 million 1000 SLC | -26.8% |
| 1968 | 4.49 million 1000 SLC | +49.0% |
| 1969 | 3.41 million 1000 SLC | -24.0% |
| 1970 | 4.46 million 1000 SLC | +30.9% |
| 1971 | 5.55 million 1000 SLC | +24.4% |
| 1972 | 3.79 million 1000 SLC | -31.7% |
| 1973 | 4.87 million 1000 SLC | +28.6% |
| 1974 | 3.72 million 1000 SLC | -23.6% |
| 1975 | 3.84 million 1000 SLC | +3.3% |
| 1976 | 2.74 million 1000 SLC | -28.6% |
| 1977 | 3.23 million 1000 SLC | +17.8% |
| 1978 | 4.45 million 1000 SLC | +37.7% |
| 1979 | 4.64 million 1000 SLC | +4.3% |
| 1980 | 4.14 million 1000 SLC | -10.7% |
| 1981 | 6.83 million 1000 SLC | +64.9% |
| 1982 | 6.73 million 1000 SLC | -1.5% |
| 1983 | 7.36 million 1000 SLC | +9.4% |
| 1984 | 6.21 million 1000 SLC | -15.7% |
| 1985 | 6.08 million 1000 SLC | -2.1% |
| 1986 | 5.85 million 1000 SLC | -3.8% |
| 1987 | 9.20 million 1000 SLC | +57.3% |
| 1988 | 7.98 million 1000 SLC | -13.2% |
| 1989 | 10.04 million 1000 SLC | +25.8% |
| 1990 | 6.74 million 1000 SLC | -32.9% |
| 1991 | 6.89 million 1000 SLC | +2.2% |
| 1992 | 8.52 million 1000 SLC | +23.7% |
| 1993 | 8.34 million 1000 SLC | -2.1% |
| 1994 | 8.03 million 1000 SLC | -3.7% |
| 1995 | 5.25 million 1000 SLC | -34.7% |
| 1996 | 7.25 million 1000 SLC | +38.3% |
| 1997 | 7.11 million 1000 SLC | -2.0% |
| 1998 | 5.42 million 1000 SLC | -23.7% |
| 1999 | 4.93 million 1000 SLC | -9.2% |
| 2000 | 5.39 million 1000 SLC | +9.4% |
| 2001 | 6.17 million 1000 SLC | +14.6% |
| 2002 | 4.20 million 1000 SLC | -31.9% |
| 2003 | 5.36 million 1000 SLC | +27.5% |
| 2004 | 8.50 million 1000 SLC | +58.6% |
| 2005 | 5.30 million 1000 SLC | -37.7% |
| 2006 | 6.63 million 1000 SLC | +25.2% |
| 2007 | 4.69 million 1000 SLC | -29.3% |
| 2008 | 7.51 million 1000 SLC | +60.1% |
| 2009 | 8.68 million 1000 SLC | +15.5% |
| 2010 | 5.72 million 1000 SLC | -34.1% |
| 2011 | 6.80 million 1000 SLC | +19.0% |
| 2012 | 5.89 million 1000 SLC | -13.5% |
| 2013 | 7.76 million 1000 SLC | +31.8% |
| 2014 | 10.12 million 1000 SLC | +30.4% |
| 2015 | 8.46 million 1000 SLC | -16.4% |
| 2016 | 8.11 million 1000 SLC | -4.2% |
| 2017 | 7.69 million 1000 SLC | -5.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 4.25 million 1000 SLC | 2.95 million 1000 SLC | 6.10 million 1000 SLC | 9 |
| 1970s | 4.13 million 1000 SLC | 2.74 million 1000 SLC | 5.55 million 1000 SLC | 10 |
| 1980s | 7.04 million 1000 SLC | 4.14 million 1000 SLC | 10.04 million 1000 SLC | 10 |
| 1990s | 6.85 million 1000 SLC | 4.93 million 1000 SLC | 8.52 million 1000 SLC | 10 |
| 2000s | 6.24 million 1000 SLC | 4.20 million 1000 SLC | 8.68 million 1000 SLC | 10 |
| 2010s | 7.57 million 1000 SLC | 5.72 million 1000 SLC | 10.12 million 1000 SLC | 8 |
Countries ranked near Hungary
- 1 Serbia 13.91 million 1000 SLC compare
- 2 Russian Federation 9.41 million 1000 SLC compare
- 4 Ukraine 1.73 million 1000 SLC compare
- 5 Albania 1.28 million 1000 SLC compare
- 6 North Macedonia 187,665 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)
- Agriculture share gdp 2.65 (2025)
- Value added in the agricultural sector as of gdp vs gdp per capita 2.65 (2025)
- Agricultural raw materials exports 0.5% (2025)
- Agricultural raw materials imports 0.8% (2025)
Frequently asked questions
- What is sour cherries — gross production value in Hungary?
- Sour cherries — gross production value in Hungary was 7.69 million 1000 SLC in 2017, according to Food and Agriculture Organization of the United Nations.
- What is the highest sour cherries — gross production value recorded in Hungary?
- The highest recorded value was 10.12 million 1000 SLC in 2014.
- What is the lowest sour cherries — gross production value recorded in Hungary?
- The lowest recorded value was 2.74 million 1000 SLC in 1976.
- How does Hungary rank for sour cherries — gross production value?
- Hungary ranks 3rd out of 25 countries with data for 2017.
- Is sour cherries — gross production value rising or falling in Hungary?
- Over the last ten years it is up 63.9%. The long-run trend across the full record is rising.
- Where does this Hungary data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Sour cherries — 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.