Cantaloupes and other melons — Gross Production Value in Hungary
Hungary: Cantaloupes and other melons — Gross Production Value was 2.05 million 1000 SLC in 2017. ◆ Volatile
Latest (2017)
2.05 million 1000 SLC
Change on year
down 16.4%
World rank
20th
of 67 countries
All-time high
4.86 million 1000 SLC
in 1963
All-time low
489,342 1000 SLC
in 1992
Years of data
57
1961–2017
Cantaloupes and other melons — Gross Production Value in Hungary, 1961–2017
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 SLC.
Analysis
Hungary recorded 2.05 million 1000 SLC for cantaloupes and other melons — gross production value in 2017.
The figure is down 16.4% on the previous year and up 18.6% over ten years.
Over the whole period, cantaloupes and other melons — gross production value in Hungary peaked at 4.86 million 1000 SLC in 1963 and was at its lowest, 489,342 1000 SLC, in 1992.
That places Hungary 20th out of 67 countries with data for 2017, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Cantaloupes and other melons — Gross Production Value in Hungary, year by year
| Year | 1000 SLC | Change |
|---|---|---|
| 1961 | 2.95 million 1000 SLC | — |
| 1962 | 3.18 million 1000 SLC | +7.6% |
| 1963 | 4.86 million 1000 SLC | +53.0% |
| 1964 | 4.00 million 1000 SLC | -17.7% |
| 1965 | 2.78 million 1000 SLC | -30.4% |
| 1966 | 2.64 million 1000 SLC | -5.1% |
| 1967 | 3.55 million 1000 SLC | +34.4% |
| 1968 | 2.13 million 1000 SLC | -40.1% |
| 1969 | 2.78 million 1000 SLC | +30.4% |
| 1970 | 1.70 million 1000 SLC | -38.7% |
| 1971 | 2.04 million 1000 SLC | +20.1% |
| 1972 | 2.02 million 1000 SLC | -0.9% |
| 1973 | 1.49 million 1000 SLC | -26.2% |
| 1974 | 1.24 million 1000 SLC | -16.7% |
| 1975 | 2.23 million 1000 SLC | +79.2% |
| 1976 | 1.08 million 1000 SLC | -51.3% |
| 1977 | 2.16 million 1000 SLC | +99.0% |
| 1978 | 970,521 1000 SLC | -55.0% |
| 1979 | 1.75 million 1000 SLC | +80.2% |
| 1980 | 1.44 million 1000 SLC | -17.9% |
| 1981 | 1.69 million 1000 SLC | +17.4% |
| 1982 | 1.53 million 1000 SLC | -9.2% |
| 1983 | 1.26 million 1000 SLC | -18.0% |
| 1984 | 889,269 1000 SLC | -29.2% |
| 1985 | 892,071 1000 SLC | +0.3% |
| 1986 | 984,165 1000 SLC | +10.3% |
| 1987 | 1.42 million 1000 SLC | +44.1% |
| 1988 | 1.46 million 1000 SLC | +3.2% |
| 1989 | 931,905 1000 SLC | -36.3% |
| 1990 | 572,543 1000 SLC | -38.6% |
| 1991 | 549,763 1000 SLC | -4.0% |
| 1992 | 489,342 1000 SLC | -11.0% |
| 1993 | 655,623 1000 SLC | +34.0% |
| 1994 | 679,864 1000 SLC | +3.7% |
| 1995 | 962,969 1000 SLC | +41.6% |
| 1996 | 777,806 1000 SLC | -19.2% |
| 1997 | 690,950 1000 SLC | -11.2% |
| 1998 | 871,605 1000 SLC | +26.1% |
| 1999 | 938,727 1000 SLC | +7.7% |
| 2000 | 724,571 1000 SLC | -22.8% |
| 2001 | 1.09 million 1000 SLC | +50.2% |
| 2002 | 1.45 million 1000 SLC | +33.5% |
| 2003 | 1.46 million 1000 SLC | +0.7% |
| 2004 | 1.79 million 1000 SLC | +22.4% |
| 2005 | 1.84 million 1000 SLC | +2.9% |
| 2006 | 1.67 million 1000 SLC | -9.5% |
| 2007 | 1.73 million 1000 SLC | +3.8% |
| 2008 | 1.72 million 1000 SLC | -0.3% |
| 2009 | 1.50 million 1000 SLC | -13.2% |
| 2010 | 1.05 million 1000 SLC | -30.0% |
| 2011 | 1.10 million 1000 SLC | +5.1% |
| 2012 | 1.43 million 1000 SLC | +30.1% |
| 2013 | 2.72 million 1000 SLC | +90.3% |
| 2014 | 1.48 million 1000 SLC | -45.6% |
| 2015 | 1.94 million 1000 SLC | +31.1% |
| 2016 | 2.46 million 1000 SLC | +26.5% |
| 2017 | 2.05 million 1000 SLC | -16.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 3.21 million 1000 SLC | 2.13 million 1000 SLC | 4.86 million 1000 SLC | 9 |
| 1970s | 1.67 million 1000 SLC | 970,521 1000 SLC | 2.23 million 1000 SLC | 10 |
| 1980s | 1.25 million 1000 SLC | 889,269 1000 SLC | 1.69 million 1000 SLC | 10 |
| 1990s | 718,919 1000 SLC | 489,342 1000 SLC | 962,969 1000 SLC | 10 |
| 2000s | 1.50 million 1000 SLC | 724,571 1000 SLC | 1.84 million 1000 SLC | 10 |
| 2010s | 1.78 million 1000 SLC | 1.05 million 1000 SLC | 2.72 million 1000 SLC | 8 |
Countries ranked near Hungary
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 cantaloupes and other melons — gross production value in Hungary?
- Cantaloupes and other melons — gross production value in Hungary was 2.05 million 1000 SLC in 2017, according to Food and Agriculture Organization of the United Nations.
- What is the highest cantaloupes and other melons — gross production value recorded in Hungary?
- The highest recorded value was 4.86 million 1000 SLC in 1963.
- What is the lowest cantaloupes and other melons — gross production value recorded in Hungary?
- The lowest recorded value was 489,342 1000 SLC in 1992.
- How does Hungary rank for cantaloupes and other melons — gross production value?
- Hungary ranks 20th out of 67 countries with data for 2017.
- Is cantaloupes and other melons — gross production value rising or falling in Hungary?
- Over the last ten years it is up 18.6%. 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 Cantaloupes and other melons — Gross Production Value (constant 2014-2016 thousand SLC). Statizoid updates them automatically from the source API.
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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.