Watermelons — Gross Production Value in Hungary
Hungary: Watermelons — Gross Production Value was 42,175 1000 Int$ in 2017. ▲ Rising
Latest (2017)
42,175 1000 Int$
Change on year
down 1.5%
World rank
42nd
of 118 countries
All-time high
58,195 1000 Int$
in 2004
All-time low
14,200 1000 Int$
in 1992
Years of data
57
1961–2017
Watermelons — Gross Production Value in Hungary, 1961–2017
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 Int$.
Analysis
Hungary recorded 42,175 1000 Int$ for watermelons — gross production value in 2017.
Compared with earlier readings it is down 1.5% on the previous year and up 11.0% over ten years.
Over the whole period, watermelons — gross production value in Hungary peaked at 58,195 1000 Int$ in 2004 and was at its lowest, 14,200 1000 Int$, in 1992.
Hungary ranks 42nd of 118 countries on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 57 years of available data.
Watermelons — Gross Production Value in Hungary, year by year
| Year | 1000 Int$ | Change |
|---|---|---|
| 1961 | 19,901 1000 Int$ | — |
| 1962 | 21,684 1000 Int$ | +9.0% |
| 1963 | 43,040 1000 Int$ | +98.5% |
| 1964 | 34,428 1000 Int$ | -20.0% |
| 1965 | 22,831 1000 Int$ | -33.7% |
| 1966 | 23,850 1000 Int$ | +4.5% |
| 1967 | 35,821 1000 Int$ | +50.2% |
| 1968 | 23,467 1000 Int$ | -34.5% |
| 1969 | 29,413 1000 Int$ | +25.3% |
| 1970 | 18,459 1000 Int$ | -37.2% |
| 1971 | 23,172 1000 Int$ | +25.5% |
| 1972 | 26,310 1000 Int$ | +13.5% |
| 1973 | 27,841 1000 Int$ | +5.8% |
| 1974 | 24,152 1000 Int$ | -13.3% |
| 1975 | 24,189 1000 Int$ | +0.2% |
| 1976 | 21,753 1000 Int$ | -10.1% |
| 1977 | 35,885 1000 Int$ | +65.0% |
| 1978 | 28,461 1000 Int$ | -20.7% |
| 1979 | 51,694 1000 Int$ | +81.6% |
| 1980 | 32,895 1000 Int$ | -36.4% |
| 1981 | 42,176 1000 Int$ | +28.2% |
| 1982 | 43,702 1000 Int$ | +3.6% |
| 1983 | 37,785 1000 Int$ | -13.5% |
| 1984 | 27,758 1000 Int$ | -26.5% |
| 1985 | 32,485 1000 Int$ | +17.0% |
| 1986 | 34,651 1000 Int$ | +6.7% |
| 1987 | 34,840 1000 Int$ | +0.5% |
| 1988 | 28,982 1000 Int$ | -16.8% |
| 1989 | 25,087 1000 Int$ | -13.4% |
| 1990 | 20,083 1000 Int$ | -19.9% |
| 1991 | 19,125 1000 Int$ | -4.8% |
| 1992 | 14,200 1000 Int$ | -25.8% |
| 1993 | 15,341 1000 Int$ | +8.0% |
| 1994 | 14,231 1000 Int$ | -7.2% |
| 1995 | 21,116 1000 Int$ | +48.4% |
| 1996 | 21,332 1000 Int$ | +1.0% |
| 1997 | 17,560 1000 Int$ | -17.7% |
| 1998 | 26,068 1000 Int$ | +48.5% |
| 1999 | 28,967 1000 Int$ | +11.1% |
| 2000 | 30,948 1000 Int$ | +6.8% |
| 2001 | 30,201 1000 Int$ | -2.4% |
| 2002 | 38,412 1000 Int$ | +27.2% |
| 2003 | 52,969 1000 Int$ | +37.9% |
| 2004 | 58,195 1000 Int$ | +9.9% |
| 2005 | 49,694 1000 Int$ | -14.6% |
| 2006 | 38,345 1000 Int$ | -22.8% |
| 2007 | 38,003 1000 Int$ | -0.9% |
| 2008 | 52,059 1000 Int$ | +37.0% |
| 2009 | 51,141 1000 Int$ | -1.8% |
| 2010 | 32,733 1000 Int$ | -36.0% |
| 2011 | 47,080 1000 Int$ | +43.8% |
| 2012 | 42,391 1000 Int$ | -10.0% |
| 2013 | 44,184 1000 Int$ | +4.2% |
| 2014 | 50,697 1000 Int$ | +14.7% |
| 2015 | 45,474 1000 Int$ | -10.3% |
| 2016 | 42,823 1000 Int$ | -5.8% |
| 2017 | 42,175 1000 Int$ | -1.5% |
Hungary compared with similar countries
- Hungary's 42,175 1000 Int$ is above the median for high income countries, which is 5,429 1000 Int$, 7.8× the median. (35 countries reporting)
- Hungary's 42,175 1000 Int$ is above the median for Europe & Central Asia, which is 42,032 1000 Int$, 1.0× the median. (26 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 28,271 1000 Int$ | 19,901 1000 Int$ | 43,040 1000 Int$ | 9 |
| 1970s | 28,192 1000 Int$ | 18,459 1000 Int$ | 51,694 1000 Int$ | 10 |
| 1980s | 34,036 1000 Int$ | 25,087 1000 Int$ | 43,702 1000 Int$ | 10 |
| 1990s | 19,802 1000 Int$ | 14,200 1000 Int$ | 28,967 1000 Int$ | 10 |
| 2000s | 43,997 1000 Int$ | 30,201 1000 Int$ | 58,195 1000 Int$ | 10 |
| 2010s | 43,445 1000 Int$ | 32,733 1000 Int$ | 50,697 1000 Int$ | 8 |
Countries ranked near Hungary
More environment data for Hungary
- Historical exposure to drought — Land soil moisture anomaly -5.55 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -5.61 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.63 °C (2025)
- Temperature change 2.01 °C (2025)
- Wood-based panels — Production, annual growth rate 3.71 % change on previous year (2024)
- Total greenhouse gas emissions excluding LULUCF (Mt CO2e), annual -0.8159 % change on previous year (2024)
- Total greenhouse gas emissions excluding LULUCF (Mt CO2e), per unit 0 Mt CO2e per US$ of GDP (2024)
- Total greenhouse gas emissions excluding LULUCF (Mt CO2e), per capita 0 Mt CO2e per person (2024)
- Methane (CH4) emissions from Agriculture (Mt CO2e), annual growth rate -0.4968 % change on previous year (2024)
Frequently asked questions
- What is watermelons — gross production value in Hungary?
- Watermelons — gross production value in Hungary was 42,175 1000 Int$ in 2017, according to Food and Agriculture Organization of the United Nations.
- What is the highest watermelons — gross production value recorded in Hungary?
- The highest recorded value was 58,195 1000 Int$ in 2004.
- What is the lowest watermelons — gross production value recorded in Hungary?
- The lowest recorded value was 14,200 1000 Int$ in 1992.
- How does Hungary rank for watermelons — gross production value?
- Hungary ranks 42nd out of 118 countries with data for 2017.
- Is watermelons — gross production value rising or falling in Hungary?
- Over the last ten years it is up 11.0%. 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 Watermelons — Gross Production Value (constant 2014-2016 thousand I$). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 57 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
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.