Plums and sloes — Gross Production Value in Hungary
Hungary: Plums and sloes — Gross Production Value was 2.79 million 1000 SLC in 2017. ◆ Volatile
Latest (2017)
2.79 million 1000 SLC
Change on year
down 9.0%
World rank
13th
of 75 countries
All-time high
20.98 million 1000 SLC
in 1961
All-time low
1.98 million 1000 SLC
in 2007
Years of data
57
1961–2017
Plums and sloes — Gross Production Value in Hungary, 1961–2017
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 SLC.
Analysis
The most recent figure for plums and sloes — gross production value in Hungary is 2.79 million 1000 SLC, measured in 2017.
The figure is down 9.0% on the previous year and up 40.7% over ten years.
Over the whole period, plums and sloes — gross production value in Hungary peaked at 20.98 million 1000 SLC in 1961 and was at its lowest, 1.98 million 1000 SLC, in 2007.
That places Hungary 13th out of 75 countries with data for 2017, putting it in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Plums and sloes — Gross Production Value in Hungary, year by year
| Year | 1000 SLC | Change |
|---|---|---|
| 1961 | 20.98 million 1000 SLC | — |
| 1962 | 13.83 million 1000 SLC | -34.1% |
| 1963 | 12.40 million 1000 SLC | -10.4% |
| 1964 | 15.62 million 1000 SLC | +26.0% |
| 1965 | 15.65 million 1000 SLC | +0.2% |
| 1966 | 16.79 million 1000 SLC | +7.3% |
| 1967 | 13.20 million 1000 SLC | -21.4% |
| 1968 | 12.05 million 1000 SLC | -8.7% |
| 1969 | 14.88 million 1000 SLC | +23.5% |
| 1970 | 14.61 million 1000 SLC | -1.8% |
| 1971 | 12.30 million 1000 SLC | -15.8% |
| 1972 | 16.21 million 1000 SLC | +31.7% |
| 1973 | 14.64 million 1000 SLC | -9.7% |
| 1974 | 14.01 million 1000 SLC | -4.3% |
| 1975 | 10.03 million 1000 SLC | -28.4% |
| 1976 | 9.82 million 1000 SLC | -2.0% |
| 1977 | 10.25 million 1000 SLC | +4.4% |
| 1978 | 14.54 million 1000 SLC | +41.8% |
| 1979 | 7.50 million 1000 SLC | -48.4% |
| 1980 | 14.23 million 1000 SLC | +89.8% |
| 1981 | 9.76 million 1000 SLC | -31.4% |
| 1982 | 12.61 million 1000 SLC | +29.2% |
| 1983 | 11.04 million 1000 SLC | -12.4% |
| 1984 | 10.51 million 1000 SLC | -4.8% |
| 1985 | 10.59 million 1000 SLC | +0.7% |
| 1986 | 12.52 million 1000 SLC | +18.3% |
| 1987 | 14.33 million 1000 SLC | +14.4% |
| 1988 | 11.77 million 1000 SLC | -17.9% |
| 1989 | 11.54 million 1000 SLC | -1.9% |
| 1990 | 9.82 million 1000 SLC | -14.9% |
| 1991 | 9.05 million 1000 SLC | -7.9% |
| 1992 | 9.16 million 1000 SLC | +1.2% |
| 1993 | 7.96 million 1000 SLC | -13.1% |
| 1994 | 7.50 million 1000 SLC | -5.7% |
| 1995 | 6.77 million 1000 SLC | -9.8% |
| 1996 | 7.38 million 1000 SLC | +9.1% |
| 1997 | 7.92 million 1000 SLC | +7.3% |
| 1998 | 6.69 million 1000 SLC | -15.5% |
| 1999 | 6.31 million 1000 SLC | -5.7% |
| 2000 | 5.89 million 1000 SLC | -6.7% |
| 2001 | 5.79 million 1000 SLC | -1.6% |
| 2002 | 3.18 million 1000 SLC | -45.1% |
| 2003 | 2.93 million 1000 SLC | -7.9% |
| 2004 | 4.32 million 1000 SLC | +47.5% |
| 2005 | 2.32 million 1000 SLC | -46.3% |
| 2006 | 4.17 million 1000 SLC | +79.6% |
| 2007 | 1.98 million 1000 SLC | -52.4% |
| 2008 | 3.61 million 1000 SLC | +81.9% |
| 2009 | 3.32 million 1000 SLC | -8.0% |
| 2010 | 4.57 million 1000 SLC | +37.6% |
| 2011 | 2.41 million 1000 SLC | -47.3% |
| 2012 | 2.79 million 1000 SLC | +15.9% |
| 2013 | 3.10 million 1000 SLC | +10.9% |
| 2014 | 2.91 million 1000 SLC | -6.0% |
| 2015 | 2.97 million 1000 SLC | +2.0% |
| 2016 | 3.07 million 1000 SLC | +3.3% |
| 2017 | 2.79 million 1000 SLC | -9.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 15.04 million 1000 SLC | 12.05 million 1000 SLC | 20.98 million 1000 SLC | 9 |
| 1970s | 12.39 million 1000 SLC | 7.50 million 1000 SLC | 16.21 million 1000 SLC | 10 |
| 1980s | 11.89 million 1000 SLC | 9.76 million 1000 SLC | 14.33 million 1000 SLC | 10 |
| 1990s | 7.86 million 1000 SLC | 6.31 million 1000 SLC | 9.82 million 1000 SLC | 10 |
| 2000s | 3.75 million 1000 SLC | 1.98 million 1000 SLC | 5.89 million 1000 SLC | 10 |
| 2010s | 3.08 million 1000 SLC | 2.41 million 1000 SLC | 4.57 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 plums and sloes — gross production value in Hungary?
- Plums and sloes — gross production value in Hungary was 2.79 million 1000 SLC in 2017, according to Food and Agriculture Organization of the United Nations.
- What is the highest plums and sloes — gross production value recorded in Hungary?
- The highest recorded value was 20.98 million 1000 SLC in 1961.
- What is the lowest plums and sloes — gross production value recorded in Hungary?
- The lowest recorded value was 1.98 million 1000 SLC in 2007.
- How does Hungary rank for plums and sloes — gross production value?
- Hungary ranks 13th out of 75 countries with data for 2017.
- Is plums and sloes — gross production value rising or falling in Hungary?
- Over the last ten years it is up 40.7%. 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 Plums and sloes — Gross Production Value (constant 2014-2016 thousand SLC). 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.