Peaches and nectarines — Gross Production Value in Hungary
Hungary: Peaches and nectarines — Gross Production Value was 2.85 million 1000 SLC in 2017. ▼ Falling
Latest (2017)
2.85 million 1000 SLC
Change on year
down 6.5%
World rank
13th
of 65 countries
All-time high
9.81 million 1000 SLC
in 1972
All-time low
1.26 million 1000 SLC
in 2012
Years of data
57
1961–2017
Peaches and nectarines — Gross Production Value in Hungary, 1961–2017
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 SLC.
Analysis
In 2017, peaches and nectarines — gross production value in Hungary stood at 2.85 million 1000 SLC.
That represents a change of down 6.5% on the previous year and down 6.3% over ten years.
Over the whole period, peaches and nectarines — gross production value in Hungary peaked at 9.81 million 1000 SLC in 1972 and was at its lowest, 1.26 million 1000 SLC, in 2012.
That places Hungary 13th out of 65 countries with data for 2017, putting it in the top quarter.
The long-run direction has been consistently falling across the 57 years of available data.
Peaches and nectarines — Gross Production Value in Hungary, year by year
| Year | 1000 SLC | Change |
|---|---|---|
| 1961 | 3.27 million 1000 SLC | — |
| 1962 | 3.16 million 1000 SLC | -3.4% |
| 1963 | 2.99 million 1000 SLC | -5.2% |
| 1964 | 2.85 million 1000 SLC | -4.7% |
| 1965 | 2.86 million 1000 SLC | +0.4% |
| 1966 | 5.09 million 1000 SLC | +77.8% |
| 1967 | 6.27 million 1000 SLC | +23.1% |
| 1968 | 6.04 million 1000 SLC | -3.6% |
| 1969 | 9.31 million 1000 SLC | +54.2% |
| 1970 | 8.44 million 1000 SLC | -9.3% |
| 1971 | 8.79 million 1000 SLC | +4.1% |
| 1972 | 9.81 million 1000 SLC | +11.6% |
| 1973 | 8.89 million 1000 SLC | -9.3% |
| 1974 | 9.40 million 1000 SLC | +5.7% |
| 1975 | 5.85 million 1000 SLC | -37.8% |
| 1976 | 7.71 million 1000 SLC | +31.8% |
| 1977 | 5.66 million 1000 SLC | -26.7% |
| 1978 | 7.35 million 1000 SLC | +29.9% |
| 1979 | 5.39 million 1000 SLC | -26.6% |
| 1980 | 7.32 million 1000 SLC | +35.7% |
| 1981 | 5.96 million 1000 SLC | -18.5% |
| 1982 | 7.53 million 1000 SLC | +26.2% |
| 1983 | 6.62 million 1000 SLC | -12.1% |
| 1984 | 5.73 million 1000 SLC | -13.3% |
| 1985 | 6.02 million 1000 SLC | +5.0% |
| 1986 | 6.71 million 1000 SLC | +11.3% |
| 1987 | 3.72 million 1000 SLC | -44.5% |
| 1988 | 4.40 million 1000 SLC | +18.1% |
| 1989 | 5.93 million 1000 SLC | +34.8% |
| 1990 | 5.36 million 1000 SLC | -9.6% |
| 1991 | 4.54 million 1000 SLC | -15.2% |
| 1992 | 4.51 million 1000 SLC | -0.7% |
| 1993 | 4.64 million 1000 SLC | +2.9% |
| 1994 | 3.71 million 1000 SLC | -20.2% |
| 1995 | 3.16 million 1000 SLC | -14.8% |
| 1996 | 5.62 million 1000 SLC | +78.2% |
| 1997 | 4.01 million 1000 SLC | -28.8% |
| 1998 | 4.82 million 1000 SLC | +20.3% |
| 1999 | 5.28 million 1000 SLC | +9.6% |
| 2000 | 4.77 million 1000 SLC | -9.6% |
| 2001 | 4.22 million 1000 SLC | -11.6% |
| 2002 | 1.65 million 1000 SLC | -60.9% |
| 2003 | 2.38 million 1000 SLC | +44.0% |
| 2004 | 6.15 million 1000 SLC | +158.6% |
| 2005 | 3.60 million 1000 SLC | -41.4% |
| 2006 | 5.03 million 1000 SLC | +39.6% |
| 2007 | 3.04 million 1000 SLC | -39.6% |
| 2008 | 3.54 million 1000 SLC | +16.4% |
| 2009 | 4.57 million 1000 SLC | +29.2% |
| 2010 | 4.03 million 1000 SLC | -11.7% |
| 2011 | 3.21 million 1000 SLC | -20.4% |
| 2012 | 1.26 million 1000 SLC | -60.8% |
| 2013 | 3.40 million 1000 SLC | +170.1% |
| 2014 | 2.98 million 1000 SLC | -12.3% |
| 2015 | 2.90 million 1000 SLC | -2.7% |
| 2016 | 3.04 million 1000 SLC | +5.1% |
| 2017 | 2.85 million 1000 SLC | -6.5% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 4.65 million 1000 SLC | 2.85 million 1000 SLC | 9.31 million 1000 SLC | 9 |
| 1970s | 7.73 million 1000 SLC | 5.39 million 1000 SLC | 9.81 million 1000 SLC | 10 |
| 1980s | 5.99 million 1000 SLC | 3.72 million 1000 SLC | 7.53 million 1000 SLC | 10 |
| 1990s | 4.56 million 1000 SLC | 3.16 million 1000 SLC | 5.62 million 1000 SLC | 10 |
| 2000s | 3.89 million 1000 SLC | 1.65 million 1000 SLC | 6.15 million 1000 SLC | 10 |
| 2010s | 2.96 million 1000 SLC | 1.26 million 1000 SLC | 4.03 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)
- 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 peaches and nectarines — gross production value in Hungary?
- Peaches and nectarines — gross production value in Hungary was 2.85 million 1000 SLC in 2017, according to Food and Agriculture Organization of the United Nations.
- What is the highest peaches and nectarines — gross production value recorded in Hungary?
- The highest recorded value was 9.81 million 1000 SLC in 1972.
- What is the lowest peaches and nectarines — gross production value recorded in Hungary?
- The lowest recorded value was 1.26 million 1000 SLC in 2012.
- How does Hungary rank for peaches and nectarines — gross production value?
- Hungary ranks 13th out of 65 countries with data for 2017.
- Is peaches and nectarines — gross production value rising or falling in Hungary?
- Over the last ten years it is down 6.3%. The long-run trend across the full record is falling.
- Where does this Hungary data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Peaches and nectarines — 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.