Peas, dry — Gross Production Value in Hungary
Hungary: Peas, dry — Gross Production Value was 6.46 million 1000 SLC in 2017. ◆ Volatile
Latest (2017)
6.46 million 1000 SLC
Change on year
up 1.4%
World rank
10th
of 77 countries
All-time high
55.23 million 1000 SLC
in 1989
All-time low
4.10 million 1000 SLC
in 2003
Years of data
57
1961–2017
Peas, dry — Gross Production Value in Hungary, 1961–2017
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 SLC.
Analysis
In 2017, peas, dry — gross production value in Hungary stood at 6.46 million 1000 SLC.
That represents a change of up 1.4% on the previous year and down 6.6% over ten years.
Over the whole period, peas, dry — gross production value in Hungary peaked at 55.23 million 1000 SLC in 1989 and was at its lowest, 4.10 million 1000 SLC, in 2003.
Hungary ranks 10th of 77 countries on this measure, in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Peas, dry — Gross Production Value in Hungary, year by year
| Year | 1000 SLC | Change |
|---|---|---|
| 1961 | 9.70 million 1000 SLC | — |
| 1962 | 12.88 million 1000 SLC | +32.8% |
| 1963 | 14.44 million 1000 SLC | +12.1% |
| 1964 | 10.81 million 1000 SLC | -25.2% |
| 1965 | 17.01 million 1000 SLC | +57.4% |
| 1966 | 14.24 million 1000 SLC | -16.3% |
| 1967 | 17.36 million 1000 SLC | +21.9% |
| 1968 | 9.24 million 1000 SLC | -46.7% |
| 1969 | 16.05 million 1000 SLC | +73.6% |
| 1970 | 14.77 million 1000 SLC | -8.0% |
| 1971 | 14.39 million 1000 SLC | -2.5% |
| 1972 | 11.43 million 1000 SLC | -20.6% |
| 1973 | 9.71 million 1000 SLC | -15.0% |
| 1974 | 17.22 million 1000 SLC | +77.3% |
| 1975 | 15.70 million 1000 SLC | -8.8% |
| 1976 | 17.10 million 1000 SLC | +8.9% |
| 1977 | 13.44 million 1000 SLC | -21.4% |
| 1978 | 16.96 million 1000 SLC | +26.2% |
| 1979 | 8.40 million 1000 SLC | -50.5% |
| 1980 | 16.93 million 1000 SLC | +101.5% |
| 1981 | 13.79 million 1000 SLC | -18.6% |
| 1982 | 14.11 million 1000 SLC | +2.3% |
| 1983 | 15.36 million 1000 SLC | +8.8% |
| 1984 | 24.28 million 1000 SLC | +58.1% |
| 1985 | 22.45 million 1000 SLC | -7.5% |
| 1986 | 25.69 million 1000 SLC | +14.4% |
| 1987 | 30.74 million 1000 SLC | +19.7% |
| 1988 | 46.32 million 1000 SLC | +50.7% |
| 1989 | 55.23 million 1000 SLC | +19.2% |
| 1990 | 41.39 million 1000 SLC | -25.1% |
| 1991 | 36.54 million 1000 SLC | -11.7% |
| 1992 | 32.88 million 1000 SLC | -10.0% |
| 1993 | 19.03 million 1000 SLC | -42.1% |
| 1994 | 18.24 million 1000 SLC | -4.2% |
| 1995 | 19.39 million 1000 SLC | +6.3% |
| 1996 | 13.76 million 1000 SLC | -29.0% |
| 1997 | 15.05 million 1000 SLC | +9.3% |
| 1998 | 17.77 million 1000 SLC | +18.1% |
| 1999 | 14.65 million 1000 SLC | -17.6% |
| 2000 | 6.45 million 1000 SLC | -55.9% |
| 2001 | 8.70 million 1000 SLC | +34.8% |
| 2002 | 6.70 million 1000 SLC | -23.0% |
| 2003 | 4.10 million 1000 SLC | -38.8% |
| 2004 | 8.74 million 1000 SLC | +113.4% |
| 2005 | 6.81 million 1000 SLC | -22.0% |
| 2006 | 6.70 million 1000 SLC | -1.7% |
| 2007 | 6.92 million 1000 SLC | +3.3% |
| 2008 | 6.24 million 1000 SLC | -9.9% |
| 2009 | 4.41 million 1000 SLC | -29.3% |
| 2010 | 4.97 million 1000 SLC | +12.6% |
| 2011 | 5.78 million 1000 SLC | +16.5% |
| 2012 | 5.77 million 1000 SLC | -0.3% |
| 2013 | 6.06 million 1000 SLC | +5.1% |
| 2014 | 6.27 million 1000 SLC | +3.4% |
| 2015 | 8.63 million 1000 SLC | +37.6% |
| 2016 | 6.37 million 1000 SLC | -26.1% |
| 2017 | 6.46 million 1000 SLC | +1.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 13.53 million 1000 SLC | 9.24 million 1000 SLC | 17.36 million 1000 SLC | 9 |
| 1970s | 13.91 million 1000 SLC | 8.40 million 1000 SLC | 17.22 million 1000 SLC | 10 |
| 1980s | 26.49 million 1000 SLC | 13.79 million 1000 SLC | 55.23 million 1000 SLC | 10 |
| 1990s | 22.87 million 1000 SLC | 13.76 million 1000 SLC | 41.39 million 1000 SLC | 10 |
| 2000s | 6.58 million 1000 SLC | 4.10 million 1000 SLC | 8.74 million 1000 SLC | 10 |
| 2010s | 6.29 million 1000 SLC | 4.97 million 1000 SLC | 8.63 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 peas, dry — gross production value in Hungary?
- Peas, dry — gross production value in Hungary was 6.46 million 1000 SLC in 2017, according to Food and Agriculture Organization of the United Nations.
- What is the highest peas, dry — gross production value recorded in Hungary?
- The highest recorded value was 55.23 million 1000 SLC in 1989.
- What is the lowest peas, dry — gross production value recorded in Hungary?
- The lowest recorded value was 4.10 million 1000 SLC in 2003.
- How does Hungary rank for peas, dry — gross production value?
- Hungary ranks 10th out of 77 countries with data for 2017.
- Is peas, dry — gross production value rising or falling in Hungary?
- Over the last ten years it is down 6.6%. 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 Peas, dry — 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.