Cauliflowers and broccoli — Gross Production Value in Hungary
Hungary: Cauliflowers and broccoli — Gross Production Value was 11,482 1000 Int$ in 2017. ▲ Rising
Latest (2017)
11,482 1000 Int$
Change on year
up 33.1%
World rank
40th
of 97 countries
All-time high
15,259 1000 Int$
in 2004
All-time low
5,414 1000 Int$
in 1997
Years of data
57
1961–2017
Cauliflowers and broccoli — Gross Production Value in Hungary, 1961–2017
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 Int$.
Analysis
Hungary recorded 11,482 1000 Int$ for cauliflowers and broccoli — gross production value in 2017.
The figure is up 33.1% on the previous year and up 38.9% over ten years.
Over the whole period, cauliflowers and broccoli — gross production value in Hungary peaked at 15,259 1000 Int$ in 2004 and was at its lowest, 5,414 1000 Int$, in 1997.
That places Hungary 40th out of 97 countries with data for 2017, putting it in the middle of the range.
The long-run direction has been consistently rising across the 57 years of available data.
Cauliflowers and broccoli — Gross Production Value in Hungary, year by year
| Year | 1000 Int$ | Change |
|---|---|---|
| 1961 | 10,362 1000 Int$ | — |
| 1962 | 7,651 1000 Int$ | -26.2% |
| 1963 | 9,448 1000 Int$ | +23.5% |
| 1964 | 9,445 1000 Int$ | -0.0% |
| 1965 | 7,390 1000 Int$ | -21.8% |
| 1966 | 8,192 1000 Int$ | +10.9% |
| 1967 | 6,609 1000 Int$ | -19.3% |
| 1968 | 7,862 1000 Int$ | +19.0% |
| 1969 | 8,889 1000 Int$ | +13.1% |
| 1970 | 9,000 1000 Int$ | +1.2% |
| 1971 | 8,666 1000 Int$ | -3.7% |
| 1972 | 9,654 1000 Int$ | +11.4% |
| 1973 | 6,218 1000 Int$ | -35.6% |
| 1974 | 6,209 1000 Int$ | -0.1% |
| 1975 | 8,690 1000 Int$ | +40.0% |
| 1976 | 9,254 1000 Int$ | +6.5% |
| 1977 | 9,998 1000 Int$ | +8.0% |
| 1978 | 10,294 1000 Int$ | +3.0% |
| 1979 | 10,538 1000 Int$ | +2.4% |
| 1980 | 8,108 1000 Int$ | -23.1% |
| 1981 | 9,856 1000 Int$ | +21.6% |
| 1982 | 7,223 1000 Int$ | -26.7% |
| 1983 | 6,372 1000 Int$ | -11.8% |
| 1984 | 9,528 1000 Int$ | +49.5% |
| 1985 | 8,760 1000 Int$ | -8.1% |
| 1986 | 7,766 1000 Int$ | -11.3% |
| 1987 | 9,932 1000 Int$ | +27.9% |
| 1988 | 10,324 1000 Int$ | +3.9% |
| 1989 | 9,855 1000 Int$ | -4.5% |
| 1990 | 9,386 1000 Int$ | -4.8% |
| 1991 | 8,917 1000 Int$ | -5.0% |
| 1992 | 7,039 1000 Int$ | -21.1% |
| 1993 | 6,570 1000 Int$ | -6.7% |
| 1994 | 7,374 1000 Int$ | +12.2% |
| 1995 | 7,509 1000 Int$ | +1.8% |
| 1996 | 7,978 1000 Int$ | +6.2% |
| 1997 | 5,414 1000 Int$ | -32.1% |
| 1998 | 6,135 1000 Int$ | +13.3% |
| 1999 | 7,100 1000 Int$ | +15.7% |
| 2000 | 6,410 1000 Int$ | -9.7% |
| 2001 | 7,063 1000 Int$ | +10.2% |
| 2002 | 8,082 1000 Int$ | +14.4% |
| 2003 | 10,166 1000 Int$ | +25.8% |
| 2004 | 15,259 1000 Int$ | +50.1% |
| 2005 | 11,520 1000 Int$ | -24.5% |
| 2006 | 13,469 1000 Int$ | +16.9% |
| 2007 | 8,268 1000 Int$ | -38.6% |
| 2008 | 11,800 1000 Int$ | +42.7% |
| 2009 | 12,743 1000 Int$ | +8.0% |
| 2010 | 6,737 1000 Int$ | -47.1% |
| 2011 | 6,503 1000 Int$ | -3.5% |
| 2012 | 7,441 1000 Int$ | +14.4% |
| 2013 | 11,010 1000 Int$ | +48.0% |
| 2014 | 9,334 1000 Int$ | -15.2% |
| 2015 | 8,896 1000 Int$ | -4.7% |
| 2016 | 8,625 1000 Int$ | -3.0% |
| 2017 | 11,482 1000 Int$ | +33.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 8,428 1000 Int$ | 6,609 1000 Int$ | 10,362 1000 Int$ | 9 |
| 1970s | 8,852 1000 Int$ | 6,209 1000 Int$ | 10,538 1000 Int$ | 10 |
| 1980s | 8,772 1000 Int$ | 6,372 1000 Int$ | 10,324 1000 Int$ | 10 |
| 1990s | 7,342 1000 Int$ | 5,414 1000 Int$ | 9,386 1000 Int$ | 10 |
| 2000s | 10,478 1000 Int$ | 6,410 1000 Int$ | 15,259 1000 Int$ | 10 |
| 2010s | 8,754 1000 Int$ | 6,503 1000 Int$ | 11,482 1000 Int$ | 8 |
Countries ranked near Hungary
- 37 Saudi Arabia 12,341 1000 Int$
- 38 Philippines 12,247 1000 Int$ compare
- 39 Israel 11,488 1000 Int$ compare
- 41 Russian Federation 11,203 1000 Int$ compare
- 42 Colombia 10,387 1000 Int$ compare
- 43 Lebanon 9,271 1000 Int$ compare
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 cauliflowers and broccoli — gross production value in Hungary?
- Cauliflowers and broccoli — gross production value in Hungary was 11,482 1000 Int$ in 2017, according to Food and Agriculture Organization of the United Nations.
- What is the highest cauliflowers and broccoli — gross production value recorded in Hungary?
- The highest recorded value was 15,259 1000 Int$ in 2004.
- What is the lowest cauliflowers and broccoli — gross production value recorded in Hungary?
- The lowest recorded value was 5,414 1000 Int$ in 1997.
- How does Hungary rank for cauliflowers and broccoli — gross production value?
- Hungary ranks 40th out of 97 countries with data for 2017.
- Is cauliflowers and broccoli — gross production value rising or falling in Hungary?
- Over the last ten years it is up 38.9%. 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 Cauliflowers and broccoli — 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.