Beans, dry — Gross Production Value (constant 2014-2016 thousand I$) in Hungary
Hungary: Beans, dry — Gross Production Value (constant 2014-2016 thousand I$) was 0.0143 1000 Int$ per square kilometre in 2017. ◆ Volatile
Beans, dry — Gross Production Value (constant 2014-2016 thousand I$) in Hungary, 1961–2017
Source: Statizoid (derived). Measured in 1000 Int$ per square kilometre.
Analysis
In 2017, beans, dry — gross production value (constant 2014-2016 thousand i$) in Hungary stood at 0.0143 1000 Int$ per square kilometre.
That represents a change of up 7.0% on the previous year and up 96.1% over ten years.
Over the whole period, beans, dry — gross production value (constant 2014-2016 thousand i$) in Hungary peaked at 0.2621 1000 Int$ per square kilometre in 1962 and was at its lowest, 0.0046 1000 Int$ per square kilometre, in 2010.
That places Hungary 88th out of 112 countries with data for 2017, putting it in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Beans, dry — Gross Production Value (constant 2014-2016 thousand I$) in Hungary, year by year
| Year | 1000 Int$ per square kilometre | Change |
|---|---|---|
| 1961 | 0.1458 1000 Int$ per square kilometre | — |
| 1962 | 0.2621 1000 Int$ per square kilometre | +79.7% |
| 1963 | 0.1693 1000 Int$ per square kilometre | -35.4% |
| 1964 | 0.1577 1000 Int$ per square kilometre | -6.9% |
| 1965 | 0.1782 1000 Int$ per square kilometre | +13.0% |
| 1966 | 0.2051 1000 Int$ per square kilometre | +15.1% |
| 1967 | 0.1404 1000 Int$ per square kilometre | -31.5% |
| 1968 | 0.0829 1000 Int$ per square kilometre | -41.0% |
| 1969 | 0.1078 1000 Int$ per square kilometre | +30.0% |
| 1970 | 0.0961 1000 Int$ per square kilometre | -10.9% |
| 1971 | 0.1091 1000 Int$ per square kilometre | +13.6% |
| 1972 | 0.0966 1000 Int$ per square kilometre | -11.5% |
| 1973 | 0.1292 1000 Int$ per square kilometre | +33.7% |
| 1974 | 0.1166 1000 Int$ per square kilometre | -9.8% |
| 1975 | 0.1529 1000 Int$ per square kilometre | +31.2% |
| 1976 | 0.0665 1000 Int$ per square kilometre | -56.5% |
| 1977 | 0.1066 1000 Int$ per square kilometre | +60.3% |
| 1978 | 0.1223 1000 Int$ per square kilometre | +14.8% |
| 1979 | 0.1482 1000 Int$ per square kilometre | +21.2% |
| 1980 | 0.1459 1000 Int$ per square kilometre | -1.5% |
| 1981 | 0.1174 1000 Int$ per square kilometre | -19.5% |
| 1982 | 0.1436 1000 Int$ per square kilometre | +22.3% |
| 1983 | 0.0851 1000 Int$ per square kilometre | -40.8% |
| 1984 | 0.0787 1000 Int$ per square kilometre | -7.5% |
| 1985 | 0.0993 1000 Int$ per square kilometre | +26.1% |
| 1986 | 0.1293 1000 Int$ per square kilometre | +30.2% |
| 1987 | 0.1109 1000 Int$ per square kilometre | -14.2% |
| 1988 | 0.0612 1000 Int$ per square kilometre | -44.8% |
| 1989 | 0.0424 1000 Int$ per square kilometre | -30.7% |
| 1990 | 0.0301 1000 Int$ per square kilometre | -29.1% |
| 1991 | 0.0532 1000 Int$ per square kilometre | +76.7% |
| 1992 | 0.0312 1000 Int$ per square kilometre | -41.3% |
| 1993 | 0.0325 1000 Int$ per square kilometre | +4.1% |
| 1994 | 0.0377 1000 Int$ per square kilometre | +15.9% |
| 1995 | 0.0382 1000 Int$ per square kilometre | +1.4% |
| 1996 | 0.0439 1000 Int$ per square kilometre | +15.1% |
| 1997 | 0.0414 1000 Int$ per square kilometre | -5.7% |
| 1998 | 0.0517 1000 Int$ per square kilometre | +24.7% |
| 1999 | 0.0492 1000 Int$ per square kilometre | -4.7% |
| 2000 | 0.033 1000 Int$ per square kilometre | -33.0% |
| 2001 | 0.0301 1000 Int$ per square kilometre | -8.8% |
| 2002 | 0.028 1000 Int$ per square kilometre | -6.9% |
| 2003 | 0.0188 1000 Int$ per square kilometre | -33.0% |
| 2004 | 0.0159 1000 Int$ per square kilometre | -15.4% |
| 2005 | 0.0204 1000 Int$ per square kilometre | +28.5% |
| 2006 | 0.0172 1000 Int$ per square kilometre | -15.5% |
| 2007 | 0.0073 1000 Int$ per square kilometre | -57.6% |
| 2008 | 0.014 1000 Int$ per square kilometre | +92.2% |
| 2009 | 0.0079 1000 Int$ per square kilometre | -43.8% |
| 2010 | 0.0046 1000 Int$ per square kilometre | -41.9% |
| 2011 | 0.0105 1000 Int$ per square kilometre | +129.2% |
| 2012 | 0.0089 1000 Int$ per square kilometre | -15.0% |
| 2013 | 0.0077 1000 Int$ per square kilometre | -14.1% |
| 2014 | 0.0128 1000 Int$ per square kilometre | +66.7% |
| 2015 | 0.0123 1000 Int$ per square kilometre | -4.1% |
| 2016 | 0.0134 1000 Int$ per square kilometre | +9.1% |
| 2017 | 0.0143 1000 Int$ per square kilometre | +7.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 0.161 1000 Int$ per square kilometre | 0.0829 1000 Int$ per square kilometre | 0.2621 1000 Int$ per square kilometre | 9 |
| 1970s | 0.1144 1000 Int$ per square kilometre | 0.0665 1000 Int$ per square kilometre | 0.1529 1000 Int$ per square kilometre | 10 |
| 1980s | 0.1014 1000 Int$ per square kilometre | 0.0424 1000 Int$ per square kilometre | 0.1459 1000 Int$ per square kilometre | 10 |
| 1990s | 0.0409 1000 Int$ per square kilometre | 0.0301 1000 Int$ per square kilometre | 0.0532 1000 Int$ per square kilometre | 10 |
| 2000s | 0.0193 1000 Int$ per square kilometre | 0.0073 1000 Int$ per square kilometre | 0.033 1000 Int$ per square kilometre | 10 |
| 2010s | 0.0105 1000 Int$ per square kilometre | 0.0046 1000 Int$ per square kilometre | 0.0143 1000 Int$ per square kilometre | 8 |
Countries ranked near Hungary
- 85 Germany 0.017 1000 Int$ per square kilometre compare
- 86 France 0.0156 1000 Int$ per square kilometre compare
- 87 Montenegro 0.0144 1000 Int$ per square kilometre compare
- 89 Belgium 0.014 1000 Int$ per square kilometre compare
- 90 Uruguay 0.0133 1000 Int$ per square kilometre compare
- 91 Niger 0.0112 1000 Int$ per square kilometre 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 beans, dry — gross production value (constant 2014-2016 thousand i$) in Hungary?
- Beans, dry — gross production value (constant 2014-2016 thousand i$) in Hungary was 0.0143 1000 Int$ per square kilometre in 2017, according to Statizoid (derived).
- What is the highest beans, dry — gross production value (constant 2014-2016 thousand i$) recorded in Hungary?
- The highest recorded value was 0.2621 1000 Int$ per square kilometre in 1962.
- What is the lowest beans, dry — gross production value (constant 2014-2016 thousand i$) recorded in Hungary?
- The lowest recorded value was 0.0046 1000 Int$ per square kilometre in 2010.
- How does Hungary rank for beans, dry — gross production value (constant 2014-2016 thousand i$)?
- Hungary ranks 88th out of 112 countries with data for 2017.
- Is beans, dry — gross production value (constant 2014-2016 thousand i$) rising or falling in Hungary?
- Over the last ten years it is up 96.1%. The long-run trend across the full record is volatile.
- Where does this Hungary data come from?
- The figures come from Statizoid (derived), published as part of Beans, dry — Gross Production Value (constant 2014-2016 thousand I$), per square kilometre. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 57 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
Beans, dry — Gross Production Value (constant 2014-2016 thousand I$) divided by Land area (sq. km), matched on country and year. Neither publisher issues this ratio as a series; it is computed here from both.
Beans, dry — Gross Production Value (constant 2014-2016 thousand I$) ÷ Land area (sq. km)
Computed from
- Beans, dry — Gross Production Value Food and Agriculture Organization of the United Nations
- Land area FAOSTAT, Food and Agriculture Organization of the United Nations (FAO)
Statizoid computes this series; the underlying measurements belong to the publishers named above. The arithmetic is applied to every country and year where both inputs report, and nothing is estimated unless the page says so.
About this data
Beans, dry — Gross Production Value (constant 2014-2016 thousand I$) divided by Land area (sq. km), matched on country and year. Neither publisher issues this ratio as a series; it is computed here from both.