Beans, dry — Gross Production Value (constant 2014-2016 thousand I$) in Lithuania
Lithuania: Beans, dry — Gross Production Value (constant 2014-2016 thousand I$) was 2.8 1000 Int$ per square kilometre in 2017. ◆ Volatile
Beans, dry — Gross Production Value (constant 2014-2016 thousand I$) in Lithuania, 1992–2017
Source: Statizoid (derived). Measured in 1000 Int$ per square kilometre.
Analysis
The most recent figure for beans, dry — gross production value (constant 2014-2016 thousand i$) in Lithuania is 2.8 1000 Int$ per square kilometre, measured in 2017. That is the highest value across all 26 years on record.
That represents a change of up 9.8% on the previous year and up 12,002.7% over ten years.
Over the whole period, beans, dry — gross production value (constant 2014-2016 thousand i$) in Lithuania peaked at 2.8 1000 Int$ per square kilometre in 2017 and was at its lowest, 0.0021 1000 Int$ per square kilometre, in 1992.
That places Lithuania 7th out of 112 countries with data for 2017, putting it in the top 10%.
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$) in Lithuania, year by year
| Year | 1000 Int$ per square kilometre | Change |
|---|---|---|
| 1992 | 0.0021 1000 Int$ per square kilometre | — |
| 1993 | 0.0055 1000 Int$ per square kilometre | +163.8% |
| 1994 | 0.0158 1000 Int$ per square kilometre | +188.9% |
| 1995 | 0.0243 1000 Int$ per square kilometre | +53.8% |
| 1996 | 0.0486 1000 Int$ per square kilometre | +100.1% |
| 1997 | 0.0608 1000 Int$ per square kilometre | +25.0% |
| 1998 | 0.0669 1000 Int$ per square kilometre | +10.0% |
| 1999 | 0.0231 1000 Int$ per square kilometre | -65.5% |
| 2000 | 0.0328 1000 Int$ per square kilometre | +42.1% |
| 2001 | 0.0499 1000 Int$ per square kilometre | +51.8% |
| 2002 | 0.0486 1000 Int$ per square kilometre | -2.4% |
| 2003 | 0.0547 1000 Int$ per square kilometre | +12.5% |
| 2004 | 0.0645 1000 Int$ per square kilometre | +17.8% |
| 2005 | 0.0705 1000 Int$ per square kilometre | +9.4% |
| 2006 | 0.0316 1000 Int$ per square kilometre | -55.2% |
| 2007 | 0.0231 1000 Int$ per square kilometre | -26.9% |
| 2008 | 0.0414 1000 Int$ per square kilometre | +79.0% |
| 2009 | 0.0438 1000 Int$ per square kilometre | +5.9% |
| 2010 | 0.0426 1000 Int$ per square kilometre | -2.8% |
| 2011 | 0.09 1000 Int$ per square kilometre | +111.4% |
| 2012 | 0.1253 1000 Int$ per square kilometre | +39.2% |
| 2013 | 0.2043 1000 Int$ per square kilometre | +63.1% |
| 2014 | 0.7604 1000 Int$ per square kilometre | +272.2% |
| 2015 | 2.34 1000 Int$ per square kilometre | +208.0% |
| 2016 | 2.55 1000 Int$ per square kilometre | +8.7% |
| 2017 | 2.8 1000 Int$ per square kilometre | +9.8% |
Biggest year-on-year movements
Years where Beans, dry — Gross Production Value (constant 2014-2016 thousand I$) in Lithuania changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 2014 | +272.2% | 0.2043 1000 Int$ per square kilometre | 0.7604 1000 Int$ per square kilometre |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 0.0309 1000 Int$ per square kilometre | 0.0021 1000 Int$ per square kilometre | 0.0669 1000 Int$ per square kilometre | 8 |
| 2000s | 0.0461 1000 Int$ per square kilometre | 0.0231 1000 Int$ per square kilometre | 0.0705 1000 Int$ per square kilometre | 10 |
| 2010s | 1.11 1000 Int$ per square kilometre | 0.0426 1000 Int$ per square kilometre | 2.8 1000 Int$ per square kilometre | 8 |
Countries ranked near Lithuania
- 4 Togo 3.14 1000 Int$ per square kilometre compare
- 5 Myanmar 3.13 1000 Int$ per square kilometre compare
- 6 Uganda 2.91 1000 Int$ per square kilometre compare
- 8 Haiti 2.26 1000 Int$ per square kilometre compare
- 9 India 2.09 1000 Int$ per square kilometre compare
- 10 Malawi 1.9 1000 Int$ per square kilometre compare
More agriculture & rural data for Lithuania
- Agriculture, forestry, and fishing, value added (current US$), annual 4.69 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0227 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 748.66 current US$ per person (2025)
- Rural population, annual growth rate -0.7947 % change on previous year (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0.3092 units per person (2025)
- Share of GDP from agriculture 2.3% (2025)
- Agriculture as a share of GDP vs. GDP per capita 2.3% (2025)
- Agricultural raw materials exports 2.4% (2025)
- Agricultural raw materials imports 1.7% (2025)
Frequently asked questions
- What is beans, dry — gross production value (constant 2014-2016 thousand i$) in Lithuania?
- Beans, dry — gross production value (constant 2014-2016 thousand i$) in Lithuania was 2.8 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$) recorded in Lithuania?
- The highest recorded value was 2.8 1000 Int$ per square kilometre in 2017.
- What is the lowest beans, dry — gross production value (constant 2014-2016 thousand i$) recorded in Lithuania?
- The lowest recorded value was 0.0021 1000 Int$ per square kilometre in 1992.
- How does Lithuania rank for beans, dry — gross production value (constant 2014-2016 thousand i$)?
- Lithuania ranks 7th out of 112 countries with data for 2017.
- Is beans, dry — gross production value (constant 2014-2016 thousand i$) rising or falling in Lithuania?
- Over the last ten years it is up 12,002.7%. The long-run trend across the full record is volatile.
- Where does this Lithuania data come from?
- The figures come from Statizoid (derived), published as part of Beans, dry — Gross Production Value (constant 2014-2016 thousand I$), per square kilometre. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 26 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
Beans, dry — Gross Production Value (constant 2014-2016 thousand I$) 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.