Plums and sloes — Gross Production Index Number in Lithuania
Lithuania: Plums and sloes — Gross Production Index Number was 44.09 in 2017. ◆ Volatile
Plums and sloes — Gross Production Index Number in Lithuania, 1992–2017
Source: Food and Agriculture Organization of the United Nations.
Analysis
Lithuania recorded 44.09 for plums and sloes — gross production index number in 2017. That is the lowest value across all 26 years on record.
That represents a change of down 50.8% on the previous year and down 40.9% over ten years.
Over the whole period, plums and sloes — gross production index number in Lithuania peaked at 1,024 in 1997 and was at its lowest, 44.09, in 2017.
Lithuania ranks 79th of 82 countries on this measure, in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Plums and sloes — Gross Production Index Number in Lithuania, year by year
| Year | Value | Change |
|---|---|---|
| 1992 | 538.99 | — |
| 1993 | 646.78 | +20.0% |
| 1994 | 215.59 | -66.7% |
| 1995 | 161.7 | -25.0% |
| 1996 | 808.48 | +400.0% |
| 1997 | 1,024 | +26.7% |
| 1998 | 646.78 | -36.8% |
| 1999 | 237.15 | -63.3% |
| 2000 | 226.37 | -4.5% |
| 2001 | 323.39 | +42.9% |
| 2002 | 129.36 | -60.0% |
| 2003 | 157.06 | +21.4% |
| 2004 | 162.99 | +3.8% |
| 2005 | 182.82 | +12.2% |
| 2006 | 594.39 | +225.1% |
| 2007 | 74.6 | -87.4% |
| 2008 | 150.7 | +102.0% |
| 2009 | 278.22 | +84.6% |
| 2010 | 108.77 | -60.9% |
| 2011 | 138.52 | +27.4% |
| 2012 | 102.73 | -25.8% |
| 2013 | 119.22 | +16.1% |
| 2014 | 122.57 | +2.8% |
| 2015 | 87.75 | -28.4% |
| 2016 | 89.69 | +2.2% |
| 2017 | 44.09 | -50.8% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 534.94 | 161.7 | 1,024 | 8 |
| 2000s | 227.99 | 74.6 | 594.39 | 10 |
| 2010s | 101.67 | 44.09 | 138.52 | 8 |
Countries ranked near Lithuania
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 plums and sloes — gross production index number in Lithuania?
- Plums and sloes — gross production index number in Lithuania was 44.09 in 2017, according to Food and Agriculture Organization of the United Nations.
- What is the highest plums and sloes — gross production index number recorded in Lithuania?
- The highest recorded value was 1,024 in 1997.
- What is the lowest plums and sloes — gross production index number recorded in Lithuania?
- The lowest recorded value was 44.09 in 2017.
- How does Lithuania rank for plums and sloes — gross production index number?
- Lithuania ranks 79th out of 82 countries with data for 2017.
- Is plums and sloes — gross production index number rising or falling in Lithuania?
- Over the last ten years it is down 40.9%. The long-run trend across the full record is volatile.
- Where does this Lithuania data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Plums and sloes — Gross Production Index Number (2014-2016 = 100). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 26 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
The FAO indices of agricultural production show the relative level of the aggregate volume of agricultural production for each year in comparison with the base period 2014-2016. Indices for meat production are computed based on data on production from indigenous animals.