Gooseberries — Gross per capita Production Index Number in Lithuania
Lithuania: Gooseberries — Gross per capita Production Index Number was 123.52 in 2015. ▼ Falling
Gooseberries — Gross per capita Production Index Number in Lithuania, 1993–2015
Source: Food and Agriculture Organization of the United Nations.
Analysis
In 2015, gooseberries — gross per capita production index number in Lithuania stood at 123.52.
Compared with earlier readings it is up 61.5% on the previous year and down 16.5% over ten years.
Over the whole period, gooseberries — gross per capita production index number in Lithuania peaked at 202.34 in 1998 and was at its lowest, 60.66, in 2013.
That places Lithuania 5th out of 20 countries with data for 2015, putting it in the top quarter.
The long-run direction has been consistently falling across the 23 years of available data.
Gooseberries — Gross per capita Production Index Number in Lithuania, year by year
| Year | Value | Change |
|---|---|---|
| 1993 | 97.53 | — |
| 1994 | 98.2 | +0.7% |
| 1995 | 148.44 | +51.2% |
| 1996 | 149.56 | +0.8% |
| 1997 | 200.89 | +34.3% |
| 1998 | 202.34 | +0.7% |
| 1999 | 101.88 | -49.6% |
| 2000 | 102.54 | +0.6% |
| 2001 | 103.35 | +0.8% |
| 2002 | 156.32 | +51.3% |
| 2003 | 127.69 | -18.3% |
| 2004 | 107.89 | -15.5% |
| 2005 | 148.01 | +37.2% |
| 2006 | 187.16 | +26.5% |
| 2007 | 119.96 | -35.9% |
| 2008 | 151.49 | +26.3% |
| 2009 | 196.86 | +29.9% |
| 2010 | 173.8 | -11.7% |
| 2011 | 177.76 | +2.3% |
| 2012 | 120.11 | -32.4% |
| 2013 | 60.66 | -49.5% |
| 2014 | 76.48 | +26.1% |
| 2015 | 123.52 | +61.5% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 142.69 | 97.53 | 202.34 | 7 |
| 2000s | 140.13 | 102.54 | 196.86 | 10 |
| 2010s | 122.06 | 60.66 | 177.76 | 6 |
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 gooseberries — gross per capita production index number in Lithuania?
- Gooseberries — gross per capita production index number in Lithuania was 123.52 in 2015, according to Food and Agriculture Organization of the United Nations.
- What is the highest gooseberries — gross per capita production index number recorded in Lithuania?
- The highest recorded value was 202.34 in 1998.
- What is the lowest gooseberries — gross per capita production index number recorded in Lithuania?
- The lowest recorded value was 60.66 in 2013.
- How does Lithuania rank for gooseberries — gross per capita production index number?
- Lithuania ranks 5th out of 20 countries with data for 2015.
- Is gooseberries — gross per capita production index number rising or falling in Lithuania?
- Over the last ten years it is down 16.5%. The long-run trend across the full record is falling.
- Where does this Lithuania data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Gooseberries — Gross per capita Production Index Number (2014-2016 = 100). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 23 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.