Barley — Gross per capita Production Index Number in Lithuania
Lithuania: Barley — Gross per capita Production Index Number was 67.49 in 2017. ▼ Falling
Barley — Gross per capita Production Index Number in Lithuania, 1992–2017
Source: Food and Agriculture Organization of the United Nations.
Analysis
The most recent figure for barley — gross per capita production index number in Lithuania is 67.49, measured in 2017.
That represents a change of down 3.3% on the previous year and down 41.4% over ten years.
Over the whole period, barley — gross per capita production index number in Lithuania peaked at 127.58 in 2014 and was at its lowest, 65.23, in 2010.
Lithuania ranks 74th of 95 countries on this measure, in the bottom quarter.
The long-run direction has been consistently falling across the 26 years of available data.
Barley — Gross per capita Production Index Number in Lithuania, year by year
| Year | Value | Change |
|---|---|---|
| 1992 | 94.9 | — |
| 1993 | 120.59 | +27.1% |
| 1994 | 109.62 | -9.1% |
| 1995 | 90.31 | -17.6% |
| 1996 | 120.09 | +33.0% |
| 1997 | 122.71 | +2.2% |
| 1998 | 114.36 | -6.8% |
| 1999 | 77.34 | -32.4% |
| 2000 | 90.23 | +16.7% |
| 2001 | 82.11 | -9.0% |
| 2002 | 92.93 | +13.2% |
| 2003 | 96.8 | +4.2% |
| 2004 | 93.55 | -3.4% |
| 2005 | 104.87 | +12.1% |
| 2006 | 83.58 | -20.3% |
| 2007 | 115.26 | +37.9% |
| 2008 | 111.47 | -3.3% |
| 2009 | 99.68 | -10.6% |
| 2010 | 65.23 | -34.6% |
| 2011 | 92.17 | +41.3% |
| 2012 | 91.22 | -1.0% |
| 2013 | 85.16 | -6.6% |
| 2014 | 127.58 | +49.8% |
| 2015 | 102.61 | -19.6% |
| 2016 | 69.82 | -32.0% |
| 2017 | 67.49 | -3.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 106.24 | 77.34 | 122.71 | 8 |
| 2000s | 97.05 | 82.11 | 115.26 | 10 |
| 2010s | 87.66 | 65.23 | 127.58 | 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 barley — gross per capita production index number in Lithuania?
- Barley — gross per capita production index number in Lithuania was 67.49 in 2017, according to Food and Agriculture Organization of the United Nations.
- What is the highest barley — gross per capita production index number recorded in Lithuania?
- The highest recorded value was 127.58 in 2014.
- What is the lowest barley — gross per capita production index number recorded in Lithuania?
- The lowest recorded value was 65.23 in 2010.
- How does Lithuania rank for barley — gross per capita production index number?
- Lithuania ranks 74th out of 95 countries with data for 2017.
- Is barley — gross per capita production index number rising or falling in Lithuania?
- Over the last ten years it is down 41.4%. 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 Barley — Gross per capita 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.