Rye — Gross per capita Production Index Number in Lithuania
Lithuania: Rye — Gross per capita Production Index Number was 71.76 in 2017. ▼ Falling
Rye — Gross per capita Production Index Number in Lithuania, 1992–2017
Source: Food and Agriculture Organization of the United Nations.
Analysis
In 2017, rye — gross per capita production index number in Lithuania stood at 71.76. That is the lowest value across all 26 years on record.
Compared with earlier readings it is down 17.4% on the previous year and down 56.4% over ten years.
Over the whole period, rye — gross per capita production index number in Lithuania peaked at 379.74 in 1993 and was at its lowest, 71.76, in 2017.
Lithuania ranks 45th of 59 countries on this measure, in the bottom quarter.
The long-run direction has been consistently falling across the 26 years of available data.
Rye — Gross per capita Production Index Number in Lithuania, year by year
| Year | Value | Change |
|---|---|---|
| 1992 | 298.12 | — |
| 1993 | 379.74 | +27.4% |
| 1994 | 275.7 | -27.4% |
| 1995 | 212.4 | -23.0% |
| 1996 | 256.5 | +20.8% |
| 1997 | 313.7 | +22.3% |
| 1998 | 316.42 | +0.9% |
| 1999 | 238.42 | -24.7% |
| 2000 | 286.4 | +20.1% |
| 2001 | 214.22 | -25.2% |
| 2002 | 159.1 | -25.7% |
| 2003 | 138.66 | -12.8% |
| 2004 | 134.05 | -3.3% |
| 2005 | 104.95 | -21.7% |
| 2006 | 88.61 | -15.6% |
| 2007 | 164.59 | +85.7% |
| 2008 | 206.24 | +25.3% |
| 2009 | 211.59 | +2.6% |
| 2010 | 90.42 | -57.3% |
| 2011 | 90.35 | -0.1% |
| 2012 | 168.71 | +86.7% |
| 2013 | 105.01 | -37.8% |
| 2014 | 93.62 | -10.8% |
| 2015 | 119.47 | +27.6% |
| 2016 | 86.9 | -27.3% |
| 2017 | 71.76 | -17.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 286.38 | 212.4 | 379.74 | 8 |
| 2000s | 170.84 | 88.61 | 286.4 | 10 |
| 2010s | 103.28 | 71.76 | 168.71 | 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)
- Agriculture share gdp 2.27 (2025)
- Value added in the agricultural sector as of gdp vs gdp per capita 2.27 (2025)
- Agricultural raw materials exports 2.4% (2025)
- Agricultural raw materials imports 1.7% (2025)
Frequently asked questions
- What is rye — gross per capita production index number in Lithuania?
- Rye — gross per capita production index number in Lithuania was 71.76 in 2017, according to Food and Agriculture Organization of the United Nations.
- What is the highest rye — gross per capita production index number recorded in Lithuania?
- The highest recorded value was 379.74 in 1993.
- What is the lowest rye — gross per capita production index number recorded in Lithuania?
- The lowest recorded value was 71.76 in 2017.
- How does Lithuania rank for rye — gross per capita production index number?
- Lithuania ranks 45th out of 59 countries with data for 2017.
- Is rye — gross per capita production index number rising or falling in Lithuania?
- Over the last ten years it is down 56.4%. 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 Rye — 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.