Sugar beet — Gross Production Index Number in Lithuania
Lithuania: Sugar beet — Gross Production Index Number was 111.82 in 2017. ▲ Rising
Sugar beet — Gross Production Index Number in Lithuania, 1992–2017
Source: Food and Agriculture Organization of the United Nations.
Analysis
The most recent figure for sugar beet — gross production index number in Lithuania is 111.82, measured in 2017.
That represents a change of up 2.5% on the previous year and up 19.6% over ten years.
Over the whole period, sugar beet — gross production index number in Lithuania peaked at 122.97 in 2002 and was at its lowest, 39.62, in 2008.
Lithuania ranks 22nd of 50 countries on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 26 years of available data.
Sugar beet — Gross Production Index Number in Lithuania, year by year
| Year | Value | Change |
|---|---|---|
| 1992 | 72.62 | — |
| 1993 | 99.94 | +37.6% |
| 1994 | 53.93 | -46.0% |
| 1995 | 80.91 | +50.0% |
| 1996 | 92.95 | +14.9% |
| 1997 | 117.07 | +25.9% |
| 1998 | 110.91 | -5.3% |
| 1999 | 101.65 | -8.3% |
| 2000 | 103.01 | +1.3% |
| 2001 | 102.87 | -0.1% |
| 2002 | 122.97 | +19.5% |
| 2003 | 114.21 | -7.1% |
| 2004 | 105.74 | -7.4% |
| 2005 | 93.3 | -11.8% |
| 2006 | 83.79 | -10.2% |
| 2007 | 93.47 | +11.6% |
| 2008 | 39.62 | -57.6% |
| 2009 | 79.69 | +101.1% |
| 2010 | 82.58 | +3.6% |
| 2011 | 102.57 | +24.2% |
| 2012 | 117.2 | +14.3% |
| 2013 | 113.01 | -3.6% |
| 2014 | 118.53 | +4.9% |
| 2015 | 72.39 | -38.9% |
| 2016 | 109.08 | +50.7% |
| 2017 | 111.82 | +2.5% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 91.25 | 53.93 | 117.07 | 8 |
| 2000s | 93.87 | 39.62 | 122.97 | 10 |
| 2010s | 103.4 | 72.39 | 118.53 | 8 |
Countries ranked near Lithuania
- 19 Russian Federation 113.06 compare
- 20 Sweden 112.78 compare
- 21 Tunisia 112.55 compare
- 23 Afghanistan 111 compare
- 24 United Kingdom of Great Britain and Northern Ireland 110.54 compare
- 25 Czechia 110.32 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)
- 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 sugar beet — gross production index number in Lithuania?
- Sugar beet — gross production index number in Lithuania was 111.82 in 2017, according to Food and Agriculture Organization of the United Nations.
- What is the highest sugar beet — gross production index number recorded in Lithuania?
- The highest recorded value was 122.97 in 2002.
- What is the lowest sugar beet — gross production index number recorded in Lithuania?
- The lowest recorded value was 39.62 in 2008.
- How does Lithuania rank for sugar beet — gross production index number?
- Lithuania ranks 22nd out of 50 countries with data for 2017.
- Is sugar beet — gross production index number rising or falling in Lithuania?
- Over the last ten years it is up 19.6%. The long-run trend across the full record is rising.
- Where does this Lithuania data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Sugar beet — 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.