Cauliflowers and broccoli — Gross Production Index Number in Lithuania
Lithuania: Cauliflowers and broccoli — Gross Production Index Number was 84.54 in 2017. ◆ Volatile
Cauliflowers and broccoli — Gross Production Index Number in Lithuania, 1992–2017
Source: Food and Agriculture Organization of the United Nations.
Analysis
The most recent figure for cauliflowers and broccoli — gross production index number in Lithuania is 84.54, measured in 2017.
Compared with earlier readings it is down 6.6% on the previous year and down 31.2% over ten years.
Over the whole period, cauliflowers and broccoli — gross production index number in Lithuania peaked at 352.47 in 2003 and was at its lowest, 38.7, in 1992.
That places Lithuania 69th out of 89 countries with data for 2017, putting it in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Cauliflowers and broccoli — Gross Production Index Number in Lithuania, year by year
| Year | Value | Change |
|---|---|---|
| 1992 | 38.7 | — |
| 1993 | 44.23 | +14.3% |
| 1994 | 55.29 | +25.0% |
| 1995 | 55.29 | +0.0% |
| 1996 | 55.29 | +0.0% |
| 1997 | 55.29 | +0.0% |
| 1998 | 66.35 | +20.0% |
| 1999 | 44.23 | -33.3% |
| 2000 | 55.29 | +25.0% |
| 2001 | 49.76 | -10.0% |
| 2002 | 82.93 | +66.7% |
| 2003 | 352.47 | +325.0% |
| 2004 | 130.98 | -62.8% |
| 2005 | 174.16 | +33.0% |
| 2006 | 139.5 | -19.9% |
| 2007 | 122.91 | -11.9% |
| 2008 | 120.03 | -2.3% |
| 2009 | 121.08 | +0.9% |
| 2010 | 91.73 | -24.2% |
| 2011 | 121.64 | +32.6% |
| 2012 | 109.92 | -9.6% |
| 2013 | 116.94 | +6.4% |
| 2014 | 106.87 | -8.6% |
| 2015 | 102.62 | -4.0% |
| 2016 | 90.51 | -11.8% |
| 2017 | 84.54 | -6.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 51.83 | 38.7 | 66.35 | 8 |
| 2000s | 134.91 | 49.76 | 352.47 | 10 |
| 2010s | 103.1 | 84.54 | 121.64 | 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 cauliflowers and broccoli — gross production index number in Lithuania?
- Cauliflowers and broccoli — gross production index number in Lithuania was 84.54 in 2017, according to Food and Agriculture Organization of the United Nations.
- What is the highest cauliflowers and broccoli — gross production index number recorded in Lithuania?
- The highest recorded value was 352.47 in 2003.
- What is the lowest cauliflowers and broccoli — gross production index number recorded in Lithuania?
- The lowest recorded value was 38.7 in 1992.
- How does Lithuania rank for cauliflowers and broccoli — gross production index number?
- Lithuania ranks 69th out of 89 countries with data for 2017.
- Is cauliflowers and broccoli — gross production index number rising or falling in Lithuania?
- Over the last ten years it is down 31.2%. 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 Cauliflowers and broccoli — 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.