Triticale — Gross per capita Production Index Number in Slovenia
Slovenia: Triticale — Gross per capita Production Index Number was 104.52 in 2017. ◆ Volatile
Triticale — Gross per capita Production Index Number in Slovenia, 1992–2017
Source: Food and Agriculture Organization of the United Nations.
Analysis
In 2017, triticale — gross per capita production index number in Slovenia stood at 104.52.
Compared with earlier readings it is down 7.3% on the previous year and up 86.1% over ten years.
Over the whole period, triticale — gross per capita production index number in Slovenia peaked at 112.76 in 2016 and was at its lowest, 0.39, in 1992.
That places Slovenia 9th out of 41 countries with data for 2017, putting it in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Triticale — Gross per capita Production Index Number in Slovenia, year by year
| Year | Value | Change |
|---|---|---|
| 1992 | 0.39 | — |
| 1993 | 0.62 | +59.0% |
| 1994 | 3.82 | +516.1% |
| 1995 | 6.47 | +69.4% |
| 1996 | 5.55 | -14.2% |
| 1997 | 7.25 | +30.6% |
| 1998 | 7.78 | +7.3% |
| 1999 | 12.07 | +55.1% |
| 2000 | 13.68 | +13.3% |
| 2001 | 20.24 | +48.0% |
| 2002 | 31.01 | +53.2% |
| 2003 | 25.96 | -16.3% |
| 2004 | 41.95 | +61.6% |
| 2005 | 36.95 | -11.9% |
| 2006 | 51.38 | +39.1% |
| 2007 | 56.17 | +9.3% |
| 2008 | 61.57 | +9.6% |
| 2009 | 62.51 | +1.5% |
| 2010 | 64.7 | +3.5% |
| 2011 | 67.78 | +4.8% |
| 2012 | 72.89 | +7.5% |
| 2013 | 57.8 | -20.7% |
| 2014 | 91.68 | +58.6% |
| 2015 | 95.56 | +4.2% |
| 2016 | 112.76 | +18.0% |
| 2017 | 104.52 | -7.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 5.49 | 0.39 | 12.07 | 8 |
| 2000s | 40.14 | 13.68 | 62.51 | 10 |
| 2010s | 83.46 | 57.8 | 112.76 | 8 |
Countries ranked near Slovenia
More agriculture & rural data for Slovenia
- Agriculture, forestry, and fishing, value added (current US$), annual 16.03 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0163 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 610.78 current US$ per person (2025)
- Rural population, annual growth rate -0.3588 % change on previous year (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0.4401 units per person (2025)
- Share of GDP from agriculture 1.6% (2025)
- Agriculture as a share of GDP vs. GDP per capita 1.6% (2025)
- Agricultural raw materials exports 1.1% (2024)
- Agricultural raw materials imports 1.2% (2024)
Frequently asked questions
- What is triticale — gross per capita production index number in Slovenia?
- Triticale — gross per capita production index number in Slovenia was 104.52 in 2017, according to Food and Agriculture Organization of the United Nations.
- What is the highest triticale — gross per capita production index number recorded in Slovenia?
- The highest recorded value was 112.76 in 2016.
- What is the lowest triticale — gross per capita production index number recorded in Slovenia?
- The lowest recorded value was 0.39 in 1992.
- How does Slovenia rank for triticale — gross per capita production index number?
- Slovenia ranks 9th out of 41 countries with data for 2017.
- Is triticale — gross per capita production index number rising or falling in Slovenia?
- Over the last ten years it is up 86.1%. The long-run trend across the full record is volatile.
- Where does this Slovenia data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Triticale — 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.