Triticale — Gross Production Index Number in Poland
Poland: Triticale — Gross Production Index Number was 101.58 in 2017. ▲ Rising
Triticale — Gross Production Index Number in Poland, 1985–2017
Source: Food and Agriculture Organization of the United Nations.
Analysis
Poland recorded 101.58 for triticale — gross production index number in 2017.
That represents a change of up 4.1% on the previous year and up 28.1% over ten years.
Over the whole period, triticale — gross production index number in Poland peaked at 102.1 in 2015 and was at its lowest, 1.05, in 1985.
Poland ranks 10th of 41 countries on this measure, in the top quarter.
The long-run direction has been consistently rising across the 33 years of available data.
Triticale — Gross Production Index Number in Poland, year by year
| Year | Value | Change |
|---|---|---|
| 1985 | 1.05 | — |
| 1986 | 4.49 | +327.6% |
| 1987 | 19.45 | +333.2% |
| 1988 | 33.1 | +70.2% |
| 1989 | 45.97 | +38.9% |
| 1990 | 52.03 | +13.2% |
| 1991 | 46.83 | -10.0% |
| 1992 | 32.71 | -30.2% |
| 1993 | 36.23 | +10.8% |
| 1994 | 31.19 | -13.9% |
| 1995 | 39.17 | +25.6% |
| 1996 | 40.74 | +4.0% |
| 1997 | 35.2 | -13.6% |
| 1998 | 39.36 | +11.8% |
| 1999 | 40.1 | +1.9% |
| 2000 | 36.35 | -9.4% |
| 2001 | 51.59 | +41.9% |
| 2002 | 58.28 | +13.0% |
| 2003 | 53.76 | -7.8% |
| 2004 | 71.2 | +32.4% |
| 2005 | 74.63 | +4.8% |
| 2006 | 61.13 | -18.1% |
| 2007 | 79.3 | +29.7% |
| 2008 | 85.28 | +7.5% |
| 2009 | 100.09 | +17.4% |
| 2010 | 87.5 | -12.6% |
| 2011 | 80.99 | -7.4% |
| 2012 | 64.04 | -20.9% |
| 2013 | 81.71 | +27.6% |
| 2014 | 100.33 | +22.8% |
| 2015 | 102.1 | +1.8% |
| 2016 | 97.57 | -4.4% |
| 2017 | 101.58 | +4.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1980s | 20.81 | 1.05 | 45.97 | 5 |
| 1990s | 39.36 | 31.19 | 52.03 | 10 |
| 2000s | 67.16 | 36.35 | 100.09 | 10 |
| 2010s | 89.48 | 64.04 | 102.1 | 8 |
Countries ranked near Poland
More agriculture & rural data for Poland
- Agriculture, forestry, and fishing, value added (current US$), annual 8.98 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0245 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 697.32 current US$ per person (2025)
- Rural population, annual growth rate -0.6232 % change on previous year (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0.3991 units per person (2025)
- Agriculture share gdp 2.45 (2025)
- Value added in the agricultural sector as of gdp vs gdp per capita 2.45 (2025)
- Agricultural raw materials exports 1.0% (2024)
- Agricultural raw materials imports 1.2% (2024)
Frequently asked questions
- What is triticale — gross production index number in Poland?
- Triticale — gross production index number in Poland was 101.58 in 2017, according to Food and Agriculture Organization of the United Nations.
- What is the highest triticale — gross production index number recorded in Poland?
- The highest recorded value was 102.1 in 2015.
- What is the lowest triticale — gross production index number recorded in Poland?
- The lowest recorded value was 1.05 in 1985.
- How does Poland rank for triticale — gross production index number?
- Poland ranks 10th out of 41 countries with data for 2017.
- Is triticale — gross production index number rising or falling in Poland?
- Over the last ten years it is up 28.1%. The long-run trend across the full record is rising.
- Where does this Poland data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Triticale — Gross Production Index Number (2014-2016 = 100). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 33 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.