Watermelons — Gross per capita Production Index Number in Austria
Austria: Watermelons — Gross per capita Production Index Number was 114.76 in 2017. ▲ Rising
Watermelons — Gross per capita Production Index Number in Austria, 1998–2017
Source: Food and Agriculture Organization of the United Nations.
Analysis
Austria recorded 114.76 for watermelons — gross per capita production index number in 2017. That is the highest value across all 20 years on record.
The figure is up 28.7% on the previous year and up 77.3% over ten years.
Over the whole period, watermelons — gross per capita production index number in Austria peaked at 114.76 in 2017 and was at its lowest, 20.14, in 1998.
That places Austria 37th out of 109 countries with data for 2017, putting it in the middle of the range.
The long-run direction has been consistently rising across the 20 years of available data.
Watermelons — Gross per capita Production Index Number in Austria, year by year
| Year | Value | Change |
|---|---|---|
| 1998 | 20.14 | — |
| 1999 | 36.86 | +83.0% |
| 2000 | 56.82 | +54.2% |
| 2001 | 49.96 | -12.1% |
| 2002 | 74.9 | +49.9% |
| 2003 | 78.48 | +4.8% |
| 2004 | 74.55 | -5.0% |
| 2005 | 82.02 | +10.0% |
| 2006 | 60.56 | -26.2% |
| 2007 | 64.72 | +6.9% |
| 2008 | 78.68 | +21.6% |
| 2009 | 50.87 | -35.3% |
| 2010 | 72.84 | +43.2% |
| 2011 | 82.33 | +13.0% |
| 2012 | 104.19 | +26.6% |
| 2013 | 101.29 | -2.8% |
| 2014 | 99.67 | -1.6% |
| 2015 | 111.16 | +11.5% |
| 2016 | 89.17 | -19.8% |
| 2017 | 114.76 | +28.7% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 28.5 | 20.14 | 36.86 | 2 |
| 2000s | 67.16 | 49.96 | 82.02 | 10 |
| 2010s | 96.93 | 72.84 | 114.76 | 8 |
Countries ranked near Austria
More environment data for Austria
- Historical exposure to drought — Land soil moisture anomaly -1.98 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -3.4 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.529 °C (2025)
- Temperature change 2.17 °C (2025)
- Printing and writing papers — Import quantity, annual growth rate -3.29 % change on previous year (2024)
- Printing and writing papers — Import quantity, per capita 0.0256 t per person (2024)
- Printing and writing papers — Import value, annual growth rate -11.03 % change on previous year (2024)
- Printing and writing papers — Import value, per capita 0.0295 1000 USD per person (2024)
- Other paper and paperboard — Import quantity, annual growth rate 3.31 % change on previous year (2024)
Frequently asked questions
- What is watermelons — gross per capita production index number in Austria?
- Watermelons — gross per capita production index number in Austria was 114.76 in 2017, according to Food and Agriculture Organization of the United Nations.
- What is the highest watermelons — gross per capita production index number recorded in Austria?
- The highest recorded value was 114.76 in 2017.
- What is the lowest watermelons — gross per capita production index number recorded in Austria?
- The lowest recorded value was 20.14 in 1998.
- How does Austria rank for watermelons — gross per capita production index number?
- Austria ranks 37th out of 109 countries with data for 2017.
- Is watermelons — gross per capita production index number rising or falling in Austria?
- Over the last ten years it is up 77.3%. The long-run trend across the full record is rising.
- Where does this Austria data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Watermelons — Gross per capita Production Index Number (2014-2016 = 100). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 20 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.