Hungary vs Paraguay: Watermelons — Gross per capita Production Index Number
Hungary
91.53
in 2017
Paraguay
89.77
in 2024
Hungary rank
67th
Paraguay rank
69th
Watermelons — Gross per capita Production Index Number over time
- Hungary
- Paraguay
How they compare
Hungary currently reports 91.53 against 89.77 in Paraguay, a difference of 1.76.
The two have swapped places 4 times across 57 shared years of data; in 1961 it was Paraguay ahead.
Hungary ranks 67th and Paraguay ranks 69th of 109 countries.
Paraguay has averaged higher in every one of the 6 decades both report.
Head to head by decade
| Decade | Hungary | Paraguay | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 59.15 | 139.59 | 80.44 | Paraguay |
| 1970s | 56.9 | 131.73 | 74.83 | Paraguay |
| 1980s | 68.37 | 179.42 | 111.05 | Paraguay |
| 1990s | 40.79 | 127.86 | 87.07 | Paraguay |
| 2000s | 92.71 | 112.39 | 19.68 | Paraguay |
| 2010s | 93.42 | 102.95 | 9.53 | Paraguay |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, Hungary or Paraguay?
- Hungary, at 91.53 against 89.77 in Paraguay as of 2017.
- What is the difference in watermelons — gross per capita production index number between Hungary and Paraguay?
- 1.76, with Hungary ahead.
- How many years of comparable data are there for Hungary and Paraguay?
- 57 years are reported by both, from 1961 to 2017.
- How do Hungary and Paraguay rank globally for watermelons — gross per capita production index number?
- Hungary ranks 67th and Paraguay ranks 69th of 109 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Watermelons — Gross per capita Production Index Number (2014-2016 = 100). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
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.