Azerbaijan vs Paraguay: Watermelons — Gross per capita Production Index Number
Azerbaijan
92.49
in 2024
Paraguay
89.77
in 2024
Azerbaijan rank
66th
Paraguay rank
69th
Watermelons — Gross per capita Production Index Number over time
- Azerbaijan
- Paraguay
How they compare
Azerbaijan currently reports 92.49 against 89.77 in Paraguay, a difference of 2.72.
The two have swapped places 5 times across 31 shared years of data; in 1994 it was Paraguay ahead.
Azerbaijan ranks 66th and Paraguay ranks 69th of 109 countries.
Across the 4 decades both report, Azerbaijan averaged higher in 1 and Paraguay in 3.
Head to head by decade
| Decade | Azerbaijan | Paraguay | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 28.36 | 119.78 | 91.41 | Paraguay |
| 2000s | 109.48 | 112.39 | 2.92 | Paraguay |
| 2010s | 97.62 | 101.68 | 4.06 | Paraguay |
| 2020s | 97.94 | 92.12 | 5.81 | Azerbaijan |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, Azerbaijan or Paraguay?
- Azerbaijan, at 92.49 against 89.77 in Paraguay as of 2024.
- What is the difference in watermelons — gross per capita production index number between Azerbaijan and Paraguay?
- 2.72, with Azerbaijan ahead.
- How many years of comparable data are there for Azerbaijan and Paraguay?
- 31 years are reported by both, from 1994 to 2024.
- How do Azerbaijan and Paraguay rank globally for watermelons — gross per capita production index number?
- Azerbaijan ranks 66th 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.