Cook Islands vs Paraguay: Watermelons — Gross Production Index Number
Cook Islands
100.74
in 2024
Paraguay
101
in 2024
Cook Islands rank
66th
Paraguay rank
65th
Watermelons — Gross Production Index Number over time
- Cook Islands
- Paraguay
How they compare
Paraguay currently reports 101 against 100.74 in Cook Islands, a difference of 0.26.
The two have swapped places 8 times across 64 shared years of data; in 1961 it was Paraguay ahead.
Cook Islands ranks 66th and Paraguay ranks 65th of 109 countries.
Across the 7 decades both report, Cook Islands averaged higher in 5 and Paraguay in 2.
Head to head by decade
| Decade | Cook Islands | Paraguay | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 47.54 | 48.16 | 0.62 | Paraguay |
| 1970s | 84.95 | 56.87 | 28.07 | Cook Islands |
| 1980s | 124.28 | 100.94 | 23.34 | Cook Islands |
| 1990s | 233.84 | 93.35 | 140.49 | Cook Islands |
| 2000s | 187.58 | 98.64 | 88.94 | Cook Islands |
| 2010s | 102.45 | 100.82 | 1.63 | Cook Islands |
| 2020s | 100.84 | 101.15 | 0.308 | Paraguay |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production index number, Cook Islands or Paraguay?
- Paraguay, at 101 against 100.74 in Cook Islands as of 2024.
- What is the difference in watermelons — gross production index number between Cook Islands and Paraguay?
- 0.26, with Paraguay ahead.
- How many years of comparable data are there for Cook Islands and Paraguay?
- 64 years are reported by both, from 1961 to 2024.
- How do Cook Islands and Paraguay rank globally for watermelons — gross production index number?
- Cook Islands ranks 66th and Paraguay ranks 65th of 109 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Watermelons — Gross 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.