Cook Islands vs Libya: Watermelons — Gross Production Index Number
Cook Islands
100.74
in 2024
Libya
100.18
in 2024
Cook Islands rank
66th
Libya rank
69th
Watermelons — Gross Production Index Number over time
- Cook Islands
- Libya
How they compare
Cook Islands currently reports 100.74 against 100.18 in Libya, a difference of 0.56.
The two have swapped places 12 times across 64 shared years of data; in 1961 it was Cook Islands ahead.
Cook Islands ranks 66th and Libya ranks 69th of 109 countries.
Cook Islands has averaged higher in every one of the 7 decades both report.
Head to head by decade
| Decade | Cook Islands | Libya | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 47.54 | 7.98 | 39.56 | Cook Islands |
| 1970s | 84.95 | 49.36 | 35.58 | Cook Islands |
| 1980s | 124.28 | 65.17 | 59.1 | Cook Islands |
| 1990s | 233.84 | 89.23 | 144.62 | Cook Islands |
| 2000s | 187.58 | 102.08 | 85.49 | Cook Islands |
| 2010s | 102.45 | 99.43 | 3.02 | Cook Islands |
| 2020s | 100.84 | 100.21 | 0.628 | Cook Islands |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production index number, Cook Islands or Libya?
- Cook Islands, at 100.74 against 100.18 in Libya as of 2024.
- What is the difference in watermelons — gross production index number between Cook Islands and Libya?
- 0.56, with Cook Islands ahead.
- How many years of comparable data are there for Cook Islands and Libya?
- 64 years are reported by both, from 1961 to 2024.
- How do Cook Islands and Libya rank globally for watermelons — gross production index number?
- Cook Islands ranks 66th and Libya ranks 69th 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.