Argentina vs Libya: Watermelons — Gross Production Index Number
Argentina
99.17
in 2024
Libya
100.18
in 2024
Argentina rank
72nd
Libya rank
69th
Watermelons — Gross Production Index Number over time
- Argentina
- Libya
How they compare
Libya currently reports 100.18 against 99.17 in Argentina, a difference of 1.01.
The two have swapped places 5 times across 64 shared years of data; in 1961 it was Argentina ahead.
Argentina ranks 72nd and Libya ranks 69th of 109 countries.
Across the 7 decades both report, Argentina averaged higher in 5 and Libya in 2.
Head to head by decade
| Decade | Argentina | Libya | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 139.41 | 7.98 | 131.43 | Argentina |
| 1970s | 137.07 | 49.36 | 87.71 | Argentina |
| 1980s | 99.93 | 65.17 | 34.75 | Argentina |
| 1990s | 100.78 | 89.23 | 11.56 | Argentina |
| 2000s | 99.65 | 102.08 | 2.43 | Libya |
| 2010s | 99.74 | 99.43 | 0.309 | Argentina |
| 2020s | 98.92 | 100.21 | 1.29 | Libya |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production index number, Argentina or Libya?
- Libya, at 100.18 against 99.17 in Argentina as of 2024.
- What is the difference in watermelons — gross production index number between Argentina and Libya?
- 1.01, with Libya ahead.
- How many years of comparable data are there for Argentina and Libya?
- 64 years are reported by both, from 1961 to 2024.
- How do Argentina and Libya rank globally for watermelons — gross production index number?
- Argentina ranks 72nd 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.