Libya vs Uruguay: Watermelons β Gross Production Index Number
Libya
100.18
in 2024
Uruguay
100.19
in 2024
Libya rank
68th
Uruguay rank
67th
Watermelons β Gross Production Index Number over time
- Libya
- Uruguay
How they compare
Uruguay currently reports 100.19 against 100.18 in Libya, a difference of 0.01.
The two have swapped places 6 times across 64 shared years of data; in 1961 it was Uruguay ahead.
Libya ranks 68th and Uruguay ranks 67th of 108 countries.
Uruguay has averaged higher in every one of the 7 decades both report.
Head to head by decade
| Decade | Libya | Uruguay | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 7.98 | 77.03 | 69.05 | Uruguay |
| 1970s | 49.36 | 99.73 | 50.37 | Uruguay |
| 1980s | 65.17 | 160.08 | 94.91 | Uruguay |
| 1990s | 89.23 | 133.61 | 44.38 | Uruguay |
| 2000s | 102.08 | 113.37 | 11.28 | Uruguay |
| 2010s | 99.43 | 102.53 | 3.1 | Uruguay |
| 2020s | 100.21 | 100.59 | 0.376 | Uruguay |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons β gross production index number, Libya or Uruguay?
- Uruguay, at 100.19 against 100.18 in Libya as of 2024.
- What is the difference in watermelons β gross production index number between Libya and Uruguay?
- 0.01, with Uruguay ahead.
- How many years of comparable data are there for Libya and Uruguay?
- 64 years are reported by both, from 1961 to 2024.
- How do Libya and Uruguay rank globally for watermelons β gross production index number?
- Libya ranks 68th and Uruguay ranks 67th of 108 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Watermelons β 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.