Solomon Islands vs Uzbekistan: Watermelons — Gross per capita Production Index Number
Solomon Islands
80.06
in 2024
Uzbekistan
78.56
in 2024
Solomon Islands rank
84th
Uzbekistan rank
86th
Watermelons — Gross per capita Production Index Number over time
- Solomon Islands
- Uzbekistan
How they compare
Solomon Islands currently reports 80.06 against 78.56 in Uzbekistan, a difference of 1.5.
The two have swapped places 2 times across 33 shared years of data; in 1992 it was Solomon Islands ahead.
Solomon Islands ranks 84th and Uzbekistan ranks 86th of 109 countries.
Solomon Islands has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Solomon Islands | Uzbekistan | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 104.13 | 39.67 | 64.46 | Solomon Islands |
| 2000s | 120.83 | 42.36 | 78.47 | Solomon Islands |
| 2010s | 99.94 | 87.01 | 12.93 | Solomon Islands |
| 2020s | 84.23 | 67.86 | 16.37 | Solomon Islands |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, Solomon Islands or Uzbekistan?
- Solomon Islands, at 80.06 against 78.56 in Uzbekistan as of 2024.
- What is the difference in watermelons — gross per capita production index number between Solomon Islands and Uzbekistan?
- 1.5, with Solomon Islands ahead.
- How many years of comparable data are there for Solomon Islands and Uzbekistan?
- 33 years are reported by both, from 1992 to 2024.
- How do Solomon Islands and Uzbekistan rank globally for watermelons — gross per capita production index number?
- Solomon Islands ranks 84th and Uzbekistan ranks 86th 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.