Philippines vs Uzbekistan: Watermelons — Gross Production Index Number
Philippines
91.36
in 2024
Uzbekistan
92.81
in 2024
Philippines rank
81st
Uzbekistan rank
80th
Watermelons — Gross Production Index Number over time
- Philippines
- Uzbekistan
How they compare
Uzbekistan currently reports 92.81 against 91.36 in Philippines, a difference of 1.45.
The two have swapped places 5 times across 33 shared years of data; in 1992 it was Philippines ahead.
Philippines ranks 81st and Uzbekistan ranks 80th of 109 countries.
Philippines has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Philippines | Uzbekistan | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 57.89 | 29.42 | 28.48 | Philippines |
| 2000s | 67.64 | 36.49 | 31.15 | Philippines |
| 2010s | 92.93 | 86.6 | 6.33 | Philippines |
| 2020s | 95.31 | 77.29 | 18.01 | Philippines |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production index number, Philippines or Uzbekistan?
- Uzbekistan, at 92.81 against 91.36 in Philippines as of 2024.
- What is the difference in watermelons — gross production index number between Philippines and Uzbekistan?
- 1.45, with Uzbekistan ahead.
- How many years of comparable data are there for Philippines and Uzbekistan?
- 33 years are reported by both, from 1992 to 2024.
- How do Philippines and Uzbekistan rank globally for watermelons — gross production index number?
- Philippines ranks 81st and Uzbekistan ranks 80th 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.