Brazil vs Philippines: Watermelons — Gross Production Index Number
Brazil
93.06
in 2024
Philippines
91.36
in 2024
Brazil rank
79th
Philippines rank
81st
Watermelons — Gross Production Index Number over time
- Brazil
- Philippines
How they compare
Brazil currently reports 93.06 against 91.36 in Philippines, a difference of 1.7.
The two have swapped places 13 times across 64 shared years of data; in 1961 it was Philippines ahead.
Brazil ranks 79th and Philippines ranks 81st of 109 countries.
Across the 7 decades both report, Brazil averaged higher in 2 and Philippines in 5.
Head to head by decade
| Decade | Brazil | Philippines | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 12.23 | 18.05 | 5.82 | Philippines |
| 1970s | 12.61 | 98.77 | 86.17 | Philippines |
| 1980s | 17 | 92.86 | 75.86 | Philippines |
| 1990s | 25.12 | 59.86 | 34.74 | Philippines |
| 2000s | 79.88 | 67.64 | 12.24 | Brazil |
| 2010s | 102.16 | 92.93 | 9.23 | Brazil |
| 2020s | 94.25 | 95.31 | 1.06 | Philippines |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production index number, Brazil or Philippines?
- Brazil, at 93.06 against 91.36 in Philippines as of 2024.
- What is the difference in watermelons — gross production index number between Brazil and Philippines?
- 1.7, with Brazil ahead.
- How many years of comparable data are there for Brazil and Philippines?
- 64 years are reported by both, from 1961 to 2024.
- How do Brazil and Philippines rank globally for watermelons — gross production index number?
- Brazil ranks 79th and Philippines ranks 81st 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.