Philippines vs Tunisia: Watermelons — Gross Production Index Number
Philippines
91.36
in 2024
Tunisia
88.75
in 2024
Philippines rank
81st
Tunisia rank
84th
Watermelons — Gross Production Index Number over time
- Philippines
- Tunisia
How they compare
Philippines currently reports 91.36 against 88.75 in Tunisia, a difference of 2.61.
The two have swapped places 13 times across 64 shared years of data; in 1961 it was Tunisia ahead.
Philippines ranks 81st and Tunisia ranks 84th of 109 countries.
Across the 7 decades both report, Philippines averaged higher in 6 and Tunisia in 1.
Head to head by decade
| Decade | Philippines | Tunisia | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 18.05 | 14.03 | 4.02 | Philippines |
| 1970s | 98.77 | 24.4 | 74.37 | Philippines |
| 1980s | 92.86 | 39.01 | 53.85 | Philippines |
| 1990s | 59.86 | 51.51 | 8.35 | Philippines |
| 2000s | 67.64 | 71.32 | 3.68 | Tunisia |
| 2010s | 92.93 | 84.71 | 8.22 | Philippines |
| 2020s | 95.31 | 84.34 | 10.96 | Philippines |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production index number, Philippines or Tunisia?
- Philippines, at 91.36 against 88.75 in Tunisia as of 2024.
- What is the difference in watermelons — gross production index number between Philippines and Tunisia?
- 2.61, with Philippines ahead.
- How many years of comparable data are there for Philippines and Tunisia?
- 64 years are reported by both, from 1961 to 2024.
- How do Philippines and Tunisia rank globally for watermelons — gross production index number?
- Philippines ranks 81st and Tunisia ranks 84th 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.