Israel vs Philippines: Watermelons — Gross per capita Production Index Number
Israel
85.51
in 2024
Philippines
83.04
in 2024
Israel rank
79th
Philippines rank
82nd
Watermelons — Gross per capita Production Index Number over time
- Israel
- Philippines
How they compare
Israel currently reports 85.51 against 83.04 in Philippines, a difference of 2.47.
The two have swapped places 6 times across 64 shared years of data; in 1961 it was Israel ahead.
Israel ranks 79th and Philippines ranks 82nd of 109 countries.
Israel has averaged higher in every one of the 7 decades both report.
Head to head by decade
| Decade | Israel | Philippines | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 234.31 | 57.59 | 176.73 | Israel |
| 1970s | 269.33 | 242.26 | 27.07 | Israel |
| 1980s | 195.62 | 184.93 | 10.69 | Israel |
| 1990s | 376.37 | 91.36 | 285 | Israel |
| 2000s | 311.15 | 81.21 | 229.94 | Israel |
| 2010s | 104.42 | 93.66 | 10.76 | Israel |
| 2020s | 99.89 | 88.12 | 11.77 | Israel |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, Israel or Philippines?
- Israel, at 85.51 against 83.04 in Philippines as of 2024.
- What is the difference in watermelons — gross per capita production index number between Israel and Philippines?
- 2.47, with Israel ahead.
- How many years of comparable data are there for Israel and Philippines?
- 64 years are reported by both, from 1961 to 2024.
- How do Israel and Philippines rank globally for watermelons — gross per capita production index number?
- Israel ranks 79th and Philippines ranks 82nd 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.