China vs Philippines: Coconuts, in shell — Gross Production Index Number
China
97.3
in 2024
Philippines
100.57
in 2024
China rank
55th
Philippines rank
51st
Coconuts, in shell — Gross Production Index Number over time
- China
- Philippines
How they compare
Philippines currently reports 100.57 against 97.3 in China, a difference of 3.27.
The two have swapped places 8 times across 64 shared years of data; in 1961 it was Philippines ahead.
China ranks 55th and Philippines ranks 51st of 80 countries.
Philippines has averaged higher in every one of the 7 decades both report.
Head to head by decade
| Decade | China | Philippines | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 11.51 | 44.39 | 32.88 | Philippines |
| 1970s | 13.66 | 59.45 | 45.8 | Philippines |
| 1980s | 16.67 | 61.61 | 44.94 | Philippines |
| 1990s | 37.82 | 84.02 | 46.2 | Philippines |
| 2000s | 75.63 | 100.21 | 24.58 | Philippines |
| 2010s | 85.98 | 103.18 | 17.2 | Philippines |
| 2020s | 97.1 | 102 | 4.89 | Philippines |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher coconuts, in shell — gross production index number, China or Philippines?
- Philippines, at 100.57 against 97.3 in China as of 2024.
- What is the difference in coconuts, in shell — gross production index number between China and Philippines?
- 3.27, with Philippines ahead.
- How many years of comparable data are there for China and Philippines?
- 64 years are reported by both, from 1961 to 2024.
- How do China and Philippines rank globally for coconuts, in shell — gross production index number?
- China ranks 55th and Philippines ranks 51st of 80 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Coconuts, in shell — 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.