Honduras vs Singapore: Coconuts, in shell — Gross Production Index Number
Honduras
93.85
in 2024
Singapore
95.15
in 2024
Honduras rank
61st
Singapore rank
59th
Coconuts, in shell — Gross Production Index Number over time
- Honduras
- Singapore
How they compare
Singapore currently reports 95.15 against 93.85 in Honduras, a difference of 1.3.
The two have swapped places 4 times across 64 shared years of data; in 1961 it was Singapore ahead.
Honduras ranks 61st and Singapore ranks 59th of 80 countries.
Across the 7 decades both report, Honduras averaged higher in 1 and Singapore in 6.
Head to head by decade
| Decade | Honduras | Singapore | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 79.75 | 13,009 | 12,930 | Singapore |
| 1970s | 123.33 | 12,258 | 12,135 | Singapore |
| 1980s | 78.87 | 5,423 | 5,344 | Singapore |
| 1990s | 151.64 | 272.92 | 121.29 | Singapore |
| 2000s | 117.66 | 113.17 | 4.48 | Honduras |
| 2010s | 100.07 | 108.27 | 8.2 | Singapore |
| 2020s | 94 | 96.35 | 2.35 | Singapore |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher coconuts, in shell — gross production index number, Honduras or Singapore?
- Singapore, at 95.15 against 93.85 in Honduras as of 2024.
- What is the difference in coconuts, in shell — gross production index number between Honduras and Singapore?
- 1.3, with Singapore ahead.
- How many years of comparable data are there for Honduras and Singapore?
- 64 years are reported by both, from 1961 to 2024.
- How do Honduras and Singapore rank globally for coconuts, in shell — gross production index number?
- Honduras ranks 61st and Singapore ranks 59th 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.