Guatemala vs Samoa: Coconuts, in shell — Gross per capita Production Index Number
Guatemala
67.9
in 2024
Samoa
66.8
in 2024
Guatemala rank
70th
Samoa rank
71st
Coconuts, in shell — Gross per capita Production Index Number over time
- Guatemala
- Samoa
How they compare
Guatemala currently reports 67.9 against 66.8 in Samoa, a difference of 1.1.
The two have swapped places 5 times across 64 shared years of data; in 1961 it was Samoa ahead.
Guatemala ranks 70th and Samoa ranks 71st of 80 countries.
Across the 7 decades both report, Guatemala averaged higher in 2 and Samoa in 5.
Head to head by decade
| Decade | Guatemala | Samoa | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 30.24 | 198.7 | 168.46 | Samoa |
| 1970s | 30.09 | 209.94 | 179.85 | Samoa |
| 1980s | 73.55 | 234.25 | 160.7 | Samoa |
| 1990s | 175.58 | 176.57 | 0.989 | Samoa |
| 2000s | 185.31 | 181.06 | 4.25 | Guatemala |
| 2010s | 116.79 | 131.65 | 14.85 | Samoa |
| 2020s | 80.41 | 66.83 | 13.58 | Guatemala |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher coconuts, in shell — gross per capita production index number, Guatemala or Samoa?
- Guatemala, at 67.9 against 66.8 in Samoa as of 2024.
- What is the difference in coconuts, in shell — gross per capita production index number between Guatemala and Samoa?
- 1.1, with Guatemala ahead.
- How many years of comparable data are there for Guatemala and Samoa?
- 64 years are reported by both, from 1961 to 2024.
- How do Guatemala and Samoa rank globally for coconuts, in shell — gross per capita production index number?
- Guatemala ranks 70th and Samoa ranks 71st of 80 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Coconuts, in shell — 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.