Guatemala vs Maldives: Coconuts, in shell — Gross Production Index Number
Guatemala
78.43
in 2024
Maldives
78.75
in 2024
Guatemala rank
69th
Maldives rank
68th
Coconuts, in shell — Gross Production Index Number over time
- Guatemala
- Maldives
How they compare
Maldives currently reports 78.75 against 78.43 in Guatemala, a difference of 0.32.
The two have swapped places 4 times across 58 shared years of data; in 1961 it was Maldives ahead.
Guatemala ranks 69th and Maldives ranks 68th of 80 countries.
Across the 7 decades both report, Guatemala averaged higher in 1 and Maldives in 6.
Head to head by decade
| Decade | Guatemala | Maldives | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 8.97 | 1,638 | 1,629 | Maldives |
| 1970s | 11.46 | 1,305 | 1,294 | Maldives |
| 1980s | 37.44 | 2,078 | 2,041 | Maldives |
| 1990s | 141.35 | 2,489 | 2,347 | Maldives |
| 2000s | 147.73 | 3,314 | 3,166 | Maldives |
| 2010s | 114.93 | 237.29 | 122.36 | Maldives |
| 2020s | 90.15 | 40.48 | 49.67 | Guatemala |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher coconuts, in shell — gross production index number, Guatemala or Maldives?
- Maldives, at 78.75 against 78.43 in Guatemala as of 2024.
- What is the difference in coconuts, in shell — gross production index number between Guatemala and Maldives?
- 0.32, with Maldives ahead.
- How many years of comparable data are there for Guatemala and Maldives?
- 58 years are reported by both, from 1961 to 2024.
- How do Guatemala and Maldives rank globally for coconuts, in shell — gross production index number?
- Guatemala ranks 69th and Maldives ranks 68th 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.