Guatemala vs Sri Lanka: Coconuts, in shell — Gross Production Index Number
Guatemala
78.43
in 2024
Sri Lanka
76.15
in 2024
Guatemala rank
69th
Sri Lanka rank
71st
Coconuts, in shell — Gross Production Index Number over time
- Guatemala
- Sri Lanka
How they compare
Guatemala currently reports 78.43 against 76.15 in Sri Lanka, a difference of 2.28.
The two have swapped places 7 times across 64 shared years of data; in 1961 it was Sri Lanka ahead.
Guatemala ranks 69th and Sri Lanka ranks 71st of 80 countries.
Across the 7 decades both report, Guatemala averaged higher in 3 and Sri Lanka in 4.
Head to head by decade
| Decade | Guatemala | Sri Lanka | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 8.97 | 83.26 | 74.28 | Sri Lanka |
| 1970s | 11.46 | 74.72 | 63.25 | Sri Lanka |
| 1980s | 37.44 | 75.12 | 37.67 | Sri Lanka |
| 1990s | 114.23 | 79.98 | 34.26 | Guatemala |
| 2000s | 147.73 | 86.23 | 61.5 | Guatemala |
| 2010s | 114.93 | 92.14 | 22.79 | Guatemala |
| 2020s | 90.15 | 90.71 | 0.558 | Sri Lanka |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher coconuts, in shell — gross production index number, Guatemala or Sri Lanka?
- Guatemala, at 78.43 against 76.15 in Sri Lanka as of 2024.
- What is the difference in coconuts, in shell — gross production index number between Guatemala and Sri Lanka?
- 2.28, with Guatemala ahead.
- How many years of comparable data are there for Guatemala and Sri Lanka?
- 64 years are reported by both, from 1961 to 2024.
- How do Guatemala and Sri Lanka rank globally for coconuts, in shell — gross production index number?
- Guatemala ranks 69th and Sri Lanka 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 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.