Central America vs Congo: Coconuts, in shell — Gross per capita Production Index Number
Central America
88.77
in 2024
Congo
124.22
in 2024
Central America rank
15th
Congo rank
18th
Coconuts, in shell — Gross per capita Production Index Number over time
- Central America
- Congo
How they compare
Congo currently reports 124.22 against 88.77 in Central America, a difference of 35.45.
That makes Congo's figure about 1.4 times Central America's.
The two have swapped places 6 times across 29 shared years of data; in 1996 it was Congo ahead.
Central America ranks 15th and Congo ranks 18th of 20 groups.
Congo has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Central America | Congo | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 134 | 218.66 | 84.66 | Congo |
| 2000s | 113.61 | 165.94 | 52.33 | Congo |
| 2010s | 110 | 111.52 | 1.51 | Congo |
| 2020s | 87.85 | 136.52 | 48.66 | Congo |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher coconuts, in shell — gross per capita production index number, Central America or Congo?
- Congo, at 124.22 against 88.77 in Central America as of 2024.
- What is the difference in coconuts, in shell — gross per capita production index number between Central America and Congo?
- 35.45, with Congo ahead.
- How many years of comparable data are there for Central America and Congo?
- 29 years are reported by both, from 1996 to 2024.
- How do Central America and Congo rank globally for coconuts, in shell — gross per capita production index number?
- Central America ranks 15th and Congo ranks 18th of 20 groups.
- 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.