Panama vs Sri Lanka: Cocoa beans — Gross Production Index Number
Panama
46.41
in 2024
Sri Lanka
66.32
in 2024
Panama rank
46th
Sri Lanka rank
43rd
Cocoa beans — Gross Production Index Number over time
- Panama
- Sri Lanka
How they compare
Sri Lanka currently reports 66.32 against 46.41 in Panama, a difference of 19.91.
That makes Sri Lanka's figure about 1.4 times Panama's.
The two have swapped places 13 times across 64 shared years of data; in 1961 it was Panama ahead.
Panama ranks 46th and Sri Lanka ranks 43rd of 50 countries.
Across the 7 decades both report, Panama averaged higher in 4 and Sri Lanka in 3.
Head to head by decade
| Decade | Panama | Sri Lanka | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 127.59 | 153.64 | 26.05 | Sri Lanka |
| 1970s | 124.83 | 109 | 15.84 | Panama |
| 1980s | 218.47 | 162.05 | 56.42 | Panama |
| 1990s | 111.98 | 230.57 | 118.6 | Sri Lanka |
| 2000s | 82.44 | 129.06 | 46.62 | Sri Lanka |
| 2010s | 104.55 | 97.7 | 6.85 | Panama |
| 2020s | 95.72 | 74.91 | 20.81 | Panama |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher cocoa beans — gross production index number, Panama or Sri Lanka?
- Sri Lanka, at 66.32 against 46.41 in Panama as of 2024.
- What is the difference in cocoa beans — gross production index number between Panama and Sri Lanka?
- 19.91, with Sri Lanka ahead.
- How many years of comparable data are there for Panama and Sri Lanka?
- 64 years are reported by both, from 1961 to 2024.
- How do Panama and Sri Lanka rank globally for cocoa beans — gross production index number?
- Panama ranks 46th and Sri Lanka ranks 43rd of 50 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Cocoa beans — 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.