Panama vs Southern Asia: Edible roots and tubers with high starch or inulin content, n.e.c.
Panama
337.66
in 2018
Southern Asia
184.06
in 2024
Panama rank
3rd
Southern Asia rank
3rd
Edible roots and tubers with high starch or inulin content, n.e.c. over time
- Panama
- Southern Asia
How they compare
Panama currently reports 337.66 against 184.06 in Southern Asia, a difference of 153.6.
That makes Panama's figure about 1.8 times Southern Asia's.
The two have swapped places 2 times across 29 shared years of data; in 1990 it was Panama ahead.
Panama ranks 3rd and Southern Asia ranks 3rd of 63 countries.
Panama has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Panama | Southern Asia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 4,444 | 69.23 | 4,375 | Panama |
| 2000s | 7,858 | 66.42 | 7,792 | Panama |
| 2010s | 178.45 | 99.77 | 78.68 | Panama |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher edible roots and tubers with high starch or inulin content, n.e.c., Panama or Southern Asia?
- Panama, at 337.66 against 184.06 in Southern Asia as of 2018.
- What is the difference in edible roots and tubers with high starch or inulin content, n.e.c. between Panama and Southern Asia?
- 153.6, with Panama ahead.
- How many years of comparable data are there for Panama and Southern Asia?
- 29 years are reported by both, from 1990 to 2018.
- How do Panama and Southern Asia rank globally for edible roots and tubers with high starch or inulin content, n.e.c.?
- Panama ranks 3rd and Southern Asia ranks 3rd of 63 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Edible roots and tubers with high starch or inulin content, n.e.c., fresh — 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.