Bangladesh vs Micronesia: Maize (corn) — Gross per capita Production Index Number
Bangladesh
185
in 2024
Micronesia
96.12
in 2024
Bangladesh rank
13th
Micronesia rank
11th
Maize (corn) — Gross per capita Production Index Number over time
- Bangladesh
- Micronesia
How they compare
Bangladesh currently reports 185 against 96.12 in Micronesia, a difference of 88.88.
That makes Bangladesh's figure about 1.9 times Micronesia's.
The two have swapped places 1 time across 34 shared years of data; in 1991 it was Micronesia ahead.
Bangladesh ranks 13th and Micronesia ranks 11th of 147 countries.
Across the 4 decades both report, Bangladesh averaged higher in 1 and Micronesia in 3.
Head to head by decade
| Decade | Bangladesh | Micronesia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 0.1656 | 59.89 | 59.72 | Micronesia |
| 2000s | 20.89 | 66.88 | 45.99 | Micronesia |
| 2010s | 93.71 | 94.88 | 1.17 | Micronesia |
| 2020s | 177.73 | 96.91 | 80.82 | Bangladesh |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher maize (corn) — gross per capita production index number, Bangladesh or Micronesia?
- Bangladesh, at 185 against 96.12 in Micronesia as of 2024.
- What is the difference in maize (corn) — gross per capita production index number between Bangladesh and Micronesia?
- 88.88, with Bangladesh ahead.
- How many years of comparable data are there for Bangladesh and Micronesia?
- 34 years are reported by both, from 1991 to 2024.
- How do Bangladesh and Micronesia rank globally for maize (corn) — gross per capita production index number?
- Bangladesh ranks 13th and Micronesia ranks 11th of 147 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Maize (corn) — 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.