Bangladesh vs Thailand: Rice — Gross per capita Production Index Number
Bangladesh
106.73
in 2024
Thailand
105.41
in 2024
Bangladesh rank
38th
Thailand rank
41st
Rice — Gross per capita Production Index Number over time
- Bangladesh
- Thailand
How they compare
Bangladesh currently reports 106.73 against 105.41 in Thailand, a difference of 1.32.
The two have swapped places 8 times across 64 shared years of data; in 1961 it was Bangladesh ahead.
Bangladesh ranks 38th and Thailand ranks 41st of 106 countries.
Across the 7 decades both report, Bangladesh averaged higher in 1 and Thailand in 6.
Head to head by decade
| Decade | Bangladesh | Thailand | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 79.97 | 85.74 | 5.78 | Thailand |
| 1970s | 70.06 | 81.32 | 11.26 | Thailand |
| 1980s | 69.67 | 86.33 | 16.67 | Thailand |
| 1990s | 69.11 | 80.25 | 11.14 | Thailand |
| 2000s | 84.67 | 100.95 | 16.28 | Thailand |
| 2010s | 100.23 | 108.46 | 8.23 | Thailand |
| 2020s | 105.16 | 102.62 | 2.54 | Bangladesh |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher rice — gross per capita production index number, Bangladesh or Thailand?
- Bangladesh, at 106.73 against 105.41 in Thailand as of 2024.
- What is the difference in rice — gross per capita production index number between Bangladesh and Thailand?
- 1.32, with Bangladesh ahead.
- How many years of comparable data are there for Bangladesh and Thailand?
- 64 years are reported by both, from 1961 to 2024.
- How do Bangladesh and Thailand rank globally for rice — gross per capita production index number?
- Bangladesh ranks 38th and Thailand ranks 41st of 106 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Rice — 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.