Bangladesh vs Portugal: Food — Gross per capita Production Index Number (2014-2016 = 100)
Bangladesh
124.34
in 2024
Portugal
127.17
in 2024
Bangladesh rank
17th
Portugal rank
15th
Food — Gross per capita Production Index Number (2014-2016 = 100) over time
- Bangladesh
- Portugal
How they compare
Portugal currently reports 127.17 against 124.34 in Bangladesh, a difference of 2.83.
The two have swapped places 10 times across 64 shared years of data; in 1961 it was Portugal ahead.
Bangladesh ranks 17th and Portugal ranks 15th of 185 countries.
Portugal has averaged higher in every one of the 7 decades both report.
Head to head by decade
| Decade | Bangladesh | Portugal | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 70.8 | 90.58 | 19.78 | Portugal |
| 1970s | 62.7 | 88.37 | 25.67 | Portugal |
| 1980s | 59.16 | 83.75 | 24.58 | Portugal |
| 1990s | 59.23 | 97.31 | 38.07 | Portugal |
| 2000s | 73.51 | 93.09 | 19.58 | Portugal |
| 2010s | 98.82 | 99.6 | 0.78 | Portugal |
| 2020s | 119.22 | 119.43 | 0.21 | Portugal |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher food — gross per capita production index number, Bangladesh or Portugal?
- Portugal, at 127.17 against 124.34 in Bangladesh as of 2024.
- What is the difference in food — gross per capita production index number between Bangladesh and Portugal?
- 2.83, with Portugal ahead.
- How many years of comparable data are there for Bangladesh and Portugal?
- 64 years are reported by both, from 1961 to 2024.
- How do Bangladesh and Portugal rank globally for food — gross per capita production index number?
- Bangladesh ranks 17th and Portugal ranks 15th of 185 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Food — 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.