Bangladesh vs Peru: Peas, dry — Gross Production Value
Bangladesh
316,305 1000 SLC
in 2024
Peru
205,649 1000 SLC
in 2024
Bangladesh rank
27th
Peru rank
29th
Peas, dry — Gross Production Value over time
- Bangladesh
- Peru
How they compare
Bangladesh currently reports 316,305 1000 SLC against 205,649 1000 SLC in Peru, a difference of 110,656 1000 SLC.
That makes Bangladesh's figure about 1.5 times Peru's.
Across all 34 years both countries report, Bangladesh has been ahead every year.
Bangladesh ranks 27th and Peru ranks 29th of 79 countries.
Bangladesh has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Bangladesh | Peru | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 373,670 1000 SLC | 22,800 1000 SLC | 350,870 1000 SLC | Bangladesh |
| 2000s | 320,115 1000 SLC | 59,070 1000 SLC | 261,045 1000 SLC | Bangladesh |
| 2010s | 519,729 1000 SLC | 120,984 1000 SLC | 398,745 1000 SLC | Bangladesh |
| 2020s | 346,205 1000 SLC | 165,506 1000 SLC | 180,699 1000 SLC | Bangladesh |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher peas, dry — gross production value, Bangladesh or Peru?
- Bangladesh, at 316,305 1000 SLC against 205,649 1000 SLC in Peru as of 2024.
- What is the difference in peas, dry — gross production value between Bangladesh and Peru?
- 110,656 1000 SLC, with Bangladesh ahead.
- How many years of comparable data are there for Bangladesh and Peru?
- 34 years are reported by both, from 1991 to 2024.
- How do Bangladesh and Peru rank globally for peas, dry — gross production value?
- Bangladesh ranks 27th and Peru ranks 29th of 79 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Peas, dry — Gross Production Value (current thousand SLC). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The domain provides detailed data on the value of agricultural production that is calculated by the agricultural production data and the price data at farm gate. Thus, the value of production measures the agricultural production in monetary terms at the farm gate level.