Bangladesh vs Morocco: Peas, dry — Gross Production Value
Bangladesh
316,305 1000 SLC
in 2024
Morocco
149,603 1000 SLC
in 2024
Bangladesh rank
27th
Morocco rank
30th
Peas, dry — Gross Production Value over time
- Bangladesh
- Morocco
How they compare
Bangladesh currently reports 316,305 1000 SLC against 149,603 1000 SLC in Morocco, a difference of 166,702 1000 SLC.
That makes Bangladesh's figure about 2.1 times Morocco's.
Across all 34 years both countries report, Bangladesh has been ahead every year.
Bangladesh ranks 27th and Morocco ranks 30th of 79 countries.
Bangladesh has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Bangladesh | Morocco | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 373,670 1000 SLC | 128,348 1000 SLC | 245,322 1000 SLC | Bangladesh |
| 2000s | 320,115 1000 SLC | 83,743 1000 SLC | 236,372 1000 SLC | Bangladesh |
| 2010s | 519,729 1000 SLC | 159,204 1000 SLC | 360,525 1000 SLC | Bangladesh |
| 2020s | 346,205 1000 SLC | 161,293 1000 SLC | 184,911 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 Morocco?
- Bangladesh, at 316,305 1000 SLC against 149,603 1000 SLC in Morocco as of 2024.
- What is the difference in peas, dry — gross production value between Bangladesh and Morocco?
- 166,702 1000 SLC, with Bangladesh ahead.
- How many years of comparable data are there for Bangladesh and Morocco?
- 34 years are reported by both, from 1991 to 2024.
- How do Bangladesh and Morocco rank globally for peas, dry — gross production value?
- Bangladesh ranks 27th and Morocco ranks 30th 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.