Bangladesh vs Czechia: Peas, dry — Gross Production Value
Bangladesh
319,694 1000 SLC
in 2024
Czechia
549,807 1000 SLC
in 2017
Bangladesh rank
25th
Czechia rank
23rd
Peas, dry — Gross Production Value over time
- Bangladesh
- Czechia
How they compare
Czechia currently reports 549,807 1000 SLC against 319,694 1000 SLC in Bangladesh, a difference of 230,113 1000 SLC.
That makes Czechia's figure about 1.7 times Bangladesh's.
The two have swapped places 3 times across 25 shared years of data; in 1993 it was Czechia ahead.
Bangladesh ranks 25th and Czechia ranks 23rd of 77 countries.
Bangladesh has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Bangladesh | Czechia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 929,437 1000 SLC | 829,155 1000 SLC | 100,281 1000 SLC | Bangladesh |
| 2000s | 567,491 1000 SLC | 401,514 1000 SLC | 165,977 1000 SLC | Bangladesh |
| 2010s | 592,708 1000 SLC | 345,451 1000 SLC | 247,256 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 Czechia?
- Czechia, at 549,807 1000 SLC against 319,694 1000 SLC in Bangladesh as of 2017.
- What is the difference in peas, dry — gross production value between Bangladesh and Czechia?
- 230,113 1000 SLC, with Czechia ahead.
- How many years of comparable data are there for Bangladesh and Czechia?
- 25 years are reported by both, from 1993 to 2017.
- How do Bangladesh and Czechia rank globally for peas, dry — gross production value?
- Bangladesh ranks 25th and Czechia ranks 23rd of 77 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Peas, dry — Gross Production Value (constant 2014-2016 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.