Bangladesh vs Cambodia: Seed cotton, unginned — Gross Production Value
Seed cotton, unginned — Gross Production Value over time
- Bangladesh
- Cambodia
How they compare
Cambodia currently reports 1.30 million 1000 SLC against 957,105 1000 SLC in Bangladesh, a difference of 340,275 1000 SLC.
That makes Cambodia's figure about 1.4 times Bangladesh's.
The two have swapped places 13 times across 34 shared years of data; in 1991 it was Bangladesh ahead.
Bangladesh ranks 29th and Cambodia ranks 27th of 62 countries.
Across the 4 decades both report, Bangladesh averaged higher in 1 and Cambodia in 3.
Head to head by decade
| Decade | Bangladesh | Cambodia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 302,305 1000 SLC | 333,193 1000 SLC | 30,889 1000 SLC | Cambodia |
| 2000s | 507,065 1000 SLC | 557,707 1000 SLC | 50,642 1000 SLC | Cambodia |
| 2010s | 1.18 million 1000 SLC | 926,237 1000 SLC | 256,651 1000 SLC | Bangladesh |
| 2020s | 1.12 million 1000 SLC | 1.18 million 1000 SLC | 56,945 1000 SLC | Cambodia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher seed cotton, unginned — gross production value, Bangladesh or Cambodia?
- Cambodia, at 1.30 million 1000 SLC against 957,105 1000 SLC in Bangladesh as of 2024.
- What is the difference in seed cotton, unginned — gross production value between Bangladesh and Cambodia?
- 340,275 1000 SLC, with Cambodia ahead.
- How many years of comparable data are there for Bangladesh and Cambodia?
- 34 years are reported by both, from 1991 to 2024.
- How do Bangladesh and Cambodia rank globally for seed cotton, unginned — gross production value?
- Bangladesh ranks 29th and Cambodia ranks 27th of 62 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Seed cotton, unginned — 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.