Bangladesh vs Congo: Sugar cane — Gross Production Value
Bangladesh
112,998 1000 USD
in 2024
Congo
99,467 1000 USD
in 2024
Bangladesh rank
30th
Congo rank
31st
Sugar cane — Gross Production Value over time
- Bangladesh
- Congo
How they compare
Bangladesh currently reports 112,998 1000 USD against 99,467 1000 USD in Congo, a difference of 13,531 1000 USD.
That makes Bangladesh's figure about 1.1 times Congo's.
Across all 34 years both countries report, Bangladesh has been ahead every year.
Bangladesh ranks 30th and Congo ranks 31st of 63 countries.
Bangladesh has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Bangladesh | Congo | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 178,015 1000 USD | 42,690 1000 USD | 135,326 1000 USD | Bangladesh |
| 2000s | 163,277 1000 USD | 75,589 1000 USD | 87,689 1000 USD | Bangladesh |
| 2010s | 165,381 1000 USD | 113,207 1000 USD | 52,174 1000 USD | Bangladesh |
| 2020s | 145,708 1000 USD | 102,646 1000 USD | 43,062 1000 USD | Bangladesh |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher sugar cane — gross production value, Bangladesh or Congo?
- Bangladesh, at 112,998 1000 USD against 99,467 1000 USD in Congo as of 2024.
- What is the difference in sugar cane — gross production value between Bangladesh and Congo?
- 13,531 1000 USD, with Bangladesh ahead.
- How many years of comparable data are there for Bangladesh and Congo?
- 34 years are reported by both, from 1991 to 2024.
- How do Bangladesh and Congo rank globally for sugar cane — gross production value?
- Bangladesh ranks 30th and Congo ranks 31st of 63 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Sugar cane — Gross Production Value (current thousand US$). 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.