Bangladesh vs Congo: Food — Gross Production Value
Food — Gross Production Value over time
- Bangladesh
- Congo
How they compare
Bangladesh currently reports 3.79 billion 1000 SLC against 3.37 billion 1000 SLC in Congo, a difference of 420.80 million 1000 SLC.
That makes Bangladesh's figure about 1.1 times Congo's.
The two have swapped places 6 times across 34 shared years of data; in 1991 it was Bangladesh ahead.
Bangladesh ranks 29th and Congo ranks 30th of 169 countries.
Across the 4 decades both report, Bangladesh averaged higher in 2 and Congo in 2.
Head to head by decade
| Decade | Bangladesh | Congo | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 297.82 million 1000 SLC | 362.59 million 1000 SLC | 64.78 million 1000 SLC | Congo |
| 2000s | 608.29 million 1000 SLC | 490.13 million 1000 SLC | 118.16 million 1000 SLC | Bangladesh |
| 2010s | 1.76 billion 1000 SLC | 1.76 billion 1000 SLC | 3.21 million 1000 SLC | Congo |
| 2020s | 3.21 billion 1000 SLC | 2.71 billion 1000 SLC | 498.30 million 1000 SLC | Bangladesh |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher food — gross production value, Bangladesh or Congo?
- Bangladesh, at 3.79 billion 1000 SLC against 3.37 billion 1000 SLC in Congo as of 2024.
- What is the difference in food — gross production value between Bangladesh and Congo?
- 420.80 million 1000 SLC, 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 food — gross production value?
- Bangladesh ranks 29th and Congo ranks 30th of 169 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Food — 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.