Bangladesh vs Serbia: Maize (corn) — Gross Production Value
Bangladesh
75.03 million 1000 SLC
in 2024
Serbia
75.62 million 1000 SLC
in 2024
Bangladesh rank
32nd
Serbia rank
31st
Maize (corn) — Gross Production Value over time
- Bangladesh
- Serbia
How they compare
Serbia currently reports 75.62 million 1000 SLC against 75.03 million 1000 SLC in Bangladesh, a difference of 595,900 1000 SLC.
The two have swapped places 2 times across 19 shared years of data; in 2006 it was Serbia ahead.
Bangladesh ranks 32nd and Serbia ranks 31st of 125 countries.
Serbia has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Bangladesh | Serbia | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 14.29 million 1000 SLC | 83.20 million 1000 SLC | 68.90 million 1000 SLC | Serbia |
| 2010s | 35.08 million 1000 SLC | 92.09 million 1000 SLC | 57.01 million 1000 SLC | Serbia |
| 2020s | 70.50 million 1000 SLC | 88.61 million 1000 SLC | 18.10 million 1000 SLC | Serbia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher maize (corn) — gross production value, Bangladesh or Serbia?
- Serbia, at 75.62 million 1000 SLC against 75.03 million 1000 SLC in Bangladesh as of 2024.
- What is the difference in maize (corn) — gross production value between Bangladesh and Serbia?
- 595,900 1000 SLC, with Serbia ahead.
- How many years of comparable data are there for Bangladesh and Serbia?
- 19 years are reported by both, from 2006 to 2024.
- How do Bangladesh and Serbia rank globally for maize (corn) — gross production value?
- Bangladesh ranks 32nd and Serbia ranks 31st of 125 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Maize (corn) — 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.