Bangladesh vs Serbia: Maize (corn) — Gross Production Value
Bangladesh
89.67 million 1000 SLC
in 2024
Serbia
91.39 million 1000 SLC
in 2024
Bangladesh rank
36th
Serbia rank
35th
Maize (corn) — Gross Production Value over time
- Bangladesh
- Serbia
How they compare
Serbia currently reports 91.39 million 1000 SLC against 89.67 million 1000 SLC in Bangladesh, a difference of 1.72 million 1000 SLC.
Across all 19 years both countries report, Serbia has been ahead every year.
Bangladesh ranks 36th and Serbia ranks 35th of 134 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 | 9.47 million 1000 SLC | 52.60 million 1000 SLC | 43.13 million 1000 SLC | Serbia |
| 2010s | 35.52 million 1000 SLC | 95.42 million 1000 SLC | 59.89 million 1000 SLC | Serbia |
| 2020s | 81.56 million 1000 SLC | 122.02 million 1000 SLC | 40.46 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 91.39 million 1000 SLC against 89.67 million 1000 SLC in Bangladesh as of 2024.
- What is the difference in maize (corn) — gross production value between Bangladesh and Serbia?
- 1.72 million 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 36th and Serbia ranks 35th of 134 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Maize (corn) — 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.