Serbia vs Yemen: Maize (corn) — Gross Production Value
Serbia
91.39 million 1000 SLC
in 2024
Yemen
100.89 million 1000 SLC
in 2024
Serbia rank
35th
Yemen rank
33rd
Maize (corn) — Gross Production Value over time
- Serbia
- Yemen
How they compare
Yemen currently reports 100.89 million 1000 SLC against 91.39 million 1000 SLC in Serbia, a difference of 9.51 million 1000 SLC.
That makes Yemen's figure about 1.1 times Serbia's.
The two have swapped places 1 time across 19 shared years of data; in 2006 it was Serbia ahead.
Serbia ranks 35th and Yemen ranks 33rd of 134 countries.
Serbia has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Serbia | Yemen | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 52.60 million 1000 SLC | 7.52 million 1000 SLC | 45.07 million 1000 SLC | Serbia |
| 2010s | 95.42 million 1000 SLC | 10.74 million 1000 SLC | 84.68 million 1000 SLC | Serbia |
| 2020s | 122.02 million 1000 SLC | 70.93 million 1000 SLC | 51.10 million 1000 SLC | Serbia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher maize (corn) — gross production value, Serbia or Yemen?
- Yemen, at 100.89 million 1000 SLC against 91.39 million 1000 SLC in Serbia as of 2024.
- What is the difference in maize (corn) — gross production value between Serbia and Yemen?
- 9.51 million 1000 SLC, with Yemen ahead.
- How many years of comparable data are there for Serbia and Yemen?
- 19 years are reported by both, from 2006 to 2024.
- How do Serbia and Yemen rank globally for maize (corn) — gross production value?
- Serbia ranks 35th and Yemen ranks 33rd 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.