Saudi Arabia vs Serbia: Watermelons — Gross Production Value
Saudi Arabia
1.66 million 1000 SLC
in 2024
Serbia
2.38 million 1000 SLC
in 2024
Saudi Arabia rank
30th
Serbia rank
28th
Watermelons — Gross Production Value over time
- Saudi Arabia
- Serbia
How they compare
Serbia currently reports 2.38 million 1000 SLC against 1.66 million 1000 SLC in Saudi Arabia, a difference of 720,790 1000 SLC.
That makes Serbia's figure about 1.4 times Saudi Arabia's.
Across all 19 years both countries report, Serbia has been ahead every year.
Saudi Arabia ranks 30th and Serbia ranks 28th of 86 countries.
Serbia has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Saudi Arabia | Serbia | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 1.01 million 1000 SLC | 3.11 million 1000 SLC | 2.10 million 1000 SLC | Serbia |
| 2010s | 1.36 million 1000 SLC | 2.84 million 1000 SLC | 1.48 million 1000 SLC | Serbia |
| 2020s | 1.62 million 1000 SLC | 2.14 million 1000 SLC | 517,566 1000 SLC | Serbia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production value, Saudi Arabia or Serbia?
- Serbia, at 2.38 million 1000 SLC against 1.66 million 1000 SLC in Saudi Arabia as of 2024.
- What is the difference in watermelons — gross production value between Saudi Arabia and Serbia?
- 720,790 1000 SLC, with Serbia ahead.
- How many years of comparable data are there for Saudi Arabia and Serbia?
- 19 years are reported by both, from 2006 to 2024.
- How do Saudi Arabia and Serbia rank globally for watermelons — gross production value?
- Saudi Arabia ranks 30th and Serbia ranks 28th of 86 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Watermelons — 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.