Guyana vs Serbia: Watermelons — Gross Production Value
Guyana
2.97 million 1000 SLC
in 2024
Serbia
2.38 million 1000 SLC
in 2024
Guyana rank
26th
Serbia rank
28th
Watermelons — Gross Production Value over time
- Guyana
- Serbia
How they compare
Guyana currently reports 2.97 million 1000 SLC against 2.38 million 1000 SLC in Serbia, a difference of 588,780 1000 SLC.
That makes Guyana's figure about 1.2 times Serbia's.
The two have swapped places 1 time across 19 shared years of data; in 2006 it was Serbia ahead.
Guyana ranks 26th and Serbia ranks 28th of 86 countries.
Across the 3 decades both report, Guyana averaged higher in 1 and Serbia in 2.
Head to head by decade
| Decade | Guyana | Serbia | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 138,752 1000 SLC | 3.11 million 1000 SLC | 2.97 million 1000 SLC | Serbia |
| 2010s | 1.56 million 1000 SLC | 2.84 million 1000 SLC | 1.28 million 1000 SLC | Serbia |
| 2020s | 3.03 million 1000 SLC | 2.14 million 1000 SLC | 885,778 1000 SLC | Guyana |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production value, Guyana or Serbia?
- Guyana, at 2.97 million 1000 SLC against 2.38 million 1000 SLC in Serbia as of 2024.
- What is the difference in watermelons — gross production value between Guyana and Serbia?
- 588,780 1000 SLC, with Guyana ahead.
- How many years of comparable data are there for Guyana and Serbia?
- 19 years are reported by both, from 2006 to 2024.
- How do Guyana and Serbia rank globally for watermelons — gross production value?
- Guyana ranks 26th 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.