Brazil vs Serbia and Montenegro: Watermelons — Gross Production Value
Watermelons — Gross Production Value over time
- Brazil
- Serbia and Montenegro
How they compare
Brazil currently reports 2.43 million 1000 SLC against 1.97 million 1000 SLC in Serbia and Montenegro, a difference of 456,430 1000 SLC.
That makes Brazil's figure about 1.2 times Serbia and Montenegro's.
The two have swapped places 2 times across 12 shared years of data; in 1994 it was Serbia and Montenegro ahead.
Brazil ranks 33rd and Serbia and Montenegro ranks 36th of 91 countries.
Serbia and Montenegro has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Brazil | Serbia and Montenegro | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 154,448 1000 SLC | 339,282 1000 SLC | 184,833 1000 SLC | Serbia and Montenegro |
| 2000s | 185,478 1000 SLC | 1.93 million 1000 SLC | 1.75 million 1000 SLC | Serbia and Montenegro |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production value, Brazil or Serbia and Montenegro?
- Brazil, at 2.43 million 1000 SLC against 1.97 million 1000 SLC in Serbia and Montenegro as of 2024.
- What is the difference in watermelons — gross production value between Brazil and Serbia and Montenegro?
- 456,430 1000 SLC, with Brazil ahead.
- How many years of comparable data are there for Brazil and Serbia and Montenegro?
- 12 years are reported by both, from 1994 to 2005.
- How do Brazil and Serbia and Montenegro rank globally for watermelons — gross production value?
- Brazil ranks 33rd and Serbia and Montenegro ranks 36th of 91 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Watermelons — 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.