Bulgaria vs Panama: Watermelons — Gross Production Value
Bulgaria
32,299 1000 SLC
in 2024
Panama
46,630 1000 SLC
in 2024
Bulgaria rank
69th
Panama rank
66th
Watermelons — Gross Production Value over time
- Bulgaria
- Panama
How they compare
Panama currently reports 46,630 1000 SLC against 32,299 1000 SLC in Bulgaria, a difference of 14,331 1000 SLC.
That makes Panama's figure about 1.4 times Bulgaria's.
The two have swapped places 5 times across 27 shared years of data; in 1998 it was Bulgaria ahead.
Bulgaria ranks 69th and Panama ranks 66th of 99 countries.
Across the 4 decades both report, Bulgaria averaged higher in 2 and Panama in 2.
Head to head by decade
| Decade | Bulgaria | Panama | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 76,628 1000 SLC | 5,441 1000 SLC | 71,186 1000 SLC | Bulgaria |
| 2000s | 27,110 1000 SLC | 23,050 1000 SLC | 4,060 1000 SLC | Bulgaria |
| 2010s | 19,365 1000 SLC | 29,172 1000 SLC | 9,807 1000 SLC | Panama |
| 2020s | 25,547 1000 SLC | 32,028 1000 SLC | 6,481 1000 SLC | Panama |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production value, Bulgaria or Panama?
- Panama, at 46,630 1000 SLC against 32,299 1000 SLC in Bulgaria as of 2024.
- What is the difference in watermelons — gross production value between Bulgaria and Panama?
- 14,331 1000 SLC, with Panama ahead.
- How many years of comparable data are there for Bulgaria and Panama?
- 27 years are reported by both, from 1998 to 2024.
- How do Bulgaria and Panama rank globally for watermelons — gross production value?
- Bulgaria ranks 69th and Panama ranks 66th of 99 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.