Greece vs Sudan (former): Watermelons — Gross Production Value
Greece
166,288 1000 SLC
in 2024
Sudan (former)
270,842 1000 SLC
in 2011
Greece rank
52nd
Sudan (former) rank
49th
Watermelons — Gross Production Value over time
- Greece
- Sudan (former)
How they compare
Sudan (former) currently reports 270,842 1000 SLC against 166,288 1000 SLC in Greece, a difference of 104,554 1000 SLC.
That makes Sudan (former)'s figure about 1.6 times Greece's.
The two have swapped places 1 time across 21 shared years of data; in 1991 it was Greece ahead.
Greece ranks 52nd and Sudan (former) ranks 49th of 91 countries.
Across the 3 decades both report, Greece averaged higher in 1 and Sudan (former) in 2.
Head to head by decade
| Decade | Greece | Sudan (former) | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 134,543 1000 SLC | 5,322 1000 SLC | 129,221 1000 SLC | Greece |
| 2000s | 130,537 1000 SLC | 268,715 1000 SLC | 138,178 1000 SLC | Sudan (former) |
| 2010s | 113,780 1000 SLC | 290,912 1000 SLC | 177,132 1000 SLC | Sudan (former) |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production value, Greece or Sudan (former)?
- Sudan (former), at 270,842 1000 SLC against 166,288 1000 SLC in Greece as of 2011.
- What is the difference in watermelons — gross production value between Greece and Sudan (former)?
- 104,554 1000 SLC, with Sudan (former) ahead.
- How many years of comparable data are there for Greece and Sudan (former)?
- 21 years are reported by both, from 1991 to 2011.
- How do Greece and Sudan (former) rank globally for watermelons — gross production value?
- Greece ranks 52nd and Sudan (former) ranks 49th 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.