Americas vs Qatar: Watermelons — Gross Production Index Number
Americas
113.96
in 2024
Qatar
567.24
in 2024
Americas rank
12th
Qatar rank
3rd
Watermelons — Gross Production Index Number over time
- Americas
- Qatar
How they compare
Qatar currently reports 567.24 against 113.96 in Americas, a difference of 453.28.
That makes Qatar's figure about 5.0 times Americas's.
The two have swapped places 4 times across 48 shared years of data; in 1977 it was Qatar ahead.
Americas ranks 12th and Qatar ranks 3rd of 27 groups.
Qatar has averaged higher in every one of the 6 decades both report.
Head to head by decade
| Decade | Americas | Qatar | Difference | Ahead |
|---|---|---|---|---|
| 1970s | 40.25 | 958.17 | 917.92 | Qatar |
| 1980s | 41.87 | 734.5 | 692.64 | Qatar |
| 1990s | 59.83 | 894.05 | 834.22 | Qatar |
| 2000s | 88.47 | 291.63 | 203.16 | Qatar |
| 2010s | 102.92 | 133.44 | 30.52 | Qatar |
| 2020s | 108.36 | 363.36 | 255 | Qatar |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production index number, Americas or Qatar?
- Qatar, at 567.24 against 113.96 in Americas as of 2024.
- What is the difference in watermelons — gross production index number between Americas and Qatar?
- 453.28, with Qatar ahead.
- How many years of comparable data are there for Americas and Qatar?
- 48 years are reported by both, from 1977 to 2024.
- How do Americas and Qatar rank globally for watermelons — gross production index number?
- Americas ranks 12th and Qatar ranks 3rd of 27 groups.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Watermelons — Gross Production Index Number (2014-2016 = 100). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The FAO indices of agricultural production show the relative level of the aggregate volume of agricultural production for each year in comparison with the base period 2014-2016. Indices for meat production are computed based on data on production from indigenous animals.