Eastern Africa vs Qatar: Watermelons — Gross Production Index Number
Eastern Africa
193.28
in 2024
Qatar
567.24
in 2024
Eastern Africa rank
4th
Qatar rank
3rd
Watermelons — Gross Production Index Number over time
- Eastern Africa
- Qatar
How they compare
Qatar currently reports 567.24 against 193.28 in Eastern Africa, a difference of 373.96.
That makes Qatar's figure about 2.9 times Eastern Africa's.
The two have swapped places 4 times across 48 shared years of data; in 1977 it was Qatar ahead.
Eastern Africa ranks 4th 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 | Eastern Africa | Qatar | Difference | Ahead |
|---|---|---|---|---|
| 1970s | 0 | 958.17 | 958.17 | Qatar |
| 1980s | 3.43 | 734.5 | 731.07 | Qatar |
| 1990s | 12.29 | 894.05 | 881.75 | Qatar |
| 2000s | 17.32 | 291.63 | 274.32 | Qatar |
| 2010s | 95.21 | 133.44 | 38.23 | Qatar |
| 2020s | 247.46 | 363.36 | 115.9 | Qatar |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production index number, Eastern Africa or Qatar?
- Qatar, at 567.24 against 193.28 in Eastern Africa as of 2024.
- What is the difference in watermelons — gross production index number between Eastern Africa and Qatar?
- 373.96, with Qatar ahead.
- How many years of comparable data are there for Eastern Africa and Qatar?
- 48 years are reported by both, from 1977 to 2024.
- How do Eastern Africa and Qatar rank globally for watermelons — gross production index number?
- Eastern Africa ranks 4th 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.