Qatar vs Western Africa: Watermelons — Gross Production Index Number
Qatar
567.24
in 2024
Western Africa
395.12
in 2024
Qatar rank
3rd
Western Africa rank
1st
Watermelons — Gross Production Index Number over time
- Qatar
- Western Africa
How they compare
Qatar currently reports 567.24 against 395.12 in Western Africa, a difference of 172.12.
That makes Qatar's figure about 1.4 times Western Africa's.
The two have swapped places 6 times across 48 shared years of data; in 1977 it was Qatar ahead.
Qatar ranks 3rd and Western Africa ranks 1st of 109 countries.
Across the 6 decades both report, Qatar averaged higher in 5 and Western Africa in 1.
Head to head by decade
| Decade | Qatar | Western Africa | Difference | Ahead |
|---|---|---|---|---|
| 1970s | 958.17 | 23.07 | 935.1 | Qatar |
| 1980s | 734.5 | 28.72 | 705.78 | Qatar |
| 1990s | 894.05 | 61.64 | 832.4 | Qatar |
| 2000s | 291.63 | 79.24 | 212.39 | Qatar |
| 2010s | 133.44 | 131.16 | 2.28 | Qatar |
| 2020s | 363.36 | 365.69 | 2.33 | Western Africa |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production index number, Qatar or Western Africa?
- Qatar, at 567.24 against 395.12 in Western Africa as of 2024.
- What is the difference in watermelons — gross production index number between Qatar and Western Africa?
- 172.12, with Qatar ahead.
- How many years of comparable data are there for Qatar and Western Africa?
- 48 years are reported by both, from 1977 to 2024.
- How do Qatar and Western Africa rank globally for watermelons — gross production index number?
- Qatar ranks 3rd and Western Africa ranks 1st of 109 countries.
- 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.