Mali vs Western Asia: Watermelons — Gross Production Index Number
Mali
153.37
in 2024
Western Asia
88.51
in 2024
Mali rank
22nd
Western Asia rank
25th
Watermelons — Gross Production Index Number over time
- Mali
- Western Asia
How they compare
Mali currently reports 153.37 against 88.51 in Western Asia, a difference of 64.86.
That makes Mali's figure about 1.7 times Western Asia's.
The two have swapped places 3 times across 64 shared years of data; in 1961 it was Western Asia ahead.
Mali ranks 22nd and Western Asia ranks 25th of 109 countries.
Across the 7 decades both report, Mali averaged higher in 2 and Western Asia in 5.
Head to head by decade
| Decade | Mali | Western Asia | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 25.83 | 49.23 | 23.39 | Western Asia |
| 1970s | 42.07 | 65.66 | 23.59 | Western Asia |
| 1980s | 53.1 | 84.76 | 31.66 | Western Asia |
| 1990s | 69.07 | 92.34 | 23.28 | Western Asia |
| 2000s | 87.15 | 108.13 | 20.98 | Western Asia |
| 2010s | 117.58 | 101.43 | 16.15 | Mali |
| 2020s | 145.69 | 93.87 | 51.82 | Mali |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production index number, Mali or Western Asia?
- Mali, at 153.37 against 88.51 in Western Asia as of 2024.
- What is the difference in watermelons — gross production index number between Mali and Western Asia?
- 64.86, with Mali ahead.
- How many years of comparable data are there for Mali and Western Asia?
- 64 years are reported by both, from 1961 to 2024.
- How do Mali and Western Asia rank globally for watermelons — gross production index number?
- Mali ranks 22nd and Western Asia ranks 25th 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.