Malaysia vs Mauritania: Watermelons — Gross Production Index Number
Malaysia
84.14
in 2024
Mauritania
88.14
in 2024
Malaysia rank
88th
Mauritania rank
86th
Watermelons — Gross Production Index Number over time
- Malaysia
- Mauritania
How they compare
Mauritania currently reports 88.14 against 84.14 in Malaysia, a difference of 4.
The two have swapped places 4 times across 64 shared years of data; in 1961 it was Mauritania ahead.
Malaysia ranks 88th and Mauritania ranks 86th of 109 countries.
Across the 7 decades both report, Malaysia averaged higher in 2 and Mauritania in 5.
Head to head by decade
| Decade | Malaysia | Mauritania | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 17.04 | 45.12 | 28.08 | Mauritania |
| 1970s | 36.15 | 75.84 | 39.69 | Mauritania |
| 1980s | 36.69 | 215.41 | 178.72 | Mauritania |
| 1990s | 68.08 | 197.91 | 129.83 | Mauritania |
| 2000s | 85.7 | 21 | 64.7 | Malaysia |
| 2010s | 104.34 | 78.7 | 25.64 | Malaysia |
| 2020s | 75.57 | 88.2 | 12.63 | Mauritania |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production index number, Malaysia or Mauritania?
- Mauritania, at 88.14 against 84.14 in Malaysia as of 2024.
- What is the difference in watermelons — gross production index number between Malaysia and Mauritania?
- 4, with Mauritania ahead.
- How many years of comparable data are there for Malaysia and Mauritania?
- 64 years are reported by both, from 1961 to 2024.
- How do Malaysia and Mauritania rank globally for watermelons — gross production index number?
- Malaysia ranks 88th and Mauritania ranks 86th 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.