Morocco vs Suriname: Watermelons — Gross per capita Production Index Number
Morocco
49.44
in 2024
Suriname
46.5
in 2024
Morocco rank
102nd
Suriname rank
105th
Watermelons — Gross per capita Production Index Number over time
- Morocco
- Suriname
How they compare
Morocco currently reports 49.44 against 46.5 in Suriname, a difference of 2.94.
That makes Morocco's figure about 1.1 times Suriname's.
The two have swapped places 5 times across 40 shared years of data; in 1985 it was Suriname ahead.
Morocco ranks 102nd and Suriname ranks 105th of 109 countries.
Across the 5 decades both report, Morocco averaged higher in 2 and Suriname in 3.
Head to head by decade
| Decade | Morocco | Suriname | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 76.94 | 191.8 | 114.85 | Suriname |
| 1990s | 57.27 | 283.25 | 225.99 | Suriname |
| 2000s | 96.02 | 141.68 | 45.66 | Suriname |
| 2010s | 98.62 | 94.53 | 4.09 | Morocco |
| 2020s | 86.64 | 57.18 | 29.46 | Morocco |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, Morocco or Suriname?
- Morocco, at 49.44 against 46.5 in Suriname as of 2024.
- What is the difference in watermelons — gross per capita production index number between Morocco and Suriname?
- 2.94, with Morocco ahead.
- How many years of comparable data are there for Morocco and Suriname?
- 40 years are reported by both, from 1985 to 2024.
- How do Morocco and Suriname rank globally for watermelons — gross per capita production index number?
- Morocco ranks 102nd and Suriname ranks 105th of 109 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Watermelons — Gross per capita 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.