Guyana vs Southern Asia: Watermelons — Gross per capita Production Index Number
Guyana
133.68
in 2024
Southern Asia
94.17
in 2024
Guyana rank
23rd
Southern Asia rank
20th
Watermelons — Gross per capita Production Index Number over time
- Guyana
- Southern Asia
How they compare
Guyana currently reports 133.68 against 94.17 in Southern Asia, a difference of 39.51.
That makes Guyana's figure about 1.4 times Southern Asia's.
The two have swapped places 5 times across 28 shared years of data; in 1997 it was Southern Asia ahead.
Guyana ranks 23rd and Southern Asia ranks 20th of 109 countries.
Across the 4 decades both report, Guyana averaged higher in 1 and Southern Asia in 3.
Head to head by decade
| Decade | Guyana | Southern Asia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 0.88 | 66.31 | 65.43 | Southern Asia |
| 2000s | 5.24 | 67.53 | 62.28 | Southern Asia |
| 2010s | 75.7 | 85.65 | 9.96 | Southern Asia |
| 2020s | 138.01 | 94.69 | 43.32 | Guyana |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, Guyana or Southern Asia?
- Guyana, at 133.68 against 94.17 in Southern Asia as of 2024.
- What is the difference in watermelons — gross per capita production index number between Guyana and Southern Asia?
- 39.51, with Guyana ahead.
- How many years of comparable data are there for Guyana and Southern Asia?
- 28 years are reported by both, from 1997 to 2024.
- How do Guyana and Southern Asia rank globally for watermelons — gross per capita production index number?
- Guyana ranks 23rd and Southern Asia ranks 20th 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.