Guyana vs South-Eastern Asia: Watermelons — Gross Production Index Number
Guyana
146.29
in 2024
South-Eastern Asia
96.99
in 2024
Guyana rank
24th
South-Eastern Asia rank
23rd
Watermelons — Gross Production Index Number over time
- Guyana
- South-Eastern Asia
How they compare
Guyana currently reports 146.29 against 96.99 in South-Eastern Asia, a difference of 49.3.
That makes Guyana's figure about 1.5 times South-Eastern Asia's.
The two have swapped places 3 times across 28 shared years of data; in 1997 it was South-Eastern Asia ahead.
Guyana ranks 24th and South-Eastern Asia ranks 23rd of 109 countries.
Across the 4 decades both report, Guyana averaged higher in 1 and South-Eastern Asia in 3.
Head to head by decade
| Decade | Guyana | South-Eastern Asia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 0.89 | 44.14 | 43.25 | South-Eastern Asia |
| 2000s | 5.24 | 69.46 | 64.23 | South-Eastern Asia |
| 2010s | 76.77 | 96.41 | 19.64 | South-Eastern Asia |
| 2020s | 149.05 | 98.57 | 50.48 | Guyana |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production index number, Guyana or South-Eastern Asia?
- Guyana, at 146.29 against 96.99 in South-Eastern Asia as of 2024.
- What is the difference in watermelons — gross production index number between Guyana and South-Eastern Asia?
- 49.3, with Guyana ahead.
- How many years of comparable data are there for Guyana and South-Eastern Asia?
- 28 years are reported by both, from 1997 to 2024.
- How do Guyana and South-Eastern Asia rank globally for watermelons — gross production index number?
- Guyana ranks 24th and South-Eastern Asia ranks 23rd 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.