Guinea vs South-Eastern Asia: Watermelons — Gross Production Index Number
Guinea
152.71
in 2024
South-Eastern Asia
96.99
in 2024
Guinea rank
23rd
South-Eastern Asia rank
23rd
Watermelons — Gross Production Index Number over time
- Guinea
- South-Eastern Asia
How they compare
Guinea currently reports 152.71 against 96.99 in South-Eastern Asia, a difference of 55.72.
That makes Guinea's figure about 1.6 times South-Eastern Asia's.
The two have swapped places 1 time across 10 shared years of data; in 2015 it was South-Eastern Asia ahead.
Guinea ranks 23rd and South-Eastern Asia ranks 23rd of 109 countries.
Guinea has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Guinea | South-Eastern Asia | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 107.95 | 100.1 | 7.85 | Guinea |
| 2020s | 138.57 | 98.57 | 40 | Guinea |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production index number, Guinea or South-Eastern Asia?
- Guinea, at 152.71 against 96.99 in South-Eastern Asia as of 2024.
- What is the difference in watermelons — gross production index number between Guinea and South-Eastern Asia?
- 55.72, with Guinea ahead.
- How many years of comparable data are there for Guinea and South-Eastern Asia?
- 10 years are reported by both, from 2015 to 2024.
- How do Guinea and South-Eastern Asia rank globally for watermelons — gross production index number?
- Guinea ranks 23rd 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.