Eastern Europe vs Guyana: Watermelons — Gross per capita Production Index Number
Eastern Europe
92.78
in 2024
Guyana
133.68
in 2024
Eastern Europe rank
21st
Guyana rank
23rd
Watermelons — Gross per capita Production Index Number over time
- Eastern Europe
- Guyana
How they compare
Guyana currently reports 133.68 against 92.78 in Eastern Europe, a difference of 40.9.
That makes Guyana's figure about 1.4 times Eastern Europe's.
The two have swapped places 3 times across 28 shared years of data; in 1997 it was Eastern Europe ahead.
Eastern Europe ranks 21st and Guyana ranks 23rd of 27 groups.
Across the 4 decades both report, Eastern Europe averaged higher in 3 and Guyana in 1.
Head to head by decade
| Decade | Eastern Europe | Guyana | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 64.52 | 0.88 | 63.64 | Eastern Europe |
| 2000s | 77.31 | 5.24 | 72.07 | Eastern Europe |
| 2010s | 101.68 | 75.7 | 25.98 | Eastern Europe |
| 2020s | 88.05 | 138.01 | 49.96 | Guyana |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, Eastern Europe or Guyana?
- Guyana, at 133.68 against 92.78 in Eastern Europe as of 2024.
- What is the difference in watermelons — gross per capita production index number between Eastern Europe and Guyana?
- 40.9, with Guyana ahead.
- How many years of comparable data are there for Eastern Europe and Guyana?
- 28 years are reported by both, from 1997 to 2024.
- How do Eastern Europe and Guyana rank globally for watermelons — gross per capita production index number?
- Eastern Europe ranks 21st and Guyana ranks 23rd of 27 groups.
- 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.