Central Asia vs Guyana: Watermelons — Gross per capita Production Index Number
Central Asia
89.59
in 2024
Guyana
133.68
in 2024
Central Asia rank
24th
Guyana rank
23rd
Watermelons — Gross per capita Production Index Number over time
- Central Asia
- Guyana
How they compare
Guyana currently reports 133.68 against 89.59 in Central Asia, a difference of 44.09.
That makes Guyana's figure about 1.5 times Central Asia's.
The two have swapped places 1 time across 28 shared years of data; in 1997 it was Central Asia ahead.
Central Asia ranks 24th and Guyana ranks 23rd of 27 groups.
Across the 4 decades both report, Central Asia averaged higher in 3 and Guyana in 1.
Head to head by decade
| Decade | Central Asia | Guyana | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 33.03 | 0.88 | 32.15 | Central Asia |
| 2000s | 49.56 | 5.24 | 44.32 | Central Asia |
| 2010s | 92.33 | 75.7 | 16.63 | Central Asia |
| 2020s | 91.19 | 138.01 | 46.83 | Guyana |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, Central Asia or Guyana?
- Guyana, at 133.68 against 89.59 in Central Asia as of 2024.
- What is the difference in watermelons — gross per capita production index number between Central Asia and Guyana?
- 44.09, with Guyana ahead.
- How many years of comparable data are there for Central Asia and Guyana?
- 28 years are reported by both, from 1997 to 2024.
- How do Central Asia and Guyana rank globally for watermelons — gross per capita production index number?
- Central Asia ranks 24th 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.