Central Asia vs Saint Lucia: Watermelons — Gross per capita Production Index Number
Central Asia
89.59
in 2024
Saint Lucia
130.53
in 2024
Central Asia rank
24th
Saint Lucia rank
25th
Watermelons — Gross per capita Production Index Number over time
- Central Asia
- Saint Lucia
How they compare
Saint Lucia currently reports 130.53 against 89.59 in Central Asia, a difference of 40.94.
That makes Saint Lucia's figure about 1.5 times Central Asia's.
The two have swapped places 5 times across 21 shared years of data; in 2004 it was Central Asia ahead.
Central Asia ranks 24th and Saint Lucia ranks 25th of 27 groups.
Across the 3 decades both report, Central Asia averaged higher in 1 and Saint Lucia in 2.
Head to head by decade
| Decade | Central Asia | Saint Lucia | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 55.71 | 44.89 | 10.81 | Central Asia |
| 2010s | 92.33 | 93.73 | 1.4 | Saint Lucia |
| 2020s | 91.19 | 116.43 | 25.25 | Saint Lucia |
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 Saint Lucia?
- Saint Lucia, at 130.53 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 Saint Lucia?
- 40.94, with Saint Lucia ahead.
- How many years of comparable data are there for Central Asia and Saint Lucia?
- 21 years are reported by both, from 2004 to 2024.
- How do Central Asia and Saint Lucia rank globally for watermelons — gross per capita production index number?
- Central Asia ranks 24th and Saint Lucia ranks 25th 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.