Saint Lucia vs Western Asia: Watermelons — Gross per capita Production Index Number
Saint Lucia
130.53
in 2024
Western Asia
75.69
in 2024
Saint Lucia rank
25th
Western Asia rank
25th
Watermelons — Gross per capita Production Index Number over time
- Saint Lucia
- Western Asia
How they compare
Saint Lucia currently reports 130.53 against 75.69 in Western Asia, a difference of 54.84.
That makes Saint Lucia's figure about 1.7 times Western Asia's.
The two have swapped places 1 time across 21 shared years of data; in 2004 it was Western Asia ahead.
Saint Lucia ranks 25th and Western Asia ranks 25th of 109 countries.
Across the 3 decades both report, Saint Lucia averaged higher in 1 and Western Asia in 2.
Head to head by decade
| Decade | Saint Lucia | Western Asia | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 44.89 | 132.25 | 87.36 | Western Asia |
| 2010s | 93.73 | 103.36 | 9.63 | Western Asia |
| 2020s | 116.43 | 83.46 | 32.97 | Saint Lucia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, Saint Lucia or Western Asia?
- Saint Lucia, at 130.53 against 75.69 in Western Asia as of 2024.
- What is the difference in watermelons — gross per capita production index number between Saint Lucia and Western Asia?
- 54.84, with Saint Lucia ahead.
- How many years of comparable data are there for Saint Lucia and Western Asia?
- 21 years are reported by both, from 2004 to 2024.
- How do Saint Lucia and Western Asia rank globally for watermelons — gross per capita production index number?
- Saint Lucia ranks 25th and Western Asia ranks 25th of 109 countries.
- 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.