Philippines vs Saint Lucia: Ginger, raw — Gross Production Index Number
Philippines
116.72
in 2024
Saint Lucia
125.03
in 2024
Philippines rank
17th
Saint Lucia rank
15th
Ginger, raw — Gross Production Index Number over time
- Philippines
- Saint Lucia
How they compare
Saint Lucia currently reports 125.03 against 116.72 in Philippines, a difference of 8.31.
That makes Saint Lucia's figure about 1.1 times Philippines's.
The two have swapped places 6 times across 44 shared years of data; in 1981 it was Saint Lucia ahead.
Philippines ranks 17th and Saint Lucia ranks 15th of 36 countries.
Across the 5 decades both report, Philippines averaged higher in 3 and Saint Lucia in 2.
Head to head by decade
| Decade | Philippines | Saint Lucia | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 132.01 | 661.13 | 529.13 | Saint Lucia |
| 1990s | 79.33 | 277.34 | 198 | Saint Lucia |
| 2000s | 93.29 | 60.7 | 32.59 | Philippines |
| 2010s | 101.86 | 91.97 | 9.89 | Philippines |
| 2020s | 107.6 | 100.55 | 7.05 | Philippines |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher ginger, raw — gross production index number, Philippines or Saint Lucia?
- Saint Lucia, at 125.03 against 116.72 in Philippines as of 2024.
- What is the difference in ginger, raw — gross production index number between Philippines and Saint Lucia?
- 8.31, with Saint Lucia ahead.
- How many years of comparable data are there for Philippines and Saint Lucia?
- 44 years are reported by both, from 1981 to 2024.
- How do Philippines and Saint Lucia rank globally for ginger, raw — gross production index number?
- Philippines ranks 17th and Saint Lucia ranks 15th of 36 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Ginger, raw — 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.