Ecuador vs Philippines: Soya beans — Gross Production Value
Ecuador
14,008 1000 SLC
in 2024
Philippines
20,751 1000 SLC
in 2024
Ecuador rank
67th
Philippines rank
66th
Soya beans — Gross Production Value over time
- Ecuador
- Philippines
How they compare
Philippines currently reports 20,751 1000 SLC against 14,008 1000 SLC in Ecuador, a difference of 6,743 1000 SLC.
That makes Philippines's figure about 1.5 times Ecuador's.
The two have swapped places 6 times across 34 shared years of data; in 1991 it was Philippines ahead.
Ecuador ranks 67th and Philippines ranks 66th of 85 countries.
Across the 4 decades both report, Ecuador averaged higher in 2 and Philippines in 2.
Head to head by decade
| Decade | Ecuador | Philippines | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 2,952 1000 SLC | 20,458 1000 SLC | 17,506 1000 SLC | Philippines |
| 2000s | 22,289 1000 SLC | 16,613 1000 SLC | 5,675 1000 SLC | Ecuador |
| 2010s | 27,451 1000 SLC | 14,203 1000 SLC | 13,248 1000 SLC | Ecuador |
| 2020s | 13,007 1000 SLC | 15,798 1000 SLC | 2,791 1000 SLC | Philippines |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher soya beans — gross production value, Ecuador or Philippines?
- Philippines, at 20,751 1000 SLC against 14,008 1000 SLC in Ecuador as of 2024.
- What is the difference in soya beans — gross production value between Ecuador and Philippines?
- 6,743 1000 SLC, with Philippines ahead.
- How many years of comparable data are there for Ecuador and Philippines?
- 34 years are reported by both, from 1991 to 2024.
- How do Ecuador and Philippines rank globally for soya beans — gross production value?
- Ecuador ranks 67th and Philippines ranks 66th of 85 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Soya beans — Gross Production Value (current thousand SLC). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The domain provides detailed data on the value of agricultural production that is calculated by the agricultural production data and the price data at farm gate. Thus, the value of production measures the agricultural production in monetary terms at the farm gate level.