Bhutan vs Philippines: Soya beans — Gross Production Value
Bhutan
9,438 1000 SLC
in 2024
Philippines
20,751 1000 SLC
in 2024
Bhutan rank
59th
Philippines rank
57th
Soya beans — Gross Production Value over time
- Bhutan
- Philippines
How they compare
Philippines currently reports 20,751 1000 SLC against 9,438 1000 SLC in Bhutan, a difference of 11,313 1000 SLC.
That makes Philippines's figure about 2.2 times Bhutan's.
The two have swapped places 8 times across 34 shared years of data; in 1991 it was Philippines ahead.
Bhutan ranks 59th and Philippines ranks 57th of 75 countries.
Philippines has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Bhutan | Philippines | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 2,692 1000 SLC | 20,458 1000 SLC | 17,766 1000 SLC | Philippines |
| 2000s | 10,394 1000 SLC | 16,613 1000 SLC | 6,220 1000 SLC | Philippines |
| 2010s | 13,046 1000 SLC | 14,203 1000 SLC | 1,157 1000 SLC | Philippines |
| 2020s | 8,310 1000 SLC | 15,798 1000 SLC | 7,488 1000 SLC | Philippines |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher soya beans — gross production value, Bhutan or Philippines?
- Philippines, at 20,751 1000 SLC against 9,438 1000 SLC in Bhutan as of 2024.
- What is the difference in soya beans — gross production value between Bhutan and Philippines?
- 11,313 1000 SLC, with Philippines ahead.
- How many years of comparable data are there for Bhutan and Philippines?
- 34 years are reported by both, from 1991 to 2024.
- How do Bhutan and Philippines rank globally for soya beans — gross production value?
- Bhutan ranks 59th and Philippines ranks 57th of 75 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.