Bhutan vs Honduras: Soya beans — Gross Production Value
Bhutan
9,438 1000 SLC
in 2024
Honduras
21,379 1000 SLC
in 2024
Bhutan rank
59th
Honduras rank
56th
Soya beans — Gross Production Value over time
- Bhutan
- Honduras
How they compare
Honduras currently reports 21,379 1000 SLC against 9,438 1000 SLC in Bhutan, a difference of 11,941 1000 SLC.
That makes Honduras's figure about 2.3 times Bhutan's.
The two have swapped places 8 times across 32 shared years of data; in 1993 it was Honduras ahead.
Bhutan ranks 59th and Honduras ranks 56th of 75 countries.
Across the 4 decades both report, Bhutan averaged higher in 1 and Honduras in 3.
Head to head by decade
| Decade | Bhutan | Honduras | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 3,179 1000 SLC | 21,569 1000 SLC | 18,390 1000 SLC | Honduras |
| 2000s | 10,394 1000 SLC | 9,644 1000 SLC | 749.5 1000 SLC | Bhutan |
| 2010s | 13,046 1000 SLC | 16,241 1000 SLC | 3,195 1000 SLC | Honduras |
| 2020s | 8,310 1000 SLC | 21,220 1000 SLC | 12,910 1000 SLC | Honduras |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher soya beans — gross production value, Bhutan or Honduras?
- Honduras, at 21,379 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 Honduras?
- 11,941 1000 SLC, with Honduras ahead.
- How many years of comparable data are there for Bhutan and Honduras?
- 32 years are reported by both, from 1993 to 2024.
- How do Bhutan and Honduras rank globally for soya beans — gross production value?
- Bhutan ranks 59th and Honduras ranks 56th 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.