Bhutan vs Malaysia: Sugar cane — Gross Production Value
Bhutan
6,033 1000 SLC
in 2024
Malaysia
14,950 1000 SLC
in 2024
Bhutan rank
57th
Malaysia rank
55th
Sugar cane — Gross Production Value over time
- Bhutan
- Malaysia
How they compare
Malaysia currently reports 14,950 1000 SLC against 6,033 1000 SLC in Bhutan, a difference of 8,917 1000 SLC.
That makes Malaysia's figure about 2.5 times Bhutan's.
Across all 43 years both countries report, Malaysia has been ahead every year.
Bhutan ranks 57th and Malaysia ranks 55th of 63 countries.
Malaysia has averaged higher in every one of the 5 decades both report.
Head to head by decade
| Decade | Bhutan | Malaysia | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 233,423 1000 SLC | 990,657 1000 SLC | 757,234 1000 SLC | Malaysia |
| 1990s | 44,391 1000 SLC | 1.32 million 1000 SLC | 1.27 million 1000 SLC | Malaysia |
| 2000s | 18,980 1000 SLC | 580,350 1000 SLC | 561,370 1000 SLC | Malaysia |
| 2010s | 7,843 1000 SLC | 69,034 1000 SLC | 61,191 1000 SLC | Malaysia |
| 2020s | 5,991 1000 SLC | 19,686 1000 SLC | 13,695 1000 SLC | Malaysia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher sugar cane — gross production value, Bhutan or Malaysia?
- Malaysia, at 14,950 1000 SLC against 6,033 1000 SLC in Bhutan as of 2024.
- What is the difference in sugar cane — gross production value between Bhutan and Malaysia?
- 8,917 1000 SLC, with Malaysia ahead.
- How many years of comparable data are there for Bhutan and Malaysia?
- 43 years are reported by both, from 1982 to 2024.
- How do Bhutan and Malaysia rank globally for sugar cane — gross production value?
- Bhutan ranks 57th and Malaysia ranks 55th of 63 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Sugar cane — Gross Production Value (constant 2014-2016 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.