Malaysia vs Suriname: Soya beans — Gross Production Value
Malaysia
3 1000 SLC
in 1990
Suriname
32 1000 SLC
in 2024
Malaysia rank
73rd
Suriname rank
71st
Soya beans — Gross Production Value over time
- Malaysia
- Suriname
How they compare
Suriname currently reports 32 1000 SLC against 3 1000 SLC in Malaysia, a difference of 29 1000 SLC.
That makes Suriname's figure about 10.7 times Malaysia's.
The two have swapped places 2 times across 30 shared years of data; in 1961 it was Suriname ahead.
Malaysia ranks 73rd and Suriname ranks 71st of 73 countries.
Suriname has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Malaysia | Suriname | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 41.33 1000 SLC | 1,101 1000 SLC | 1,060 1000 SLC | Suriname |
| 1970s | 188.2 1000 SLC | 542.5 1000 SLC | 354.3 1000 SLC | Suriname |
| 1980s | 43.1 1000 SLC | 369.3 1000 SLC | 326.2 1000 SLC | Suriname |
| 1990s | 3 1000 SLC | 450 1000 SLC | 447 1000 SLC | Suriname |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher soya beans — gross production value, Malaysia or Suriname?
- Suriname, at 32 1000 SLC against 3 1000 SLC in Malaysia as of 2024.
- What is the difference in soya beans — gross production value between Malaysia and Suriname?
- 29 1000 SLC, with Suriname ahead.
- How many years of comparable data are there for Malaysia and Suriname?
- 30 years are reported by both, from 1961 to 1990.
- How do Malaysia and Suriname rank globally for soya beans — gross production value?
- Malaysia ranks 73rd and Suriname ranks 71st of 73 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Soya beans — 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.