Malaysia vs Sudan (former): Bananas — Gross Production Value
Bananas — Gross Production Value over time
- Malaysia
- Sudan (former)
How they compare
Sudan (former) currently reports 1.37 million 1000 SLC against 900,413 1000 SLC in Malaysia, a difference of 473,587 1000 SLC.
That makes Sudan (former)'s figure about 1.5 times Malaysia's.
The two have swapped places 1 time across 21 shared years of data; in 1991 it was Malaysia ahead.
Malaysia ranks 45th and Sudan (former) ranks 43rd of 82 countries.
Across the 3 decades both report, Malaysia averaged higher in 1 and Sudan (former) in 2.
Head to head by decade
| Decade | Malaysia | Sudan (former) | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 242,486 1000 SLC | 29,490 1000 SLC | 212,996 1000 SLC | Malaysia |
| 2000s | 306,168 1000 SLC | 585,216 1000 SLC | 279,048 1000 SLC | Sudan (former) |
| 2010s | 334,116 1000 SLC | 1.37 million 1000 SLC | 1.04 million 1000 SLC | Sudan (former) |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher bananas — gross production value, Malaysia or Sudan (former)?
- Sudan (former), at 1.37 million 1000 SLC against 900,413 1000 SLC in Malaysia as of 2011.
- What is the difference in bananas — gross production value between Malaysia and Sudan (former)?
- 473,587 1000 SLC, with Sudan (former) ahead.
- How many years of comparable data are there for Malaysia and Sudan (former)?
- 21 years are reported by both, from 1991 to 2011.
- How do Malaysia and Sudan (former) rank globally for bananas — gross production value?
- Malaysia ranks 45th and Sudan (former) ranks 43rd of 82 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Bananas — 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.