Brazil vs Malaysia: Cashew nuts, in shell — Gross Production Value
Brazil
689,335 1000 SLC
in 2024
Malaysia
153,924 1000 SLC
in 2024
Brazil rank
13th
Malaysia rank
16th
Cashew nuts, in shell — Gross Production Value over time
- Brazil
- Malaysia
How they compare
Brazil currently reports 689,335 1000 SLC against 153,924 1000 SLC in Malaysia, a difference of 535,411 1000 SLC.
That makes Brazil's figure about 4.5 times Malaysia's.
The two have swapped places 3 times across 34 shared years of data; in 1991 it was Malaysia ahead.
Brazil ranks 13th and Malaysia ranks 16th of 23 countries.
Brazil has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Brazil | Malaysia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 42,491 1000 SLC | 40,387 1000 SLC | 2,104 1000 SLC | Brazil |
| 2000s | 209,845 1000 SLC | 61,616 1000 SLC | 148,228 1000 SLC | Brazil |
| 2010s | 286,402 1000 SLC | 119,434 1000 SLC | 166,968 1000 SLC | Brazil |
| 2020s | 531,372 1000 SLC | 145,487 1000 SLC | 385,885 1000 SLC | Brazil |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher cashew nuts, in shell — gross production value, Brazil or Malaysia?
- Brazil, at 689,335 1000 SLC against 153,924 1000 SLC in Malaysia as of 2024.
- What is the difference in cashew nuts, in shell — gross production value between Brazil and Malaysia?
- 535,411 1000 SLC, with Brazil ahead.
- How many years of comparable data are there for Brazil and Malaysia?
- 34 years are reported by both, from 1991 to 2024.
- How do Brazil and Malaysia rank globally for cashew nuts, in shell — gross production value?
- Brazil ranks 13th and Malaysia ranks 16th of 23 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Cashew nuts, in shell — 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.