Brazil vs Malaysia: Credit to Agriculture — Value US$
Credit to Agriculture — Value US$ over time
- Brazil
- Malaysia
How they compare
Brazil currently reports 7,432 million USD against 7,403 million USD in Malaysia, a difference of 29 million USD.
The two have swapped places 1 time across 10 shared years of data; in 2012 it was Brazil ahead.
Brazil ranks 3rd and Malaysia ranks 4th of 59 countries.
Across the 2 decades both report, Brazil averaged higher in 1 and Malaysia in 1.
Head to head by decade
| Decade | Brazil | Malaysia | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 9,664 million USD | 8,239 million USD | 1,425 million USD | Brazil |
| 2020s | 6,966 million USD | 8,026 million USD | 1,060 million USD | Malaysia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher credit to agriculture — value us$, Brazil or Malaysia?
- Brazil, at 7,432 million USD against 7,403 million USD in Malaysia as of 2021.
- What is the difference in credit to agriculture — value us$ between Brazil and Malaysia?
- 29 million USD, with Brazil ahead.
- How many years of comparable data are there for Brazil and Malaysia?
- 10 years are reported by both, from 2012 to 2021.
- How do Brazil and Malaysia rank globally for credit to agriculture — value us$?
- Brazil ranks 3rd and Malaysia ranks 4th of 59 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Credit to Agriculture — Value US$. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Credit to agriculture measures the amount of loans and advances given by the banking sector to farmers, rural households, agricultural cooperatives, or any other agri-related businesses. Each country’s central bank compiles its credit stocks by economic activities as part of its monetary and financial statistics publications via annual or quarterly reports online. Data collection has been carried out mostly through reports found on the central bank websites. Data are collected and compiled according to the International Standard Industrial Classification of All Economic Activities (ISIC Rev. 4: https://unstats.un.org/unsd/classifications/Econ/isic) with a special concentration on the credit to agriculture, forestry and fishing sector separately from the ones to manufacturing and services.