Brazil vs Malaysia: Total Credit — Value US$
Total Credit — Value US$ over time
- Brazil
- Malaysia
How they compare
Malaysia currently reports 479,560 million USD against 463,276 million USD in Brazil, a difference of 16,284 million USD.
The two have swapped places 1 time across 18 shared years of data; in 2007 it was Brazil ahead.
Brazil ranks 27th and Malaysia ranks 25th of 178 countries.
Across the 3 decades both report, Brazil averaged higher in 2 and Malaysia in 1.
Head to head by decade
| Decade | Brazil | Malaysia | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 347,230 million USD | 207,534 million USD | 139,696 million USD | Brazil |
| 2010s | 539,828 million USD | 369,622 million USD | 170,206 million USD | Brazil |
| 2020s | 409,827 million USD | 460,627 million USD | 50,800 million USD | Malaysia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher total credit — value us$, Brazil or Malaysia?
- Malaysia, at 479,560 million USD against 463,276 million USD in Brazil as of 2024.
- What is the difference in total credit — value us$ between Brazil and Malaysia?
- 16,284 million USD, with Malaysia ahead.
- How many years of comparable data are there for Brazil and Malaysia?
- 18 years are reported by both, from 2007 to 2024.
- How do Brazil and Malaysia rank globally for total credit — value us$?
- Brazil ranks 27th and Malaysia ranks 25th of 178 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Total Credit — Value US$. 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.