Brazil vs Malaysia: Credit to Agriculture, Forestry and Fishing — Value US$, 2015 prices
Credit to Agriculture, Forestry and Fishing — Value US$, 2015 prices over time
- Brazil
- Malaysia
How they compare
Brazil currently reports 9,316 million USD against 7,513 million USD in Malaysia, a difference of 1,803 million USD.
That makes Brazil's figure about 1.2 times Malaysia's.
The two have swapped places 2 times across 13 shared years of data; in 2012 it was Brazil ahead.
Brazil ranks 17th and Malaysia ranks 19th of 119 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 | 7,777 million USD | 8,559 million USD | 782.47 million USD | Malaysia |
| 2020s | 8,655 million USD | 7,993 million USD | 662.55 million USD | Brazil |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher credit to agriculture, forestry and fishing — value us$, 2015 prices, Brazil or Malaysia?
- Brazil, at 9,316 million USD against 7,513 million USD in Malaysia as of 2024.
- What is the difference in credit to agriculture, forestry and fishing — value us$, 2015 prices between Brazil and Malaysia?
- 1,803 million USD, with Brazil ahead.
- How many years of comparable data are there for Brazil and Malaysia?
- 13 years are reported by both, from 2012 to 2024.
- How do Brazil and Malaysia rank globally for credit to agriculture, forestry and fishing — value us$, 2015 prices?
- Brazil ranks 17th and Malaysia ranks 19th of 119 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Credit to Agriculture, Forestry and Fishing — Value US$, 2015 prices. 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.