Argentina vs Malaysia: Credit to Agriculture — Value US$
Credit to Agriculture — Value US$ over time
- Argentina
- Malaysia
How they compare
Malaysia currently reports 7,403 million USD against 5,936 million USD in Argentina, a difference of 1,467 million USD.
That makes Malaysia's figure about 1.2 times Argentina's.
The two have swapped places 6 times across 17 shared years of data; in 2004 it was Malaysia ahead.
Argentina ranks 5th and Malaysia ranks 4th of 59 countries.
Across the 3 decades both report, Argentina averaged higher in 2 and Malaysia in 1.
Head to head by decade
| Decade | Argentina | Malaysia | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 3,237 million USD | 3,229 million USD | 7.85 million USD | Argentina |
| 2010s | 8,023 million USD | 7,759 million USD | 263.43 million USD | Argentina |
| 2020s | 5,936 million USD | 7,623 million USD | 1,687 million USD | Malaysia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher credit to agriculture — value us$, Argentina or Malaysia?
- Malaysia, at 7,403 million USD against 5,936 million USD in Argentina as of 2024.
- What is the difference in credit to agriculture — value us$ between Argentina and Malaysia?
- 1,467 million USD, with Malaysia ahead.
- How many years of comparable data are there for Argentina and Malaysia?
- 17 years are reported by both, from 2004 to 2020.
- How do Argentina and Malaysia rank globally for credit to agriculture — value us$?
- Argentina ranks 5th and Malaysia ranks 4th of 59 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Credit to Agriculture — Value US$. 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.