Malaysia vs Peru: Credit to Agriculture — Value US$, 2015 prices
Credit to Agriculture — Value US$, 2015 prices over time
- Malaysia
- Peru
How they compare
Malaysia currently reports 7,145 million USD against 2,247 million USD in Peru, a difference of 4,898 million USD.
That makes Malaysia's figure about 3.2 times Peru's.
Across all 8 years both countries report, Malaysia has been ahead every year.
Malaysia ranks 5th and Peru ranks 7th of 59 countries.
Malaysia has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Malaysia | Peru | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 4,328 million USD | 1,117 million USD | 3,212 million USD | Malaysia |
| 2010s | 6,657 million USD | 1,836 million USD | 4,821 million USD | Malaysia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher credit to agriculture — value us$, 2015 prices, Malaysia or Peru?
- Malaysia, at 7,145 million USD against 2,247 million USD in Peru as of 2024.
- What is the difference in credit to agriculture — value us$, 2015 prices between Malaysia and Peru?
- 4,898 million USD, with Malaysia ahead.
- How many years of comparable data are there for Malaysia and Peru?
- 8 years are reported by both, from 2008 to 2015.
- How do Malaysia and Peru rank globally for credit to agriculture — value us$, 2015 prices?
- Malaysia ranks 5th and Peru ranks 7th of 59 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Credit to Agriculture — Value US$, 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.