Singapore vs South America: Total Credit — Value US$
Total Credit — Value US$ over time
- Singapore
- South America
How they compare
South America currently reports 1.15 million million USD against 624,838 million USD in Singapore, a difference of 524,342 million USD.
That makes South America's figure about 1.8 times Singapore's.
Across all 15 years both countries report, South America has been ahead every year.
Singapore ranks 18th and South America ranks 16th of 166 countries.
South America has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Singapore | South America | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 426,259 million USD | 1.15 million million USD | 724,837 million USD | South America |
| 2020s | 581,041 million USD | 1.10 million million USD | 516,866 million USD | South America |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher total credit — value us$, Singapore or South America?
- South America, at 1.15 million million USD against 624,838 million USD in Singapore as of 2024.
- What is the difference in total credit — value us$ between Singapore and South America?
- 524,342 million USD, with South America ahead.
- How many years of comparable data are there for Singapore and South America?
- 15 years are reported by both, from 2010 to 2024.
- How do Singapore and South America rank globally for total credit — value us$?
- Singapore ranks 18th and South America ranks 16th of 166 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Total Credit — Value US$. 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.