Northern Africa vs Singapore: Total Credit — Value US$
Total Credit — Value US$ over time
- Northern Africa
- Singapore
How they compare
Singapore currently reports 624,838 million USD against 286,451 million USD in Northern Africa, a difference of 338,387 million USD.
That makes Singapore's figure about 2.2 times Northern Africa's.
Across all 15 years both countries report, Singapore has been ahead every year.
Northern Africa ranks 23rd and Singapore ranks 18th of 29 groups.
Singapore has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Northern Africa | Singapore | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 240,997 million USD | 426,259 million USD | 185,262 million USD | Singapore |
| 2020s | 294,575 million USD | 581,041 million USD | 286,466 million USD | Singapore |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher total credit — value us$, Northern Africa or Singapore?
- Singapore, at 624,838 million USD against 286,451 million USD in Northern Africa as of 2024.
- What is the difference in total credit — value us$ between Northern Africa and Singapore?
- 338,387 million USD, with Singapore ahead.
- How many years of comparable data are there for Northern Africa and Singapore?
- 15 years are reported by both, from 2010 to 2024.
- How do Northern Africa and Singapore rank globally for total credit — value us$?
- Northern Africa ranks 23rd and Singapore ranks 18th of 29 groups.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Total Credit — Value US$. 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.