Malta vs Sudan: Total Credit — Value Standard Local Currency, 2015 prices
Total Credit — Value Standard Local Currency, 2015 prices over time
- Malta
- Sudan
How they compare
Malta currently reports 10,905 million SLC against 9,382 million SLC in Sudan, a difference of 1,523 million SLC.
That makes Malta's figure about 1.2 times Sudan's.
The two have swapped places 1 time across 11 shared years of data; in 2012 it was Sudan ahead.
Malta ranks 130th and Sudan ranks 133rd of 165 countries.
Sudan has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Malta | Sudan | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 8,753 million SLC | 59,045 million SLC | 50,292 million SLC | Sudan |
| 2020s | 10,056 million SLC | 31,666 million SLC | 21,610 million SLC | Sudan |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher total credit — value standard local currency, 2015 prices, Malta or Sudan?
- Malta, at 10,905 million SLC against 9,382 million SLC in Sudan as of 2024.
- What is the difference in total credit — value standard local currency, 2015 prices between Malta and Sudan?
- 1,523 million SLC, with Malta ahead.
- How many years of comparable data are there for Malta and Sudan?
- 11 years are reported by both, from 2012 to 2022.
- How do Malta and Sudan rank globally for total credit — value standard local currency, 2015 prices?
- Malta ranks 130th and Sudan ranks 133rd of 165 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Total Credit — Value Standard Local Currency, 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.