Singapore vs Sudan: Credit to Agriculture, Forestry and Fishing — Value Standard Local
Credit to Agriculture, Forestry and Fishing — Value Standard Local over time
- Singapore
- Sudan
How they compare
Sudan currently reports 1,741 million SLC against 1,393 million SLC in Singapore, a difference of 348 million SLC.
That makes Sudan's figure about 1.2 times Singapore's.
Across all 11 years both countries report, Sudan has been ahead every year.
Singapore ranks 77th and Sudan ranks 76th of 118 countries.
Sudan has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Singapore | Sudan | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 4,128 million SLC | 12,587 million SLC | 8,458 million SLC | Sudan |
| 2020s | 1,706 million SLC | 7,650 million SLC | 5,944 million SLC | Sudan |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher credit to agriculture, forestry and fishing — value standard local, Singapore or Sudan?
- Sudan, at 1,741 million SLC against 1,393 million SLC in Singapore as of 2022.
- What is the difference in credit to agriculture, forestry and fishing — value standard local between Singapore and Sudan?
- 348 million SLC, with Sudan ahead.
- How many years of comparable data are there for Singapore and Sudan?
- 11 years are reported by both, from 2012 to 2022.
- How do Singapore and Sudan rank globally for credit to agriculture, forestry and fishing — value standard local?
- Singapore ranks 77th and Sudan ranks 76th of 118 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Credit to Agriculture, Forestry and Fishing — 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.