Guyana vs Sudan: Total Credit β Value Standard Local Currency
Total Credit β Value Standard Local Currency over time
- Guyana
- Sudan
How they compare
Sudan currently reports 321,034 million SLC against 286,859 million SLC in Guyana, a difference of 34,175 million SLC.
That makes Sudan's figure about 1.1 times Guyana's.
The two have swapped places 3 times across 11 shared years of data; in 2012 it was Guyana ahead.
Guyana ranks 88th and Sudan ranks 87th of 163 countries.
Across the 2 decades both report, Guyana averaged higher in 1 and Sudan in 1.
Head to head by decade
| Decade | Guyana | Sudan | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 135,367 million SLC | 89,350 million SLC | 46,017 million SLC | Guyana |
| 2020s | 188,667 million SLC | 283,671 million SLC | 95,004 million SLC | Sudan |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher total credit β value standard local currency, Guyana or Sudan?
- Sudan, at 321,034 million SLC against 286,859 million SLC in Guyana as of 2022.
- What is the difference in total credit β value standard local currency between Guyana and Sudan?
- 34,175 million SLC, with Sudan ahead.
- How many years of comparable data are there for Guyana and Sudan?
- 11 years are reported by both, from 2012 to 2022.
- How do Guyana and Sudan rank globally for total credit β value standard local currency?
- Guyana ranks 88th and Sudan ranks 87th of 163 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Total Credit β Value Standard Local Currency. 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 countryβs 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.