Georgia vs Myanmar: Total Credit — Value US$
Total Credit — Value US$ over time
- Georgia
- Myanmar
How they compare
Myanmar currently reports 23,178 million USD against 22,152 million USD in Georgia, a difference of 1,026 million USD.
The two have swapped places 2 times across 17 shared years of data; in 2003 it was Myanmar ahead.
Georgia ranks 83rd and Myanmar ranks 82nd of 178 countries.
Across the 3 decades both report, Georgia averaged higher in 1 and Myanmar in 2.
Head to head by decade
| Decade | Georgia | Myanmar | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 1,822 million USD | 651.46 million USD | 1,170 million USD | Georgia |
| 2010s | 7,349 million USD | 11,596 million USD | 4,247 million USD | Myanmar |
| 2020s | 12,021 million USD | 23,178 million USD | 11,156 million USD | Myanmar |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher total credit — value us$, Georgia or Myanmar?
- Myanmar, at 23,178 million USD against 22,152 million USD in Georgia as of 2020.
- What is the difference in total credit — value us$ between Georgia and Myanmar?
- 1,026 million USD, with Myanmar ahead.
- How many years of comparable data are there for Georgia and Myanmar?
- 17 years are reported by both, from 2003 to 2020.
- How do Georgia and Myanmar rank globally for total credit — value us$?
- Georgia ranks 83rd and Myanmar ranks 82nd of 178 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Total Credit — Value US$. 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.