Belarus vs Georgia: Total Credit — Value Standard Local Currency, 2015 prices
Total Credit — Value Standard Local Currency, 2015 prices over time
- Belarus
- Georgia
How they compare
Georgia currently reports 37,358 million SLC against 33,684 million SLC in Belarus, a difference of 3,674 million SLC.
That makes Georgia's figure about 1.1 times Belarus's.
The two have swapped places 1 time across 22 shared years of data; in 2003 it was Belarus ahead.
Belarus ranks 114th and Georgia ranks 112th of 165 countries.
Across the 3 decades both report, Belarus averaged higher in 2 and Georgia in 1.
Head to head by decade
| Decade | Belarus | Georgia | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 13,300 million SLC | 4,341 million SLC | 8,959 million SLC | Belarus |
| 2010s | 29,573 million SLC | 15,119 million SLC | 14,454 million SLC | Belarus |
| 2020s | 30,674 million SLC | 31,893 million SLC | 1,219 million SLC | Georgia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher total credit — value standard local currency, 2015 prices, Belarus or Georgia?
- Georgia, at 37,358 million SLC against 33,684 million SLC in Belarus as of 2024.
- What is the difference in total credit — value standard local currency, 2015 prices between Belarus and Georgia?
- 3,674 million SLC, with Georgia ahead.
- How many years of comparable data are there for Belarus and Georgia?
- 22 years are reported by both, from 2003 to 2024.
- How do Belarus and Georgia rank globally for total credit — value standard local currency, 2015 prices?
- Belarus ranks 114th and Georgia ranks 112th 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.