Brazil vs Rwanda: Total Credit β Value Standard Local Currency
Total Credit β Value Standard Local Currency over time
- Brazil
- Rwanda
How they compare
Rwanda currently reports 3.32 million million SLC against 2.50 million million SLC in Brazil, a difference of 827,820 million SLC.
That makes Rwanda's figure about 1.3 times Brazil's.
The two have swapped places 1 time across 18 shared years of data; in 2007 it was Brazil ahead.
Brazil ranks 48th and Rwanda ranks 46th of 163 countries.
Across the 3 decades both report, Brazil averaged higher in 2 and Rwanda in 1.
Head to head by decade
| Decade | Brazil | Rwanda | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 668,597 million SLC | 261,718 million SLC | 406,879 million SLC | Brazil |
| 2010s | 1.40 million million SLC | 1.01 million million SLC | 397,216 million SLC | Brazil |
| 2020s | 2.14 million million SLC | 2.81 million million SLC | 668,704 million SLC | Rwanda |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher total credit β value standard local currency, Brazil or Rwanda?
- Rwanda, at 3.32 million million SLC against 2.50 million million SLC in Brazil as of 2024.
- What is the difference in total credit β value standard local currency between Brazil and Rwanda?
- 827,820 million SLC, with Rwanda ahead.
- How many years of comparable data are there for Brazil and Rwanda?
- 18 years are reported by both, from 2007 to 2024.
- How do Brazil and Rwanda rank globally for total credit β value standard local currency?
- Brazil ranks 48th and Rwanda ranks 46th 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.