Mongolia vs Russian Federation: Number of Household Sector Borrowers at All Microfinance Institutions
Mongolia
308.43
in 2025
Russian Federation
186.38
in 2022
Mongolia rank
2nd
Russian Federation rank
5th
Number of Household Sector Borrowers at All Microfinance Institutions over time
- Mongolia
- Russian Federation
How they compare
Mongolia currently reports 308.43 against 186.38 in Russian Federation, a difference of 122.05.
That makes Mongolia's figure about 1.7 times Russian Federation's.
The two have swapped places 1 time across 7 shared years of data; in 2016 it was Russian Federation ahead.
Mongolia ranks 2nd and Russian Federation ranks 5th of 60 countries.
Across the 2 decades both report, Mongolia averaged higher in 1 and Russian Federation in 1.
Head to head by decade
| Decade | Mongolia | Russian Federation | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 35.73 | 81.67 | 45.94 | Russian Federation |
| 2020s | 186.71 | 156.23 | 30.48 | Mongolia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher number of household sector borrowers at all microfinance institutions, Mongolia or Russian Federation?
- Mongolia, at 308.43 against 186.38 in Russian Federation as of 2025.
- What is the difference in number of household sector borrowers at all microfinance institutions between Mongolia and Russian Federation?
- 122.05, with Mongolia ahead.
- How many years of comparable data are there for Mongolia and Russian Federation?
- 7 years are reported by both, from 2016 to 2022.
- How do Mongolia and Russian Federation rank globally for number of household sector borrowers at all microfinance institutions?
- Mongolia ranks 2nd and Russian Federation ranks 5th of 60 countries.
- Where does this data come from?
- International Monetary Fund, published as Number of Household Sector Borrowers at All Microfinance Institutions per 1,000 Adults. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Gender-disaggregated data on access to and use of financial services.