Mongolia vs Myanmar: Outstanding Loans, Commercial Banks, of Which: Household Sector Loans
Mongolia
25.96 trillion
in 2025
Myanmar
14.63 trillion
in 2020
Mongolia rank
12th
Myanmar rank
15th
Outstanding Loans, Commercial Banks, of Which: Household Sector Loans over time
- Mongolia
- Myanmar
How they compare
Mongolia currently reports 25.96 trillion against 14.63 trillion in Myanmar, a difference of 11.34 trillion.
That makes Mongolia's figure about 1.8 times Myanmar's.
The two have swapped places 1 time across 13 shared years of data; in 2008 it was Mongolia ahead.
Mongolia ranks 12th and Myanmar ranks 15th of 134 countries.
Across the 3 decades both report, Mongolia averaged higher in 1 and Myanmar in 2.
Head to head by decade
| Decade | Mongolia | Myanmar | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 959.29 billion | 363.99 billion | 595.30 billion | Mongolia |
| 2010s | 5.24 trillion | 5.87 trillion | 630.34 billion | Myanmar |
| 2020s | 8.53 trillion | 14.63 trillion | 6.09 trillion | Myanmar |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher outstanding loans, commercial banks, of which: household sector loans, Mongolia or Myanmar?
- Mongolia, at 25.96 trillion against 14.63 trillion in Myanmar as of 2025.
- What is the difference in outstanding loans, commercial banks, of which: household sector loans between Mongolia and Myanmar?
- 11.34 trillion, with Mongolia ahead.
- How many years of comparable data are there for Mongolia and Myanmar?
- 13 years are reported by both, from 2008 to 2020.
- How do Mongolia and Myanmar rank globally for outstanding loans, commercial banks, of which: household sector loans?
- Mongolia ranks 12th and Myanmar ranks 15th of 134 countries.
- Where does this data come from?
- International Monetary Fund, published as Outstanding Loans, Commercial Banks, of Which: Household Sector Loans. 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.