Malaysia vs Pakistan: Outstanding Loans, Commercial Banks, of Which: Household Sector Loans
Malaysia
1.38 trillion
in 2025
Pakistan
1.52 trillion
in 2024
Malaysia rank
37th
Pakistan rank
35th
Outstanding Loans, Commercial Banks, of Which: Household Sector Loans over time
- Malaysia
- Pakistan
How they compare
Pakistan currently reports 1.52 trillion against 1.38 trillion in Malaysia, a difference of 142.94 billion.
That makes Pakistan's figure about 1.1 times Malaysia's.
The two have swapped places 2 times across 20 shared years of data; in 2005 it was Pakistan ahead.
Malaysia ranks 37th and Pakistan ranks 35th of 134 countries.
Across the 3 decades both report, Malaysia averaged higher in 1 and Pakistan in 2.
Head to head by decade
| Decade | Malaysia | Pakistan | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 354.64 billion | 649.81 billion | 295.17 billion | Pakistan |
| 2010s | 750.54 billion | 720.75 billion | 29.79 billion | Malaysia |
| 2020s | 1.17 trillion | 1.34 trillion | 167.70 billion | Pakistan |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher outstanding loans, commercial banks, of which: household sector loans, Malaysia or Pakistan?
- Pakistan, at 1.52 trillion against 1.38 trillion in Malaysia as of 2024.
- What is the difference in outstanding loans, commercial banks, of which: household sector loans between Malaysia and Pakistan?
- 142.94 billion, with Pakistan ahead.
- How many years of comparable data are there for Malaysia and Pakistan?
- 20 years are reported by both, from 2005 to 2024.
- How do Malaysia and Pakistan rank globally for outstanding loans, commercial banks, of which: household sector loans?
- Malaysia ranks 37th and Pakistan ranks 35th 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.