Anguilla vs Montserrat: Outstanding Loans, Commercial Banks, of Which: Household Sector Loans
Anguilla
412.28 million
in 2024
Montserrat
72.33 million
in 2024
Anguilla rank
128th
Montserrat rank
131st
Outstanding Loans, Commercial Banks, of Which: Household Sector Loans over time
- Anguilla
- Montserrat
How they compare
Anguilla currently reports 412.28 million against 72.33 million in Montserrat, a difference of 339.96 million.
That makes Anguilla's figure about 5.7 times Montserrat's.
Across all 21 years both countries report, Anguilla has been ahead every year.
Anguilla ranks 128th and Montserrat ranks 131st of 134 countries.
Anguilla has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Anguilla | Montserrat | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 147.99 million | 30.46 million | 117.53 million | Anguilla |
| 2010s | 244.38 million | 65.85 million | 178.53 million | Anguilla |
| 2020s | 376.86 million | 74.87 million | 301.99 million | Anguilla |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher outstanding loans, commercial banks, of which: household sector loans, Anguilla or Montserrat?
- Anguilla, at 412.28 million against 72.33 million in Montserrat as of 2024.
- What is the difference in outstanding loans, commercial banks, of which: household sector loans between Anguilla and Montserrat?
- 339.96 million, with Anguilla ahead.
- How many years of comparable data are there for Anguilla and Montserrat?
- 21 years are reported by both, from 2004 to 2024.
- How do Anguilla and Montserrat rank globally for outstanding loans, commercial banks, of which: household sector loans?
- Anguilla ranks 128th and Montserrat ranks 131st 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.