Anguilla vs Montserrat: Outstanding Deposits, Commercial Banks, of Which: Household Sector
Anguilla
736.62 million
in 2024
Montserrat
171.12 million
in 2024
Anguilla rank
123rd
Montserrat rank
125th
Outstanding Deposits, Commercial Banks, of Which: Household Sector over time
- Anguilla
- Montserrat
How they compare
Anguilla currently reports 736.62 million against 171.12 million in Montserrat, a difference of 565.51 million.
That makes Anguilla's figure about 4.3 times Montserrat's.
Across all 21 years both countries report, Anguilla has been ahead every year.
Anguilla ranks 123rd and Montserrat ranks 125th of 127 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 | 150.98 million | 101.36 million | 49.62 million | Anguilla |
| 2010s | 440.40 million | 151.40 million | 289.00 million | Anguilla |
| 2020s | 714.30 million | 167.00 million | 547.30 million | Anguilla |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher outstanding deposits, commercial banks, of which: household sector, Anguilla or Montserrat?
- Anguilla, at 736.62 million against 171.12 million in Montserrat as of 2024.
- What is the difference in outstanding deposits, commercial banks, of which: household sector between Anguilla and Montserrat?
- 565.51 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 deposits, commercial banks, of which: household sector?
- Anguilla ranks 123rd and Montserrat ranks 125th of 127 countries.
- Where does this data come from?
- International Monetary Fund, published as Outstanding Deposits, Commercial Banks, of Which: Household Sector Deposits. 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.