Bank Z-score in Maldives
Maldives: Bank Z-score was 14.79 in 2020. ▼ Falling
Bank Z-score in Maldives, 2016–2020
Source: Bankscope, Bureau van Dijk (BvD).
Analysis
The most recent figure for bank z-score in Maldives is 14.79, measured in 2020. That is the lowest value across all 5 years on record.
The figure is down 22.1% on the previous year and down 21.6% over five years.
That places Maldives 87th out of 169 countries with data for 2020, putting it in the middle of the range.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 18.93 | 18.73 | 19.16 | 4 |
| 2020s | 14.79 | 14.79 | 14.79 | 1 |
Countries ranked near Maldives
- 84 Tajikistan 15.34 compare
- 85 Switzerland 15.34 compare
- 86 Bosnia and Herzegovina 15.29 compare
- 88 Antigua and Barbuda 14.74 compare
- 89 Vietnam 14.66 compare
- 90 Kyrgyzstan 14.62 compare
More financial sector data for Maldives
- Domestic credit to private sector by banks 32.5% (2025)
- Total reserves in months of imports 1.3 (2024)
- Net domestic credit 93.36 billion current LCU (2025)
- Net foreign assets 8.07 billion current LCU (2025)
- Monetary Sector credit to private sector 32.6% (2025)
- Broad money 60.2% (2025)
- Claims on central government, etc. 57.4% (2025)
- Domestic credit to private sector 36.4% (2025)
- Official exchange rate 15.42 LCU per US$, period average (2025)
- Net migration -2,283 (2025)
Frequently asked questions
- What is bank z-score in Maldives?
- Bank z-score in Maldives was 14.79 in 2020, according to Bankscope, Bureau van Dijk (BvD).
- What is the highest bank z-score recorded in Maldives?
- The highest recorded value was 19.16 in 2018.
- What is the lowest bank z-score recorded in Maldives?
- The lowest recorded value was 14.79 in 2020.
- How does Maldives rank for bank z-score?
- Maldives ranks 87th out of 169 countries with data for 2020.
- Where does this Maldives data come from?
- The figures come from Bankscope, Bureau van Dijk (BvD), published as part of Bank Z-score. Statizoid updates them automatically from the source API.
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CSV · JSON — 5 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
It captures the probability of default of a country's banking system. Z-score compares the buffer of a country's banking system (capitalization and returns) with the volatility of those returns. It is estimated as (ROA+(equity/assets))/sd(ROA); sd(ROA) is the standard deviation of ROA. ROA, equity, and assets are country-level aggregate figures Calculated from underlying bank-by-bank unconsolidated data from Bankscope.