Bank Z-score in Guinea
Guinea: Bank Z-score was 25.44 in 2020. ▲ Rising
Bank Z-score in Guinea, 2010–2020
Source: Bankscope, Bureau van Dijk (BvD).
Analysis
Guinea recorded 25.44 for bank z-score in 2020.
The figure is down 4.5% on the previous year and up 70.9% over ten years.
Over the whole period, bank z-score in Guinea peaked at 27.95 in 2017 and was at its lowest, 14.89, in 2010.
That places Guinea 28th out of 169 countries with data for 2020, putting it in the top quarter.
The long-run direction has been consistently rising across the 10 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 23.85 | 14.89 | 27.95 | 9 |
| 2020s | 25.44 | 25.44 | 25.44 | 1 |
Countries ranked near Guinea
More financial sector data for Guinea
- Domestic credit to private sector by banks 9.9% (2025)
- Total reserves in months of imports 1.28 (2024)
- Net domestic credit 77.94 trillion current LCU (2025)
- Net foreign assets 34.69 trillion current LCU (2025)
- Monetary Sector credit to private sector 10.6% (2025)
- Broad money 30.1% (2024)
- Claims on central government, etc. 20.8% (2025)
- Domestic credit to private sector 10.6% (2025)
- Official exchange rate 9,565 LCU per US$, period average (2020)
- Net migration -16,282 (2025)
Frequently asked questions
- What is bank z-score in Guinea?
- Bank z-score in Guinea was 25.44 in 2020, according to Bankscope, Bureau van Dijk (BvD).
- What is the highest bank z-score recorded in Guinea?
- The highest recorded value was 27.95 in 2017.
- What is the lowest bank z-score recorded in Guinea?
- The lowest recorded value was 14.89 in 2010.
- How does Guinea rank for bank z-score?
- Guinea ranks 28th out of 169 countries with data for 2020.
- Is bank z-score rising or falling in Guinea?
- Over the last ten years it is up 70.9%. The long-run trend across the full record is rising.
- Where does this Guinea 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.
Download this data
CSV · JSON — 10 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.