Bank Z-score in Gabon
Gabon: Bank Z-score was 16.63 in 2019. ▲ Rising
Bank Z-score in Gabon, 2003–2019
Source: Bankscope, Bureau van Dijk (BvD).
Analysis
In 2019, bank z-score in Gabon stood at 16.63.
The figure is up 2.6% on the previous year and up 42.3% over ten years.
Over the whole period, bank z-score in Gabon peaked at 21.2 in 2013 and was at its lowest, 11.16, in 2010.
That places Gabon 74th out of 169 countries with data for 2019, putting it in the middle of the range.
The long-run direction has been consistently rising across the 17 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 13.43 | 11.69 | 14.13 | 7 |
| 2010s | 15.97 | 11.16 | 21.2 | 10 |
Countries ranked near Gabon
More financial sector data for Gabon
- Domestic credit to private sector by banks 13.3% (2019)
- Total reserves in months of imports 4.25 (2015)
- Net domestic credit 2.41 trillion current LCU (2019)
- Net foreign assets 481.13 billion current LCU (2019)
- Monetary Sector credit to private sector 13.4% (2019)
- Broad money 22.9% (2019)
- Claims on central government, etc. 9.5% (2019)
- Domestic credit to private sector 13.4% (2019)
- Official exchange rate 581.93 LCU per US$, period average (2025)
- Net migration 1,116 (2025)
Frequently asked questions
- What is bank z-score in Gabon?
- Bank z-score in Gabon was 16.63 in 2019, according to Bankscope, Bureau van Dijk (BvD).
- What is the highest bank z-score recorded in Gabon?
- The highest recorded value was 21.2 in 2013.
- What is the lowest bank z-score recorded in Gabon?
- The lowest recorded value was 11.16 in 2010.
- How does Gabon rank for bank z-score?
- Gabon ranks 74th out of 169 countries with data for 2019.
- Is bank z-score rising or falling in Gabon?
- Over the last ten years it is up 42.3%. The long-run trend across the full record is rising.
- Where does this Gabon 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 — 17 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.