Bank Z-score in Senegal
Senegal: Bank Z-score was 15.87 in 2020. ▬ Flat
Bank Z-score in Senegal, 2000–2020
Source: Bankscope, Bureau van Dijk (BvD).
Analysis
The most recent figure for bank z-score in Senegal is 15.87, measured in 2020.
That represents a change of up 0.9% on the previous year and down 10.8% over ten years.
Over the whole period, bank z-score in Senegal peaked at 18.36 in 2009 and was at its lowest, 11.46, in 2014.
That places Senegal 79th out of 169 countries with data for 2020, putting it in the middle of the range.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 15.13 | 14.28 | 18.36 | 10 |
| 2010s | 14.88 | 11.46 | 17.8 | 10 |
| 2020s | 15.87 | 15.87 | 15.87 | 1 |
Countries ranked near Senegal
More financial sector data for Senegal
- Domestic credit to private sector by banks 30.9% (2025)
- Net domestic credit 11.46 trillion current LCU (2025)
- Net foreign assets 3.63 trillion current LCU (2025)
- Monetary Sector credit to private sector 30.9% (2025)
- Broad money 53.7% (2025)
- Claims on central government, etc. 19.3% (2025)
- Domestic credit to private sector 30.9% (2025)
- Official exchange rate 581.93 LCU per US$, period average (2025)
- Net migration -12,636 (2025)
- Claims on central government 5.6% (2025)
Frequently asked questions
- What is bank z-score in Senegal?
- Bank z-score in Senegal was 15.87 in 2020, according to Bankscope, Bureau van Dijk (BvD).
- What is the highest bank z-score recorded in Senegal?
- The highest recorded value was 18.36 in 2009.
- What is the lowest bank z-score recorded in Senegal?
- The lowest recorded value was 11.46 in 2014.
- How does Senegal rank for bank z-score?
- Senegal ranks 79th out of 169 countries with data for 2020.
- Is bank z-score rising or falling in Senegal?
- Over the last ten years it is down 10.8%. The long-run trend across the full record is flat.
- Where does this Senegal 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 — 21 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.