Bank Z-score in Niger
Niger: Bank Z-score was 14.38 in 2019. ▲ Rising
Bank Z-score in Niger, 2000–2019
Source: Bankscope, Bureau van Dijk (BvD).
Analysis
The most recent figure for bank z-score in Niger is 14.38, measured in 2019.
The figure is up 6.0% on the previous year and down 3.0% over ten years.
Over the whole period, bank z-score in Niger peaked at 17.69 in 2015 and was at its lowest, 9.86, in 2007.
Niger ranks 92nd of 169 countries on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 20 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 13.58 | 9.86 | 17.31 | 10 |
| 2010s | 15.14 | 11.96 | 17.69 | 10 |
Countries ranked near Niger
More financial sector data for Niger
- Domestic credit to private sector by banks 9.5% (2025)
- Net domestic credit 2.04 trillion current LCU (2025)
- Net foreign assets 736.20 billion current LCU (2025)
- Monetary Sector credit to private sector 9.6% (2025)
- Broad money 17.3% (2025)
- Claims on central government, etc. 5.9% (2025)
- Domestic credit to private sector 9.6% (2025)
- Official exchange rate 581.93 LCU per US$, period average (2025)
- Net migration -7,704 (2025)
- Claims on central government 4.4% (2025)
Frequently asked questions
- What is bank z-score in Niger?
- Bank z-score in Niger was 14.38 in 2019, according to Bankscope, Bureau van Dijk (BvD).
- What is the highest bank z-score recorded in Niger?
- The highest recorded value was 17.69 in 2015.
- What is the lowest bank z-score recorded in Niger?
- The lowest recorded value was 9.86 in 2007.
- How does Niger rank for bank z-score?
- Niger ranks 92nd out of 169 countries with data for 2019.
- Is bank z-score rising or falling in Niger?
- Over the last ten years it is down 3.0%. The long-run trend across the full record is rising.
- Where does this Niger 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 — 20 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.