Bank Z-score in Yemen
Yemen: Bank Z-score was 17.67 in 2019. ▲ Rising
Bank Z-score in Yemen, 2000–2019
Source: Bankscope, Bureau van Dijk (BvD).
Analysis
Yemen recorded 17.67 for bank z-score in 2019.
The figure is up 6.1% on the previous year and down 14.9% over ten years.
Over the whole period, bank z-score in Yemen peaked at 24.42 in 2012 and was at its lowest, 13.68, in 2004.
Yemen ranks 64th of 169 countries on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 18 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 16.95 | 13.68 | 20.76 | 10 |
| 2010s | 19.12 | 15.91 | 24.42 | 8 |
Countries ranked near Yemen
More financial sector data for Yemen
- Domestic credit to private sector by banks 5.6% (2013)
- Total reserves in months of imports 1.22 (2016)
- Net domestic credit 2.62 trillion current LCU (2013)
- Net foreign assets 1.30 trillion current LCU (2013)
- Monetary Sector credit to private sector 5.6% (2013)
- Broad money 34.7% (2013)
- Claims on central government, etc. 21.2% (2013)
- Domestic credit to private sector 5.6% (2013)
- Official exchange rate 1,355 LCU per US$, period average (2023)
- Net migration -16,291 (2025)
Frequently asked questions
- What is bank z-score in Yemen?
- Bank z-score in Yemen was 17.67 in 2019, according to Bankscope, Bureau van Dijk (BvD).
- What is the highest bank z-score recorded in Yemen?
- The highest recorded value was 24.42 in 2012.
- What is the lowest bank z-score recorded in Yemen?
- The lowest recorded value was 13.68 in 2004.
- How does Yemen rank for bank z-score?
- Yemen ranks 64th out of 169 countries with data for 2019.
- Is bank z-score rising or falling in Yemen?
- Over the last ten years it is down 14.9%. The long-run trend across the full record is rising.
- Where does this Yemen 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 — 18 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.