Global Data Access – Institutional-Grade Financial Intelligence
Verified sovereign risk, banking resilience, and global settlement analytics
| Country | Banks # | SWIFT # | Connectivity % | BRS | BSI | FID | GDP/Bank | Citizens/SWIFT | FX Res/SWIFT | Misery | Gold Value | Reserve Comp % | Debt/Capita | Salary/GDPpc |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Algeria | 23 | 23 | 100.0% | 75.4 (Stable) | 0.55 | 0.07 | $13,790.0M | 1,826,087 | $1,104.3M | 17.7 | $22,306.1M | 46.8% | $3,026 | 64.4% |
| Angola | 23 | 23 | 100.0% | 73.5 (Stable) | 0.57 | 0.15 | $6,608.7M | 1,747,826 | $673.9M | 34.1 | $2,450.9M | 13.7% | $1,541 | 133.3% |
| Benin | 16 | 16 | 100.0% | 92.9 (Resilient) | 1.05 | 0.58 | $1,736.9M | 950,000 | $3,125.0M | 3.7 | $796.8M | 1.6% | $855 | 216.6% |
| Botswana | 10 | 10 | 100.0% | 83.3 (Resilient) | 3.85 | 0.46 | $2,194.0M | 260,000 | $435.0M | 29.6 | $359.9M | 7.6% | $1,919 | 78.9% |
| Burkina Faso | 18 | 17 | 94.4% | 72.5 (Stable) | 0.73 | 0.55 | $1,806.1M | 1,447,059 | $79.4M | 5.5 | $3,791.4M | 73.7% | $606 | 145.3% |
| Burundi | 15 | 12 | 80.0% | 59.4 (Exposed) | 1.02 | 1.63 | $613.3M | 1,227,417 | $17.8M | 27.2 | $3.9M | 1.8% | $140 | 172.9% |
| Cameroon | 19 | 19 | 100.0% | 76.6 (Stable) | 0.62 | 0.29 | $3,428.4M | 1,610,526 | $305.3M | 6.9 | $195.4M | 3.3% | $899 | 129.7% |
Core Proprietary Models
BRS (Banking Resilience Score)
- Proprietary 0–100 composite score measuring the systemic resilience of a national banking system.
- Weighted Components: SWIFT connectivity (40%), fiscal buffer based on public debt to GDP (20%), external liquidity based on FX reserves to GDP (20%), and currency stability based on inflation (20%).
- Transparent Weighting: Fixed, published weights. Where an input is unavailable, the remaining weights are rebalanced proportionally; where no verified macro data exists, the score is withheld.
- Tiers: Resilient (80.0–100.0), Stable (60.0–79.9), Exposed (40.0–59.9), Vulnerable (0.0–39.9).
BFCI (Connectivity Index)
- An operational mapping of how deeply a domestic banking system is integrated into the global clearing and settlement architecture.
- SWIFT-to-Bank Ratio: Active, verified SWIFT-connected banks as a share of total registered domestic banks.
- Tiers: Integrated (95–100%), Fragile (80% to below 95%), Gated (below 80%).
- De-Risking Signals: Declines in the ratio can flag de-risking, lost cross-border connectivity, and emerging payment bottlenecks.
Macro & Banking Metrics
- 10 standardized indicators for country risk analysis, all in USD.
- Banking Saturation & Infrastructure Depth: Banking Saturation Index (BSI), Financial Infrastructure Depth (FID), and GDP per bank.
- SWIFT Coverage: Citizens per SWIFT-connected bank and FX reserves per SWIFT-connected bank.
- Reserves: Gold reserve value and reserve composition (gold share of total reserves).
- Household & Fiscal Pressure: Misery Index (inflation plus unemployment), debt per capita, and average salary relative to GDP per capita.
Why Leading Institutions Choose Bankinfobook
| Institutional Requirement | Generic Public Data & Scraping | Bankinfobook Global Data Access |
|---|---|---|
| Data Verification | Unverified secondary reporting & laggy estimates | ✔ Three-step primary-source verification (SWIFT directory, central bank & regulatory filings, local audit) |
| Model Transparency | Black-box scores with undisclosed weights and inputs | ✔ Published methodology with fixed weights and documented missing-data handling |
| Cost Efficiency | €10,000+ per year across fragmented regional directories | ✔ One unified subscription eliminating dozens of manual research hours |
| Operational Delivery | Delayed PDF reports & messy spreadsheets | ✔ Live Client Portal with regularly reviewed regional metrics |
✓ Verified: This entry was personally compiled and reviewed by Milan Ignjatovic using primary sources.
Founder & Sole Curator, Bankinfobook | Master Manager of ICT · Graduated Economist
Last Data Review: November 3, 2026