Data Integrity & Methodology
1. Executive Overview
The Bankinfobook Financial Connectivity Index (BFCI) is a proprietary metric developed to measure the de facto operational integration of a national banking system into the global financial grid. While legal frameworks (Central Bank Independence) provide a theoretical baseline, the BFCI measures the actual capacity for cross-border settlement.
2. The SWIFT-to-Bank Ratio
The primary metric is calculated as:

3. Data Verification Protocol
To maintain data integrity, Bankinfobook explicitly rejects automated AI scraping and unverified “black-box” data aggregation. Every directory entry undergoes a rigorous Triple-Check Verification process:
- Primary Verification: Direct cross-referencing against the active Society for Worldwide Interbank Financial Telecommunication (SWIFT) network directory.
- Secondary Verification: Cross-examination of official central bank gazettes, regulatory filings, and national licensing databases to verify operational authorization.
- Digital & Physical Footprint Audits:
- URL Validation: Manual domain vetting to verify active, secure TLS connections and eliminate defunct or fraudulent shell entities.
- Geospatial Verification: Address matching via satellite mapping to confirm legitimate brick-and-mortar operations.
- Ground-Truth Intelligence: Incorporating operational feedback from local banking professionals to detect real-time changes prior to official annual publication cycles.
4. Classification of Connectivity
- Integrated (95–100%): Full participation in global capital markets.
- Fragile (80–94%): Presence of institutional decay or emerging shadow banking.
- Gated (<80%): Severe financial isolation; high correlation with hyper-inflation and informal value transfer systems (IVTS).
5. Contribute to the Global Dataset
“The landscape of global finance is dynamic. While our manual verification is rigorous, we recognize the value of ground-truth intelligence from financial professionals and local observers.”
Report a Connectivity Change If you have verified information regarding a bank’s licensing status, physical relocation, or SWIFT connectivity changes, please submit your report. Every submission undergoes a manual audit by our Master Manager of ICT before being integrated into the index.
Required Verification Details:
- Institution Name & Official URL.
- Nature of Change: (e.g., SWIFT de-listing, physical branch closure, or new license issuance).
- Source of Information: (e.g., Central Bank notification, local news, or direct operational observation).
Note to Researchers: To maintain the integrity of the BFCI, we do not accept automated data submissions. All field intelligence is cross-referenced with physical address verification and official regulatory filings.
6. The Banking Resilience Score (BRS)
While the BFCI evaluates reach, whether a banking system can technically access the global settlement grid, it does not measure systemic financial solvency. A country may achieve 100% SWIFT connectivity while burdened by unsustainable sovereign debt, thin foreign exchange reserves, or runaway inflation.
The Bankinfobook Banking Resilience Score (BRS) bridges this gap. It is a composite 0–100 index combining direct connectivity with three independent macroeconomic fundamentals to measure a banking sector’s capacity to absorb systemic financial shocks.
6.1 Mathematical Structure

Where each sub-component
is a standardized value derived from verified empirical metrics:
| Component | Weight | Derived From | Measures |
| Connectivity Score (SConn) | 40% | BFCI (SWIFT-to-Bank Ratio) | Direct global settlement capacity and network reach |
| Fiscal Buffer Score (SFisc) | 20% | Public Debt / GDP (Inverted) | Sovereign capacity to backstop and recapitalize the banking sector |
| External Liquidity Score (SLiq) | 20% | Foreign Exchange Reserves / GDP | Reserve buffer capacity to absorb external shocks and defend the currency |
| Currency Stability Score (SCurr) | 20% | Average Inflation Rate (Inverted) | Real-value preservation of deposits, reserves, and settled funds |
6.2 Component Normalization & Scaling
To maintain mathematical consistency across non-bounded variables, underlying inputs are normalized between 0 and 100:
- Connectivity Score (SConn): Standardized directly from the BFCI metric (SConn = BFCI).
- Fiscal Buffer Score (SFisc): Evaluates public debt burden. The score scales inversely and saturates at zero when Public Debt reaches or exceeds 150% of GDP:

- External Liquidity Score (SLiq): Evaluates FX reserves relative to GDP, reaching a maximum score of 100 at a reserve ratio of 50% or higher:

- Currency Stability Score (SCurr): Evaluates price stability using a logarithmic decay function to prevent hyperinflationary outliers from collapsing the composite score:

6.3 Dynamic Rebalancing & Data Integrity Rule
BRS is strictly calculated from verified empirical inputs. Where macroeconomic data for a jurisdiction is incomplete, the missing component is excluded and the remaining weights are proportionally rebalanced:

Where V represents the set of available component scores and Wj represents their baseline weights.
Data Policy Rule: If no verified macroeconomic data exists for a jurisdiction, the composite BRS is withheld entirely. It is never calculated using estimated or synthetic inputs.
6.4 Classification of Resilience
- Resilient (80.0 – 100.0): Exceptional settlement connectivity underpinned by strong fiscal balance sheets, solid foreign exchange buffers, and monetary stability.
- Stable (60.0 – 79.9): Solid systemic standing; network capacity is strong, though one or more macroeconomic components show moderate strain.
- Exposed (40.0 – 59.9): Meaningful structural vulnerability in at least one macroeconomic fundamental, despite potentially strong connectivity.
- Vulnerable (0.0 – 39.9): Severe systemic weakness across multiple indicators; elevated sovereign risk, thin reserves, and heightened financial shock exposure.
7. Extended Financial Metrics
In addition to headline indices, Bankinfobook provides a suite of supporting metrics to offer granular operational and macroeconomic context for each jurisdiction.
7.1 Structural & Infrastructure Ratios
- Banking Saturation Index (BSI): Verified institutions relative to population size.

- Financial Infrastructure Depth (FID): Density of banking institutions relative to national economic output.

- GDP per Bank: Average economic output supported per verified institution.

- Citizens per SWIFT-Connected Bank: Population served per internationally integrated node.

- FX Reserves per SWIFT-Connected Bank: Foreign exchange buffer available per integrated settlement node.

7.2 Sovereign & Economic Stress Indicators
- Misery Index: Composite measure of domestic economic distress

- Gold Reserve Value (USD): Market valuation of official central bank gold reserves.

- Reserve Composition (% Gold): Share of hard reserves held in physical gold versus foreign currency.

- Debt per Capita: Sovereign debt burden distributed across the population.

- Salary-to-GDP-per-Capita Ratio: Formal sector earnings relative to total economic output per capita.

Analytical Note on Interpretation: The Salary-to-GDP-per-Capita Ratio is not a bounded “wage share” metric and routinely exceeds 100% in economies with substantial informal or subsistence sectors. Average salary figures capture formal-sector employment, whereas GDP per capita reflects output averaged across the entire population (including informal workers, dependents, and subsistence earners). A high ratio highlights a structural disparity between formal earnings and whole-economy per capita output. It is a meaningful economic signal, not a data distortion.
Note: All financial figures across all metrics are standardized to United States Dollars (USD) to ensure cross-border comparability.
8. Data Licensing & Access
While summary metrics and baseline connectivity classifications are published for general research and financial transparency, access to granular jurisdictional datasets, historical time-series analytics, raw directory exports, and programmatic API feeds is available exclusively under commercial licensing.
The calculation frameworks, proprietary scoring algorithms, and verified database structures of the Bankinfobook Financial Connectivity Index (BFCI) and the Banking Resilience Score (BRS) constitute proprietary intellectual property. Commercial redistribution, systematic extraction, or automated data aggregation without an active enterprise license is strictly prohibited.
For institutional dataset licensing, custom risk reports, or API integration details, please direct inquiries to our corporate licensing desk or visit our service contact portal.
✓ 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: August 9, 2026
