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National Early-Warning System

Consumer Vulnerability Index

Measuring Consumer Exposure to Harm.

The CVI is a proprietary composite indicator of how exposed Ghanaian consumers are to financial, digital, informational, contractual and marketplace risks — derived from aggregated, anonymized signal across the GCIN network.

National CVI · Today
64.5
/ 100
High Vulnerability
Very LowLowModerateHighSevere

Composite of 7 weighted dimensions. Higher = greater consumer risk.

Vulnerability Profile
Sub-index contributions (0–100, higher = more vulnerable)
Illustrative
Core Dimensions

Seven sub-indices · one composite

Each dimension is scored 0–100 and weighted into the national CVI. Literacy and resolution access invert (lower = more vulnerable).

FVIHigh
Financial Vulnerability
68
weight 20%

Debt stress, predatory lending exposure, hidden fees, over-indebtedness.

  • Rising loan-app complaints
  • Hidden FX margins
DVIHigh
Digital Vulnerability
74
weight 15%

Mobile money fraud, online scams, phishing, identity theft.

  • MoMo reversal scams ↑22%
  • SIM-swap fraud cluster
IAIHigh
Information Asymmetry
61
weight 15%

Misleading ads, unclear T&Cs, contract complexity, weak disclosure.

  • Insurance exclusions misread
  • Telco bundle small-print
CLIModerate
Consumer Literacy
48
weight 10%

Education engagement, rights awareness, complaint-process knowledge.

  • Low rural literacy on digital rights
  • Improving youth awareness
MCRIHigh
Market Conduct Risk
66
weight 15%

Complaint growth, repeat complaints, service & product failures.

  • Repeat billing errors
  • Retail warranty refusals
RAIModerate
Resolution Accessibility
53
weight 10%

Channel awareness, ease of filing, regulator access, follow-up success.

  • Slow regulator turnaround
  • Limited offline filing in NR/UE/UW
FEIHigh
Fraud Exposure
71
weight 15%

Scam prevalence, counterfeits, emerging scam clusters, fraud by region.

  • Investment scam outbreak (Greater Accra)
  • Counterfeit pharma — Kumasi
Weight Configuration
Adjust dimension weights to model alternative scenarios. Live recomputes the CVI.
Σ weights = 100%
Predictive Risk Engine

Trend & forward exposure

Eight-month CVI history with 30-day, 90-day, 6-month and 1-year forecast bands.

CVI Trend
National composite, monthly
Forecast Horizons
Predicted CVI with confidence range
CentralUpperLower
Geographic Analysis

Regional vulnerability heatmap

Aggregated regional CVI. District, municipal and neighborhood layers available to regulators.

Regions · CVI ranking
Movement (30d)
Northern
63+4.1
Greater Accra
71+3.2
Central
61+2.0
Ashanti
66+1.1
Bono
52+0.9
Eastern
54+0.7
Upper East
57+0.3
Western
58-0.4
Upper West
55-0.6
Volta
49-1.2
Sector Analysis

Where consumer exposure concentrates

Fifteen sectors scored continuously. Mobile money, fintech and telecoms remain the most vulnerable surfaces.

Mobile Money
78High
Fintech
74High
Telecommunications
69High
Banking
64High
E-Commerce
67High
Insurance
61High
Utilities
58Moderate
Healthcare
55Moderate
Retail
52Moderate
Transportation
50Moderate
Real Estate
49Moderate
Education
41Moderate
Hospitality
38Low
Agriculture
44Moderate
Consumer Goods
47Moderate
Consumer Segments

Who is most exposed

Vulnerability scores by demographic and behavioral segment. Used by regulators and partners to prioritize protective interventions.

AI Vulnerability Detection

Plain-language explanations

Automated narratives from the GCIN models surface scam clusters, contractual abuse and literacy gains as they emerge.

Digital vulnerability rose 12% on the back of mobile-money reversal scams and phishing waves across Greater Accra and Ashanti.

Consumer literacy improved 4 points among youth (18–24), driven by campus campaigns and short-form video education.

Emerging investment-scam cluster detected in Northern Region — 38 related complaints in 14 days, recommend regulator advisory.

Contractual abuse pattern in telco bundle offers: 1 in 4 complainants did not understand auto-renewal terms.

Data Governance

All CVI outputs are derived from aggregated, anonymized signal. No personal identifiers, no individual complaints, and no public disclosure of unverified allegations. Built for Ghana, designed for Pan-African deployment — Nigeria, Kenya and South Africa adaptations support country-specific risk factors and regulatory contexts.

Pilot data · illustrative