Health Insurance Panel with Telematics and Claims Data for 500,000 Members

500,000 members are included in a longitudinal panel tracking insurance claims and telematics data. The dataset likely contains variables for policy lapse, censoring, and inflation adjustments. It was sourced from Kaggle, but the author, organization, and specific update date are unknown.

Use Cases

• Predicting policy lapse based on telematics and claims history mentioned in the description
• Modeling insurance claim inflation using the longitudinal panel structure
• Analyzing driver risk profiles by correlating telematics data with claims events
• Studying customer retention and censoring patterns in a large insurance cohort

Strengths

• Longitudinal panel structure for tracking changes over time
• Includes 500,000 members, suggesting a substantial sample size
• Combines traditional claims data with telematics, a modern data source

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Last update date is unknown; freshness unverified
• Row count is unknown, which may limit suitability assessment

Provenance

Source

Kaggle