Healthcare Insurance Statistics

Data Fields:

• name: The name of the insurance policyholder.
• age: Age of the policyholder.
• bmi: Body Mass Index of the individual.
• sex: Gender of the policyholder (male/female).
• children: Number of dependents the policyholder has.
• smoker: Whether the individual is a smoker (yes/no).
• region: Geographic region where the policyholder resides.
• charges: The total annual medical charges billed to the individual.
• insurance_type: Type of healthcare insurance (private, public).
• policy_number: Unique identifier for the insurance policy.

Use Cases:

• Risk Assessment: Analyze the likelihood of insurance claims based on factors like age, BMI, and smoking status.
• Premium Calculation: Help insurers set personalized premiums based on health-related data.
• Public Health Insights: Study regional variations in healthcare costs and behaviors (e.g., smoking habits).
• Predictive Analytics: Forecast future medical expenses using historical data.
• Health Policy Analysis: Support researchers in evaluating the impact of health policies on insurance costs and individual behaviors.

File Format:

• CSV (Comma-Separated Values)

Update Frequency:

• The dataset was last updated on September 30, 2023. Regular updates are recommended for ongoing analysis.

Sample Data:

45
Female
27.9
1
Yes
Northeast
48750.58
32
Female
29.1
2
No
Northwest
5125.57

Licensing:

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