Opendatabay APP

Healthcare Insurance Statistics

Healthcare Insurance & Costs

Related Searches

Healthcare

Insurance

Premiums

Medical

Tabular

Trusted By
Trusted by company1Trusted by company2Trusted by company3
Healthcare Insurance Statistics Dataset on Opendatabay data marketplace

"No reviews yet"

£1

About

``
This dataset contains detailed records of healthcare insurance premiums and associated factors. It includes information on age, sex, BMI, number of dependents, smoking status, region, and the insurance charges for individuals. This data is ideal for conducting analyses related to healthcare cost predictions, insurance risk assessment, and pricing models.

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:

Age Sex BMI Children Smoker Region Charges 25 Male 22.4 0 No Southwest 1689.68
45
Female
27.9
1
Yes
Northeast
48750.58
32
Female
29.1
2
No
Northwest
5125.57

Licensing:

This dataset is available for public use. Attribution is appreciated but not required.

Contact Information:

For more information or queries about the dataset, please contact.

Dataset Information

VIEWS

47

DOWNLOADS

14

LICENSE

CC0

REGION

GLOBAL

UDQSSQUALITY

5 / 5

VERSION

1

£1