Insurance datasets

Claims data, risk assessment, policy information

  • 66 ready-made datasets
  • 8 formats, Excel to Parquet
  • First download free
What the 66 cover1 square = 1 dataset
  • Claims & fraud23
  • Risk & actuarial19
  • Policies & premiums16
  • Reinsurance8
Grouped by dataset title and tags.

66 datasets · page 3 of 3

Showing all 18 on this page

Claims & fraudTop 10 most opened

Claims Fraud Detection Dataset

Insurance claims data with fraud labels, customer demographics

This dataset provides granular insurance claims data with fraud labels, customer demographics, policy details, and suspicious pattern indicators. It is ideal for training fraud detection models, analyzing risk factors, and supporting operational audits in the insurance sector. The dataset enables insurers and analysts to identify fraud trends, profile risky customers, and optimize claim review processes.

24 cols

  • claim_amount
  • claim_type
  • claim_status
  • is_fraud
  • +20
Open in factory
claim_amount
6275.45
claim_type
auto
claim_status
approved

Claims & fraud

Finance Insurance Claim Features

Financial details, claimant demographics, policy information

This dataset provides a comprehensive view of insurance claim records, including financial details, claimant demographics, policy information, and process metrics. It is ideal for insurtech applications such as fraud detection, claims modeling, and operational efficiency analysis, supporting advanced analytics and machine learning workflows.

22 cols

  • claim_type
  • claim_status
  • claim_amount
  • claimant_age
  • +18
Open in factory
claim_type
auto
claim_status
approved
claim_amount
8500.75

Claims & fraud

Insurance Claim Fraud Scenarios

Insurance claim records enriched with detailed event features

This dataset contains synthetic insurance claim records enriched with detailed event features and labeled fraud scenarios, designed for advanced machine learning-based fraud detection. Each record includes customer, policy, incident, and claim details, along with structured fraud indicators and event-level metadata, making it ideal for developing and benchmarking fraud detection algorithms.

23 cols

  • claim_amount
  • claim_status
  • fraud_label
  • fraud_scenario
  • +19
Open in factory
claim_amount
1750.45
claim_status
approved
fraud_label
false

Claims & fraud

Insurance Policy Claim Payouts

Insurance policy claims, tracking each claim's submission

This dataset provides a comprehensive record of insurance policy claims, tracking each claim's submission, validation workflow, payout details, and associated customer and policy information. It enables in-depth analysis of claim cycles, loss ratios, and operational efficiency, supporting both risk modeling and process optimization for insurers.

19 cols

  • claim_status
  • payout_amount
  • claim_type
  • claim_reason
  • +15
Open in factory
claim_status
submitted
payout_amount
0
claim_type
auto

Claims & fraud

Insurance Claims and Medical Linkage

Claim details, patient demographics, provider information

This dataset provides a comprehensive, privacy-preserving linkage between insurance claims and anonymized medical records, including claim details, patient demographics, provider information, and medical coding. It enables advanced analytics for healthcare utilization, cost analysis, and outcomes research across the insurance and medical sectors.

21 cols

  • claim_status
  • claim_amount
  • primary_insured_relationship
  • claim_date
  • +17
Open in factory
claim_status
submitted
claim_amount
235.42
primary_insured_relationship
self

Risk & actuarial

Driver Behavior Risk Indicators

Speed, acceleration, location, and risk event indicators

This dataset provides granular vehicle telemetry and driver action records, including speed, acceleration, location, and risk event indicators, enabling comprehensive analysis of driving behavior and risk profiling. Designed for insurers, telematics providers, and transportation safety analysts, it supports advanced modeling of driver risk and safety interventions.

21 cols

  • risk_score
  • latitude
  • longitude
  • speed_kmh
  • +17
Open in factory
risk_score
0.16
latitude
40.7128
longitude
-74.006

Claims & fraudTop 10 most opened

Medical Insurance Fraud Detection

Patient demographics, provider information, claim amounts, service dates

This dataset contains detailed synthetic records of medical insurance claims, including patient demographics, provider information, claim amounts, service dates, and labeled indicators of fraudulent activity. Designed for machine learning and analytics, it enables robust research and development of fraud detection models in healthcare and insurance. The dataset supports granular analysis of claim patterns, provider behaviors, and patient demographics to identify and prevent fraudulent claims.

20 cols

  • is_fraud
  • diagnosis_code
  • procedure_code
  • claim_amount
  • +16
Open in factory
is_fraud
false
diagnosis_code
E11.9
procedure_code
99213

Policies & premiumsTop 10 most opened

Insurance Policyholder Churn Insights

Insurance policyholders, their demographic details, policy information

This dataset provides a comprehensive view of insurance policyholders, their demographic details, policy information, claims history, and churn status for both life and auto insurance products. It is designed to support predictive modeling of customer attrition, enabling insurers to identify at-risk customers and develop targeted retention strategies. The inclusion of satisfaction scores, contact history, and churn reasons makes it ideal for advanced analytics and customer experience optimization.

31 cols

  • policy_type
  • policy_status
  • churned
  • churn_reason
  • +27
Open in factory
policy_type
auto
policy_status
active
churned
false

Claims & fraud

Healthcare Insurance Claim Scenarios

Patient demographics, provider information, claim amounts

This dataset provides detailed records of healthcare insurance claim submissions, including patient demographics, provider information, claim amounts, reimbursement outcomes, denial reasons, and fraud indicators. It is ideal for operational analytics, process automation, and advanced fraud detection in healthcare insurance workflows.

25 cols

  • claim_amount
  • claim_status
  • claim_submission_date
  • reimbursed_amount
  • +21
Open in factory
claim_amount
152.75
claim_status
approved
reimbursed_amount
150

Risk & actuarial

Insurance Risk Factor Simulation Table

Synthetic risk factors, detailed claim histories

This dataset simulates comprehensive insurance policyholder profiles, including synthetic risk factors, detailed claim histories, and calculated risk scores for pricing and underwriting. It enables advanced analytics for risk modeling, claims analysis, and premium optimization across multiple insurance product lines.

30 cols

  • risk_factors_age
  • risk_factors_smoker
  • risk_factors_credit_score
  • risk_factors_vehicle_type
  • +26
Open in factory
risk_factors_age
59
risk_factors_smoker
true
risk_factors_credit_score
612

Policies & premiums

Health Insurance Plan Comparison

Premiums, deductibles, copays, coverage details, network size

This dataset provides a comprehensive comparison of synthetic health insurance plans, including premiums, deductibles, copays, coverage details, network size, and plan features across US states. It enables robust analysis for recommendation engines, consumer research, and market benchmarking by offering granular, standardized plan attributes.

20 cols

  • plan_name
  • plan_type
  • plan_year
  • provider_name
  • +16
Open in factory
plan_name
Bronze Essentials HMO
plan_type
HMO
plan_year
2025

Claims & fraudTop 10 most opened

Insurance Claims Fraud Detection

Customer demographics, policy details, incident descriptions

This synthetic insurance claims dataset provides detailed records of individual claims, including customer demographics, policy details, incident descriptions, and a fraud label for supervised learning. Designed for fraud detection and claim triage automation, the dataset enables advanced analytics and machine learning model development for the insurance industry.

27 cols

  • claim_amount
  • claim_type
  • claim_status
  • fraud_reported
  • +23
Open in factory
claim_amount
18500.75
claim_type
auto
claim_status
approved

Claims & fraud

Insurance Policy Claims Summary

Detailed claim information, claimant demographics, policy attributes

This dataset provides a comprehensive summary of insurance policy claims, including detailed claim information, claimant demographics, policy attributes, and risk indicators. It enables insurers to analyze claim frequency, identify high-risk claimants, detect potential fraud, and streamline claims processing for improved risk management and operational efficiency.

26 cols

  • claim_status
  • claim_type
  • claim_amount
  • claim_reason
  • +22
Open in factory
claim_status
approved
claim_type
auto
claim_amount
4200.75

Claims & fraud

Medical Claims Fraud Scenarios

Flags and scores for a variety of fraud scenarios

This dataset contains simulated health insurance claims with detailed patient, provider, and service information, including flags and scores for a variety of fraud scenarios. It is designed to support the development and evaluation of fraud detection algorithms, audit workflows, and compliance monitoring in healthcare insurance. The dataset enables analysis of both common and rare fraudulent patterns for improved anomaly detection.

20 cols

  • claim_amount
  • fraud_flag
  • fraud_scenario
  • fraud_score
  • +16
Open in factory
claim_amount
112.4
fraud_flag
false
diagnosis_code
J01.90

Claims & fraud

Claim Processing Step Timings

Breakdown of insurance claim processing workflows, capturing the timing

This dataset provides a detailed breakdown of insurance claim processing workflows, capturing the timing, status, and responsibility for each individual step. It enables granular analysis of process efficiency, identification of bottlenecks, and supports operational improvement initiatives. With step-level timing and status data, organizations can optimize claims handling and enhance customer satisfaction.

11 cols

  • step_name
  • step_sequence
  • step_status
  • step_start_datetime
  • +7
Open in factory
step_name
Initial Review
step_sequence
1
step_status
completed

Policies & premiums

Insurance Inquiry Response Times

Customer insurance inquiries, capturing response times, channels

This dataset provides granular tracking of customer insurance inquiries, capturing response times, channels, agent assignments, and customer satisfaction ratings. It enables detailed analysis of service performance, bottlenecks, and customer experience, supporting operational improvements and compliance monitoring in the insurance sector.

12 cols

  • inquiry_type
  • inquiry_channel
  • inquiry_datetime
  • response_datetime
  • +8
Open in factory
inquiry_type
quote
inquiry_channel
web
response_time_minutes
16.75

Policies & premiums

Policyholder Premium Payment Records

Payment status, due dates, amounts, and policyholder details

This dataset provides detailed records of insurance premium payments, including payment status, due dates, amounts, and policyholder details. It enables monitoring of timely, late, or missed payments for risk assessment, operational efficiency, and customer management. The dataset is ideal for payment analytics, risk modeling, and improving premium collection processes.

20 cols

  • premium_amount_due
  • premium_amount_paid
  • payment_status
  • payment_method
  • +16
Open in factory
premium_amount_due
1125.75
premium_amount_paid
1125.75
payment_status
paid

Claims & fraudTop 10 most opened

Claim Fraud Detection Dataset

Incident specifics, claimant demographics, policy details

This synthetic insurance claim fraud detection dataset contains detailed records of claims, including incident specifics, claimant demographics, policy details, and fraud indicators. Designed for developing and testing machine learning models, it enables insurers and researchers to identify patterns of fraudulent activity and improve risk assessment strategies.

26 cols

  • claim_amount
  • claim_status
  • fraud_reported
  • fraud_probability_score
  • +22
Open in factory
claim_amount
4200.5
claim_status
under_review
fraud_reported
false

Real codes. Never real policyholders.

Code systems found in the sample rows of all 66 insurance datasets.

Code systemDatasets using it, of 66
  1. ISO 3166countries24USA · US
  2. ISO 4217currencies15USD · EUR · JPY
  3. ICD-10diagnoses7E11.9 · J45.90 · J01.90
  4. CPTprocedures799213
  5. CARCdenial reasons1CO45
  6. NDCdrug products112345-6789-01
  7. NAICSindustries1541612
  8. SICindustries12752
A person from the Healthcare Insurance Claim Scenarios datasetGenerated
patient_first_name
Emily
patient_last_name
Turner
patient_date_of_birth
1992-01-23
patient_gender
female
diagnosis_code
J06.9

Generated   Real code

Most common columnsDatasets, of 66
  1. policy_id28
  2. claim_id27
  3. claim_status22
  4. claim_amount18
  5. claim_date17

Not quite what you need? Describe it.

One sentence in. A dataset with that pattern out.

  • New policies: 5× fraud
  • Real vehicle makes
  • 3% missing amounts
Preview 20 rows freeNo signup. No card.
Fraud rate by policy age at claim
0%10%20%15%<30 days14%30–1803%180+ days
Sample rows for: Motor claims where claims made within 30 days of a policy starting are 5× more likely to be fraud, with real vehicle makes and 3% of claim amounts missing.
policy_age_daysvehicle_makeclaim_gbpfraud
12BMW8400yes
410Toyota1250no
21Audi—yes
95Ford2300no

A pattern you asked for Everything else

Next door to insurance.

All 19 categories →

Collections

Try a search

What should your data show?

Preview 20 rows free
No signup. No card.