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 2 of 3

Showing all 24 on this page

Reinsurance

Surplus Share Reinsurance Treaties

Terms of risk retention, cession, premium and loss sharing

This dataset provides detailed records of surplus share reinsurance treaties, including terms of risk retention, cession, premium and loss sharing, and treaty status. It enables analysis of reinsurance arrangements between insurers and reinsurers, supporting risk management, regulatory reporting, and treaty portfolio optimization.

16 cols

  • reinsurer_company_name
  • surplus_lines
  • treaty_status
  • treaty_effective_date
  • +12
Open in factory
reinsurer_company_name
Global Re Corp
surplus_lines
4
treaty_status
active

Reinsurance

Quota Share Reinsurance Treaties

Contract terms, participating companies, financial percentages

This dataset provides detailed records of quota share reinsurance treaties, including contract terms, participating companies, financial percentages, and commission structures. It enables comprehensive analysis of proportional risk-sharing agreements in the insurance industry, supporting operational management, regulatory compliance, and strategic decision-making.

16 cols

  • reinsurer_company_name
  • quota_share_percentage
  • treaty_effective_date
  • treaty_expiry_date
  • +12
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reinsurer_company_name
Swiss Re
quota_share_percentage
16.5
cedent_company_name
Liberty Mutual

Reinsurance

Excess of Loss Reinsurance Treaties

Financial terms, coverage limits, reinstatement provisions

This dataset provides detailed information on property catastrophe excess of loss reinsurance treaties, including financial terms, coverage limits, reinstatement provisions, territorial scope, and involved parties. It enables comprehensive analysis of catastrophe risk transfer, treaty structuring, and market benchmarking for insurers and reinsurers.

18 cols

  • reinsurer_name
  • treaty_year
  • reinstatement_allowed
  • number_of_reinstatements
  • +14
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reinsurer_name
Munich Re
treaty_year
2021
reinstatement_allowed
true

Risk & actuarial

Probable Maximum Loss (PML) Estimates

Loss amounts at multiple return periods and confidence levels

This dataset provides detailed Probable Maximum Loss (PML) estimates for various catastrophe exposures, including loss amounts at multiple return periods and confidence levels. It is designed to support reinsurance purchasing, risk management, and regulatory reporting by offering granular, traceable loss metrics across exposures and event types. The dataset is ideal for actuaries, risk managers, and insurance analysts seeking to quantify and manage catastrophic risk.

11 cols

  • pml_amount
  • catastrophe_type
  • return_period_years
  • confidence_level_percent
  • +7
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pml_amount
250000000
catastrophe_type
hurricane
return_period_years
100

Claims & fraud

Professional Liability and E&O Claims

Allegations, defense costs, expert witness fees, regulatory involvement

This dataset provides detailed records of professional liability and errors & omissions claims, including allegations, defense costs, expert witness fees, regulatory involvement, and settlement outcomes. It enables comprehensive analysis of claim trends, risk factors, and financial impacts across various professions and jurisdictions.

20 cols

  • claimant_name
  • claimant_type
  • professional_name
  • professional_type
  • +16
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claimant_name
Emily Harper
claimant_type
client
professional_name
Dr. Steven K. Lee

Claims & fraud

Property Claims - Fire and Perils

Property damage insurance claims resulting from fire, wind, hail, water

This dataset provides detailed, structured records of property damage insurance claims resulting from fire, wind, hail, water, theft, and other perils. It includes claim details, damage assessments, restoration costs, contents inventories, and actual vs replacement value determinations, making it ideal for claims analytics, risk modeling, and operational reporting.

26 cols

  • claimant_name
  • date_claim_reported
  • peril_type
  • claim_status
  • +22
Open in factory
claimant_name
James Rodriguez
date_claim_reported
2024-01-15
peril_type
water

Claims & fraud

Claims Adjuster Assignments and Workload

Caseloads, pending claims, claim complexity, geographic territories

This dataset offers detailed tracking of claims adjuster assignments, including caseloads, pending claims, claim complexity, geographic territories, and performance metrics. It enables insurance organizations to optimize resource allocation, monitor adjuster workloads, and improve claim resolution quality across regions. Ideal for operational analytics, workforce planning, and quality management in claims processing.

16 cols

  • adjuster_name
  • claim_status
  • claim_complexity_rating
  • pending_claims_count
  • +12
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adjuster_name
Lisa Ray
claim_status
pending
claim_complexity_rating
4

Claims & fraud

Claims Litigation and Legal Expenses

Lawsuit particulars, defense strategies, legal counsel assignments

This dataset provides detailed records of insurance-related litigation cases, including lawsuit particulars, defense strategies, legal counsel assignments, trial schedules, settlement negotiations, verdict outcomes, and comprehensive legal expense tracking. It enables robust analysis of legal risk, cost management, and case outcomes for insurers and legal teams.

20 cols

  • legal_counsel_name
  • legal_counsel_contact
  • legal_expense_total
  • legal_expense_breakdown
  • +16
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legal_counsel_name
Fisher & Goldstein LLP
legal_counsel_contact
contact@fishergoldstein.com
legal_expense_total
18800.5

Claims & fraud

Subrogation and Recovery Cases

Case status, financial recovery potential, legal actions taken

This dataset provides detailed records of insurance subrogation and recovery cases, including case status, financial recovery potential, legal actions taken, and actual amounts collected. It enables insurers to monitor recovery efforts, analyze outcomes, and optimize legal strategies for claims against third parties. The dataset is ideal for operational reporting, legal analytics, and financial forecasting in insurance recovery operations.

18 cols

  • recovery_potential_amount
  • recovery_outcome
  • insured_name
  • insured_policy_number
  • +14
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recovery_potential_amount
18500.75
recovery_outcome
Ongoing
insured_name
Michael Thompson

Policies & premiums

Policy Fee and Service Charge Schedules

Policy, service, installment, reinstatement, NSF, audit

This dataset provides a detailed schedule of non-premium insurance fees—including policy, service, installment, reinstatement, NSF, audit, and other administrative charges—organized by US state and insurance product type, with effective and expiration dates for each entry. It enables regulatory compliance checks, fee benchmarking, and operational integration for insurers and agencies. The dataset is ideal for pricing analysis, state-by-state comparisons, and policy administration.

14 cols

  • policy_fee
  • service_fee
  • installment_fee
  • reinstatement_fee
  • +10
Open in factory
policy_fee
28.5
service_fee
6.75
installment_fee
3

Policies & premiums

Surplus Lines Tax and Fees

Premium taxes, inspection and fire marshal fees

This dataset provides detailed records of surplus lines insurance filings, including premium taxes, inspection and fire marshal fees, and other state-mandated charges for non-admitted placements. It enables comprehensive tracking of financial obligations, regulatory compliance, and market activity across states and stamping offices, supporting analytics for insurers, brokers, and regulators.

25 cols

  • premium_tax_rate
  • premium_tax_amount
  • total_fees_amount
  • insurer_name
  • +21
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premium_tax_rate
5.45
premium_tax_amount
6812.5
total_fees_amount
7192.5

Policies & premiums

Policy Audit Data and Premium Adjustments

Policy information, initial and actual exposure values, audit findings

This dataset provides detailed records of insurance premium audits, including policy information, initial and actual exposure values, audit findings, and premium adjustment calculations. It enables insurers and auditors to track policy compliance, identify discrepancies, and manage premium adjustments efficiently. The dataset is ideal for risk analysis, regulatory reporting, and operational audit optimization.

26 cols

  • policy_number
  • policy_holder_name
  • policy_holder_type
  • premium_basis
  • +22
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policy_number
PNX34812
policy_holder_name
Jessica M. Sanders
policy_holder_type
individual

Policies & premiums

Policy Cancellations and Reinstatements

Financial calculations, notice requirements, and policyholder information

This dataset provides detailed records of insurance policy cancellation and reinstatement transactions, including financial calculations, notice requirements, and policyholder information. It enables comprehensive analysis of cancellation trends, compliance with regulatory requirements, and customer retention strategies. Ideal for insurers seeking to optimize operational processes and improve customer experience.

23 cols

  • cancellation_reason
  • reinstatement_requested
  • reinstatement_conditions
  • reinstatement_approved
  • +19
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cancellation_reason
Non-payment of premium
reinstatement_requested
false
policyholder_name
Maria Gonzalez

Policies & premiums

Policy Renewals and Non-Renewals

Premium recalculations, coverage changes, underwriting reviews

This dataset provides a detailed record of insurance policy renewals and non-renewals, including premium recalculations, coverage changes, underwriting reviews, customer acceptance, and non-renewal notices with standardized reason codes. It is ideal for analyzing renewal trends, customer retention, risk management, and operational efficiency in insurance processes.

20 cols

  • premium_renewal
  • coverage_renewal
  • renewal_accepted_flag
  • non_renewal_flag
  • +16
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premium_renewal
1438.6
renewal_accepted_flag
true
non_renewal_flag
false

Claims & fraud

Medical Claims Fraud Detection

Patient, provider, policy, and transaction information

This dataset contains detailed records of healthcare insurance claims, including patient, provider, policy, and transaction information, along with fraud detection indicators and review outcomes. It enables insurers and healthcare analytics teams to identify fraudulent patterns, minimize financial losses, and maintain regulatory compliance through comprehensive claim-level analysis.

25 cols

  • claim_amount
  • claim_status
  • fraud_flag
  • fraud_score
  • +21
Open in factory
claim_amount
145
claim_status
approved
fraud_flag
false

Risk & actuarialTop 10 most opened

Insurance Underwriting Risk Analytics

Unified view of insurance applicants, their policies, and claims

This dataset provides a unified view of insurance applicants, their policies, and claims, enabling advanced risk modeling and underwriting decision support. It includes detailed demographic, policy, and claim information, making it ideal for predictive analytics, fraud detection, and portfolio risk assessment.

26 cols

  • risk_score
  • underwriting_decision
  • policy_type
  • policy_status
  • +22
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risk_score
0.42
underwriting_decision
approved
policy_type
auto

Policies & premiums

Insurance Customer Feedback Dataset

Policyholder demographics, detailed claims experience, Net Promoter Scores

This dataset provides a comprehensive view of insurance customer feedback, including policyholder demographics, detailed claims experience, Net Promoter Scores, and satisfaction ratings. It enables insurers to analyze service quality, claims handling, and customer retention intent, supporting targeted improvements and strategic decision-making.

20 cols

  • feedback_channel
  • feedback_text
  • customer_satisfaction_rating
  • feedback_date
  • +16
Open in factory
feedback_channel
web
customer_satisfaction_rating
5
policy_number
POL-50001

Claims & fraud

Claim Settlement Time Analysis

Insurance claim lifecycles, capturing detailed timestamps

This dataset provides a comprehensive view of insurance claim lifecycles, capturing detailed timestamps, financial amounts, claim types, customer feedback, and agent involvement. It enables in-depth analysis of settlement times, identification of process bottlenecks, and measurement of customer satisfaction, supporting operational improvements and strategic decision making for insurers.

22 cols

  • claim_type
  • claim_amount
  • claim_status
  • settlement_amount
  • +18
Open in factory
claim_type
auto
claim_amount
4250.75
claim_status
settled

Policies & premiumsTop 10 most opened

Insurance Customer Lifetime Value

Policy details, claims history, estimated lifetime value

This dataset provides detailed insurance customer profiles, including policy details, claims history, estimated lifetime value, and churn risk indicators. It enables insurers to identify high-value customers, predict churn, and optimize retention strategies through actionable insights. The comprehensive structure supports advanced analytics and customer segmentation for targeted interventions.

24 cols

  • customer_lifetime_value
  • policy_type
  • annual_premium
  • total_claims
  • +20
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customer_lifetime_value
10500
policy_type
auto
annual_premium
1350.55

Claims & fraud

Insurance Claim Severity Scores

Severity scores, key features used in risk assessment, and resolution times

This dataset provides detailed, claim-level insurance data including severity scores, key features used in risk assessment, and resolution times. It enables analytics teams to evaluate claim risk, optimize processing workflows, and improve payout accuracy. The comprehensive structure supports predictive modeling, operational analysis, and regulatory reporting.

19 cols

  • claim_type
  • claim_status
  • severity_score
  • claim_date
  • +15
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claim_type
auto
claim_status
closed
severity_score
0.37

Claims & fraud

Insurance Claims Severity Analysis

Severity ratings, claim amounts, incident types, policy details

This dataset provides detailed records of insurance claims, including severity ratings, claim amounts, incident types, policy details, and customer demographics. It is ideal for risk modeling, severity analysis, fraud detection, and insurance pricing optimization, supporting both operational and analytical needs in the insurance industry.

18 cols

  • claim_status
  • claim_amount
  • severity_level
  • claim_date
  • +14
Open in factory
claim_status
open
claim_amount
5420.75
severity_level
medium

Claims & fraudTop 10 most opened

Health Insurance Claim Patterns

Demographic information, clinical codes, financial details

This dataset provides detailed records of health insurance claims, including demographic information, clinical codes, financial details, and process statuses. It is ideal for analyzing claim patterns, detecting potential fraud, and optimizing insurance workflows. The inclusion of both member and provider data enables comprehensive trend analysis and risk assessment.

20 cols

  • claim_status
  • claim_amount
  • claim_type
  • claim_date
  • +16
Open in factory
claim_status
approved
claim_amount
325.5
claim_type
outpatient

Claims & fraud

Healthcare Claims Fraud Analysis

Claim amounts, medical codes, patient and provider information

This dataset contains detailed records of healthcare insurance claims, including claim amounts, medical codes, patient and provider information, and fraud indicators. It is designed to support advanced fraud detection and analysis by capturing submission patterns, approval outcomes, and relevant metadata for each claim. The dataset is ideal for insurers, data scientists, and healthcare analysts seeking to identify fraudulent activity and optimize claims processing.

22 cols

  • claim_status
  • claim_amount
  • fraud_flag
  • fraud_detection_method
  • +18
Open in factory
claim_status
approved
claim_amount
310.5
fraud_flag
false

Policies & premiumsTop 10 most opened

Insurance Policy Renewal Prediction

Insurance policy renewals, combining detailed policy attributes

This dataset provides a comprehensive view of insurance policy renewals, combining detailed policy attributes, customer demographics, claims history, payment behavior, and renewal outcomes. It is ideal for predictive modeling, customer retention analysis, and operational optimization in the insurance industry.

23 cols

  • policy_type
  • policy_status
  • renewal_offer_sent
  • renewal_offer_amount
  • +19
Open in factory
policy_type
auto
policy_status
active
renewal_offer_sent
true

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
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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

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