Insurance Policy Claim Payouts

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.

  • last updated 22 Jul 2025
  • by GoMask
The brief that made it

Loss ratio and risk modeling for insurance portfolios

Sample rows

preview · 8 of 200 rows · all 19 columns
claim_idstringclaim_typestringcustomer_ageintegervalidation_stagestringpolicy_idstringcustomer_idstringclaim_submission_datedateincident_datedateclaim_statusstringvalidation_resultstringvalidation_completed_datedatepayout_amountfloatpayout_datedateclaim_reasonstringclaim_amount_requestedfloatpolicy_effective_datedatepolicy_expiry_datedatecustomer_genderstringcustomer_regionstring
CLM-0001auto28initial_reviewPOL-1001CUST-00012023-06-132023-06-10submittedpendingblank0blankrear_end_collision2000.52021-05-012024-05-01maleCalifornia
CLM-0002auto34fraud_checkPOL-1002CUST-00022024-01-142024-01-10under_reviewpendingblank0blankvandalism3500.752022-01-142025-01-14femaleTexas
CLM-0003property54completedPOL-1003CUST-00032022-07-112022-07-09paidpassed2022-07-15125002022-07-16fire_damage150002017-07-102027-07-10malePennsylvania
CLM-0004property48completedPOL-1004CUST-00042020-03-122020-03-11closedpassed2020-03-1580002020-03-18theft_burglary90002013-03-122023-03-12femaleIllinois
CLM-0005health60fraud_checkPOL-1005CUST-00052021-11-202021-11-18rejectedfailed2021-11-250blankcosmetic_surgery160002019-11-202029-11-20femaleFlorida
CLM-0006health66final_approvalPOL-1006CUST-00062022-09-302022-09-29approvedpassed2022-10-020blankdental_procedure120002020-09-302025-09-30maleLouisiana
CLM-0007life77completedPOL-1007CUST-00072023-04-082023-04-05paidpassed2023-04-104300002023-04-12natural_death5000002009-04-082029-04-08femaleMaine
CLM-0008auto22initial_reviewPOL-1008CUST-00082022-01-212022-01-19submittedpendingblank0blankwindshield_damage5502021-01-212024-01-21otherNew York

What the 200 rows show

from the 200-row sample

Life (claim type) stands out: mean customer_age is 77.0, against 38.9 for the rest.

  • 39median customer_age
  • 3validation results
  • 4customer genders
  • 6claim statuses
  • 20claim reasons
  • 23customer regions
Mean customer_age by claim_type200 rows
0408047.8proper…55 rows27.3auto60 rows40.0health46 rows77.0life22 rows48.1other17 rows
customer_age200 rows, in bands of 10
0306021155333024221364050100customer_age →

Median 39, from 0 to 99.

validation_stage197 rows with a value · 3 left blank
  1. completed83
  2. initial_review47
  3. fraud_check27
  4. final_approval24
  5. documentation16
19 columns by typefrom the column list below
  • string 10
  • integer 1
  • float 2
  • date 6

Columns

19 columns in three groups
blueprint · 19 columns
columntypedescriptionexample
Text 10 columns
claim_idstringUnique identifier for each insurance claimuniqueCLM-0001
policy_idstringUnique identifier for the insurance policy associated with the claimPOL-1001
customer_idstringUnique identifier for the customer who owns the policyCUST-0001
claim_statusstringCurrent status of the claim in the workflow6 valuessubmitted
validation_stagestringCurrent validation stage of the claim (e.g., initial review, fraud check, documentation, final approval)5 values · optionalinitial_review
validation_resultstringResult of the most recent validation step (e.g., passed, failed, pending)passed · failed · pending · optionalpending
claim_typestringType of claim (e.g., property, auto, health, life)property · auto · health · life · otherauto
claim_reasonstringShort description or code for the reason the claim was filedrear_end_collision
customer_genderstringGender of the customermale · female · other · prefer_not_to_say · optionalmale
customer_regionstringGeographic region or state of the customeroptionalCalifornia
Numbers 3 columns
payout_amountfloatAmount paid out for the claim (0 if not paid or rejected)0 or more0
claim_amount_requestedfloatAmount initially requested by the claimant0 or more2000.5
customer_ageintegerAge of the customer at the time of claim submission0 or more · optional28
Dates and times 6 columns
claim_submission_datedateDate when the claim was submitted2023-06-13
incident_datedateDate of the incident that led to the claim2023-06-10
validation_completed_datedateDate when the validation process was completed for the claimoptional2022-07-15
payout_datedateDate when the payout was made to the customeroptional2022-07-16
policy_effective_datedateStart date of the insurance policyoptional2021-05-01
policy_expiry_datedateEnd date of the insurance policyoptional2024-05-01

Use it for

  • median custome…39200 rowsmean customer age by …47.8prop…27.3auto40.0heal…77.0life

    An insurance dashboard

    Customer_age by claim_type and a breakdown of validation_stage. Excel, Power BI or Tableau.

  • Why do the 22 life rows have a mean customer_age of 77.0?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable claims with policy_id, customer_id and claim_submission_date to fill a screen in front of a buyer.

Not quite right?

Make it yours.

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This dataset200 rows19 columns
Yours1,000 rows19 columnscustomer_region: UK only

blueprint · insurance-policy-claim-payouts

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 19 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Each claim includes policy, event, and payout fields.
  • Fraud flags and reviewer notes optional.
  • Multi-stage status (filed, in review, closed) logged.
  • Time-to-payout and denial reasons included.
Rows
Open the blueprint in Data Factory

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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
insurance-policy-claim-payouts

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