Property Claims - Fire and Perils

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.

  • last updated 2 Nov 2025
  • by GoMask
The brief that made it

Claims analytics and fraud detection

Sample rows

preview · 8 of 1,000 rows · all 26 columns
claim_idstringperil_typestringcontents_inventory_total_valuefloatproperty_countrystringpolicy_idstringclaimant_namestringclaimant_contact_phonestringclaimant_contact_emailstringproperty_street_addressstringproperty_citystringproperty_statestringproperty_postal_codestringdate_of_lossdatedate_claim_reporteddatedamage_assessment_amountfloatrestoration_estimate_amountfloatactual_cash_value_amountfloatreplacement_cost_value_amountfloatcontents_inventory_countintegerclaim_statusstringclaim_settlement_amountfloatadjuster_namestringadjuster_contact_phonestringadjuster_contact_emailstringdamage_descriptionstringnotesstring
CLM00001water2250USAPOL10001James Rodriguez+1-917-555-2187jrodriguez.ny@email.com1123 Maple AvenueNew YorkNY100092024-01-142024-01-159300.258500800096005paid8700Mark Ellison+1-212-555-1724mark.ellison@insureco.usWater damage due to burst pipe in basement, affecting flooring and furniture.Restoration completed by AquaRestore Inc. Invoice attached.
CLM00002fire1800IrelandPOL10002Linda O'Connor+353-21-555-9821linda.oconnor@email.ie27 Main StreetCorkMunsterT12DF7P2023-11-302023-12-0378007200650080004closed7400Siobhan McCarthy+353-1-555-3328siobhan.mccarthy@insureco.ieSmoke and fire damage to kitchen appliances and cabinetry after stove malfunction.Claim closed after repair. Inspection photos in file.
CLM00003theft16500RussiaPOL10003Viktor Ivanov+7-495-555-7192v.ivanov@email.ruUlitsa Tverskaya 14MoscowMoscow1010002022-08-122022-08-1319500110014500198009paid16000Irina Petrovna+7-812-555-3344irina.petrovna@insureco.ruTheft of electronics and jewelry from apartment during absence.Police report filed. Documentation reviewed.
CLM00004wind900ItalyPOL10004Giulia Romano+39-06-555-9173giulia.romano@email.itVia del Corso 22RomeLazio001862024-03-102024-03-1267006800590071002openblankMarco Bianchi+39-06-555-1187marco.bianchi@insureco.itSevere wind caused roof tile dislodgement and window breakage.Awaiting contractor quotes.
CLM00005hail400UKPOL10005Emma Johnson+44-20-555-8137emma.johnson@email.co.uk47 High StreetLondonEnglandSW1A2AA2023-12-252023-12-2654005200460057001closed5000Rachel Green+44-20-555-3279rachel.green@insureco.ukHail storm caused window damage and dents in car parked outside.Secondary inspection confirmed damages.
CLM00006water2600MexicoPOL10006Carlos Mendoza+52-55-555-2198carlos.mendoza@email.mxCalle Juarez 9Mexico CityCDMX060002024-04-022024-04-0387009200790093006paid9000Miguel Torres+52-55-555-3091miguel.torres@insureco.mxFlooding from heavy rains damaged living room and electronics.Restoration in progress. All receipts attached.
CLM00007wind1200USAPOL10007Amelia Carter+1-515-555-3192amelia.carter@email.com820 Cedar LaneDes MoinesIA503092023-09-182023-09-1941003900350043003under reviewblankSteven Clark+1-515-555-2017steven.clark@insureco.usWindstorm uprooted fence and damaged backyard shed.Awaiting engineering report.
CLM00008fire3700RussiaPOL10008Olga Kuznetsova+7-812-555-8011olga.kuznetsova@email.ruNevsky Prospekt 47St. PetersburgSPB1900002024-02-112024-02-12112001280010200135007paid12000Ivan Smirnov+7-495-555-6712ivan.smirnov@insureco.ruElectrical fire damaged bedroom and hallway, extensive smoke residue.Expedited handling approved by supervisor.

What the 1,000 rows show

from the 1,000-row sample

Theft (peril type) stands out: mean contents_inventory_total_value is 7,100, against 819.1 for the rest.

  • 700median contents_inventory_total_value
  • 5claim statuses
  • 110property states
  • 126property cities
  • 4,300median damage_assessment_amount
  • 3,900median restoration_estimate_amount
Mean contents_inventory_total_value by peril_type1,000 rows
04,0008,0001,648fire194 r…435.7wind199 r…299.5hail102 r…871.2water262 r…7,100theft160 r…278.3other82 ro…0.0deni…1 rows
contents_inventory_total_value1,000 rows, in bands of 2,500
04108208187529451411404012.5k22.5kcontents_inventory_total_value →

Median 700, from 0 to 22,100.

property_country1,000 rows · top 10 of 26 values
  1. USA305
  2. Russia94
  3. UK73
  4. Ireland68
  5. Italy66
  6. Mexico50
  7. Estonia46
  8. Canada38
  9. India37
  10. Ukraine35
26 columns by typefrom the column list below
  • string 17
  • integer 1
  • float 6
  • date 2

Columns

26 columns in three groups
blueprint · 26 columns
columntypedescriptionexample
Text 17 columns
claim_idstringUnique identifier for the property claimuniqueCLM00001
policy_idstringUnique identifier for the insurance policy associated with the claimPOL10001
claimant_namestringFull name of the person or entity filing the claimJames Rodriguez
claimant_contact_phonestringPrimary phone number for the claimantoptional+1-917-555-2187
claimant_contact_emailstringEmail address for the claimantoptionaljrodriguez.ny@email.com
property_street_addressstringStreet address of the damaged property1123 Maple Avenue
property_citystringCity where the damaged property is locatedNew York
property_statestringState or province where the damaged property is locatedNY
property_postal_codestringPostal code for the damaged property10009
property_countrystringCountry where the damaged property is locatedUSA
peril_typestringType of peril causing the damage (e.g., fire, wind, hail, water, theft, other)6 valueswater
damage_descriptionstringDetailed description of the damage sustainedWater damage due to burst…
claim_statusstringCurrent status of the claim (e.g., open, closed, under review, denied, paid)open · closed · under review · denied · paidpaid
adjuster_namestringName of the insurance adjuster assigned to the claimoptionalMark Ellison
adjuster_contact_phonestringPhone number for the insurance adjusteroptional+1-212-555-1724
adjuster_contact_emailstringEmail address for the insurance adjusteroptionalmark.ellison@insureco.us
notesstringAdditional notes or comments related to the claimoptionalGarage repair completed.
Numbers 7 columns
damage_assessment_amountfloatAssessed monetary value of the damage to the property0 or more9300.25
restoration_estimate_amountfloatEstimated cost to restore the property to its pre-loss condition0 or more · optional8500
actual_cash_value_amountfloatActual cash value (ACV) determined for the damaged property or contents0 or more · optional8000
replacement_cost_value_amountfloatReplacement cost value (RCV) determined for the damaged property or contents0 or more · optional9600
contents_inventory_countintegerNumber of individual contents items inventoried in the claim0 or more · optional5
contents_inventory_total_valuefloatTotal assessed value of all inventoried contents items0 or more · optional2250
claim_settlement_amountfloatFinal settlement amount paid or approved for the claim0 or more · optional8700
Dates and times 2 columns
date_of_lossdateDate when the damage or loss occurred2024-01-14
date_claim_reporteddateDate when the claim was reported to the insurer2024-01-15

Use it for

  • median content…7001,000 rowsmean contents invento…1.6kfire435.7wind299.5hail871.2water

    An insurance dashboard

    Contents_inventory_total_value by peril_type and a breakdown of property_country. Excel, Power BI or Tableau.

  • Why do the 160 theft rows have a mean contents_inventory_total_value of 7,100?

    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, claimant_name and claimant_contact_phone to fill a screen in front of a buyer.

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This dataset1,000 rows26 columns
Yours1,000 rows26 columnsproperty_street_address: UK only

blueprint · property-claims-fire-and-perils

Behind this dataset

Same schema. As many rows as you need.

These 1,000 rows came out of a blueprint — 26 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
  • Peril type coded per ISO cause of loss
  • Building damage vs contents damage separated
  • Actual Cash Value (ACV) vs Replacement Cost Value (RCV)
  • Depreciation applied for ACV
  • Coinsurance penalty if underinsured
  • Deductible applied per occurrence
  • Emergency mitigation expenses
  • Additional living expenses (ALE) for uninhabitable properties
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
property-claims-fire-and-perils

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