F
Finantrix
WealthSynth/Divorce Financial Forensics Dataset
Tier 3

Divorce Financial Forensics Dataset

150 households in divorce transition with asset tracing and forensic financial detail.

Overview

Divorce financial planning requires specialized data that captures the complexity of asset division, support calculations, and forensic financial analysis. This dataset provides 150 households in various stages of divorce transition with asset tracing documentation, lifestyle analysis data, alimony and child support calculation scenarios, hidden asset detection patterns, and QDRO modeling for retirement account division. Designed for family law technology vendors, forensic accountants, and mediation software platforms.

What's Inside

150 households in divorce transition (pre-filing, litigation, settlement, post-decree)
Asset tracing documentation: separate vs. marital property, commingling scenarios
Lifestyle analysis data: spending patterns, standard of living calculations
Hidden asset detection patterns: business income underreporting, offshore accounts
QDRO modeling for 401(k), pension, and IRA division
Alimony and child support calculation scenarios across state formulas

Use Cases

Divorce financial planning software testing
QDRO calculation engine validation
Forensic accounting training scenarios
Mediation platform data requirements

Ideal Buyers

Family law attorneysForensic accountantsMediation software vendorsCollaborative divorce teams

Example firms: DivorceHelp123, Settle It, Hello Divorce, QDRO Consultants, Forensic CPA firms

Tags
DivorceForensic FinanceQDROAsset DivisionFamily Law
$6,000
One-time license
150 synthetic households
Annual refresh: $1,800/yr
Tier 3 package
High deviation from base corpus
Included in Download
JSONCSVParquet
Executive Brief PDF
25 free sample households included
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Enterprise licensing and custom corpus options available. Contact us for volume pricing.

High Deviation from Base Corpus

Requires significant custom modeling or external data layers. Delivery timeline discussed on order.

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