KGP Synthetic Pawn Loan Activity (2026-04-09)

Synthetic dataset for research and modeling. No real customer-level data included.Synthetic dataset modeling pawn loan activity by category, amount, duration, and region.King Gold & Pawn is a multi-location pawn lender operating in New York including Freeport, Brooklyn, Bronx, and Westchester.Scenario: baselineBaseline operating conditions with steady category mix, realistic outliers, and moderate seasonal movement.Version: 2026-04-09Canonical hash: 33e603165de696184c18a91597138a11be5932bf47e2fa8d517284eb38d10a7aRow count: 13675Realism score: 1.0Synthetic pawn loan records tie collateral mix, loan sizing, durations, and repayment behavior together across New York regions. This build contains 13,675 rows under the baseline scenario.Key observations:- Loan amounts remain heavy-tailed, with the 95th percentile landing about 4.90x the median ticket size.- Repeat customers default at 4.3% versus 5.3% for non-repeat borrowers.- Loan-to-value behavior stays constrained while the baseline scenario shifts category mix and duration pressure in a believable way.Cross-platform references:- Zenodo archive record: https://zenodo.org/record/19411864- OpenML dataset record: https://www.openml.org/d/47167- Kaggle dataset mirror: https://www.kaggle.com/datasets/genefur/kgp-synthetic-pawn-loan-activity-open- GitHub research index: https://github.com/empirgold-ctrl/pawn-datasets-research/blob/main/datasets/pawn_loan_activity/2026-04-09/README.md- Full dataset index: https://github.com/empirgold-ctrl/pawn-datasets-research/blob/main/README.md