Synthetic Pawn Loan Activity for New York, 13,675 Records
by gene fur·Updated 1mo ago
8.0 MB6files
Available on 1 platform
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Description
13,675 synthetic records model pawn loan activity by category, amount, duration, and region for King Gold & Pawn, a multi-location lender in New York. The dataset, created by gene fur and released on 2026-04-09, simulates baseline operating conditions with steady category mix and realistic outliers. It is designed for research and modeling, containing no real customer-level data.
Use Cases
Modeling loan default risk based on repeat customer status and regional data.
Analyzing loan amount distributions and heavy-tailed financial behavior.
Simulating pawn shop portfolio performance under baseline economic conditions.
Researching loan-to-value (LTV) constraints and their relationship with collateral categories.
Strengths
Contains 13,675 rows of synthetic data, providing a substantial base for modeling.
Has a defined realism score of 1.0 for the baseline scenario.
Includes specific, quantified observations such as a 95th percentile loan amount 4.90x the median and a 4.3% default rate for repeat customers.
Available in multiple formats (CSV, JSON, Parquet) and is mirrored on several platforms (Zenodo, OpenML, Kaggle).
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
The data is entirely synthetic, which may limit direct applicability to real-world scenarios without validation.
Provenance
Source
gene fur via figshare, with mirrors on Zenodo, OpenML, and Kaggle.
Collection Method
Synthetically generated to model pawn loan activity.
Freshness
Last updated 2026-04-09 00:54:52; freshness should be verified.
Geography
New York, including Freeport, Brooklyn, Bronx, and Westchester.
License is CC-BY-4.0. The dataset is small (8.0 MB), which may limit the complexity of models it can support.