KGP Synthetic Regional Pawn Conditions for New York Under Holiday Liquidity Scenario

37 monthly regional records simulate pawn market conditions for a multi-location lender in New York. This synthetic dataset, created by gene fur and versioned 2026-04-13, models a holiday liquidity spike scenario with indicators for consumer stress, loan demand, and gold dependency. It is designed for research and modeling, containing no real customer-level data.

Use Cases

• Modeling regional loan demand variations based on described consumer stress and redeem behavior indicators.
• Simulating pawn shop operating environments under specific holiday liquidity scenarios.
• Analyzing correlations between consumer stress and default rates as mentioned in the key observations.
• Testing financial models with area-level divergence in regional loan conditions.

Strengths

• Contains 37 rows of monthly regional data for longitudinal analysis.
• Explicitly models a specific scenario (holiday liquidity spike) with a realism score of 1.0.
• Data is openly licensed (CC-BY-4.0) and available in multiple formats (CSV, JSON, Parquet).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is synthetic and contains no real customer-level data, limiting real-world validation.
• At 46.8 KB, the dataset is very small in scale.

Provenance

Source

figshare, with cross-platform references to Zenodo, OpenML, Kaggle, and GitHub.

Collection Method

Synthetically generated for research and modeling.

Time Range

Scenario-based; version dated 2026-04-13.

Freshness

Last updated 2026-04 14 18:03:24.

Geography

New York operating areas including Freeport, Brooklyn, Bronx, and Westchester.