KGP Synthetic Regional Pawn Market Conditions for New York

37 monthly regional records simulate pawn lending market conditions across New York under a holiday liquidity spike scenario. This synthetic dataset, created by gene fur and versioned on 2026-04-18, models indicators like consumer stress, loan demand, and default rates. It is designed for research and modeling, containing no real customer-level data.

Use Cases

• Modeling regional loan demand variations based on synthetic market indicators.
• Analyzing consumer stress and default correlation patterns across different operating areas.
• Simulating the impact of holiday periods on short-term borrowing activity and collateral mix.
• Studying area-level divergence in pawn shop operating conditions across New York.

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 mirrored across multiple platforms including Zenodo, OpenML, and HuggingFace.

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.
• The dataset is small, with a total size of 58.9 KB.

Provenance

Source

figshare, authored by gene fur.

Collection Method

Synthetically generated for research and modeling.

Time Range

Simulated monthly records under a specific scenario.

Freshness

Last updated 2026-04-18 00:53:20.

Geography

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