Synthetic dataset for research and modeling. No real customer-level data included. Synthetic macro and regional operating environment indicators for pawn and collateral lending. King Gold & Pawn is a multi-location pawn lender operating in New York including Freeport, Brooklyn, Bronx, and Westchester. Scenario: holiday_liquidity_spike Short-term borrowing activity increases around holiday periods, especially for smaller durations and mixed collateral. Synthetic regional market indicators capture how consumer stress, loan demand, redeem behavior, and gold dependency vary across New York operating areas. This build contains 252 rows under the holiday liquidity spike scenario. Version: 2026-04-03 Canonical hash: 12ef10216e0d538a0fe05ac307c0185a694a5d5492c041c55057dbb270e5520a Row count: 252 Realism score: 1.0 Key Observations Consumer stress and default rates move together with a modeled correlation of 0.69. Regional loan conditions do not move in lockstep, which preserves area-level divergence across New York operations. This build includes 252 monthly regional records under the holiday liquidity spike scenario for longitudinal analysis. Kaggle dataset mirror: https://www.kaggle.com/datasets/genefur/kgp-synthetic-regional-pawn-market-conditions

Synthetic dataset for research and modeling. No real customer-level data included.