KGP Synthetic Collateral Distribution and Liquidity

Synthetic dataset for research and modeling. No real customer-level data included. Synthetic category-level view of collateral mix, value bands, and liquidity characteristics. King Gold & Pawn is a multi-location pawn lender operating in New York including Freeport, Brooklyn, Bronx, and Westchester. Scenario: seasonal_back_to_school Electronics and smaller-ticket demand shift seasonally as late-summer and early-fall liquidity needs rise. Synthetic collateral mix data shows how value, liquidity, and seasonality differ across core pawn inventory categories and subcategories. This build contains 48 rows under the seasonal back to school scenario. Version: 2026-04-12 Canonical hash: 648d207daea6369e0956e07b0d9a183271194f32b559029bade26d43f9287b76 Row count: 48 Realism score: 1.0 Key Observations Collateral shares normalize to 100.00% of total inventory, keeping the mix internally consistent. Jewelry and many electronics rows retain higher liquidity scores than tools or miscellaneous collateral, which preserves realistic resale asymmetry. The seasonal back to school scenario keeps both mid-value and high-value subcategories in the same bundle so analysts can see meaningful spread instead of flat averages. Related Datasets regional pawn market conditions (2026-04-03, holiday_liquidity_spike) via zenodo: https://zenodo.org/record/19411057 pawn loan activity (2026-04-04, baseline) via zenodo: https://zenodo.org/record/19411864 gold price vs pawn activity (2026-04-10, high_gold_price_cycle) via zenodo: https://zenodo.org/record/19502492 customer behavior segments (2026-04-11, consumer_stress_cycle) via zenodo: https://zenodo.org/record/19503329 Full dataset index: https://github.com/empirgold-ctrl/pawn-datasets-research/blob/main/README.md Kaggle dataset mirror: https://www.kaggle.com/datasets/genefur/kgp-synthetic-collateral-liquidity OpenML dataset record: https://www.openml.org/d/47172 GitHub research index: https://github.com/empirgold-ctrl/pawn-datasets-research/blob/main/datasets/collateral_distribution_and_liquidity/2026-04-12/README.md