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 37 rows under the seasonal back to school scenario. Version: 2026-04-17 Canonical hash: 0b31f59019016619d4f0eb0e6863448056545cd964a767e59e1e414b696d07dd Row count: 37 Realism score: 1.0 Key Observations Collateral shares normalize to 0.00% 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 (2026-04-13, holiday_liquidity_spike) via zenodo: https://zenodo.org/record/19579386 pawn loan activity (2026-04-14, baseline) via zenodo: https://zenodo.org/record/19579387 gold price vs pawn activity (2026-04-15, high_gold_price_cycle) via zenodo: https://zenodo.org/record/19583190 customer behavior segments (2026-04-16, consumer_stress_cycle) via zenodo: https://zenodo.org/record/19600668 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 Figshare dataset mirror: https://api.figshare.com/v2/articles/31988883 Figshare dataset mirror DOI: 10.6084/m9.figshare.31988883.v1 OpenML dataset record: https://www.openml.org/d/47181 GitHub research index: https://github.com/empirgold-ctrl/pawn-datasets-research/blob/main/datasets/collateral_distribution_and_liquidity/2026-04-17/README.md HuggingFace dataset mirror: https://huggingface.co/datasets/CollateralAnalytics/kgp-synthetic-collateral-distribution-and-liquidity