KGP Synthetic Regional Pawn Market Conditions
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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 37 rows under the holiday liquidity spike scenario. Version: 2026-04-18 Canonical hash: 1a73c4645fa79106329c09a76ba3076ff14848cc2311b0a5a39010c046b607d8 Row count: 37 Realism score: 1.0 Key Observations Consumer stress and default rates move together with a modeled correlation of 0.00. Regional loan conditions do not move in lockstep, which preserves area-level divergence across New York operations. This build includes 37 monthly regional records under the holiday liquidity spike scenario for longitudinal analysis. Related Datasets 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 collateral distribution and liquidity (2026-04-17, seasonal_back_to_school) via zenodo: https://zenodo.org/record/19618415 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-regional-pawn-market-conditions Figshare dataset mirror: https://api.figshare.com/v2/articles/32013498 Figshare dataset mirror DOI: 10.6084/m9.figshare.32013498.v1 OpenML dataset record: https://www.openml.org/d/47183 GitHub research index: https://github.com/empirgold-ctrl/pawn-datasets-research/blob/main/datasets/regional_pawn_market_conditions/2026-04-18/README.md HuggingFace dataset mirror: https://huggingface.co/datasets/CollateralAnalytics/kgp-synthetic-regional-pawn-market-conditions
本数据集为用于研究与建模的合成数据集，未包含任何真实客户级数据。 本数据集涵盖典当与抵押借贷场景下的宏观及区域运营环境合成指标。 金匠典当（King Gold & Pawn）是一家在纽约州布局多家门店的典当服务商，业务覆盖弗里波特（Freeport）、布鲁克林（Brooklyn）、布朗克斯（Bronx）以及威彻斯特（Westchester）地区。 场景：假日流动性峰值（holiday_liquidity_spike） 假日前后短期借贷活动会出现显著增长，尤以短期限及混合抵押品相关的借贷需求为甚。 本合成区域市场指标可反映纽约各运营区域内消费者压力、借贷需求、赎回行为以及黄金依赖度的差异。本数据集在假日流动性峰值场景下共包含37条数据记录。 版本：2026-04-18 规范哈希值：1a73c4645fa79106329c09a76ba3076ff14848cc2311b0a5a39010c046b607d8 数据行数：37 真实度评分：1.0 核心观测结论 消费者压力与违约率呈现同趋势变化，建模关联度为0.00。 各区域的借贷条件并非完全同步，保留了纽约各运营区域间的异质性差异。 本数据集包含假日流动性峰值场景下的37条月度区域记录，可用于纵向分析研究。 关联数据集 典当借贷活动（2026-04-14，基准版），托管于Zenodo平台：https://zenodo.org/record/19579387 黄金价格与典当活动（2026-04-15，高金价周期版），托管于Zenodo平台：https://zenodo.org/record/19583190 客户行为细分（2026-04-16，消费者压力周期版），托管于Zenodo平台：https://zenodo.org/record/19600668 抵押品分布与流动性（2026-04-17，季节性返校季版），托管于Zenodo平台：https://zenodo.org/record/19618415 完整数据集索引：https://github.com/empirgold-ctrl/pawn-datasets-research/blob/main/README.md Kaggle数据集镜像：https://www.kaggle.com/datasets/genefur/kgp-synthetic-regional-pawn-market-conditions Figshare数据集镜像：https://api.figshare.com/v2/articles/32013498 Figshare数据集镜像DOI：10.6084/m9.figshare.32013498.v1 OpenML数据集记录：https://www.openml.org/d/47183 GitHub研究索引：https://github.com/empirgold-ctrl/pawn-datasets-research/blob/main/datasets/regional_pawn_market_conditions/2026-04-18/README.md Hugging Face数据集镜像：https://huggingface.co/datasets/CollateralAnalytics/kgp-synthetic-regional-pawn-market-conditions
