Housing Analytics Listing Trends
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**Overview** ListingTrends provides monthly snapshots of time-series housing data at the ZIP Code-level and above. CoreLogic ListingTrends utilizes deep and broad coverage of MLS data from 2007 forward to aggregate key housing metrics, including leading indicators of house prices, listing inventories, days on market and absorption rates by listing type – new, active, pending, closed and sold. Product Attributes: - Property appraisal - Loan underwriting and origination - Risk and fraud management - Real estate market forecasting **Use cases** - **Market Analysis** - Housing Analytics Listing Trends can provide key insights into the housing market's status and trends at a granular level. Real estate professionals, investors, and financial institutions can utilize this data to understand the market's direction and make informed strategic decisions. - **Customer Acquisition** - For real estate agents and brokers, Listing Trends can identify markets with high activity, indicating potential opportunities for customer acquisition. By targeting areas with a high number of listings or short days on the market, they can focus their efforts where they're most likely to find new clients. - **Pricing Analysis** - By analyzing trends in listing prices, businesses can gain insights into how property values are changing in different areas. This information can be invaluable when setting prices for new listings or advising clients on appropriate offers for existing listings. - **Demand Forecasting** - Listing Trends can help predict future demand in the real estate market. High activity levels or short average times on the market could indicate strong demand, while an increase in the supply of active listings might suggest a cooling market. - **Risk Analysis** - For lenders, understanding listing trends can help assess the risk associated with mortgage loans. For example, an area with a high number of listings and a long average time on the market might be riskier than an area where properties sell quickly. - **Data Quality and Cleansing** - By comparing Listing Trends data with their own data, businesses can identify and correct discrepancies. This ensures they're making decisions based on the most accurate and up-to-date information. **Product details** - Datasets represented include Listing Trends by ZIP Code, Listing Trends by County, Listing Trends by CBSA and Listing Trends by State. - Sample fields include Mean Active Days on Market, Active Number of Listings, Mean Listing Price, Mean Cumulative Days on Market, Mean De-Listed Days on Market, Months Supply of Active Listings, Market Velocity and Mean Sold List Price.
**概述** ListingTrends 可提供邮政编码（ZIP Code）层级及以上的时序住宅数据月度快照。 科乐吉（CoreLogic）ListingTrends 依托2007年至今覆盖范围广泛且深入的多重上市服务系统（Multiple Listing Service, MLS）数据，聚合得到关键住宅市场指标，涵盖按房源类型划分的房价领先指标、房源库存、挂牌时长及去化率，其中房源类型包括新上架、活跃在售、待签约、已签约及已售出房源。 **产品属性** - 物业评估 - 贷款审批与发放 - 风险与反欺诈管理 - 房地产市场预测 **应用场景** - **市场分析**——住宅数据分析ListingTrends可提供精细化维度下的房地产市场运行状况与趋势核心洞察。房地产从业者、投资者及金融机构可借助该数据把握市场走向，制定科学合理的战略决策。 - **客户拓展**——对于房地产经纪人和经纪公司而言，ListingTrends可识别活跃度较高的市场，挖掘潜在客户拓展机遇。通过瞄准挂牌量庞大或挂牌时长较短的区域，经纪人员可将精力集中在最有可能获取新客户的领域。 - **定价分析**——通过分析挂牌价格走势，相关企业可掌握不同区域的房产价值变化情况。该信息在为新上架房源定价，或为客户就现有房源的合理报价提供建议时，具备极高参考价值。 - **需求预测**——ListingTrends可助力预判房地产市场的未来需求。高市场活跃度或较短的平均挂牌时长往往预示着强劲的市场需求，而活跃挂牌房源供应量的上升则可能意味着市场趋于降温。 - **风险分析**——对于放贷机构而言，掌握挂牌市场趋势有助于评估抵押贷款相关风险。例如，挂牌量庞大且平均挂牌时长较长的区域，其市场风险往往高于房源去化速度较快的区域。 - **数据质量管控与清洗**——企业可通过将ListingTrends数据与自有数据进行比对，识别并修正数据偏差，确保决策基于最精准、最新的信息。 **产品详情** - 涵盖的数据集包括邮政编码分区级挂牌趋势、县级挂牌趋势、核心都会统计区（Core-Based Statistical Area, CBSA）级挂牌趋势以及州级挂牌趋势。 - 典型字段包括平均活跃挂牌时长、活跃挂牌房源数量、平均挂牌价格、平均累计挂牌时长、平均下架后留存时长、活跃房源供应月数、市场周转速度以及平均已售房源成交价。
