遇见数据集

BatchData | US Tax Assessor Data | Nationwide Property Characteristics | 155M+ Records | PropTech

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Databricks2026-02-19 收录
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BatchData provides the industry's most reliable US Tax Assessor and Property Characteristics Data, covering over 3,100 counties nationwide. This dataset offers deep granularity into physical and fiscal property attributes, designed for high-volume PropTech, Insurance, and Real Estate analytics. Visit www.batchdata.io to access ground-truth data on residential and commercial properties. Schemas, Tables, and Columns This listing contains a normalized schema for property assessment and physical details. Key columns include: Building Characteristics: building.yearBuilt, building.livingAreaSquareFeet, building.bedrooms, building.bathrooms, building.stories, building.foundation, building.roofCover, building.hvacType. Tax & Assessment: assessment.totalAssessedValue, assessment.landMarketValue, assessment.improvementValue, assessment.taxYear, tax.taxAmount. Lot & Zoning: lot.lotSizeAcres, lot.zoningCode, lot.landUseCode, lot.topography, lot.siteInfluence. Location: address.fipsCode, address.apn (Parcel ID), address.censusTract, address.carrierRoute. Use Cases Automated Valuation Models (AVMs): Enhance price estimation algorithms with precise square footage, condition, and quality codes. Insurance Risk: Underwrite policies accurately using roof type, foundation details, and year-built data. Investment Analysis: Identify undervalued assets by comparing tax assessments against market listings. Sources Data is sourced directly from County Assessor offices, Tax Collectors, and supplementary GIS repositories nationwide, updated daily.

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BatchData
搜集汇总
数据集介绍
BatchData | US Tax Assessor Data | Nationwide Property Characteristics | 155M+ Records | PropTech 数据集图片
背景与挑战
背景概述
该数据集涵盖全美3,100多个县,包含超过1.55亿条房产记录,提供建筑特征、税务评估、地块和位置等详细属性,数据来源于县评估办公室及税务部门并每日更新,广泛应用于自动估值模型、保险承保和投资分析等场景。
以上内容由遇见数据集搜集并总结生成
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