贵阳市各区域二手房类型转移登记结构分析数据集

1、数据采集：从不动产登记系统中，依法合规采集贵阳市各区县二手房成交数据（以2025年4月-2025年9月的数据为例）。原始数据包括每笔交易的行政区划（区域）、房产类别（住宅/商业/办公/公寓）、成交套数、成交面积等字段。采集周期为月度，确保数据时效性与代表性。
2、数据处理：1）以“区域”为分组维度，对全市各行政区划（如高新区、白云区、南明区等）进行分类汇总；2）按“类别”（住宅、商业、办公、公寓）进行交叉统计，计算每个区域中各类房产的累计成交套数与累计成交面积；3）识别“主导类别”——即在该区域中成交面积占比最高的房产类型；4）生成结构化、标准化的“二手房类型成交结构分析数据集”，包含“区域”“类别区域”“类别”“成交套数”“成交面积”等关键指标。
3、数据应用：输出高质量的区域房产结构分析报告，用于发布《贵阳市二手房市场结构月报》、支持城市更新项目选址、辅助开发商判断产品类型布局、指导购房者了解区域功能定位、为金融信贷机构提供抵押物类型评估依据及服务政府开展房地产市场运行监测与预警。

1. Data Collection: Legally and compliantly collect second-hand housing transaction data of each district and county in Guiyang from the Real Estate Registration System, taking the data from April 2025 to September 2025 as an example. The raw data includes fields such as administrative division (district), property category (residential/commercial/office/apartment), number of transaction units, transaction area, etc. The collection cycle is monthly to ensure data timeliness and representativeness.
2. Data Processing: 1) Carry out classified aggregation for all administrative divisions of the city (e.g., High-tech Zone, Baiyun District, Nanming District) with "district" as the grouping dimension; 2) Conduct cross-statistics based on "property category" (residential, commercial, office, apartment), and calculate the cumulative transaction units and cumulative transaction area of various property types in each district; 3) Identify the "dominant category", namely the property type with the highest transaction area proportion in the corresponding district; 4) Generate a structured and standardized *Second-hand Housing Type Transaction Structure Analysis Dataset*, which contains key indicators including "district", "category-region", "category", "number of transaction units", "transaction area", etc.
3. Data Application: Generate high-quality regional real estate structure analysis reports, which are used for releasing the *Monthly Report on Second-hand Housing Market Structure of Guiyang*, supporting site selection of urban renewal projects, assisting developers in determining product type layout, guiding homebuyers to understand regional functional positioning, providing evaluation basis for financial credit institutions to assess collateral types, and serving the government in carrying out real estate market operation monitoring and early warning.

搜集汇总

背景与挑战

背景概述

该数据集由贵阳市不动产登记中心创建，用于分析贵阳市各区县二手房市场中住宅、商业、办公、公寓四大类房产的成交分布结构。数据集基于2025年4月至9月的不动产登记数据，按月更新，规模为20KB，支持房地产市场研判、政策调控和投资决策等应用场景。