袋鼠汇金融服务房地产类分析数据

（1）数据适用范围：浙江省杭州市
（2）数据内容：包含浙江省杭州市楼盘基础信息、单价、位置等信息；二手房小区基础信息、挂牌、成交、位置等基础信息
（3）数据应用场景：银行放贷前需要对抵押物（房产）进行价值评估，袋鼠汇金融服务房地产类分析数据更贴合市场实际价值；银行贷中复估，需要对放贷的抵押物进行定时复估，看抵押物价值是否有降低。①数据清洗：制定数据清洗规则，对数据集进行清洗，建立数据间关联关系。
②数据获取：通过外部数据采集、采购以及内部自有数据的沉淀获取袋鼠汇·房地产金融数据服务所需数据。采集数据来源于政府官方网站：如浙江省自然资源智慧交易服务平台、杭州市住保房管局二手房交易监管平台、透明售房网等权威官方网站。
③计算规则：
房产价值评估：针对成交量活跃的小区房源，通过输入小区名称、建筑类型、成交面积、房源所在幢号，查询在一定成交日期范围内交易状态为二手房的成交房源，并通过二手房价格指数还原到当期，最终输出房产估值=avg(成交单价*二手房价格指数)*成交面积；针对成交量不活跃的小区和区域制作网格地图，将城市分解成多个1km*1km的栅格，将所有小区通过经度、纬度落到对应网格中，分别输入交易状态为新房、建筑类型为非低层的成交单价，生成新房网格地图，并输入交易状态为二手房的成交单价，生成二手房网格地图，通过空间插值法填充成交不活跃或无成交量的网格，计算方式为sum(经度、纬度计算距离占比*成交单价)。同时，选取高低配小区定期通过输入建筑类型、成交单价计算低层价格系数，得到低层网格地图，相互补充得到房产估值。

(1) Data Application Scope: Hangzhou City, Zhejiang Province
(2) Data Content: Contains basic information of real estate properties in Hangzhou, Zhejiang Province, including unit price, location and other related details; basic information of second-hand residential communities, as well as their listing, transaction, location and other basic information
(3) Data Application Scenarios: This data is applicable for two core scenarios: first, value evaluation of real estate collateral prior to bank loan issuance, where Daishuhui · Real Estate Financial Data Service's analysis results are more aligned with actual market value; second, periodic in-loan revaluation of issued loan collaterals to assess whether their value has declined.
① Data Cleaning: Formulate data cleaning rules to clean the dataset and establish inter-data association relationships.
② Data Acquisition: Obtain the data required for Daishuhui · Real Estate Financial Data Service through external data collection, procurement and internal accumulated proprietary data. The collected data comes from official government websites, such as the Zhejiang Provincial Natural Resources Smart Transaction Service Platform, the Second-hand Housing Transaction Supervision Platform of Hangzhou Housing and Urban-rural Development Bureau, Transparent Housing Network and other authoritative official websites.
③ Calculation Rules:
Property Valuation: For housing units in residential communities with active transaction volume, query second-hand housing transaction records with second-hand housing transaction status within a specified date range by inputting the community name, building type, transaction area and building number of the target housing unit. Adjust the prices to the current period using the second-hand housing price index, and the final property valuation is calculated as: Valuation = Average(Transaction Unit Price * Second-hand Housing Price Index) * Transaction Area;
For residential communities and areas with inactive transaction volume, create a grid map by dividing the city into multiple 1km×1km grids. Map all residential communities to their corresponding grids based on their longitude and latitude coordinates. Generate new housing grid maps by inputting the transaction unit price of new housing with non-low-rise building types, and generate second-hand housing grid maps by inputting the transaction unit price of second-hand housing. Fill grids with inactive or zero transaction volume using spatial interpolation, with the calculation formula: Sum(Proportion of Distance Calculated via Longitude and Latitude * Transaction Unit Price). Additionally, regularly select residential communities with mixed building heights, calculate the low-rise price coefficient by inputting their building type and transaction unit price to generate a low-rise grid map, and combine the two grid maps to obtain the final property valuation.

搜集汇总

数据集介绍

特点

该数据集为袋鼠汇金融服务房地产类分析数据，包含500条浙江省杭州市的楼盘和二手房基础信息，每日更新。数据适用于银行放贷前的房产价值评估和贷中复估，通过算法规则进行房产估值计算，数据来源于政府官方网站和企业数据。