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热门搜索词:专利数据招投标二手房交易数据专利引用数据世界版上市公司专利上市公司招聘股吧文本数据工商统计数据法拍房新闻报纸数据
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China second-hand housing transaction dataNEW

China second-hand housing transaction information table
Second-hand housing transaction information table in first-tier cities
Second-hand housing transaction information table in new first-tier cities
Second-tier city second-hand housing transaction information table
Second-hand housing transaction information table in third-, fourth- and fifth-tier cities
China second-hand house listing information table
Second-hand housing listing information table in first-tier cities
Second-hand housing listing information table in new first-tier cities
Second-tier city second-hand housing listing information table
Second-hand housing listing information table in third-, fourth- and fifth-tier cities

China community information dataNEW

First-tier city community information table
New first-tier city community information table
Second-tier city community information table
Community information table in third, fourth and fifth tier cities

    Introduction to China's Second-hand Housing Transaction Data

  Second-hand houses refer to properties that have been registered at real estate transaction centers, completed initial registration and general registration, and are re-listed for transaction. Compared to newly-built commercial properties held by developers, they represent transactions in the tertiary market of real estate property rights. This category includes commercial housing, privatized public housing (fanggaifang) permitted for secondary market transactions, hardship-alleviation housing, demolition-relocation housing, self-built housing, economically affordable housing, and price-restricted housing.

  Cities are classified into tier-1, new tier-1, tier-2, and tier-3-5 cities based on various criteria. Common classification standards include housing prices, urban development levels, living standards and per capita income, radiation-driven capabilities, talent attraction, and international recognition.

  CnOpenData presents nationwide second-hand housing data, comprehensively covering distribution information across 28 provincial-level administrative regions, municipalities, and over 90 key cities. The data is categorized into transaction records and listing information based on transaction status. Furthermore, both transaction and listing data are subdivided into four tables according to city tiers, offering targeted and stratified insights with strong research representativeness. This dataset provides high-quality big data samples for studying China's housing vacancy rates, evaluating real estate regulation policies, and forecasting future housing price trends. It also enables exploration of urban development patterns, China's urbanization process, and macroeconomic growth from a housing perspective.


Articles Citing This Dataset

  • Feng, P., Zhou, Z., Cohen, J. P., & Yasar, M. (2024). Air Pollution and the Effects on House Prices: A Push for Sustainability. Journal of Real Estate Research,1–24.

Time Range

China Second-hand Housing Transaction Records: Updated through November 2024 (refreshable as needed)
China Second-hand Housing Listing Information: Updated through November 2023


Field Display


Sample Data

Given the multiple tables in this dataset, only tier-1 city tables are displayed here. For detailed data, please navigate through the left sidebar.

Tier-1 Cities Second-hand Housing Transaction Records

Tier-1 Cities Second-hand Housing Listing Information


Relevant Literature

  • Li Songlin & Liu Xiuyan, 2022: "Policy Effect Evaluation of Urban Renewal: The Case of Shenzhen," The World Economy No.9.
  • Li Shangchen, Zhang Yingguang, Hu Jiayin & Zhang Zheng, 2024: "Housing Price Extrapolation Expectations and Long-term Rental Demand—Empirical Analysis Based on Housing Lease Contract Data," Journal of Financial Research No.1.
  • Shi Shaobin & Ju Zhenyuan, 2023: "The Housing Price Effect of 'Replacing Old Industries with New Ones': Evidence from Relocation of Old Industrial Areas," Journal of Quantitative & Technological Economics No.6.

Data Update Frequency

Annual updates