Second-hand houses refer to properties that have been registered with real estate transaction centers, completed initial registration and general registration, and are relisted for transaction. Compared to newly built commercial properties held by developers, they represent properties traded in the tertiary market of real estate property rights transactions. This category includes commercial housing, second-hand public housing eligible for market transactions (fanggaifang, or reformed public housing), poverty-alleviation housing, demolition-relocation housing, self-built housing, economically affordable housing (jingjishiyongfang), and price-capped housing (xianjiafang).
Cities in China are classified into tier-1, new tier-1, tier-2, and tier-3/4/5 cities based on various criteria. Common classification standards encompass housing prices, urban development levels, living standards and per capita income, radiating influence, 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 property transaction status. Furthermore, both transaction and listing datasets are subdivided into four distinct tables according to city tiers, ensuring targeted relevance and clear hierarchy, which enhances their representativeness for research. This dataset provides high-quality big data samples for studying China's housing vacancy rate, evaluating the effectiveness of 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
Time Coverage
China Second-Hand Housing Transaction Records: As of November 2024
China Second-Hand Housing Listing Information: As of November 2023
Field Display
Sample Data
Given the multiple tables in this dataset, only tier-1 city tables are displayed here. Please navigate to the left sidebar for detailed data.
Tier-1 City Second-Hand Housing Transaction Records
Tier-1 City Second-Hand Housing Listing Information
Relevant Literature
- Li Songlin & Liu Xiuyan, 2022: "Policy Effect Evaluation of Urban Renewal: A Case Study of Shenzhen," World Economy (Shijie Jingji), Issue 9.
- Li Shangchen, Zhang Yingguang, Hu Jiayin & Zhang Zheng, 2024: "Extrapolative Expectations in Housing Prices and Long-Term Rental Demand—An Empirical Analysis Based on Housing Lease Contract Data," Journal of Financial Research (Jinrong Yanjiu), Issue 1.
- Shi Shaobin & Ju Zhenyuan, 2023: "Housing Price Effects of 'Replacing Old Growth Drivers with New Ones': Evidence from Relocation and Renovation of Old Industrial Zones," Journal of Quantitative & Technological Economics (Shuliang Jingji Jishu Jingji Yanjiu), Issue 6.
Data Update Frequency
Annual updates