A residential community (小区), referring to a large residential area with relatively independent living environments within urban regions, is typically equipped with comprehensive life service facilities such as commercial outlets and schools (kindergartens). Urban residential communities (neighbourhoods), commonly abbreviated as "小区" in Chinese, denote residential zones dominated by housing and supplemented with corresponding public facilities and non-residential buildings. These communities are characterized by diverse housing forms, unified planning, multifunctional services, diversified property rights, and modern social attributes.
Cities in China are classified into first-tier, new first-tier, second-tier, and third- to fifth-tier cities based on various criteria, including housing prices, urban development levels, living standards and per capita income, regional influence, talent attraction capabilities, and international recognition.
CnOpenData has launched nationwide residential community data, categorizing cities according to standardized criteria:
- First-tier cities: Beijing, Shanghai, Guangzhou, Shenzhen
- New first-tier cities: Chengdu, Tianjin, Qingdao, Dongguan, Foshan, Nanjing, Suzhou, Zhengzhou, Ningbo, Hangzhou, Wuhan, Changsha, Shenyang, Chongqing, Xi'an
- Second-tier cities: Kunming, Hefei, Linyi, Jinan, Weifang, Yantai, Taiyuan, Huizhou, Zhuhai, Nanning, Nantong, Changzhou, Wuxi, Nanchang, Shijiazhuang, Taizhou, Wenzhou, Shaoxing, Jinhua, Lanzhou, Xiamen, Quanzhou, Fuzhou, Guiyang, Dalian, Harbin
- Third- to fifth-tier cities: Hohhot, Jilin, Mianyang, Yinchuan, Anqing, Wuhu, Ma'anshan, Weihai, Zibo, Jiangmen, Zhanjiang, Liuzhou, Guilin, Huaian, Yancheng, Zhenjiang, Shangrao, Jiujiang, Ganzhou, Baoding, Tangshan, Langfang, Xinxiang, Luoyang, Huzhou, Haikou, Xiangyang, Yueyang, Zhuzhou, Zhangzhou, Xianyang, Yibin, Dazhou, Beihai, Ji'an, Zhangjiakou, Kaifeng, Xuchang, Huangshi, Changde, Dandong, Fushun, Baoji, Chifeng, Liangshan, Hanzhong
CnOpenData's Chinese Residential Community Data comprehensively covers housing distribution information across 28 provincial-level administrative regions, municipalities, and 102 key cities. Further categorized into four city-tier-specific datasets, this data demonstrates strong research representativeness, targeted applicability, and hierarchical clarity. It provides high-quality big data samples for studying housing vacancy rates, evaluating real estate regulation policies, and forecasting housing price trends. Additionally, it enables exploration of urban development patterns, China's urbanization process, and macroeconomic growth from a housing perspective.
Data Scale
Time Coverage
As of November 2024
Field Description
Sample Data
First-tier Cities Residential Community Information Table
Relevant Literature
- Meng, L., Yu, H., & Chen, Q. (2024). Pollution Information Disclosure and Public Response: Evidence from the Real Estate Market. China Economic Quarterly, 1.
Data Update Frequency
Annual updates