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  The CnOpenData National Express Outlet Database systematically compiles outlet information from major express delivery enterprises across China, covering 36 express companies and 34 provinces (including Hong Kong, Macao, and Taiwan). The database meticulously records the fundamental attributes and service coverage of each outlet, with fields including:

  • Outlet Name
  • Network Name
  • Province(省份)
  • City(城市)
  • District/County(区县)
  • Address(地址)
  • Latitude and Longitude(经纬度)
  • Contact Number(电话)
  • Delivery Areas(派送区域)
  • Non-Delivery Areas(不派区域)

These elements collectively form a comprehensive data table. This dataset visually reflects the service network layout of China’s express delivery industry, providing critical reference value for understanding urban-rural logistics coverage patterns and regional commercial development.

Data Uniqueness:

  • Comprehensive Coverage with Multi-Period Cross-Sections: The database encompasses 36 major express enterprises across all 34 provinces (including Hong Kong, Macao, and Taiwan). Multiple temporal cross-sections enable analysis of the dynamic evolution and regional distribution shifts of express outlets.
  • Granular Spatial Information: Beyond provincial/municipal/district details, the database provides precise addresses and geocoordinates, facilitating integration with Geographic Information Systems (GIS) for spatial visualization, network optimization, and location analysis.
  • Explicit Service Boundaries: Clear demarcation of delivery and non-delivery areas supports research on market boundaries of express enterprises, urban-rural logistics disparities, and "last-mile" delivery challenges.

Data Application Value:

  • Logistics and Supply Chain Research: Enables academic and industrial analyses of regional express network layouts, competitive landscapes, and supply chain efficiency.
  • Regional Economics and Consumption Studies: Spatial distribution and service coverage of express outlets serve as key indicators for assessing regional commercial vitality and consumption potential.
  • Urban Planning and Public Services: Integrates with geospatial data to assist in logistics infrastructure planning, optimize last-mile delivery solutions, and enhance public convenience.
  • Corporate Strategy and Site Selection: Provides location decision-making support for e-commerce, retail, and warehousing enterprises by evaluating regional logistics accessibility and service radii.

  The CnOpenData National Express Outlet Database establishes a robust foundation for in-depth research on the network structure and regional heterogeneity of China’s express industry. Its multi-period, comprehensive, and granular characteristics render it valuable not only for academic inquiry but also for strategic decision-making by logistics firms, retailers, and governmental entities.


Data Scale

Statistical Overview by Province

Statistical Overview by Express Type


Time Intervals

July 2022 Cross-Section, June 2024 Cross-Section, August 2025 Cross-Section


Field Specification


Sample Data


Relevant Literature

  • Feng, Yongsheng and Zhang, Hao, 2021: "Network Effects, Demand Behavior, and Market Scale: An Empirical Study Based on the Postal and Express Industry," China Industrial Economics, No. 1.

Data Update Frequency

Annual updates