uiwjs/province-city-china

🇨🇳 Complete and updated China administrative divisions (province, city, county, town) in JSON, CSV, and SQL formats 🇨🇳最全最新中国【省、市、区县、乡镇街道】json,csv,sql数据

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Summary Information

Updated 2 hours ago
Type:DatasetCategory(s):Geospatial & MapsScience & Industry
Added to GitGenius on September 22nd, 2026
Created on March 16th, 2017
Open Issues & Pull Requests: 21 (+0)
GitHub issues: Enabled
Number of forks: 578
Total Stargazers: 3,042 (+0)
Total Subscribers: 29 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 5.2 hours
Mean response time: 7.1 days
90th percentile: 20.9 days
Tracked items: 3

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Issue Activity (beta)

Open issues: 4
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 939 days
Stale 30+ days: 4
Stale 90+ days: 3

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

Province-city-china is a geographic data repository that provides complete and updated China administrative divisions in JSON, CSV, and SQL formats.

The tool solves the problem of obtaining accurate, comprehensive data for China's administrative hierarchy spanning provinces, cities, counties, and towns. It addresses the need for a single source of truth for this geographic information by consolidating administrative division data into multiple formats suitable for different use cases and integration patterns.

Developers building applications that require Chinese address selection, location validation, or geographic data storage should consider this tool. It suits projects ranging from e-commerce platforms needing address input forms to geographic information systems requiring structured administrative boundaries. The repository provides data in formats that work across different technology stacks, making it accessible whether you need to embed JSON in a frontend application, load CSV into a spreadsheet, or populate a database with SQL scripts.

The project maintains regular updates to reflect administrative changes in China's divisions. Development activity shows consistent engagement with the codebase through ongoing refinements and data accuracy improvements. The maintainer actively responds to issues and incorporates feedback from users who rely on the data for production applications.