modood/administrative-divisions-of-china

中华人民共和国行政区划:省级(省份)、 地级(城市)、 县级(区县)、 乡级(乡镇街道)、 村级(村委会居委会) ,中国省市区镇村二级三级四级五级联动地址数据。

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Summary Information

Updated 55 minutes ago
Added to GitGenius on September 2nd, 2026
Created on October 8th, 2016
Open Issues & Pull Requests: 29 (+0)
GitHub issues: Enabled
Number of forks: 7,210
Total Stargazers: 20,959 (-1)
Total Subscribers: 398 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 17.6 days
Mean response time: 68.2 days
90th percentile: 87.8 days
Tracked items: 18

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Open issues: 29
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 1,027 days
Stale 30+ days: 29
Stale 90+ days: 29

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

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Detailed Description

Administrative-divisions-of-china is a hierarchical administrative geography dataset for China that organizes regional data across five administrative levels.

The dataset solves the problem of accessing structured, interconnected information about China's administrative divisions. It provides complete hierarchical data spanning provinces, cities, districts, townships, and villages, enabling developers to build location-aware applications that need accurate administrative boundaries and relationships. The data is organized to show the relationships between each level, allowing multi-level cascading address selection common in Chinese applications.

Developers building applications that require Chinese address input, regional filtering, or location-based services should consider this dataset. It suits projects serving the Chinese market that need reliable administrative geography data in a structured format. The repository provides the data in multiple formats including JSON and CSV, making it compatible with different technology stacks and use cases.

The project maintains a stable dataset with infrequent updates to the core administrative structure. Contributions focus on data accuracy and format improvements rather than frequent feature additions. The codebase remains relatively unchanged over time, reflecting the nature of administrative geography as a reference dataset that only requires updates when official administrative divisions change.