mumuy/data_location

中国行政区划代码【省、市、区县、乡镇街道】中国省市区镇三级四级联动行政区划数据(GB/T 2260)

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Summary Information

Updated 2 hours ago
Type:DatasetCategory(s):Geospatial & MapsScience & Industry
Added to GitGenius on September 21st, 2026
Created on August 24th, 2016
Open Issues & Pull Requests: 1 (+0)
GitHub issues: Enabled
Number of forks: 525
Total Stargazers: 3,190 (+0)
Total Subscribers: 116 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 10.2 days
Mean response time: 18.7 days
90th percentile: 24.4 days
Tracked items: 11

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Issue Activity (beta)

Open issues: 1
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 509 days
Stale 30+ days: 1
Stale 90+ days: 1

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

data_location is a dataset of Chinese administrative divisions that provides hierarchical region codes and names following the GB/T 2260 standard.

The tool solves the problem of obtaining accurate, structured data for China's administrative hierarchy spanning provinces, cities, districts, and townships. It organizes this information in a format that supports multi-level cascading selection, allowing developers to build region pickers and address forms that reflect China's actual administrative structure. The data is provided in JSON format, making it straightforward to integrate into web applications and other systems.

Developers building applications that require Chinese address selection, regional filtering, or administrative boundary data should consider this dataset. It suits projects serving Chinese users where accurate administrative divisions matter, such as e-commerce platforms, logistics systems, logistics tracking, or location-based services. The project provides the raw data needed to implement cascading dropdowns or similar UI patterns where selecting a province automatically filters available cities, and selecting a city filters available districts.

The project maintains a stable dataset with infrequent updates, reflecting the relatively static nature of administrative boundaries. The codebase is minimal and focused, consisting primarily of the data files themselves rather than complex logic or algorithms. Documentation is provided in Chinese, targeting developers familiar with that language. The project includes a live demonstration website showing how the data can be used in practice.