eduosi/district resource
中国省/自治区/直辖市、市/自治州、区/县/旗数据，包含名称、拼音、拼音首字母、行政代码、区号 observed · 2026-08-28
Health v2 · maintenance only
51/100
- Activity 63
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 4661
- days_rel: n/a
- days_push: 223
- n_releases_24m: 0
Adoption not part of the score
1082 stars · 394 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A dataset of Chinese administrative divisions (provinces, cities, districts/counties) with names, pinyin, pinyin initials, administrative codes, and area codes. Data is distributed as SQL and CSV files for import into relational or non-relational databases.
Use cases
- populate a cascading province/city/district selector in a web form
- look up Chinese administrative division codes and area codes
- search Chinese regions by pinyin or pinyin initials
- import China region data into MySQL or another database
- keep an app's region data up to date with administrative changes
When to choose
- you need structured Chinese province/city/county data with pinyin and codes
- you want ready-to-import SQL or CSV files
- you need data covering mainland China plus Hong Kong, Macau, and Taiwan
When to avoid
- you need global or non-China administrative divisions
- you need officially guaranteed accuracy for every code (some data is unofficial, e.g. Taiwan codes)
- you need a live API rather than static data files
Facets
dataset · maturity active
data-generation geospatial databases cross-platform china administrative-divisions pinyin csv sql mysql region-codes area-codes localization
1 source
- readme: https://github.com/eduosi/district · fetched 2026-08-28 · 78ce4f396aca
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| eduosi/district | main | 51 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem