# adyliu/china_area

2024年中国全国5级行政区划（省、市、县、镇、村）

Repository: https://github.com/adyliu/china_area
Canonical: https://ross.abutalabs.com/products/china_area
License: GPL-3.0
License Family: copyleft
Topics: china, china-city, china-location, zone
Last push: 2023-12-23T04:51:29+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3274, "days_push": 984, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2504, forks 636 (observed 2026-08-28T04:06:57.086849+00:00)

## What it is
A dataset of China's five-level administrative divisions (province, city, county, town, village) for 2024, sourced from the National Bureau of Statistics. It is distributed as CSV and SQL dumps covering over 665,000 records with urban/rural classification codes.

## Use cases
- populate a database with china province city district codes
- cascading address selector data for china
- china administrative division codes csv download
- lookup village and township codes in china
- urban vs rural classification for chinese regions

## When to choose
- you need complete, up-to-date China administrative division data down to village level
- you want ready-to-import SQL or CSV formats
- you need urban/rural classification codes

## When to avoid
- you need historical boundaries or geographic polygon shapes rather than codes
- you need non-China location data
- you need a maintained library/API rather than raw data

## Facets
- artifact type: dataset
- maturity: active
- function: data-generation, geospatial
- domain: data-science
- platform: cross-platform
- tags: china, administrative-divisions, csv, sql, census-data, area-codes, maps

## Member repositories
- adyliu/china_area (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:57.086849+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:26:44.721126+00:00, confidence not recorded.
  - readme: https://github.com/adyliu/china_area (fetched 2026-08-28T04:06:57.086849+00:00, sha da052084605e)
- Data as of 2026-08-30T08:39:29.467469+00:00.