Ross ROSS = Recommend OSS · open-source software intelligence for agents

airyland/china-area-data resource

中国省市区数据 observed · 2026-08-28

github.com/airyland/china-area-data · JavaScript · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3778
  • days_rel: n/a
  • days_push: 1361
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1926 stars · 789 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A JavaScript npm package providing China's administrative division data (provinces, cities, districts/counties) sourced from the National Bureau of Statistics. It ships as JSON files in object and array formats for use in address pickers and forms.

Use cases

  • populate a province/city/district cascading picker in a web form
  • get China administrative region codes and names as JSON
  • build an address selector for a Chinese e-commerce checkout
  • look up which districts belong to a given Chinese city
  • add Taiwan and municipality data to a region dropdown

When to choose

  • you need offline China province/city/district data in a JS project
  • you want a simple JSON dataset rather than an API dependency
  • you need the latest National Bureau of Statistics codes (2019)

When to avoid

  • you need real-time or frequently updated administrative data
  • you need street-level or township-level divisions
  • you need data for countries other than China

Facets

dataset · maturity maintenance

data-generation developer-tools web-development files cross-platform china administrative-divisions province-city-district npm-package address-data nodejs javascript

1 source

Member repositories

RepositoryRoleHealth v2
airyland/china-area-datamain32

For agents

markdown · JSON · MCP: product_card(name="airyland/china-area-data")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem