weneedhome/summaryofloansuspension

Analysis updated 2026-05-18

★ 20,440HTMLAudience · generalComplexity · 2/5Setup · easy

Mindmap

mindmap
  root((repo))
    What it does
      Aggregates suspension notices
      Maps stalled projects
      Tracks by province
    Data format
      Notice documents
      Structured lists
      Geographic coordinates
    Use cases
      Research housing crisis
      Track project status
      Find affected properties
    Features
      Interactive map
      Flat and tree data
      Automated verification

mindmap root((repo)) What it does Aggregates suspension notices Maps stalled projects Tracks by province Data format Notice documents Structured lists Geographic coordinates Use cases Research housing crisis Track project status Find affected properties Features Interactive map Flat and tree data Automated verification

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What do people build with it?

USE CASE 1

Research the 2022 Chinese housing crisis and mortgage payment boycotts by province.

USE CASE 2

Find stalled residential projects near a specific city using the interactive map.

USE CASE 3

Analyze structured data on affected properties to understand geographic distribution of construction delays.

What is it built with?

HTMLJSONGeoJSONCI/CD

How does it compare?

	weneedhome/summaryofloansuspension	you-dont-need/you-dont-need-javascript	fengdu78/deeplearning_ai_books
Stars	20,440	20,528	20,539
Language	HTML	HTML	HTML
Setup difficulty	easy	easy	easy
Complexity	2/5	1/5	2/5
Audience	general	developer	developer

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 5min

License could not be detected automatically. Check the repository's LICENSE file before use.

In plain English

This project is a community-maintained dataset documenting collective mortgage-suspension notices from homebuyers of unfinished or stalled residential developments across mainland China. The README is written in Chinese and labels the data as nonprofessional reference material rather than precise records, asks contributors to keep commentary on the data itself, and explicitly bans politically sensitive discussion in the repo and its discussions area. The notices are organised by province, city, and district. Each entry names the development, gives a numbered count of properties per city, and often links to a scanned image of the notice signed by the affected owners. The README itself contains the running list, totalling more than 351 entries, covering provinces such as Anhui, Beijing, Chongqing, Fujian, Gansu, Guangdong, Guangxi, Guizhou, and Hebei among others, with developers like Evergrande, Sunac, Country Garden, Kaisa, and others showing up repeatedly. Beyond the raw entries, the project ships structured data files in JSON: a flat version of property suspensions, a tree version grouped by province and city, and a city file with property counts and latitude and longitude for visualisation. National maps in light and dark variants are embedded in the README, and an in-browser interactive map is hosted on a separate domain at building.lulaolu.com. People come to this repository to read the consolidated list, see which developers and projects have been affected in a given area, or pull the structured JSON for their own analysis or mapping. The project documents contribution rules, a pull-request guide, a conflict-resolution guide, a validation script run via run-validate.sh, and continuous integration that automatically checks the accuracy of the statistics. The development folder also holds a Node.js backend and a frontend, plus a separate dotnet GitHub proxy. The README notes that the primary language reported by GitHub is HTML and that the original initiator of the project was banned.

Copy-paste prompts

Prompt 1

Show me how to query this loan suspension database to find all stalled projects in a specific Chinese province.

Prompt 2

How can I use the GeoJSON data from this repo to build my own map of suspended real estate projects?

Prompt 3

Extract and analyze the structured property data from this repository to identify patterns in which cities have the most stalled developments.

Prompt 4

Help me understand the data format and how to parse the province/city/district hierarchy in this crowdsourced notice collection.

Frequently asked questions

What is summaryofloansuspension?

Crowdsourced database of Chinese homebuyer loan suspension notices from stalled real estate projects, organized by province with original documents and interactive mapping.

What language is summaryofloansuspension written in?

Mainly HTML. The stack also includes HTML, JSON, GeoJSON.

What license does summaryofloansuspension use?

License could not be detected automatically. Check the repository's LICENSE file before use.

How hard is summaryofloansuspension to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is summaryofloansuspension for?

Mainly general.

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