uk land registry map

Search UK Land Registry Property Sales (experimental)

This web application has been built to search and visualise property sales in England and Wales.

It uses Next.js, MongoDB and publicly available HM Land Registry data licensed under the Open Government Licence v3.0.

Map data provided by © OpenSteetMap contributors

Other credits

• OpenLayers v6.9.0
• Tailwind CSS v2.2.19
• How to Use OpenLayers Maps in React by Matthew Brown

Importing CSV Data

Bulk importing of csv data requires using mongoimport tool with the following command (depending on shape of data in csv file used):

// Requires following headertypes in first row of the csv file: id.string(),propertyClassification.string(),saleDate.date(2006-01-02),saleValue.int32(),lon.double(),lat.double(),postcode.string(),line1.string(),line2.string(),city.string(),county.string()
mongoimport --uri "mongodb+srv://USER:[email protected]/DB_NAME?retryWrites=true&w=majority" --collection COLLECTION_NAME --type csv --file FILE_NAME --headerline --columnsHaveTypes

Run Next.js in development mode

npm install
npm run dev

# or

yarn install
yarn dev

Your app should be up and running on http://localhost:3000! If it doesn't work, post on GitHub discussions.

You will either see a message stating "You are connected to MongoDB" or "You are NOT connected to MongoDB". Ensure that you have provided the correct MONGODB_URI environment variable.

When you are successfully connected, you can refer to the MongoDB Node.js Driver docs for further instructions on how to query your database.

Deploy on Vercel

You can deploy this app to the cloud with Vercel (Documentation).

Deploy Your Local Project

To deploy your local project to Vercel, push it to GitHub/GitLab/Bitbucket and import to Vercel.

Important: When you import your project on Vercel, make sure to click on Environment Variables and set them to match your .env.local file.

Deploy from Our Template

Alternatively, you can deploy using our template by clicking on the Deploy button below.