[OC] UK house prices and Find my Area Tool - match scores shown on a 1km>25km grid (using sold prices, 2020 to 2025) Visualization

What This Visualization Shows

This data visualization displays "[OC] UK house prices and Find my Area Tool - match scores shown on a 1km>25km grid (using sold prices, 2020 to 2025)" and provides a clear visual representation of the underlying data patterns and trends. The visualization focuses on Link - [propertypricemap.co.uk](http://propertypricemap.co.uk)

I built an interactive UK housing data map. It shows **median sold prices** on a fixed size grid (1 km, 5 km, 10 km, 25 km) so patterns are comparable across the country.

The main feature is **Find My Area**. You set priorities like budget, flood safety, schools, crime, station distance, and local age profile, and it scores **every 1 km square** from **0 to 100%** so you can shortlist areas fast, especially if you do not know where to start or you are relocating.

You can also switch between metrics (median, change over time, £ per ft² in England), toggle overlays (flood, schools, crime, community age, stations), and right click anywhere to snap to the nearest postcode and get a local breakdown.

* What’s your overall impression of this, useful, confusing, somewhere in between? * Does the “Find My Area” idea make sense straight away, or does it need better framing? * If you could change one thing to make it feel more intuitive, what would it be? * What would you add or remove to make it feel more like a product you would actually use?

This is not a Zoopla or Rightmove replacement. It is a reverse search tool that helps you figure out where you might want to live first, then you can dive into the actual property listings.

Data sources

* Sold prices (England and Wales), HM Land Registry Price Paid Data * Sold prices (Scotland), Registers of Scotland (coverage can lag and may be partial) * Floor area for £ per ft², EPC data (England only) * Flood risk, Environment Agency (England only) * Schools, Ofsted inspection data (England only) * Crime, [data.police.uk](http://data.police.uk), aggregated to LSOA (England and Wales) * Community age, Census 2021 (UK wide) * Train stations, National Rail station location data (Great Britain)

Tools used

* Python for data processing (pandas, geopandas, pyproj) * MapLibre GL JS for the interactive map * Cloudflare R2 for storage and Cloudflare Pages for hosting, which allows us to understand complex relationships and insights within the data through visual storytelling.

Deep Dive into the Topic

This data visualization represents a sophisticated analysis of complex information patterns that provide valuable insights into underlying trends and relationships. Data visualization serves as a bridge between raw numerical data and human understanding, transforming abstract statistics into comprehensible visual narratives.

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Data Analysis and Insights

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Significance and Applications

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