About

What does this do?

This web application recommends where you should live and buy in London, based on your personal preferences. It uses answers to questions about your preferences, such as how important parks, schools, cycling routes or commute times are to you, and compares this with dozens of datasets about London to work out a personal score for each individual postcode in London. This may help you decide where to look for a house, or help you identify when a house comes onto the market that meets all your requirements (and how often you can expect this to happen!)

How does it work?

This app uses your preferences to work out a match score for every postcode in London. Every score is out of 100, and the components that make up the score depend on your preferences.

Let's look at an illustrative example. If you have a strong preference for parks, then parks might count for 30 out the 100 total points. Each postcode is ranked against other postcodes, and will score 30/30 for parks if it is in the top 3% of postcodes in terms of its access to parks. This includes not just walking distance, but also the number and size of the parks close to this location. Other factors, such as housing prices or low pollution, are given their own scores in a similar way, always relative to other postcodes. The total score for a postcode, out of 100, is then the total of all the individual scores.

It is possible for a postcode to score 100/100, but this is unusual. If this happens, it means it ranks in the top percentile for every factor considered. Usually, a score between 80 and 90 is the highest for a given set of preferences.

The score for housing is calculated differently from other preferences. If you indicate a maximum price, housing automatically counts for 50 points. If a region had average selling prices lower than your maximum, it always scores 50/50. The higher above your maximum price the average selling price was, the lower the score will be. The fact that housing counts for so much is to reflect the fact that, no matter how much you might like an area, you can't move there if you can't afford it.

Can I use this for X?

Absolutely! Any legal personal use is allowed. For a commercial license, please reach out.

Please note, however, that I bear no responsibility for the accuracy of the data, nor do I guarantee it to be fit for any specific purpose. I hope you find it useful, but know that you use it at your own risk.

Who made this?

Hi! 👋 I'm Herman, an indie hacker (a.k.a. independent software developer). In early 2019, I developed a tool similar to this one to help my family decide on an area to settle in London. Many of my friends also found it useful, and eventually I started work on putting it online for anyone to use. It took me about two years, hacking on and off in my free time alongside a family, a pandemic and full-time job.

I very much appreciate all your thoughts and feedback! Feel free to reach out to me at herman@bestborough.co.uk.

How does it use my data?

This site needs browser cookies to function. It uses one cookie to remember the preferences you select and display the results to you on subsequent pages if you are not a logged in user and one cookie to remember your login details if you are a logged in user. Stripe, used for processing payments, also stores some essential cookies. I do not use cookies for anything not needed for core functionality of this site. I do not use cookies to track your browsing habits. And I do not sell, nor intend ever to sell, any user data.

Licenses

Historical House Price Data

Contains HM Land Registry data © Crown copyright and database right 2021. This data is licensed under the Open Government Licence v3.0.

Map data

© OpenStreetMap contributors

Ordnance Survey data © Crown copyright and database right 2010-19.

Routing data

Powered by TFL Open Data.

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