London Mental Health

Interactive Data Visualisation asset drives average dwell time of over six minutes
The client
ROAST’s technology & innovation incubator.
Data Science & Analytics


ROAST’s Data and Analytics team were challenged to make a bespoke asset that would form the centrepiece of TIPi Group’s Wellness Week Campaign. Working pro-bono and off a loose brief, we had to use all our creativity and expertise to analyse vast publicly available data-sets and visualise them in a way that was clear, concise and interactive.



The first step we made was to narrow our parameters from the holistic subject of “Wellness”, and focus in specifically on Mental Health, a topic that has been steadily growing in relevance over the past five years. We knew there would be a spike in interest on the 10th of October (World Mental Health Day), so we aimed to release our project on that day to get it in front of as many people as possible.

We then researched the subject, identified a check-list of urban factors that affect Mental Health and cross-checked these against publicly available datasets in order to isolate the most relevant data, settling on Anxiety, Happiness, Life Satisfaction, Population Density, Access to Open Space and Sports Participation.

The next step was to split the city into its thirty-three boroughs and collate the data by listing all the borough names and importing the selected data from our sources. The data was then melded with a London borough shape file in Google Maps, and we created multiple files from this that contained a heat map for each category. We imported these into our big map code and the London Mental Health Map was born.

The result is a slick, interactive map which allows users to explore London’s Mental Health, easily comparing each metric borough-by-borough. As well as being an interesting infographic, the map is useful for anyone planning on moving to a different part of the city.

For more information on data sources and methods, see our accompanying blog here.

Let's talk
Find out more about Data Science & Analytics