Browse data constituency and small area estimates for the prevalence of twenty conditions, including asthma, chronic obstructive pulmonary disease (COPD), dementia, depression, diabetes, high blood pressure, and epilepsy. These modelled estimates are based on our analysis of 2019/20 data from England’s GP practices published by NHS Digital. See the notes below the dashboard for information, sources, and data.
How to get started: In the ‘Constituency and local data’ section, use the two dropdown menus to select a constituency and a health condition. In the ‘National and regional maps’ section, choose a health condition to view variation in different parts of the country, or click the ‘Detailed regional maps’ and ‘Cartograms’ buttons to view different kinds of maps.
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Constituency and local data
Open a printable version
Download all data in Excel (4.7 MB)
If you would like to access this information in an alternative format please email papers@parliament.uk and we will review your request.
National and regional maps
Open a printable version
Download all data in Excel (4.7 MB)
If you would like to access this information in an alternative format please email papers@parliament.uk and we will review your request.
Notes and sources
These modelled estimates are based on GP practice level data published by NHS Digital in Quality and Outcomes Framework 2019/20. We have combined this with other NHS and population data to create estimates for small areas (LSOAs). These estimates are aggregated to MSOAs, constituencies and regions to produce the data shown above.
You can read more about the methodology on our GitHub project local-health-data-from-QOF, which also includes R code and underlying data. To access the output data for MSOAs, constituencies and regions, click the ‘download all data in Excel’ link below the dashboard on this page.
The data presented here is based on modelled estimates and not exact counts. Some differences between areas may reflect differences in the way that GP practices operate, measure. and record, rather than genuine differences in prevalence. As the data is for 2019/20, it may be affected by the beginning of the COVID-19 pandemic.