This dashboard has statistics on Universal Credit by constituency in Great Britain, including the Library's estimate of how far caseload rollout has progressed.
Browse data constituency estimates for the prevalence of 20 health conditions, including diabetes, depression, asthma, high blood pressure, chronic obstructive pulmonary disease (COPD), dementia, and epilepsy. These estimates are based on analysis of 2022/23 data from England’s GP practices published by NHS Digital.
How to get started: use the two green dropdown menus below to select a constituency and a health condition.
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Constituency and local data
If you would like to access this information in an alternative format please email firstname.lastname@example.org and we will review your request.
Notes and sources
These modelled estimates are based on data published by NHS Digital in Quality and Outcomes Framework 2022/23. This publication includes data for each GP practice in England about the prevalence of 21 health conditions among their registered patients.
Our analysis joins QOF practice-level prevalence data with further NHS Digital data on patient residence – specifically, on the small areas (LSOAs) where patients registered to each practice live. 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.
This data is only available for England. Equivalent data for GP practice populations isn’t available for Wales, Scotland or Northern Ireland.
The data presented here is based on modelled estimates and not exact counts.
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