How does population health vary in different parts of England? Here you can browse constituency and neighbourhood estimates for the prevalence of seven conditions: asthma, chronic obstructive pulmonary disease, dementia, depression, diabetes, high blood pressure, and obesity.
These estimates are based on our analysis of 2017/18 data from England’s GP practices published by NHS Digital. See the notes below the dashboard for full information and sources.
How to get started: Use the dropdown menu below to select a constituency and a health condition. You can also switch to a ‘national & regional overview’, showing how the chosen health condition varies across England. Hovering over data tables will show charts comparing the area to the national average.
Each year NHS Digital publishes data from GP practices in England which includes the number of people recorded as having a range of health conditions. This is collected as part of the Quality & Outcomes Framework which requires GPs to maintain registers of patients on a range of different indicators. Data is published for around 20 conditions – we have selected seven conditions for this dashboard including well-known conditions, conditions showing different geographical patterns, and conditions affecting a large proportion of the population.
NHS Digital also publishes figures on GP practice ‘footprints’ – i.e. the small areas (LSOAs) in which the patients of each GP practice live. By combining this data with practice-level data on prevalence, it’s possible to estimate variation of health conditions in between neighbourhoods.
For each LSOA, we have calculated estimates of disease prevalence based on the GP practices that residents of the area attend. Some areas will be served only by a single GP practice, while for others data represents a combination of several GP practices based on the distribution of the population attending those practices. These small-area estimates are then aggregated to MSOAs (‘Middle-Layer Super Output Areas’ – described as ‘neighbourhoods’ above) and constituencies on a ‘best-fit’ basis.
The neighbourhood/MSOA names used in these tables can be viewed on a map here, where you can make suggestions for alternatives.
Things to be aware of
- These figures are only estimates and some divergence between separate areas served by an individual GP practices is bound to be lost.
- In attributing GP practice-level data to different areas, weighting adjustments have been made in respect of the relevant age category (e.g. diabetes prevalence is measured for age 17+ only), based on the varying age profiles of different small areas.
- For some conditions, the proportion of people on GP registers is less than the proportion of the people living with the disease. For example: only 67.5% of cases of dementia are estimated to have been diagnosed, and 29% of adults are obese compared with 10% identified on GP registers. The prevalence estimates here represent only those cases diagnosed by a GP.
- These estimates are sensitive to the quality and consistency of data reporting by GPs. People who are not registered at GP practices are not included in the estimates – either in the numerator or the denominator.
- Some GP practices did not submit data in 2017/18. In these areas, data for 2016/17 was used.
- Comparable figures can’t be calculated on the same basis for Scotland, Wales or Northern Ireland.
We developed this dashboard in 2018 using the most recent data available at the time. This dashboard won’t be routinely updated, so individual components may not reflect the latest data.
- NHS Digital, Quality and Outcomes Framework 2017/18
- NHS Digital, Patients Registered at a GP Practice April 2018
- ONS Geography Open Data