Deaths registered in 2019 in England and Wales due to dementia and Alzheimer's disease, by sex, age group, ethnicity, region and place of occurrence. Includes analysis of comorbidities.

This statistic shows the projected number of individuals with dementia in the United Kingdom (UK) in 2014, 2025 and 2051. The number of individuals with dementia is projected to grow by *** percent over the next 38 years from 2014, with an estimated * million individuals being diagnosed from dementia in 2051.

In the United Kingdom, over *** thousand people aged 90 years and above were living with dementia in 2018, this number was forecast to rise to *** thousand by 2050. Dementia is a symptom of Alzheimer's disease, a progressive neurological disorder generally associated with aging. This explains the rise in the number of people living with dementia as age advances.

NHS England collect and publish data about people with dementia at each GP practice in England, to enable NHS GPs and commissioners to make informed choices about how to plan their dementia services around patients’ needs. The publication includes the rate of dementia diagnosis. As not everyone with dementia has a formal diagnosis, this statistic compares the number of people thought to have dementia with the number of people diagnosed with dementia, aged 65 and over. Where current monthly data for a GP practice is unavailable, the most recent data available are used (up to a maximum of 6 months). Prior to October 2022, dementia data were collected via the dementia data core contract service and published as the "Recorded Dementia Diagnoses" series. The data in these two publication series are not comparable. This is due to the retrospective application of codes to patient records and changes in patient registration, as well as differences in coverage and the specification of several the counts. Refer to the ‘Related Links’ for the supporting information page where details on these changes can be found.

This statistic shows the population prevalence of late-onset dementia in the United Kingdom (UK) in 2014. It is estimated that ** percent of women and **** percent of men aged between 90 and 94 years old have late-onset dementia in the UK.

People with dementia require substantial amounts of care, particularly social care. Their numbers are predictable from simple calculations applied to population projections . This indicator provides projected numbers of dementia sufferers Source: Mental Health Observatory: North East Public Health Observatory (NEPHO) Publisher: Mental Health Observatory: North East Public Health Observatory Geographies: Local Authority District (LAD), County/Unitary Authority, Government Office Region (GOR), National, Primary Care Trust (PCT) Geographic coverage: England Time coverage: 2008-2025 Type of data: Modelled data Notes: Population data are from the Office for National Statistics Subnational population projections for England (2007).

Total population aged 65 and over predicted to have dementia

The recorded prevalence of dementia, by ethnicity at Clinical Commissioning Group (CCG) level. These data are published in support of the Dementia Strategy and the Dementia Challenge

This statistic shows the prevalence of dementia in care settings in the United Kingdom (UK) in 2014. It is estimated that ** percent of residents in nursing homes have a form of dementia.

Indicators from the Office for National Statistics’ Opinions and Lifestyle Survey to understand the public's perception of their knowledge of dementia and what individuals believe can be done to reduce risk.

Provider level information on the number and proportion of patients aged 75 and over admitted as an emergency for more than 72 hours who have been identified as potentially having dementia, who are appropriately assessed and where appropriate referred on to specialist services. Source agency: NHS England Designation: Official Statistics not designated as National Statistics Language: English Alternative title: Dementia CQUIN indicator

The SAIL DeC is a population-based electronic cohort (e-cohort) containing health-related information on people with and without diagnosed dementia in Wales, United Kingdom. The participants are linked through a range of healthcare, education, and juridical databases, as well as the census. It is estimated that the sample population covers between 70 and 80% of the Welsh population.

This public health intelligence profile describes the trends and patterns in the prevalence of dementia in Camden. It is one of a series of profiles on Mental Health.

Objective: To help determine whether mid-life obesity is a cause of dementia, and whether low BMI, low caloric intake and physical inactivity are causes or merely consequences of the gradual onset of dementia, we recorded these factors early in a large 20-year prospective study and related them to dementia detection rates separately during follow-up periods 0-4, 5-9, 10-14 and 15+ years.

Methods: 1,136,846 UK women, mean age 56 (SD=5) years, were recruited in 1996-2001 and asked about height, weight, caloric intake and inactivity. They were followed until 2017 by electronic linkage to National Health Service records, detecting hospital admissions with mention of dementia. Cox regression yielded adjusted rate ratios (RRs) for first dementia detection during particular follow-up periods.

Results: 15 years after the baseline survey only 1% were lost to follow-up and 89% remained alive with no detected dementia, of whom 18,695 had dementia detected later, at mean age 77 (SD=4) years. Dementia detection during years 15+ was associated with baseline obesity (BMI 30+ versus 20-24 kg/m2: RR=1.21, 95% CI 1.16-1.26; p<0.0001), but not clearly with low BMI, low caloric intake or inactivity at baseline. The latter three factors were associated with dementia rates during the first decade, but these associations weakened substantially over time, approaching null after 15 years.

Conclusions: Mid-life obesity may well be a cause of dementia. In contrast, behavioural changes due to preclinical disease could largely or wholly account for associations of low BMI, low caloric intake and inactivity with dementia detection during the first decade.