This statistic shows the distribution of elderly population (aged 65 and over) as a share of population in the United Kingdom (UK) from 1976 to 2046. Over this 70 year period the share of elderly people within the population of the UK is expected to increase by over ** percent, reaching **** percent of the forecast total population of 2046.

This graph shows the resident population projection of elderly people in the United Kingdom from 2020 to 2050, by age group. There is expected to be an overall growth in the number of elderly people. It is expected that all age groups over the age of 60 are expected to increase in number; most substantially, those aged over 80 years.

Managing funding pressures in the face of high demand from a growing and ageing population, increasingly complex care needs, reduced central government funding to local authorities and rising care costs has been a challenge for Social Services for the Elderly and People with Disabilities. Nonetheless, revenue is expected to grow at a compound annual rate of 2.9% to £8.9 billion over the five years through 2024-25. The UK population is getting older –19% is now aged 65 and over, claims Age UK, with this figure set to shoot up to 22% within the next 10 years. At the same time, the number of people living with disabilities has crept upwards. These factors combine to boost the need for social care services. In spite of this, revenue growth was held back by cuts in local authority expenditure through 2019-20 – driven by austerity – and a shortage of qualified staff. Revenue dropped in 2020-21; after COVID-19 hit, social distancing restrictions limited service provision between March 2020 and July 2021. Revenue began to bounce back once restrictions were lifted and benefitted from a 4.4% rise in the Better Care Fund and a £636 million rise in the government's Social Care Grant in 2022-23. Revenue is anticipated to grow by 3.7% in 2024-25, helped by the DHSC making £4.7 billion available in 2024-25 to support adult scoial care. In the coming years, the industry will remain in high demand as the population ages. The government has committed to addressing challenges in adult social care to help meet growing demand but after scrapping the delayed adult social care reforms, the new Labour government's plans aren't finalised. Over the five years through 2029-30, revenue is forecast to swell at a compound annual rate of 3.1% to £10.4 billion.

Population of the very elderly (including centenarians) by gender, single year of age (90 to 104) and by age groups (90-99, 100+ and 105+) for England & Wales. Source agency: Office for National Statistics Designation: Experimental Official Statistics Language: English Alternative title: Population Estimates of the very elderly (experimental)

A survey conducted in the United Kingdom (UK) between July and August 2023, found that seniors aged 50 to 64 years were more likely to get scammed, with ** percent of them stating so. Furthermore, among individuals aged 65 years and older, ** percent stated to having been scammed.

This statistic shows the elderly population (ages 65 and over) as a percentage of the total population in the United Kingdom (UK) as forecasted from 2013 to 2060. The elderly share of the population is projected to increase over the 47 year period by 7.5 percentage points.

In 2018, there were estimated be over 584 thousand people aged 90 and over in the United Kingdom, an increase of approximately 200 thousand people when compared with 2002.

Number of Businesses statistics on the Social Services for the Elderly & People with Disabilities industry in the UK

In UK Elderly Care Market, It is expanding rapidly due to the rising aging population, increasing prevalence of chronic diseases, and growing demand for long-term care solutions.

Dataset population: Households with Household Reference Persons aged 65 and over

Tenure

Tenure provides information about whether a household rents or owns the accommodation that it occupies and, if rented, combines this with information about the type of landlord who owns or manages the accommodation.

This aggregate-level dataset links poor relief data recorded on 1 January 1891 with several variables from corresponding 1891 census data, all at the level of the registration district (RD). Specifically, the numbers of men and women receiving indoor and outdoor relief in the ‘non-able-bodied’ category (taken as a proxy of the numbers of older-age men and women on relief) are accompanied with a series of socio-economic variables calculated from census data on the population aged 60 years and over (our definition of ‘old age’). Thus, the dataset fulfils two objectives: 1. To start reconciling poor relief data from the House of Commons Parliamentary Papers archive with transcribed Integrated Census Microdata (I-CeM) available at the UK Data Service (UKDS). 2. To capture geographical variations in the proportion of older-age men and women on poor relief as well as in several household, occupational and migratory compositions recorded in the census, consulting data from 1891 as a pilot study in anticipation of an extended project covering all censuses from 1851-1911.The study of old age in history has generally had a narrow focus on welfare needs. Specific studies of the extreme poverty, or pauperism, of older people in late nineteenth-century London by Victorian contemporary Charles Booth (1840-1916) have remained remarkably influential for historical research on old age (Booth, 1894; Boyer and Schmidle, 2009). Old age is also examined through institutional care, particularly workhouse accommodation (Lievers, 2009; Ritch, 2014), while the subgroup of the elderly population that were not poor has been underexplored. However, my PhD thesis shows that pauperism was not a universal experience of old age between 1851 and 1911. Using transcribed census data for five selected counties in England and Wales, I find that pauperism was contingent upon many socio-economic factors recorded in census datasets, such as the occupational structure of older people, their living arrangements and their capacity to voluntarily retire from work based on their savings, land and capital. I find that, in some districts of the northern counties of Cheshire and the Yorkshire West Riding, the proportion of men described in the census as 'retired' and the proportion of women 'living on their own means' was greater than the respective proportions of men and women on welfare. For elderly men in particular, there were regional differences in agrarian work, where those in northern England are more likely to run smallholding 'family farms' whereas, in southern England, elderly men generally participate as agricultural labourers. I find that these differences play an important part in the likelihood of becoming pauperised, and adds to the idea of a north-south divide in old age pauperism (King, 2000). Furthermore, pauperism was predicated on the events and circumstances of people throughout their life histories and approaching their old age. My fellowship will enable me to expand upon these findings through limited additional research that stresses an examination of the experiences of all older people in England and Wales. Old age has to be assessed more widely in relation to regional and geographical characteristics. In this way, we refine Booth's London-centric focus on the relationship between poverty and old age. My fellowship will achieve these objectives by systematically tracing the diversity of old age experiences. A pilot study will link welfare data recorded on 1 January 1891 from the House of Commons Parliamentary Papers archive with the socio-economic indicators contained in the 1891 census conducted on 5 April, all incorporated at the level of c. 650 registration districts in England and Wales. I will also visit record offices to extract data on the names of older people recorded as receiving welfare in materials related to the New Poor Law, thereby expanding on the PhD's examination of the life histories of older people. With the key findings from my PhD presented above, I will spend my time addressing a wider audience on my research. As I will argue in blogs and webinars addressed to Age UK, the International Longevity Centre UK and History and Policy, a monolithic narrative of old age as associated with welfare dependency and gradual decline has been constructed since Booth's research in the late nineteenth century. This narrative has remained fixed through the growth of our ageing population, and the development of both old age pensions and the modern welfare state. My research alternatively uses historical censuses that reveal the economic productivity of older people in a manner that is not satisfactorily captured in present day discourse. I will also receive training on how to address my PhD to local schools, through the presentation of maps that present variations in the proportions of older people receiving welfare, and in the application of transcribed census data. Data on the numbers of 'non-able-bodied' men and women receiving outdoor and indoor relief on 1 January 1891 (taken as a proxy for the numbers in old age receiving welfare on this date) by Poor Law Union (648) are then converted to the numbers by corresponding Registration District (630). They are linked with several socio-economic variables involving the numbers of men and women aged 60 years and over in the 1891 census. Further information on this is in the User Guide.

A survey conducted in the United Kingdom (UK) between July and August 2023, found that more than 40 percent of surveyed individuals aged 50 years and older had been a victim of a scam or fraud. The percentage of seniors who stated never having encountered scam incidents was 54 percent.

The UK Disabled and Elderly Assistive Device Market valued USD 1.16 billion in 2023, and it is projected to reach USD 2.81 billion by 2030, at a CAGR of 12.4%.

The dataset contains data provided by specialist elderly care and neurology services on the configuration of their service (service audit) and on the care provided to individual patients in connection with their Parkinson's (patient audit)

Abstract copyright UK Data Service and data collection copyright owner. The data represent the UK contribution to an 8-nation study of ageing in Eastern and Western Europe's rural areas. The study aims to identify cross- national factors which influence the social, material and economic situation of the rural elderly. In addition, the UK component examines attitudes towards paying for health and social care services.

Base Year 2023 Forecast Period 2024-2028 Market Growth X.XX%*

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Elderly And Disabled Assistive Solutions Market Size 2024-2028

The elderly and disabled assistive solutions market size is forecast to increase by USD 15.61 billion, at a CAGR of 8.09% between 2023 and 2028.

The market is witnessing significant growth, driven by increasing initiatives by governments and NGOs to promote independent living for the elderly and disabled population. These organizations are investing in advanced technologies and solutions to address the unique needs of this demographic, creating a fertile ground for market expansion. However, the market also faces challenges, particularly in developing countries where customization remains an issue. The one-size-fits-all approach to assistive solutions often fails to cater to the diverse needs of the population, limiting market penetration and growth.
To overcome this obstacle, companies must focus on developing customizable and affordable solutions that cater to the specific requirements of the elderly and disabled population in these regions. By addressing these challenges and capitalizing on the opportunities presented by government initiatives, market players can effectively navigate the strategic landscape and expand their reach in the market.

What will be the Size of the Elderly And Disabled Assistive Solutions Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2018-2022 and forecasts 2024-2028 - in the full report.
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The market continues to evolve, driven by advancements in technology and shifting demographic trends. Mobility scooters, personal emergency response systems, communication devices, toilet safety rails, wearable sensors, diabetic management systems, adaptive footwear, grab bars, and smart home technology are just a few of the solutions addressing the diverse needs of this population. These offerings are not static; they are continually advancing to meet the evolving requirements of users. For instance, mobility scooters are no longer just simple mobility aids. They are now equipped with features like long-lasting batteries, improved suspension systems, and advanced safety features. Personal emergency response systems have expanded beyond basic medical alerts to include fall detection and remote monitoring capabilities.

Communication devices are integrating voice recognition technology and real-time translation services. Moreover, the convergence of various sectors is leading to innovative combinations of assistive solutions. For example, smart home technology is being integrated with mobility management systems to create more accessible and independent living environments. Wearable sensors are being used in conjunction with cognitive assistance tools to help individuals with memory and cognitive impairments. The market for assistive solutions is vast and multifaceted, with applications ranging from healthcare to daily living aids. The ongoing development of these solutions reflects the dynamic nature of the market and the evolving needs of the elderly and disabled population.

Whether it's mobility aids, adaptive clothing, or home modification solutions, the goal is to enhance the quality of life for those who need it most. Assistive technology is also extending beyond physical aids to include solutions for sensory impairments. Hearing aids are being enhanced with Bluetooth connectivity and artificial intelligence capabilities. Daily living aids like raised toilet seats and bathing aids are being redesigned to be more aesthetically pleasing and user-friendly. The market for assistive solutions is constantly unfolding, with new innovations and applications emerging all the time. The integration of sensor technology and remote monitoring systems is enabling more effective and efficient care delivery, particularly in the area of remote patient monitoring.

Assistive robotics is another area of growth, with robots being developed to assist with tasks like medication reminders and mobility management. In conclusion, the market is a dynamic and evolving space, driven by technological advancements and changing demographic trends. The solutions available, from mobility scooters to cognitive assistance tools, are continually advancing to meet the diverse needs of the elderly and disabled population. Whether it's mobility aids, daily living aids, or healthcare solutions, the goal is to enhance the quality of life for those who need it most. The future of this market is bright, with new innovations and applications emerging all the time.

How is this Elderly And Disabled Assistive Solutions Industry segmented?

The elderly and disabled assistive solutions industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Product

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This dataset is derived from The Nottingham Longitudinal Study on Activity and Ageing (NLSAA). NLSAA is an 8-year survey for people aged 65 and above, which collects demographic information and a large amount of life data of this population. The baseline survey (T1) was conducted in the summer of 1985. During this period, the data collection team randomly sampled 1,299 people aged 65 and above according to the list provided by general practitioners in Nottinghamshire, and interviewed them. After that, every four years, the population was followed up at T2 (in the summer of 1989) and T3 (in the summer of 1993). The NLSAA data finally contains 1263 variables and 1042 observations. The data describes the prevalence of depression and anxiety among the elderly in NLSAA is extracted and used to form this dataset.In NLSAA, we take the sample with depression and anxiety (psych_=1) as positive, and the sample without depression and anxiety (psych_=0) as negative. In order to balance the categories of sample in the dataset, we extract the positive samples and the negative samples from the T1 survey and only positive samples from the T2 and T3 surveys as the observations of the dataset. Then, according to the relevant literature, we extract the risk variables of depression and anxiety in the elderly from NLSAA as the variables of the dataset. As a result, there are 1152 valid observations and 54 risk variables of depression and anxiety in the elderly in this dataset.Note: To access the original NLSAA dataset, please contact Professor Kevin Morgan (https://www.lboro.ac.uk/departments/ssehs/staff/kevin-morgan/, E-mail Address: K.Morgan@lboro.ac.uk) to get permission for accessing and the copy of the dataset.

This is a monthly report on publicly funded community services for people of all ages using data from the Community Services Data Set (CSDS) reported in England for February 2025. It has been developed to help achieve better outcomes and provide data that will be used to commission services in a way that improves health, reduces inequalities, and supports service improvement and clinical quality. These statistics are classified as experimental and should be used with caution. Experimental statistics are new official statistics undergoing evaluation. More information about experimental statistics can be found on the UK Statistics Authority website (linked at the bottom of this page). A provisional data file for March 2025 is now included in this publication. Please note this is intended as an early view until providers submit a refresh of their data, which will be published next month.

Previous Older People’s Day publications have commented on the estimates of the very elderly and the interim life tables. In future these outputs will be accompanied by separate Statistical Bulletins. ONS will be rebasing estimates of the very elderly and interim life tables in line with the 2011 Census results. These will be published in March/April 2013.

Source agency: Office for National Statistics

Designation: Official Statistics not designated as National Statistics

Language: English

Alternative title: FoOP