Projected indicators included are derived from the published 2018-based subnational population projections for England, Wales, Scotland and Northern Ireland up to the year 2043. The indicators are the projected percentage of the population aged 65 years and over, 85 years and over, 0 to 15 years, 16 to 64 years, 16 years to State Pension age, State Pension age and over, median age and the Old Age Dependency Ratio (the number of people of State Pension age per 1000 of those aged 16 years to below State Pension age).

This dataset has been produced by the Ageing Analysis Team for inclusion in the subnational ageing tool, which was published on July 20, 2020 (see link in Related datasets). The tool is interactive, and users can compare latest and projected measures of ageing for up to four different areas through selection on a map or from a drop-down menu.

Note on data sources: England, Wales, Scotland and Northern Ireland independently publish subnational population projections and the data available here are a compilation of these datasets. The ONS publish national level data for the UK, England, Wales and England & Wales, which has been included. National level data for Scotland and Northern Ireland have been taken from their subnational population projections datasets.

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.

Indicators included have been derived from the published 2019 mid-year population estimates for the UK, England, Wales, Scotland and Northern Ireland. These are the number of persons and percentage of the population aged 65 years and over, 85 years and over, 0 to 15 years, 16 to 64 years, 16 years to State Pension age, State Pension age and over, median age and the Old Age Dependency Ratio (the number of people of State Pension age per 1000 of those aged 16 years to below State Pension age).

This dataset has been produced by the Ageing Analysis Team for inclusion in a subnational ageing tool, which was published in July 2020. The tool enables users to compare latest and projected measures of ageing for up to four different areas through selection on a map or from a drop-down menu.

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.

Percentage of the total population who are of retirement age (60+ Females, 65+ Males), by SOA.

There were over 4.7 million people aged between 30 and 34 in the United Kingdom in 2023, making it the most populous age group in that year. Those aged between 35 and 39 years comprised the next most numerous age group in 2023, at over 4.64 million people. Millennials overtake Boomers as biggest generation Post-war demographic trends, particularly the 'baby boom' phenomenon, have significantly influenced the current age distribution in the UK. The postwar peak of live births in 1947 resulted in the dominance of the Baby Boomer generation for several decades, until 2020 when Millennials became the largest generational cohort, surpassing the Boomers for the first time. The following year, the UK Boomer population was then overtaken by Generation X, the generation born between Boomers and Millennials. Generation Z, however, remains smaller than the three generations that preceded it, at 12.9 million individuals in 2022. Aging UK population poses challenges The median age of the UK population is projected to reach 44.5 years by 2050, compared to 34.9 years in 1950. This aging trend is indicative of broader global demographic shifts, with the median age of people worldwide forecasted to increase from 23.6 years in 1950 to 41.9 years by 2100. How countries like the UK manage their aging populations will be one of the key challenges of the next few decades. It is likely the UK's struggling National Health Service (NHS) will come under even more pressure in the coming years. There are also tough economic questions, in particular as more people enter retirement age and the UK's working population gets smaller in relation to it.

These data tables underlie the ‘Ageing in the UK’ interactive mapping tool. Using the tool helps bring these data alive, allowing you to analyse the age structure of the population at the local area level more easily. You can see how the population has aged over time and is projected to continue to age by selecting from a list of indicators of population ageing, such as median age, and animating the map. It is also possible to export jpegs of the maps you produce. Source agency: Office for National Statistics Designation: Official Statistics not designated as National Statistics Language: English Alternative title: Ageing in the UK Datasets

In 2023, there were estimated to be 956,116 people who were aged 35 in the United Kingdom, the most of any age in this year. The two largest age groups during this year were 30-34, and 35 to 39, at 4.7 million and 4.64 million people respectively. There is also a noticeable spike of 693,679 people who were aged 76, which is due to the high number of births that followed in the aftermath of the Second World War. Over one million born in 1964 In post-war Britain, there have only been two years when the number of live births was over one million, in 1947 and in 1964. The number of births recorded in the years between these two years was consistently high as well, with 1955 having the fewest births in this period at 789,000. This meant that until relatively recently, Baby Boomers were the largest generational cohort in the UK. As of 2022, there were approximately 13.76 million Baby Boomers, compared with 14 million in Generation X, 14.48 million Millennials, and 12.9 million members of Gen Z. The youngest generation in the UK, Generation Alpha numbered approximately 7.5 million in the same year. Median age to hit 44.5 years by 2050 The population of the United Kingdom is aging at a substantial rate, with the median age of the population expected to reach 44.5 years by 2050. By comparison, in 1950 the average age in the United Kingdom stood at 34.9 years. This phenomenon is not unique to the United Kingdom, with median age of people worldwide increasing from 23.6 years in 1950 to a forecasted 41.9 years by 2100. As of 2022, the region with the oldest median age in the UK was South West England, at 43.9 years, compared with 35.9 in London, the region with the youngest median age.

Annual mid-year population estimates for those aged 90 years and over by sex and single year of age (90 to 104 years), and the 105 years and over age group, UK.

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 the UK and England & Wales. Source agency: Office for National Statistics Designation: National Statistics Language: English Alternative title: 90+ Population Estimates

Both indicators included have been derived from the published 2019 mid-year population estimates for the UK, England, Wales, Scotland and Northern Ireland. These are sex ratios for people aged 65 years and over and 85 years and over. A sex ratio shows the number of males in the population for every 100 females.

This dataset has been produced by the Ageing Analysis Team for inclusion in a subnational ageing tool, which was published in July 2020. The tool enables users to compare latest and projected measures of ageing for up to four different areas through selection on a map or from a drop-down menu.

Figures presented show the movement of older people between local authorities and regions. Both indicators included in this dataset have been derived from the published 2019 internal migration dataset for England and Wales. The numbers presented are the net number of people aged 65 years and over and 85 years and over entering/ leaving the local authority or region in the 12-month period stated.

This dataset has been produced by the Ageing Analysis Team for inclusion in a subnational ageing tool, which was published in July 2020. The tool is interactive, and users are able to compare latest and projected measures of ageing for up to four different areas through selection on a map or from a drop-down menu.

About this dataset

Context

The dataset tabulates the England population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of England. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 1,489 (57.98% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the England population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in England is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the England is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for England Population by Age. You can refer the same here

In 2023, according to those aged over ** in the United Kingdom, staff shortages and poor NHS management were the main causes of health service strain. Around a third of respondents also pointed to a lack of capacity and increased demands from an aging population. In comparison, the same survey carried out on young people found they believed the main cause of strain on services was a lack of funding, and put a larger emphasis on the impact of Brexit and government policy.

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)

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.

Reports describing the characteristics of the older population in England and Wales

Source agency: Office for National Statistics

Designation: Official Statistics not designated as National Statistics

Language: English

Alternative title: Characteristics of Older People

BackgroundMultimorbidity in people with cardiovascular disease (CVD) is common, but large-scale contemporary reports of patterns and trends in patients with incident CVD are limited. We investigated the burden of comorbidities in patients with incident CVD, how it changed between 2000 and 2014, and how it varied by age, sex, and socioeconomic status (SES).Methods and findingsWe used the UK Clinical Practice Research Datalink with linkage to Hospital Episode Statistics, a population-based dataset from 674 UK general practices covering approximately 7% of the current UK population. We estimated crude and age/sex-standardised (to the 2013 European Standard Population) prevalence and 95% confidence intervals for 56 major comorbidities in individuals with incident non-fatal CVD. We further assessed temporal trends and patterns by age, sex, and SES groups, between 2000 and 2014. Among a total of 4,198,039 people aged 16 to 113 years, 229,205 incident cases of non-fatal CVD, defined as first diagnosis of ischaemic heart disease, stroke, or transient ischaemic attack, were identified. Although the age/sex-standardised incidence of CVD decreased by 34% between 2000 to 2014, the proportion of CVD patients with higher numbers of comorbidities increased. The prevalence of having 5 or more comorbidities increased 4-fold, rising from 6.3% (95% CI 5.6%–17.0%) in 2000 to 24.3% (22.1%–34.8%) in 2014 in age/sex-standardised models. The most common comorbidities in age/sex-standardised models were hypertension (28.9% [95% CI 27.7%–31.4%]), depression (23.0% [21.3%–26.0%]), arthritis (20.9% [19.5%–23.5%]), asthma (17.7% [15.8%–20.8%]), and anxiety (15.0% [13.7%–17.6%]). Cardiometabolic conditions and arthritis were highly prevalent among patients aged over 40 years, and mental illnesses were highly prevalent in patients aged 30–59 years. The age-standardised prevalence of having 5 or more comorbidities was 19.1% (95% CI 17.2%–22.7%) in women and 12.5% (12.0%–13.9%) in men, and women had twice the age-standardised prevalence of depression (31.1% [28.3%–35.5%] versus 15.0% [14.3%–16.5%]) and anxiety (19.6% [17.6%–23.3%] versus 10.4% [9.8%–11.8%]). The prevalence of depression was 46% higher in the most deprived fifth of SES compared with the least deprived fifth (age/sex-standardised prevalence of 38.4% [31.2%–62.0%] versus 26.3% [23.1%–34.5%], respectively). This is a descriptive study of routine electronic health records in the UK, which might underestimate the true prevalence of diseases.ConclusionsThe burden of multimorbidity and comorbidity in patients with incident non-fatal CVD increased between 2000 and 2014. On average, older patients, women, and socioeconomically deprived groups had higher numbers of comorbidities, but the type of comorbidities varied by age and sex. Cardiometabolic conditions contributed substantially to the burden, but 4 out of the 10 top comorbidities were non-cardiometabolic. The current single-disease paradigm in CVD management needs to broaden and incorporate the large and increasing burden of comorbidities.

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.

United Kingdom Population: UK: Aged 60 & Over F & 65 & Over M data was reported at 11,989.322 Person th in 2017. This records an increase from the previous number of 11,814.085 Person th for 2016. United Kingdom Population: UK: Aged 60 & Over F & 65 & Over M data is updated yearly, averaging 10,605.000 Person th from Jun 1971 (Median) to 2017, with 47 observations. The data reached an all-time high of 14,992.354 Person th in 2014 and a record low of 9,123.000 Person th in 1971. United Kingdom Population: UK: Aged 60 & Over F & 65 & Over M data remains active status in CEIC and is reported by Office for National Statistics. The data is categorized under Global Database’s United Kingdom – Table UK.G001: Population.