In 2022 life expectancy for both males and females at birth fell when compared to 2021. Male life expectancy fell from 78.71 years to 78.57 years, and from 82.68 years to 82.57 years for women. Throughout most of this period, there is a steady rise in life expectancy for both males and females, with improvements in life expectancy beginning to slow in the 2010s and then starting to decline in the 2020s. Life expectancy since the 18th Century Although there has been a recent dip in life expectancy in the UK, long-term improvements to life expectancy stretch back several centuries. In 1765, life expectancy was below 39 years, and only surpassed 40 years in the 1810s, 50 years by the 1910s, 60 years by the 1930s and 70 by the 1960s. While life expectancy has broadly improved since the 1700s, this trajectory was interrupted at various points due to wars and diseases. In the early 1920s, for example, life expectancy suffered a noticeable setback in the aftermath of the First World War and Spanish Flu Epidemic. Impact of COVID-19 While improvements to UK life expectancy stalled during the 2010s, it wasn't until the 2020s that it began to decline. The impact of COVID-19 was one of the primary factors in this respect, with 2020 seeing the most deaths in the UK since 1918. The first wave of the pandemic in Spring of that year was a particularly deadly time, with weekly death figures far higher than usual. A second wave that winter saw a peak of almost 5,700 excess deaths a week in late January 2021, with excess deaths remaining elevated for several years afterward.

In 2023, the life expectancy at birth for women born in the UK was 82.77 years, compared with 78.82 years for men. By age 65 men had a life expectancy of 18.51 years, compared with 20.96 years for women.

In 2024, the average life expectancy in the world was 71 years for men and 76 years for women. The lowest life expectancies were found in Africa, while Oceania and Europe had the highest. What is life expectancy?Life expectancy is defined as a statistical measure of how long a person may live, based on demographic factors such as gender, current age, and most importantly the year of their birth. The most commonly used measure of life expectancy is life expectancy at birth or at age zero. The calculation is based on the assumption that mortality rates at each age were to remain constant in the future. Life expectancy has changed drastically over time, especially during the past 200 years. In the early 20th century, the average life expectancy at birth in the developed world stood at 31 years. It has grown to an average of 70 and 75 years for males and females respectively, and is expected to keep on growing with advances in medical treatment and living standards continuing. Highest and lowest life expectancy worldwide Life expectancy still varies greatly between different regions and countries of the world. The biggest impact on life expectancy is the quality of public health, medical care, and diet. As of 2022, the countries with the highest life expectancy were Japan, Liechtenstein, Switzerland, and Australia, all at 84–83 years. Most of the countries with the lowest life expectancy are mostly African countries. The ranking was led by the Chad, Nigeria, and Lesotho with 53–54 years.

Between 2021 and 2023, London was the region of the United Kingdom that had the highest average life expectancy for females, at ***** years, while South East England had the highest life expectancy for males at ***** years. By comparison, Scotland had the lowest life expectancy, at ***** for males and ***** for females.

The average number of additional years a man or woman aged 75 can be expected to live if they continue to live in the same place and the death rates in their area remain the same for the rest of their life. To ensure that the NHS is held to account for doing all that it can to prevent avoidable deaths in older people. This indicator captures all persons aged 75 and over. A correction was made to this indicator on the 6th March 2019 due to errors found in the data. The confidence intervals for females in the region breakdown for the 2015-17 time period were displayed the wrong way round and some of the upper intervals were rounded incorrectly. These have now been corrected. A further correction was made to this indicator on the 21st May 2020. For 2015-17, The population numbers presented within the local authority (LA) breakdown for females were found to be incorrect for three LAs. The affected LAs were Redcar and Cleveland (E06000003), Norwich (E07000148) and Redbridge (E09000026). These have now been corrected. The indicator value and confidence intervals for all three LAs were unaffected by the error. Legacy unique identifier: P01728

This dataset contains indicator values for NHS (National Health Service) Outcomes Framework indicator - the average number of additional years a man or woman aged 75 can be expected to live if they continue to live in the same place and the death rates in their area remain the same for the rest of their life.

Life expectancy at birth and at age 65, by sex, on a three-year average basis.

Objectives:The current study aimed to generate the first life tables for the UK companion cat population overall as well as broken down by sex and breed status, and to quantify associations between traits such as sex, neuter status, breed status and bodyweight with mortality.Methods:Life table construction and modelling included data on 7,936 confirmed deaths in cats under primary veterinary care at clinics participating in the VetCompass Programme in 2019. The life tables were built for cats overall, for female and male cats, and for crossbred cats and purebred cats. Multivariable generalised linear regression models were generated to explore risk factors for shortened lifespan.Results:Life expectancy at age 0 for UK companion cats overall was 11.74 (95% CI: 11.61−11.87) years. The probability of death at each year interval increased with age from year interval 3−4, with the probability value not exceeding 0.05 before year 9. Female cats (12.51; 95% CI: 12.32−12.69) had 1.33-year longer life expectancy than male cats (11.18; 95% CI: 11.01−11.38) at age 0. Among 13 breeds (including crossbreed) analysed, Burmese and Birman had the longest life expectancy at year 0, showing 14.42 (95% CI: 12.91−15.93) and 14.39 (95% CI: 12.87−15.91), respectively. The Sphynx had the shortest life expectancy at year 0 among the breeds analysed at 6.68 (95% CI: 4.53−8.83). Being intact, purebred and non-ideal bodyweight were significantly linked to a decreased lifespan.Conclusions and relevance:The life tables presented here for pet cats in the UK overall, by sex and by crossbred and purebred can contribute to a better understanding of the life trajectory of cats, helping evidence-based decision-making for cat owners and the veterinary profession. We also provided updated life expectancy at age 0 of various cat breeds for 2019 and showed evidence of the association between non-ideal weight and a decreased lifespan.

Life expectancy in the United Kingdom was below 39 years in the year 1765, and over the course of the next two and a half centuries, it is expected to have increased by more than double, to 81.1 by the year 2020. Although life expectancy has generally increased throughout the UK's history, there were several times where the rate deviated from its previous trajectory. These changes were the result of smallpox epidemics in the late eighteenth and early nineteenth centuries, new sanitary and medical advancements throughout time (such as compulsory vaccination), and the First world War and Spanish Flu epidemic in the 1910s.

IntroductionRelative to men, women are at a higher risk of developing age-related neurocognitive disorders including Alzheimer’s disease. While women’s health has historically been understudied, emerging evidence suggests that reproductive life events such as pregnancy and hormone use may influence women’s cognition later in life.MethodsWe investigated the associations between reproductive history, exogenous hormone use, apolipoprotein (APOE) ε4 genotype and cognition in 221,124 middle- to older-aged (mean age 56.2 ± 8.0 years) women from the UK Biobank. Performance on six cognitive tasks was assessed, covering four cognitive domains: episodic visual memory, numeric working memory, processing speed, and executive function.ResultsA longer reproductive span, older age at menopause, older age at first and last birth, and use of hormonal contraceptives were positively associated with cognitive performance later in life. Number of live births, hysterectomy without oophorectomy and use of hormone therapy showed mixed findings, with task-specific positive and negative associations. Effect sizes were generally small (Cohen’s d < 0.1). While APOE ε4 genotype was associated with reduced processing speed and executive functioning, in a dose-dependent manner, it did not influence the observed associations between female-specific factors and cognition.DiscussionOur findings support previous evidence of associations between a broad range of female-specific factors and cognition. The positive association between a history of hormonal contraceptive use and cognition later in life showed the largest effect sizes (max. d = 0.1). More research targeting the long-term effects of female-specific factors on cognition and age-related neurocognitive disorders including Alzheimer’s disease is crucial for a better understanding of women’s brain health and to support women’s health care.

Middlesbrough’s current population was estimated to be 140,398 in 2016 by the Office of National Statistics (Mid-year population estimates 2016). With a total area of 5,387 hectares, Middlesbrough is the smallest and second most densely-populated local authority area in the north east. Significant changes in the population demographics of Middlesbrough since the 2001 Census highlight an increasingly diverse and ageing population in the town.Age[1]Middlesbrough has a younger population than both the national and regional averages, however there has been significant growth in the ageing population since Census 2001.20.58% of Middlesbrough’s resident population are Children and Young People aged 0 to 15 years. This is higher than the England rate of 19.05% and the north east rate of 17.74%.63.56% are ‘working age’ between 16 and 64 years. This is higher than both the England rate of 63.07% and the north east rate of 63.01%.15.90% are ‘older people’ aged over 65 years. This is lower than both the England rate of 17.88% and the north east rate of 19.25%.Gender [2]50.85% of Middlesbrough’s population were estimated to be female. This is in line with both the England rate of 50.60% and the north east rate of 50.92%49.15% of Middlesbrough’s population were estimated to be male. This is in line with the England rate of 49.40% and the north east rate of 49.08%.Women in Middlesbrough live longer than men, with 17.62% of women are aged over 65 years. This is lower than both the England rate of 19.75% and the north east rate of 21.43%The gender breakdown of Council employment figures is 70.57% women and 29.42% men. This is not reflective of the wider labour market figures of 47% and 53% respectively[3] though it is broadly comparable with the employment levels in other local authorities.[4]Sexual Orientation[5]Office for National Statistics has estimated that 94.6% of Middlesbrough’s population identify as heterosexual or straight, with 1.2% identifying as gay or lesbian, 0.4% identify as bisexual, as a result of the Annual Population Survey 2016. This is higher than the north east region and England.Ethnic Diversity[6]Middlesbrough is the most ethnically diverse local authority area in the Tees Valley, with a British Minority Ethnic population of 11.7% identified at Census 2011, an increase of 86% since 2001 and which is projected to grow further.88.18% of Middlesbrough’s resident population were classed as White (with various sub-groups) this was lower than the north east rate of 93.63% but higher than the England rate of 79.75%. Middlesbrough is the second most ethnically diverse local authority in the north east, behind Newcastle upon Tyne with 81.92% classed as White.7.78% were classed as Asian/Asian British (with sub-groups), this is higher than the north east rate of 2.87% but slightly lower albeit in lien with the England rate of 7.82%. Again, Middlesbrough is only behind Newcastle upon Tyne on this measure (9.67%), however has the highest percentage in the Tees Valley.1.71% of the population were identified as Mixed/Multiple ethnic groups (with sub-groups), this was higher than the north east rate of 0.86% but slower than the national rate of 2.25%. Middlesbrough had the highest percentage of this group in the north east.1.25% of the population were identified as Black/Africa/Caribbean/Black British, this was higher than the north east rate of 0.51% but lower than the England rate of 3.48%. Middlesbrough is only behind Newcastle upon Tyne on this measure (1.84%), however has the highest percentage in the Tees Valley.1.08% of the population were identified as Other Ethnic Group, this was higher than both the England rate of 1.03% and the north east rate of 0.43%. Middlesbrough is only behind Newcastle upon Tyne with 1.46%, however has the highest percentage in the Tees Valley.8.2% of Middlesbrough’s total population were born outside of the UK as at census 2011, this was lower than the England rate of 8.21% but almost double the north east rate of 4.95%. Middlesbrough has the highest percentage of residents born outside of the UK in the Tees Valley, however it is second behind Newcastle upon Tyne in the north east.15.74% of Asylum seekers in the north east were reported to be resident in Middlesbrough in the period October to December 2017 (Q4). Newcastle upon Tyne has the highest rate with 23.66%, followed by Stockton-on-Tees with 19.73%, this places Middlesbrough third in the north east and second in the Tees Valley.ONS reports a rise in the number of Non-British nationals per 1,000 of the resident population, with 51.1 in 2011 and 72.5 in 2015. This is higher than the north east with 27.7 rising to 34.3 and lower than England at 83.5 rising to 93.2Gender Identity[7]The Gender Identity Research & Education Society (GIRES) estimates that about 1% of the British population are gender nonconforming to some degree. The numbers of Trans boys and Trans girls are about equal. The number of people seeking treatment is growing every year.Based on GIRES estimate, around 1,400 members of Middlesbrough’s population could be gender nonconforming, however this is an estimate.Whilst there is a requirement for data on gender identity, there are currently no means for recording it. The Office for National Statistics is currently considering the addition of a question on Gender Identity for the 2021 Census, however at this time it is under consultation as to how it will be added and worded to best suit this group of the population.Religion and Belief71.59% of Middlesbrough’s resident population were identified as having religion in the 2011 census. This is higher than both England with 68.09% and the north east with 70.52%22.25% of the population were identified as having no religion, this was lower than both England with 24.74% and the north east with 23.40%.6.16% of the population did not state their religion, this was lower than England with 7.18%, but higher than the north east with 6.08%.63.23% of the population were identified as Christian, this was higher than England with 59.38% but lower than the north east with 67.52%.7.05% of the population were identified as Muslim, this was higher than both England with 5.02% and the north east with 1.80%. Middlesbrough has the highest Muslim population in the north east and the Tees Valley.The remaining proportion of the population were identified as Buddhist, Hindu, Jewish, Sikh and ‘Other religion’ each accounting for less than 1% of the population. This trend is seen in the England and north east averages.

Annual data on death registrations by single year of age for the UK (1974 onwards) and England and Wales (1963 onwards).

In recent years, the gender gap in cryptocurrency adoption has become a key topic. Worldwide, men continue to lead in ownership of digital assets, while women’s participation steadily rises. For example, in a U.S. household survey by JPMorgan Chase & Co., men aged 18–49 reported ownership rates far higher than...

A dataset exploring the commuting patterns of men and women in the UK, including regional breakdowns by mode of transport used and time taken to get to work.

It is only in the past two centuries where demographics and the development of human populations has emerged as a subject in its own right, as industrialization and improvements in medicine gave way to exponential growth of the world's population. There are very few known demographic studies conducted before the 1800s, which means that modern scholars have had to use a variety of documents from centuries gone by, along with archeological and anthropological studies, to try and gain a better understanding of the world's demographic development. Genealogical records One such method is the study of genealogical records from the past; luckily, there are many genealogies relating to European families that date back as far as medieval times. Unfortunately, however, all of these studies relate to families in the upper and elite classes; this is not entirely representative of the overall population as these families had a much higher standard of living and were less susceptible to famine or malnutrition than the average person (although elites were more likely to die during times of war). Nonetheless, there is much to be learned from this data. Impact of the Black Death In the centuries between 1200 and 1745, English male aristocrats who made it to their 21st birthday were generally expected to live to an age between 62 and 72 years old. The only century where life expectancy among this group was much lower was in the 1300s, where the Black Death caused life expectancy among adult English noblemen to drop to just 45 years. Experts assume that the pre-plague population of England was somewhere between four and seven million people in the thirteenth century, and just two million in the fourteenth century, meaning that Britain lost at least half of its population due to the plague. Although the plague only peaked in England for approximately eighteen months, between 1348 and 1350, it devastated the entire population, and further outbreaks in the following decades caused life expectancy in the decade to drop further. The bubonic plague did return to England sporadically until the mid-seventeenth century, although life expectancy among English male aristocrats rose again in the centuries following the worst outbreak, and even peaked at more than 71 years in the first half of the sixteenth century.

26 online interviews were conducted of which 22 are available in this archive. One female UK interviewee did not audio-record clearly enough for accurate transcription; and one female UK interviewee and two non-UK interviewees - one man, one woman - gave consent for analysis in the orginal project but not for making their anonymised transcript more widely available.

UK Sample Gender: 3 men, 11 women (2 women interviewed together) GCRF Strategic Portfolio Theme: 1 Education, 7 Health, 1 Cities, 2 Security, 1 Food, 1 Environment Research Council: 3 AHRC, 1 BBSRC, 1 EPSRC, 2 ESRC, 3 MRC, 3 NERC, 0 STFC World Region (Some sampled projects covered more than one region): 5 Africa, 4 Americas, 2 SE Asia, 1 Europe, 1 Eastern Mediterranean, 4 Western Pacific, 2 Global

Non-UK Sample Gender: 4 men, 9 women GCRF Strategic Portfolio Theme: 3 Education, 7 Health, 0 Cities, 1 Security, 2 Food, 0 Environment Research Council: 2 AHRC, 1 BBSRC, 2 EPSRC, 2 ESRC, 3 MRC, 1 NERC, 0 STFC, 2 Not Applicable World Region (Some sampled projects covered more than one region): 2 Africa, 3 Americas, 3 SE Asia, 1 Europe, 1 Eastern Mediterranean, 3 Western Pacific, 1 GlobalWorldwide, one billion people have a mental health disorder, placing these among the leading causes of ill-health and disability. Moreover, poor mental health disproportionately affects people in Low and Middle Income Countries (LMIC) where there exists also a huge mental health workforce gap. Arguably, mental health is a right and tackling poor mental health is also a means of facilitating sustainable socio-economic development. Global Mental Health aligns with Sustainable Development Goal 3: 'Good Health and Well-Being,' specifically 3.4: 'By 2030, reduce by one third premature mortality from non-communicable diseases through prevention and treatment and promote mental health and well-being.'

Our ambition is to trigger a step-change in how the research community thinks about where, how and by whom mental health in LMICs can be impacted to benefit people experiencing poor mental health. Specifically, we believe there is untapped potential for global researchers to impact mental health whilst delivering their core (non-mental health) project aims, and that this can be done without significant resource implications. Therefore, to accelerate global action on mental health our long-term aim is to produce a Global Mental Health Impact Framework with potential for use in all research in developing countries. Our first stage project will establish a foundation and pathway towards this long-term aim by creating a beta version of the Impact Framework, based on arts and humanities methodologies first, ready for future testing and development across a broad range of GCRF projects in a second stage application. At this second stage, we will also develop an implementation plan to support funders, researchers and LMIC partners to understand and use the Framework.

The Challenge Cluster brings together 16 GCRF projects funded by the AHRC, ESRC and MRC, a University of Leeds (UoL) AHRC-GCRF Network Plus, and UoL AHRC-led GCRF Hub totalling over £6.5 million and collaborator from outside the academy who has worked on non-GCRF ODA-oriented projects. A huge advantage of the Cluster is that it builds on the activities and resources of Praxis: Arts and Humanities for Global Development: an AHRC-led GCRF Hub at the UoL. We will develop our own Praxis Nexus approach to bring together what has been found and engage with researchers, practitioners, and policy-makers to accelerate impact on a cross-national scale commensurate with the significance of the GCRF programme.

Measurable, realistic, achievable objectives for the first-stage 12-month project are to:- 1. Complete a scoping review of (i) material practices and (ii) implicit and explicit mental health activities in non-mental health focused GCRF projects funded to date; 2. Complete a report outlining the basis for a Global Mental Health Impact Framework around collaborative material practices; 3. Develop and strengthen equitable international academic, policy and practitioner partnerships and build capacity in LMIC and the UK; and, 4. Use this work to assist in developing the agenda and programmes of research to be undertaken in the second stage application.

In relation to potential applications and benefits we will: 1. Raise the awareness of UK and LMIC funders, researchers and organisations that they may be missing 'low hanging fruit' opportunities to impact mental health in their portfolios and projects; 2. Provide them with a basic understanding of how Global Mental Health challenges can be conceptualised and identified in non-mental health focused projects; and 3.

Important notice

The Office for Statistics Regulation confirmed on 12/09/2024 that the gender identity estimates from Census 2021 are no longer accredited official statistics and are classified as official statistics in development.

For further information please see: Sexual orientation and gender identity quality information for Census 2021

These datasets provide Census 2021 estimates that classify usual residents aged 16 years and over in England and Wales for gender identity by sex, gender identity by age and gender identity by sex and age.

Gender identity

Gender identity refers to a person's sense of their own gender, whether male, female or another category such as non-binary. This may or may not be the same as their sex registered at birth.

Non-binary

Someone who is non-binary does not identify with the binary categories of man and woman. In these results the category includes people who identified with the specific term "non-binary" or variants thereon. However, those who used other terms to describe an identity that was neither specifically man nor woman have been classed in "All other gender identities".

Sex

This is the sex recorded by the person completing the census. The options were "Female" and "Male".

Trans

An umbrella term used to refer to people whose gender identity is different from their sex registered at birth. This includes people who identify as a trans man, trans woman, non-binary or with another minority gender identity.

Trans man

A trans man is someone who was registered female at birth, but now identifies as a man.

Trans woman

A trans woman is someone who was registered male at birth, but now identifies as a woman.

Usual resident

A usual resident is anyone who on Census Day, 21 March 2021, was in the UK and had stayed or intended to stay in the UK for a period of 12 months or more, or had a permanent UK address and was outside the UK and intended to be outside the UK for less than 12 months.

Notes:

• To ensure that individuals cannot be identified in the data, population counts have been rounded to the nearest five and counts under 10 have been suppressed.

• Percentages have been calculated using rounded data.

Ages of husband and wife at marriage, and analyses of the percentage of marriages ending in divorce by year of marriage and anniversary, and proportions of men and women who had ever divorced by year of birth and age.

As of 2023, the countries with the highest life expectancy included Switzerland, Japan, and Spain. As of that time, a new-born child in Switzerland could expect to live an average of **** years. Around the world, females consistently have a higher average life expectancy than males, with females in Europe expected to live an average of *** years longer than males on this continent. Increases in life expectancy The overall average life expectancy in OECD countries increased by **** years from 1970 to 2019. The countries that saw the largest increases included Turkey, India, and South Korea. The life expectancy at birth in Turkey increased an astonishing 24.4 years over this period. The countries with the lowest life expectancy worldwide as of 2022 were Chad, Lesotho, and Nigeria, where a newborn could be expected to live an average of ** years. Life expectancy in the U.S. The life expectancy in the United States was ***** years as of 2023. Shockingly, the life expectancy in the United States has decreased in recent years, while it continues to increase in other similarly developed countries. The COVID-19 pandemic and increasing rates of suicide and drug overdose deaths from the opioid epidemic have been cited as reasons for this decrease.