In 2023, about 17.7 percent of the American population was 65 years old or over; an increase from the last few years and a figure which is expected to reach 22.8 percent by 2050. This is a significant increase from 1950, when only eight percent of the population was 65 or over. A rapidly aging population In recent years, the aging population of the United States has come into focus as a cause for concern, as the nature of work and retirement is expected to change to keep up. If a population is expected to live longer than the generations before, the economy will have to change as well to fulfill the needs of the citizens. In addition, the birth rate in the U.S. has been falling over the last 20 years, meaning that there are not as many young people to replace the individuals leaving the workforce. The future population It’s not only the American population that is aging -- the global population is, too. By 2025, the median age of the global workforce is expected to be 39.6 years, up from 33.8 years in 1990. Additionally, it is projected that there will be over three million people worldwide aged 100 years and over by 2050.

Globally, about 25 percent of the population is under 15 years of age and 10 percent is over 65 years of age. Africa has the youngest population worldwide. In Sub-Saharan Africa, more than 40 percent of the population is below 15 years, and only three percent are above 65, indicating the low life expectancy in several of the countries. In Europe, on the other hand, a higher share of the population is above 65 years than the population under 15 years. Fertility rates The high share of children and youth in Africa is connected to the high fertility rates on the continent. For instance, South Sudan and Niger have the highest population growth rates globally. However, about 50 percent of the world’s population live in countries with low fertility, where women have less than 2.1 children. Some countries in Europe, like Latvia and Lithuania, have experienced a population decline of one percent, and in the Cook Islands, it is even above two percent. In Europe, the majority of the population was previously working-aged adults with few dependents, but this trend is expected to reverse soon, and it is predicted that by 2050, the older population will outnumber the young in many developed countries. Growing global population As of 2025, there are 8.1 billion people living on the planet, and this is expected to reach more than nine billion before 2040. Moreover, the global population is expected to reach 10 billions around 2060, before slowing and then even falling slightly by 2100. As the population growth rates indicate, a significant share of the population increase will happen in Africa.

This map is showing the areas where the 65 and older population from the ACS 2014-2018 is 30% or greater. It is also showing the State Police stations, shelters, libraries, delaware health services, age restricted communities, and delaware bus routes and stops. By understanding resources that are within and around your community and understanding the demographics of your community, you can better prepare for an emergency.

About this dataset

Context

The dataset tabulates the data for the Baltimore County, MD population pyramid, which represents the Baltimore County population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Baltimore County, MD, is 28.2.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Baltimore County, MD, is 27.7.
• Total dependency ratio for Baltimore County, MD is 55.9.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Baltimore County, MD is 3.6.

Content

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

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Baltimore County population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Baltimore County for the selected age group is shown in the following column.
• Population (Female): The female population in the Baltimore County for the selected age group is shown in the following column.
• Total Population: The total population of the Baltimore County for the selected age group 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 Baltimore County Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the San Diego County 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 San Diego County. 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 2.09 million (63.81% 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 San Diego County population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in San Diego County is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the San Diego County 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 San Diego County Population by Age. You can refer the same here

While the aging population is growing, our knowledge regarding age-related deterioration of visual perception remains limited. In the present study, we investigated the effects of aging on orientation and direction sensitivity in a healthy population using a weighted up–down adaptive method to improve the efficiency and reliability of the task. A total of 57 healthy participants aged 22–72 years were included and divided into old and young groups. Raw experimental data were processed using a psychometric method to determine the differences between the two groups. In the orientation task, the threshold of the discrimination angle and bias (i.e., the difference between the perceived midpoint from the logistic function and the reference point) was increased, while the lapsing rate (i.e., 1—the maximum logistic function) did not significantly change in the old group compared with the young group. In the motion direction task, the threshold, bias, and lapsing rate were significantly increased in the old group compared with the young group. These results suggest that the decreased ability of old participants in discrimination of stimulus orientation and motion direction could be related to the impaired function of visual cortex.

Elder Companion Volunteer App Market Outlook

According to our latest research, the global Elder Companion Volunteer App market size reached USD 1.62 billion in 2024, reflecting a surging demand for digital solutions to address elderly care and companionship needs. The market is exhibiting a robust growth trajectory, with a CAGR of 13.8% expected from 2025 to 2033. By 2033, the market size is forecasted to reach USD 5.14 billion, driven by the rapid adoption of mobile technology, increasing aging populations, and a heightened focus on social inclusion for seniors. As per our latest research, the Elder Companion Volunteer App market is being propelled by the convergence of technology and community-based care, creating new opportunities for stakeholders across the healthcare and social services sectors.

One of the primary growth factors fueling the expansion of the Elder Companion Volunteer App market is the global demographic shift toward an aging population. The United Nations projects that by 2030, one in six people globally will be aged 60 years or over, leading to an unprecedented demand for elder care services. As traditional caregiving resources become increasingly strained, digital platforms are emerging as essential tools for bridging the gap. Elder Companion Volunteer Apps facilitate connections between seniors and volunteers, addressing critical issues such as loneliness, mobility challenges, and the need for daily living assistance. This digital transformation not only enhances the quality of life for elderly individuals but also provides a scalable and cost-effective solution for families and caregivers, contributing significantly to the market's rapid growth.

Another crucial driver is the widespread adoption of smartphones and internet connectivity among older adults. With the proliferation of user-friendly mobile devices and intuitive app interfaces, seniors are more empowered than ever to leverage technology for their well-being. The integration of advanced features such as real-time health monitoring, secure messaging, and location-based services within Elder Companion Volunteer Apps has further increased their appeal. Additionally, the COVID-19 pandemic accelerated the adoption of digital care solutions, highlighting the importance of remote companionship and support for vulnerable populations. As a result, app developers and service providers are investing heavily in innovation, ensuring that their platforms remain accessible, secure, and tailored to the unique needs of elderly users.

Government initiatives and non-profit organizations are also playing a pivotal role in the market's expansion. Many countries have introduced policies aimed at promoting active aging and community-based support systems, often partnering with technology providers to deliver effective solutions. Non-profit organizations and community groups are leveraging Elder Companion Volunteer Apps to coordinate volunteer efforts, streamline service delivery, and monitor the well-being of seniors in real time. These collaborations are not only enhancing the reach and impact of elder care programs but are also attracting funding and investment from both public and private sectors. The combined efforts of governments, NGOs, and technology companies are creating a robust ecosystem that supports the sustained growth of the Elder Companion Volunteer App market.

From a regional perspective, North America currently leads the Elder Companion Volunteer App market, accounting for the largest share in 2024, followed closely by Europe and Asia Pacific. The dominance of North America can be attributed to its advanced healthcare infrastructure, high smartphone penetration, and a strong culture of volunteerism. Europe is witnessing significant growth due to supportive government policies and a rapidly aging population, while Asia Pacific is emerging as a lucrative market driven by increasing awareness and digital transformation initiatives. Latin America and the Middle East & Africa, though still in nascent stages, are expected to witness accelerated growth over the forecast period as internet access and mobile adoption continue to rise. This regional diversification is creating new opportunities for market players to tailor their offerings and expand their footprint globally.

Healthy Aging Products Market Outlook

According to our latest research, the Healthy Aging Products Market size reached USD 85.7 billion in 2024, reflecting robust global demand and innovation in the sector. The market is expanding at a CAGR of 7.9% and is forecasted to achieve a valuation of USD 171.8 billion by 2033. This impressive growth is primarily driven by rising health awareness among aging populations, increased disposable incomes in emerging economies, and a growing emphasis on preventive healthcare and wellness solutions.

One of the primary growth factors propelling the Healthy Aging Products Market is the demographic shift toward an older global population. According to the World Health Organization, the number of people aged 60 and above is projected to double by 2050, reaching over 2.1 billion. This demographic transformation has led to a surge in demand for products that support healthy aging, such as dietary supplements, functional foods, and advanced skincare solutions. Consumers are increasingly proactive about maintaining their health, seeking products that not only address age-related conditions but also promote overall vitality and longevity. The proliferation of scientific research highlighting the benefits of ingredients like collagen, antioxidants, and omega-3 fatty acids further fuels market expansion, as consumers look for evidence-backed solutions to age gracefully.

Another significant growth driver is the rapid advancement in product innovation and formulation. Companies in the Healthy Aging Products Market are investing heavily in R&D to develop products tailored to the unique needs of aging individuals. For example, there has been a notable increase in the availability of personalized supplements, functional beverages fortified with bioactive compounds, and skincare products with targeted anti-aging properties. The integration of cutting-edge technology, such as AI-driven personalized nutrition and digital health platforms, is also enhancing consumer engagement and product efficacy. As a result, the market is witnessing a steady influx of new entrants and established players alike, all vying to capture market share through differentiated offerings and superior product performance.

In addition to demographic and technological factors, the Healthy Aging Products Market is benefiting from supportive regulatory frameworks and growing healthcare expenditures worldwide. Governments and health organizations are actively promoting preventive healthcare, which has led to increased consumer trust and adoption of healthy aging products. Furthermore, the rise of e-commerce and digital health platforms has made these products more accessible, especially in regions with limited brick-and-mortar retail infrastructure. Strategic collaborations between manufacturers, healthcare providers, and digital platforms are further amplifying market reach and consumer awareness. Collectively, these factors are creating a favorable environment for sustained market growth over the forecast period.

From a regional perspective, North America currently dominates the Healthy Aging Products Market, accounting for the largest share due to high consumer awareness, advanced healthcare infrastructure, and a strong presence of leading market players. However, the Asia Pacific region is emerging as the fastest-growing market, driven by a rapidly aging population, rising middle-class incomes, and increasing health consciousness. Europe also represents a significant market, characterized by a well-established regulatory environment and growing demand for natural and organic healthy aging products. Latin America and the Middle East & Africa are witnessing steady growth, supported by improving healthcare access and rising consumer interest in wellness and preventive care.

Product Type Analysis

The Healthy Aging Products Market is segmented by product type into dietary supplements, skincare products, functional foods & beverages, pharmaceuticals, and others. Among these, dietary supplements hold the largest market share, owing to

About this dataset

Context

The dataset tabulates the Shrewsbury town 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 Shrewsbury town. 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 - 64 years with a poulation of 23,076 (60.26% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Shrewsbury town population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Shrewsbury town is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Shrewsbury town 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 Shrewsbury town Population by Age. You can refer the same here

Senior Care Coordination App Market Outlook

According to our latest research, the global Senior Care Coordination App market size reached USD 1.94 billion in 2024, reflecting the sector’s rapid digital transformation and growing reliance on technology for elderly care. The market is projected to expand at a CAGR of 17.2% from 2025 to 2033, reaching a forecasted value of USD 7.15 billion by 2033. This robust growth is primarily driven by the increasing aging population, rising prevalence of chronic diseases among seniors, and the urgent need for streamlined care coordination solutions that enhance both quality and efficiency of care delivery.

One of the primary growth drivers for the Senior Care Coordination App market is the global demographic shift towards an older population. As per the United Nations, the population aged 65 years and above is expected to double by 2050, creating an unprecedented demand for healthcare services tailored to seniors. This demographic trend is compelling healthcare providers, families, and care agencies to adopt digital solutions that facilitate real-time communication, remote health monitoring, and medication management for elderly individuals. The integration of advanced technologies such as artificial intelligence and machine learning into these apps further enhances predictive analytics and personalized care, making them indispensable tools in the modern senior care ecosystem. This shift is also being supported by increasing digital literacy among seniors and their caregivers, further accelerating market adoption.

Another significant factor contributing to the market’s growth is the rising prevalence of chronic health conditions in the elderly population, including diabetes, cardiovascular diseases, and neurodegenerative disorders such as Alzheimer’s and Parkinson’s disease. These conditions often require continuous monitoring, timely medication, and coordinated care efforts from multiple stakeholders, including family members, healthcare professionals, and home care agencies. Senior Care Coordination Apps address these needs by providing a unified platform for tracking health metrics, scheduling appointments, managing medication reminders, and facilitating communication among all involved parties. The growing emphasis on patient-centric care and the need to reduce hospital readmissions and emergency visits are further propelling the adoption of these digital solutions, making them a cornerstone of modern senior healthcare delivery models.

Furthermore, the ongoing COVID-19 pandemic has acted as a catalyst for the rapid adoption of digital health solutions, including Senior Care Coordination Apps. The pandemic highlighted the vulnerabilities of the elderly population and underscored the importance of remote health management and virtual care coordination. As healthcare systems worldwide continue to adapt to the new normal, the demand for secure, reliable, and user-friendly care coordination platforms has surged. Governments and regulatory bodies are also playing a pivotal role by encouraging the integration of digital health technologies through supportive policies and funding initiatives. These developments are expected to sustain the momentum of market growth, with continuous innovation and strategic partnerships shaping the future landscape of senior care coordination.

From a regional perspective, North America currently dominates the Senior Care Coordination App market, accounting for the largest revenue share in 2024. This leadership is attributed to the region’s advanced healthcare infrastructure, high penetration of smartphones and internet connectivity, and proactive government initiatives aimed at improving elderly care. Europe follows closely, driven by its aging population and robust digital health ecosystem. Meanwhile, the Asia Pacific region is poised for the fastest growth, fueled by rapid urbanization, increasing healthcare expenditures, and rising awareness about the benefits of digital health solutions. Latin America and the Middle East & Africa are also witnessing steady adoption, supported by improving healthcare access and growing investments in health technology. The regional outlook remains highly positive, with each geography presenting unique opportunities and challenges for market participants.

Elderly Social Engagement Robots Market Outlook

According to our latest research, the elderly social engagement robots market size reached USD 2.9 billion globally in 2024, propelled by rising demand for innovative eldercare solutions and rapid advancements in robotics and artificial intelligence. The market is expected to witness a robust CAGR of 17.8% during the forecast period, reaching an estimated USD 14.1 billion by 2033. This growth is underpinned by increasing geriatric populations, a surge in chronic health conditions among seniors, and a growing emphasis on improving quality of life and reducing loneliness in elderly communities. As per our latest research, the proliferation of AI-driven robotics and the integration of voice recognition technologies are key contributors to the market’s expansion, with significant investments from both public and private sectors driving innovation and adoption.

A primary growth factor for the elderly social engagement robots market is the global demographic shift towards an aging population. The United Nations projects that by 2050, people aged 65 and older will account for nearly 16% of the world’s population. This demographic trend is accelerating the need for advanced care solutions that address not only physical but also emotional and social well-being. Social engagement robots, equipped with conversational AI and interactive capabilities, are being deployed to combat isolation, depression, and cognitive decline in elderly individuals. Furthermore, the COVID-19 pandemic highlighted the vulnerability of seniors to social isolation, resulting in increased investments in robotic companions designed to foster interaction and provide daily support, thereby fueling market growth.

Technological advancements represent another significant driver for the elderly social engagement robots market. The integration of sophisticated AI algorithms, natural language processing, and sensor technologies has enabled robots to understand, interpret, and respond to human emotions and needs more effectively. Companies are focusing on developing robots that can perform a wide range of functions, from medication reminders to entertainment and therapeutic activities. This technological evolution has also made robots more accessible and affordable for home care and assisted living environments. Additionally, the rise of cloud-based platforms and IoT connectivity allows for real-time monitoring and remote control, enhancing the value proposition for both caregivers and elderly users.

Government initiatives and supportive regulatory frameworks are further driving the adoption of elderly social engagement robots. Many countries, especially in Asia Pacific and Europe, are implementing policies to encourage the use of digital health solutions and robotics in eldercare. Subsidies, pilot programs, and reimbursement models are being introduced to lower the financial barriers for adopting these technologies in public and private healthcare settings. Moreover, collaborations between technology providers, healthcare institutions, and academic researchers are accelerating the development and deployment of customized robotic solutions tailored to the unique cultural and social needs of elderly populations in different regions.

From a regional perspective, Asia Pacific holds a dominant position in the elderly social engagement robots market, driven by countries like Japan, China, and South Korea, which have some of the world’s fastest-aging populations. North America and Europe are also significant contributors, with increasing investments in smart healthcare infrastructure and a high prevalence of chronic diseases among seniors. The Middle East & Africa and Latin America are emerging markets, witnessing growing awareness and gradual adoption of robotic solutions in eldercare. Each region presents unique opportunities and challenges, shaped by cultural attitudes towards robotics, regulatory landscapes, and the availability of technological infrastructure.

Product Type Analysis

Background/Objectives: Physical inactivity, sedentary lifestyle, and impaired neuromuscular function increases fall risk and fractures in our aging population. Mind-body modalities, improve strength, balance and coordination, mitigating these risks. This study examined whether a manualized Medical Qigong protocol measurably improves balance, gait, and health self-confidence among older adults.Design: Randomized prospective cohort pre-post study with wait time control.Setting: Two martial arts centers in Massachusetts and Arizona.Participants: Ninety-five adults age ≥ 50 (mean age 68.6 y.o., range 51–96) were randomly assigned to an immediate start group (N = 53) or 4-week delayed start group (N = 43).Intervention: A 10 form qigong protocol taught over 12 weekly classes.Measurments: Primary outcome measures were the Community Balance and Mobility Scale (CBMS) and Activities-Specific Balance Confidence (ABC) Scale. Data was collected at baseline, 1-month and 4-months.Results: Both groups at both sites demonstrated improved balance and gait (CBMS + 11.9 points, p < 0.001). This effect was strongest in patients in their 60 s (CBMS +12.9 p < 0.01) and 70 s (CBMS + 14.3, p < 0.001), was equal across genders and socioeconomic status. Balance self-confidence did not significantly change (ABC + 0.9, p = 0.48), though several elements within ABC trended toward improvement [e.g., walk up/down ramp (p = 0.07), bend over/pick up (p = 0.09)]. Falls in the past year was inversely correlated with balance self-confidence (p = 0.01).Conclusion: A 12-week manualized Medical Qigong protocol significantly improved balance and gait and modestly improved balance self-confidence among older adults. Medical Qigong may be a useful clinical intervention for older adults at heightened risk for falls and related injuries.Clinical Trial Registration:www.ClinicalTrials.gov, identifier: NCT04430751.

IntroductionFrailty is one of the greatest challenges facing our aging population, as it can lead to adverse outcomes such as institutionalization, hospitalization, and mortality. However, the factors that are associated with frailty are poorly understood. We performed a systematic review of longitudinal studies in order to identify the sociodemographic, physical, biological, lifestyle-related, and psychological risk or protective factors that are associated with frailty among community-dwelling older adults.MethodsA systematic literature search was conducted in the following databases in order to identify studies that assessed the factors associated with of frailty among community-dwelling older adults: Embase, Medline Ovid, Web of Science, Cochrane, PsychINFO Ovid, CINAHL EBSCOhost, and Google Scholar. Studies were selected if they included a longitudinal design, focused on community-dwelling older adults aged 60 years and older, and used a tool to assess frailty. The methodological quality of each study was assessed using the Quality of Reporting of Observational Longitudinal Research checklist.ResultsTwenty-three studies were included. Significant associations were reported between the following types of factors and frailty: sociodemographic factors (7/7 studies), physical factors (5/6 studies), biological factors (5/7 studies), lifestyle factors (11/13 studies), and psychological factors (7/8 studies). Significant sociodemographic factors included older age, ethnic background, neighborhood, and access to private insurance or Medicare; significant physical factors included obesity and activities of daily living (ADL) functional status; significant biological factors included serum uric acid; significant lifestyle factors included a higher Diet Quality Index International (DQI) score, higher fruit/vegetable consumption and higher tertile of all measures of habitual dietary resveratrol exposure; significant psychological factors included depressive symptoms.ConclusionsA broad range of sociodemographic, physical, biological, lifestyle, and psychological factors show a longitudinal association with frailty. These factors should be considered when developing interventions aimed at preventing and/or reducing the burden associated with frailty among community-dwelling older adults.

The Intelligent Elderly Care Management market is emerging as a vital sector within the broader healthcare and technology landscape, focused on delivering enhanced care solutions to our aging population. This market encompasses a range of technologies, including telehealth services, wearable devices, robotic assista

About this dataset

Context

The dataset tabulates the Salado 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 Salado. 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 1,163 (50.74% 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 Salado population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Salado is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Salado 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 Salado Population by Age. You can refer the same here

Anti-Aging Market Outlook

According to our latest research, the global anti-aging market size reached USD 69.8 billion in 2024, reflecting robust consumer demand and technological advancements in aesthetic and wellness solutions. The market is expected to expand at a CAGR of 7.4% from 2025 to 2033, reaching a projected value of USD 132.6 billion by 2033. This impressive growth trajectory is primarily fueled by increasing consumer awareness, rising disposable incomes, and a growing population of aging individuals seeking preventive and corrective solutions for age-related concerns.

One of the primary growth factors driving the anti-aging market is the demographic shift towards an older population globally. As life expectancy rises, particularly in developed and emerging economies, there is a corresponding surge in demand for products and services that address visible signs of aging such as wrinkles, fine lines, age spots, and hair thinning. The baby boomer generation, along with Generation X, is particularly proactive about maintaining a youthful appearance, fueling the adoption of both invasive and non-invasive anti-aging treatments. Additionally, social media influence and the growing culture of self-care have significantly contributed to the normalization and desirability of anti-aging regimens, further propelling market growth.

Technological innovation is another critical driver of the anti-aging market. Advances in dermatological science, biotechnology, and cosmeceutical formulations have led to the development of highly effective products and devices. For example, the integration of retinoids, peptides, and hyaluronic acid in skincare products, as well as the advent of sophisticated injectables and minimally invasive devices, have broadened the spectrum of available anti-aging solutions. These innovations not only enhance efficacy but also improve safety profiles, making them more appealing to a wider consumer base. The rise of personalized skincare and the incorporation of artificial intelligence in product recommendations are further enhancing consumer engagement and satisfaction.

Another significant growth factor is the increasing accessibility and affordability of anti-aging products and services. The proliferation of online retail channels and specialty stores has democratized access to premium anti-aging solutions, allowing consumers from various economic backgrounds to participate in the market. Furthermore, strategic collaborations between pharmaceutical companies, cosmetic giants, and technology firms have resulted in the rapid commercialization of cutting-edge products. Aggressive marketing campaigns, influencer endorsements, and educational initiatives have also played a crucial role in destigmatizing the use of anti-aging products, making them integral to daily beauty and wellness routines across diverse age groups.

From a regional perspective, North America currently dominates the anti-aging market, accounting for the largest share due to its advanced healthcare infrastructure, high consumer spending power, and early adoption of innovative technologies. However, the Asia Pacific region is emerging as the fastest-growing market, driven by a burgeoning middle class, increasing beauty consciousness, and a rapidly aging population. Countries such as China, Japan, and South Korea are at the forefront of this growth, with local and international brands vying for market share through tailored products and aggressive expansion strategies. Europe also remains a significant market, benefiting from a strong tradition of skincare and wellness, as well as regulatory support for safe and effective anti-aging solutions.

Product Type Analysis

The anti-aging market is segmented by product type into skincare, haircare, injectables, devices, supplements, and others, each playing a pivotal role in shaping the industry’s landscape. Skincare remains the largest and most dynamic segment, accounting for a substantial portion of the overall market revenue. Consumers are increasingly seeking advanced creams, seru

About this dataset

Context

The dataset tabulates the Arnolds Park 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 Arnolds Park. 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 435 (47.75% 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 Arnolds Park population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Arnolds Park is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Arnolds Park 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 Arnolds Park Population by Age. You can refer the same here

This statistic depicts the age distribution in the United States from 2014 to 2024. In 2024, about 17.32 percent of the U.S. population fell into the 0-14 year category, 64.75 percent into the 15-64 age group and 17.93 percent of the population were over 65 years of age. The increasing population of the United States The United States of America is one of the most populated countries in the world, trailing just behind China and India. A total population count of around 320 million inhabitants and a more-or-less steady population growth over the past decade indicate that the country has steadily improved its living conditions and standards for the population. Leading healthier lifestyles and improved living conditions have resulted in a steady increase of the life expectancy at birth in the United States. Life expectancies of men and women at birth in the United States were at a record high in 2012. Furthermore, a constant fertility rate in recent years and a decrease in the death rate and infant mortality, all due to the improved standard of living and health care conditions, have helped not only the American population to increase but as a result, the share of the population younger than 15 and older than 65 years has also increased in recent years, as can be seen above.

About this dataset

Context

The dataset tabulates the Springvale town 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 Springvale town. 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 416 (48.26% 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 Springvale town population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Springvale town is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Springvale town 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 Springvale town Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Birmingham 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 Birmingham. 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 129,003 (64.36% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 Birmingham population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Birmingham is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Birmingham 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 Birmingham Population by Age. You can refer the same here