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.

About this dataset

Context

The dataset tabulates the Scranton 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 Scranton. 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 46,505 (61.13% 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 Scranton population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Scranton is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Scranton 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 Scranton Population by Age. You can refer the same here

Digital health has become increasingly vital for managing the needs of rapidly aging populations. This study reviews and maps research on digital health and aging in Asian countries from 2000 to 2024, identifying key opportunities, challenges, and emerging themes. Using a systematic and bibliometric approach, we screened 3,236 studies from Scopus and Web of Science and analyzed 753 eligible articles. Bibliometric techniques—including co-word, co-citation, and co-author analyses—were applied using the Bibliometrix R-package and its Biblioshiny interface to uncover the intellectual and thematic structure of the field. Our findings reveal a significant increase in research since 2018, driven by researchers based in China, Japan, South Korea, and Singapore, with a strong emphasis on telemedicine, mHealth, AI- and IoT-based systems, wearable devices, and smart home technologies. These digital health innovations enhance the quality of life, reduce fall risks, and improve care for frail older adults with chronic conditions in both clinical and community settings. However, significant gaps remain in Southeast and South Asia, and most studies are small-scale or pilot-based, which limits their generalizability. This review highlights the potential of digital health interventions to transform aging care in Asia and underscores the need for context-specific studies, multicounty collaborations, and supportive policy frameworks.

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 Middlesex 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 Middlesex 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 539,162 (62.58% 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 Middlesex County population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Middlesex County is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Middlesex 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 Middlesex County Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Portage 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 Portage 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 44,416 (63.11% 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 Portage County population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Portage County is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Portage 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 Portage County Population by Age. You can refer the same here

Senior Living Hospitality Services Market Outlook

According to our latest research, the global senior living hospitality services market size reached USD 53.1 billion in 2024, demonstrating robust expansion driven by demographic shifts and evolving consumer expectations. The market is projected to grow at a CAGR of 7.8% from 2025 to 2033, with the total market value expected to reach USD 105.4 billion by 2033. This growth is primarily fueled by the rising aging population, increasing focus on quality of life, and the integration of hospitality-driven services in senior living facilities, as per our most recent research findings.

A key growth factor for the senior living hospitality services market is the global demographic trend toward an aging population. The number of individuals aged 65 and above is growing rapidly, particularly in developed nations such as the United States, Japan, and countries across Western Europe. This demographic shift has heightened demand for specialized living environments that not only provide healthcare but also deliver high-quality hospitality services, such as personalized dining, housekeeping, and wellness programs. Seniors and their families are increasingly seeking communities that offer comfort, convenience, and social engagement, which has prompted operators to enhance their service offerings. The convergence of healthcare and hospitality is creating new business models, driving investments in facility upgrades, and fostering a competitive environment focused on service excellence.

Another significant driver is the evolving expectations of the senior population and their families. TodayÂ’s seniors are more discerning and value-driven, seeking not just medical care but also enriched lifestyle experiences. This has led to the proliferation of amenities such as concierge services, transportation, fitness and wellness programs, and gourmet dining options within senior living communities. The integration of technology, such as smart home features and digital concierge platforms, is further elevating the standard of hospitality services. Operators are leveraging these trends to differentiate their offerings and attract a broader clientele, including active seniors who prioritize independence and social connectivity. This shift in consumer preferences is compelling service providers to continuously innovate and personalize their services, thereby fueling market expansion.

The rising prevalence of chronic diseases and mobility issues among the elderly is also contributing to the growth of the senior living hospitality services market. As seniors require more assistance with daily living activities, there is a growing demand for comprehensive service packages that combine medical support with hospitality-driven care. Assisted living and memory care facilities, in particular, are investing heavily in staff training and facility enhancements to deliver a seamless blend of healthcare and hospitality. Additionally, government initiatives and favorable policies aimed at improving senior care infrastructure are supporting market growth, particularly in emerging economies. These factors, combined with increasing private sector investment, are expected to sustain the upward trajectory of the market over the forecast period.

From a regional perspective, North America continues to dominate the senior living hospitality services market, accounting for the largest share in 2024. The region benefits from advanced healthcare infrastructure, high disposable income, and a well-established senior living industry. Europe follows closely, with significant investments in senior care and a rapidly aging population. Meanwhile, the Asia Pacific region is emerging as a key growth area, driven by rising awareness, increasing urbanization, and supportive government policies. Latin America and the Middle East & Africa are also witnessing gradual growth, supported by demographic changes and improving economic conditions. Each region presents unique opportunities and challenges, shaping the competitive landscape and influencing market dynamics.

Senior Care Services are becoming increasingly vital as the global population ages. These services encompass a wide range of support options designed to enhance the quality of life for seniors, including personalized healthcare, social engagement activ

Senior Housing Insurance Market Outlook

According to our latest research, the senior housing insurance market size reached USD 4.2 billion globally in 2024, reflecting robust activity across diverse insurance segments. The market is experiencing a healthy compound annual growth rate (CAGR) of 7.1% from 2025 to 2033. By the end of 2033, the global senior housing insurance market is anticipated to reach approximately USD 7.8 billion, underpinned by rising demand for specialized coverage solutions as the global elderly population continues to expand. As per our latest research, this growth is primarily driven by increasing regulatory requirements, the complexity of care environments, and the growing awareness among facility operators regarding risk management.

One of the primary growth factors for the senior housing insurance market is the rapidly aging global population. The proportion of individuals aged 65 and above is increasing at an unprecedented rate, especially in developed economies such as the United States, Japan, and countries in Western Europe. This demographic shift is propelling demand for various types of senior housing, including assisted living, independent living, and memory care facilities. As more facilities are constructed and existing ones expand their capacity, the need for comprehensive insurance solutions addressing property, liability, workers’ compensation, and business interruption risks is rising. Furthermore, the growing complexity of care, including the integration of advanced medical technologies and personalized care plans, heightens risk exposure and necessitates more sophisticated insurance products tailored to the unique needs of senior housing providers.

Regulatory pressures and evolving compliance standards are also significant drivers shaping the senior housing insurance market. Governments and regulatory bodies are imposing stricter guidelines to ensure the safety and well-being of residents in senior housing communities. These regulations often require facilities to demonstrate adequate insurance coverage as a prerequisite for operation, particularly in areas such as liability and workers’ compensation. Additionally, the increasing frequency and severity of natural disasters and unforeseen events, such as the COVID-19 pandemic, have underscored the importance of robust insurance coverage for business continuity. These factors are compelling facility operators to seek comprehensive and flexible insurance policies that can adapt to changing regulatory landscapes and operational risks.

Another key growth factor is the rising awareness among senior housing operators regarding the importance of risk management and insurance planning. Facility owners and managers are increasingly recognizing that insurance is not only a regulatory requirement but also a strategic tool for safeguarding assets, reputation, and the well-being of residents and staff. The proliferation of insurance brokers and agents specializing in senior housing has made it easier for operators to access tailored insurance solutions that address the specific risks associated with different facility types and care models. Moreover, advancements in insurance technology, such as digital policy management and risk assessment tools, are streamlining the process of obtaining and managing insurance, thereby enhancing market growth.

From a regional perspective, North America continues to dominate the senior housing insurance market, accounting for the largest share in 2024. This dominance is attributed to the region’s well-established senior housing infrastructure, high insurance penetration rates, and stringent regulatory frameworks. Europe follows closely, driven by a rapidly aging population and increasing investments in senior care facilities. The Asia Pacific region is emerging as a lucrative market, propelled by growing awareness, rising disposable incomes, and government initiatives aimed at improving elderly care. Latin America and the Middle East & Africa are also witnessing steady growth, although market maturity and insurance penetration rates remain comparatively lower. Overall, regional dynamics are shaped by demographic trends, regulatory environments, and the adoption of advanced care models.

Coverage Type Analysis

The coverage type segment in the senior housing insurance market encompasses property insurance, liability insurance, workers’ compensation,

Senior Nutrition Market Outlook

According to our latest research, the global senior nutrition market size reached USD 29.6 billion in 2024, reflecting robust demand for specialized nutritional products among the aging population. The market is expected to expand at a CAGR of 6.8% during the forecast period, reaching USD 57.8 billion by 2033. This growth is primarily driven by increasing awareness about age-specific dietary needs, rising prevalence of chronic diseases, and a surge in the global elderly population. The senior nutrition market is witnessing a paradigm shift as manufacturers and healthcare professionals focus on tailored, science-backed solutions to promote healthy aging.

Several key factors are fueling the rapid expansion of the senior nutrition market. Firstly, the demographic shift towards an increasingly aged population is a major driver. According to the United Nations, the number of people aged 60 and above is projected to double by 2050, reaching over 2.1 billion globally. This demographic trend is pushing governments, healthcare providers, and food manufacturers to prioritize the nutritional needs of seniors. As seniors face unique health challenges such as bone density loss, weakened immunity, and reduced digestive efficiency, the demand for targeted nutritional solutions is surging. Furthermore, increasing healthcare expenditure and a rising focus on preventive healthcare are prompting more seniors and their caregivers to invest in functional foods, dietary supplements, and fortified beverages designed specifically for their age group.

Another significant growth factor is the advancement in nutritional science and product innovation. The senior nutrition market is benefiting from a wave of research on micronutrients, bioactive compounds, and personalized nutrition. Companies are leveraging these insights to develop products that address specific health concerns such as bone health, cardiac wellness, cognitive function, and immune support. The integration of novel ingredients like probiotics, omega-3 fatty acids, and plant-based proteins is enhancing the efficacy and appeal of senior nutrition products. Additionally, the emergence of convenient delivery formats—such as ready-to-drink shakes, fortified yogurts, and easy-to-swallow capsules—is making it easier for seniors to incorporate these products into their daily routines, thereby supporting market growth.

Digital transformation and the rise of e-commerce are also reshaping the senior nutrition market landscape. Online platforms are making it easier for seniors and their families to access a wide range of nutritional products, compare formulations, and read reviews. Telehealth and digital nutrition counseling services are providing personalized dietary recommendations, further driving product adoption. The COVID-19 pandemic accelerated the shift towards digital channels, with online sales of senior nutrition products experiencing double-digit growth rates in many regions. This trend is expected to persist, with manufacturers and retailers investing in user-friendly websites, subscription models, and targeted digital marketing campaigns to reach the senior demographic.

In recent years, Senior Nutrition Meal Delivery services have emerged as a convenient and effective solution to meet the dietary needs of the elderly. These services offer a range of benefits, including the delivery of freshly prepared, nutritionally balanced meals directly to seniors' homes. This approach not only ensures that seniors receive the essential nutrients they need but also addresses common challenges such as limited mobility and difficulty in meal preparation. By providing customized meal plans tailored to individual dietary requirements, these services are enhancing the quality of life for many seniors, allowing them to maintain independence while ensuring their nutritional needs are met. The growing popularity of meal delivery services is indicative of a broader trend towards personalized and convenient nutrition solutions in the senior market.

Regionally, North America currently dominates the senior nutrition market, accounting for the largest share due to its advanced healthcare infrastructure, high awareness levels, and significant elderly population. Europe follows closely, supported by robust government initiatives and a growing focus on heal

Long Term Care Market Outlook

According to our latest research, the global Long Term Care market size reached USD 1,180.5 billion in 2024, propelled by a robust demand for diversified care solutions. The market is projected to expand at a CAGR of 6.4% during the forecast period, reaching an estimated USD 2,060.7 billion by 2033. This growth trajectory is driven by the increasing aging population, rising prevalence of chronic diseases, and a pronounced shift towards home-based and personalized care. As per our analysis, the integration of advanced technologies and evolving payer models are further accelerating the expansion of the long term care sector globally.

One of the primary growth factors for the Long Term Care market is the demographic shift towards an older population worldwide. With the global population aged 65 and above expected to double by 2050, the demand for continuous medical and non-medical care services is experiencing an unprecedented surge. This demographic trend is particularly evident in developed economies such as the United States, Japan, and Western Europe, where life expectancy has steadily increased due to advancements in healthcare infrastructure and medical technologies. Consequently, the need for comprehensive long-term care services, including home healthcare, nursing care, and assisted living facilities, has escalated, fostering significant market expansion.

Another significant growth driver is the rising prevalence of chronic illnesses and disabilities among both elderly and adult populations. Non-communicable diseases such as diabetes, cardiovascular diseases, and neurological disorders require ongoing management, which is often best provided through long-term care settings. Furthermore, the increasing awareness and acceptance of hospice and palliative care services have contributed to the diversification of care offerings. The market is also benefiting from government initiatives and policy reforms aimed at subsidizing long-term care costs and improving accessibility, especially for vulnerable populations. These factors collectively create a favorable environment for the growth of the long term care market.

Technological advancements are transforming the landscape of the Long Term Care market, making care delivery more efficient, personalized, and accessible. The adoption of telehealth, remote patient monitoring, and electronic health records has enhanced the quality of care while reducing operational costs for providers. These innovations enable care providers to monitor patients remotely, manage chronic conditions more effectively, and deliver timely interventions, which is particularly crucial for home healthcare and assisted living segments. Additionally, the emergence of AI-driven predictive analytics is supporting proactive care management, further driving market growth by reducing hospital readmissions and improving patient outcomes.

Elder Care and Geriatrics Services are becoming increasingly vital as the global population ages. These services encompass a wide range of care options designed to meet the unique needs of older adults, from preventive care and wellness programs to chronic disease management and end-of-life care. The focus on elder care is driven by the desire to enhance the quality of life for seniors, allowing them to age with dignity and independence. As the demand for these services grows, providers are expanding their offerings to include specialized geriatric assessments, memory care units, and support for family caregivers. This expansion is supported by technological innovations that facilitate remote monitoring, telehealth consultations, and personalized care plans, ensuring that elderly individuals receive the comprehensive care they need.

From a regional perspective, North America continues to dominate the Long Term Care market, supported by a well-established healthcare infrastructure, high healthcare expenditure, and favorable reimbursement policies. Europe follows closely, with significant investments in elder care and supportive government regulations. The Asia Pacific region is witnessing the fastest growth, fueled by rapid urbanization, increasing disposable incomes, and a growing elderly population. Latin America and the Middle East & Africa are also showing steady progress, although market penetration remains lower due to infrastructural and economic chal

About this dataset

Context

The dataset tabulates the Mankato 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 Mankato. 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 31,455 (70.08% 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 Mankato population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Mankato is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Mankato 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 Mankato Population by Age. You can refer the same here

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

In 2020, the child and old-age dependency ratios in China ranged at around **** and **** percent respectively, summing up to a total dependency ratio of **** percent. While the child dependency ratio is expected to drop slightly and then remain stable, the old-age dependency ratio will rise steadily in coming decades. Age demographics in China With a populace of 1.4 billion people by the end of 2023, China stands the country with the second largest population in the world. Since its foundation in 1949, the PRC has experienced high population growth. With the beginning of the reform period in the end of the 1970s, population growth decreased steadily. Finally, China's population size peaked in 2021 and entered a declining path. Falling birth rates in combination with higher life expectancy led to a continuously increasing median age of the population in China over the past five decades. The median age of the Chinese population is expected to rise further and to reach 50 years by the middle of the century. Development of the dependency ratio China has enjoyed a continuously growing work force since the late 1970s. Simultaneously, the total dependency ratio in China decreased from ** percent in 1970 to about ** percent in 2010. However, an important turning point was reached in 2011, as the total dependency ratio was set to increase again after 30 years of population bonus. As can be seen from the above graph, until 2100, child-dependency is estimated to remain steady around ** to ** percent. Old-age dependency on the other hand is expected to grow from about ** percent in 2010 to ** percent in 2060, implying a growing number of senior citizens that need support from the working population. The shift of age demographics in the near future in China is bound to have ineligible economical and social impacts. To learn more about age demographics in China, take a look at our dossier aging population in China.

About this dataset

Context

The dataset tabulates the Brigham City 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 Brigham City. 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 11,182 (56.49% 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 Brigham City population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Brigham City is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Brigham City 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 Brigham City Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Nicholson 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 Nicholson. 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 346 (55.10% 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 Nicholson population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Nicholson is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Nicholson 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 Nicholson 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

About this dataset

Context

The dataset tabulates the Jefferson 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 Jefferson 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 71,291 (61.39% 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 Jefferson County population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Jefferson County is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Jefferson 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 Jefferson County Population by Age. You can refer the same here

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

About this dataset

Context

The dataset tabulates the Port St. Lucie 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 Port St. Lucie. 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 117,301 (58.02% 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 Port St. Lucie population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Port St. Lucie is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Port St. Lucie 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 Port St. Lucie Population by Age. You can refer the same here