Retirement Communities Market Outlook

The global retirement communities market size was valued at approximately USD 250 billion in 2023 and is projected to reach around USD 400 billion by 2032, growing at a CAGR of about 5%. This growth is primarily driven by the aging global population, an increase in life expectancy, and changing lifestyle preferences among seniors. The shift towards comprehensive care and the integration of health and wellness services within retirement communities have further fueled this market's expansion. As societies worldwide continue to experience demographic shifts, the demand for retirement communities that offer a blend of healthcare, hospitality, and recreational amenities is expected to surge, underpinning the robust growth trajectory of the sector.

The burgeoning aging population is one of the primary growth factors for the retirement communities market. As advances in healthcare continue to improve life expectancy, a significant proportion of the global population is projected to fall within the senior age bracket, necessitating adequate living solutions for them. This demographic shift is particularly pronounced in developed regions such as North America and Europe, where a considerable percentage of the population is transitioning into retirement age. Additionally, emerging economies in Asia Pacific are also witnessing an increase in the elderly population, driven by improved healthcare infrastructure and living standards. This demographic evolution necessitates the development of retirement communities equipped with facilities that cater to both the healthcare and lifestyle needs of seniors.

Another significant growth factor is the increased financial independence and spending power among seniors. With many from the baby boomer generation having accrued substantial savings and investments, there is a growing willingness to spend on quality living environments that provide comfort, security, and access to healthcare and recreational activities. This financial capability, coupled with the desire for a community living environment that offers social interaction and reduces isolation, is a key driver for the retirement communities market. Furthermore, these communities are increasingly incorporating technology to enhance the quality of life for residents, with features such as telemedicine, smart home technologies, and digital health monitoring, which are appealing to the tech-savvy senior demographic.

Moreover, the changing societal norms and lifestyle preferences among the elderly are also contributing to the market's growth. TodayÂ’s seniors are more active and health-conscious than ever before, seeking retirement communities that offer wellness programs, fitness centers, and social activities that align with their lifestyle choices. The emphasis on holistic well-being has led to a rise in integrated community models that provide a continuum of care, from independent living to assisted living and nursing care, allowing seniors to age in place with dignity and peace of mind. This trend is expected to intensify in the coming years, further propelling the growth of the retirement communities market globally.

In recent years, the concept of Smart Communities has emerged as a transformative force within the retirement sector. These communities leverage advanced technologies to create interconnected environments that enhance the quality of life for residents. By integrating smart home devices, IoT solutions, and data-driven services, Smart Communities offer personalized and efficient living experiences. This technological integration not only improves safety and convenience for seniors but also promotes sustainable living practices. As the demand for tech-savvy solutions grows, retirement communities are increasingly adopting smart technologies to meet the evolving expectations of their residents, positioning themselves at the forefront of innovation in senior living.

Regionally, North America currently holds the largest share of the retirement communities market, driven by a well-established infrastructure, high disposable incomes, and a significant aging population. Europe follows closely, benefiting from similar demographic trends and a strong emphasis on social welfare programs for the elderly. Meanwhile, the Asia Pacific region is anticipated to exhibit the highest growth rate over the forecast period, fueled by rapid urbanization, economic growth, and increasing healthcare investments. Countries such as China, Japan, and India are at the forefront of this expansion, as they adapt to th

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.

This web map indicates the annual compound rate of total population change in the United States from 2000 to 2010. Total Population is the total number of residents in an area. Residence refers to the "usual place" where a person lives. Total Population for 2000 is from the U.S. Census 2000. The 2010 Total Population variable is estimated by Esri's proven annual demographic update methodology that blends GIS with statistical technology and a unique combination of data sources.The map is symbolized so that you can easily distinguish areas of population growth (i.e. shades of green) from areas of population decline (i.e. shades of red). It uses a 3 D effect to further emphasize those trends. The map reveals interesting patterns of recent population change in various regions and communities across the United States.The map shows population change at the County and Census Tract levels. The geography depicts Counties at 25m to 750k scale, Census Tracts at 750k to 100k scale.Esri's Updated Demographics (2010/2015) – Population, age, income, sex, race, marital status and other variables are among the variables included in the database. Each year, Esri's data development team employs its proven methodologies to update more than 2,000 demographic variables for a variety of geographies. See Updated Demographics for more information.

As of 2022, Indonesia’s senior population amounted to nearly ** million. The number of elderly citizens has gradually increased over the past decade. As Indonesia is entering a demographic dividend period where a working-age population dominates the country, it is expected that by the end of this phase, Indonesia will see a surge in the share of its old-age population.

Indonesia’s demographic shift Contrary to some Asian countries that are trying to accelerate their population growth, the Indonesian government has been trying to persuade its citizens to have fewer children. Many initiatives in promoting family planning and later marriages have led to a more controlled population growth. However, the country is expected to face a demographic shift in the upcoming years, with projections indicating that the elderly population will make up ** percent of the country’s population in 2045. Considering this, the Indonesian government has been reassessing its family planning initiatives to better prepare for the risks of an aging population.

Retirement readiness among the society  Indonesia still has a relatively low literacy rate for pension funds and a significantly lower inclusion rate of only slightly over five percent. In conjunction with this, only roughly ** percent of the elderly households in Indonesia were part of social security programs, and a large share of the country’s senior citizens live in three-generation households. These concerns tend to expose Indonesia to higher dependency risks among its aging population. Indeed, it is crucial to address the need to increase awareness of and enhance accessibility to pension funds or social security programs for adequate retirement planning in Indonesian society.

Annual Resident Population Estimates, Estimated Components of Resident Population Change, and Rates of the Components of Resident Population Change; for the United States, States, Metropolitan Statistical Areas, Micropolitan Statistical Areas, Counties, and Puerto Rico: April 1, 2010 to July 1, 2019 // Source: U.S. Census Bureau, Population Division // The contents of this file are released on a rolling basis from December through March. // Note: Total population change includes a residual. This residual represents the change in population that cannot be attributed to any specific demographic component. // Note: The estimates are based on the 2010 Census and reflect changes to the April 1, 2010 population due to the Count Question Resolution program and geographic program revisions. // The Office of Management and Budget's statistical area delineations for metropolitan, micropolitan, and combined statistical areas, as well as metropolitan divisions, are those issued by that agency in September 2018. // Current data on births, deaths, and migration are used to calculate population change since the 2010 Census. An annual time series of estimates is produced, beginning with the census and extending to the vintage year. The vintage year (e.g., Vintage 2019) refers to the final year of the time series. The reference date for all estimates is July 1, unless otherwise specified. With each new issue of estimates, the entire estimates series is revised. Additional information, including historical and intercensal estimates, evaluation estimates, demographic analysis, research papers, and methodology is available on website: https://www.census.gov/programs-surveys/popest.html.

Whites have become decreasingly likely to support the Democratic Party. I show this shift is being driven by two mechanisms. The first mechanism is the process of ideological sorting. The Democratic Party has lost support among conservative whites because the relationships between partisanship, voting behavior, and policy orientations have strengthened. The second mechanism relates to demographic changes. The growth of liberal minority populations has shifted the median position on economic issues to the left and away from the median white citizen’s position. The parties have responded to these changes by shifting their positions and whites have become less likely to support the Democratic Party as a result. I test these explanations using 40 years of ANES and DW-NOMINATE data. I find that whites have become 7.7-points more likely vote for the Republican Party and mean white partisanship has shifted .25 points in favor of the Republicans as a combined result of both mechanisms.

Annual Resident Population Estimates, Estimated Components of Resident Population Change, and Rates of the Components of Resident Population Change: April 1, 2010 to July 1, 2017 // Source: U.S. Census Bureau, Population Division // The contents of this file are released on a rolling basis from December through March. // Note: Total population change includes a residual. This residual represents the change in population that cannot be attributed to any specific demographic component. See the Population Estimates Glossary at https://www.census.gov/programs-surveys/popest/about/glossary.html. // Net international migration in the United States includes the international migration of both native and foreign-born populations. Specifically, it includes: (a) the net international migration of the foreign born, (b) the net migration between the United States and Puerto Rico, (c) the net migration of natives to and from the United States, and (d) the net movement of the Armed Forces population between the United States and overseas. // The estimates are based on the 2010 Census and reflect changes to the April 1, 2010 population due to the Count Question Resolution program.// The Office of Management and Budget's statistical area delineations for metropolitan, micropolitan, and combined statistical areas, as well as metropolitan divisions, are those issued by that agency in July 2015. // For detailed information about the methods used to create the population estimates, see https://www.census.gov/programs-surveys/popest/technical-documentation/methodology.html. // Each year, the Census Bureau's Population Estimates Program (PEP) utilizes current data on births, deaths, and migration to calculate population change since the most recent decennial census, and produces a time series of estimates of population. The annual time series of estimates begins with the most recent decennial census data and extends to the vintage year. The vintage year (e.g., Vintage 2017) refers to the final year of the time series. The reference date for all estimates is July 1, unless otherwise specified. With each new issue of estimates, the Census Bureau revises estimates for years back to the last census. As each vintage of estimates includes all years since the most recent decennial census, the latest vintage of data available supersedes all previously produced estimates for those dates. The Population Estimates Program provides additional information including historical and intercensal estimates, evaluation estimates, demographic analysis, and research papers on its website: https://www.census.gov/programs-surveys/popest.html.

The highest natural growth in the observed period in Poland occurred in 1955, when the population increased by ******* (**** percent). Since then, natural growth has fluctuated, reaching a definite downward trend. In 2024, the Polish population decreased by *** percent. Factors contributing to population decline Several factors are driving Poland's population decline. The fertility rate in 2023 reached a low of **** children per woman, contributing to the population decrease that year. This decline is further compounded by emigration trends, although recent years have seen a slight positive shift in net migration. In 2023, the number of immigrants to Poland increased by ***** percent compared to the previous year, reaching nearly ******. Current population structure As of 2023, Poland's population stood at over 37.6 million, with a notable gender imbalance of **** million more women than men. Region-wise, the *********** Voivodeship was the most populous region in 2023, with around *** million inhabitants, despite experiencing a slight decrease in population. That same year, the two least populous regions were Lubuskie and Opolskie Voivodeships, with populations under ****million.

About this dataset

Context

The dataset tabulates the South Lebanon population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of South Lebanon across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of South Lebanon was 6,793, a 1.45% increase year-by-year from 2022. Previously, in 2022, South Lebanon population was 6,696, an increase of 1.58% compared to a population of 6,592 in 2021. Over the last 20 plus years, between 2000 and 2023, population of South Lebanon increased by 4,234. In this period, the peak population was 6,793 in the year 2023. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the South Lebanon is shown in this column.
• Year on Year Change: This column displays the change in South Lebanon population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

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 South Lebanon Population by Year. You can refer the same here

Demographic change in Europe. Topics: most pressing demographic challenges in the own country; most important threats to the EU’s economic prosperity and competitiveness; attitude towards the following statements about the current demographic trends in the EU: contribute to labour shortages, contribute to skills mismatches, put the EU´s long-term economic prosperity and competitiveness at risk, undermine long-term sustainability of public finances, intensify differences between and within EU member states, affect personal prospects and future possibilities; preferred level of action to manage demographic change: EU level, member state level, both levels, measures to manage demographic change should not be a political priority; attitude towards the following statement: managing demographic change requires close cooperation between all relevant levels of government; most effective actions to address the consequences of a shrinking workforce in the own country: facilitate the combination of paid work and private life, facilitate longer working lives, reform pensions systems, facilitate labour mobility and migration to attract talent from abroad, address youth unemployment, support regions affected by depopulation, other; preferred governmental actions in the own country to enable the current and future generations to lead an active life in old age: support lifelong education and training, adjust workplace conditions to the needs of older persons, allow people to continue working past the official retirement age if they want to, make sure pensions are high enough, provide high-quality and affordable health care services, provide high-quality and affordable long-term care services, provide adequate and affordable housing, other; attitude towards the following statement: digital technologies, robotics and artificial intelligence can help address the consequences of a shrinking and ageing population, including possible labour shortages. Demography: age; sex; nationality; financial difficulties; age at end of education; occupation; professional position; type of community; household composition and household size; own a mobile phone and fixed (landline) phone. Additionally coded was: respondent ID; country; type of phone line; region; nation group; weighting factor. Demographischer Wandel in Europa. Themen: dringlichste demographische Herausforderungen im eigenen Land; wichtigste Bedrohungen für den wirtschaftlichen Wohlstand und die Wettbewerbsfähigkeit der EU; Einstellung zu den folgenden Aussagen über aktuelle demographische Trends in der EU: tragen zum Arbeitskräftemangel bei, tragen zum Qualifikationsungleichgewicht bei, sind eine Gefahr für den langfristigen wirtschaftlichen Wohlstand und die Wettbewerbsfähigkeit der EU, unterminieren die langfristige Nachhaltigkeit öffentlicher Finanzen, verstärken die Unterschiede zwischen und innerhalb der EU-Mitgliedstaaten, haben Auswirkungen auf persönliche Aussichten und künftige Möglichkeiten; präferierte Handlungsebene beim Umgang mit dem demographischen Wandel: EU-Ebene, Ebene der Mitgliedstaaten, beide Ebenen, Maßnahmen zum Umgang mit dem demographischen Wandel sollten keine politische Priorität haben; Einstellung zu der folgenden Aussage: Umgang mit demographischem Wandel verlangt enge Zusammenarbeit aller relevanten Regierungsebenen; effektivste Maßnahmen beim Umgang mit den Folgen einer schrumpfenden Erwerbsbevölkerung im eigenen Land: Erleichterung der Vereinbarkeit von bezahlter Arbeit und Privatleben, Erleichterung von verlängerten Erwerbsbiografien, Reform der Rentensysteme, Erleichterung der Mobilität und Migration von Arbeitskräften zur Rekrutierung von Fachkräften aus dem Ausland, Bekämpfung der Jugendarbeitslosigkeit, Unterstützung von von Entvölkerung betroffenen Regionen, andere; präferierte Regierungsmaßnahmen im eigenen Land zur Förderung eines aktiven Lebens im Alter für heutige und künftige Generationen: Förderung von lebenslanger Bildung und Ausbildung, Anpassung der Arbeitsplatzbedingungen an die Bedürfnisse älterer Menschen, auf Wunsch Ermöglichen von Arbeit über das offizielle Rentenalter hinaus, Sicherstellung einer ausreichenden Rentenhöhe, Bereitstellung qualitativ hochwertiger und erschwinglicher Gesundheitsversorgung, Bereitstellung qualitativ hochwertiger und erschwinglicher pflegerischer Langzeitversorgung, Bereitstellung angemessener und bezahlbarer Wohnmöglichkeiten, andere; Einstellung zu der folgenden Aussage: Digitale Technologien, Robotik und künstliche Intelligenz können beim Umgang mit den Folgen einer schrumpfenden und alternden Bevölkerung (inkl. Arbeitskräftemangel) hilfreich sein. Demographie: Alter; Geschlecht; Staatsangehörigkeit; finanzielle Schwierigkeiten; Alter bei Beendigung der Ausbildung; Beruf; berufliche Stellung; Urbanisierungsgrad; Haushaltszusammensetzung und Haushaltsgröße; Besitz eines Mobiltelefons; Festnetztelefon im Haushalt. Zusätzlich verkodet wurde: Befragten-ID; Land; Interviewmodus (Mobiltelefon oder Festnetz); Region; Nationengruppe; Gewichtungsfaktor.

Geriatric Software Market Outlook

The global geriatric software market size is poised to experience robust growth from 2023 to 2032, with projections indicating an increase from USD 2.5 billion in 2023 to approximately USD 5.8 billion by 2032. This growth is driven by a compound annual growth rate (CAGR) of 9.5%. The increasing prevalence of geriatric populations worldwide, coupled with the rising need for efficient healthcare management solutions, are pivotal factors fueling the expansion of this market. As the number of elderly individuals continues to rise, the demand for innovative software solutions that cater specifically to the needs of this demographic is expected to grow substantially.

One of the primary growth factors for the geriatric software market is the global demographic shift towards an aging population. Advances in medical science have increased life expectancy, leading to a larger proportion of older adults who require specialized care. This demographic trend is exerting pressure on healthcare systems to adapt and provide solutions that cater to the unique needs of geriatric patients. Geriatric software solutions, such as electronic health records and medication management systems, are increasingly being adopted to enhance the efficiency of care delivery, improve patient outcomes, and reduce healthcare costs associated with managing chronic conditions prevalent in the elderly population.

Technological advancements in healthcare IT are also significantly contributing to the growth of the geriatric software market. Innovations such as telemedicine, remote patient monitoring, and mobile health applications are becoming integral components of modern healthcare systems. These technologies enable healthcare providers to offer personalized and timely care to elderly patients, especially those residing in remote or underserved areas. The integration of artificial intelligence and machine learning algorithms into geriatric software is further enhancing the ability to predict and manage geriatric conditions, thereby facilitating early intervention and improving the quality of life for elderly individuals.

Another critical factor driving growth in this market is the increasing awareness and adoption of preventive healthcare measures among the elderly and their caregivers. There is a growing emphasis on proactive healthcare management, with seniors and their families actively seeking solutions that enable them to monitor health metrics, manage medications, and access medical advice remotely. This shift towards self-care and remote monitoring is encouraging healthcare providers to invest in geriatric software solutions that empower patients and caregivers to take control of their health, thereby fostering independence and reducing hospital admissions and readmissions.

Regionally, North America continues to dominate the geriatric software market due to its advanced healthcare infrastructure and widespread adoption of digital health solutions. The presence of major market players and supportive government initiatives aimed at improving elderly care further bolster the market in this region. Europe is also witnessing significant growth, driven by favorable healthcare policies and an increasing focus on elderly well-being. Meanwhile, the Asia Pacific region is expected to experience the highest growth rate during the forecast period, attributed to its rapidly aging population and rising investments in healthcare technology. Latin America and the Middle East & Africa are also anticipated to witness steady growth, supported by improving healthcare facilities and an increasing awareness of the benefits of geriatric software solutions.

Product Type Analysis

Electronic Health Records (EHRs) are an integral component of the geriatric software market, largely due to their role in streamlining patient information management. EHRs facilitate the seamless recording, sharing, and updating of patient data among healthcare providers, which is crucial for ensuring continuity and quality of care for elderly patients who may have multiple healthcare providers. The integration of EHRs with other healthcare systems allows for a more holistic view of a patient’s medical history, which is particularly important in managing age-related diseases. The demand for EHRs is driven by the need for efficient data management, reduction in paperwork, and improved communication among healthcare professionals.

Telemedicine software is another significant segment within the geriatric software market. It addresses the need for remote care solutions, especially given the mobility challenges

About this dataset

Context

The dataset tabulates the Morrison County population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Morrison County across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Morrison County was 34,250, a 0.04% increase year-by-year from 2022. Previously, in 2022, Morrison County population was 34,237, an increase of 0.46% compared to a population of 34,079 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Morrison County increased by 2,437. In this period, the peak population was 34,250 in the year 2023. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Morrison County is shown in this column.
• Year on Year Change: This column displays the change in Morrison County population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Morrison County Population by Year. You can refer the same here

Gerontology Aging Market Outlook

The global gerontology aging market size was valued at USD 780 billion in 2023 and is projected to reach USD 1,350 billion by 2032, growing at a CAGR of 6.3% during the forecast period. This robust growth is primarily driven by the increasing aging population worldwide, advancements in medical technology, and rising awareness about the importance of elderly care.

One of the primary growth factors for the gerontology aging market is the rapidly increasing elderly population across the globe. With advancements in healthcare, life expectancy has significantly increased, resulting in a higher percentage of the population being aged 65 and above. The World Health Organization (WHO) estimates that by 2050, the global population aged 60 years and older will total 2 billion, up from 900 million in 2015. This demographic shift necessitates enhanced geriatric care services and facilities, thus fueling market growth.

Another significant driver is the rising prevalence of chronic diseases among the elderly. Conditions such as arthritis, diabetes, cardiovascular diseases, and dementia are more common in older adults. Managing these chronic illnesses requires specialized care and services, which contributes to the expansion of the gerontology aging market. Additionally, the increasing awareness and focus on preventive healthcare measures among the elderly population is pushing the demand for wellness and prevention services.

Technological advancements in healthcare are also playing a crucial role in the growth of the gerontology aging market. Innovations such as telemedicine, remote patient monitoring, and electronic health records are enhancing the quality of care for the elderly. These technologies enable continuous monitoring of health conditions, timely medical interventions, and better management of chronic diseases, thereby improving the overall healthcare experience for the aging population.

Regionally, North America holds a significant share of the gerontology aging market due to its advanced healthcare infrastructure, high healthcare expenditure, and the presence of major market players. Europe follows closely, driven by a large elderly population and government initiatives supporting elderly care. The Asia Pacific region is expected to witness the highest growth rate during the forecast period, attributed to the increasing aging population, improving healthcare infrastructure, and rising healthcare awareness.

Service Type Analysis

The gerontology aging market is segmented by service type into home care, adult day care, and institutional care. Each of these services addresses different needs and preferences of the elderly population, contributing uniquely to the market's growth.

Home care services are gaining popularity due to the preference for aging in place among the elderly. These services include personal care, medical care, and assistance with daily activities, allowing older adults to stay in their homes while receiving necessary support. The convenience and comfort of home care, coupled with technological advancements such as telehealth and home monitoring systems, are driving the growth of this segment.

Adult day care services provide a safe and supportive environment for elderly individuals during the day, offering social activities, meals, and healthcare services. These facilities are particularly beneficial for older adults who require supervision and assistance but do not need full-time residential care. The increasing number of dual-income families and the need for respite care for caregivers are significant factors contributing to the growth of the adult day care segment.

Institutional care, which includes nursing homes and assisted living facilities, remains a crucial component of the gerontology aging market. These institutions provide comprehensive care for elderly individuals who require constant medical attention and support. The demand for institutional care is driven by the rising prevalence of chronic diseases and the need for specialized care that cannot be provided at home. Additionally, the development of advanced facilities with specialized units for conditions like dementia and Alzheimer’s disease is boosting this segment.

Report Scope

About this dataset

Context

The dataset tabulates the Newark population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Newark across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Newark was 304,960, a 0.13% increase year-by-year from 2022. Previously, in 2022, Newark population was 304,552, a decline of 0.92% compared to a population of 307,368 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Newark increased by 32,247. In this period, the peak population was 310,645 in the year 2020. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Newark is shown in this column.
• Year on Year Change: This column displays the change in Newark population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Newark Population by Year. You can refer the same here

Bellringer activities designed to support Advanced Placement Human Geography.

This statistic presents a forecast of percentage change in the elderly population in France between 2015 and 2025, by age. It shows that the highest percentage change concerned seniors aged 72-81 years. This age group is expected to increase of more than ** percent in 2025, compared to 2015.

ABOUT

The Global Population Growth Dataset provides a comprehensive record of population trends across various countries over multiple decades. It includes detailed information such as the country name, ISO3 country code, year-wise population data, population growth, and growth rate. This dataset is valuable for researchers, demographers, policymakers, and data analysts interested in studying population dynamics, demographic trends, and economic development.

Key features of the dataset:

✅ Covers multiple countries and regions worldwide
✅ Includes historical and recent population data
✅ Provides year-wise population growth and growth rate (%)
✅ Categorizes data by country and decade for better trend analysis

This dataset serves as a crucial resource for analyzing global population trends, understanding demographic shifts, and supporting socio-economic research and policy-making.

FILE INFORMATION

The dataset consists of structured records related to country-wise population data, compiled from official sources. Each file contains information on yearly population figures, growth trends, and country-specific data. The structured format makes it useful for researchers, economists, and data scientists studying demographic patterns and changes. The file type is CSV.

COLUMNS DESCRIPTION

• Country – The name of the country.
• ISO3 – The three-letter ISO code of the country.
• Year – The year corresponding to the population data, useful for trend analysis.
• Population – The total population of the country for the given year.
• Population Growth – The absolute increase in population compared to the previous year.
• Growth Rate (%) – The percentage change in population compared to the previous year.
• Decade – The decade classification (e.g., 1990s, 2000s) for grouping long-term trends.

Assisted Living Residence Market Outlook

The global assisted living residence market size was valued at approximately USD 85 billion in 2023 and is expected to reach around USD 150 billion by 2032, growing at a compound annual growth rate (CAGR) of about 6.5% during the forecast period. The growth in this market is primarily driven by the increasing aging population worldwide, the rising prevalence of chronic diseases, and the growing preference for residential care over traditional nursing homes. The demand for assisted living facilities is set to surge as more elderly individuals seek environments that offer both care and independence.

One of the main growth factors contributing to the expansion of the assisted living residence market is the demographic shift towards an aging global population. As medical advancements continue to extend life expectancy, the number of individuals aged 65 and older is increasing significantly. This demographic trend is particularly evident in developed nations such as the United States, Japan, and various European countries. The aging population is more prone to chronic conditions such as diabetes, arthritis, and cardiovascular diseases, necessitating continuous care and assistance, thereby fueling the demand for assisted living facilities.

Additionally, societal changes are also playing a crucial role in driving the market forward. Modern families are often smaller and geographically dispersed, making it challenging for relatives to provide the necessary care for elderly family members. As a result, there is a growing reliance on professional assisted living facilities that can offer a comprehensive range of services, including personal care, medical supervision, and social activities. These facilities not only ensure the well-being of residents but also provide peace of mind to their families, knowing their loved ones are in a safe and supportive environment.

The evolution of healthcare and technology has also significantly impacted the assisted living residence market. Innovations such as telemedicine, wearable health monitoring devices, and advanced medical record systems have enhanced the quality of care that residents receive. These technologies allow for real-time health monitoring and prompt medical interventions, which are particularly beneficial for managing chronic conditions. The integration of technology in assisted living facilities has not only improved health outcomes for residents but also made these facilities more attractive to potential residents and their families.

From a regional perspective, North America currently holds the largest share of the assisted living residence market, driven by the high prevalence of chronic diseases, well-established healthcare infrastructure, and significant disposable incomes. Europe follows closely, with countries like Germany, France, and the UK showing substantial demand due to their aging populations. The Asia Pacific region is expected to witness the highest growth rate during the forecast period, attributed to the rapidly aging population in countries like Japan and China, as well as rising healthcare expenditures and increasing awareness about assisted living options.

Service Type Analysis

The service type segment of the assisted living residence market encompasses personal care, medical care, social activities, meals, housekeeping, and other essential services. Personal care services include assistance with daily activities such as bathing, dressing, and grooming. This segment is expected to witness significant growth due to the increasing number of elderly individuals who require help with these routine tasks. The rising awareness about the importance of maintaining personal hygiene and dignity in old age is also contributing to the demand for personal care services in assisted living facilities.

Medical care services in assisted living residences are designed to address the healthcare needs of residents. These services include regular health check-ups, medication management, and access to emergency medical care. The demand for medical care services is driven by the rising prevalence of chronic conditions among the elderly population. Assisted living facilities are increasingly integrating advanced healthcare technologies to provide better medical care, which is expected to further boost the growth of this segment. Additionally, the availability of on-site medical professionals ensures timely medical interventions, enhancing the overall quality of care.

Social activities are a crucial component of assisted living services, aime

This study examines how population change is associated with changes in sociodemographics and economic outcomes across diverse geographic contexts in the United States from 2000 to 2020. Using Census Tract-level data and generalized additive models (GAMs), we found that communities experiencing population growth showed significant improvements in socioeconomic indicators: for example, a 50% population increase in Northeast metropolitan non-coastal areas was associated with a $10,062 rise [95% confidence interval (CI) = $9,181, $10,944] in median household income. Conversely, areas with population decline faced increasing challenges to community composition: communities experiencing a 50% population decline in West coastal metropolitan areas saw their median age increase by 2.556 years (95% CI = 2.23, 2.89 years), indicating an accelerated aging population. We observed a positive relationship between population growth and local economic growth, with areas experiencing population decline or slow growth showing below-average economic growth. While population change alone explained 10.1% of the variance in county-level GDP growth, incorporating sociodemographic shifts alongside population change using a partial least squares regression (PLSR) more than doubled the explanatory power to 21.4%. Overall, we often found the strength of relationships and sometimes the direction varied by geographic context: coastal areas showed distinct patterns from inland regions, and metropolitan areas responded differently than rural ones. For instance, the percentage of owner-occupied housing was negatively associated with population growth in metropolitan areas, but positively associated in non-metropolitan areas. Our research provides valuable insights for policymakers and planners working to address community changes, particularly in the context of anticipated climate-induced migration. The results suggest that strategies for maintaining economic vitality need to consider not just population retention, but also demographic profiles and socioeconomic opportunities across different geographic contexts.

The world's population first reached one billion people in 1805, and reached eight billion in 2022, and will peak at almost 10.2 billion by the end of the century. Although it took thousands of years to reach one billion people, it did so at the beginning of a phenomenon known as the demographic transition; from this point onwards, population growth has skyrocketed, and since the 1960s the population has increased by one billion people every 12 to 15 years. The demographic transition sees a sharp drop in mortality due to factors such as vaccination, sanitation, and improved food supply; the population boom that follows is due to increased survival rates among children and higher life expectancy among the general population; and fertility then drops in response to this population growth. Regional differences The demographic transition is a global phenomenon, but it has taken place at different times across the world. The industrialized countries of Europe and North America were the first to go through this process, followed by some states in the Western Pacific. Latin America's population then began growing at the turn of the 20th century, but the most significant period of global population growth occurred as Asia progressed in the late-1900s. As of the early 21st century, almost two-thirds of the world's population lives in Asia, although this is set to change significantly in the coming decades. Future growth The growth of Africa's population, particularly in Sub-Saharan Africa, will have the largest impact on global demographics in this century. From 2000 to 2100, it is expected that Africa's population will have increased by a factor of almost five. It overtook Europe in size in the late 1990s, and overtook the Americas a few years later. In contrast to Africa, Europe's population is now in decline, as birth rates are consistently below death rates in many countries, especially in the south and east, resulting in natural population decline. Similarly, the population of the Americas and Asia are expected to go into decline in the second half of this century, and only Oceania's population will still be growing alongside Africa. By 2100, the world's population will have over three billion more than today, with the vast majority of this concentrated in Africa. Demographers predict that climate change is exacerbating many of the challenges that currently hinder progress in Africa, such as political and food instability; if Africa's transition is prolonged, then it may result in further population growth that would place a strain on the region's resources, however, curbing this growth earlier would alleviate some of the pressure created by climate change.