In 2021, there were 5,964,526 adults aged 65 and older living in California, the most out of all U.S. states, followed by Florida with almost 4.6 million adults aged 65 and older. Both California and Florida have some of the highest resident population figures in the United States.

In 2022, about 17.3 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 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 in order to keep up. If a population is expected to live longer than the generations before, the economy will have to change as well in order 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.

In 2022, the state with the highest median age of its population was Maine at 45.1 years. Utah had the lowest median age at 32.1 years. View the distribution of the U.S. population by ethnicity here.

Additional information on the aging population in the United States

High birth rates during the so-called baby boom years that followed World War II followed by lower fertility and morality rates have left the United States with a serious challenge in the 21st Century. However, the issue of an aging population is certainly not an issue unique to the United States. The age distribution of the global population shows that other parts of the world face a similar issue.

Within the United States, the uneven distribution of populations aged 65 years and over among states offers both major challenges and potential solutions. On the one hand, federal action over the issue may be contentious as other states are set to harbor the costs of elderly care in states such as California and Florida. That said, domestic migration from comparably younger states may help to fill gaps in the workforce left by retirees in others.

Nonetheless, aging population issues are set to gain further prominence in the political and economic decisions made by policymakers regardless of the eventual distribution of America’s elderly. Analysis of the financial concerns of Americans by age shows many young people still decades from retirement hold strong concern over their eventual financial position.

This layer shows demographic context for senior well-being work. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. The layer is symbolized to show the percentage of population aged 65 and up (senior population). To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2018-2022ACS Table(s): B01001, B09021, B17020, B18101, B23027, B25072, B25093, B27010, B28005, C27001B-IData downloaded from: Census Bureau's API for American Community Survey Date of API call: December 7, 2023The United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2022 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

About this dataset

Context

The dataset tabulates the data for the Richardson, TX population pyramid, which represents the Richardson 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 Richardson, TX, is 25.3.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Richardson, TX, is 18.2.
• Total dependency ratio for Richardson, TX is 43.4.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Richardson, TX is 5.5.

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

The number of retired workers receiving Social Security benefits increased from approximately 34.59 million in 2010 to 50.15 million in 2023. This figure has increased at the same rate year-on-year over the past decade and is likely to continue into the future.

What is Social Security?

Social Security benefits are payments, which are paid out by the U.S. government to qualified retirees and disabled people, as well as to their spouses, children and survivors. These payments are meant to provide them with partial replacement income. Social security expenditure is forecast to increase year-on-year over the next decade, as it has since the beginning of the 21st century.

The impact of demographic change

This is likely to the fact that the U.S. population is aging rapidly, which means that seniors will account for a greater proportion of the population in the future. This demographic change will put pressure on government resources, because the workforce whose tax dollars pay for social benefits will make up a smaller percentage of the population than now. Americans who are 65 years and older are the demographic group estimated to grow the most over the next 40 years, whereas the other groups will mostly remain the same.

This map shows where seniors ages 65 and over living alone from the American Community Survey (ACS) by 5 year estimates. Data is available in state, county, and tract geographies. Size is denoted by population count of 65+ adults living alone while color is the percent of 65+ adults living alone out of total population 18+ in households. This map uses these hosted feature layers containing the most recent American Community Survey data. These layers are part of ArcGIS Living Atlas, and are updated every year when the American Community Survey releases new estimates, so values in the map always reflect the newest data available. Learn more about the layer use in this map by viewing the layer here.

About this dataset

Context

The dataset tabulates the data for the Ogden, UT population pyramid, which represents the Ogden 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 Ogden, UT, is 28.5.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Ogden, UT, is 16.4.
• Total dependency ratio for Ogden, UT is 44.9.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Ogden, UT is 6.1.

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

Symbols in bright yellow represent areas where more seniors with burdensome housing costs are renters, whereas symbols that are blue represent areas with more owners. Map has national coverage but opens in Milwaukee. Use the map's bookmarks or the search bar to view other cities. Bookmarks include what are generally thought of as "affordable" cities - Fresno, Salt Lake City, New Orleans, Albuquerque, El Paso, Tusla, Raleigh, Milwaukee - but yet there are many seniors whose housing costs are 30 percent or more of their income. "The burden of housing costs combined with climbing health care expenses can significantly reduce financial security at older ages" according to the Urban Institute. The number of senior households is projected to grow in the coming years, making the issue of economic security for seniors even more pressing.Housing costs are defined as burdensome if they exceed 30 percent of monthly income, a widely-used definition by HUD and others in affordable housing discussions. For owners, monthly housing costs include payments for mortgages and all other debts on the property; real estate taxes; fire, hazard, and flood insurance; utilities; fuels; and condominium or mobile home fees.For renters, monthly housing costs include contract rent plus the estimated average monthly cost of utilities (electricity, gas, and water and sewer) and fuels (oil, coal, kerosene, wood, etc.) if these are paid by the renter.Income is defined as the sum of wage/salary income; net self-employment income; interest/dividends/net rental/royalty income/income from estates & trusts; Social Security/Railroad Retirement income; Supplemental Security Income (SSI); public assistance/welfare payments; retirement/survivor/disability pensions; & all other income.Only households with a householder who is 65 and over are included in these maps. The householder is a person in whose name the home is owned, being bought, or rented, and how answers the questionnaire as person 1.This map is multi-scale, with data for states, counties, and tracts. This map uses these hosted feature layers containing the most recent American Community Survey data. These layers are part of the ArcGIS Living Atlas, and are updated every year when the American Community Survey releases new estimates, so values in the map always reflect the newest data available.

About this dataset

Context

The dataset tabulates the data for the Live Oak County, TX population pyramid, which represents the Live Oak 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 Live Oak County, TX, is 27.9.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Live Oak County, TX, is 32.4.
• Total dependency ratio for Live Oak County, TX is 60.3.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Live Oak County, TX is 3.1.

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

About this dataset

Context

The dataset tabulates the data for the Nashua, NH population pyramid, which represents the Nashua 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 Nashua, NH, is 23.0.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Nashua, NH, is 24.2.
• Total dependency ratio for Nashua, NH is 47.1.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Nashua, NH is 4.1.

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

About this dataset

Context

The dataset tabulates the data for the Riverside, CA population pyramid, which represents the Riverside 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 Riverside, CA, is 27.3.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Riverside, CA, is 16.9.
• Total dependency ratio for Riverside, CA is 44.2.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Riverside, CA is 5.9.

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

Senior Care and Living Services Market Outlook

The global senior care and living services market size was valued at approximately $1.2 trillion in 2023 and is projected to reach $2.5 trillion by 2032, growing at a CAGR of 8.5% over the forecast period. The growth of this market is driven by a combination of demographic shifts, increasing life expectancy, and rising awareness about elderly care services. The global population is aging rapidly, and as healthcare advancements continue to extend lifespans, the demand for comprehensive senior care services is on an upward trajectory.

One of the primary growth factors for the senior care and living services market is the substantial increase in the elderly population. The proportion of individuals aged 65 and above is expected to double by 2050, according to the United Nations. This demographic shift is putting significant pressure on existing healthcare and social care systems, necessitating the expansion and enhancement of senior care services. Additionally, the prevalence of chronic diseases such as Alzheimer's, dementia, and cardiovascular disorders among the elderly is further fueling the demand for specialized care services.

Another key driver is the growing preference for aging in place and home-based care solutions. Many seniors prefer the familiarity and comfort of their own homes, leading to a surge in demand for home care services. This trend is supported by advancements in telehealth and remote monitoring technologies, which enable healthcare providers to deliver high-quality care in a home setting. Moreover, governments and private organizations are increasingly investing in home care infrastructure and services, recognizing their cost-effectiveness and potential to enhance the quality of life for seniors.

The market is also benefitting from increased awareness and acceptance of various senior living options, such as assisted living, nursing care, and independent living. As people become more informed about the available services and their benefits, they are more likely to opt for professional care solutions. Marketing efforts, community outreach programs, and endorsements from healthcare professionals are playing a crucial role in educating the public and reducing the stigma associated with senior care facilities.

Long Term Care is becoming increasingly important as the global population ages and the prevalence of chronic conditions rises. This type of care encompasses a wide range of services designed to meet the medical and non-medical needs of individuals with chronic illnesses or disabilities over an extended period. The focus of Long Term Care is not only on providing medical treatment but also on assisting with daily activities and ensuring a quality life for individuals who may not be able to care for themselves independently. As the demand for Long Term Care grows, there is a pressing need for more facilities, trained professionals, and innovative care solutions to address the complex needs of the elderly population.

Regionally, North America dominates the senior care and living services market, driven by a robust healthcare infrastructure, high disposable incomes, and favorable government policies. Europe follows closely, with significant contributions from countries like Germany, France, and the UK, which have well-established senior care systems. The Asia Pacific region is emerging as a lucrative market, primarily due to its vast aging population and increasing investments in healthcare infrastructure. Latin America and the Middle East & Africa, although smaller in market size, are also showing promising growth prospects.

Service Type Analysis

The service type segment in the senior care and living services market is categorized into assisted living, nursing care, home care, hospice care, and independent living. Assisted living facilities provide a blend of residential housing, personalized support services, and healthcare, catering to seniors who require assistance with daily activities but do not need extensive medical care. The demand for assisted living is growing due to its balance of independence and support, making it an attractive option for many seniors and their families. These facilities often include amenities such as social activities, dining services, and fitness programs, enhancing the overall quality of life for residents.

Nursing care facilities offer comprehensive medical and personal care for seniors with severe hea

The estimated population of the U.S. was approximately 334.9 million in 2023, and the largest age group was adults aged 30 to 34. There were 11.88 million males in this age category and around 11.64 million females. Which U.S. state has the largest population? The population of the United States continues to increase, and the country is the third most populous in the world behind China and India. The gender distribution has remained consistent for many years, with the number of females narrowly outnumbering males. In terms of where the residents are located, California was the state with the highest population in 2023. The U.S. population by race and ethnicity The United States is well known the world over for having a diverse population. In 2023, the number of Black or African American individuals was estimated to be 45.76 million, which represented an increase of over four million since the 2010 census. The number of Asian residents has increased at a similar rate during the same time period and the Hispanic population in the U.S. has also continued to grow.

About this dataset

Context

The dataset tabulates the data for the Old Forge, PA population pyramid, which represents the Old Forge 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 Old Forge, PA, is 29.3.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Old Forge, PA, is 35.5.
• Total dependency ratio for Old Forge, PA is 64.8.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Old Forge, PA is 2.8.

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

In 2023, the largest share of women aged 75 and older were living alone (42 percent). In comparison, approximately 67.7 percent of men in this age group lived with their spouse. When it comes to living with relatives, women were three times more likely to fall into this group than men.

This statistic depicts the age distribution in the United States from 2013 to 2023. In 2023, about 17.59 percent of the U.S. population fell into the 0-14 year category, 64.97 percent into the 15-64 age group and 17.43 percent of the population were over 65 years of age. The increasing population of the United States The United States of America is one of the most populated countries in the world, trailing just behind China and India. A total population count of around 320 million inhabitants and a more-or-less steady population growth over the past decade indicate that the country has steadily improved its living conditions and standards for the population. Leading healthier lifestyles and improved living conditions have resulted in a steady increase of the life expectancy at birth in the United States. Life expectancies of men and women at birth in the United States were at a record high in 2012. Furthermore, a constant fertility rate in recent years and a decrease in the death rate and infant mortality, all due to the improved standard of living and health care conditions, have helped not only the American population to increase but as a result, the share of the population younger than 15 and older than 65 years has also increased in recent years, as can be seen above.

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What is the Size of Burial Insurance Market?

The burial insurance market size is forecast to increase by USD 72 billion and is estimated to grow at a CAGR of 5.5% between 2024 and 2029. The market is experiencing significant growth due to several key factors. The geriatric population is expanding, leading to a rise in demand for burial insurance. Additionally, there is an increasing focus on digitalization in the insurance industry, making it more convenient for consumers to purchase policies online. However, the market is also facing challenges such as misleading advertisements that may misrepresent the true cost and coverage of burial insurance policies. As the population ages and consumers seek out more efficient ways to plan for end-of-life expenses, the market is poised for continued growth. Digitalization is playing a crucial role in making these policies more accessible, but it is essential for insurers to maintain transparency and accuracy in their advertising to build trust and credibility with consumers.

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Market Segmentation

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019 - 2023 for the following segments.

Age Group

  Seniors
  Pre-retirement individuals
  High-risk individuals


Product Type

  Final expense life insurance
  Pre-need burial insurance
  Whole life burial insurance
  Guaranteed issue burial insurance
  Term burial insurance


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK
    France
    Italy


  APAC

    Japan
    South Korea


  South America

    Brazil


  Middle East and Africa

Which is the largest segment driving market growth?

The seniors segment is estimated to witness significant growth during the forecast period. The market is gaining significance as the senior population continues to expand. Approximately 50% of the global population aged 60 and above is projected to reach 1.4 billion by 2030, and this demographic segment represents a substantial market opportunity.

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The seniors segment was the largest segment and was valued at USD 126.40 billion in 2019. This trend presents a growing demand for burial insurance coverage. Burial insurance policies offer a predetermined coverage amount to cover funeral and burial expenses. Underwriting processes for these policies have been simplified, with some companies offering coverage without a medical exam requirement. This approach, known as simplified underwriting, caters to consumers with various health conditions. Agents play a crucial role in connecting consumers with the most suitable policies for their needs. Hence, such factors are fuelling the growth of this segment during the forecast period.

Which region is leading the market?

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North America is estimated to contribute 57% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period. The North American market for burial insurance is witnessing notable expansion due to the increasing recognition among the aging population of the importance of long-term care planning. A recent survey involving over 1,700 participants underscored the significance of this issue, with 91% of respondents acknowledging the need to include long-term care in their retirement plans. This heightened awareness is fueling the demand for burial insurance in the region. In response to this trend, companies such as Transamerica are innovating to improve the customer experience. In March 2023, Transamerica introduced ConnectedClaimsSM, a range of customizable services aimed at streamlining access to workplace supplemental insurance benefits. This premium service offers policyholders a level of death benefit and guarantees acceptance without the need for a medical examination. With technological dependence on the rise, funeral cover continues to provide essential financial help for families during difficult times.

How do company ranking index and market positioning come to your aid?

Companies are implementing various strategies, such as strategic alliances, partnerships, mergers and acquisitions, geographical expansion, and product/service launches, to enhance their presence in the market.

AFLAC Inc: The company offers burial insurance such as immediate cash payout which provides a tax-free cash benefit to cover final expenses such as funeral costs.

Technavio provides the ranking index for the top 20 companies along with insights on the market positioning of:

American International Group Inc.
An Post Insuranc

In 2020, senior women were 50 percent more likely to live alone than their male counterparts in the United States. In that year, approximately one third of women aged 65 and older in the U.S. lived alone. In comparison, only 20 percent of elderly men lived by themselves.

About this dataset

Context

The dataset tabulates the data for the North Tonawanda, NY population pyramid, which represents the North Tonawanda 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 North Tonawanda, NY, is 23.5.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for North Tonawanda, NY, is 29.4.
• Total dependency ratio for North Tonawanda, NY is 52.9.
• Potential support ratio, which is the number of youth (working age population) per elderly, for North Tonawanda, NY is 3.4.

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