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.

The number of Americans aged 65 and over with Alzheimer's disease is projected to more than double by 2060, reaching **** million. This significant increase highlights the growing challenge of caring for an aging population, particularly those affected by dementia. As the prevalence of Alzheimer's rises, it will have far-reaching impacts on healthcare, families, and society as a whole. Aging population trends The surge in Alzheimer's cases is closely tied to broader demographic shifts in the United States. By 2050, it's estimated that 22 percent of the American population will be 65 years or older, up from 17.3 percent in 2022. This rapid aging of the population is expected to strain healthcare systems and change the nature of work and retirement. Challenges of aging in place As the number of older adults with Alzheimer's increases, there is a growing desire among seniors to age in their own homes. A 2024 survey found that ************** of adults aged 50 and older strongly or somewhat agreed they would like to remain in their current residence for as long as possible. This preference is even stronger among those 65 and older, with ** percent expressing this desire. However, the ability to age in place may be compromised by declining physical capabilities, as only about *** in **** adults aged 72 and older reported being fully able to perform self-care and mobility activities in 2021.

This statistic shows the total population of Ecuador from 2020 to 2022, with projections up until 2030. In 2022, the total population of Ecuador amounted to approximately 17.72 million inhabitants. Ecuador's population The population of Ecuador continues to increase slowly but steadily. In 2014, the total population of Ecuador amounted to around 16 million. Yet, the population growth rate has been decreasing slightly since 2008. This means that more people have died than were born and/or more people have migrated out of as opposed to into the country. The fertility rate has been decreasing as well; ten years ago the fertility rate stood at around 3 children per woman, but today it stands at around 2.5 children per woman. This decrease has likely caused the slump in the population growth rate, even though it still remains above the natural replacement rate of 2, causing the population to still grow overall. Further, Ecuador’s life expectancy is around 76 years nowadays, with the percentage of adults aged over 65 years being less than seven percent (451305). The population of Ecuador is quite young, with about a third of the population under 14 years of age. The population is spread all over the country: Guayaquil and Quito are the largest cities in Ecuador and home to close to 4 million people combined. All other cities are smaller and the majority of them inhabit less than 250,000 people.

United States Senior Living Market size was valued at USD 125.44 Billion in 2024 and is projected to reach USD 185.47 Billion by 2032, growing at a CAGR of 5.01% from 2026 to 2032.

Key Market Drivers

Aging Baby Boomer Population: The senior living market in the United States is heavily influenced by the aging baby boomer generation as they approach retirement age. According to the United States Census Bureau, all baby boomers will be 65 or older by 2030, with the total number of Americans aged 65 and over expected to rise from 56 million in 2020 to 73.1 million by 2030. This significant demographic shift is driving unprecedented demand for a variety of senior living options, including independent living communities, assisted living facilities, and nursing homes.

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Grant County: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 122(1.75%) households where the householder is under 25 years old, 2,021(29.06%) households with a householder aged between 25 and 44 years, 2,782(40%) households with a householder aged between 45 and 64 years, and 2,030(29.19%) households where the householder is over 65 years old.
• The age group of 25 to 44 years exhibits the highest median household income, while the largest number of households falls within the 45 to 64 years bracket. This distribution hints at economic disparities within the county of Grant County, showcasing varying income levels among different age demographics.

Content

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

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

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 Grant County median household income by age. You can refer the same here

California leads the nation in the number of older adults with Alzheimer's disease, with nearly 720,000 individuals affected in 2020. This sobering statistic highlights the significant impact of Alzheimer's across the United States, with populous states bearing the heaviest burden. Florida and Texas follow closely behind, each with over 450,000 older residents living with the disease. Projected growth The prevalence of Alzheimer's among older Americans is expected to rise dramatically in the coming decades. By 2030, an estimated 8.5 million people aged 65 and over will be living with Alzheimer's in the United States. This projection underscores the urgent need for improved prevention, treatment, and care strategies to address the growing impact of the disease on individuals, families, and healthcare systems. Mortality and healthcare burden Alzheimer's disease remains a significant cause of mortality in the United States, with 36 deaths per 100,000 people recorded in 2022. The disease's impact on the healthcare system is substantial and growing. Costs to Medicare and Medicaid are projected to reach 637 billion U.S. dollars by 2050, highlighting the economic challenges associated with caring for an aging population increasingly affected by Alzheimer's. Early detection and intervention strategies are crucial in managing the disease's progression and potentially reducing its long-term burden on individuals and society.

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Fulton County: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 141(2.29%) households where the householder is under 25 years old, 1,523(24.74%) households with a householder aged between 25 and 44 years, 2,462(39.99%) households with a householder aged between 45 and 64 years, and 2,030(32.98%) households where the householder is over 65 years old.
• The age group of 25 to 44 years exhibits the highest median household income, while the largest number of households falls within the 45 to 64 years bracket. This distribution hints at economic disparities within the county of Fulton County, showcasing varying income levels among different age demographics.

Content

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

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

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 Fulton County median household income by age. You can refer the same here

About this dataset

Context

The dataset tabulates the Wind Gap population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Wind Gap. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 2,030 (66.73% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Age cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Wind Gap population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Wind Gap is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Wind Gap 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 Wind Gap Population by Age. You can refer the same here

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Dent County: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 209(3.53%) households where the householder is under 25 years old, 1,427(24.09%) households with a householder aged between 25 and 44 years, 2,257(38.11%) households with a householder aged between 45 and 64 years, and 2,030(34.27%) households where the householder is over 65 years old.
• The age group of 25 to 44 years exhibits the highest median household income, while the largest number of households falls within the 45 to 64 years bracket. This distribution hints at economic disparities within the county of Dent County, showcasing varying income levels among different age demographics.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

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 Dent County median household income by age. You can refer the same here

US Nuclear Imaging Market size was valued to be USD 5 Billion in the year 2024, and it is expected to reach USD 6.84 Billion in 2032, at a CAGR of 4% over the forecast period of 2026 to 2032.

Key Drivers:
Aging Population: As the US population ages, the prevalence of chronic diseases rises, leading to increased demand for nuclear imaging for diagnosis and treatment planning. This demographic trend contributes significantly to market growth. The US population over 65 is expected to reach 80 million by 2030. According to CMS data, this demographic accounts for approximately 40% of nuclear imaging procedures, which is driving a 7% annual increase in cardiac and oncology scans.
Rising Cancer Incidence: The rising cancer incidence in the US drives the nuclear imaging market, as these advanced diagnostic tools are crucial for the early detection and effective management of various cancers. The National Cancer Institute predicts that cancer diagnoses will increase by 45% by 2030. PET-CT scan volumes have increased 12% per year, with oncology applications accounting for 87% of the nuclear medicine procedure growth.

The statistic shows the total population in Japan from 2020 to 2024, with projections up until 2030. In 2024, the total population of Japan amounted to around 123.89 million inhabitants. See the figures for the population of South Korea for comparison. Total population in Japan From steadily low fertility rates to a growing elderly population, it is no secret that Japan’s population is shrinking. Population growth rates jump around a little, but are currently following a declining trend. The post-war baby boom generation is now in the 65-and-over age group, and the percentage of the population in that category is expected to keep growing, as is indicated by a high median age and high life expectancy. Japan already has the highest percentage of its population over 65 in the world, and the aging population puts some pressure on the Japanese government to provide welfare services for more people as rising numbers leave the workforce. However, the amount of jobs opened up for the younger generations by the older generations leaving the workforce means that unemployment is kept to a minimum. Despite a jump in unemployment after the global recession hit in 2008, rates were almost back to pre-recession rates by 2013. Another factor affecting Japan is the number of emigrants to other countries. The United States absorbs a number of emigrants worldwide, so despite a stagnating birth rate, the U.S. has seen a steady rise in population.

In 2023, the population of Africa was projected to grow by 2.34 percent compared to the previous year. The population growth rate on the continent has been constantly over 2.3 percent from 2000 onwards, and it peaked at 2.59 percent between 2012 and 2013. Despite a slowdown in the growth rate, the continent's population will continue to increase significantly in the coming years. The second-largest population worldwide In 2022, the total population of Africa amounted to around 1.4 billion. The number of inhabitants had grown steadily in the previous decades, rising from approximately 810 million in 2000. Driven by a decreasing mortality rate and a higher life expectancy at birth, the African population was forecast to increase to about 2.5 billion individuals by 2050. Africa is currently the second most populous continent worldwide after Asia. However, forecasts showed that Africa could gradually close the gap and almost reach the size of the Asian population in 2100. By that year, Africa might count 3.9 billion people, compared to 4.7 billion in Asia. The world's youngest continent The median age in Africa corresponded to 18.8 years in 2023. Although the median age has increased in recent years, the continent remains the youngest worldwide. In 2023, roughly 40 percent of the African population was aged 15 years and younger, compared to a global average of 25 percent. Africa recorded not only the highest share of youth but also the smallest elderly population worldwide. As of the same year, only three percent of Africa's population was aged 65 years and older. Africa and Latin America were the only regions below the global average of 10 percent. On the continent, Niger, Uganda, and Angola were the countries with the youngest population in 2023.

The North America Healthcare Packaging Market size was valued at USD 42.56 Billion in 2024 and is projected to reach USD 63.84 Billion by 2032, growing at a CAGR of 6.2% from 2026 to 2032.

Key Market Drivers

Growing Aging Population Driving Demand for Healthcare Packaging: The elderly population in North America is a significant element driving the growth of the healthcare packaging industry. According to the US Census Bureau, by 2030, all baby boomers will be over the age of 65, bringing the senior population to 73 million in the United States. This generational transition is driving up demand for medical gadgets, pharmaceuticals, and their specific packaging solutions.

Rise in Chronic Diseases Increasing Pharmaceutical Demand: The incidence of chronic diseases such as diabetes, cancer, and cardiovascular disease is considerably driving the market.

By 2030, the Indonesian e-commerce market was predicted to generate around 150 billion U.S. dollars in online retail sales, increasing from 65 billion U.S. dollars in 2024. By 2030, Indonesia was forecasted to account for over 40 percent of the Southeast Asian e-commerce market, likely due to a growing middle class and the increasing access to the internet. Other emerging markets include Malaysia, the Philippines, Thailand and Vietnam.E-commerce in Southeast AsiaThe leading product categories that were bought through e-commerce platforms in Southeast Asia include fashion and beauty. Shopee and Lazada have emerged as leading e-commerce sites in the region, with Shopee generating over 500 million web sessions. The preferred payment method among Southeast Asian consumers when shopping online varied between digital wallets and credit cards, depending on the country. In Singapore, credit cards were widely used, while digital wallets were more popular in Indonesia and Vietnam.Omni-channel experiences through e-commerceWith no doubt, e-commerce has been steadily growing with the emergence of numerous online retail brands and online marketplaces. Further, more and more fashion brands provide the option of browsing products on their online shop while consumers are shopping in the physical store, so the customer can check on size availability and order it for delivery to their homes or to the store. Given that, omnichannel experiences are relevant for offering the customer more convenience and to increase customer loyalty.

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Claiborne Parish: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 114(2.27%) households where the householder is under 25 years old, 1,075(21.42%) households with a householder aged between 25 and 44 years, 1,800(35.86%) households with a householder aged between 45 and 64 years, and 2,030(40.45%) households where the householder is over 65 years old.
• The age group of 45 to 64 years exhibits the highest median household income, while the largest number of households falls within the 65 years and over bracket. This distribution hints at economic disparities within the county of Claiborne Parish, showcasing varying income levels among different age demographics.

Content

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

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

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 Claiborne Parish median household income by age. You can refer the same here

About this dataset

Context

The dataset tabulates the Loves Park population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Loves Park. The dataset can be utilized to understand the population distribution of Loves Park by age. For example, using this dataset, we can identify the largest age group in Loves Park.

Key observations

The largest age group in Loves Park, IL was for the group of age 55-59 years with a population of 2,030 (8.74%), according to the 2021 American Community Survey. At the same time, the smallest age group in Loves Park, IL was the 80-84 years with a population of 359 (1.55%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age 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 in consideration
• Population: The population for the specific age group in the Loves Park is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Loves Park total population. 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 Loves Park Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Monmouth population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Monmouth. The dataset can be utilized to understand the population distribution of Monmouth by age. For example, using this dataset, we can identify the largest age group in Monmouth.

Key observations

The largest age group in Monmouth, OR was for the group of age 20 to 24 years years with a population of 2,030 (18.36%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in Monmouth, OR was the 85 years and over years with a population of 99 (0.90%). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

Age 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 in consideration
• Population: The population for the specific age group in the Monmouth is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Monmouth total population. 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 Monmouth Population by Age. You can refer the same here

US Wound Care Management Devices Market size was valued at USD 8.1 Billion in 2024 and is projected to reach USD 15.0 Billion by 2032, growing at a CAGR of 8% from 2026 to 2032.

Aging Population and Increased Healthcare: The aging population and increased healthcare needs will drive the U.S. wound care management devices market. By 2030, every baby boomer will be 65 or older, increasing the population's susceptibility to chronic wounds and complex healing. The 65+ population is estimated to reach 74.1 million by 2030, a 22% rise from 2020, resulting in increased demand for specialized wound care solutions. This generational transition, together with advances in wound care technologies, will fuel innovation and market expansion in the coming years. Increasing Chronic Wound Prevalence: The increasing prevalence of chronic wounds will have a substantial impact on the wound care management devices industry in the United States.

US Active Pharmaceutical Ingredients (API) Market size was valued at USD 37.01 Billion in 2024 and is projected to reach USD 71.35 Billion by 2032, growing at a CAGR of 6.86% from 2026 to 2032.

The rising prevalence of chronic diseases and an aging population in the United States will dramatically increase demand for Active Pharmaceutical Ingredients (APIs). As the population ages, the prevalence of chronic illnesses including heart disease, diabetes, and arthritis rises, necessitating a greater use of pharmacological therapies. Furthermore, the continued rise in age-related disorders such as Alzheimer's and cancer will necessitate more specialized drugs, driving up API demand. This demographic transition, combined with the need for long-term treatments, will fuel continued expansion in the API sector as pharmaceutical companies work to discover and deliver effective pharmaceuticals to address these health issues. The rising frequency of chronic diseases in the United States is boosting demand for APIs. According to the CDC's National Center for Chronic Disease Prevention and Health Promotion (2023), six out of ten American people have at least one chronic disease, with four out of ten having two or more. Furthermore, the US Census Bureau predicts that by 2030, all baby boomers will be above the age of 65, bringing the total number of people 65 and older to 73 million. This aging generation often requires more drugs, which fuels API demand.

Home care providers support the overall health and well-being of millions in the US annually. This number has been growing fast, expanding the scale and scope of home care providers in recent years. A rising number of adults 65 and older has been the primary driver behind this, as older adults are at a higher risk of developing a condition or experiencing an injury that limits their ability to perform tasks they once did independently. While changing demographic trends are an overarching trend impacting the health sector, the pandemic has permanently altered the industry's trajectory. Widespread outbreaks at residential facilities in the first year of the pandemic led more people to value remaining in their homes as they age; the interest in aging-in-place has only grown even as pandemic concerns have dissipated as older adults look for options that provide safety and independence. In all, revenue has been expanding at a CAGR of 3.5% to an estimated $153.7 billion over the past five years, including expected growth of 3.2% in 2025. The mounting need for home care services and a shortage of home health aides create a mismatch between supply and demand that limits revenue growth. Shortages, preexisting the pandemic, have worsened as caregivers seek more flexible jobs with higher pay, creating increasingly high turnover that pressures providers to raise wages. Medicare reimbursements to home health agencies have been declining for several years, preventing home health agencies from raising salaries despite shortages. Clients eligible for home care services through insurance face long waiting periods, leading more people to opt for self-directed care, where family members or friends work as paid caregivers. Too few caregivers prevent the industry from fully benefiting from ballooning demand and curtail profit growth. Trends driving growth in recent years will accelerate moving forward, providing massive opportunities for home care providers. How home care providers capitalize on these trends will depend on insurer reimbursements and workforce development. Technology, ranging from wearables to telehealth, will have a more prominent role in the industry as providers look for ways to improve patient care while lessening the burden on staff. Regulatory and financial pressures will maintain consolidation activity, with private equity investment likely to expand as well. A major headwind facing the industry will be the future of Medicare policies and to what extent they cover home health and telehealth services. Revenue will grow at a CAGR of 2.8% to an estimated $176.8 billion over the next five years.