Graph and download economic data for Unemployment Rate in Box Elder County, UT (UTBOXE3URN) from Jan 1990 to Aug 2025 about Box Elder County, UT; UT; unemployment; rate; and USA.

About this dataset

Context

The dataset tabulates the Elder township 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 Elder township 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 Elder township was 1,018, a 0.49% decrease year-by-year from 2022. Previously, in 2022, Elder township population was 1,023, a decline of 0.68% compared to a population of 1,030 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Elder township increased by 8. In this period, the peak population was 1,056 in the year 2010. 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 Elder township is shown in this column.
• Year on Year Change: This column displays the change in Elder township 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 Elder township Population by Year. You can refer the same here

The growth rate of the elderly population in India saw a sharp increase from 2001 onward after a series of successive falls. According to projections for 2021-31, the growth rate was expected to be five times the growth rate of the total population.

Graph and download economic data for Age-Adjusted Premature Death Rate for Box Elder County, UT (CDC20N2UAA049003) from 1999 to 2020 about Box Elder County, UT; premature; death; UT; rate; and USA.

This dataset contains the predicted prices of the asset Elder Logs over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

Age-Adjusted Premature Death Rate for Box Elder County, UT was 327.60000 Rate per 100,000 in January of 2020, according to the United States Federal Reserve. Historically, Age-Adjusted Premature Death Rate for Box Elder County, UT reached a record high of 340.70000 in January of 2000 and a record low of 248.70000 in January of 2009. Trading Economics provides the current actual value, an historical data chart and related indicators for Age-Adjusted Premature Death Rate for Box Elder County, UT - last updated from the United States Federal Reserve on November of 2025.

In 2021, more than ** percent of people over 65 years in South Korea were living in relative poverty. This was the second-highest rate among member countries of the Organization for Economic Co-operation and Development (OECD).

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.

Unemployment Rate in Box Elder County, UT was 3.70% in August of 2025, according to the United States Federal Reserve. Historically, Unemployment Rate in Box Elder County, UT reached a record high of 10.10 in April of 2020 and a record low of 1.90 in December of 2021. Trading Economics provides the current actual value, an historical data chart and related indicators for Unemployment Rate in Box Elder County, UT - last updated from the United States Federal Reserve on December of 2025.

This dataset tracks annual graduation rate from 2012 to 2023 for Box Elder High School vs. Utah and Box Elder School District

Historical Dataset of Box Elder High School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1987-2023),Total Classroom Teachers Trends Over Years (1991-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (1990-2023),American Indian Student Percentage Comparison Over Years (1989-2023),Asian Student Percentage Comparison Over Years (1989-2020),Hispanic Student Percentage Comparison Over Years (1991-2023),Black Student Percentage Comparison Over Years (2011-2023),White Student Percentage Comparison Over Years (1991-2023),Native Hawaiian or Pacific Islander Student Percentage Comparison Over Years (2019-2022),Two or More Races Student Percentage Comparison Over Years (2014-2023),Diversity Score Comparison Over Years (1991-2023),Free Lunch Eligibility Comparison Over Years (1992-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2001-2023),Reading and Language Arts Proficiency Comparison Over Years (2010-2021),Math Proficiency Comparison Over Years (2011-2023),Overall School Rank Trends Over Years (2012-2023),Graduation Rate Comparison Over Years (2012-2023)

These data are part of NACJD's Fast Track Release and are distributed as they there received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except of the removal of direct identifiers. Users should refer to the accompany readme file for a brief description of the files available with this collections and consult the investigator(s) if further information is needed. This study evaluated the cost effectiveness of the Los Angeles Elder Abuse Forensic Center (EAFC) by examining costs associated elder abuse cases processed under a multidisciplinary team approach. Using data collected in Evaluating the Elder Abuse Forensic Center Model in Los Angeles County, California, 2007-2009 (ICPSR 34979) researchers focused on the key components, participants, and processes necessary to operate the Los Angeles EAFC and identified the costs required to process an elder abuse case as well as the outcomes attained by the EAFC. This study also carried out a survey of Adult Protective Service (APS) social workers on time spent on different case process activity and their perception on efficiency of the Los Angeles EAFC, and collected associated costs estimates.

The global Elder Care Service Platform market is poised for significant expansion, projected to reach an estimated $250 million by 2025. This growth is fueled by a compound annual growth rate (CAGR) of approximately 18%, indicating robust and sustained demand for innovative solutions supporting the elderly population. A primary driver of this surge is the accelerating global aging demographic, with a substantial increase in the number of individuals requiring specialized care and support. Furthermore, advancements in technology, including the proliferation of smart home devices, telehealth, and AI-powered assistance, are revolutionizing the delivery of elder care services, making them more accessible, personalized, and efficient. The increasing awareness among families and individuals regarding the benefits of professional elder care services, coupled with a growing preference for aging in place, further propels market adoption. The desire for independence among seniors, combined with the strain on traditional caregiving models, is creating a fertile ground for technology-enabled platforms. The market is strategically segmented to address diverse needs, with Home Elderly Services leading the charge due to the strong preference for familiar surroundings. Online Elderly Care represents a rapidly growing segment, offering remote monitoring, virtual consultations, and social engagement platforms. Conversely, Customized Elderly Care is gaining traction as individuals seek tailored support plans that cater to unique health conditions and lifestyle preferences. Key players like Cera Care, Honor, and Care.com are actively innovating, expanding their service portfolios, and forging strategic partnerships to capture market share. Restraints such as the initial cost of technology adoption and data privacy concerns are being addressed through improved user interfaces, enhanced security measures, and flexible pricing models, paving the way for widespread integration of these vital services. This report provides an in-depth analysis of the Elder Care Service Platform market, examining its current landscape, historical performance, and future trajectory. With a study period spanning from 2019 to 2033, and a base year of 2025, this report leverages extensive data to offer actionable insights for stakeholders. The estimated market size is projected to reach several hundred million dollars by 2025, with a significant compound annual growth rate anticipated during the forecast period of 2025-2033.

Wi‑Fi Sensing for Elder Care Market Outlook

According to our latest research, the Wi‑Fi Sensing for Elder Care market size reached USD 1.47 billion globally in 2024, reflecting robust adoption across healthcare and residential sectors. The market is expected to grow at a CAGR of 22.8% from 2025 to 2033, projecting a value of USD 11.6 billion by the end of the forecast period. This remarkable growth is primarily driven by the increasing aging population, rising demand for non-intrusive health monitoring, and technological advancements in wireless sensing solutions.

The rapid expansion of the Wi‑Fi Sensing for Elder Care market can be attributed to a confluence of demographic and technological factors. The global elderly population is increasing at an unprecedented rate, with the United Nations estimating that by 2030, one in six people in the world will be aged 60 years or over. This demographic shift has intensified the need for innovative elder care solutions that can offer safety, independence, and peace of mind. Wi‑Fi sensing technology provides a non-intrusive way to monitor seniors, detect falls, and track daily activities without the need for wearable devices, addressing privacy and compliance concerns more effectively than traditional monitoring systems.

Another significant growth factor is the advancement in Wi‑Fi technology and artificial intelligence. The integration of AI-driven analytics with Wi‑Fi sensing has enabled more accurate detection of health anomalies, real-time activity tracking, and predictive analytics for potential health risks. These features are particularly valuable in elder care settings, where early intervention can prevent hospitalizations and improve quality of life. Additionally, the proliferation of smart home infrastructure and increasing consumer awareness about the benefits of remote health monitoring have further fueled market demand, making Wi‑Fi sensing solutions more accessible and affordable.

Healthcare providers and institutions are increasingly recognizing the operational and economic benefits of Wi‑Fi sensing for elder care. By leveraging existing wireless networks, these solutions minimize the need for costly hardware installations and ongoing maintenance. The scalability and flexibility of Wi‑Fi sensing systems make them suitable for a wide range of applications, from individual home care to large-scale assisted living facilities. Furthermore, regulatory support for telehealth and remote patient monitoring, especially in the wake of the COVID-19 pandemic, has accelerated the adoption of these technologies, positioning the market for sustained long-term growth.

From a regional perspective, North America currently leads the Wi‑Fi Sensing for Elder Care market, supported by advanced healthcare infrastructure, high technology adoption rates, and significant investments in digital health. Europe follows closely, with strong government initiatives aimed at supporting aging populations. The Asia Pacific region is poised for the fastest growth over the forecast period, driven by a rapidly aging demographic, increasing healthcare expenditures, and expanding urbanization. Latin America and the Middle East & Africa are also witnessing rising adoption, albeit at a slower pace, as awareness and infrastructure continue to develop.

Component Analysis

The component segment of the Wi‑Fi Sensing for Elder Care market is categorized into hardware, software, and services. Hardware forms the backbone of Wi‑Fi sensing solutions, encompassing routers, access points, sensors, and IoT gateways. Recent innovations in hardware design have led to the development of highly sensitive and energy-efficient devices capable of detecting minute movements and physiological changes in real time. The demand for advanced hardware is particularly strong in institutional settings such as hospitals and assisted living facilities, where reliability and scalability are paramount. Additionally, the integration of Wi‑Fi 6 and emerging Wi‑Fi 7 standards is expected to further enhance the performance and coverage of sensing systems, supporting the market’s rapid expansion.

Software plays an equally critical role in the Wi‑Fi Sensing for Elder Care market. Sophisticated algorithms and artificial intelligence models process the raw data collected by hardware components, transforming it into actionable insights for caregivers and healthcare provider

The global Smart Elderly Care Cloud Platform market is poised for significant expansion, projected to reach an estimated USD 659 million in 2025, with a robust Compound Annual Growth Rate (CAGR) of 9.5% anticipated over the forecast period of 2025-2033. This impressive growth trajectory is propelled by a confluence of powerful market drivers, including the rapidly aging global population, increasing prevalence of chronic diseases necessitating continuous monitoring, and the growing demand for independent living solutions among seniors. The inherent benefits of smart elderly care platforms, such as enhanced safety, improved health outcomes, and greater peace of mind for caregivers, are fueling their adoption across various settings. The market is segmented by application into Nursing Homes, Hospitals, Community settings, and Others, with Hospitals and Nursing Homes expected to represent the largest share due to established infrastructure and a concentrated elderly demographic. By type, the market is divided into Hardware and Software, with software solutions playing a pivotal role in data analytics, remote monitoring, and personalized care management. Emerging trends such as the integration of Artificial Intelligence (AI) and Machine Learning (ML) for predictive analytics and personalized care plans, the proliferation of wearable sensors and IoT devices for real-time health tracking, and the development of user-friendly interfaces for both seniors and caregivers are shaping the market landscape. These advancements are not only improving the efficacy of smart elderly care solutions but also driving market penetration. Despite the promising outlook, certain restraints, including concerns regarding data privacy and security, the high initial cost of implementation, and the need for widespread digital literacy among the elderly population and their caregivers, need to be addressed. Key players like UbiTrack, UBTECH ROBOTICS CORP LTD, and VIDEOSTRONG are actively innovating and expanding their offerings to capture market share, with a strong focus on North America and Europe due to their advanced healthcare infrastructure and higher adoption rates of technology for elder care. The Asia Pacific region, particularly China and India, is also emerging as a significant growth area driven by increasing government initiatives and a burgeoning elderly population. This in-depth report delves into the rapidly evolving Smart Elderly Care Cloud Platform market, projecting a significant growth trajectory. With a study period spanning from 2019 to 2033, and a base year of 2025, this analysis provides a robust understanding of the market dynamics. The forecast period of 2025-2033 anticipates substantial advancements, building upon historical trends observed from 2019-2024. The market is expected to reach a valuation in the hundreds of millions of dollars by the end of the forecast period, driven by increasing global aging populations and technological innovation.

Elder Care AI Market Outlook

According to our latest research, the global Elder Care AI market size in 2024 stands at USD 2.75 billion, with a robust compound annual growth rate (CAGR) of 21.3% projected from 2025 to 2033. By 2033, the market is anticipated to reach approximately USD 19.6 billion, driven by increasing demand for intelligent solutions that enhance the quality of life, safety, and independence of elderly populations worldwide. This surge is primarily fueled by the convergence of technological advancements, rising aging demographics, and growing investments in digital health infrastructure.

One of the principal growth factors propelling the Elder Care AI market is the rapidly expanding aging population globally. With the United Nations estimating that by 2050, one in six people in the world will be over the age of 65, there is a pressing need for innovative solutions to address the unique challenges faced by seniors. AI-powered elder care technologies are increasingly being adopted to monitor health conditions, provide cognitive assistance, and enable remote care, thereby reducing the burden on caregivers and healthcare systems. The integration of machine learning, natural language processing, and computer vision is transforming traditional elder care by offering personalized, proactive, and predictive services that improve both clinical outcomes and patient satisfaction.

Another significant driver of the Elder Care AI market is the increasing prevalence of chronic diseases and age-related health concerns, such as dementia, AlzheimerÂ’s, and mobility impairments. AI-based applications are playing an instrumental role in early detection, continuous monitoring, and management of these conditions, empowering healthcare providers and family members to intervene promptly. The proliferation of wearable devices, smart home technologies, and connected medical equipment has created a fertile environment for AI solutions to deliver real-time insights, automate medication reminders, and detect emergencies such as falls. This not only enhances the safety and well-being of elderly individuals but also enables cost-effective, scalable care models that alleviate resource constraints in healthcare systems.

Furthermore, the growing acceptance and trust in digital health solutions among both seniors and caregivers are accelerating market adoption. Governments and private organizations are investing heavily in the development and deployment of AI-driven elder care platforms, recognizing their potential to bridge gaps in care access and quality. Strategic collaborations between technology vendors, healthcare providers, and insurance companies are facilitating the integration of AI into existing care workflows, making it easier for end-users to leverage these tools. The COVID-19 pandemic has further underscored the importance of remote care and digital engagement, catalyzing a shift towards AI-powered solutions that can support social interaction, cognitive stimulation, and mental health for isolated seniors.

Robotic Elder Monitoring Systems are emerging as a pivotal component in the evolution of elder care technologies. These systems integrate advanced robotics with AI to provide continuous monitoring and support for seniors, particularly those living independently. By utilizing sensors and machine learning algorithms, robotic systems can detect anomalies in daily activities, monitor vital signs, and even assist with mobility. This not only enhances the safety and autonomy of elderly individuals but also provides peace of mind to caregivers and family members. The integration of robotic systems with existing AI platforms allows for a more comprehensive approach to elder care, enabling real-time data collection and analysis that can inform timely interventions and improve overall care outcomes.

From a regional perspective, North America currently dominates the Elder Care AI market, accounting for the largest share in 2024, owing to its advanced healthcare infrastructure, high technology adoption rates, and supportive regulatory environment. Europe follows closely, driven by substantial investments in digital health and a rapidly aging population, particularly in countries such as Germany, France, and the United Kingdom. The Asia Pacific region is poised for the fastest growth d

In 2024, 12.9 percent of those aged between 26 and 34 were uninsured in the U.S., this was higher in comparison to 6.1 percent of those below 19 years of age. This statistic shows the uninsured rate for non-elderly people in the U.S. from 2024, by age group.

Graph and download economic data for Homeownership Rate (5-year estimate) for Box Elder County, UT (HOWNRATEACS049003) from 2009 to 2023 about Box Elder County, UT; homeownership; UT; 5-year; housing; rate; and USA.

This page is considered archival. please refer to the new data landing page at Medi-Cal Managed Care Capitation Rates by Managed Care Plan Models. The datasets contain reimbursement rates paid to participating Program of All-Inclusive Care for the Elderly (PACE) organizations for calendar years 2015-2020. To be eligible for the PACE program, a person must be 55 years of age or older and reside in one of the following PACE service areas: Alameda, Contra Costa, Fresno, Humboldt, Los Angeles, Orange, Riverside, Sacramento, San Bernardino, San Diego, San Francisco, San Joaquin, Santa Clara, Stanislaus.

This dataset tracks annual white student percentage from 1996 to 2003 for Elder Coop Alter School vs. Texas and Kilgore Independent School District