In 2020, nursing home residents in the United States were mostly *****, ************, ****** and over the age of ** years. The gender distribution was roughly six women to four men. Despite a ***** of residents being over 85 years, some ** percent were under the age of 65 years.

In this study, different data sources are mobilized to establish a demographic finding on nurses.- The Adeli directory (Automation of lists): it lists active health professionals, having a legal license to practice their profession. This register is the only exhaustive database of nurses practising in France, which is continuously updated. it also makes it possible to identify the nursing profession. It was enriched by INSEE on the 2006 data, the only data available at the time of this study, in order to distinguish employees in the public hospital from those in the private sector. it covers the entire field of active nurses practising and residing in metropolitan France. It surveys a relatively small number of nurses each year (2 700 in 2008).- The National Inter-Scheme Health Insurance Information System (SNIIR-AM) makes it possible to identify liberal nurses exhaustively.

In this study, different data sources are mobilized to establish a demographic finding on nurses.- The Adeli directory (Automation of lists): it lists active health professionals, having a legal license to practice their profession. This register is the only exhaustive database of nurses practising in France, which is continuously updated. it also makes it possible to identify the nursing profession. It was enriched by INSEE on the 2006 data, the only data available at the time of this study, in order to distinguish employees in the public hospital from those in the private sector. it covers the entire field of active nurses practising and residing in metropolitan France. It surveys a relatively small number of nurses each year (2 700 in 2008).- The National Inter-Scheme Health Insurance Information System (SNIIR-AM) makes it possible to identify liberal nurses exhaustively.

Nursing burnout Statistics: Considering the pandemic and post-pandemic time, nursing burnout has become a significant issue in the healthcare industry. We have seen the problems faced by the nurses during the lockdown about they were treated and what kind of exhaustion they faced. But even after 2 years of that event the healthcare industry is still facing the same problem. The major reason behind this problem is the low level of hiring in the nursing segment in healthcare units around the world. These nursing burnout statistics are written with insights from around the globe to understand the severity of the problem. It has included various types of content along with interesting graphics for a better level of understanding. Editor’s Choice In the United States of America, there are around 2.7 million nurses who reported feeling burnout during work in 2022. As of today, Belgium has 60% of the burnout nurses while there are 40% in Uganda. According to Nursing burnout statistics, there are around 81.2% of female nurses and 18.8% of male nurses feel burned out during the sessions of their job. 5% of the nurses in China had suicidal thoughts while 17% of nurses in Australia took mental health support. 6% belonged to the age group of 26 years to 30 years facing the highest number of burned out in all the other age groups. On average today, nursing burnout statistics say that low staffing resulting in 80.19% was the main reason for burnout. 46% and 22% belong to the reasons of ethical dilemmas physical attacks from patients or patients’ families in the United States of America. According to the Nursing burnout statistics, it has been estimated that the world will face a shortage of nurses by the year 2030 resulting in a number of 13 million. As of today, the turnover rate of nurses due to burnout is 27.1%. For every 1% of the turnover in the nursing field, it will cost hospitals around $2,62,300 every year.

Note: For information on data collection, confidentiality protection, nonsampling error, subject definitions, and guidance on using the data, visit the 2020 Census Demographic and Housing Characteristics File (DHC) Technical Documentation webpage..To protect respondent confidentiality, data have undergone disclosure avoidance methods which add "statistical noise" - small, random additions or subtractions - to the data so that no one can reliably link the published data to a specific person or household. The Census Bureau encourages data users to aggregate small populations and geographies to improve accuracy and diminish implausible results..For 2020 Group Quarters Definitions and Code List, see Appendix B in the 2020 Census Demographic and Housing Characteristics File (DHC) Technical Documentation..Source: U.S. Census Bureau, 2020 Census Demographic and Housing Characteristics File (DHC)

The United States senior living market, valued at $112.93 billion in 2025, is experiencing robust growth, projected to expand at a Compound Annual Growth Rate (CAGR) of 5.86% from 2025 to 2033. This expansion is fueled by several key drivers. The aging population, particularly the baby boomer generation, is a significant factor, creating an increasing demand for assisted living, independent living, memory care, and nursing care facilities. Furthermore, rising disposable incomes and increasing awareness of the benefits of senior living communities contribute to market growth. Technological advancements in senior care, such as telehealth and remote monitoring, are also enhancing the quality of life for residents and boosting market appeal. However, the market faces some restraints, including the rising costs of healthcare and senior care services, potentially limiting accessibility for some segments of the population. Furthermore, staffing shortages within the industry represent a significant challenge. The market is segmented by property type, with assisted living, independent living, and memory care facilities representing the largest segments. Key states driving market growth include New York, Illinois, California, North Carolina, and Washington, reflecting higher concentrations of the senior population and higher disposable incomes. Major players in the market such as Ensign Group Inc, Sunrise Senior Living, Brookdale Senior Living Inc, and Atria Senior Living Inc, compete fiercely, driving innovation and service improvements. The forecast period (2025-2033) anticipates continued growth, driven by the ongoing demographic shifts and increased demand for high-quality senior care options. Strategic partnerships, acquisitions, and investments in technology are likely to shape the competitive landscape in the coming years. The industry will continue to adapt to meet the evolving needs of the aging population, focusing on personalized care, innovative technologies, and cost-effective solutions. This comprehensive report provides an in-depth analysis of the booming United States senior living market, covering the period from 2019 to 2033. With a base year of 2025 and a forecast period spanning 2025-2033, this report is an invaluable resource for investors, industry professionals, and anyone seeking to understand the dynamics of this rapidly evolving sector. The report leverages extensive data analysis to provide insightful projections and uncover key trends shaping the future of senior care in the US. Expect detailed breakdowns of key segments, including assisted living, independent living, memory care, and nursing care, across major states like California, New York, Illinois, North Carolina, and Washington. Recent developments include: July 2023: Spring Cypress senior living site expansion is set to open at the end of 2024 and will consist of three phases. The first phase of the expansion will include 19 independent-living, two-bedroom cottages. The second phase will include 24 townhomes. The third phase will feature 95 apartments. The final phase will feature a resort with several luxury amenities., Apr 2023: For seniors looking for innovative, high-quality care, Avista Senior Living is transitioning away from its SafelyYou partnership to empower safer, more personalized dementia care with real-time, AI video and remote clinical experts 24/7.. Key drivers for this market are: 4., Increase in Aging Population Driving the Market4.; Healthcare and Long-term Care Needs Driving the Market. Potential restraints include: 4., High Affordability and Cost of Care Affecting the Market4.; Staffing and Workforce Challenges Affecting the Market. Notable trends are: Senior Housing Witnessing Increased Demand.

Demographics of participating certified nursing assistants working in acute care hospitals during the COVID-19 pandemic.

Introduction

Nursing Burnout Statistics: Nursing burnout has emerged as a significant global concern, characterized by emotional exhaustion, depersonalization, and a diminished sense of personal accomplishment. A 2023 meta-analysis encompassing 94 studies reported a global prevalence of nursing burnout at 30%, with variations across regions and specialties.

In the United States, a 2020 survey indicated that nearly 62% of nurses experienced burnout, with the rate rising to 69% among those under 25 years old. Similarly, a 2023 study found that 91.1% of nurses reported high levels of burnout, compared to 79.9% among other healthcare workers.

Contributing factors to this phenomenon include understaffing, extended work hours, and high patient-to-nurse ratios. The American Nurses Foundation reported in 2023 that 56% of nurses experienced burnout, with 64% feeling significant job-related stress. Moreover, 40% of nurses felt they had poor control over their workload, describing their daily work as hectic or intense.

Addressing nursing burnout necessitates systemic changes, including improved staffing, supportive work environments, and accessible mental health resources. Implementing such measures is crucial to safeguard both healthcare providers and patients.

The National Medical Expenditure Survey (NMES) series provides information on health expenditures by or on behalf of families and individuals, the financing of these expenditures, and each person's use of services. The Institutional Population Component (IPC) is a survey of nursing and personal care homes and facilities for the mentally retarded and residents admitted to those facilities. Information was collected on facilities and their residents at several points during 1987. Use and expenditure estimates for institutionalized persons can be combined with those from the Household component for composite estimates covering most of the civilian population. Information on facilities and residents was collected from facility administrators and caregivers, with additional information collected from next of kin or other knowledgeable respondents. These data were supplemented by Medicare claims information for covered sample persons. Public Use Tape 17 is the first release of expenditure and use data from the IPC. It provides demographic information such as race, age, sex, education, veteran status, medical history, income, family, date of admission, vital status, residence history, use of long-term care, insurance coverage, and home ownership. Additional information covers the respondent's institutional stays in 1987, dates and lengths of stays, and characteristics of the institution, including size, type, ownership, and certification status. Also provided are data on expenses and sources of payments for services rendered in nursing and personal care homes.

This metric is derived by the LGA (Local Government Association) from the CQC (Care Quality Commission's) Care Directory file. The file contains a complete list of the places in England where care is regulated by CQC. Using the National Statistics Postcode Lookup, we have counted the number of nursing homes located in an area and then created a crude rate per 1,000 resident population.

A care home is a place where personal care and accommodation are provided together. People may live in the service for short or long periods. For many people, it is their sole place of residence and so it becomes their home, although they do not legally own or rent it. Both the care that people receive and the premises are regulated.

In addition, qualified nursing care is provided to ensure that the full needs of the person using the service are met.

Examples of services that fit under this category:

Nursing home Convalescent home with nursing Respite care with nursing Mental health crisis house with nursing

Data is extracted once a quarter and provides a snapshot in time. It should be noted that due to changes to postcodes, a small proportion cannot be matched to the latest National Statistics Postcode Lookup file and are therefore excluded from these figures.

Data is Powered by LG Inform Plus and automatically checked for new data on the 4th of each month and shows MSOAs (Middle Layer Super Output Areas) at the 2021 Census Geography.

*Total number of participants with available information.

Brazil Working Age Population: Labour Force: Unemployed: RN: Male data was reported at 124.000 Person th in Mar 2020. This records an increase from the previous number of 88.000 Person th for Dec 2019. Brazil Working Age Population: Labour Force: Unemployed: RN: Male data is updated quarterly, averaging 98.000 Person th from Mar 2012 (Median) to Mar 2020, with 33 observations. The data reached an all-time high of 138.000 Person th in Mar 2017 and a record low of 74.000 Person th in Dec 2013. Brazil Working Age Population: Labour Force: Unemployed: RN: Male data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Global Database’s Brazil – Table BR.GBA012: Continuous National Household Sample Survey: Working Age Population: Labour Force: Unemployed: by Sex.

The National Medical Expenditure Survey (NMES) series provides information on health expenditures by or on behalf of families and individuals, the financing of these expenditures, and each person's use of services. The Institutional Population Component (IPC) is a survey of nursing and personal care homes and facilities for the mentally retarded and residents admitted to those facilities. Information was collected on facilities and their residents at several points during 1987. Use and expenditure estimates for institutionalized persons can be combined with those from the Household Component for composite estimates covering most of the civilian population. Information on facilities and residents was collected from facility administrators and caregivers, with additional information collected from next-of-kin or other knowledgeable respondents. These data were supplemented by Medicare claims information for covered sample persons. Research File 36 provides information from the Medicare Automated Data Retrieval System (MADRS) for a subset of persons from File 1 of NATIONAL MEDICAL EXPENDITURE SURVEY, 1987: INSTITUTIONAL POPULATION COMPONENT, FACILITY USE AND EXPENDITURE DATA FOR NURSING AND PERSONAL CARE HOME RESIDENTS PUBLIC USE TAPE 17 and a subset of persons from File 1 of NATIONAL MEDICAL EXPENDITURE SURVEY, 1987: INSTITUTIONAL POPULATION COMPONENT, FACILITY USE AND EXPENDITURE DATA FOR RESIDENTS OF FACILITIES FOR PERSONS WITH MENTAL RETARDATION RESEARCH FILE 22R. Six data files are provided for Research File 36R, all of which contain demographic data such as age, sex, and race. Other variables common to all parts are facility type, person number, sample person identifier, reimbursement amount by Medicare, and total charges reported by provider. Parts 1-6 cover, respectively, Part B Payment Records, Part B Outpatient Bill Records, Part B Home Health Bill Records, Part A Inpatient/Skilled Nursing Facilities Bill Records, Part A Home Health Bill Records, and Part A Hospice Bill Records.

This metric is derived by the LGA (Local Government Association) from the CQC (Care Quality Commission's) Care Directory file. The file contains a complete list of the places in England where care is regulated by CQC. Using the National Statistics Postcode Lookup, we have counted the number of nursing homes located in an area and then created a crude rate per 1,000 resident population.

A care home is a place where personal care and accommodation are provided together. People may live in the service for short or long periods. For many people, it is their sole place of residence and so it becomes their home, although they do not legally own or rent it. Both the care that people receive and the premises are regulated.

In addition, qualified nursing care is provided to ensure that the full needs of the person using the service are met.

Examples of services that fit under this category:

Nursing home Convalescent home with nursing Respite care with nursing Mental health crisis house with nursing

Data is extracted once a quarter and provides a snapshot in time. It should be noted that due to changes to postcodes, a small proportion cannot be matched to the latest National Statistics Postcode Lookup file and are therefore excluded from these figures.

Data is Powered by LG Inform Plus and automatically checked for new data on the 3rd of each month.

Introduction

Nursing Home Care Statistics: Nursing home care is an essential service that provides long-term medical and personal assistance to elderly individuals who cannot live independently due to physical or cognitive impairments. As the global population ages, there is an increasing demand for skilled nursing services within long-term care facilities, such as nursing homes. This demographic shift places substantial pressure on healthcare systems and the infrastructure supporting long-term care.

These facilities face numerous challenges, including staff shortages, escalating operational costs, and the continual need to enhance the quality of care provided. Nonetheless, government programs like Medicaid remain a critical funding source, ensuring that individuals who need assistance have access to necessary care.

These statistics offer an in-depth analysis of the nursing home care sector, highlighting the key factors influencing the market. It explores the financial landscape, regulatory developments, and demographic changes that shape the industry. The aim is to provide a comprehensive understanding of the current state of nursing home care, delivering valuable insights for industry professionals and stakeholders.

This metric is derived by the LGA (Local Government Association) from the CQC (Care Quality Commission's) Care Directory file. The file contains a complete list of the places in England where care is regulated by CQC. Using the National Statistics Postcode Lookup, we have counted the number of nursing homes located in an area and then created a crude rate per 1,000 resident population.

A care home is a place where personal care and accommodation are provided together. People may live in the service for short or long periods. For many people, it is their sole place of residence and so it becomes their home, although they do not legally own or rent it. Both the care that people receive and the premises are regulated.

In addition, qualified nursing care is provided to ensure that the full needs of the person using the service are met.

Examples of services that fit under this category:

Nursing home Convalescent home with nursing Respite care with nursing Mental health crisis house with nursing

Data is extracted once a quarter and provides a snapshot in time. It should be noted that due to changes to postcodes, a small proportion cannot be matched to the latest National Statistics Postcode Lookup file and are therefore excluded from these figures. Data is Powered by LG Inform Plus and automatically checked for new data on the 3rd of each month.

This dataset supports the New York State Department of Health Nursing Home Profile public website. The dataset includes facility demographic information, inspection results, and complaint summary and state enforcement fine data. Visit the Nursing Home Profile website at: https://profiles.health.ny.gov/nursing_home/

A. SUMMARY This archived dataset includes data for population characteristics that are no longer being reported publicly. The date on which each population characteristic type was archived can be found in the field “data_loaded_at”. B. HOW THE DATASET IS CREATED Data on the population characteristics of COVID-19 cases are from:  * Case interviews  * Laboratories  * Medical providers    These multiple streams of data are merged, deduplicated, and undergo data verification processes.   Race/ethnicity * We include all race/ethnicity categories that are collected for COVID-19 cases. * The population estimates for the "Other" or “Multi-racial” groups should be considered with caution. The Census definition is likely not exactly aligned with how the City collects this data. For that reason, we do not recommend calculating population rates for these groups. Gender * The City collects information on gender identity using these guidelines. Skilled Nursing Facility (SNF) occupancy * A Skilled Nursing Facility (SNF) is a type of long-term care facility that provides care to individuals, generally in their 60s and older, who need functional assistance in their daily lives.  * This dataset includes data for COVID-19 cases reported in Skilled Nursing Facilities (SNFs) through 12/31/2022, archived on 1/5/2023. These data were identified where “Characteristic_Type” = ‘Skilled Nursing Facility Occupancy’. Sexual orientation * The City began asking adults 18 years old or older for their sexual orientation identification during case interviews as of April 28, 2020. Sexual orientation data prior to this date is unavailable. * The City doesn’t collect or report information about sexual orientation for persons under 12 years of age. * Case investigation interviews transitioned to the California Department of Public Health, Virtual Assistant information gathering beginning December 2021. The Virtual Assistant is only sent to adults who are 18+ years old. Learn more about our data collection guidelines pertaining to sexual orientation. Comorbidities * Underlying conditions are reported when a person has one or more underlying health conditions at the time of diagnosis or death. Homelessness Persons are identified as homeless based on several data sources: * self-reported living situation * the location at the time of testing * Department of Public Health homelessness and health databases * Residents in Single-Room Occupancy hotels are not included in these figures. These methods serve as an estimate of persons experiencing homelessness. They may not meet other homelessness definitions. Single Room Occupancy (SRO) tenancy * SRO buildings are defined by the San Francisco Housing Code as having six or more "residential guest rooms" which may be attached to shared bathrooms, kitchens, and living spaces. * The details of a person's living arrangements are verified during case interviews. Transmission Type * Information on transmission of COVID-19 is based on case interviews with individuals who have a confirmed positive test. Individuals are asked if they have been in close contact with a known COVID-19 case. If they answer yes, transmission category is recorded as contact with a known case. If they report no contact with a known case, transmission category is recorded as community transmission. If the case is not interviewed or was not asked the question, they are counted as unknown. C. UPDATE PROCESS This dataset has been archived and will no longer update as of 9/11/2023. D. HOW TO USE THIS DATASET Population estimates are only available for age groups and race/ethnicity categories. San Francisco po

AimThis study aimed to investigate the current state and influencing factors of transition shock among nursing students during clinical practice.BackgroundTransition shock among nursing students can significantly impact their academic performance and well-being. Understanding the key factors contributing to this shock is crucial for developing effective support strategies and improving overall educational outcomes.MethodsThis cross-sectional study was conducted on October 8–28, 2022 at four tertiary Class A hospitals in Changsha, Hunan Province, located in south-central China. A convenience sample of 620 full-time nursing students was surveyed to collect demographic information and assess their transition shock levels using the transition shock scale. Data analysis included descriptive statistics, nonparametric tests, correlation analysis, and multiple regression. STROBE checklist was used for the methodology in this study.ResultsA total of 564 nursing students were ultimately included in the study. The average overall transition shock score was 46 (41, 52). Attitude toward the nursing profession had an independent influence on nursing students’ transition shock (p < 0.05). Additionally, the number of night shifts, choosing nursing as the first choice, being class leaders, education level, future plans, school scale, and monthly household income contributed to different dimensions of transition shock (p < 0.05).Conclusion and implications for nursing policyNursing students experience moderate transition shock, with attitude towards nursing as a key influencing factor. Clinical managers should implement targeted measures to better support nursing students improve their attitudes.

Comprehensive population and demographic data for Jaraud R.N. Village