In 2021, there were ** million family caregivers across the United States. That year, California registered the country's highest number of family caregivers, followed by Texas, Florida, and New York. On the other hand, with an estimated ****** people, Wyoming registered the lowest number of family caregivers in the U.S. in 2021.

In 2021, a significant part of the United State´s population were unpaid family caregivers. That year, **** percent of Mississippi residents were unpaid caregivers, the ******* share in the country and closely followed by West Virginia. On the other hand, only ***** percent of North Dakota residents provided free care for their relatives in 2021.

The national general nursing home nursing personnel and caregiver statistics form, main fields: county (city), male nursing personnel 21 to 40 years old, male nursing personnel 41 to 60 years old, male nursing personnel 61 to 70 years old, female nursing personnel 21 to 40 years old, female nursing personnel 41 to 60 years old, female nursing personnel 61 to 70 years old, male caregiver, female caregiver.

The National Family Caregiver Support Program is one of the federal Older Americans Act funded initiatives. This report reflects results collected on a quarterly basis and includes key demographics on individuals served with program dollars plus general overall numbers of caregivers served by various methods during the quarter. Methods of service include support groups, telephone, e-mail, education sessions, outreach sessions, newsletters and newspaper.

In 2024, there are approximately 11.93 million Alzheimer or other dementia unpaid caregivers in the United States. These caregivers provide a total of 19.16 billion hours of care which equates to roughly 413 billion U.S. dollars in value. The value to unpaid care given by Alzheimer/dementia caregivers has been increasing through the years.

The transition to parenthood can be challenging, with consequences to mental health and wellbeing for many first-time parents. While parents are often well-supported to care for their children, there are minimal supports available to care for themselves. Therefore, in this focus group study, we explored caregiver and service provider perspectives on what is necessary, feasible, and acceptable from a program designed to support caregivers' self-care and wellbeing from conception to 12 months post birth? We conducted a total of five focus groups with 34 participants.

IH467 - Average weekly hours of care provided by caregivers aged 18 years and older. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Average weekly hours of care provided by caregivers aged 18 years and older...

Financial overview and grant giving statistics of National Family Caregivers Assoc

The Older Persons and Informal Caregivers Survey - Minimum DataSet (TOPICS-MDS) is a public data repository which contains information on the physical and mental health and well-being of older persons and informal caregivers and their care use across the Netherlands. The database was developed at the start of The National Care for the Elderly Programme (‘Nationaal Programma Ouderenzorg’ - NPO) on behalf of the Organisation of Health Research and Development (ZonMw - The Netherlands), in part to ensure uniform collection of outcome measures, thus promoting comparability between studies.
Between 2008 en 2016, 53 different research projects have contributed data to this initiative, resulting in a pooled dataset with cross-sectional and (partly) longitudinal data of >43,000 older persons and >9,000 informal caregivers. Out of these numbers, a number of 7,600 concerns care receiver - caregiver dyads of whom information on both the care receiver and caregiver is available.
The 'TOPICS-MDS NPO care receiver-caregiver dyads' dataset contains care receiver (older person) and informal caregiver data.

In the United States, according to a survey in 2023, workers who were unpaid caregivers were more likely to report being of Hispanic/Latino descent compared to their non-caregivers counterpart. This statistic depicts the percentage of unpaid caregiving vs. non-caregiving workers in the United States in 2023, by race/ethnicity.

This statistic displays the distribution of caregivers in the U.S. as of 2019, by the number of hours per day they usually spent providing care. It was found that 55 percent of caregivers spent 6 or more hours per day providing care.

BackgroundOver the past two decades, the focus of mental health care has shifted from institutionalisation to community-based programs and short hospital stays. This change means that there is an increased role for caregivers, mostly family members, in managing persons with mental illness. Although there is evidence to support the benefits of deinstitutionalisation of mental health care, there are also indications of substantial burden experienced by caregivers; the evidence of which is limited in sub-Saharan Africa. However, knowledge of the nature and extent of this burden can inform the planning of mental health services that will not only benefit patients, but also caregivers and households.ObjectiveTo systematically review the available evidence on the economic burden of severe mental illness on primary family caregivers in sub-Saharan Africa.MethodsA comprehensive search was conducted in Pubmed, CINAHL, Econlit and Web of Science with no date limitations up to September 2016 using keywords such as "burden", "cost of illness" and "economic burden" to identify relevant published literature. Articles were appraised using a standardised data extraction tool covering themes such as physical, psychological and socioeconomic burden.ResultsSeven papers were included in the review. Caregivers were mostly family members with a mean age of 46.34, female and unemployed. Five out of seven studies (71%) estimated the full economic burden of severe mental illness on caregivers. The remainder of studies just described the caregiver burden. All seven papers reported moderate to severe caregiver burden characterised by financial constraint, productivity loss and lost employment. The caregiver’s level of income and employment status, severity of patient's condition and duration of mental illness were reported to negatively affect the economic burden experienced by caregivers.ConclusionThere is paucity of studies reporting the burden of severe mental illness on caregivers in sub-Saharan Africa. Further research is needed to present the nature and extent of this burden to inform service planning and policymaking.

The Older Persons and Informal Caregivers Survey - Minimum DataSet (TOPICS-MDS) is a public data repository which contains information on the physical and mental health and well-being of older persons and informal caregivers and their care use across the Netherlands. The database was developed at the start of The National Care for the Elderly Programme (‘Nationaal Programma Ouderenzorg’ - NPO) on behalf of the Organisation of Health Research and Development (ZonMw - The Netherlands), in part to ensure uniform collection of outcome measures, thus promoting comparability between studies.Since September 2014, TOPICS-MDS data are also collected within the ZonMw funded ‘Memorabel’ programme, that is specifically aimed at improving the quality of life for people with dementia and the care and support provided to them. In Memorabel round 1 through 4, 11 different research projects have collected TOPICS-MDS data, which has resulted in a pooled database with cross-sectional and (partly) longitudinal data of 1,400 older persons with early onset or advanced dementia and about 950 informal caregivers. Out of these numbers, a number of 919 concerns care receiver - caregiver dyads of whom information on both the care receiver and caregiver is available.More background information on both NPO and Memorabel 1-4 can be found in the overall information on TOPICS-MDS under the tab ‘Data files’ in DANS EASY (doi.org/10.17026/dans-xvh-dbbf).The 'TOPICS-MDS Memorabel 1-4 care receiver' dataset, as part of the Memorabel 1-4 database, contains no informal caregiver data, only care receiver (older person) data. The dataset includes data on age, gender, country of birth, level of education, marital status and living situation of the care receiver, as well as data on physical and emotional health and well-being, quality of life, daily functioning and use of care, such as GP visits, home care, day care/treatment and admittance in a hospital, home for the aged or nursing home.Although the TOPICS-MDS survey instrument for the care receiver was updated in 2017, the same initial version of the instrument was used in both NPO and Memorabel 1-4 projects. The TOPICS-MDS care receiver data from NPO and Memorabel 1-4 can therefore be easily merged.

Source of information: Long-term care institutions and related management information system data produced by the Ministry of Health and Welfare.Data period: From January 1, 2014 to December 31, 2014.Instructions for filling out the form:1. The number of care service personnel in the county and the whole country are calculated on a per capita basis (as the long-term care personnel were not limited to one place before September 1, 2013, the registration number is used for statistics).2. Personnel with certification documents for long-term care personnel can apply for registration, and there may be duplicate values among various professions.3. The statistical types of care service personnel institutions include: home-based, community-based, residential, comprehensive long-term care institutions established in accordance with the Long-term Care Services Act, as well as other statutory elderly welfare institutions, nursing homes, and institutions for people with disabilities (excluding C-base).4. Compiled on April 7, 2015 of the Republic of China.

Financial overview and grant giving statistics of Caregivers Support Network

Special Care Allowance for Low and Middle-Income Elderly People in Taichung City: Caregiver Overview

Population aged 15 and older receiving federal tax credits for providing care to relatives or friends with a long-term illness, disability or aging needs, 2012.

IntroductionDue to its increasing prevalence, dementia is currently one of the most extensively studied health issues. Although it represents a comparatively less-addressed issue, the caregiving burden for dementia patients is likewise receiving attention.MethodsTo identify determinants of depression in dementia caregivers, using Community Health Survey (CHS) data collected by the Korea Disease Control and Prevention Agency (KDCA). By setting “dementia caregiver's status of residence with patient” as a standard variable, we selected corresponding CHS data from 2011 to 2019. After refining the data, we split dementia caregiver and general population groups among the dataset (n = 15,708; common variables = 34). We then applied three machine learning algorithms: Extreme Gradient Boosting (XGBoost), Logistic Regression (LR), and Support Vector Classifier (SVC). Subsequently, we selected XGBoost, as it exhibited superior performance to the other algorithms. On the feature importance of XGBoost, we performed a multivariate hierarchical regression analysis to validate the depression causes experienced in each group. We validated the results of the statistical model analysis by performing Welch's t-test on the main determinants exhibited within each group.ResultsBy verifying the results from machine learning via statistical model analysis, we found “sex” to highly impact depression in dementia caregivers, whereas “status of economic activities” is significantly associated with depression in the general population.DiscussionThe evident difference in causes of depression between the two groups may serve as a basis for policy development to improve the mental health of dementia caregivers.

Raw dataset for study entitled "INFORMAL CAREGIVERS BURDEN AMONG STROKE PATIENTS IN EAST-COAST MALAYSIA: A SHORT-TERM LONGITUDINAL STUDY"

This study is part of study funded by Newton Ungku Omar Fund (2020-2021) under grant for “A Scalable Solution for Supporting Informal Stroke Caregivers in Malaysia: Systematic Development and Feasibility Study” Malaysian Ministry of Education (203.PPSP.678003) and Medical Research Council, United Kingdom (MR/T018968/1).

Please note that this data is in raw csv form, imported from REDCap. due to REDCap system, the raw file need to be relabel and relevel to reflect the original score or response.

Data dictionary provided for data relabel and relevel purpose.

R script also available to convert the raw csv into dataset with appropriate label and level

Special Care Subsidy for Low-Income Elderly in Taichung City - Overview of Caregivers