Census health state prevalence rates interpolated between 2011 and 2021 used in the estimation of healthy life expectancy.

Healthcare expenditure statistics, produced to the international definitions of the System of Health Accounts 2011.

Subcategories may not sum to aggregates due to rounding.

This table provides an overview of the key figures on health and care available on StatLine. All figures are taken from other tables on StatLine, either directly or through a simple conversion. In the original tables, breakdowns by characteristics of individuals or other variables are possible. The period after the year of review before data become available differs between the data series. The number of exam passes/graduates in year t is the number of persons who obtained a diploma in school/study year starting in t-1 and ending in t.

Data available from: 2001

Status of the figures: 2024: The available figures are definite. 2023: Most available figures are definite Figures are provisional for: - perinatal mortality at pregnancy duration at least 24 weeks; - diagnoses known to the general practitioner; - supplied drugs; - AWBZ/Wlz-funded long term care; - persons employed in health and welfare; - persons employed in healthcare; - Mbo health care graduates; - Hbo nursing graduates / medicine graduates (university); - expenditures on health and welfare; - average distance to facilities. 2022: Most available figures are definite, figures are provisional for: - hospital admissions by some diagnoses; - physicians and nurses employed in care; - persons employed in health and welfare; - persons employed in healthcare; - expenditures on health and welfare; - profitability and operating results at institutions. 2021: Most available figures are definite, figures are provisional for: - expenditures on health and welfare. 2020 and earlier: All available figures are definite.

Changes as of 18 december 2024: - Distance to facilities: the figures withdrawn on 5 June have been replaced (unchanged). - Youth care: the previously published final results for 2021 and 2022 have been adjusted due to improvements in the processing. - Due to a revision of the statistics Expenditure on health and welfare 2021, figures for expenditure on health and welfare care have been replaced from 2021 onwards. - Due to the revision of the National Accounts, the figures on persons employed in health and welfare have been replaced for all years. - AWBZ/Wlz-funded long term care: from 2015, the series Wlz residential care including total package at home has been replaced by total Wlz care. This series fits better with the chosen demarcation of indications for Wlz care.

More recent figures have been added for: - crude birth rate; - live births to teenage mothers; - causes of death; - perinatal mortality at pregnancy duration at least 24 weeks; - life expectancy in perceived good health; - diagnoses known to the general practitioner; - supplied drugs; - AWBZ/Wlz-funded long term care; - youth care; - persons employed in health and welfare; - persons employed in healthcare; - expenditures on health and welfare; - average distance to facilities.

When will new figures be published? New figures will be published in July 2025.

According to a survey, 55 percent of CIOs and CMIOs of the top health systems in the United States reported they were planning to spend around five to 20 percent more on interoperability in 2023 compared to 2022. A further 43 percent said they had anticipated to spend around the same amount in 2023 as in 2022.

This dataset provides Census 2021 estimates that classify usual residents in households in England and Wales by general health, tenure, and by age. The estimates are as at Census Day, 21 March 2021.

There is evidence of people incorrectly identifying their type of landlord as ”Council or local authority” or “Housing association”. You should add these two categories together when analysing data that uses this variable. Read more about this quality notice.

Estimates for single year of age between ages 90 and 100+ are less reliable than other ages. Estimation and adjustment at these ages was based on the age range 90+ rather than five-year age bands. Read more about this quality notice.

Area type

Census 2021 statistics are published for a number of different geographies. These can be large, for example the whole of England, or small, for example an output area (OA), the lowest level of geography for which statistics are produced.

For higher levels of geography, more detailed statistics can be produced. When a lower level of geography is used, such as output areas (which have a minimum of 100 persons), the statistics produced have less detail. This is to protect the confidentiality of people and ensure that individuals or their characteristics cannot be identified.

Lower tier local authorities

Lower tier local authorities provide a range of local services. There are 309 lower tier local authorities in England made up of 181 non-metropolitan districts, 59 unitary authorities, 36 metropolitan districts and 33 London boroughs (including City of London). In Wales there are 22 local authorities made up of 22 unitary authorities.

Coverage

Census 2021 statistics are published for the whole of England and Wales. However, you can choose to filter areas by:

• country - for example, Wales
• region - for example, London
• local authority - for example, Cornwall
• health area – for example, Clinical Commissioning Group
• statistical area - for example, MSOA or LSOA

General health

A person's assessment of the general state of their health from very good to very bad. This assessment is not based on a person's health over any specified period of time.

Tenure of household

Whether a household owns or rents the accommodation that it occupies.

Owner-occupied accommodation can be:

• owned outright, which is where the household owns all of the accommodation
• with a mortgage or loan
• part-owned on a shared ownership scheme

Rented accommodation can be:

• private rented, for example, rented through a private landlord or letting agent
• social rented through a local council or housing association

This information is not available for household spaces with no usual residents.

Age (C)

A person’s age on Census Day, 21 March 2021 in England and Wales. Infants aged under 1 year are classified as 0 years of age. It is categorised as follows:

• Aged 24 years and under
• Aged 25 to 34 years
• Aged 35 to 49 years
• Aged 50 to 64 years
• Aged 65 years and over

Underlying data used to construct the Health Index for England including indicator details.

Estimates of healthcare expenditure in the UK to the definitions contained in the System of Health Accounts (SHA, OECD 2000)

Source agency: Office for National Statistics

Designation: Official Statistics not designated as National Statistics

Language: English

Alternative title: Expenditure on Healthcare in the UK

According to a survey of clinicians and IT decision makers carried out in the United States and the United Kingdom in 2021, ** percent of respondents believed that telehealth had the biggest impact on healthcare services over the last year. Furthermore, ** percent of respondents thought that connected health devices had made a large impact on healthcare.

Age-standardised rates based on data from the European Health Interview Survey (EHIS), 2019 to 2020, for the UK by sex and country.

United States US: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health data was reported at 21.365 % in 2014. This records a decrease from the previous number of 21.927 % for 2013. United States US: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health data is updated yearly, averaging 23.966 % from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 26.623 % in 1998 and a record low of 21.365 % in 2014. United States US: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Health Statistics. Out of pocket expenditure is any direct outlay by households, including gratuities and in-kind payments, to health practitioners and suppliers of pharmaceuticals, therapeutic appliances, and other goods and services whose primary intent is to contribute to the restoration or enhancement of the health status of individuals or population groups. It is a part of private health expenditure.; ; World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).; Weighted average;

The Updated Systematic Review reviews the January 2010 to August 2013 health IT literature to examine the effects of health IT across three aspects of care: efficiency, quality, and safety. This report updates previous systematic reviews of the health IT literature, focusing specifically on identifying and summarizing the evidence related to the use of health IT as outlined in the Meaningful Use regulations. The review examined the literature to determine the article authors' findings related to the effects or associations of a meaningful use functionality on an aspect of care. Each article's findings was scored as positive (defined as: health IT improved key aspect of care but none worse off), mixed-positive (defined as: positive effects of health IT outweight negative effects), neutral (defined as: health IT not associated with change in outcome), or negative (defined as: negative effects of health IT on outcome). The full review data: article, related meaningful use functionality, aspect of care, and author sentiment are provided in this dataset.

This chapter discussed some of the algorithmic choices one encounters when designing an IVHM system. While it would be generally desirable to be able to pick a particular set of algorithms for a particular problem, the reality is a bit more complex. Depending on the budget, the performance requirements, the computational constraints, sensor availability, access to historical data, operational and environmental conditions, robustness to changing system configurations, algorithm maintenance needs, etc., no one algorithm will perform best in all situations. Indeed, it is necessary to evaluate these constraints during the algorithm design process and determine the best choice on a case-by-case analysis. The trade-offs between different choices are very real, and sometimes no solution can be found, which means that some of the constraints have to be relaxed. The simplest solution is generally preferred over a more complex one, but it is also important to consider that there is no free lunch. Finally, any health management solution also has to undergo verification and validation (V&V) and, in some cases, certification. Some of these issues are topics of other chapters in this book.

Dataset

This dataset was created by Lauren Ackerman

Released under Other (specified in description)

Contents

The Public Health Agency of Sweden annually conducts a national public health survey, Health on Equal Terms, including a sample of 20 000 people aged 16-84 years. The survey, which was conducted for the first time in 2004, is an on going collaboration between the The Public Health Agency of Sweden and county councils/regions in Sweden and is carried out with help from Statistics Sweden (SCB). All studies, since 2004, can be found under the tab Related studies.

The survey is voluntary and done with the purpose to investigate the health in the population and to show changes in the population's health over time as a follow up of the national health politics.

The sample is randomly drawn from the Statistics Sweden's population register and includes 20 000 people aged 16-84 years. The personal data is confidential and protected by law and those working with this survey are obliged to practice professional secrecy. Individual answers can not be identified in the results.

The study participants are since 2007 given the opportunity to answer the survey on the web. Since 2012, the web survey is also in English, and since 2014 also in Finnish.

The questionnaire includes about 85 questions. Each county council has its own introduction letter and the questions has been prepared in collaboration with representatives from a number of different community medicine units. The origin and quality of the questions are described in the report "Objective and background of the questions in the national public health survey". Most questions recur each year, but questions can in particular cases be replaced by other questions of good quality and national relevance.

The questions in the national public health survey cover physical and mental health, consumption of pharmaceuticals, contact with healthcare services, dental health, living habits, financial conditions, work and occupation, work environment, safety and social relationships. Data regarding education is collected from the education register, and data of income, economic support, sickness benefits and pensions from the income an taxation register.

Purpose:

The aim is to investigate the health in the population and to show changes in the population's health over time as a follow up of the national health politics.

The data collection is ongoing, during the year 2014.

The NIHR is one of the main funders of public health research in the UK. Public health research falls within the remit of a range of NIHR Research Programmes, NIHR Centres of Excellence and Facilities, plus the NIHR Academy. NIHR awards from all NIHR Research Programmes and the NIHR Academy that were funded between January 2006 and the present extraction date are eligible for inclusion in this dataset. An agreed inclusion/exclusion criteria is used to categorise awards as public health awards (see below). Following inclusion in the dataset, public health awards are second level coded to one of the four Public Health Outcomes Framework domains. These domains are: (1) wider determinants (2) health improvement (3) health protection (4) healthcare and premature mortality.More information on the Public Health Outcomes Framework domains can be found here.This dataset is updated quarterly to include new NIHR awards categorised as public health awards. Please note that for those Public Health Research Programme projects showing an Award Budget of £0.00, the project is undertaken by an on-call team for example, PHIRST, Public Health Review Team, or Knowledge Mobilisation Team, as part of an ongoing programme of work.Inclusion criteriaThe NIHR Public Health Overview project team worked with colleagues across NIHR public health research to define the inclusion criteria for NIHR public health research awards. NIHR awards are categorised as public health awards if they are determined to be ‘investigations of interventions in, or studies of, populations that are anticipated to have an effect on health or on health inequity at a population level.’ This definition of public health is intentionally broad to capture the wide range of NIHR public health awards across prevention, health improvement, health protection, and healthcare services (both within and outside of NHS settings). This dataset does not reflect the NIHR’s total investment in public health research. The intention is to showcase a subset of the wider NIHR public health portfolio. This dataset includes NIHR awards categorised as public health awards from NIHR Research Programmes and the NIHR Academy. This dataset does not currently include public health awards or projects funded by any of the three NIHR Research Schools or any of the NIHR Centres of Excellence and Facilities. Therefore, awards from the NIHR Schools for Public Health, Primary Care and Social Care, NIHR Public Health Policy Research Unit and the NIHR Health Protection Research Units do not feature in this curated portfolio.DisclaimersUsers of this dataset should acknowledge the broad definition of public health that has been used to develop the inclusion criteria for this dataset. This caveat applies to all data within the dataset irrespective of the funding NIHR Research Programme or NIHR Academy award.Please note that this dataset is currently subject to a limited data quality review. We are working to improve our data collection methodologies. Please also note that some awards may also appear in other NIHR curated datasets. Further informationFurther information on the individual awards shown in the dataset can be found on the NIHR’s Funding & Awards website here. Further information on individual NIHR Research Programme’s decision making processes for funding health and social care research can be found here.Further information on NIHR’s investment in public health research can be found as follows: NIHR School for Public Health here. NIHR Public Health Policy Research Unit here. NIHR Health Protection Research Units here. NIHR Public Health Research Programme Health Determinants Research Collaborations (HDRC) here. NIHR Public Health Research Programme Public Health Intervention Responsive Studies Teams (PHIRST) here.

Total Expenditure on Public Health: Shaanxi data was reported at 202,806.000 RMB mn in 2020. This records an increase from the previous number of 182,445.000 RMB mn for 2019. Total Expenditure on Public Health: Shaanxi data is updated yearly, averaging 130,126.000 RMB mn from Dec 2011 (Median) to 2020, with 10 observations. The data reached an all-time high of 202,806.000 RMB mn in 2020 and a record low of 73,098.000 RMB mn in 2011. Total Expenditure on Public Health: Shaanxi data remains active status in CEIC and is reported by National Health Commission. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GN: Expenditure on Public Health.

This Mikrozensus special survey poses questions form the field of health. In the field of health statistics there are numerous data records available but for coping with the increasing tasks of health policies additional information is required. It is surprising that simple basic data such as body height and weight of the population are not available except for the body height and weight of schoolchildren, apprentices and members of the Austrian Armed Forces. Moreover, it is not known how many people are sick at a certain date and how often and how long these people stay away from school or work due to sickness or injury. Statistics conducted by health insurances or hospitals provide this information only to some extent. Another important aspect of this survey - like in all other Mikrozensus special surveys - is structuring the result according to social groups and various characteristics of the interviewees, something that is not possible with an administrative statistic. The results can be used to appraise the current and future need for care facilities or measures to support care assistants. This data is also used to calculate the expense for health care measures for certain population groups. The results are also a basis for campaigns of the health administration for instance against smoking, obesity, high cholesterol levels or for more utilisation of preventive health care. Similar surveys had been conducted in 1973 and 1991. The time comparison should make interpretations for changes in this field possible. Important questions on health politics which are frequently discussed now were covered thoroughly in this program. New are questions on the “Mutter-Kind-Pass”-examinations (mother-child passport examination) or on physical activity. This survey on the connection of health and labour conditions is especially important in view of the publicly discussed efforts to humanise the world of employment and the topic of early retirement.

Forecast: Healthcare Expenditure on Current Health Care in the Netherlands 2024 - 2028 Discover more data with ReportLinker!

This report presents information on obesity, physical activity and diet drawn together from a variety of sources for England. More information can be found in the source publications which contain a wider range of data and analysis. Each section provides an overview of key findings, as well as providing links to relevant documents and sources. Some of the data have been published previously by NHS Digital. A data visualisation tool (link provided within the key facts) allows users to select obesity related hospital admissions data for any Local Authority (as contained in the data tables), along with time series data from 2013/14. Regional and national comparisons are also provided.