Average daily number of available and occupied beds by sector, NHS organisations in England Source: Department of Health (DoH) Publisher: Department of Health Geographies: Primary Care Trust (PCT), Strategic Health Authority (SHA) Geographic coverage: England Time coverage: 2000-2001 to 2007-2008 Type of data: Administrative data

United Kingdom UK: Hospital Beds: per 1000 People data was reported at 2.900 Number in 2011. This records a decrease from the previous number of 2.980 Number for 2010. United Kingdom UK: Hospital Beds: per 1000 People data is updated yearly, averaging 4.600 Number from Dec 1960 (Median) to 2011, with 23 observations. The data reached an all-time high of 10.700 Number in 1960 and a record low of 2.900 Number in 2011. United Kingdom UK: Hospital Beds: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WDI: Health Statistics. Hospital beds include inpatient beds available in public, private, general, and specialized hospitals and rehabilitation centers. In most cases beds for both acute and chronic care are included.; ; Data are from the World Health Organization, supplemented by country data.; Weighted average;

HES is the national statistical data warehouse for England of the care provided by NHS hospitals and for NHS hospital patients treated elsewhere. HES is the data source for a wide range of healthcare analysis for the NHS, government and many other organisations and individuals. It does not include private activity.

Following public consultation these publications will be released as a single publication on a yearly basis from September 2011: Annual summary of outpatient activity Annual summary of inpatient and day case activity, procedures and diagnoses Annual summary of bed statistics Annual summary of childhood hospital admissions Emergency and Multiple Admissions Length of stay information Same day surgery information Allied Health Professional and Nurse Led clinics data Source agency: ISD Scotland (part of NHS National Services Scotland) Designation: National Statistics Language: English Alternative title: Annual Acute Hospital Activity and NHS Beds information

This data package contains the hospital bed availability and occupancy data by consultant main specialty and sector as well as data on inpatient and outpatient related hospital activity in England. It also contains information on Sub-Saharan public hospitals.

Forecast: Number of Hospital Beds in Publicly Owned Hospitals in the UK 2024 - 2028 Discover more data with ReportLinker!

This publication reports on Admitted Patient Care activity in England for the financial year 2023-24. This report includes but is not limited to analysis of hospital episodes by patient demographics, diagnoses, external causes/injuries, operations, bed days, admission method, time waited, specialty, provider level analysis and Adult Critical Care (ACC). It describes NHS Admitted Patient Care Activity, Adult Critical Care activity and performance in hospitals in England. The purpose of this publication is to inform and support strategic and policy-led processes for the benefit of patient care and may also be of interest to researchers, journalists and members of the public interested in NHS hospital activity in England. The data source for this publication is Hospital Episode Statistics (HES). It contains final data and replaces the provisional data that are released each month. HES contains records of all admissions, appointments and attendances at NHS-commissioned hospital services in England. The HES data used in this publication are called 'Finished Consultant Episodes', and each episode relates to a period of care for a patient under a single consultant at a single hospital. Therefore, this report counts the number of episodes of care for admitted patients rather than the number of patients. This publication shows the number of episodes during the period, with breakdowns including by patient's age, gender, diagnosis, procedure involved and by provider. Please send queries or feedback via email to enquiries@nhsdigital.nhs.uk. Author: Secondary Care Open Data and Publications, NHS England. Lead Analyst: Karl Eichler

Forecast: Number of Hospital Beds in the UK 2024 - 2028 Discover more data with ReportLinker!

HOSPREC is a dataset produced by the Wellcome Library and The National Archives. It was developed to help locate hospital records across the UK. Information is provided on over 2,800 hospitals. The data includes: the administrative details of the hospitals, and their status or type; the location and covering dates of administrative and clinical records; the existence of lists, catalogues or other finding aids.

Content

This dataset is the complete UK NHS (National Health Service) Hospital Database including geospatial data.

Acknowledgements

Data is available on the NHS website under the Open Government Licence.

Cover photo by Camilo Jimenez on Unsplash Unsplash Images are distributed under a unique Unsplash License.

• OrganisationID

• OrganisationCode

• OrganisationType

• SubType

• Sector

• OrganisationStatus

• IsPimsManaged

• OrganisationName

• Address1

• Address2

• Address3

• City

• County

• Postcode

• Latitude

• Longitude

• ParentODSCode

• ParentName

• Phone

• Email

Description

The purpose of this initiative is to build an integrated dataset on Intensive Care Units (ICUs) and their availability by country and region (at the highest regional granularity provided by the sources), using a data model standardized across countries.

Currently, ICU data is stored in different country-specific sources, with a wide range of access points (national websites, APIs, excel or csv files, etc.)

Given current COVID-19 crisis, we believe that this information should be provided with the following: * common standardized structure * single point of access * open to the public

We hope that these datasets will further benefit researchers and help us in the fight against COVID-19.

Countries and sources:

• Italy (as of 2019 - source: Ministero della Salute)
• United Kingdom
  • England (as of 2020 - source: NHS England)
  • Wales (as of 2019 - source: StatsWales)
  • Scotland (as of 1998, projected on 2020 whole figure - sources: Scottish Health Directorate & Herald Scotland)
  • Northern Ireland (as of 2020, w/o sub-area granularity - source: Derry Journal)
• US (as of 2018 - source: Harvard Global Health Institute)
• Spain (as of 2013 - source: Medicina Intensiva)
• Germany (updated daily, not complete - source DIVI Intensiv Register)

Context

There no one stop dataset, which includes the locations of hospitals in England. As this is public knowledge the data has been aggregated. This dataset can be used to geospacially represent for example Emergency Department visits by location or other hospital linked datasets. For anyone interested the NHS has many datasets freely available. For example from here. These could be combined with this dataset.

Content

This is a simple dateset with the names of of English hospitals and their locations. For some few hospitals the coordinates are not available these are:

Gosport, Lincoln County Hospital, London Borough of Sutton, Methley, Northumbria Healthcare NHS Foundation Trust, Queen Elizabeth The Queen Mother Hospital, Royal Berkshire Hospital, Southmead Hospital, Stoke Mandeville Hospital, Westcliffe-on-Sea, York Hospital

Acknowledgements

The data has been collected from Wikipedia so the credit goes to the public domain and their efforts to maintain this dataset.

Inspiration

This dataset is aimed to provide coordinate for hospital data such as attendance etc. But could also be used for example to show distance to hospitals for the population of England.

Percentage of emergency admissions to any hospital in England occurring within 30 days of the last, previous discharge from hospital after admission: indirectly standardised by age, sex, method of admission and diagnosis/procedure. The indicator is broken down into the following demographic groups for reporting: ● All years and female only, male only and both male and female (persons). ● <16 years and female only, male only and both male and female (persons). ● 16+ years and female only, male only and both male and female (persons) ● 16-74 years and female only, male only and both male and female (persons) ● 75+ years and female only, male only and both male and female (persons) Results for each of these groups are also split by the following geographical and demographic breakdowns: ● Local authority of residence. ● Region. ● Area classification. ● NHS and private providers. ● NHS England regions. ● Deprivation (Index of Multiple Deprivation (IMD) Quintiles, 2019). ● Sustainability and Transformation Partnerships (STP) & Integrated Care Boards (ICB) from 2016/17. ● Clinical Commissioning Groups (CCG) & sub-Integrated Care Boards (sub-ICB). ● Treatment Functions. All annual trends are indirectly standardised against 2014/15.

This data is taken from LG Inform (http://lginform.local.gov.uk Data Ref ID 27). It shows the delayed transfers of care, average weekly rate in Plymouth Delayed transfers of care, average weekly rate - Final available dataset: fin_2008_09 This indicator measures the impact of hospital services (acute and non-acute) and community-based care in facilitating timely and appropriate discharge from all hospitals for all adults. This measures the ability of the whole system to ensure appropriate discharge from hospital for the entire adult population, and is an indicator of the effectiveness of the interface between health and social care services. This indicator shows the average weekly rate of delayed transfers of care from all NHS hospitals, acute and non-acute, per 100,000 population aged 18+. A delayed transfer of care occurs when a patient is ready for transfer from a hospital bed, but is still occupying such a bed. This was previously reported as NI 131. Source name: Department of Health Collection name: Unify2 Data Collection - MSitDT Polarity: Low is good Polarity is how sentiment is measured "Sentiment is usually considered to have "poles" positive and negative these are often translated into "good" and "bad" sentiment analysis is considered useful to tell us what is good and bad in our information stream.

Dataset description

Daily official UK Covid data. The data is available per country (England, Scotland, Wales and Northern Ireland) and for different regions in England. The different regions are split into two different files as part of the data is directly gathered by the NHS (National Health Service). The files that contain the word 'nhsregion' in their name, include data related to hospitals only, such as number of admissions or number of people in respirators. The files containing the word 'region' in their name, include the rest of the data, such as number of cases, number of vaccinated people or number of tests performed per day. The next paragraphs describe the columns for the different file types.

Region files

Files related to regions (word 'region' included in the file name) have the following columns: - "date": date in YYYY-MM-DD format - "area type": type of area covered in the file (region or nation) - "area name": name of area covered in the file (region or nation name) - "daily cases": new cases on a given date - "cum cases": cumulative cases - "new deaths 28days": new deaths within 28 days of a positive test - "cum deaths 28days": cumulative deaths within 28 days of a positive test - "new deaths_60days": new deaths within 60 days of a positive test - "cum deaths 60days": cumulative deaths within 60 days of a positive test - "new_first_episode": new first episodes by date - "cum_first_episode": cumulative first episodes by date - "new_reinfections": new reinfections by specimen data - "cum_reinfections": cumualtive reinfections by specimen data - "new_virus_test": new virus tests by date - "cum_virus_test": cumulative virus tests by date - "new_pcr_test": new PCR tests by date - "cum_pcr_test": cumulative PCR tests by date - "new_lfd_test": new LFD tests by date - "cum_lfd_test": cumulative LFD tests by date - "test_roll_pos_pct": percentage of unique case positivity by date rolling sum - "test_roll_people": unique people tested by date rolling sum - "new first dose": new people vaccinated with a first dose - "cum first dose": cumulative people vaccinated with a first dose - "new second dose": new people vaccinated with a first dose - "cum second dose": cumulative people vaccinated with a first dose - "new third dose": new people vaccinated with a booster or third dose - "cum third dose": cumulative people vaccinated with a booster or third dose

Country files

Files related to countries (England, Northern Ireland, Scotland and Wales) have the above columns and also: - "new admissions": new admissions, - "cum admissions": cumulative admissions, - "hospital cases": patients in hospitals, - "ventilator beds": COVID occupied mechanical ventilator beds - "trans_rate_min": minimum transmission rate (R) - "trans_rate_max": maximum transmission rate (R) - "trans_growth_min": transmission rate growth min - "trans_growth_max": transmission rate growth max

NHS Region files

Files related to nhsregion (word 'nhsregion' included in the file name) have the following columns: - "new admissions": new admissions, - "cum admissions": cumulative admissions, - "hospital cases": patients in hospitals, - "ventilator beds": COVID occupied mechanical ventilator beds - "trans_rate_min": minimum transmission rate (R) - "trans_rate_max": maximum transmission rate (R) - "trans_growth_min": transmission rate growth min - "trans_growth_max": transmission rate growth max

It's worth noting that the dataset hasn't been cleaned and it needs cleaning. Also, different files have different null columns. This isn't an error in the dataset but the way different countries and regions report the data.

This is a publication on maternity activity in English NHS hospitals. This report examines data relating to delivery and birth episodes in 2021-22, and the booking appointments for these deliveries. This annual publication covers the financial year ending March 2022. Data is included from both the Hospital Episodes Statistics (HES) data warehouse and the Maternity Services Data Set (MSDS). HES contains records of all admissions, appointments and attendances for patients admitted to NHS hospitals in England. The HES data used in this publication are called 'delivery episodes'. The MSDS collects records of each stage of the maternity service care pathway in NHS-funded maternity services, and includes information not recorded in HES. The MSDS is a maturing, national-level dataset. In April 2019 the MSDS transitioned to a new version of the dataset. This version, MSDS v2.0, is an update that introduced a new structure and content - including clinical terminology, in order to meet current clinical practice and incorporate new requirements. It is designed to meet requirements that resulted from the National Maternity Review, which led to the publication of the Better Births report in February 2016. This is the third publication of data from MSDS v2.0 and data from 2019-20 onwards is not directly comparable to data from previous years. This publication shows the number of HES delivery episodes during the period, with a number of breakdowns including by method of onset of labour, delivery method and place of delivery. It also shows the number of MSDS deliveries recorded during the period, with breakdowns including the baby's first feed type, birthweight, place of birth, and breastfeeding activity; and the mothers' ethnicity and age at booking. There is also data available in a separate file on breastfeeding at 6 to 8 weeks. The count of Total Babies includes both live and still births, and previous changes to how Total Babies and Total Deliveries were calculated means that comparisons between 2019-20 MSDS data and later years should be made with care. The MethodfDelivery measure counting babies has been replaced by the DeliveryMethodBabyGroup measure which counts deliveries, and the smoking at booking and folic acid status measures have been renamed - these changes have been made to better align this annual publication with the Maternity Services Monthly Statistics publication. Information on how all measures are constructed can be found in the HES Metadata and MSDS Metadata files provided below. In this publication we have also included an interactive Power BI dashboard to enable users to explore key NHS Maternity Statistics measures. The purpose of this publication is to inform and support strategic and policy-led processes for the benefit of patient care. This report will also be of interest to researchers, journalists and members of the public interested in NHS hospital activity in England. Any feedback on this publication or dashboard can be provided to enquiries@nhsdigital.nhs.uk, under the subject “NHS Maternity Statistics”.

Hospital Episode Statistics (HES) is a database containing details of all admissions, A and E attendances and outpatient appointments at NHS hospitals in England.

Initially this data is collected during a patient's time at hospital as part of the Commissioning Data Set (CDS). This is submitted to NHS Digital for processing and is returned to healthcare providers as the Secondary Uses Service (SUS) data set and includes information relating to payment for activity undertaken. It allows hospitals to be paid for the care they deliver.

This same data can also be processed and used for non-clinical purposes, such as research and planning health services. Because these uses are not to do with direct patient care, they are called 'secondary uses'. This is the HES data set.

• HES data covers all NHS Clinical Commissioning Groups (CCGs) in England, including:
• private patients treated in NHS hospitals
• patients resident outside of England care delivered by treatment centres (including those in the independent sector) funded by the NHS

Each HES record contains a wide range of information about an individual patient admitted to an NHS hospital, including:

clinical information about diagnoses and operations

patient information, such as age group, gender and ethnicity

administrative information, such as dates and methods of admission and discharge

geographical information such as where patients are treated and the area where they live

We apply a strict statistical disclosure control in accordance with the NHS Digital protocol, to all published HES data. This suppresses small numbers to stop people identifying themselves and others, to ensure that patient confidentiality is maintained. https://digital.nhs.uk/data-and-information/publications/statistical/hospital-accident--emergency-activity

Initially this data is collected during a patient's time at hospital as part of the Commissioning Data Set (CDS). This is submitted to NHS Digital for processing and is returned to healthcare providers as the Secondary Uses Service (SUS) data set and includes information relating to payment for activity undertaken. It allows hospitals to be paid for the care they deliver. This same data can also be processed and used for non-clinical purposes such as research and planning health services. Because these uses are not to do with direct patient care they are called 'secondary uses'. This is the SUS data set. SUS data covers all NHS Clinical Commissioning Groups (CCGs) in England including: 1. private patients treated in NHS hospitals 2. patients resident outside of England 3. care delivered by treatment centres (including those in the independent sector) funded by the NHS

Each SUS record contains a wide range of information about an individual patient admitted to an NHS hospital including: 1. clinical information about diagnoses and operations 2. patient information such as age group gender and ethnicity 3. administrative information such as dates and methods of admission and discharge 4. geographical information such as where patients are treated and the area where they live

NHS Digital apply a strict statistical disclosure control in accordance with the NHS Digital protocol to all published SUS data. This suppresses small numbers to stop people identifying themselves and others to ensure that patient confidentiality is maintained.

Who SUS is for SUS provides data for the purpose of healthcare analysis to the NHS government and others including:

The Secondary Users Service (SUS) database is made up of many data items relating to A&E care delivered by NHS hospitals in England. Many of these items form part of the national Commissioning Data Set (CDS) and are generated by the patient administration systems within each hospital. 1. national bodies and regulators such as the Department of Health NHS England Public Health England NHS Improvement and the CQC 2. local Clinical Commissioning Groups (CCGs) 3. provider organisations 4. government departments 5. researchers and commercial healthcare bodies 6. National Institute for Clinical Excellence (NICE) 7. patients service users and carers 8. the media

Uses of the statistics The statistics are known to be used for: 1. national policy making 2. benchmarking performance against other hospital providers or CCGs 3. academic research 4. analysing service usage and planning change 5. providing advice to ministers and answering a wide range of parliamentary questions 6. national and local press articles 7. international comparison

Hospital Episode Statistics (HES) is a database containing details of all admissions, A and E attendances and outpatient appointments at NHS hospitals in England.

Initially this data is collected during a patient's time at hospital as part of the Commissioning Data Set (CDS). This is submitted to NHS Digital for processing and is returned to healthcare providers as the Secondary Uses Service (SUS) data set and includes information relating to payment for activity undertaken. It allows hospitals to be paid for the care they deliver.

This same data can also be processed and used for non-clinical purposes, such as research and planning health services. Because these uses are not to do with direct patient care, they are called 'secondary uses'. This is the HES data set.

HES data covers all NHS Clinical Commissioning Groups (CCGs) in England, including:

• private patients treated in NHS hospitals
• patients resident outside of England
• care delivered by treatment centres (including those in the independent sector) funded by the NHS

Each HES record contains a wide range of information about an individual patient admitted to an NHS hospital, including:

• clinical information about diagnoses and operations
• patient information, such as age group, gender and ethnicity
• administrative information, such as dates and methods of admission and discharge
• geographical information such as where patients are treated and the area where they live

We apply a strict statistical disclosure control in accordance with the NHS Digital protocol, to all published HES data. This suppresses small numbers to stop people identifying themselves and others, to ensure that patient confidentiality is maintained.

Timescales for dissemination can be found under 'Our Service Levels' at the following link: https://digital.nhs.uk/services/data-access-request-service-dars/data-access-request-service-dars-process

Hospital Episode Statistics (HES) is a curated data product containing details about admissions, outpatient appointments and historical accident and emergency attendances at NHS hospitals in England. Source: https://digital.nhs.uk/services/hospital-episode-statistics#analytical-technical-output-specification-and-data-dictionary

Contains public sector information licensed under the Open Government Licence v3.0. Licence: https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/

Primary Dataset: Hospital Episode Statistics (HES) – (free from NHS Digital) Admitted Patient Care (APC) data Accident & Emergency (A&E) data Outpatients data

Supporting Data: NHS Trust performance ratings Staff numbers by trust Financial data from NHS foundation trusts