Data for this publication are extracted each month as a snapshot in time from the Primary Care Registration database within the PDS (Personal Demographics Service) system. This release is an accurate snapshot as at 1 July 2025. GP Practice; Primary Care Network (PCN); Sub Integrated Care Board Locations (SICBL); Integrated Care Board (ICB) and NHS England Commissioning Region level data are released in single year of age (SYOA) and 5-year age bands, both of which finish at 95+, split by gender. In addition, organisational mapping data is available to derive PCN; SICBL; ICB and Commissioning Region associated with a GP practice and is updated each month to give relevant organisational mapping. Quarterly publications in January, April, July and October will include Lower Layer Super Output Area (LSOA) populations.

Information on the number of dentists who have carried out NHS activity during the year.

Dentists can work under a number of contracts: - General Dental Services (GDS) providers must provide a full range of mandatory services. - Personal Dental Services (PDS) providers are not obliged to provide the full range of mandatory services. If a provide-only provides specialist services, such as orthodontic work, this has to be under a PDS agreement. - Trust-led Dental Services (TDS) can provide services under PDS agreements and then pay dentists directly rather than through the standard system operated by NHS Dental Services

For more information please see the Guide to NHS Dental Statistics

PDF map of the roadway functional classifications and National Highway System in the Albuquerque Metropolitan Planning Area (AMPA). Urbanized areas on the map reflect urban and rural functional classifications. The Federal Aid Highway System comprises urban minor collectors and above and rural major collectors and above.Roadway functional classifications are determined once a decade during a collaborative process between MRCOG, NMDOT, FHWA, and local agencies. Current classifications were approved: by the Metropolitan Transportation Board on April 25, 2014; by the Federal Highway Administration (FHWA) on February 5, 2015; and an update was approved by the FHWA on March 15, 2016. The PDF is scaled to print at up to 44 by 34 inches.

Publication changes: Please read the section on 'Notes on changes to publications' within the PDF report as this highlights changes to data currently published and potentially future reports. This report shows monthly numbers of NHS Hospital and Community Health Service (HCHS) staff groups working in Trusts and CCGs in England (excluding primary care staff). Data is available as headcount and full-time equivalents. This data is an accurate summary of the validated data extracted from the NHS's HR and Payroll system. In addition to the regular monthly reports there are a series of quarterly reports which include statistics on staff in Trusts and CCGs and information for NHS Support Organisations and Central Bodies. The quarterly analysis is published each September (June data), December (September data), March (December data) and June (March data). Additional healthcare workforce data relating to GPs and the Independent Healthcare Provider workforce are also available via the Related Links below. This publication of April 2020 data features a supplementary file which shows trends in HCHS workforce data observed during the NHS response to the Covid-19 pandemic. We welcome feedback on the methodology and tables within this publication. Please email us with your comments and suggestions, clearly stating Monthly HCHS Workforce as the subject heading, via enquiries@nhsdigital.nhs.uk or 0300 303 5678

JADS NHS PROMs

A data science case study of the NHS Digital PROMs data of hip and knee replacements.

This case study was developed as at Jheronimus Academy of Data Science (JADS) Professional Education for educational purposes.

• Background: NHS Digital PROMs portal and the guide to the PROMs methodology
• Intended audience: Master level and professional education
• Learning objectives:
  • Python: become sufficiently fluent to perform common machine learning related tasks including data understanding, data preparation, modelling and evaluation.
  • Machine learning: gain hands-on experience with a set of most commonly used machine learning tasks including regression, classification

By the end of this course, you should be able to understand and reproduce the analysis in this paper by Huber et al. (2019) where PROMs following hip and knee replacement surgery are predicted using supervised learning.

Dataset

• Original data available in separate zip files in data/external.
• Prepared dataset available in .parquet format in data/interim.

Project structure

├── LICENSE
├── README.md       <- The top-level README for this project.
├── data
│    ├── external     <- Data from third party sources.
│    └── interim      <- Intermediate data that has been transformed.
│
├── environment.yml    <- conda environment file for reproducing the analysis environment
│
├── index.ipynb      <- Main notebook with links to separate lectures.
│
├── notebooks       <- Jupyter notebooks per lecture. Naming convention is a number (for ordering),
│              the creator's initials, and a short `-` delimited description, e.g.
│              `1.0-initial-data-exploration`.
│
├── references      <- Data dictionaries, manuals, and all other explanatory materials.
│
├── requirements.txt   <- The requirements file for reproducing the analysis environment, e.g.
│              generated with `pip freeze > requirements.txt`
│
├── treebeard.yaml    <- Configuration for treebeard envinroment.
│
└── treebeard-setup.md  <- Instructions for setup Treebeard envirnoment.

License

JADS NHS PROMs Data Science Case Study by Daniel Kapitan is licensed under under a Creative Commons Attribution-ShareAlike 4.0 International License.

Please provide the following data regarding the prescribing of CNS stimulants and ADHD medicines (BNF 68 section 4.4) in England: • Number of patients prescribed CNS stimulants and ADHD medicines between January 2015 and January 2023 broken down by: - Month; - Age group (0-17 years, 18+ years); - Gender (Male and Female). - Chemical substance Response A copy of the information is attached. NHS Prescription Services process prescriptions for Pharmacy Contractors, Appliance Contractors, Dispensing Doctors and Personal Administration with information then used to make payments to pharmacists and appliance contractors in England for prescriptions dispensed in primary care settings (other arrangements are in place for making payments to Dispensing Doctors and Personal Administration). This involves processing over 1 billion prescription items and payments totalling over £9 billion each year. The information gathered from this process is then used to provide information on costs and trends in prescribing in England and Wales to over 25,000 registered NHS and Department of Health and Social Care users. Data Source The data source was the NHSBSA Information Services Data Warehouse. Exclusions The Data excludes: • Items not dispensed, disallowed and those returned to the contractor for further clarification. • Prescriptions prescribed and dispensed in Prisons, Hospitals and Private prescriptions. • Items prescribed but not presented for dispensing or not submitted to NHS Prescription Services by the dispenser. Time Period April 2015 to January 2023 inclusive. Patient Data is available from April 2015 onwards. Organisation Data Only items that were prescribed in England and dispensed in the community have been included. Year Month The year and month for which the claim for dispensed items has been submitted to NHSBSA. BNF Chemical Substance The nine characters at the beginning of a BNF code which specify the Chemical substance of a drug. Gender_PDS Whether an identified patient is (male or female) has been determined using the latest patient gender information held by the NHSBSA Information Services data warehouse at the time that the prescription data was loaded. Patient gender information is updated periodically - sometime after the data has been loaded - using information from NHS Personal Demographics Service (PDS). At the time that prescription data is loaded the PDS data held by NHSBSA may be incomplete or may not reflect the latest data held by PDS. Patient gender cannot be reported for prescriptions for which the NHS number could not be captured or where no corresponding PDS data is held by NHSBSA. Prescriptions used in this dataset have been limited to where the data held in the NHSBSA data Warehouse has been recorded as male or female. The following percentage of prescription items within the dataset had a recorded gender of male or female, by calendar year: 2015 (April to December) 79.36% 2016 81.66% 2017 81.69% 2018 81.72% 2019 83.97% 2020 87.83% 2021 87.65% 2022 87.56% 2023 (January) 87.56% Age Patient age is as captured on prescriptions during processing. Patients may appear in more than one age group if they have prescribing in more than one age group therefore patient counts should not be added together, and they should only be used as presented in this request. Data has been limited to prescriptions where an age has been captured, the following percentage of prescription items within the dataset had a recorded age, by calendar year;

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)

The 10 Strategic Health Authority Boundaries in Shapefile format as defined in 2006. Derived from OS Boundary-Line data from Digimap and defined by the information available on the NHS web site at http://www.nhs.uk/aboutnhs/HowtheNHSworks/authoritiesandtrusts/Pages/authoritiesandtrusts.aspx. Based on table at: http://www.nhs.uk/aboutnhs/HowtheNHSworks/authoritiesandtrusts/Documents/TablleofSHAsFeb09.pdf and map at: http://www.nhs.uk/aboutnhs/HowtheNHSworks/authoritiesandtrusts/Documents/MapofSHAsFeb09.pdf and OS boundary regions. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2010-06-30 and migrated to Edinburgh DataShare on 2017-02-20.

This User Guide contains information about the NHSPD including: directory content; data currency; the methodology for assigning areas to postcodes; data formats; data quality and limitations and details of recent changes that have impacted on the data. Various annexes and tables provide more detailed supporting information. The download includes PDF and ODT versions of the user guide. (File size - 650 KB)

Thank you for your request for information about the following: Request I would like to request information regarding where NHS pensions are invested? Does the money go back into the NHS or is it invested externally, and if so, in what areas is it invested please (e.g. oil, arms, health, green projects?). The NHS Business Services Authority (NHSBSA) received your request on 12 March 2025. We have handled your request under the Freedom of Information Act (FOIA) 2000. Our response I am writing to advise you that following a search of our paper and electronic records, I have established that the information you requested is not held by the NHS Business Services Authority. Advice and Assistance Please note the NHS Pension Scheme does not make investments. The following Scheme guide is available on our website: https://www.nhsbsa.nhs.uk/sites/default/files/2024-05/2015%20Members%20Guide%20%28V13%29%2005.2024.pdf https://www.nhsbsa.nhs.uk/sites/default/files/2024-05/1995-2008%20Members%20Guide%20%28V25%29%2005.2024.pdf The Scheme guide advises the following: Pension Scheme Fund The NHS Pension Scheme does not have an invested pension fund as per private sector pensions, but as a statutory scheme, benefits are fully guaranteed by the government. Contributions from both members and employers are paid to the Exchequer, which meets the cost of Scheme benefits. Publishing this response Please note that this information will be published on our Freedom of Information disclosure log at: https://opendata.nhsbsa.net/dataset/foi-02653 Your personal details will be removed from the published response. Data Queries Please contact foirequests@nhsbsa.nhs.uk ensuring you quote the above reference if you have any specific questions regarding this response; or, if you feel you may be misunderstanding or misinterpreting the information; or, if you plan on publishing the data.

Thank you for your request for information about the following: Request ‘I was just looking on NHS digital to see if I could see a number for how many children had their eyes tested under the NHS last year.’ [On 28 March 2025 you sent a further email] ‘I’m wondering if it's possible to get this information broken down by age and by location? I’m not sure how it comes and what is available. And also if I can get it for the last three years?’ [On 28 March 2025 we sent you the following clarification request] Can you please confirm the age bands you would like the data to be broken down by? Would you like this broken down by individual age or age groups? Can you please confirm how you would like the location data to be identified? We can provide the data based on the location of the test, or the location of patient residency. Please note, with patient residency, the data captured is as reported on the claim form, this is not validated against the Personal Demographics Service (PDS). Can you also please confirm how you would like the location data to be reported? Currently, the lowest granularity for geography would be by NHS ICB. [On 28 March 2025 you clarified your request as follows] ‘By individual age if possible or age groups if not. As well as the total number of eye tests carried out on 0 – 15 year olds. Location of the test. I’m interested in regional variations for example Derbyshire, Yorkshire etc so yes NHS ICB would be great.’ The NHS Business Services Authority (NHSBSA) received your request on 20 March 2025, with clarification received on 28 March 2025. We have handled your request under the Freedom of Information Act 2000 (FOIA).

A PDF map that shows the NHS England Regions in England as at July 2022. (File Size - 166 KB)

This User Guide contains information about the NHSPD including: directory content; data currency; the methodology for assigning areas to postcodes; data formats; data quality and limitations and details of recent changes that have impacted on the data. Various annexes and tables provide more detailed supporting information. The download includes PDF and ODT versions of the user guide. (File size - 652 KB)

Direct link to factsheet regarding NWT pay. https://www.nhsbsa.nhs.uk/sites/default/files/2017-03/Notional%20Whole%20Time%20TPP%20V3%2006.13.pdf Please note that this request and our response is published on our Freedom of Information disclosure log at: https://opendata.nhsbsa.net/dataset/foi-01651

The Radiotherapy Data Set (RTDS) allows for the routine collection of clinically and managerially relevant ACTIVITY data from Radiotherapy facilities, in order to commission or monitor Radiotherapy Services in an evidence-based manner.

A Data Explained report on RTDS can be found here: https://adrwales.org/wp-content/uploads/2025/02/Data_Explained_RTDS.pdf

This workbook contains data that has been used by the London Local Supervising Authority (LSA) for its annual report to the Nursing & Midwifery Council (NMC) for 2009/10.

The purpose of the report is to inform NHS London, the NMC and the public how the Local Supervising Authority (LSA) of NHS London met the standards set within the Midwives Rules and Standards (2004).

The full report can be found here: http://www.london.nhs.uk/webfiles/Information%20Revolution/LDN_LSA%20Annual%20Rpt%202009-10%20Final.pdf

• to provide annual data about the nation’s health;
• to estimate the proportion of people in England with specified health conditions;
• to estimate the prevalence of certain risk factors associated with these conditions;
• to examine differences between population subgroups in their likelihood of having specific conditions or risk factors;
• to assess the frequency with which particular combinations of risk factors are found, and which groups these combinations most commonly occur;
• to monitor progress towards selected health targets
• since 1995, to measure the height of children at different ages, replacing the National Study of Health and Growth;
• since 1995, monitor the prevalence of overweight and obesity in children.

The survey includes a number of core questions every year but also focuses on different health issues at each wave. Topics are revisited at appropriate intervals in order to monitor change.

Further information about the series may be found on the NHS Digital Health Survey for England; health, social care and lifestyles webpage, the NatCen Social Research NatCen Health Survey for England webpage and the University College London Health and Social Surveys Research Group UCL Health Survey for England webpage.

Changes to the HSE from 2015:
Users should note that from 2015 survey onwards, only the individual data file is available under standard End User Licence (EUL). The household data file is now only included in the Special Licence (SL) version, released from 2015 onwards. In addition, the SL individual file contains all the variables included in the HSE EUL dataset, plus others, including variables removed from the EUL version after the NHS Digital disclosure review. The SL HSE is subject to more restrictive access conditions than the EUL version (see Access information). Users are advised to obtain the EUL version to see if it meets their needs before considering an application for the SL version.

COVID-19 and the HSE:
Due to the COVID-19 pandemic, the HSE 2020 survey was stopped in March 2020 and never re-started. There was no publication that year. The survey resumed in 2021, albeit with an amended methodology. The full HSE resumed in 2022, with an extended fieldwork period. Due to this, the decision was taken not to progress with the 2023 survey, to maximise the 2022 survey response and enable more robust reporting of data. See the NHS Digital Health Survey for England - Health, social care and lifestyles webpage for more details.

The Health Survey for England, 2017: Special Licence Access is available from the UK Data Archive under SN 9084.

Latest edition information:
For the third edition (May 2023), a number of corrections were made to the data file and the data documentation file. Further information is available in the documentation file '8488_hse_2017_eul_v3_corrections_to_ukds.pdf’.

BackgroundThe unprecedented rapid re-deployment of healthcare workers from different care pathways into newly created and fluid COVID-19 teams provides a unique opportunity to examine the interaction of many of the established non-technical factors for successful delivery of clinical care and teamwork in healthcare settings. This research paper therefore aims to address these gaps by qualitatively exploring the impact of COVID work throughout the pandemic on permanent and deployed personnel’s experiences, their ability to effectively work together, and the effect of social dynamics (e.g., cohesion, social support) on teamwork and mental health.MethodsSeventy-five interviews were conducted across the UK between March and December 2021 during wave 2 and 3 of COVID-19 with 75 healthcare workers who were either permanent staff on Intensive Care/High Dependency Units used as COVID wards, had been rapidly deployed to such a ward, or had managed such wards. Work Life Balance was measured using the WLB Scale. Interview transcripts were qualitatively coded and thematic codes were compared using network graph modeling.ResultsUsing thematic network analysis, four overarching thematic clusters were found, (1) teamwork, (2) organizational support and management, (3) cohesion and social support, and (4) psychological strain. The study has three main findings. First, the importance of social factors for teamwork and mental health, whereby team identity may influence perceptions of preparedness, collaboration and communication, and impact on the collective appraisal of stressful events and work stressors. Secondly, it demonstrates the positive and negative impact of professional roles and skills on the development of teamwork and team identity. Lastly the study identifies the more pronounced negative impact of COVID work on deployed personnel’s workload, mental health, and career intentions, exacerbated by reduced levels of social support during, and after, their deployment.ConclusionThe thematic network analysis was able to highlight that many of the traditional factors associated with the successful delivery of patient care were impeded by pandemic constraints, markedly influencing personnel’s ability to work together and cope with pandemic work stressors. In this environment teamwork, delivery of care and staff well-being appear to depend on relational and organizational context, social group membership, and psycho-social skills related to managing team identity. While results hold lessons for personnel selection, training, co-location, and organizational support during and after a pandemic, further research is needed into the differential impact of pandemic deployment on HCWs mental health and teamwork.