Local Authority is a generic term used to cover London Boroughs, Metropolitan Districts, Non-Metropolitan Districts, and Unitary Authorities in England; Unitary Authorities in Wales; Council Areas in Scotland; and Local Government Districts in Northern Ireland.

The Local Authorities area list contains 404 areas of the following constituent geographies:

• 36 Metropolitan Districts in England
• 201 Non-Metropolitan Districts in England
• 31 London Boroughs in England
• 54 Unitary Authorities in England
• 26 Local Government Districts in Northern Ireland
• 32 Council Areas in Scotland
• 22 Unitary Authorities in Wales
• 2 Census Merged Districts in England

Please visit ONS Beginner's Guide to UK Geography for more info.

The boundaries are available as either extent of the realm (usually this is the Mean Low Water mark but in some cases boundaries extend beyond this to include off shore islands) or

clipped to the coastline (Mean High Water mark).

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. 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

The English Longitudinal Study of Ageing (ELSA) Covid-19 study can be seen as a follow-up study based on the sample of the regular ELSA study (held under SN 5050). ELSA was launched in 2002 with the primary objective of exploring ageing in England through the operationalisation of a longitudinal design, where repeated measures are taken over time from the same sample of study participants, composed of people aged 50 or above.

After the beginning of the Coronavirus Disease 2019 (COVID-19) outbreak at the end of 2019, its classification as global pandemic by the World Health Organisation in March 2020 and the gradual escalation of protective measures in the UK, culminating with the enforcement of a nation-wide lockdown in late March, the ELSA research team identified the need to carry out a new ad-hoc study that measures the socio-economic effects/psychological impact of the lockdown on the aged 50+ population of England.

Further information can be found on the http://www.elsa-project.ac.uk/covid-19"> ELSA COVID-19 Study webpage.

Acknowledgment statement:

The ELSA COVID-19 Substudy was funded through the Economic and Social Research Council via the UK Research and Innovation Covid-19 Rapid Response call. Funding has also been received from the National Institute of Aging in the US, and a consortium of UK government departments coordinated by the National Institute for Health Research.

Latest edition information

For the third edition (February 2022), revised data files for Waves 1 and 2, with corrected serial numbers (variable idauniq), were deposited. The documentation remains unchanged.

Special Licence version of the ELSA COVID-19 study

Additional variables covering interview week are available under SN 8918, subject to stringent Special Licence access conditions. Users should check whether the standard End User Licence version (this study, SN 8688), is sufficient for their needs before making an application for the Special Licence version.

Health conditions research with ELSA - June 2021

The ELSA Data team have found some issues with historical data measuring health conditions. If you are intending to do any analysis looking at the following health conditions, then please contact elsadata@natcen.ac.uk for advice on how you should approach your analysis. The affected conditions are: eye conditions (glaucoma; diabetic eye disease; macular degeneration; cataract), CVD conditions (high blood pressure; angina; heart attack; Congestive Heart Failure; heart murmur; abnormal heart rhythm; diabetes; stroke; high cholesterol; other heart trouble) and chronic health conditions (chronic lung disease; asthma; arthritis; osteoporosis; cancer; Parkinson's Disease; emotional, nervous or psychiatric problems; Alzheimer's Disease; dementia; malignant blood disorder; multiple sclerosis or motor neurone disease).

Explore the historical Whois records related to owlconservationproject.org.uk (Domain). Get insights into ownership history and changes over time.

The Townsend Deprivation Index is a measure of material deprivation first introduced by Peter Townsend in 1987. A Townsend score can be calculated using a combination of four census variables for any geographical area (provided census data is available for that area). The measure has been widely used in research for health, education and crime to establish whether relationships exist with deprivation. The Townsend scores below were calculated for the UK based on data from the 2011 Census and include a discussion with geographical visualisations of the findings.

This statistical report, co-authored with the UK Health Security Agency (UKSHA), reports childhood vaccination coverage statistics for England in 2022-23. Data relates to the routine vaccinations offered to all children up to the age of 5 years, derived from the Cover of Vaccination Evaluated Rapidly (COVER). Additional information on children aged 2 and 3 vaccinated against seasonal flu are collected from GPs through UKHSA's ImmForm system.

This dataset is an inventory of reservoir details for the UK. It provides information, including reservoir location, type (impounding or non-impounding), use (water resources, hydro-electric, ecological, flood storage, canal), capacity, planning date, construction date, catchment National River Flow Archive (NRFA) gauge references and membership of a reservoir group, based on current usage within the CEH Monthly Hydrological Summary (https://nrfa.ceh.ac.uk/monthly-hydrological-summary-uk). The dataset comprises 273 individual reservoirs, which amount to approximately 90% of total UK reservoir storage. Data quality has been recorded, using a data flag system and a notes section, with references relevant to each reservoir provided.

Between 1970 and 1980 NCC contracted a survey on the littoral zone of the coast of Great Britain. Former Countryside Council for Wales (CCW) now part of Natural Resources Wales (NRW) holds a series of reports prepared under this contract as well as data in Marine Recorder. The purpose of this data capture was: - To record the distribution of habitats and the associated organisms in the littoral zone of Great Britain in order to verify existing information, fill gaps in knowledge, and ensure uniformity in the description. - To make a photographic record of the main types of littoral habitats and the associated plant and animals.

• To develop suitable criteria for the assessment and selection of key areas in terms of their scientific and conservation value and assess the information collected by the criteria and so select key areas, and to zone the rest of the coast in relation to the key areas.

• 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, 2016: Special Licence Access is available from the UK Data Archive under SN 9084.

Latest edition information:
For the fourth 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 '8334_hse_2016_eul_v5_corrections_to_ukds.pdf'.

Explore the historical Whois records related to gvo.org.uk (Domain). Get insights into ownership history and changes over time.

The Environmental Zones are aggregations of ITE Land Classes; these classes are derived from repeatable multivariate analysis of environmental data collected for each 1 km square in the country. Thus the classes, and hence the zones, are determined by combinations of environmental characteristics, not by just one or two. This means that the naming of classes (and zones) is not straightforward and cannot be achieved by reference to single parameters such as altitude. The approach taken with the ITE Land Classes is to give each a numeric identifier, rather than a text name, and to supplement these Land Class numbers with a brief description of the class.

Legacy unique identifier: P01728

This dataset contains a list of all known birds, bryophytes, fungi, invertebrates, lichens and mammals that use oak (Quercus petraea and Quercus robur) in the UK. In total 2300 species are listed in the dataset. For each species we provide a level of association with oak, ranging from obligate (only found on oak) to cosmopolitan (found on a wide range of other tree species). Data on the ecology of each oak associated species is provided: part of tree used, use made of tree (feeding, roosting, breeding), age of tree, woodland type, tree form (coppice, pollarded, or natural growth form) and season when the tree was used. Data on use or otherwise by each of the 2300 species of 30 other alternative tree species (Acer campestre, Acer pseudoplatanus, Alnus glutinosa, Betula pendula, Betula pubescens, Carpinus betulus, Castanea sativa, Fagus sylvatica, Fraxinus excelsior, Ilex aquifolium, Larix spp, Malus sylvestris, Picea abies, Pinus nigra ssp. laricio, Pinus sylvestris, Populus tremula, Prunus avium, Pseudotsuga menziesii, Quercus cerris, Quercus rubra, Sorbus aria, Sorbus aucuparia, Sorbus torminalis, Taxus baccata, Thuja plicata, Tilia cordata, Tilia platyphyllos, Tilia vulgaris, Tsuga heterophylla, Ulmus glabra) was also collated. A complete list of data sources is provided. Full details about this dataset can be found at https://doi.org/10.5285/22b3d41e-7c35-4c51-9e55-0f47bb845202

Legacy unique identifier: P01729

Legacy unique identifier: P01744

Legacy unique identifier: P01732

Social web content (Personal profiles/posts) from http://snell-pym.org.uk

Legacy unique identifier: P01731