Local Health contains indicators related to:

• population and demographic factors, including age, sex and deprivation
• health outcomes
• wider determinants of health, including housing and living environment

It presents data for middle super output areas (MSOAs), electoral wards, clinical commissioning groups (CCGs), local authorities, and England as a whole.

The tool allows users to map data and provides spine charts and reports for small areas. Users can also define their own geographies and add their own data.

This update contains:

• 47 indicators updated with data for the latest available time period and the latest available boundaries
• 13 indicators with no new source data have been updated to new ward and CCG 2021 boundaries
• an update of wards and CCGs to 2021 boundaries – this includes those indicators for which more recent data is not available

See the attached ‘Local Health: indicator updates, August 2022’ document for a full list of the available indicators, geographies and any other changes in this release.

Data sources: England & Wales - Office for National Statistics (ONS)Scotland - National Records of Scotland (NRS)Northern Ireland - Northern Ireland Statistics and Research Agency (NISRA)Coverage: United Kingdom The boundaries used have been generalised using a point remove algorithm for web display using the following thresholds:Euro Regions - 250 metres Local Authorities - 150 metres Middle Super Output Area (MSOA) - 100 metres Lower Super Output Area (LSOA) - 75 metres Output Area (OA) - 50 metres The boundaries have been set to display at the following scale thresholds: Euro Regions - > 1:4,000,000 Local Authorities - 1:300,000 – 1:4,000,000 Middle Super Output Area (MSOA) - 1:100,000 – 1:300,000 Lower Super Output Area (LSOA) - 1:40,000 – 1:100,000 Output Area (OA) - < 1:40,000The currency of this data is 2011.

This is a lookup file between local authority districts, Public Health England Centres and Public Health England Regions in England as at 31 December 2017. (File Size - 88 KB)REST URL of Feature Access Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/LAD17_PHEC17_PHEREG17_EN_LU_c32a9f0561ca4c91b35c6ba411fb8397/FeatureServer

This is a lookup file between local authority districts, Public Health England Centres and Public Health England Regions in England as at 31st December 2019. (File Size - 26 KB)Field Names - LAD19CD, LAD19NM, PHEC19CD, PHEC19CDH, PHEC19NM, PHEREG19CD, PHEREG19CDH, PHEREG19NM, FIDField Types - Text, Text, Text, Text, Text, Text, Text, TextField Lengths - 9, 35, 9, 8, 20, 9, 6, 28FID = The FID, or Feature ID is created by the publication process when the names and codes / lookup products are published to the Open Geography portal

This is a lookup file between local authority districts, Public Health England Centres and Public Health England Regions in England as at 31 December 2016. (File Size - 88 KB)REST URL of Feature Access Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/LAD16_PHEC16_PHEREG16_EN_LU_895adb38480240679644574e5cab3bdc/FeatureServer

The Local Health tool update for 2017 has been published.

Local Health presents data for small areas: middle super output areas (MSOAs) and electoral wards. The tool also provides data for clinical commissioning groups (CCGs), local authorities, and England as a whole.

The Local Health tool allows users to map data and provides spine charts and reports for small areas. Users can also define their own geographies and add their own data.

This 2017 update includes:

• 50 indicators updated with data for the latest available time period and the latest available boundaries

• 14 indicators that have been re-modelled to the latest boundaries

• an update of wards to 2016 boundaries and of CCGs to 2017 boundaries. This includes those indicators for which more recent data is not available

• a change in the definition of the low birthweight indicator to ‘percentage of all live births at term with low birth weight’. This is to align with the Public Health Outcomes Framework (PHOF)

• a new indicator on the ‘percentage of households that experience fuel poverty’

• new functionality to allow users to download data in bulk

See the attached ‘Local Health: update, October 2017’ document for a full list of the available indicators, geographies and any other changes in this release.

COVID-19 is a infectious Disease which has infected more than 500 people in UK and many more people world-wide.

Acknowledgements Sincere thanks to Public Health England and Local governments. Source of Data: UK Government and Public Health UK

****Notes on the methodology**** This service shows case numbers as reported to Public Health England (PHE), matched to Administrative Geography Codes from the Office of National Statistics. Cases include people who have recovered.

Events are time-stamped on the date that PHE was informed of the new case or death.

The map shows circles that grow or shrink in line with the number of cases in that geographic area.

Data from Scotland, Wales and Northern Ireland is represented on the charts, total indicators and on the country level map layer.

Contains Ordnance Survey data © Crown copyright and database right 2020. Contains National Statistics data © Crown copyright and database right 2020.

Terms of Use No special restrictions or limitations on using the item’s content have been provided.

This feature service contains COVID-19 data automatically updated from the Public Health England (PHE) API service, daily. Using this API, this service takes the current day request minus two days. Therefore the data will always be two days behind. This is a result of the delay between PHE's specimen date and reporting date.The Polygon Layers, which all contain spatial data, provide information about the latest cumulative figures at three geographies; Local Authority, Regions and Nations. The Tables, which are not spatially aware, provide historical data for each feature. The format of these tables allow you to use the Join tool with the Polygon Layers and create a time enabled layer. This can be used within a dashboard or on the animation tool to view patterns over time.

Explore a wide range of health indicators by area, map trends in data over time and make comparisons at local and national levels. To search for a specific indicator you can use the search bar in the Data Explorer tab or use the Data tab to search by Theme.

The local authority interactive tool (LAIT) is an app that presents information in interactive tables and charts, along with local authorities’ rank positions in England and against statistical neighbours.

It includes local authority, regional and national data on:

• children looked after and adoption
• child protection
• the children’s social care workforce
• special educational needs and disability
• pupil attainment and attendance
• children’s health
• youth justice
• post-16
• finance

The ‘Children’s services statistical neighbour benchmarking tool’ allows you to select a local authority and display its ‘closest statistical neighbours’ (local authorities with similar characteristics). The tool has been reviewed and rebuilt to include updated socio-economic variables from the 2021 census. More information is available in the associated update note and technical report.

A lookup file between unitary authorities and local health boards in Wales as at 31st December 2023. (File Size - 16 KB)Field Names - UA23CD, UA23NM, LHB23CD, LHB23NMField Types - Text, Text, Text, TextField Lengths - 9, 17, 9, 41

A lookup file between unitary authorities and local health boards in Wales as at 1st April 2019. (File Size - 16 KB)File includes the boundary change between W11000026 - Abertawe Bro Morgannwg University Health Board and W11000027 - Cwm Taf University Health Board to create W11000030 - Cwm Taf Morgannwg University Health Board and W11000031 - Swansea Bay University Health Board.Field Names - UA19CD, UA19NM, LHB19CD, LHB19NM, FIDField Types - Text, Text, Text, Text, NumericField Lengths - 9, 17, 9, 41FID = The FID, or Feature ID is created by the publication process when the names and codes / lookup products are published to the Open Geography portal. REST URL of Feature Access Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/UA19_LHB19_WA_LU_b87eb183406b47819f8b34b605a30929/FeatureServer

Proportion of children aged 4 to 5 years classified as living with obesity. For population monitoring purposes, a child’s body mass index (BMI) is classed as overweight or obese where it is on or above the 85th centile or 95th centile, respectively, based on the British 1990 (UK90) growth reference data. The population monitoring cut offs for overweight and obesity are lower than the clinical cut offs (91st and 98th centiles for overweight and obesity) used to assess individual children; this is to capture children in the population in the clinical overweight or obesity BMI categories and those who are at high risk of moving into the clinical overweight or clinical obesity categories. This helps ensure that adequate services are planned and delivered for the whole population.

Rationale There is concern about the rise of childhood obesity and the implications of obesity persisting into adulthood. The risk of obesity in adulthood and risk of future obesity-related ill health are greater as children get older. Studies tracking child obesity into adulthood have found that the probability of children who are overweight or living with obesity becoming overweight or obese adults increases with age[1,2,3]. The health consequences of childhood obesity include: increased blood lipids, glucose intolerance, Type 2 diabetes, hypertension, increases in liver enzymes associated with fatty liver, exacerbation of conditions such as asthma and psychological problems such as social isolation, low self-esteem, teasing and bullying.

It is important to look at the prevalence of weight status across all weight/BMI categories to understand the whole picture and the movement of the population between categories over time.

The National Institute of Health and Clinical Excellence have produced guidelines to tackle obesity in adults and children - http://guidance.nice.org.uk/CG43.

1 Guo SS, Chumlea WC. Tracking of body mass index in children in relation to overweight in adulthood. The American Journal of Clinical Nutrition 1999;70(suppl): 145S-8S.

2 Serdula MK, Ivery D, Coates RJ, Freedman DS, Williamson DF, Byers T. Do obese children become obese adults? A review of the literature. Preventative Medicine 1993;22:167-77.

3 Starc G, Strel J. Tracking excess weight and obesity from childhood to young adulthood: a 12-year prospective cohort study in Slovenia. Public Health Nutrition 2011;14:49-55.

Definition of numerator Number of children in reception (aged 4 to 5 years) with a valid height and weight measured by the NCMP with a BMI classified as living with obesity or severe obesity (BMI on or above 95th centile of the UK90 growth reference).

Definition of denominator Number of children in reception (aged 4 to 5 years) with a valid height and weight measured by the NCMP.

Caveats Data for local authorities may not match that published by NHS England which are based on the local authority of the school attended by the child or based on the local authority that submitted the data. There is a strong correlation between deprivation and child obesity prevalence and users of these data may wish to examine the pattern in their local area. Users may wish to produce thematic maps and charts showing local child obesity prevalence. When presenting data in charts or maps it is important, where possible, to consider the confidence intervals (CIs) around the figures. This analysis supersedes previously published data for small area geographies and historically published data should not be compared to the latest publication. Estimated data published in this fingertips tool is not comparable with previously published data due to changes in methods over the different years of production. These methods changes include; moving from estimated numbers at ward level to actual numbers; revision of geographical boundaries (including ward boundary changes and conversion from 2001 MSOA boundaries to 2011 boundaries); disclosure control methodology changes. The most recently published data applies the same methods across all years of data. There is the potential for error in the collection, collation and interpretation of the data (bias may be introduced due to poor response rates and selective opt out of children with a high BMI for age/sex which it is not possible to control for). There is not a good measure of response bias and the degree of selective opt out, but participation rates (the proportion of eligible school children who were measured) may provide a reasonable proxy; the higher the participation rate, the less chance there is for selective opt out, though this is not a perfect method of assessment. Participation rates for each local authority are available in the https://fingertips.phe.org.uk/profile/national-child-measurement-programme/data#page/4/gid/8000022/ of this profile.

Jedná se o vyhledávací soubor mezi okresy místních orgánů, středisky veřejného zdraví Anglie a regiony veřejného zdraví Anglie v Anglii k 31. prosinci 2016. (File Size - 88 KB)

This map uses as its source the ONS Map of Local Authorities 2020 published on Living Atlas and then used to create a resource for Yorkshire & Humberside to access resilience, local government, third sector and open data resources for each local authority.

Proportion of children aged 10 to 11 years classified as overweight or living with obesity. For population monitoring purposes, a child’s body mass index (BMI) is classed as overweight or obese where it is on or above the 85th centile or 95th centile, respectively, based on the British 1990 (UK90) growth reference data. The population monitoring cut offs for overweight and obesity are lower than the clinical cut offs (91st and 98th centiles for overweight and obesity) used to assess individual children; this is to capture children in the population in the clinical overweight or obesity BMI categories and those who are at high risk of moving into the clinical overweight or clinical obesity categories. This helps ensure that adequate services are planned and delivered for the whole population.

Rationale There is concern about the rise of childhood obesity and the implications of obesity persisting into adulthood. The risk of obesity in adulthood and risk of future obesity-related ill health are greater as children get older. Studies tracking child obesity into adulthood have found that the probability of children who are overweight or living with obesity becoming overweight or obese adults increases with age[1,2,3]. The health consequences of childhood obesity include: increased blood lipids, glucose intolerance, Type 2 diabetes, hypertension, increases in liver enzymes associated with fatty liver, exacerbation of conditions such as asthma and psychological problems such as social isolation, low self-esteem, teasing and bullying.

It is important to look at the prevalence of weight status across all weight/BMI categories to understand the whole picture and the movement of the population between categories over time.

The National Institute of Health and Clinical Excellence have produced guidelines to tackle obesity in adults and children - http://guidance.nice.org.uk/CG43.

1 Guo SS, Chumlea WC. Tracking of body mass index in children in relation to overweight in adulthood. The American Journal of Clinical Nutrition 1999;70(suppl): 145S-8S.

2 Serdula MK, Ivery D, Coates RJ, Freedman DS, Williamson DF, Byers T. Do obese children become obese adults? A review of the literature. Preventative Medicine 1993;22:167-77.

3 Starc G, Strel J. Tracking excess weight and obesity from childhood to young adulthood: a 12-year prospective cohort study in Slovenia. Public Health Nutrition 2011;14:49-55.

Definition of numerator Number of children in year 6 (aged 10 to 11 years) with a valid height and weight measured by the NCMP with a BMI classified as overweight or living with obesity, including severe obesity (BMI on or above the 85th centile of the UK90 growth reference).

Definition of denominator The number of children in year 6 (aged 10 to 11 years) with a valid height and weight measured by the NCMP.

Caveats Data for local authorities may not match that published by NHS England which are based on the local authority of the school attended by the child or based on the local authority that submitted the data. There is a strong correlation between deprivation and child obesity prevalence and users of these data may wish to examine the pattern in their local area. Users may wish to produce thematic maps and charts showing local child obesity prevalence. When presenting data in charts or maps it is important, where possible, to consider the confidence intervals (CIs) around the figures. This analysis supersedes previously published data for small area geographies and historically published data should not be compared to the latest publication. Estimated data published in this fingertips tool is not comparable with previously published data due to changes in methods over the different years of production. These methods changes include; moving from estimated numbers at ward level to actual numbers; revision of geographical boundaries (including ward boundary changes and conversion from 2001 MSOA boundaries to 2011 boundaries); disclosure control methodology changes. The most recently published data applies the same methods across all years of data. There is the potential for error in the collection, collation and interpretation of the data (bias may be introduced due to poor response rates and selective opt out of children with a high BMI for age/sex which it is not possible to control for). There is not a good measure of response bias and the degree of selective opt out, but participation rates (the proportion of eligible school children who were measured) may provide a reasonable proxy; the higher the participation rate, the less chance there is for selective opt out, though this is not a perfect method of assessment. Participation rates for each local authority are available in the https://fingertips.phe.org.uk/profile/national-child-measurement-programme/data#page/4/gid/8000022/ of this profile.

These concentrations maps are provided to assist local authorities in support of Review and Assessment of local air quality. Users should note that 2010-based maps now replace the 2008-based maps. The 2010-based background maps are calibrated against monitoring data for 2010 Updated maps with a 2011 base will be released in due course. More information regarding the maps is available here. Accessed on 2014-04-25T14:04:00. Licence: None

This dataset is published as Open DataThe Water Intended for Human Consumption (Private Supplies) (Scotland) Regulations 2017 came into force in October 2017, and are regulated and enforced by Local Authorities. See https://www.legislation.gov.uk/ssi/2017/282/schedule/1/madeThe main objective of the Regulations is to ensure the provision of clean, safe drinking water and to deliver significant health benefits to those using private water supplies.The DWQR has an independent role in verifying that the Regulations are complied with and also reports on compliance with the Regulations to the European Commission. Local Authorities are required to maintain a register of every private water supply to premises in its area."UPRN" and "address" are MANDATORY fields for both these layers in this dataset.The data has been processed automatically to try and find closest referenced address point, details of which are included along with the resulting search distance.

Local Nature Partnerships (LNPs) are a key Environment White Paper commitment. There are forty nine strategic partnerships consisting of a wide range of local organisations with members drawn from environmental, business, health, academic and land owning sectors providing almost total geographic coverage in England. Government was not prescriptive about LNP boundaries were defined. LNPs were encouraged to establish the most appropriate boundary for their area, whether ecological, administrative or a mixture of both. The majority of partnerships established themselves along administrative local authority boundaries with a number determined by a mix of of landscape level features and administrative boundaries and relatively few determined by ecological characteristics. LNPs work strategically to help their local area manage the natural environment. They aim to make sure that its value, and the value of the services it provides to the economy and the people who live there, is taken into account in local decisions, for example about planning and development. LNPs are also being encouraged to work at a large scale, which we call ‘landscape-scale’, and to identify Nature Improvement Areas using these criteria, found at this location (https://www.gov.uk/government/publications/criteria-to-apply-when-identifying-nature-improvement-areas)Full metadata can be viewed on data.gov.uk.

This is a lookup file between local authority districts, Public Health England Centres and Public Health England Regions in England as at 31st December 2019. (File Size - 26 KB)Field Names - LAD19CD, LAD19NM, PHEC19CD, PHEC19CDH, PHEC19NM, PHEREG19CD, PHEREG19CDH, PHEREG19NM, FIDField Types - Text, Text, Text, Text, Text, Text, Text, TextField Lengths - 9, 35, 9, 8, 20, 9, 6, 28FID = The FID, or Feature ID is created by the publication process when the names and codes / lookup products are published to the Open Geography portalREST URL of Feature Access Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/LAD19_PHEC19_PHEREG19_EN_LU_38a702459dca46bd83d9f925ba32ef73/FeatureServer