This dataset is part of the Geographical repository maintained by Opendatasoft. This dataset contains data for counties and unitary authorities in the United Kingdom.In 1974 a two-tier administrative structure of (shire and metropolitan) counties and non-metropolitan districts was set up across England and Wales, except for the Isles of Scilly and Greater London. Council functions were divided according to the level at which they could be practised most efficiently. As a consequence, counties took on functions including education, transport, strategic planning, fire services, consumer protection, refuse disposal, smallholdings, social services and libraries, whereas each LAD had responsibility for local planning, housing, local highways, building, environmental health, refuse collection and cemeteries. Responsibility for recreation and cultural matters was divided between the two tiers. Following the Local Government Reorganisation in the 1990s, major changes were implemented to create administrations most appropriate to the needs of the area concerned. The key feature of this change was the introduction of unitary authorities: single-tier administrations with responsibility for all areas of local government. Between 1995 and 1998 these were established in a number of areas across the country, especially in medium-sized urban areas, whilst other areas retained a two-tier structure. Further local government reorganisation occurred in 2009 and there are currently 57 unitary authorities (UA) in England, and 25 shire counties split into 188 (non-metropolitan) districts. Note that due to the changes in Cornwall, the Isles of Scilly are considered a UA for coding purposes.Processors and tools are using this data.EnhancementsAdd ISO 3166-3 codes.Simplify geometries to provide better performance across the services.Add administrative hierarchy.

This table contains 30 series, with data for years 1871 - 1971 (not all combinations necessarily have data for all years), and was last released on 2012-02-16. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...) Birthplace (30 items: Total all countries; England and Wales; Northern Ireland; Scotland ...).

This file includes calculated population density (per hectare) for LSOAs across the West of England and North Somerset. Density has been calculated for total population as well as certain gender/age breakdowns.The source data comes from the ONS, including:(1) Estimates by broad age groups and sex for 2021 Lower layer Super Output Areas, mid-2022(2) Land count (Area in Hectares) for 2021 LSOAs

This archive contains the ESRC funded data collection (UK data) only. The data collection contains a state file consisting of 902 variables, 677 observations. The codebook available in the data collection provides detailed descriptions of variables and data codes (missing etc). For more information please contact stephani.hatch@kcl.ac.uk Research from the United Kingdom and the United States shows wide health inequalities by race/ethnicity and socio-economic status. So far we do not clearly understand the roles that discrimination and social context play in creating these inequalities. Research teams at King's College London (UK) and Columbia University (USA) will carry out studies to investigate: the roles that the historical social context and policy play in shaping observed patterns of health inequalities; differences in anticipated and perceived experiences of discrimination; how discrimination contributes to inequalities in everyday social functioning, mental health, physical health, and use of health services. Comparisons will be made with 1600 adults from two larger studies, (i) the UK National Institute for Health Research-funded South East London Community Health study at the Biomedical Research Centre for Mental Health, and (ii) the US National Institute of Health-funded Child Health and Development Disparities Study in the East Bay Area of California. UK and US researchers, health practitioners, and community members will be invited to participate in developing the social and historical contextual narratives and in planning the dissemination of our research findings. South East London Community Health (SELCoH) study is a follow up study of the community psychiatric and physical morbidity of adults, age 16 years and over from randomly selected households in the south London boroughs of Southwark and Lambeth. Participants were identified through use of the random household sampling as described and used for the Household Survey of the National Survey of Psychiatric morbidity (1). The sample is stratified across the two boroughs to ensure a similar sample size for each area. Individuals were eligible for participation providing they lived in a household in the catchment area. No further exclusion criteria applied. Recruitment for phase 1 (hereafter SELCoH-I), was done between 2008 and 2010, with the final data-set containing information on 1698 adults, aged between 16 and 90 years, from 1075 randomly selected households across two London boroughs. Further details on SELCoH’s organisation, sample and procedures may be found elsewhere (2). Most (94%) of the SELCoHI study participants agreed to be contacted for future studies. The second phase of SELCoH (hereafter SELCoH-II) is a coordinated follow up of participants that participated in the SELCoHI who have agreed to be followed up. This study is also shared with the study entitled, ‘An Health Disparities Study of Discrimination & Disparities in Health & Health Service Use in the UK and US (Health Disparities study) for which the UK sample is drawn from SELCoH I. Thus SELCoHII aimed to update the locally relevant prevalence estimates and to investigate the influence of deleterious experiences across different demographic groups. Recruitment of SELCoH study participants began by sending a letter describing the study. This was sent two weeks in advance of interviewers visiting a household. During each household visit, interviewers attempted contact with a resident. Where contact was achieved, potential participants were given study information, reminded that their continued engagement was voluntary and, where possible, scheduled for an in-home interview. A maximum of four contact attempts (inclusive of any messages and/or home visits) were permitted per eligible individual. Closely supervised, trained interviewers conducted face-to-face interviews with computer assisted interview schedules. The survey questionnaire collected information on the following topics: (1) demographics; (2) migration; (3) socioeconomic status (SES); (4) ethnic identity (5)work attitude and experience (6) psychosocial factors (e.g., social support); (7) neighbourhood characteristics; (8) social adversity; (9) health behaviours; (10) physical and mental health status; (11) treatment and health service use; (12) access to technology; (13) the experience of unfair treatment and discrimination; (14) coping methods; (15) wellbeing. Translators employed by the SLAM NHS Trust were used in interviews with non-English speaking adults upon request. Participants were able to end the interview at any time and compensated for their time. We also provided an option to do a telephone interview for participants who moved out of London. References 1. Jenkins R, Bebbington P, Brugha T, Farrell M, Gill B, Lewis G, Meltzer H, Petticrew M: The National Psychiatric Morbidity surveys of Great Britain-strategy and methods. Psychological Medicine 1997, 27(4): 765-774. 2. Hatch SL, Frissa S, Verdecchia M, Stewart R, Fear NT, Reichenberg A, Morgan C, Kankulu B, Clark J, Gazard B, Medcalf R, the SELCoH study team, Hotopf M: Identifying socio-demographic and socioeconomic determinants of health inequalities in a diverse London community: the South East London Community Health (SELCoH) study. BMC Public Health (2011) 11:861

This population estimates pyramid animates the changes in the age distribution of Alberta’s population.

This dataset consolidates various LNRS data into a single table to feed into the LNRS app.

Species that have been identified as important for local nature recovery. Full details of the species are in the LNRS key species dataset.

This data was collected as a part of the UK CCS Research Centre Call 2 Project C2-197: Multi scale characterisation of CO2 Storage in the United Kingdom. This is tabular data and X-ray imagery of drainage and imbibition relative permeability measured on reservoir rocks from the S. North Sea, N. North Sea, and E. Irish Sea of the Offshore UK. The data were obtained through measurements made at two distinct flow rates to allow for an evaluation of the impact of rock heterogeneity. Full details of the rock properties and experiments can be found in Reynolds et al. (2018) reference 3 below, the Final Report of the Project, as well as in the PhD Thesis of Catriona Reynolds with full references given below. Any use of the data should reference the journal article, reference 3 below. Geographical Area - Bunter sandstone in S. North Sea, Cleethorpes-1 Well, 1312.7-1316.1 m depth; Ormsirk sandstone in E. Irish Sea, Block 110/2a, 1247.9-1248.1 m depth; Captain sandstone in N. North Sea, Well 14/29a-3, 2997.6-3005.1 m depth. References 1. Imperial College London and British Geological Survey, Multiscale Characterisation of CO2 Storage in the United Kingdom, UKCCSRC Call 2 Project Final Report, 2016 2. Reynolds, C. Two-phase flow behaviour and relative permeability between CO2 and brine in sandstones at the pore and core scales, PhD Thesis, 2016, Imperial College London. 3. Reynolds, C.A., Blunt, M.J., Krevor, S. 2018, Multiphase flow characteristics of heterogeneous rocks from CO2 storage reservoirs in the United Kingdom, Water Resources Research, 54, 2, 729-745

Schemes for funding nature recovery in LNRS priority areas. The area_id is related to the the area_id in LNRS Priority Areas dataset.

United Kingdom UK: Mortality Rate: Adult: Female: per 1000 Female Adults data was reported at 53.693 Ratio in 2014. This records a decrease from the previous number of 53.890 Ratio for 2013. United Kingdom UK: Mortality Rate: Adult: Female: per 1000 Female Adults data is updated yearly, averaging 83.533 Ratio from Dec 1960 (Median) to 2014, with 55 observations. The data reached an all-time high of 111.369 Ratio in 1963 and a record low of 53.693 Ratio in 2014. United Kingdom UK: Mortality Rate: Adult: Female: per 1000 Female Adults 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. Adult mortality rate, female, is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old female dying before reaching age 60, if subject to age-specific mortality rates of the specified year between those ages.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) University of California, Berkeley, and Max Planck Institute for Demographic Research. The Human Mortality Database.; Weighted average;

An extract of the National Forest Inventory (NFI). This covers all forest and woodland area over 0.5 hectare with a minimum of 20% canopy cover, or the potential to achieve it, and a minimum width of 20 metres in the West of England (including North Somerset).This includes areas of new planting, clearfell, windblow and restock. The woodland map excludes all 'tarmac' roads and active railways, and forest roads, rivers and powerlines where the gap in the woodland is greater than 20 meters wide.All woodland (both urban and rural), regardless of ownership, is 0.5 hectare or greater in extent, with the exception of Assumed woodland or Low density areas that can be 0.1 hectare or greater in extent. Also, in the case of woodland areas that cross the countries borders, the minimum size restriction does not apply if the overall area complies with the minimum size. Full metadata is available from the Forestry Commission.

United Kingdom UK: Mortality Rate: Adult: Male: per 1000 Male Adults data was reported at 84.007 Ratio in 2014. This records a decrease from the previous number of 85.183 Ratio for 2013. United Kingdom UK: Mortality Rate: Adult: Male: per 1000 Male Adults data is updated yearly, averaging 137.527 Ratio from Dec 1960 (Median) to 2014, with 55 observations. The data reached an all-time high of 189.602 Ratio in 1963 and a record low of 83.932 Ratio in 2012. United Kingdom UK: Mortality Rate: Adult: Male: per 1000 Male Adults 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. Adult mortality rate, male, is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old male dying before reaching age 60, if subject to age-specific mortality rates of the specified year between those ages.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) University of California, Berkeley, and Max Planck Institute for Demographic Research. The Human Mortality Database.; Weighted average;

The EEC has been running Labour Force Surveys since 1960. The UK participated for the first time In 1973 and surveys have taken place every two years since then, so this is the fifth survey in this country. The main purpose of the survey is to provide statistics on the number of employed and unemployed and the kinds of jobs they do. Because different countries have different ways of recording these for official purposes it is difficult to make comparisons between countries in the EEC. One of the main aims of this survey is to provide this information on a strictly comparable basis for each country. The statistics are then used by the E.EC to develop social policies which will be applied to Britain and all the other countries. The UKs claims on the Social Fund of the Community, which disposes of many millions of pounds a year, are thus added by statistics from the survey. The data is also used by the SSC in deciding on grants for re-training programmes which are designed to combat unemployment in particular regions . This data was acquired from The Essex Data Archive with funds provided by Prof. L.N. Christofidies and the Dept. of Economics. The 1981 survey has 4 separate components. The master file contains 257,877 observations and 531 variables.

This dataset provides Census 2021 estimates that classify usual residents aged 5 years and over in England and Wales by ethnic group, by provision of unpaid care, and by general health. The estimates are as at Census Day, 21 March 2021.

The ONS did not ask people aged under five years whether they provided unpaid care, so this variable counts usual residents aged five years and over. 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

Ethnic group

The ethnic group that the person completing the census feels they belong to. This could be based on their culture, family background, identity or physical appearance.

Respondents could choose one out of 19 tick-box response categories, including write-in response options.

Unpaid care

An unpaid carer may look after, give help or support to anyone who has long-term physical or mental ill-health conditions, illness or problems related to old age.

This does not include any activities as part of paid employment.

This help can be within or outside of the carer's household.

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.

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This is identical to the Focus areas for nature recovery dataset but split into grids for faster rendering as a layer in the LNRS app. If you are re - using the focus area dataset please use the link given above in preference to this dataset.

Ethnicity population data by Lower Super Output Area as recorded in the 2021 census.

This data calculates the number of dwellings per hectare in each LSOA in the West of England and North Somerset, using the below data –(1) Dwellings dataThe selected dataset provides Census 2021 estimates on the number of dwellings in England and Wales. The estimates are as at Census Day, 21 March 2021.Dwelling definition“A dwelling is a unit of accommodation that may be empty or being lived in, for example houses or flats. They are usually made up of one household, but those with more than one household are shared and called a “shared dwelling”.If a dwelling has no usual residents living in them, for example they are empty after being sold, these are called “unoccupied dwellings” but may be used by short-term residents or visitors on Census Day, 21 March 2021, for example holiday homes.” (ONS)(2) Hectares dataTaken from: Standard Area Measurements for 2021 Statistical Geographies (March 2021) in EW (V2)Column used: Land count (Area in Hectares)

The data are a West of England (including North Somerset) subset of the underlying data of Nesta's Heat Pump Suitability Map, published September 2024. Heat pump suitability scores are provided per lower-layer super output area (LSOA) in England and Wales for four different low-carbon heating technology types, for both a 'conventional' view and Nesta's view of heat pump suitability.This dataset is the first working prototype of a LSOA-level heat pump suitability dataset produced by Nesta.

These data are derived from the 2019 Indices of multiple deprivation using the LSOA (2011 boundary) base data. They are drawn from the datasets provided by the humaniverse R package "IMD".The data are aggregated to ward level from Lower Super Output Area geography using the approach advised in Appendix A of the research report from ONS. The aggregated data are provided as a dataset in the R package and are subset to the Local Enterprise Partnership boundary, which includes North Somerset.The data include subdomain scores. The higher the score, the more deprived the ward. Proportions and extents are included to aid transparency.