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Annual data on Civil Service employment in the UK, including gender, ethnicity, disability status, earnings and location of the Civil Service workforce.
This dataset has now been transferred to the Cabinet Office.
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Families and children in the UK by family type including married couples, cohabiting couples and lone parents. Also shows household size and people living alone.
The Community Life Survey collects information about the wellbeing of adults (16+).
In October 2018, the Prime Minister launched the government’s first loneliness strategy for England. This statistical release presents the most recent headline findings on levels of loneliness, as well as support networks and social networks.
The Community Life Survey uses the Government Statistical Service (GSS) harmonised principle of loneliness and wellbeing. The estimates presented here are therefore comparable with other surveys that use this principle. However we advise taking caution when comparing measures from different surveys because differences in the methodology (e.g. mode/sampling approach) will all affect estimates. Other statistical data sets that use this definition, and therefore have comparative data, are available from the https://gss.civilservice.gov.uk/policy-store/loneliness-indicators/" class="govuk-link">GSS guidance page. In Annex C there are details of further surveys that have adopted the Government Statistical Service harmonised principles of loneliness and Wellbeing.
Average scores for life satisfaction, the extent to how worthwhile the respondent felt things in their life were and happiness have decreased since 2019/20.
Life satisfaction score was 6.9 (out of 10) in 2020/21, a decrease from 7.0 in 2019/20.
How happy people felt yesterday decreased from 7.0 (out of 10) in 2019/20 to 6.8 in 2020/21. This has trended downwards from 7.2 in 2015/16.
Whether people felt the things they did were worthwhile decreased to 7.1 (out of 10) in 2020/21 from 7.3 in 2020/21.
How anxious people felt yesterday at the time of survey completion averaged at 3.8 (out of 10), which was in line with the figure in 2019/20. This figure has trended upwards from 2015/16 where it was 3.3.
6% of respondents (approximately 3 million people in England) said they felt lonely often/always. This is in line with reported loneliness from 2019/20.
Loneliness was higher for 16-24 year olds, the most deprived and those with a long term limiting illness or disability.
An indirect loneliness composite score was produced which found significantly higher loneliness scores for those with a long term limiting illness or disability compared to those without.
https://www.ons.gov.uk/peoplepopulationandcommunity/wellbeing/articles/measuresofnationalwellbeingdashboard/2018-04-25" class="govuk-link">Measures of National Wellbeing Dashboard, which monitors and reports on multiple wellbeing measures.
Chapter 1 of the Community Life Survey provides estimates on support networks and methods of communicating with friends and family.
In December 2020, DCMS published the second ’Community Life Survey: Focus on Loneliness’. This used data from the 2019/20 survey, giving more detailed breakdowns by demographics and looking at the link between loneliness and other measures from the survey, such as volunteering and community engagement.
In June 2020, the Office for National Statistics released a paper titled “https://www.ons.gov.uk/peoplepopulationandcommunity/wellbeing/bulletins/coronavirusandlonelinessgreatbritain/3aprilto3may2020" class="govuk-link">Coronavirus and Loneliness, Great Britain”, which gives an overview of how different groups of people experienced loneliness during the COVID-19 Pandemic. A number of other studies of the effect of the Coronavirus pandemic on loneliness have been published. These include the https://www.covidsocialstudy.org/" class="govuk-link">COVID Social Study (conducted by University College London), and the ONS publication https://www.ons.gov.uk/peoplepopulationandcommunity/wellbeing/articles/mappinglonelinessduringthecoronaviruspandemic/2021-04-07" class="govuk-link">Mapping Loneliness during the coronavirus pandemic.
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Pivot table for life expectancy by sex and area type, divided by three-year intervals starting from 2001 to 2003.
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Weighted estimates from the voluntary fortnightly Business Insights and Conditions Survey (BICS) about financial performance, workforce, prices, trade, and business resilience. These are official statistics in development.
The Community Life Survey collects information about the way adults (16+) perceive their neighbourhood and community.
37% of respondents (approximately 17 million people in England) agreed that they borrow from, and exchange favours with, their neighbours which was in line with 2019/20. This measure however was statistically significantly lower than in 2013/14, when data was first collected (42%, approximately 23 million people).
83% of respondents (approximately 38 million people in England) agreed that their area is a place where people from different backgrounds get on well together. This was in line with the 2019/20 figure.
79% of respondents (approximately 36 million people in England) were satisfied with their local area as a place to live, a statistically significant increase than in 2019/20 (76%).
65% of respondents (approximately 30 million people in England) felt they belonged to their neighbourhood. This was inline with the 2019/20 figure.
84% of respondents (approximately 38 million people in England) felt they belonged to Britain. This was inline with the 2019/20 figure.
65% of respondents (approximately 30 million people in England) agreed that people in their neighbourhood pull together to improve the neighbourhood. This is statistically significantly higher than in 2019/20 (59%) and the highest agreement recorded since the CLS began in 2013/14.
https://www.ons.gov.uk/peoplepopulationandcommunity/wellbeing/datasets/socialcapitalheadlineindicators" class="govuk-link">Social capital headline indicators, which presents data on subjects including the opinions of respondents about their neighbourhood
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Super Output Areas are a geographic hierarchy designed to improve the reporting of small-area statistics.
The Lower Super Output Areas and Data Zones list contains 42,619 areas of the following constituent geographies:
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).
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Estimates of industry inputs and outputs, product supply and demand, and gross value added (GVA) for the UK. Supply and use tables for 1997 to 2022 are consistent with the UK National Accounts in Blue Book 2024.
https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences
This is the ONS Postcode Directory (ONSPD) for the United Kingdom as at February 2024 in Comma Separated Variable (CSV) and ASCII text (TXT) formats. This file contains the multi CSVs so that postcode areas can be opened in MS Excel. To download the zip file click the Download button. The ONSPD relates both current and terminated postcodes in the United Kingdom to a range of current statutory administrative, electoral, health and other area geographies. It also links postcodes to pre-2002 health areas, 1991 Census enumeration districts for England and Wales, 2001 Census Output Areas (OA) and Super Output Areas (SOA) for England and Wales, 2001 Census OAs and SOAs for Northern Ireland and 2001 Census OAs and Data Zones (DZ) for Scotland. It now contains 2021 Census OAs and SOAs for England, Wales and Northern Ireland. It helps support the production of area-based statistics from postcoded data. The ONSPD is produced by ONS Geography, who provide geographic support to the Office for National Statistics (ONS) and geographic services used by other organisations. The ONSPD is issued quarterly. (File size - 231 MB) Please note that this product contains Royal Mail, Gridlink, LPS (Northern Ireland), Ordnance Survey and ONS Intellectual Property Rights.
A tracer breakthrough curve (BTC) for each sampling station is the ultimate goal of every quantitative hydrologic tracing study, and dataset size can critically affect the BTC. Groundwater-tracing data obtained using in situ automatic sampling or detection devices may result in very high-density data sets. Data-dense tracer BTCs obtained using in situ devices and stored in dataloggers can result in visually cluttered overlapping data points. The relatively large amounts of data detected by high-frequency settings available on in situ devices and stored in dataloggers ensure that important tracer BTC features, such as data peaks, are not missed. Alternatively, such dense datasets can also be difficult to interpret. Even more difficult, is the application of such dense data sets in solute-transport models that may not be able to adequately reproduce tracer BTC shapes due to the overwhelming mass of data. One solution to the difficulties associated with analyzing, interpreting, and modeling dense data sets is the selective removal of blocks of the data from the total dataset. Although it is possible to arrange to skip blocks of tracer BTC data in a periodic sense (data decimation) so as to lessen the size and density of the dataset, skipping or deleting blocks of data also may result in missing the important features that the high-frequency detection setting efforts were intended to detect. Rather than removing, reducing, or reformulating data overlap, signal filtering and smoothing may be utilized but smoothing errors (e.g., averaging errors, outliers, and potential time shifts) need to be considered. Appropriate probability distributions to tracer BTCs may be used to describe typical tracer BTC shapes, which usually include long tails. Recognizing appropriate probability distributions applicable to tracer BTCs can help in understanding some aspects of the tracer migration. This dataset is associated with the following publications: Field, M. Tracer-Test Results for the Central Chemical Superfund Site, Hagerstown, Md. May 2014 -- December 2015. U.S. Environmental Protection Agency, Washington, DC, USA, 2017. Field, M. On Tracer Breakthrough Curve Dataset Size, Shape, and Statistical Distribution. ADVANCES IN WATER RESOURCES. Elsevier Science Ltd, New York, NY, USA, 141: 1-19, (2020).
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Breakdowns of the prevalence of homeworking by industry, occupation, region, age, sex and ethnicity.
Table showing numbers of people who work in an area by public/private sector and whether full-time or part-time. Data from Business Register Employment Survey (BRES, ONS)
Employment is defined as employees plus working proprietors
Figures may not add up due to rounding. Figures are rounded to the nearest thousand and to one decimal place. For example 2.4 is equal to 2,400 employment, and represents a figure in the range 2,350 - 2,449.
Employees - An employee is anyone aged 16 years or over that an organisation directly pays from its payroll(s), in return for carrying out a full-time or part-time job or being on a training scheme. It excludes voluntary workers, self-employed and working owners who are not paid via PAYE
Working Proprietors are sole traders, sole proprietors, partners and directors. This does not apply to registered charities
Employment = employees + working proprietors
Part time - those working 30 hours or less per week
Full time - those working more than 30 hours per week
The private sector is defined as: Company, Sole Proprietor, Partnership and Non Profit Body or Mutual Association. Public sector employees are those in: Public corporations/ Nationalised Bodies, Central Government and Local Authority.
See BRES pages on ONS Website, or download from NOMIS
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Super Output Areas are a geographic hierarchy designed to improve the reporting of small-area statistics.
The Middle Super Output Areas and Intermediate Zones area list contains 8,660 areas of the following constituent geographies:
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).
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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This release presents insight into the provision of unpaid care in England and Wales in 2021. Key findings are presented at country, regional and local authority level and analysis on deprivation.
The data used to create these tables have been adjusted to avoid the release of confidential data. Country, region and local authority are based on 2021 boundaries. Counts have been rounded to the nearest 5, and these rounded counts were used to calculate age-standardised and age-specific percentages; this is for consistency with statistical disclosure methods.
All figures are individually rounded; totals may not sum exactly because of this rounding. Data represents usual residents aged 5 years and over.
Age-specific percentage
Age-specific percentages are used to allow comparisons between specified age groups.
Details can be found here
Age-standardised percentage
Age-standardised percentages (ASPs) allow for comparison between populations over time and across geographies, as they account for differences in the population size and age structure. The 2013 European Standard Population is used to standardise proportions.
The 2013 European Standard Population can be found here
_Confidence interval _
The lower and upper 95% confidence limits form a confidence interval (CI), which is a measure of the statistical precision of an estimate and shows the range of uncertainty around the figure. As a general rule, if the CI around one figure overlaps with the interval around another, we cannot say with certainty that there is more than a chance difference between the two figures.
Index of multiple deprivation
National deciles and quintiles of area deprivation are created through ranking small geographical populations known as Lower layer Super Output Areas (LSOAs) based on their deprivation score from most to least deprived and grouping them into 10 or 5 divisions based on the subsequent ranking. We have used the 2019 IMD and WIMD because this is the most up to date version at the time of publishing.
Unpaid carer
In 2021: A person is a provider of unpaid care if they look after or give help or support to anyone because of long-term physical or mental health conditions or illnesses, or problems related to old age.
In 2011 and 2001: A person is a provider of unpaid care if they look after, give help or support to family members, friends, neighbours or others because of long-term physical or mental ill-health/disability, or problems related to old age.
In 2001, 2011 and 2021, this does not include any activities as part of paid employment. No distinction is made about whether any care that a person provides is within their own household or outside the household. A person can only be classified as an unpaid carer if they are aged 5 years or over.
Usual resident
For Census 2021, a usual resident of the UK is anyone who, on Census Day, was in the UK and had stayed or intended to stay in the UK for a period of 12 months or more or had a permanent UK address and was outside the UK and intended to be outside the UK for less than 12 months.
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Labour market statistics summary data table, including earnings, employment, unemployment, redundancies and vacancies, Great Britain and UK, published monthly.
These are the key findings from the second of three rounds of the DCMS Coronavirus Business Survey. These surveys are being conducted to help DCMS understand how our sectors are responding to the ongoing Coronavirus pandemic. The data collected is not longitudinal as responses are voluntary, meaning that businesses have no obligation to complete multiple rounds of the survey and businesses that did not submit a response to one round are not excluded from response collection in following rounds.
The indicators and analysis presented in this bulletin are based on responses from the voluntary business survey, which captures organisations responses on how their turnover, costs, workforce and resilience have been affected by the coronavirus (COVID-19) outbreak. The results presented in this release are based on 3,870 completed responses collected between 17 August and 8 September 2020.
This is the first time we have published these results as Official Statistics. An earlier round of the business survey can be found on gov.uk.
We have designated these as Experimental Statistics, which are newly developed or innovative statistics. These are published so that users and stakeholders can be involved in the assessment of their suitability and quality at an early stage.
We expect to publish a third round of the survey before the end of the financial year. To inform that release, we would welcome any user feedback on the presentation of these results to evidence@dcms.gov.uk by the end of November 2020.
The survey was run simultaneously through DCMS stakeholder engagement channels and via a YouGov panel.
The two sets of results have been merged to create one final dataset.
Invitations to submit a response to the survey were circulated to businesses in relevant sectors through DCMS stakeholder engagement channels, prompting 2,579 responses.
YouGov’s business omnibus panel elicited a further 1,288 responses. YouGov’s respondents are part of their panel of over one million adults in the UK. A series of pre-screened information on these panellists allows YouGov to target senior decision-makers of organisations in DCMS sectors.
One purpose of the survey is to highlight the characteristics of organisations in DCMS sectors whose viability is under threat in order to shape further government support. The timeliness of these results is essential, and there are some limitations, arising from the need for this timely information:
This release is published in accordance with the Code of Practice for Statistics, as produced by the UK Statistics Authority. The Authority has the overall objective of promoting and safeguarding the production and publication of official statistics that serve the public good. It monitors and reports on all official statistics, and promotes good practice in this area.
The responsible statistician for this release is Alex Bjorkegren. For further details about the estimates, or to be added to a distribution list for future updates, please email us at evidence@dcms.gov.uk.
The document above contains a list of ministers and officials who have received privileged early access to this release. In line with best practice, the list has been kept to a minimum and those given access for briefing purposes had a maximum of 24 hours.
https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences
This file contains the digital vector boundaries for built up areas in Great Britain as at December 2022. The built up area boundaries are generalised and created using an automated approach based on a 25m grid squares (BGG).This file has been created from OS Open Built Up Areas. Further information about this product can be found in our FAQ document or from Ordnance Survey’s product information page.
Please note that this product contains both Ordnance Survey and ONS Intellectual Property Rights.
Gross earnings per head: by place of residence from the Annual Survey of Hours and Earnings (ASHE), ONS.
This data set provides information about earnings of employees who are living in an area, who are on adult rates and whose pay for the survey pay-period was not affected by absence.
ASHE is based on a sample of employee jobs taken from HM Revenue & Customs PAYE records (177,000 returns in 2009). Information on earnings and hours is obtained in confidence from employers. ASHE does not cover the self-employed nor does it cover employees not paid during the reference period.
The earnings information presented relates to gross pay before tax, National Insurance or other deductions, and excludes payments in kind.
The confidence figure is the coefficient of variation (CV) of that estimate. The CV is the ratio of the standard error of an estimate to the estimate itself and is expressed as a percentage. The smaller the coefficient of variation the greater the accuracy of the estimate. The true value is likely to lie within +/- twice the CV.
Results for 2003 and earlier exclude supplementary surveys. In 2006 there were a number of methodological changes made.
The headline statistics for ASHE are based on the median rather than the mean. The median is the value below which 50 per cent of employees fall. It is ONS's preferred measure of average earnings as it is less affected by a relatively small number of very high earners and the skewed distribution of earnings. It therefore gives a better indication of typical pay than the mean.
The best figure to use for comparing earnings for men and women, is the hourly earnings excluding overtime. Including overtime can distort the picture as men work relatively more overtime than women.
Survey data from a sample frame, use caution if using for performance measurement and trend analysis
'#' These figures are suppressed as statistically unreliable.
! Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2).
Visit ONS website
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Great Britain (GB) is, strictly speaking, just the largest island in the British Isles. However, it is generally taken to refer to the whole of England, Scotland and Wales, including offshore islands. It does not include Northern Ireland, the Channel Islands or the Isle of Man.
Sourced from ONS
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).
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Counties were formerly administrative units across the whole of the UK. Due to various administrative restructurings, however, the only administrative areas still referred to as 'counties' are the Non-Metropolitan Districts of England. The English Metropolitan Districts, although no longer administrative units, are also used for statistical purposes.
The Counties area list contains 35 areas of the following constituent English geographies:
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).
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Annual data on Civil Service employment in the UK, including gender, ethnicity, disability status, earnings and location of the Civil Service workforce.
This dataset has now been transferred to the Cabinet Office.