Annual data on internet usage in Great Britain, including frequency of internet use, internet activities and internet purchasing.

Abstract copyright UK Data Service and data collection copyright owner.

Understanding Society, (UK Household Longitudinal Study), which began in 2009, is conducted by the Institute for Social and Economic Research (ISER) at the University of Essex and the survey research organisations Verian Group (formerly Kantar Public) and NatCen. It builds on and incorporates, the British Household Panel Survey (BHPS), which began in 1991.

The Understanding Society: Calendar Year Dataset, 2021, is designed to enable cross-sectional analysis of individuals and households relating specifically to their annual interviews conducted in the year 2021, and, therefore, combine data collected in three waves (Waves 11, 12 and 13). It has been produced from the same data collected in the main Understanding Society study and released in the longitudinal datasets SN 6614 (End User Licence) and SN 6931 (Special Licence). Such cross-sectional analysis can, however, only involve variables that are collected in every wave in order to have data for the full sample panel. The 2021 dataset is the second of a series of planned Calendar Year Datasets to facilitate cross-sectional analysis of specific years. Full details of the Calendar Year Dataset sample structure (including why some individual interviews from 2022 are included), data structure and additional supporting information can be found in the document '9193_calendar_year_dataset_2021_user_guide'.

As multi-topic studies, the purpose of Understanding Society is to understand the short- and long-term effects of social and economic change in the UK at the household and individual levels. The study has a strong emphasis on domains of family and social ties, employment, education, financial resources, and health. Understanding Society is an annual survey of each adult member of a nationally representative sample. The same individuals are re-interviewed in each wave approximately 12 months apart. When individuals move, they are followed within the UK, and anyone joining their households is also interviewed as long as they are living with them. The fieldwork period for a single wave is 24 months. Data collection uses computer-assisted personal interviewing (CAPI) and web interviews (from wave 7) and includes a telephone mop-up. From March 2020 (the end of wave 10 and 2nd year of wave 11), due to the coronavirus pandemic, face-to-face interviews were suspended, and the survey has been conducted by web and telephone only but otherwise has continued as before. One person completes the household questionnaire. Each person aged 16 or older participates in the individual adult interview and self-completed questionnaire. Youths aged 10 to 15 are asked to respond to a paper self-completion questionnaire. In 2020, an additional frequent web survey was separately issued to sample members to capture data on the rapid changes in people’s lives due to the COVID-19 pandemic (see SN 8644). The COVID-19 Survey data are not included in this dataset.

Further information may be found on the Understanding Society main stage webpage and links to publications based on the study can be found on the Understanding Society Latest Research webpage.

Co-funders

In addition to the Economic and Social Research Council, co-funders for the study included the Department of Work and Pensions, the Department for Education, the Department for Transport, the Department of Culture, Media and Sport, the Department for Community and Local Government, the Department of Health, the Scottish Government, the Welsh Assembly Government, the Northern Ireland Executive, the Department of Environment and Rural Affairs, and the Food Standards Agency.

End User Licence and Special Licence versions:

There are two versions of the Calendar Year 2021 data. One is available under the standard End User Licence (EUL) agreement, and the other is a Special Licence (SL) version. The SL version contains month and year of birth variables instead of just age, more detailed country and occupation coding for a number of variables and various income variables have not been top-coded (see the document '9194_eul_vs_sl_variable_differences' for more details). Users are advised to first obtain the standard EUL version of the data to see if they are sufficient for their research requirements. The SL data have more restrictive access conditions; prospective users of the SL version will need to complete an extra application form and demonstrate to the data owners exactly why they need access to the additional variables in order to get permission to use that version. The main longitudinal versions of the Understanding Society study may be found under SNs 6614 (EUL) and 6931 (SL).

Low- and Medium-level geographical identifiers produced for the mainstage longitudinal dataset can be used with this Calendar Year 2021 dataset, subject to SL access conditions. See...

Contains all the current domains and measures of national well-being for young people. As well as providing the latest data for each measure, where available a time series of data are also presented along with useful links to data sources and other websites which may be of interest.

These small area model-based estimates of subjective loneliness have been produced by Age UK, for people aged 65 and over at Borough level and middle and lower super output areas (MSOA/LSOA) in London.

They are calculated using a model based method using a combination of data from the English Longitudinal Survey of Ageing (ELSA) from 2010-12 and small area Census data from 2011. Further details of the methodology can be found at Age UK.

The different measures included in the data are

1. The ‘log odds’ of the risk of loneliness among older people

2. The estimated prevalence of loneliness among older people

3. The area ranking for London of the relative risk of loneliness among older people

4. The area ranking for England of the relative risk of loneliness among older people

Background notes:
1. Prevalence estimates: these estimates of prevalence are based on characteristics significantly associated with loneliness which could be estimated at small area level from 2011 Census data. Not all characteristics could be measured from the Census and so these estimates underestimate the true level of loneliness based on national survey and regular polling data. They are designed to be used to examine variation between areas rather than as a true estimate of the prevalence of loneliness in a given area

2. LSOA: Care needs to be taken when using estimates based on LSOA estimates due to other potential confounding factors such as communal establishment within the area such as care homes, hospitals, hospices etc. The risk factors were based on a survey of domestic rather than communal establishments only

3. The main aim of the modelling was to produce small area estimates which are not available for other sources. Borough level estimates are included for context, but alternative estimates at this level may give a more accurate assessment of prevalence

A map of the MSOA data can be viewed on the Datastore.

Source: Office for National Statistics

IntroductionThe UK Biobank (UKB) is a resource that includes detailed health-related data on about 500,000 individuals and is available to the research community. However, several obstacles limit immediate analysis of the data: data files vary in format, may be very large, and have numerical codes for column names.Resultsukbtools removes all the upfront data wrangling required to get a single dataset for statistical analysis. All associated data files are merged into a single dataset with descriptive column names. The package also provides tools to assist in quality control by exploring the primary demographics of subsets of participants; query of disease diagnoses for one or more individuals, and estimating disease frequency relative to a reference variable; and to retrieve genetic metadata.ConclusionHaving a dataset with meaningful variable names, a set of UKB-specific exploratory data analysis tools, disease query functions, and a set of helper functions to explore and write genetic metadata to file, will rapidly enable UKB users to undertake their research.

This is a monthly report on publicly funded community services for people of all ages using data from the Community Services Data Set (CSDS) reported in England for September 2024. It has been developed to help achieve better outcomes and provide data that will be used to commission services in a way that improves health, reduces inequalities, and supports service improvement and clinical quality. These statistics are classified as experimental and should be used with caution. Experimental statistics are new official statistics undergoing evaluation. More information about experimental statistics can be found on the UK Statistics Authority website (linked at the bottom of this page). A provisional data file for October 2024 is now included in this publication. Please note this is intended as an early view until providers submit a refresh of their data, which will be published next month.

Background
The Labour Force Survey (LFS) is a unique source of information using international definitions of employment and unemployment and economic inactivity, together with a wide range of related topics such as occupation, training, hours of work and personal characteristics of household members aged 16 years and over. It is used to inform social, economic and employment policy. The LFS was first conducted biennially from 1973-1983. Between 1984 and 1991 the survey was carried out annually and consisted of a quarterly survey conducted throughout the year and a 'boost' survey in the spring quarter (data were then collected seasonally). From 1992 quarterly data were made available, with a quarterly sample size approximately equivalent to that of the previous annual data. The survey then became known as the Quarterly Labour Force Survey (QLFS). From December 1994, data gathering for Northern Ireland moved to a full quarterly cycle to match the rest of the country, so the QLFS then covered the whole of the UK (though some additional annual Northern Ireland LFS datasets are also held at the UK Data Archive). Further information on the background to the QLFS may be found in the documentation.

Longitudinal data
The LFS retains each sample household for five consecutive quarters, with a fifth of the sample replaced each quarter. The main survey was designed to produce cross-sectional data, but the data on each individual have now been linked together to provide longitudinal information. The longitudinal data comprise two types of linked datasets, created using the weighting method to adjust for non-response bias. The two-quarter datasets link data from two consecutive waves, while the five-quarter datasets link across a whole year (for example January 2010 to March 2011 inclusive) and contain data from all five waves. A full series of longitudinal data has been produced, going back to winter 1992. Linking together records to create a longitudinal dimension can, for example, provide information on gross flows over time between different labour force categories (employed, unemployed and economically inactive). This will provide detail about people who have moved between the categories. Also, longitudinal information is useful in monitoring the effects of government policies and can be used to follow the subsequent activities and circumstances of people affected by specific policy initiatives, and to compare them with other groups in the population. There are however methodological problems which could distort the data resulting from this longitudinal linking. The ONS continues to research these issues and advises that the presentation of results should be carefully considered, and warnings should be included with outputs where necessary.

New reweighting policy
Following the new reweighting policy ONS has reviewed the latest population estimates made available during 2019 and have decided not to carry out a 2019 LFS and APS reweighting exercise. Therefore, the next reweighting exercise will take place in 2020. These will incorporate the 2019 Sub-National Population Projection data (published in May 2020) and 2019 Mid-Year Estimates (published in June 2020). It is expected that reweighted Labour Market aggregates and microdata will be published towards the end of 2020/early 2021.

LFS Documentation
The documentation available from the Archive to accompany LFS datasets largely consists of the latest version of each user guide volume alongside the appropriate questionnaire for the year concerned. However, volumes are updated periodically by ONS, so users are advised to check the latest documents on the ONS Labour Force Survey - User Guidance pages before commencing analysis. This is especially important for users of older QLFS studies, where information and guidance in the user guide documents may have changed over time.

Additional data derived from the QLFS
The Archive also holds further QLFS series: End User Licence (EUL) quarterly data; Secure Access datasets; household datasets; quarterly, annual and ad hoc module datasets compiled for Eurostat; and some additional annual Northern Ireland datasets.

Variables DISEA and LNGLST
Dataset A08 (Labour market status of disabled people) which ONS suspended due to an apparent discontinuity between April to June 2017 and July to September 2017 is now available. As a result of this apparent discontinuity and the inconclusive investigations at this stage, comparisons should be made with caution between April to June 2017 and subsequent time periods. However users should note that the estimates are not seasonally adjusted, so some of the change between quarters could be due to seasonality. Further recommendations on historical comparisons of the estimates will be given in November 2018 when ONS are due to publish estimates for July to September 2018.

An article explaining the quality assurance investigations that have been conducted so far is available on the ONS Methodology webpage. For any queries about Dataset A08 please email Labour.Market@ons.gov.uk.

Occupation data for 2021 and 2022 data files

The ONS has identified an issue with the collection of some occupational data in 2021 and 2022 data files in a number of their surveys. While they estimate any impacts will be small overall, this will affect the accuracy of the breakdowns of some detailed (four-digit Standard Occupational Classification (SOC)) occupations, and data derived from them. Further information can be found in the ONS article published on 11 July 2023: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/articles/revisionofmiscodedoccupationaldataintheonslabourforcesurveyuk/january2021toseptember2022" style="background-color: rgb(255, 255, 255);">Revision of miscoded occupational data in the ONS Labour Force Survey, UK: January 2021 to September 2022.

2022 Weighting

The population totals used for the latest LFS estimates use projected growth rates from Real Time Information (RTI) data for UK, EU and non-EU populations based on 2021 patterns. The total population used for the LFS therefore does not take into account any changes in migration, birth rates, death rates, and so on since June 2021, and hence levels estimates may be under- or over-estimating the true values and should be used with caution. Estimates of rates will, however, be robust.

Latest edition information

For the second edition (February 2025), the data file was resupplied with the 2024 weighting variable included (LGWT24).

The People and Nature Survey for England is one of the main sources of data and statistics on how people experience and think about the environment. It began collecting data in April 2020 and has been collecting data since.

The survey builds on the Monitor of Engagement with the Natural Environment (MENE) survey which ran from 2009 to 2019. Data from the People and Nature Survey for England enables users to:

• understand how people use, enjoy, and are motivated to protect the natural environment
• monitor changes in use of the natural environment over time, at a range of different spatial scales and for key groups within the population
• understand how being in the natural environment can influence wellbeing
• understand environmental attitudes and the actions people take at home, in the garden and in the wider community to protect the environment

This data contributes to Natural England’s delivery of statutory duties, informs Defra policy and natural capital accounting, and contributes to the outcome indicator framework for the 25 Year Environment Plan.

Different versions of the People and Nature Survey for England are available from the UK Data Archive under Open Access (SN 9092) conditions, End User Licence (SN 9093), and Secure Access (SN 9094).

The Secure Access version includes the same data as the End User Licence version, but includes more detailed variables including:

• age as a continuous variable
• sex
  
• whether gender is the same as at birth
• sexual orientation
• more detailed ethnicity
• where journey to recent visit to green and natural space started from
• visit date
• detailed home geography, including local authority districts, local nature recovery strategies areas, national character areas; urban/rural area, and Index of Multiple Deprivation
• a number of variables that have not been top-coded, including number of children and number of children in household, food and drink expenditure, and income

The Open Access version includes the same data as the End User Licence version, but does not include the following variables:

• age band
• gender identity
  
• marital status
• number of children living in household
• number of children
• work status
• student working status
• income
• qualification
• ethnicity and consent to answer ethnicity question
• number of vehicles
• presence of dog in household
• physical activity
• various health data

Researchers are advised to review the Open Access and/or the End User Licence versions to determine if these are adequate prior to ordering the Secure Access version.

Natural England's statistical practice is regulated by the Office for Statistics Regulation (OSR). OSR sets the standards of trustworthiness, quality and value in the Code of Practice for Statistics that all producers of official statistics should adhere to.

These accredited official statistics were independently reviewed by the Office for Statistics Regulation in January 2023. They comply with the standards of trustworthiness, quality and value in the Code of Practice for Statistics and should be labelled ‘accredited official statistics’.

Users are welcome to contact Natural England directly at people_and_nature@naturalengland.org.uk with any comments about how they meet these standards. Alternatively, users can contact OSR by emailing regulation@statistics.gov.uk or via the OSR website.

Since the latest review by the Office for Statistics Regulation, Natural England have continued to comply with the Code of Practice for Statistics, and have made the following improvements:

1. Published a development plan with timetables for future work, which will be updated annually
2. Ensured that users have opportunities to contribute to development planning through their biannual Research User Group
3. Enabled wider access to the data by publishing raw data sets through the UK Data Service
4. Provided users with guidance on how statistics from their products can be compared with those produced in the devolved nations
5. Published guidance on the differences between PaNS and MENE
6. Improved estimates of the percentage of people visiting nature in the previous 14 days by reducing the amount of respondents answering ‘don’t know’.

These data are available in Excel, SPSS, as well as Open Document Spreadsheet (ODS) formats.

Latest edition information

For the ninth edition (June 2025), data for October to December 2024 (Quarter 19) have been added.

UK residents by individual countries of birth and citizenship, broken down by UK country, local authority, unitary authority, metropolitan and London boroughs, and counties. Estimates from the Annual Population Survey.

This report presents information on obesity, physical activity and diet drawn together from a variety of sources for England. More information can be found in the source publications which contain a wider range of data and analysis. Each section provides an overview of key findings, as well as providing links to relevant documents and sources. Some of the data have been published previously by NHS Digital. A data visualisation tool (link provided within the key facts) allows users to select obesity related hospital admissions data for any Local Authority (as contained in the data tables), along with time series data from 2013/14. Regional and national comparisons are also provided. The report includes information on: Obesity related hospital admissions, including obesity related bariatric surgery. Obesity prevalence. Physical activity levels. Walking and cycling rates. Prescriptions items for the treatment of obesity. Perception of weight and weight management. Food and drink purchases and expenditure. Fruit and vegetable consumption. Key facts cover the latest year of data available: Hospital admissions: 2018/19 Adult obesity: 2018 Childhood obesity: 2018/19 Adult physical activity: 12 months to November 2019 Children and young people's physical activity: 2018/19 academic year

A class of discrete-time models of infectious disease spread, referred to as individual-level models (ILMs), are typically fitted in a Bayesian Markov chain Monte Carlo (MCMC) framework. These models quantify probabilistic outcomes regarding the risk of infection of susceptible individuals due to various susceptibility and transmissibility factors, including their spatial distance from infectious individuals. The infectious pressure from infected individuals exerted on susceptible individuals is intrinsic to these ILMs. Unfortunately, quantifying this infectious pressure for data sets containing many individuals can be computationally burdensome, leading to a time-consuming likelihood calculation and, thus, computationally prohibitive MCMC-based analysis. This problem worsens when using data augmentation to allow for uncertainty in infection times. In this paper, we develop sampling methods that can be used to calculate a fast, approximate likelihood when fitting such disease models. A simple random sampling approach is initially considered followed by various spatially-stratified schemes. We test and compare the performance of our methods with both simulated data and data from the 2001 foot-and-mouth disease (FMD) epidemic in the U.K. Our results indicate that substantial computation savings can be obtained—albeit, of course, with some information loss—suggesting that such techniques may be of use in the analysis of very large epidemic data sets.

This publication provides statistics on the number of unique NHS numbers with an associated national data opt-out. The national data opt-out was introduced on 25 May 2018. It was introduced following recommendations from the National Data Guardian. It indicates that a patient does not want their confidential patient information to be shared for purposes beyond their individual care across the health and care system in England. The service allows individuals to set a national data opt-out or reverse a previously set opt-out. It replaced the previous type 2 opt-outs which patients registered via their GP Practice. Previous type 2 opt-outs have been converted to national data opt-outs each month, until November 2018. This is why the monthly increase in opt-outs decreases from December 2018 onward. This publication includes the number of people who have a national data opt-out, broken down by age, gender and a variety of geographical breakdowns. From June 2020 the methodology for reporting NDOP changed, representing a break in time series. Therefore, caution should be used when comparing data to publications prior to June 2020. The number of deceased people with an active NDOP has been captured and reported for the first time in June 2020. Please note that this publication is no longer released monthly. It is released annually or when the national opt-out rate changes by more than 0.1 per cent. Prior to September 2020 there is a slight inflation of less than 0.05 percent in the number of National Data Opt-outs. This is due to an issue with the data processing, which has been resolved and does not affect data after September 2020. This issue does not disproportionately affect any single breakdown, including geographies. Please take this into consideration when using the data. As of January 2023, index of multiple deprivation (IMD) data has been added to the publication, allowing the total number of opt-outs to be grouped by IMD decile. This data has been included as a new CSV, and has also been added to a new table in the summary file. IMD measures relative deprivation in small areas in England, with decile 1 representing the most deprived areas, and decile 10 representing least deprived. Please note that the figures reported in IMD decile tables will not add up to the national totals. This is because the IMD-LSOA mapping reference data was created in 2019, and any geography codes added since then will not be mapped to an IMD decile. For more information about the reference data used, please view this report: https://www.gov.uk/government/statistics/english-indices-of-deprivation-2019 Management information describes aggregate information collated and used in the normal course of business to inform operational delivery, policy development or the management of organisational performance. It is usually based on administrative data but can also be a product of survey data. We publish these management information to ensure equality of access and provide wider public value.

Under the Freedom of Information Act 2000, I request the following information: The number of individuals of all ages who were prescribed contraceptives in the financial years 2019-2020, 2021-2020, 2020-2021, 2021-2022 and 2022-2023 in community settings (GP surgeries and pharmacies) broken down by contraceptive method. I would also like the proportion these represent of contraception users. For example, X proportion of those on contraception are using the Mirena coil. If possible, I would also appreciate if this were broken down by age of those prescriptions too. To clarify, I mean patients. I also mean both contraceptive drugs and appliances/devices Response A copy of the information is attached. Please read the following information to ensure correct understanding of the data. Fewer than five Please be aware that I have decided not to release the full details where the total number of individuals falls below five. This is because the individuals could be identified, when combined with other information that may be in the public domain or reasonably available. This information falls under the exemption in section 40 subsections 2 and 3 (a) of the Freedom of Information Act (FOIA). This is because it would breach the first data protection principle as: a - It is not fair to disclose individual’s personal details to the world and is likely to cause damage or distress. b - These details are not of sufficient interest to the public to warrant an intrusion into the privacy of the individual. Please click the weblink to see the exemption in full: www.legislation.gov.uk/ukpga/2000/36/section/40 NHS Business Services Authority (NHSBSA) - 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 one 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 (DHSC) users. Data Source: ePACT2 - Data in ePACT2 is sourced from the NHSBSA Data Warehouse and is derived from products prescribed on prescriptions and dispensed in the Community. The data captured from prescription processing is used to calculate reimbursement and remuneration. It includes items prescribed in England, Wales, Scotland, Northern Ireland, Guernsey/Alderney, Jersey, and Isle of Man which have been dispensed in the community in England. English prescribing that has been dispensed in Wales, Scotland, Guernsey/Alderney, Jersey, and Isle of Man is also included. 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. Dataset - The data is limited to presentations prescribed in BNF sections 0703 Contraceptives and BNF section 2104 Contraceptive Devices. Data is presented at BNF Sub Paragraph and BNF Presentation level. Time Period - Financial years 2019/20, 2020/21, 2021/22, 2022/23 and 2023/24 (April 2023 - January 2024). Data is currently available up to and including January 2024. Organisation Data - The data is for prescribing in England regardless of where dispensed in the community. British National Formulary (BNF) Sub Paragraph and Presentation Code – The BNF Code is a 15-digit code in which the first seven digits are allocated according to the categories in the BNF, and the last eight digits represent the medicinal product, form, strength and the link to the generic equivalent product. NHS Prescription Services has created pseudo BNF chapters, which are not published, for items not included in BNF chapters 1 to 15. Most of such items are dressings and appliances which NHS Prescription Services has classified into four pseudo BNF chapters (20 to 23). Patient Identification - Where patient identifiable figures have been reported they are based on the information captured during the prescription processing activities. Please note, patient details cannot be captured from every prescription form and based on the criteria used for this analysis, patient information (NHS number) was only available for 98.28% of prescription items. The unique patient count figures are based on a distinct count of NHS number as captured from the prescription image. Patient ages are based on the age as captured from the prescription image and relates to the patient's age at the time of prescribing/dispensing. Please note it is possible that a single patient may be included in the results for more than one age band where a patient has received prescribing at different ages during a financial year. The figures for the number of identifiable patients should not be combined and reported at any other level than provided as this may result in the double counting of patients. For example, a single patient could appear in the results for multiple presentations or both financial years. Patient Age - Shows the age of the patient, if recorded. Data Quality for patient age - NHSBSA stores information on the age of the recipient of each prescription as it was read by computer from images of paper prescriptions or as attached to messages sent through the electronic prescription system. The NHSBSA does not validate, verify or manually check the resulting information as part of the routine prescription processing. There are some data quality issues with the ages of patients prescribed the products. The NHSBSA holds prescription images for 18 months. A sample of the data was compared to the images of the paper prescription forms from which the data was generated where these images are still available. These checks revealed issues in the reliability of age data, in particular the quality of the stored age data was poor for patients recorded as aged two years and under. When considering the accuracy of age data, it is expected that a small number of prescriptions may be allocated against any given patient age incorrectly. Application of Disclosure Control to information services (prescriptions) products- ePACT 2 data is not published statistics - it is available to authorised NHS users who are subject to Caldicott Guardian approval. We have no plans to apply disclosure control to data released to ePACT 2 users. These users are under an obligation to protect the anonymity of any patients when reusing this data or releasing derived information publicly. All requests that fall under the FOI process are subject to the NHSBSA Anonymisation and Pseudonymisation Standard. The application of the techniques described in the standard is judged on a case-by-case basis (by NHSBSA Information Governance) in respect of what techniques should be applied. The ICO typically rules on a case-by-case basis too so each case or challenge or appeal is judged on its own merits. FOI rules apply to data that we hold as part of our normal course of business.

People Counts This data set is sourced from Dundee City Council’s Public Space Camera Surveillance System. It shows a count of people in 8 specified areas across Dundee. The data set shows a snapshot of people within these areas every Monday, Wednesday and Saturday during the period 1pm-2pm.This data is experimental and subject to further refinement. Please note that due the nature of CCTV cameras at times data may not be collected as specified above. Therefore, caution should be exercised when analysing data and drawing conclusions for this data set.CCTV datasets contain information on object detections taken from a selection of the CCTV cameras throughout Dundee City. CCTV images are translated into object counts, objects counted include ‘person’, ‘car’, ‘bicycle’, ‘bus’, ‘motorcycle', 'truck, ‘pickup truck 'and ‘van’. The data is generated and owned by Dundee City Council. Copyright © Dundee City Council 2022. This dataset is available for use under the Open Government Licence.Background information about the Dundee CCTV cameras including a map showing the location of the cameras is available on the Dundee City Council website and can be accessed using the following link:https://www.dundeecity.gov.uk/service-area/city-development/sustainable-transport-and-roads/dundees-public-space-camera-surveillance-system

Abstract copyright UK Data Service and data collection copyright owner.The Children’s People and Nature Survey (C-PaNS) provides information on how children and young people experience and think about the natural environment. Each year, the survey samples around 4,000 children and young people aged 8 -15 years across two survey waves, one in term time and one in holiday time.Waves 5 and 6 of the C-PaNS ran between the 16 and 23 August 2023 (during the school holidays) and 18 and 26 September 2023 (during term-time). Different versions of the C-PaNS are available from the UK Data Archive under Open Access (SN 9174) conditions, End User Licence (SN 9175), and Secure Access (SN 9176).The Secure Access version includes the same data as the End User Licence version, but includes more detailed variables including:age as a continuous variableincome (all categories)number of people living in household as a continuous variableethnicitydisabilityhome geography variables, including local authority district and urban/rural areaopen answers for thematic analysis in CS_Q14 and CS_Q15The Open Access version includes the same data as the End User Licence version, but does not include the following variables:age bandnumber of people living in household (Top coded to ‘6 and over’)access to private gardenincome (top coded to £50,000+)genderplaces withing walking distance from home Researchers are advised to review the Open Access and/or the End User Licence versions to determine if these are adequate prior to ordering the Secure Access version.Accredited official statistics are called National Statistics in the Statistics and Registration Service Act 2007. An explanation can be found on the Office for Statistics Regulation website.Natural England's statistical practice is regulated by the Office for Statistics Regulation (OSR). OSR sets the standards of trustworthiness, quality and value in the Code of Practice for Statistics that all producers of official statistics should adhere to. These accredited official statistics were independently reviewed by the Office for Statistics Regulation in January 2023. They comply with the standards of trustworthiness, quality and value in the Code of Practice for Statistics and should be labelled ‘accredited official statistics’.Users are welcome to contact Natural England directly at people_and_nature@naturalengland.org.uk with any comments about how they meet these standards. Alternatively, users can contact OSR by emailing regulation@statistics.gov.uk or via the OSR website.Since the latest review by the Office for Statistics Regulation, Natural England have continued to comply with the Code of Practice for Statistics, and have made the following improvements:Published a development plan with timetables for future work, which will be updated annuallyEnsured that users have opportunities to contribute to development planning through their biannual Research User GroupEnabled wider access to the data by publishing raw data sets through the UK Data ServiceProvided users with guidance on how statistics from their products can be compared with those produced in the devolved nationsPublished guidance on the differences between PaNS and MENEImproved estimates of the percentage of people visiting nature in the previous 14 days by reducing the amount of respondents answering ‘don’t know’.These data are available in Excel, SPSS, as well as Open Document Spreadsheet (ODS) formats. Main Topics: The Children's People and Nature Survey for England survey covers topics including: WellbeingTime spent outsideQuality of outdoor spacesOpportunities and barriers to spending time outsideEnvironmental concern and actionNature connectionCountryside code Quota sample Self-administered questionnaire: Computer-assisted (CASI)

Abstract copyright UK Data Service and data collection copyright owner.The Children’s People and Nature Survey (C-PaNS) provides information on how children and young people experience and think about the natural environment. Each year, the survey samples around 4,000 children and young people aged 8 -15 years across two survey waves, one in term time and one in holiday time.Waves 5 and 6 of the C-PaNS ran between the 16 and 23 August 2023 (during the school holidays) and 18 and 26 September 2023 (during term-time). Different versions of the C-PaNS are available from the UK Data Archive under Open Access (SN 9174) conditions, End User Licence (SN 9175), and Secure Access (SN 9176).The Secure Access version includes the same data as the End User Licence version, but includes more detailed variables including:age as a continuous variableincome (all categories)number of people living in household as a continuous variableethnicitydisabilityhome geography variables, including local authority district and urban/rural areaopen answers for thematic analysis in CS_Q14 and CS_Q15The Open Access version includes the same data as the End User Licence version, but does not include the following variables:age bandnumber of people living in household (Top coded to ‘6 and over’)access to private gardenincome (top coded to £50,000+)genderplaces withing walking distance from home Researchers are advised to review the Open Access and/or the End User Licence versions to determine if these are adequate prior to ordering the Secure Access version.Accredited official statistics are called National Statistics in the Statistics and Registration Service Act 2007. An explanation can be found on the Office for Statistics Regulation website.Natural England's statistical practice is regulated by the Office for Statistics Regulation (OSR). OSR sets the standards of trustworthiness, quality and value in the Code of Practice for Statistics that all producers of official statistics should adhere to. These accredited official statistics were independently reviewed by the Office for Statistics Regulation in January 2023. They comply with the standards of trustworthiness, quality and value in the Code of Practice for Statistics and should be labelled ‘accredited official statistics’.Users are welcome to contact Natural England directly at people_and_nature@naturalengland.org.uk with any comments about how they meet these standards. Alternatively, users can contact OSR by emailing regulation@statistics.gov.uk or via the OSR website.Since the latest review by the Office for Statistics Regulation, Natural England have continued to comply with the Code of Practice for Statistics, and have made the following improvements:Published a development plan with timetables for future work, which will be updated annuallyEnsured that users have opportunities to contribute to development planning through their biannual Research User GroupEnabled wider access to the data by publishing raw data sets through the UK Data ServiceProvided users with guidance on how statistics from their products can be compared with those produced in the devolved nationsPublished guidance on the differences between PaNS and MENEImproved estimates of the percentage of people visiting nature in the previous 14 days by reducing the amount of respondents answering ‘don’t know’.These data are available in Excel, SPSS, as well as Open Document Spreadsheet (ODS) formats. Main Topics: The Children's People and Nature Survey for England covers topics including: WellbeingTime spent outsideQuality of outdoor spacesOpportunities and barriers to spending time outsideEnvironmental concern and actionNature connectionCountryside code Quota sample Self-administered questionnaire: Computer-assisted (CASI)

According to the 2021 Census, 62.9% (37.5 million) of the overall population of England and Wales was of ‘working age’ (between 16 and 64 years old).

The number of LinkedIn users in the United Kingdom was forecast to continuously increase between 2024 and 2028 by in total 1.5 million users (+4.51 percent). After the eighth consecutive increasing year, the LinkedIn user base is estimated to reach 34.7 million users and therefore a new peak in 2028. User figures, shown here with regards to the platform LinkedIn, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).