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Health Survey for England, 2022
No full textAbstract copyright UK Data Service and data collection copyright owner.The Health Survey for England (HSE) is a series of surveys designed to monitor trends in the nation's health. It was commissioned by NHS Digital and carried out by the Joint Health Surveys Unit of the National Centre for Social Research and the Department of Epidemiology and Public Health at University College London.The aims of the HSE series are:to provide annual data about the nation’s health;to estimate the proportion of people in England with specified health conditions;to estimate the prevalence of certain risk factors associated with these conditions;to examine differences between population subgroups in their likelihood of having specific conditions or risk factors;to assess the frequency with which particular combinations of risk factors are found, and which groups these combinations most commonly occur;to monitor progress towards selected health targetssince 1995, to measure the height of children at different ages, replacing the National Study of Health and Growth;since 1995, monitor the prevalence of overweight and obesity in children.The survey includes a number of core questions every year but also focuses on different health issues at each wave. Topics are revisited at appropriate intervals in order to monitor change. Further information about the series may be found on the NHS Digital Health Survey for England; health, social care and lifestyles webpage, the NatCen Social Research NatCen Health Survey for England webpage and the University College London Health and Social Surveys Research Group UCL Health Survey for England webpage. Changes to the HSE from 2015:Users should note that from 2015 survey onwards, only the individual data file is available under standard End User Licence (EUL). The household data file is now only included in the Special Licence (SL) version, released from 2015 onwards. In addition, the SL individual file contains all the variables included in the HSE EUL dataset, plus others, including variables removed from the EUL version after the NHS England disclosure review. The SL HSE is subject to more restrictive access conditions than the EUL version (see Access information). Users are advised to obtain the EUL version to see if it meets their needs before considering an application for the SL version.COVID-19 and the HSE:Due to the COVID-19 pandemic, the HSE 2020 survey was stopped in March 2020 and never re-started. There was no publication that year. The survey resumed in 2021, albeit with an amended methodology. The full HSE resumed in 2022, with an extended fieldwork period. Due to this, the decision was taken not to progress with the 2023 survey, to maximise the 2022 survey response and enable more robust reporting of data. See the NHS Digital Health Survey for England - Health, social care and lifestyles webpage for more details.The 2022 HSE included additional detailed questions on fruit and vegetable consumption, perception of own weight and child’s weight, an eating disorder screener, and the Alcohol Use Disorders Identification Test (AUDIT). The survey also provided updates on repeated core topics, including general health, social care, long standing illness and smoking.Main Topics:Core topics General healthLongstanding illnessSmokingAverage weekly alcohol consumptionDrinking (heaviest day in last week)Consent to data linkage (NHS central register, HES)Socio-economic information: sex, age, income, education, employment etcPrescribed medications (health visit) Additional topics Doctor diagnosed hypertension and diabetesSocial care receipt and provisionFruit and vegetable consumptionPhysical activityEating disordersLoneliness Measurements Height and weightBlood pressure (health visit)Waist and hip circumference (health visit)Saliva sample (health visit)Urine sample (health visit)Blood sample for cholesterol, glycated haemoglobin (health visit)Blood sample for environmental chemical exposure (human biomonitoring)</ul
Quarterly Labour Force Survey, October - December, 2024
No full textAbstract copyright UK Data Service and data collection copyright owner.BackgroundThe 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 Annual Population Survey, also held at the UK Data Archive, is derived from the LFS.The LFS was first conducted biennially from 1973-1983, then annually between 1984 and 1991, comprising a quarterly survey conducted throughout the year and a 'boost' survey in the spring quarter. From 1992 it moved to a quarterly cycle with a sample size approximately equivalent to that of the previous annual data. Northern Ireland was also included in the survey from December 1994. Further information on the background to the QLFS may be found in the documentation.The UK Data Service also holds a Secure Access version of the QLFS (see below); household datasets; two-quarter and five-quarter longitudinal datasets; LFS datasets compiled for Eurostat; and some additional annual Northern Ireland datasets.LFS DocumentationThe 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 (the latest questionnaire available covers July-September 2022). Volumes are updated periodically, 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.LFS response to COVID-19From April 2020 to May 2022, additional non-calendar quarter LFS microdata were made available to cover the pandemic period. The first additional microdata to be released covered February to April 2020 and the final non-calendar dataset covered March-May 2022. Publication then returned to calendar quarters only. Within the additional non-calendar COVID-19 quarters, pseudonymised variables Casenop and Hserialp may contain a significant number of missing cases (set as -9). These variables may not be available in full for the additional COVID-19 datasets until the next standard calendar quarter is produced. The income weight variable, PIWT, is not available in the non-calendar quarters, although the person weight (PWT) is included. Please consult the documentation for full details.Occupation data for 2021 and 2022 data filesThe 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: Revision of miscoded occupational data in the ONS Labour Force Survey, UK: January 2021 to September 2022.2024 ReweightingIn February 2024, reweighted person-level data from July-September 2022 onwards were released. Up to July-September 2023, only the person weight was updated (PWT23); the income weight remains at 2022 (PIWT22). The 2023 income weight (PIWT23) was included from the October-December 2023 quarter. Users are encouraged to read the ONS methodological note of 5 February, Impact of reweighting on Labour Force Survey key indicators: 2024, which includes important information on the 2024 reweighting exercise.End User Licence and Secure Access QLFS dataTwo versions of the QLFS are available from UKDS. One is available under the standard End User Licence (EUL) agreement, and the other is a Secure Access version. The EUL version includes country and Government Office Region geography, 3-digit Standard Occupational Classification (SOC) and 3-digit industry group for main, second and last job (from July-September 2015, 4-digit industry class is available for main job only).The Secure Access version contains more detailed variables relating to:age: single year of age, year and month of birth, age completed full-time education and age obtained highest qualification, age of oldest dependent child and age of youngest dependent childfamily unit and household: including a number of variables concerning the number of dependent children in the family according to their ages, relationship to head of household and relationship to head of familynationality and country of originfiner detail geography: including county, unitary/local authority, place of work, Nomenclature of Territorial Units for Statistics 2 (NUTS2) and NUTS3 regions, and whether lives and works in same local authority district, and other categories;health: including main health problem, and current and past health problemseducation and apprenticeship: including numbers and subjects of various qualifications and variables concerning apprenticeshipsindustry: including industry, industry class and industry group for main, second and last job, and industry made redundant fromoccupation: including 5-digit industry subclass and 4-digit SOC for main, second and last job and job made redundant fromsystem variables: including week number when interview took place and number of households at addressother additional detailed variables may also be included.The Secure Access datasets (SNs 6727 and 7674) have more restrictive access conditions than those made available under the standard EUL. Prospective users will need to gain ONS Accredited Researcher status, complete an extra application form and demonstrate to the data owners exactly why they need access to the additional variables. Users are strongly advised to first obtain the standard EUL version of the data to see if they are sufficient for their research requirements.Latest edition informationFor the second edition (May 2025), the variables DIFFHRS20 and YLESS20 were replaced with new versions, with previously missing imputed values for 'IOUTCOME=6' cases added.Main Topics:The QLFS questionnaire comprises a 'core' of questions which are included in every survey, together with some 'non-core' questions which vary from quarter to quarter.The questionnaire can be split into two main parts. The first part contains questions on the respondent's household, family structure, basic housing information and demographic details of household members. The second part contains questions covering economic activity, education and health, and also may include a few questions asked on behalf of other government departments (for example the Department for Work and Pensions and the Home Office). Until 1997, the questions on health covered mainly problems which affected the respondent's work. From that quarter onwards, the questions cover all health problems. Detailed questions on income have also been included in each quarter since 1993. The basic questionnaire is revised each year, and a new version published, along with a transitional version that details changes from the previous year's questionnaire.</div
The Irish Survey of Student Engagement (ISSE), 2014
No full textThe central aim of Irish Survey of Student Engagement (ISSE) is to develop a valuable source of information about students’ experiences of higher education in Ireland. The results of the survey are intended primarily to add value at institutional level, and to inform national policy. A detailed online survey was offered to first year undergraduates, final year undergraduates and postgraduate students on taught programmes. Data are presented as responses to individual items and as calculated scores for eleven indices that relate to broad aspects of student engagement, such as Active Learning and Higher Order Thinking. The survey is the first national survey of students in Ireland and the first system-wide survey of its kind in Europe. The ISSE has formative links with the US National Survey of Student Engagement (NSSE) and the Australasian Survey of Student Engagement (AUSSE). Thus, Irish data can be evaluated in the context of other jurisdictions in addition to the national or sector contexts. Student engagement may be defined as students’ involvement in activities and environments that are likely to generate high-quality learning. Students are ultimately responsible for their own learning but this depends on institutions and staff creating an environment that encourages and promotes student involvement in educationally-relevant activities. Student engagement with higher education is seen as being enhanced through exposing students to a high quality learning environment. Measuring engagement can provide a means to develop a fuller understanding of the student experience above and beyond that ascertained through surveys of student satisfaction alone. More than 19, 800 students from thirty institutions responded to the survey which was undertaken in February – March 2014. Following a national pilot in 2013, this dataset represents the first result of fieldwork in 2014
The Intellectual Disability Supplement to the Irish Longitudinal Study on Ageing (IDS-TILDA) Wave 5, 2023
No full textThe Intellectual Disability Supplement to the Irish Longitudinal Study on Ageing (IDS-TILDA) is a longitudinal study researching ageing in Ireland among people with an intellectual disability aged 40 and over. This study is the first of its kind in Europe, and the only study able to directly compare the ageing of people with an intellectual disability with the general ageing population. The underpinning values of IDS-TILDA are inclusion, choice, empowerment, person centred, the promotion of people with intellectual disability, the promotion of best practice and to contribute to the lives of people with intellectual disability. The objectives of IDS-TILDA are: To understand the health characteristics of people ageing with an intellectual disability; To examine the service needs and health service utilization of people ageing with an intellectual disability; To identify disparities in the health status of adults with an intellectual disability as compared to TILDA findings for the general population; and To support evidence-informed policies, practices and evaluation. IDS-TILDA completed its fifth Wave of data collection in 2023. A total of 762 participants completed the Computer Assisted Personal Interview (CAPI) at Wave 5, consisting of 621 participants who had previously taken part in Wave 4 and 141 newly recruited participants
Quarterly National Household Survey (QNHS) Module on Life Long Learning, Q2 2003
No full textThe Quarterly National Household Survey (QNHS) began in September 1997 and ran until Q2 2017 when it was replaced by the Labour Force Survey (LFS). While the main purpose of the QNHS was the production of quarterly labour force estimates, the QHNS also conducted special modules on different social topics each quarter. This special module was on lifelong learning. Please note that due to CSO restrictions, these files cannot be matched to their associated microdata file
Labour Force Survey (LFS), 2024
No full textThe Labour Force Survey (LFS) is a large-scale, nationwide survey of households in Ireland conducted by the Central Statistics Office. It is designed to produce quarterly labour force estimates that include the official measure of employment and unemployment in the state (ILO basis). This survey replaced the Quarterly National Household Survey (QNHS) from Q3 2017. The QNHS began in September 1997, replacing the annual April Labour Force Survey (LFS). Each quarter the LFS produces data among others on: Numbers unemployed Persons in employment Labour force participation rates Inactive population (not in the labour force) Sectoral breakdown (Nace Rev. 2) of those in employment Breakdown of headline data by age, sex and region Persons in employment classified by occupation Seasonally adjusted headline series Data on family composition New Regulatory framework from January 2021 The survey meets the requirements of Regulation (EU) 2019/1700 of the European Parliament and of the Council of 10 October 2019. This is a new framework regulation governing the production of European Statistics on persons and households (Integration European Social Statistics framework regulation – IESS FR) which came into force on 1 January 2021. The IESS FR regulation replaces Council Regulation (EC) No. 577/98, adopted in March 1998 and covers various domains of social statistics including labour market statistics. It aims to ensure that social statistics based on sample surveys such as the Labour Force Survey (LFS), are produced in a more harmonised and coordinated manner across Europe
Labour Force Survey (LFS), 2012
No full textThe Labour Force Survey (LFS) is a large-scale, nationwide survey of households in Ireland conducted by the Central Statistics Office. It is designed to produce quarterly labour force estimates that include the official measure of employment and unemployment in the state (ILO basis). This survey replaced the Quarterly National Household Survey (QNHS) from Q3 2017. The QNHS began in September 1997, replacing the annual April Labour Force Survey (LFS). Each quarter the LFS produces data among others on: Numbers unemployed Persons in employment Labour force participation rates Inactive population (not in the labour force) Sectoral breakdown (Nace Rev. 2) of those in employment Breakdown of headline data by age, sex and region Persons in employment classified by occupation Seasonally adjusted headline series Data on family compositio
The Intellectual Disability Supplement to the Irish Longitudinal Study on Ageing (IDS-TILDA) Wave 4, Covid-19 Phase 1 data, 2020
No full textThe Intellectual Disability Supplement to the Irish Longitudinal Study on Ageing (IDS-TILDA) is a longitudinal study researching ageing in Ireland among people with an intellectual disability aged 40 and over. This study is the first of its kind in Europe, and the only study able to directly compare the ageing of people with an intellectual disability with the general ageing population. The underpinning values of IDS-TILDA are inclusion, choice, empowerment, person centred, the promotion of people with intellectual disability, the promotion of best practice and to contribute to the lives of people with intellectual disability. The objectives of IDS-TILDA are: to understand the health characteristics of people ageing with an intellectual disability; to examine the service needs and health service utilization of people ageing with an intellectual disability; to identify disparities in the health status of adults with an intellectual disability as compared to The Irish Longitudinal Study on Ageing’s (TILDA) findings for the general population; and to support evidence-informed policies, practices and evaluation Given the emerging scale and seriousness of the COVID-19 crisis, and the lack of knowledge at that time about its potential impact among people with intellectual disability, there was an urgency to disseminate knowledge about how the virus and its associated public health measures was impacting people with an intellectual disability in Ireland. The first IDS-TILDA COVID-19 survey was developed to assess rates of symptoms and testing, morbidity and treatment, stress and anxiety associated with the pandemic, and any positive outcomes experienced by individuals during the lockdown period. Data were collected between May and September 2020, when Ireland experienced its first wave of infection and first lockdown measures. These data were supplemented with health data from the main IDS-TILDA study, to explore associations with disease morbidity and other health and well-being outcomes, to consider potential predictors of symptoms and COVID positivity and of differences in people’s lives, before and during COVID-19 restrictions
Quarterly National Household Survey (QNHS) Module on Health, Q3 2010
No full textThe Quarterly National Household Survey (QNHS) began in September 1997 and ran until Q2 2017 when it was replaced by the Labour Force Survey (LFS). While the main purpose of the QNHS was the production of quarterly labour force estimates, the QHNS also conducted special modules on different social topics each quarter. The questions on health status and utilisation of the health service were included in the Quarterly National Household Survey (QNHS) in the three months from June to August 2010. This was an update of previous health modules asked during the same period in 2001 and 2007. Please note that due to CSO restrictions, these files cannot be matched to their associated microdata files
Children’s Profile at School Entry (CPSE) collection 2008 – 2015
No full textThe Children’s Profile at School Entry (CPSE) study was conducted between 2008 and 2015 as part of the wider Preparing for Life evaluation by the UCD Geary Institute at University College Dublin, Ireland. The Preparing for Life (PFL) intervention was developed by the Northside Partnership as a five year school readiness intervention, starting in pregnancy and lasting until the child started school. The CPSE study took place in parallel to the PFL evaluation, and provided an annual, representative survey of the levels of school readiness of all Junior Infant children in the PFL catchment area – both those participating in PFL intervention and the general population not participating in PFL. The annual survey (1) indicated the general level of school readiness of children attending schools in the PFL catchment area, (2) indicated whether the PFL programme was generating positive externalities, and (3) served as a baseline measure of school readiness for the PFL cohort. The CPSE study was undertaken by the PFL evaluation team at UCD Geary Institute. A cross-sectional design was developed to collect information via surveys which were completed by (1) the primary school teacher and (2) the primary caregiver of each Junior Infant child. Data were collected at the start of each school year, for eight years between 2008 and 2015. Pupil school readiness was assessed in both the teacher and caregiver surveys using the Short Early Development Instrument (S-EDI; Janus & Offord, 2000), and using a series of measures that were constructed by the PFL evaluation team. Teachers were also asked a series of demographic questions including their age, professional qualifications, how long they had been teaching in general. Caregivers were asked socio-demographic information, along with standardised measures of mental well-being and parenting