Understanding Society, the UK Household Longitudinal Study, is a longitudinal survey of the members of approximately 40,000 households (at Wave 1) in the United Kingdom. The overall purpose of Understanding Society is to provide high quality longitudinal data about subjects such as health, work, education, income, family, and social life to help understand the long term effects of social and economic change, as well as policy interventions designed to impact upon the general well-being of the UK population. The Understanding Society main survey sample consists of a large General Population Sample plus three other components: the Ethnic Minority Boost Sample, the former British Household Panel Survey sample and the Immigrant and Ethnic Minority Boost Sample.

Understanding Society (the 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.

For details of the main Understanding Society study, please see study number 6614.

Innovation Panel

The Innovation Panel is designed for experimental and methodological research relevant to longitudinal surveys. As far as practical its design, content, and data collection procedures are similar to the main stage Understanding Society survey. It is a multi-topic household survey representative of the population of Great Britain. Data collection takes place annually using computer assisted personal interviewing (CAPI), web surveys and telephone interviewing (CATI) to a small extent. One person completes the household questionnaire. Each person aged 16 or older answers the individual adult interview, including and self-completion questionnaire. Young people aged 10 to 15 years are asked to respond to a paper self-completion questionnaire. The Innovation Panel has multiple experimental studies in which households or individuals are randomly assigned to a particular instrument or survey procedure. Experiments can relate to survey procedures, questionnaire design, or substantive social science questions. The experiments are described in the User Manual and in Understanding Society Working Papers. Wave 12 included an experiment involving the collection of biomeasures by nurses, interviewers and respondents themselves. The biomeasures included in the experiment were: height, weight, blood pressure, venous and dried blood samples and hair samples. Biomarkers have been derived from the different blood and hair samples to compare analytes across sample types. Due to COVID-19 Waves 13 and 14 were implemented using computer assisted telephone interviewing (CATI) and web surveys. Wave 15 included additional data on body measurements. Respondents were asked to install the BodyVolume app on their smartphone or tablet (iOS or Android) and use it after the interview to take two photos of themselves. The app used the body outlines along with profile information that the respondent entered in the app (age, sex, height, weight, level of activity) to calculate measures including waist and hip circumference, total body fat, visceral body fat, and lengths of different body parts. Wave 16 included an experiment asking parents of children aged under 16 to supply health related information from the child’s red book. Respondents were also asked to install the Sea Hero Quest app and play a game that measures spatial cognition.

There are two primary versions of the Innovation Panel data. One is available under the standard End User Licence (EUL) agreement, and the other is a Special Licence (SL) version (available under SN 7083). The SL version contains month and year of birth variables in addition to age, county variables, more detailed country and occupation coding for a number of variables; and various income variables have not been top-coded (see the documentation available with the SL version for more detail on the differences). In addition, there are a number of SL geographical datasets that are designed to be used in conjunction with the primary datasets. Low- and Medium-level geographical identifiers are also available subject to SL access conditions and fine detail geographic data are available under more restrictive Secure Access conditions that contains British National Grid postcode grid references (at 1m resolution) for the unit postcode of each household surveyed.

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.

Latest edition information

For the 13th edition (November 2024), Wave 16 has been deposited with accompanying documentation. All previous waves have also been redeposited with various corrections - see '7083_ip_waves_1-15_changes_collated.pdf' for details of the changes.

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.

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.

This release combines fourteen waves of Understanding Society data with harmonised data from all eighteen waves of the BHPS. As multi-topic studies, the purpose of Understanding Society and BHPS is to understand 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 are also interviewed as long as they are living with them. The study has five sample components: the general population sample; a boost sample of ethnic minority group members; an immigrant and ethnic minority boost sample (from wave 6); participants from the BHPS; and a second general population boost sample added at this wave. In addition, there is the Understanding Society Innovation Panel (which is a separate standalone survey (see SN 6849)). The fieldwork period is for 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 the 2nd year of wave 11), due to the coronavirus pandemic, face-to-face interviews were suspended, and the survey was conducted by web and telephone only, but otherwise has continued as before. Face-to-face interviewing was resumed from April 2022. One person completes the household questionnaire. Each person aged 16 is invited to complete the individual adult interview and self-completed questionnaire. Parents are asked questions about their children under 10 years old. Youths aged 10 to 15 are asked to respond to a self-completion questionnaire. For the general and BHPS samples biomarker, genetic and epigenetic data are also available. The biomarker data, and summary genetics and epigenetic scores, are available via UKDS (see SN 7251); detailed genetics and epigenetics data are available by application (see below). In 2020-21 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). Participants are asked consent to link their data to wide-ranging administrative data sets (see below).

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, Special Licence and Secure Access versions:

There are three versions of the main Understanding Society data with different access conditions. One is available under the standard End User Licence (EUL) agreement (this study), one is a Special Licence (SL) version (SN 6931) and the third is a Secure Access version (SN 6676). The SL version contains month as well as year of birth variables, more detailed country and occupation coding for a number of variables, various income variables that have not been top-coded, and other potentially sensitive variables (see 6931_eul_vs_sl_variable_differences document available with the SL version for full details of the differences). The Secure Access version, in addition to containing all the variables in the SL version, also contains day of birth as well as Grid Reference geographical variables. 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 and Secure Access versions of the data have more restrictive access conditions and prospective users of those versions should visit the catalogue entries for SN 6931 and SN 6676 respectively for further information.

Low- and Medium-level geographical identifiers are also available subject to SL access conditions; see SNs 6666, 6668-6675, 7453-4, 7629-30, 7245, 7248-9 and 9169-9170. Schools data are available subject to SL access conditions in SN 7182. Higher Education establishments for Wave 5 are available subject to SL access conditions in SN 8578. Interviewer Characteristics data, also subject to SL access conditions is available in SN 8579. In addition, a fine detail geographic dataset (SN 6676) is available under more restrictive Secure Access conditions that contains National Grid postcode grid references (at 1m resolution) for the unit postcode of each household surveyed, derived from ONS Postcode Directories (ONSPD). For details on how to make an application for Secure Access dataset, please see the SN 6676 catalogue record.

How to access genetic and/or bio-medical sample data from Understanding Society:

Information on how to access genetics and epigenetics data directly from the study team is available on the Understanding Society Accessing data webpage.

Linked administrative data

Linked Understanding Society / administrative data are available on a number of different platforms. See the Understanding Society Data linkage webpage for details of those currently available and how they can be accessed.

Latest edition information

For the 19th edition (November 2024) Wave 14 data has been added. Other minor changes and corrections have also been made to Waves 1-13. Please refer to the revisions document for full details.

m_hhresp and n_hhresp files updated, December 2024

In the previous release (19th edition, November 2024), there was an issue with household income estimates in m_hhresp and n_hhresp where a household resides in a new local authority (approx. 300 households in wave 14). The issue has been corrected and imputation models re-estimated and imputed values updated for the full sample. Imputed values will therefore change compared to the versions in the original release. The variable affected is n_ctband_dv.

Suitable data analysis software

These data are provided by the depositor in Stata format. Users are strongly advised to analyse them in Stata. Transfer to other formats may result in unforeseen issues. Stata SE or MP software is needed to analyse the larger files, which contain over 2,047 variables.

This dataset identifies areas where the addition of new ponds would benefit Great Crested Newt populations. The core areas contain a pond density of 2+ ponds and are located within a 1km square where great crested newt presence has been predicted. Fringe areas contain a pond density of 1 and are located within a 1km square where great crested newt presence has been predicted or are within a 250m of a Core Area. Higher scores are associated with darker colouration and represent a greater presence of suitable habitat features: grassland density 10 - 50% woodland density 10 - 60% Distance from rivers <1500m Shannon Weaver Diversity -1.5 to -0.6 These suitable habitat features have been given a score of ‘1’. Arable land (density 50 - 100%) has been given a score of ‘-1’. Urban areas greater than 2ha (+400m buffer), roads (7.5m), rivers (7.5m) and Environment Agency Flood Zone 2 have been excluded. Attribution statement: © Natural England, 2022 Based upon LCM2015 © NERC (CEH) 2011. Contains Ordnance Survey data © Crown Copyright 2007. Based upon LCM2015 © NERC (CEH) 2017. Contains Ordnance Survey data © Crown Copyright 2007, Licence number 100017572. Soils Data © Cranfield University (NSRI) and for the Controller of HMSO 2019. Based upon LCM2007 © NERC (CEH) 2011. Contains Ordnance Survey data © Crown Copyright 2007. © third party licensors. Contains, or is derived from, information supplied by the Ordnance Survey and Rural Payments Agency. © Crown copyright and database rights 2019. © Freshwater Habitats Trust, PondNet monitoring scheme, 2018 © Essex Recorders partnership, 2018 Contains data supplied by: Essex County Council © Essex County Council 2019 Ordnance Survey 100019602; Basildon Borough Council © Basildon Borough Council 2019 Ordnance Survey 100018871; Braintree District Council © Braintree District Council 2019, Ordnance Survey 100018490; Brentwood Borough Council © Brentwood Borough council 2019; Castle Point Borough Council © Castle Point Borough Council 2019; Chelmsford City Council © Chelmsford City Council 2019, Ordnance Survey 100023562; Colchester Borough Council © Colchester Borough Council 2019, Ordnance Survey 100023706; Epping Forest District Council © Epping Forest District Council 2019, Ordnance Survey 100018534; Harlow Council © Harlow Council 2019, Ordnance Survey 100019627; Maldon District Council © Maldon District Council 2019, Ordnance Survey 100018599; Rochford District Council © Rochford District Council 2019, Ordnance Survey 100018109; Tendring District Council © Tendring District Council 2019, Ordnance Survey 100018684; Thurrock Council © Thurrock Council 2019, Ordnance Survey 100025457; Uttlesford District Council © Uttlesford District Council 2019, Ordnance Survey 100018688. © Environment Agency copyright and/or database right 2018. All rights reserved. Some features of this map are based on digital spatial data from the Centre for Ecology & Hydrology, © NERC (CEH). © Crown copyright and database rights 2018 Ordnance Survey 100024198. Contains, or is derived from, information supplied by Ordnance Survey. © Crown copyright and database rights 2020 Ordnance Survey 100022021. Contains Ordnance Survey data © Crown copyright and database right, 2020

Digital data from VG12-3, Gale, M., Kim. J., and Ruksznis, A., 2012, Bedrock Geologic Map of the essex Junction Quadrangle: Vermont Geological Survey Open File Report VG12-3, scale 1:24,000. Bedrock geologic map data at a scale of 1:24,000 depicts types of bedrock underlying unconsolidated materials in Vermont. Data is created by mapping on the ground using standard geologic pace and compass techniques and/or GPS on a USGS 1:24000 topographic base map. Data may be organized by town, quadrangle or watershed. Each data bundle may include point, line and polygon data and some or all of the following: 1) contacts (lithogic contacts), 2) fault_brittle, 3) fault_ductile, 4) fault_thrust, 5) fault_bed_plane (bedding plane thrust), 6) bedding, 7) bedding_graded (graded bedding) 8) bedding_overturn (overturned bedding), 9) bedding_select (selected points for published map), 10) foliation_n1, n2, n3 etc (foliation data), 11) outcrop (exposed outcrops), 12) field_station (outcrop and data collection point), 13) fold_axis, 14) axial_plane, 15) lamprophyre, 16) water_well_log (water well driller information), 16) linear_int (intersection lineation), 17) linear_str (stretching lineation) 18) x_section_line (line of cross-section), and photolinear (lineaments identified from air photos). Other feature classes may be included with each data bundle. (https://dec.vermont.gov/geological-survey/publication-gis/ofr).

About this dataset

Context

The dataset tabulates the Lewis town population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Lewis town. The dataset can be utilized to understand the population distribution of Lewis town by age. For example, using this dataset, we can identify the largest age group in Lewis town.

Key observations

The largest age group in Lewis Town, Essex County, New York was for the group of age 55-59 years with a population of 134 (12.03%), according to the 2021 American Community Survey. At the same time, the smallest age group in Lewis Town, Essex County, New York was the 85+ years with a population of 1 (0.09%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Lewis town is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Lewis town total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Lewis town Population by Age. You can refer the same here

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.

For details of the main Understanding Society study, please see study number 6614.

Innovation Panel

The Innovation Panel is designed for experimental and methodological research relevant to longitudinal surveys. As far as practical its design, content, and data collection procedures are similar to the main stage Understanding Society survey. It is a multi-topic household survey representative of the population of Great Britain. Data collection takes place annually using computer assisted personal interviewing (CAPI), web surveys and telephone interviewing (CATI) to a small extent. One person completes the household questionnaire. Each person aged 16 or older answers the individual adult interview, including and self-completion questionnaire. Young people aged 10 to 15 years are asked to respond to a paper self-completion questionnaire. The Innovation Panel has multiple experimental studies in which households or individuals are randomly assigned to a particular instrument or survey procedure. Experiments can relate to survey procedures, questionnaire design, or substantive social science questions. The experiments are described in the User Manual and in Understanding Society Working Papers. Wave 12 included an experiment involving the collection of biomeasures by nurses, interviewers and respondents themselves. The biomeasures included in the experiment were: height, weight, blood pressure, venous and dried blood samples and hair samples. Biomarkers have been derived from the different blood and hair samples to compare analytes across sample types. Due to COVID-19 Waves 13 and 14 were implemented using computer assisted telephone interviewing (CATI) and web surveys. Wave 15 included additional data on body measurements. Respondents were asked to install the BodyVolume app on their smartphone or tablet (iOS or Android) and use it after the interview to take two photos of themselves. The app used the body outlines along with profile information that the respondent entered in the app (age, sex, height, weight, level of activity) to calculate measures including waist and hip circumference, total body fat, visceral body fat, and lengths of different body parts. Wave 16 included an experiment asking parents of children aged under 16 to supply health related information from the child’s red book. Respondents were also asked to install the Sea Hero Quest app and play a game that measures spatial cognition.

There are two primary versions of the Innovation Panel data. One is available under the standard End User Licence (EUL) agreement, and the other is a Special Licence (SL) version (available under SN 7083). The SL version contains month and year of birth variables in addition to age, county variables, more detailed country and occupation coding for a number of variables; and various income variables have not been top-coded (see the documentation available with the SL version for more detail on the differences). In addition, there are a number of SL geographical datasets that are designed to be used in conjunction with the primary datasets. Low- and Medium-level geographical identifiers are also available subject to SL access conditions and fine detail geographic data are available under more restrictive Secure Access conditions that contains British National Grid postcode grid references (at 1m resolution) for the unit postcode of each household surveyed.

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.

Latest edition information

For the 13th edition (November 2024), Wave 16 has been deposited with accompanying documentation. All previous waves have also been redeposited with various corrections - see '6849_ip_waves_1-15_changes_collated.pdf' for details of the changes.

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.

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 Kantar Public and NatCen. It builds on and incorporates, the British Household Panel Survey (BHPS), which began in 1991. This release combines thirteen waves of Understanding Society data with harmonised data from all eighteen waves of the BHPS. As multi-topic studies, the purpose of Understanding Society and BHPS 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 study has five sample components: the general population sample; a boost sample of ethnic minority group members; an immigrant and ethnic minority boost sample (from wave 6); participants from the BHPS; and the Innovation Panel (which is a separate standalone survey (see SN 6849). The fieldwork period is for 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. Face-to-face interviewing was resumed from April 2022. 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 self-completion questionnaire. For the general and BHPS samples biomarker, genetic and epigenetic data are also available. The biomarker data, and summary genetics and epigenetic scores, are available via UKDS (see SN 7251); detailed genetics and epigenetics data are available by application (see below). 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). 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. End User Licence, Special Licence and Secure Access versions:There are two versions of the main Understanding Society 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 additional month of birth variables, more detailed country and occupation coding for a number of variables and various income variables have not been top-coded (see the documentation available with the SL version or the Understanding Society website for more detail on these and other differences). 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 SL versions of the main Understanding Society and Innovation Panel studies may be found under SNs 6931 and 7083 respectively. Low- and Medium-level geographical identifiers are also available subject to SL access conditions; see SNs 6666, 6668-6675, 7453-4, 7629-30, 7245, 7248-9 and 9169-9170 (mainstage study) and 6908-6916, 7339, 7637-41, 9157 and 9159 (Innovation Panel). Schools data are available subject to SL access conditions in SN 7182. Higher Education establishments for Wave 5 are available subject to SL access conditions in SN 8578. Interviewer Characteristics data, also subject to SL access conditions is available in SN 8579. In addition, a fine detail geographic dataset (SN 6676) is available under more restrictive Secure Access conditions that contains British National Grid postcode grid references (at 1m resolution) for the unit postcode of each household surveyed, derived from the ONS National Statistics Postcode Directory (NSPD). For details on how to make an application for Secure Access dataset, please see the SN 6676 catalogue record. How to access genetic and/or bio-medical sample data : Information on how to access genetics and epigenetics data, directly from the study team, is available on the website: https://www.understandingsociety.ac.uk/documentation/health-assessment/accessing-data/genetics-application. Latest edition information For the 18th edition (November 2023), Wave 13 data and documentation have been added. Other minor changes and corrections have also been made to Waves 1-12. Please refer to the revisions document for full details. Suitable data analysis software These data are provided by the depositor in Stata format. Users are strongly advised to analyse them in Stata. Transfer to other formats may result in unforeseen issues. Stata SE or MP software is needed to analyse the larger files, which contain over 2,047 variables.

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, 2022, is designed for analysts to conduct cross-sectional analysis for the 2022 calendar year. The Calendar Year datasets combine data collected in a specific year from across multiple waves and these are released as separate calendar year studies, with appropriate analysis weights, starting with the 2020 Calendar Year dataset. Each subsequent year, an additional yearly study is released.

The Calendar Year data is designed to enable timely cross-sectional analysis of individuals and households in a calendar year. Such analysis can, however, only involve variables that are collected in every wave (excluding rotating content, which is only collected in some of the waves). Due to overlapping fieldwork, the data files combine data collected in the three waves that make up a calendar year. Analysis cannot be restricted to data collected in one wave during a calendar year, as this subset will not be representative of the population. Further details and guidance on this study can be found in the document 9333_main_survey_calendar_year_user_guide_2022.

These calendar year datasets should be used for cross-sectional analysis only. For those interested in longitudinal analyses using Understanding Society please access the main survey datasets: End User Licence version or Special Licence version.

Understanding Society: the UK Household Longitudinal Study, started in 2009 with a general population sample (GPS) of UK residents living in private households of around 26,000 households and an ethnic minority boost sample (EMBS) of 4,000 households. All members of these responding households and their descendants became part of the core sample who were eligible to be interviewed every year. Anyone who joined these households after this initial wave was also interviewed as long as they lived with these core sample members to provide the household context. At each annual interview, some basic demographic information was collected about every household member, information about the household is collected from one household member, all 16+-year-old household members are eligible for adult interviews, 10-15-year-old household members are eligible for youth interviews, and some information is collected about 0-9 year-olds from their parents or guardians. Since 1991 until 2008/9 a similar survey, the British Household Panel Survey (BHPS), was fielded. The surviving members of this survey sample were incorporated into Understanding Society in 2010. In 2015, an immigrant and ethnic minority boost sample (IEMBS) of around 2,500 households was added. In 2022, a GPS boost sample (GPS2) of around 5,700 households was added. To know more about the sample design, following rules, interview modes, incentives, consent, and questionnaire content, please see the study overview and user guide.

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 2022 data. One is available under the standard End User Licence (EUL) agreement (SN 9333), and the other is a Special Licence (SL) version (SN 9334). 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 document 9333_eul_vs_sl_variable_differences for more details). Users are advised first to 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 2022 dataset, subject to SL access conditions. See the User Guide for further details.

Suitable data analysis software

These data are provided by the depositor in Stata format. Users are strongly advised to analyse them in Stata. Transfer to other formats may result in unforeseen issues. Stata SE or MP software is needed to analyse the larger files, which contain about 1,800 variables.

Dette datasæt identificerer områder, hvor tilføjelsen af nye damme vil være til gavn for populationerne af Great Crested Newt. De centrale områder indeholder en dam tæthed på 2 + damme og er placeret inden for en 1 km firkant, hvor stor crested newt tilstedeværelse er blevet forudsagt. Fringe områder indeholder en dam tæthed på 1 og er placeret inden for en 1 km firkant, hvor stor crested newt tilstedeværelse er blevet forudsagt eller er inden for en 250m af et kerneområde.

Højere scorer er forbundet med mørkere farve og repræsenterer en større tilstedeværelse af egnede habitatfunktioner:

græsningstæthed 10 - 50 % skovtæthed 10 - 60% Afstand fra floder <1500m Shannon Weaver Mangfoldighed -1,5 til -0,6 Disse egnede naturtyper har fået en score på "1".

Agerjord (tæthed 50-100 %) har fået en score på "-1". Byområder større end 2 ha (+ 400 m buffer), veje (7,5 m), floder (7,5 m) og Miljøagenturets oversvømmelseszone 2 er blevet udelukket. Attribution statement (tilskrivningserklæring): © Natural England, 2022 Baseret på LCM2015 © NERC (CEH) 2011. Indeholder Ordnance Survey data © Crown Copyright 2007. Baseret på LCM2015 © NERC (CEH) 2017. Indeholder Ordnance Survey data © Crown Copyright 2007, Licensnummer 100017572. Data om jordbunden © Cranfield University (NSRI) og for den dataansvarlige for HMSO 2019. Baseret på LCM2007 © NERC (CEH) 2011. Indeholder Ordnance Survey data © Crown Copyright 2007. © tredjeparts licensgivere. Indeholder eller er afledt af oplysninger fra Ordnance Survey and Rural Payments Agency. © Crown ophavsret og databaserettigheder 2019. © Freshwater Habitats Trust, PondNet overvågningsordning, 2018

© Essex Recorders partnerskab, 2018 Indeholder data leveret af: Essex County Council © Essex County Council 2019 Ordnance Survey 100019602; Basildon Borough Council © Basildon Borough Council 2019 Ordnance Survey 100018871; Braintree distriktsråd © Braintree distriktsråd 2019, Ordnance Survey 100018490;Brentwood Borough Council © Brentwood Borough Council 2019; Hoteller i nærheden af Castle Point Borough Council © Castle Point Borough Council 2019 Chelmsford byråd © Chelmsford byråd 2019, Ordnance Survey 100023562; Colchester Borough Council © Colchester Borough Council 2019, Ordnance Survey 100023706;Epping Forest District Council © Epping Forest District Council 2019, Ordnance Survey 100018534; Harlow Council © Harlow Council 2019, Ordnance Survey 100019627; Maldon District Council © Maldon District Council 2019, Ordnance Survey 100018599; Rochford District Council © Rochford District Council 2019, Ordnance Survey 100018109; Tendring distriktsråd © Tendring distriktsråd 2019, Ordnance Survey 100018684;Thurrock Council © Thurrock Council 2019, Ordnance Survey 100025457; Uttlesford District Council © Uttlesford District Council 2019, Ordnance Survey 100018688. © Miljøagenturets ophavsret og/eller databaseret 2018. Alle rettigheder forbeholdes. Nogle funktioner i dette kort er baseret på digitale geodata fra Center for Økologi og Hydrologi, © NERC (CEH). © Crown ophavsret og databaserettigheder 2018 Ordnance Survey 100024198.

Indeholder eller er afledt af oplysninger fra Ordnance Survey. © Crown ophavsret og databaserettigheder 2020 Ordnance Survey 100022021.

Indeholder Ordnance Survey data © Crown ophavsret og database ret, 2020

Understanding Society (the 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.

This release combines fourteen waves of Understanding Society data with harmonised data from all eighteen waves of the BHPS. As multi-topic studies, the purpose of Understanding Society and BHPS is to understand 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 are also interviewed as long as they are living with them. The study has five sample components: the general population sample; a boost sample of ethnic minority group members; an immigrant and ethnic minority boost sample (from wave 6); participants from the BHPS; and a second general population boost sample added at this wave. In addition, there is the Understanding Society Innovation Panel (which is a separate standalone survey (see SN 6849)). The fieldwork period is for 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 the 2nd year of wave 11), due to the coronavirus pandemic, face-to-face interviews were suspended, and the survey was conducted by web and telephone only, but otherwise has continued as before. Face-to-face interviewing was resumed from April 2022. One person completes the household questionnaire. Each person aged 16 is invited to complete the individual adult interview and self-completed questionnaire. Parents are asked questions about their children under 10 years old. Youths aged 10 to 15 are asked to respond to a self-completion questionnaire. For the general and BHPS samples biomarker, genetic and epigenetic data are also available. The biomarker data, and summary genetics and epigenetic scores, are available via UKDS (see SN 7251); detailed genetics and epigenetics data are available by application (see below). In 2020-21 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). Participants are asked consent to link their data to wide-ranging administrative data sets (see below).

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, Special Licence and Secure Access versions:

There are three versions of the main Understanding Society data with different access conditions. One is available under the standard End User Licence (EUL) agreement (SN 6614), one is a Special Licence (SL) version (this study) and the third is a Secure Access version (SN 6676). The SL version contains month as well as year of birth variables, more detailed country and occupation coding for a number of variables, various income variables that have not been top-coded, and other potentially sensitive variables (see 6931_eul_vs_sl_variable_differences document available with the SL version for full details of the differences). The Secure Access version, in addition to containing all the variables in the SL version, also contains day of birth as well as Grid Reference geographical variables. 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 and Secure Access versions of the data have more restrictive access conditions and prospective users of those versions should visit the catalogue entries for SN 6931 and SN 6676 respectively for further information.

Low- and Medium-level geographical identifiers are also available subject to SL access conditions; see SNs 6666, 6668-6675, 7453-4, 7629-30, 7245, 7248-9 and 9169-9170. Schools data are available subject to SL access conditions in SN 7182. Higher Education establishments for Wave 5 are available subject to SL access conditions in SN 8578. Interviewer Characteristics data, also subject to SL access conditions is available in SN 8579. In addition, a fine detail geographic dataset (SN 6676) is available under more restrictive Secure Access conditions that contains National Grid postcode grid references (at 1m resolution) for the unit postcode of each household surveyed, derived from ONS Postcode Directories (ONSPD). For details on how to make an application for Secure Access dataset, please see the SN 6676 catalogue record.

How to access genetic and/or bio-medical sample data from Understanding Society:

Information on how to access genetics and epigenetics data directly from the study team is available on the Understanding Society Accessing data webpage.

Linked administrative data

Linked Understanding Society / administrative data are available on a number of different platforms. See the Understanding Society Data linkage webpage for details of those currently available and how they can be accessed.

Latest edition information

For the 18th edition (November 2024) Wave 14 data has been added. Other minor changes and corrections have also been made to Waves 1-13. Please refer to the revisions document for full details.

m_hhresp and n_hhresp files updated, December 2024

In the previous release (18th edition, November 2024), there was an issue with household income estimates in m_hhresp and n_hhresp where a household resides in a new local authority (approx. 300 households in wave 14). The issue has been corrected and imputation models re-estimated and imputed values updated for the full sample. Imputed values will therefore change compared to the versions in the original release. The variables affected are w_ficountax_dv, w_fihhmnnet3_dv, n_fihhmnnet4_dv and n_ctband_dv.

Suitable data analysis software

These data are provided by the depositor in Stata format. Users are strongly advised to analyse them in Stata. Transfer to other formats may result in unforeseen issues. Stata SE or MP software is needed to analyse the larger files, which contain over 2,047 variables.

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 and NatCen. It builds on and incorporates the British Household Panel Survey (BHPS), which began in 1991.

For details of the main Understanding Society study, please see study number 6614.

Innovation Panel

The Innovation Panel is designed for experimental and methodological research relevant to longitudinal surveys. As far as practical its design, content, and data collection procedures are similar to the main stage Understanding Society survey. It is a multi-topic household survey representative of the population of Great Britain. Data collection takes place annually using computer assisted personal interviewing (CAPI), web surveys and telephone interviewing (CATI) to a small extent. One person completes the household questionnaire. Each person aged 16 or older answers the individual adult interview, including and self-completion questionnaire. Young people aged 10 to 15 years are asked to respond to a paper self-completion questionnaire. The Innovation Panel has multiple experimental studies in which households or individuals are randomly assigned to a particular instrument or survey procedure. Experiments can relate to survey procedures, questionnaire design, or substantive social science questions. The experiments are described in the User Manual and in Understanding Society Working Papers. Wave 12 included an experiment involving the collection of biomeasures by nurses, interviewers and respondents themselves. The biomeasures included in the experiment were: height, weight, blood pressure, venous and dried blood samples and hair samples. Biomarkers have been derived from the different blood and hair samples to compare analytes across sample types. Due to COVID-19 Waves 13 and 14 were implemented using computer assisted telephone interviewing (CATI) and web surveys. Wave 15 included additional data on body measurements. Respondents were asked to install the BodyVolume app on their smartphone or tablet (iOS or Android) and use it after the interview to take two photos of themselves. The app used the body outlines along with profile information that the respondent entered in the app (age, sex, height, weight, level of activity) to calculate measures including waist and hip circumference, total body fat, visceral body fat, and lengths of different body parts. Wave 16 included an experiment asking parents of children aged under 16 to supply health related information from the child’s red book. Respondents were also asked to install the Sea Hero Quest app and play a game that measures spatial cognition.

Secure Access Dataset:

The Understanding Society: Innovation Panel, Waves 1-16, 2008-2023 dataset contains British National Grid postcode grid references (at 1m resolution) for each household surveyed, derived from the ONS National Statistics Postcode Directories (NSPD). Grid references are presented in terms of Eastings and Northings, which are distances in metres (east and north, respectively) from the origin (0,0), which lies to the west of the Scilly Isles. Each grid reference is given a positional quality indicator to denote the accuracy of the grid reference. In the majority of cases, the assigned grid reference relates to the building of the matched address closest to the postcode mean. No grid references are provided for postcodes in the Channel Islands and the Isle of Man.

The Secure Access version of Understanding Society: Innovation Panel 2008-2023 includes all files in the Special Licence version, plus files containing the 3 variables relating to the National Grid Reference for each household: Easting, Northing and positional quality indicator (OSGRDIND). All other files are the same as in the Special Licence version, which is held under SN 7083.

Related UK Data Archive studies:

The Secure Access version of the dataset has more restrictive access conditions than standard End User Licence or Special Licence access datasets (see 'Access' section). Further details and links to the less restrictive versions can be found on the Understanding Society series Key data page.

Latest edition information

For the 11th edition (November 2024), Wave 16 has been deposited with accompanying documentation. All previous waves have also been redeposited with various corrections - see '7332_ip_waves_1-15_changes_collated.pdf' for details of the changes.

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.

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.

This is a teaching resource for those who are new to data analysis. It is a step-by-step guide starting from exploring a survey, understanding the structure of the survey data and then using the data to do some simple exercises to measure differences in health and wellbeing across ethnic groups. The survey used here is Understanding Society: the UK Household Longitudinal Study which interviews individuals in the sampled households every year. To make it easier to use the teaching dataset accompanying this teaching resource only includes responses given by adults (16+ year olds) during the first interview to questions about ethnicity, health and wellbeing and some key socio-demographic characteristics such as age, sex, education, income, labour market status etc. The statistical software used to construct the dataset is Stata, but it is also available to download in SPSS and tab-delimited text formats.

Nandi, Alita and Wiltshire, Deborah. (2019). "Teaching Resource: Analysing ethnic differences in health using data from Understanding Society".

For information on the main Understanding Society study, see SN 6614, Understanding Society and Harmonised BHPS.

Latest edition information
For the second edition (August 2020), updated data and documentation files were deposited.

Understanding Society (the 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 '9194_calendar_year_dataset_2020_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 xxxx_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 the User Guide for further details.

Suitable data analysis software

These data are provided by the depositor in Stata format. Users are strongly advised to analyse them in Stata. Transfer to other formats may result in unforeseen issues. Stata SE or MP software is needed to analyse the larger files, which contain about 1,900 variables.

Soil Survey PublicationsON 00 - Preliminary Soil Survey of Southwestern Ontario (1923)ON 02 - Soil Survey Report Elgin County (1929)ON 03 - Soil Survey Report Kent County (1930)ON 05 - Soil Survey Report Welland County (1935)ON 06 - Soil Survey Report Middlesex County (1931)ON 07 - Soil Survey Report Carleton County (1944)ON 08 - Reconnaissance Soil Survey of Parts of Northwestern Ontario (1944)ON 09 - Soil Survey Report Durham County (1946)ON 10 - Soil Survey Report Prince Edward County (1948)ON 11 - Soil Survey Report Essex County (1949)ON 12 - Soil Survey Report Grenville County (1949)ON 13 - Soil Survey Report Huron County (1952)ON 14 - Soil Survey Report Dundas County (1952)ON 15 - Soil Survey Report Perth County (1952)ON 16 - Soil Survey Report Bruce County (1954)ON 17 - Soil Survey Report Grey County (1954)ON 18 - Soil Survey Report Peel County (1953)ON 19 - Soil Survey Report York County (1955)ON 20 - Soil Survey Report Stormont County (1954)ON 21 - Soil Survey Report New Liskeard - Englehart Area (1952)ON 22 - Soil Survey Report Lambton County (1957)ON 23 - Soil Survey Report Ontario County (1956)ON 24 - Soil Survey Report Glengarry County (1957)ON 25 - Soil Survey Report Victoria County (1957)ON 26 - Soil Survey Report Manitoulin Island (1959)ON 27 - Soil Survey Report Hastings County (1962)ON 28 - Soil Survey Report Oxford County (1961)ON 28a - Soil Survey Report Oxford County Upgrade (1996)ON 29 - Soil Survey Report Simcoe County (1962)ON 30 - Soil Associations of Southern Ontario (1964)ON 31 - Soil Survey Report Parry Sound County (1962)ON 32 - Soil Survey Report Wentworth County (1965)ON 33 - Soil Survey Report Prescott Russell County (1962)ON 34 - Soil Survey Report Lincoln County (1963)ON 35 - Soil Survey Report Wellington County (1963)ON 36 - Soil Survey Report Lennox Addington County (1963)ON 37 - Soil Survey Report Renfrew County (1964)ON 38 - Soil Survey Report Dufferin County (1964)ON 39 - Soil Survey Report Frontenac County (1966)ON 40 - Soil Survey Report Lanark County (1967)ON 41 - Soil Survey Report Leeds County (1968)ON 42 - Soil Survey Report Northumberland County (1974)ON 43 - Soil Survey Report Halton County (1971)ON 44 - Soil Survey Report Waterloo County (1971)ON 44a - Soil Survey Report Waterloo County Upgrade (1996)ON 45 - Soil Survey Report Peterborough County (1981)ON 46 - Soils of Timmins-Noranda-Rouyn (1978) - MathesonON 46 - Soils of Timmins-Noranda-Rouyn (1978) - PamourON 46 - Soils of Timmins-Noranda-Rouyn (1978) - TimminsON 46 - Soils of Timmins-Noranda-Rouyn (1978) - Iroquois FallsON 46 - Soils of Timmins-Noranda-Rouyn (1978) - Kirkland LakeON 46 - Soils of Timmins-Noranda-Rouyn (1978) - Porquis JunctionON 46 - Soils of Timmins-Noranda-Rouyn (1978) - Timmins / Noranda / Rouyn AreaON 48 - Soils of Thunder Bay Area (1981) - Jarvis RiverON 48 - Soils of Thunder Bay Area (1981) - LoonON 48 - Soils of Thunder Bay Area (1981) - ParthON 48 - Soils of Thunder Bay Area (1981) - SunshineON 48 - Soils of Thunder Bay Area (1981) - Thunder BayON 48 - Soils of Thunder Bay Area (1981) - Thunder Bay AreaON 48 - Soils of Thunder Bay Area (1981) - Kakabeka FallsON 48 - Soils of Thunder Bay Area (1981) - Onion LakeON 48 - Soils of Thunder Bay Area (1981) - Pigeon RiverON 49 - Soils of Sudbury Area (1983) - CapreolON 49 - Soils of Sudbury Area (1983) - ChelmsfordON 49 - Soils of Sudbury Area (1983) - ConistonON 49 - Soils of Sudbury Area (1983) - Copper CliffON 49 - Soils of Sudbury Area (1983) - EspanolaON 49 - Soils of Sudbury Area (1983) - Lake TemagamiON 49 - Soils of Sudbury Area (1983) - MilnetON 49 - Soils of Sudbury Area (1983) - NoelvilleON 49 - Soils of Sudbury Area (1983) - SudburyON 49 - Soils of Sudbury Area (1983) - VernerON 49 - Soils of Sudbury Area (1983) - Whitefish FallsON 50 - Soils of Blind River - Sault Ste Marie Area (1983) - AlgomaON 50 - Soils of Blind River - Sault Ste Marie Area (1983) - Blind River - Sault Ste Marie AreaON 50 - Soils of Blind River - Sault Ste Marie Area (1983) - Bruce MinesON 50 - Soils of Blind River - Sault Ste Marie Area (1983) - Dean LakeON 50 - Soils of Blind River - Sault Ste Marie Area (1983) - Ile ParisienneON 50 - Soils of Blind River - Sault Ste Marie Area (1983) - Iron BridgeON 50 - Soils of Blind River - Sault Ste Marie Area (1983) - MadawansonON 50 - Soils of Blind River - Sault Ste Marie Area (1983) - Pancake BayON 50 - Soils of Blind River - Sault Ste Marie Area (1983) - Sault Ste MarieON 50 - Soils of Blind River - Sault Ste Marie Area (1983) - SearchmountON 50 - Soils of Blind River - Sault Ste Marie Area (1983) - SpanishON 50 - Soils of Blind River - Sault Ste Marie Area (1983) - St. Joseph IslandON 50 - Soils of Blind River - Sault Ste Marie Area (1983) - Whisky LakeON 51 - Soils of Fort Frances - Rainy River Area (1984) - Arbor VitaeON 51 - Soils of Fort Frances - Rainy River Area (1984) - EmoON 51 - Soils of Fort Frances - Rainy River Area (1984) - Fort FrancesON 51 - Soils of Fort Frances - Rainy River Area (1984) - Fort Frances - Rainy River AreaON 51 - Soils of Fort Frances - Rainy River Area (1984) - Northwest BayON 51 - Soils of Fort Frances - Rainy River Area (1984) - Rainy RiverON 52 - Soils of Kenora-Dryden-Pointe Du Bois Area (1987) - Crowduck LakeON 52 - Soils of Kenora-Dryden-Pointe Du Bois Area (1987) - DrydenON 52 - Soils of Kenora-Dryden-Pointe Du Bois Area (1987) - KeewatinON 52 - Soils of Kenora-Dryden-Pointe Du Bois Area (1987) - Vermilion BayON 53 - Soils of Pukaskwa National Park (1985) - PukaskwaON 54 - Soils of North Bay Area (1986) - KioskON 54 - Soils of North Bay Area (1986) - Marten LakeON 54 - Soils of North Bay Area (1986) - MattawaON 54 - Soils of North Bay Area (1986) - North BayON 54 - Soils of North Bay Area (1986) - PowassonON 54 - Soils of North Bay Area (1986) - Sturgeon FallsON 54 - Soils of North Bay Area (1986) - TemiscamingON 55 - Soil Survey Report Brant County (1989)ON 56 - Soil Survey Report Middlesex County (1992)ON 57 - Soil Survey Report Regional Municipality Haldimand Norfolk (1984)ON 58 - Soil Survey Report Regional Municipality Ottawa Carleton (1987)ON 59 - Soils of Gogama Area (1986) - CharltonON 59 - Soils of Gogama Area (1986) - ElkON 59 - Soils of Gogama Area (1986) - GogamaON 60 - Soil Survey Report Regional Municipality Niagara (1989)ON 61 - Soil Survey Report Chapleau Foleyet (1984)ON 63 - Soil Survey Report Elgin County (1992)ON 64 - Soil Survey Report Kent County Upgrade (1994)ON 90 - Soil Survey Report Ville Marie (1990)ON 98 - Location and Extent of the Soils of Southern Ontario (1998)

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.

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 Kantar Public and NatCen. It builds on and incorporates, the British Household Panel Survey (BHPS), which began in 1991.

The annual information across a wide range of topics gathered as part of Understanding Society before and after childbirth, coupled with data on the entire family, provides contextual insight into the development of children. Moreover, all children in the household are themselves participants of Understanding Society from birth, parents provide information on their child’s health and development until the age of 10, when data is gathered directly from all children.

The Pregnancy and Early Childhood (PEACH) dataset consists of a single crosswave file that brings together the key data reported by parents for all children aged under 10 years as reported in the w_child file, w_newborn file and information on pregnancy and parenting styles from w_indresp files across waves 1 to 13 of the main study. The information is provided at the child level using the child's identifier (crosswave person identifier - pidp) to ensure each row is uniquely identifiable. In addition, the pidp of the parent or responsible adult providing information at different waves is included to make it easy to link back to family circumstances. A total of 303 variables are included, created from 164 questions. Full details can be found in the user guide.

This dataset is designed to be linked to the main Understanding Society datasets SN 6614 (end user licence), SN 6931 (special licence) or SN 6676 (secure access), so that the child’s development can be related to their broader family circumstances. Information can be linked for the child using the crosswave personal identifier variables beginning with “pidp” as appropriate or for the parent providing the information.

Latest edition information

For the third edition (March 2024), data from Wave 13 of the main study have been added to the data file, and the user guide has been updated accordingly.

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.

Understanding Society (the 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, 2022: Special Licence Access, is designed for analysts to conduct cross-sectional analysis for the 2022 calendar year. The Calendar Year datasets combine data collected in a specific year from across multiple waves and these are released as separate calendar year studies, with appropriate analysis weights, starting with the 2020 Calendar Year dataset. Each subsequent year, an additional yearly study is released.

The Calendar Year data is designed to enable timely cross-sectional analysis of individuals and households in a calendar year. Such analysis can however, only involve variables that are collected in every wave (excluding rotating content which is only collected in some of the waves). Due to overlapping fieldwork the data files combine data collected in the three waves that make up a calendar year. Analysis cannot be restricted to data collected in one wave during a calendar year, as this subset will not be representative of the population. Further details and guidance on this study can be found in the document 9334_main_survey_calendar_year_user_guide_2022.

These calendar year datasets should be used for cross-sectional analysis only. For those interested in longitudinal analyses using Understanding Society please access the main survey datasets: End User Licence version or Special Licence version.

Understanding Society: the UK Household Longitudinal Study, started in 2009 with a general population sample (GPS) of UK residents living in private households of around 26,000 households and an ethnic minority boost sample (EMBS) of 4,000 households. All members of these responding households and their descendants became part of the core sample who were eligible to be interviewed every year. Anyone who joined these households after this initial wave, were also interviewed as long as they lived with these core sample members to provide the household context. At each annual interview, some basic demographic information was collected about every household member, information about the household is collected from one household member, all 16+ year old household members are eligible for adult interviews, 10-15 year old household members are eligible for youth interviews, and some information is collected about 0-9 year olds from their parents or guardians. Since 1991 until 2008/9 a similar survey, the British Household Panel Survey (BHPS), was fielded. The surviving members of this survey sample were incorporated into Understanding Society in 2010. In 2015, an immigrant and ethnic minority boost sample (IEMBS) of around 2,500 households was added. In 2022 a GPS boost sample (GPS2) of around 5,700 households was added. To know more about the sample design, following rules, interview modes, incentives, consent, questionnaire content please see the study overview and user guide.

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 2022 data. One is available under the standard End User Licence (EUL) agreement (SN 9333), and the other is a Special Licence (SL) version (SN 9334). 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 9334_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 2022 dataset, subject to SL access conditions. See the User Guide for further details.

Suitable data analysis software

These data are provided by the depositor in Stata format. Users are strongly advised to analyse them in Stata. Transfer to other formats may result in unforeseen issues. Stata SE or MP software is needed to analyse the larger files, which contain about 1,800 variables.