Statistics on student debt, including the average debt at graduation, the percentage of graduates who owed large debt at graduation and the percentage of graduates with debt who had paid it off at the time of the interview, are presented by the province of study and the level of study. Estimates are available at five-year intervals.

Abstract copyright UK Data Service and data collection copyright owner.

Next Steps (also known as the Longitudinal Study of Young People in England (LSYPE1)) is a major longitudinal cohort study following a nationally representative group of around 16,000 who were in Year 9 attending state and independent schools in England in 2004, a cohort born in 1989-90.

The first seven sweeps of the study were conducted annually (2004-2010) when the study was funded and managed by the Department for Education (DfE). The study mainly focused on the educational and early labour market experiences of young people.

In 2015 Next Steps was restarted, under the management of the Centre for Longitudinal Studies (CLS) at the UCL Faculty of Education and Society (IOE) and funded by the Economic and Social Research Council. The Next Steps Age 25 survey was aimed at increasing the understanding of the lives of young adults growing up today and the transitions out of education and into early adult life.

The Next Steps Age 32 Survey took place between April 2022 and September 2023 and is the ninth sweep of the study. The Age 32 Survey aimed to provide data for research and policy on the lives of this generation of adults in their early 30s. This sweep also collected information on many wider aspects of cohort members' lives including health and wellbeing, politics and social participation, identity and attitudes as well as capturing personality, resilience, working memory and financial literacy.

Next Steps survey data is also linked to the National Pupil Database (NPD), the Hospital Episode Statistics (HES), the Individualised Learner Records (ILR) and the Student Loans Company (SLC).

There are now two separate studies that began under the LSYPE programme. The second study, Our Future (LSYPE2) (available at the UK Data Service under GN 2000110), began in 2013 and will track a sample of over 13,000 young people annually from ages 13/14 through to age 20.

Further information about Next Steps may be found on the CLS website.

Secure Access datasets:

Secure Access versions of Next Steps have more restrictive access conditions than Safeguarded versions available under the standard End User Licence (see 'Access' section).

Secure Access versions of the Next Steps include:

• sensitive variables from the questionnaire data for Sweeps 1-9. These are available under Secure Access SN 8656.
  
• National Pupil Database (NPD) linked data at Key Stages 2, 3, 4 and 5, England. These are available under SN 7104.
• Linked Individualised Learner Records learner and learning aims datasets for academic years 2005 to 2014, England. These are available under SN 8577.
  
• detailed geographic indicators for Sweep 1 and Sweep 8 (2001 Census Boundaries) - available under SN 8189 and geographic indicators for Sweep 8 (2011 Census Boundaries) - available under SN 8190. The Sweep 1 geography file was previously held under SN 7104.
• Linked Health Administrative Datasets (Hospital Episode Statistics) for years 1998-2017 held under SN 8681.
• Linked Student Loans Company Records for years 2007-2021 held under SN 8848.

When researchers are approved/accredited to access a Secure Access version of Next Steps, the Safeguarded (EUL) version of the study - Next Steps: Sweeps 1-9, 2004-2023 (SN 5545) - will be automatically provided alongside.

The Student Loans Company (SLC) is a non-profit making government-owned organisation that administers loans and grants to students in colleges and universities in the UK. The Next Steps: Linked Administrative Datasets (Student Loans Company Records), 2007 - 2021: Secure Access includes data on higher education loans for those Next Steps participant who provided consent to SLC linkage in the age 25 sweep. The matched SLC data contains information about participant's applications for student finance, payment transactions posted to participant's accounts, repayment details and overseas assessment details.

Main Topics:

The study includes four datasets:

Applicant: SLC data on cohort member’s application for student finance between academic years 2007 and 2020

Payments: SLC data on payment transactions made to cohort member between financial years 2007 and 2021.

Repayments: SLC data on cohort member’s repayment transactions between financial years 2009 and 2021.

Overseas: SLC data on overseas assessment for cohort member between 2007 and 2020

Tables show data on federal student aid from the Canada Student Financial Assistance Program. The data reports only on aid in the provinces and territory who take part in the program. Note: - data are from the 2009 to 2010 to the 2021 to 2022 academic year (August 1 of the current year to July 31 of the next) - figures may not add up to the total as some cells are blocked due to privacy, and due to rounding - Unless otherwise stated, tables include both full-time and part-time students

Content

Source ID: FL313066220.Q

For more information about the Flow of Funds tables, see: https://www.federalreserve.gov/apps/fof/Default.aspx

For a detailed description, including how this series is constructed, see: https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL313066220&t=

Context

This is a dataset from the Federal Reserve hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve using Kaggle and all of the data sources available through the Federal Reserve organization page!

• Update Frequency: This dataset is updated daily.

• Observation Start: 1945-10-01

• Observation End : 2019-04-01

Acknowledgements

This dataset is maintained using FRED's API and Kaggle's API.

Cover photo by Michael on Unsplash
Unsplash Images are distributed under a unique Unsplash License.

Statistics on postsecondary graduates who owed money for their education to government-sponsored student loans at graduation, including the average debt at graduation, the percentage of graduates who owed large debt at graduation and the percentage of debt paid off at the time of the interview, are presented by the province of study and the level of study. Estimates are available at five-year intervals.

The G.19 Statistical Release, Consumer Credit, reports outstanding credit extended to individuals for household, family, and other personal expenditures, excluding loans secured by real estate. Total consumer credit comprises two major types: revolving and nonrevolving. Revolving credit plans may be unsecured or secured by collateral and allow a consumer to borrow up to a prearranged limit and repay the debt in one or more installments. Credit card loans comprise most of revolving consumer credit measured in the G.19, but other types, such as prearranged overdraft plans, are also included. Nonrevolving credit is closed-end credit extended to consumers that is repaid on a prearranged repayment schedule and may be secured or unsecured. To borrow additional funds, the consumer must enter into an additional contract with the lender. Consumer motor vehicle and education loans comprise the majority of nonrevolving credit, but other loan types, such as boat loans, recreational vehicle loans, and personal loans, are also included. This statistical release is designated by OMB as a Principal Federal Economic Indicator (PFEI).

Key information about United States Household Debt

• United States Household Debt reached 18,036.0 USD bn in Dec 2024, compared with the reported number of 17,943.0 USD bn in the previous quarter
• US Household Debt: USD mn data is updated quarterly, available from Mar 1999 to Dec 2024
• The data reached an all-time high of 18,036.0 USD bn in Dec 2024 and a record low of 4,540.0 USD bn in Mar 1999

Federal Reserve Board of New York provides quarterly Household Debt in USD. Household Debt includes Mortgages, Home Equity Revolving, Auto Loans, Bankcards, Student Loans and Others.


Further information about United States Household Debt

• In the latest reports, United States Household Debt accounted for 61.7 % of the country's Nominal GDP in Dec 2024
• Money Supply M2 in United States increased 21,533.8 USD bn YoY in Dec 2024
• United States Foreign Exchange Reserves was measured at 34.9 USD bn in Dec 2024
• The Foreign Exchange Reserves equaled 0.1 Months of Import in Dec 2024
• United States Domestic Credit reached 30,648.3 USD bn in Mar 2024, representing an drop of 0.3 % YoY

The State Loan Repayment Program helps HRSA provide grant funding for states and territories to operate their own loan repayment programs. Through SLRP each state and territory can design programs that address the most pressing health care needs of their residents. Primary medical, mental/behavioral, and dental clinicians who receive awards through SLRP-funded programs pay off their student debt in exchange for working in areas with provider shortages.HRSA programs provide equitable health care to people who are geographically isolated and economically or medically vulnerable. This includes programs that deliver health services to people with HIV, pregnant people, mothers and their families, those with low incomes, residents of rural areas, American Indians and Alaska Natives, and those otherwise unable to access high-quality health care. HRSA programs also support health infrastructure, including through training of health professionals and distributing them to areas where they are needed most, providing financial support to health care providers, and advancing telehealth. Location and data was provided by the Health Resources and Services Administration in October 2022. Update Frequency: Annual

Next Steps (also known as the Longitudinal Study of Young People in England (LSYPE1)) is a major longitudinal cohort study following a nationally representative group of around 16,000 who were in Year 9 attending state and independent schools in England in 2004, a cohort born in 1989-90.

The first seven sweeps of the study were conducted annually (2004-2010) when the study was funded and managed by the Department for Education (DfE). The study mainly focused on the educational and early labour market experiences of young people.

In 2015 Next Steps was restarted, under the management of the Centre for Longitudinal Studies (CLS) at the UCL Faculty of Education and Society (IOE) and funded by the Economic and Social Research Council. The Next Steps Age 25 survey was aimed at increasing the understanding of the lives of young adults growing up today and the transitions out of education and into early adult life.

The Next Steps Age 32 Survey took place between April 2022 and September 2023 and is the ninth sweep of the study. The Age 32 Survey aimed to provide data for research and policy on the lives of this generation of adults in their early 30s. This sweep also collected information on many wider aspects of cohort members' lives including health and wellbeing, politics and social participation, identity and attitudes as well as capturing personality, resilience, working memory and financial literacy.

Next Steps survey data is also linked to the National Pupil Database (NPD), the Hospital Episode Statistics (HES), the Individualised Learner Records (ILR) and the Student Loans Company (SLC).

There are now two separate studies that began under the LSYPE programme. The second study, Our Future (LSYPE2) (available at the UK Data Service under GN 2000110), began in 2013 and will track a sample of over 13,000 young people annually from ages 13/14 through to age 20.

Further information about Next Steps may be found on the CLS website.

Secure Access datasets:

Secure Access versions of Next Steps have more restrictive access conditions than Safeguarded versions available under the standard End User Licence (see 'Access' section).

Secure Access versions of the Next Steps include:

• sensitive variables from the questionnaire data for Sweeps 1-9. These are available under Secure Access SN 8656.
  
• National Pupil Database (NPD) linked data at Key Stages 2, 3, 4 and 5, England. These are available under SN 7104.
• Linked Individualised Learner Records learner and learning aims datasets for academic years 2005 to 2014, England. These are available under SN 8577.
  
• detailed geographic indicators for Sweep 1 and Sweep 8 (2001 Census Boundaries) are available under SN 8189, geographic indicators for Sweep 8 and 9 (2011 Census Boundaries) are available under SN 8190, and geographic indicators for Sweep 9 (2021 Census Boundaries) are available under SN 9337. The Sweep 1 geography file was previously held under SN 7104.
• Linked Health Administrative Datasets (Hospital Episode Statistics) for financial years 1997-2022 held under SN 8681.
• Linked Student Loans Company Records for years 2007-2021 held under SN 8848.

When researchers are approved/accredited to access a Secure Access version of Next Steps, the Safeguarded (EUL) version of the study - Next Steps: Sweeps 1-9, 2004-2023 (SN 5545) - will be automatically provided alongside.

Users are only allowed one of the three Geographical Identifiers Census Boundaries studies: SN 8189 (2001 Census Boundaries), SN 8190 (2011 Census Boundaries), or SN 9337 (2021 Census Boundaries).

International Data Access Network (IDAN)
These data are now available to researchers based outside the UK. Selected UKDS SecureLab/controlled datasets from the Institute for Social and Economic Research (ISER) and the Centre for Longitudinal Studies (CLS) have been made available under the International Data Access Network (IDAN) scheme, via a Safe Room access point at one of the UKDS IDAN partners. Prospective users should read the UKDS SecureLab application guide for non-ONS data for researchers outside of the UK via Safe Room Remote Desktop Access. Further details about the IDAN scheme can be found on the UKDS International Data Access Network webpage and on the IDAN website.

Latest edition information:
For the second edition (January 2025), the Sweep 9 data and documentation have been added.

Abstract copyright UK Data Service and data collection copyright owner. The 'National Adult Learning Survey 2001' (NALS 2001) is the third study in a series which explores participation in a range of learning experiences. The NALS series is used by the Department for Education and Skills (DfES) to evaluate the effectiveness of their adult learning policies. It is also used to monitor progress in meeting the government National Learning Target for adult participation. The third survey aimed to collect data on a wide range of learning experiences, including taught and self-directed learning, vocational learning and other types of job-related earning. It covered not only people who have done some learning, training or education, but also those who have not done any in recent years. The survey aimed to increase understanding of why some people decide to learn while others do not. The DfES are keen to identify barriers to learning that people experience such as course fees, bad past experience of learning at school and lack of time. Therefore, they are particularly interested in those who have not done any learning recently. The first survey in the series, NALS 1997 is held at the UK Data Archive under SN:3815, and was conducted by the National Centre for Social Research under its former name, Social and Community Planning Research (SCPR). The second survey, NALS 2000, conducted by Ipsos-RSL, is held under SN:4578. Main Topics: The dataset includes information on: full-time education and qualifications; taught learning: subject, mode and use of information and communication technology (ICT), time and place of learning, motivations and outcomes, advice received and problems with courses; self-directed learning: subject, use of ICT, motivations and outcomes, problems with learning experience; information and advice about learning; future learning and knowledge of learning initiatives; use of ICT. Standard Measures For qualifications, the NVQ level equivalent was derived using the Labour Force Survey code frame. Employment data were classified using Standard Occupational Classification (SOC 1990) and Socio-Economic Group (SEG). The Department of Environment, Transport and the Regions (DETR) multiple deprivation index (2000) was added to the data (England only). Multi-stage stratified random sample Face-to-face interview computer-assisted 2001 ADULTS ADVANCED LEVEL EXAM... AGE ALIMONY APPRENTICESHIP ATTITUDES CARE OF DEPENDANTS CAREER DEVELOPMENT CAREERS GUIDANCE CHILDREN CLUBS COMMUNICATION NETWORKS COMMUNICATIONS COMPUTERS DEBILITATIVE ILLNESS DEGREES DISABILITIES DISABLED PERSONS DRIVING LICENCES ECONOMIC ACTIVITY EDUCATIONAL BACKGROUND EDUCATIONAL COURSES EDUCATIONAL EQUIPMENT EDUCATIONAL FEES EDUCATIONAL GUIDANCE EDUCATIONAL INSTITU... EDUCATIONAL OBJECTIVES EMPLOYER SPONSORED ... EMPLOYMENT EMPLOYMENT HISTORY EMPLOYMENT PROGRAMMES ETHNIC GROUPS England and Wales FACILITIES FAMILY MEMBERS FIELDS OF STUDY FIRST AID FURTHER EDUCATION GENDER GENERAL CERTIFICATE... GENERAL CERTIFICATE... HEALTH HOUSEHOLDS HOUSING Higher and further ... ILL HEALTH INCOME INDIVIDUAL STUDY INTERNAL POLITICS INTERNET LEARNING METHODS LIFELONG EDUCATION LOANS MEMORY MOTOR PROCESSES NATIONAL VOCATIONAL... NEWSPAPER READERSHIP OBJECTIVES OCCUPATIONAL PENSIONS OCCUPATIONAL QUALIF... ONE PARENT FAMILIES POLITICAL ISSUES POLITICAL PARTICIPA... POVERTY QUALIFICATIONS QUALITY OF LIFE RETIREMENT SATISFACTION SCOTTISH CERTIFICAT... SCOTTISH CERTIFICAT... SELF EMPLOYED SELF ESTEEM SOCIAL CLASS SOCIAL DISADVANTAGE SOCIAL SECURITY BEN... SOCIAL SUPPORT SOCIO ECONOMIC STATUS STATE RETIREMENT PE... STUDENTS SUPERVISORY STATUS TEACHER QUALIFICATIONS TEACHING TEACHING MATERIALS TEACHING METHODS TELEVISION VIEWING URINARY INCONTINENCE VOCATIONAL EDUCATION VOCATIONAL EDUCATIO... VOLUNTARY WORK Vocational educatio... WAGES

Abstract copyright UK Data Service and data collection copyright owner.Next Steps (also known as the Longitudinal Study of Young People in England (LSYPE1)) is a major longitudinal cohort study following a nationally representative group of around 16,000 who were in Year 9 attending state and independent schools in England in 2004, a cohort born in 1989-90.The first seven sweeps of the study were conducted annually (2004-2010) when the study was funded and managed by the Department for Education (DfE). The study mainly focused on the educational and early labour market experiences of young people.In 2015 Next Steps was restarted, under the management of the Centre for Longitudinal Studies (CLS) at the UCL Faculty of Education and Society (IOE) and funded by the Economic and Social Research Council. The Next Steps Age 25 survey was aimed at increasing the understanding of the lives of young adults growing up today and the transitions out of education and into early adult life.The Next Steps Age 32 Survey took place between April 2022 and September 2023 and is the ninth sweep of the study. The Age 32 Survey aimed to provide data for research and policy on the lives of this generation of adults in their early 30s. This sweep also collected information on many wider aspects of cohort members' lives including health and wellbeing, politics and social participation, identity and attitudes as well as capturing personality, resilience, working memory and financial literacy.Next Steps survey data is also linked to the National Pupil Database (NPD), the Hospital Episode Statistics (HES), the Individualised Learner Records (ILR) and the Student Loans Company (SLC).There are now two separate studies that began under the LSYPE programme. The second study, Our Future (LSYPE2) (available at the UK Data Service under GN 2000110), began in 2013 and will track a sample of over 13,000 young people annually from ages 13/14 through to age 20.Further information about Next Steps may be found on the CLS website.Secure Access datasets:Secure Access versions of Next Steps have more restrictive access conditions than Safeguarded versions available under the standard End User Licence (see 'Access' section).Secure Access versions of the Next Steps include:sensitive variables from the questionnaire data for Sweeps 1-9. These are available under Secure Access SN 8656. National Pupil Database (NPD) linked data at Key Stages 2, 3, 4 and 5, England. These are available under SN 7104.Linked Individualised Learner Records learner and learning aims datasets for academic years 2005 to 2014, England. These are available under SN 8577.detailed geographic indicators for Sweep 1 and Sweep 8 (2001 Census Boundaries) - available under SN 8189 and geographic indicators for Sweep 8 (2011 Census Boundaries) - available under SN 8190. The Sweep 1 geography file was previously held under SN 7104.Linked Health Administrative Datasets (Hospital Episode Statistics) for years 1998-2017 held under SN 8681.Linked Student Loans Company Records for years 2007-2021 held under SN 8848.When researchers are approved/accredited to access a Secure Access version of Next Steps, the Safeguarded (EUL) version of the study - Next Steps: Sweeps 1-9, 2004-2023 (SN 5545) - will be automatically provided alongside. Users are only allowed one Geographical Identifiers Census Boundaries study, either SN 8189 (2001 Census Boundaries) or SN 8190 (2011 Census Boundaries).International Data Access Network (IDAN)These data are now available to researchers based outside the UK. Selected UKDS SecureLab/controlled datasets from the Institute for Social and Economic Research (ISER) and the Centre for Longitudinal Studies (CLS) have been made available under the International Data Access Network (IDAN) scheme, via a Safe Room access point at one of the UKDS IDAN partners. Prospective users should read the UKDS SecureLab application guide for non-ONS data for researchers outside of the UK via Safe Room Remote Desktop Access. Further details about the IDAN scheme can be found on the UKDS International Data Access Network webpage and on the IDAN website.

Abstract copyright UK Data Service and data collection copyright owner. This study aimed to explore the ways in which male students calculated the costs and benefits of higher education in England in the 1930s, before the establishment of mandatory grants and awards; together with an analysis of the strategies used for meeting the costs of this investment. It was designed to complement the researcher's earlier study of women graduates of the same period, which was carried out in 1995 with support from the Spencer Foundation in Chicago. Main Topics: A total of 1085 four page questionnaires were distributed to men who had graduated from eight English universities and university colleges before 1939. Respondents were asked to give information about their social background and the ways in which they had met the expense of their years at college. They were also asked about their subsequent careers. A total of 577 completed questionnaires were obtained. This database contains only that material, extracted from the completed questionnaires, which could be effectively anonymised. Entries give information about family of origin and family of destination. They give some indication of reasons for going to university. The bulk of the information relates to family support and type of funding. Main variables: institution, father's occupation, mother's occupation, family of origin size, reasons for going to university, arts or sciences, subject, degree result, extent of family funding, state scholarship, local authority scholarship, board of education grant, school scholarship, university/college scholarship, loans taken out, other sources of support, teaching qualification, place of residence, vacation work, first occupation, other occupations, marital status, number of children, wife's occupation before marriage, wife's employment status after marriage, notes. The original questionnaires remain in the possession of the depositor and access is embargoed. Please note: this study does not include information on named individuals and would therefore not be useful for personal family history research. Volunteer sample

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Student Loan Meltdown? (SLM)

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Key information about Thailand Household Debt: % of GDP

• Thailand household debt accounted for 88.8 % of the country's Nominal GDP in Sep 2024, compared with the ratio of 89.7 % in the previous quarter.
• Thailand household debt to GDP ratio is updated quarterly, available from Mar 2003 to Sep 2024.
• The data reached an all-time high of 95.5 % in Mar 2021 and a record low of 40.6 % in Mar 2003.

CEIC calculates quarterly Household Debt as % of Nominal GDP from quarterly Household Debt and quarterly Nominal GDP. The Bank of Thailand provides Household Debt in local currency. The Office of the National Economic and Social Development Council provides Nominal GDP in local currency. Loans are used due to the lack of Flow of Funds statistics. Household Debt as % of Nominal GDP prior to Q1 2012 excludes Student Loan Fund, National Housing Authority, Agricultural Cooperatives, Fisheries Cooperatives, Land Settlement Cooperatives, Consumer Cooperatives and Service Cooperatives.


Related information about Thailand Household Debt: % of GDP

• In the latest reports, Thailand Household Debt reached 445.6 USD bn in Mar 2023.
• Money Supply M2 in Thailand increased 3.3 % YoY in Dec 2024.
• Thailand Foreign Exchange Reserves was measured at 214.5 USD bn in Jan 2025.
• The Foreign Exchange Reserves equaled 7.9 Months of Import in Jan 2025.
• Thailand Domestic Credit reached 786.6 USD bn in Dec 2024, representing an increased of 1.9 % YoY.

Next Steps (also known as the Longitudinal Study of Young People in England (LSYPE1)) is a major longitudinal cohort study following a nationally representative group of around 16,000 who were in Year 9 attending state and independent schools in England in 2004, a cohort born in 1989-90.

The first seven sweeps of the study were conducted annually (2004-2010) when the study was funded and managed by the Department for Education (DfE). The study mainly focused on the educational and early labour market experiences of young people.

In 2015 Next Steps was restarted, under the management of the Centre for Longitudinal Studies (CLS) at the UCL Faculty of Education and Society (IOE) and funded by the Economic and Social Research Council. The Next Steps Age 25 survey was aimed at increasing the understanding of the lives of young adults growing up today and the transitions out of education and into early adult life.

The Next Steps Age 32 Survey took place between April 2022 and September 2023 and is the ninth sweep of the study. The Age 32 Survey aimed to provide data for research and policy on the lives of this generation of adults in their early 30s. This sweep also collected information on many wider aspects of cohort members' lives including health and wellbeing, politics and social participation, identity and attitudes as well as capturing personality, resilience, working memory and financial literacy.

Next Steps survey data is also linked to the National Pupil Database (NPD), the Hospital Episode Statistics (HES), the Individualised Learner Records (ILR) and the Student Loans Company (SLC).

There are now two separate studies that began under the LSYPE programme. The second study, Our Future (LSYPE2) (available at the UK Data Service under GN 2000110), began in 2013 and will track a sample of over 13,000 young people annually from ages 13/14 through to age 20.

Further information about Next Steps may be found on the CLS website.

Secure Access datasets:

Secure Access versions of Next Steps have more restrictive access conditions than Safeguarded versions available under the standard End User Licence (see 'Access' section).

Secure Access versions of the Next Steps include:

• sensitive variables from the questionnaire data for Sweeps 1-9. These are available under Secure Access SN 8656.
  
• National Pupil Database (NPD) linked data at Key Stages 2, 3, 4 and 5, England. These are available under SN 7104.
• Linked Individualised Learner Records learner and learning aims datasets for academic years 2005 to 2014, England. These are available under SN 8577.
  
• detailed geographic indicators for Sweep 1 and Sweep 8 (2001 Census Boundaries) are available under SN 8189, geographic indicators for Sweep 8 and 9 (2011 Census Boundaries) are available under SN 8190, and geographic indicators for Sweep 9 (2021 Census Boundaries) are available under SN 9337. The Sweep 1 geography file was previously held under SN 7104.
• Linked Health Administrative Datasets (Hospital Episode Statistics) for financial years 1997-2022 held under SN 8681.
• Linked Student Loans Company Records for years 2007-2021 held under SN 8848.

When researchers are approved/accredited to access a Secure Access version of Next Steps, the Safeguarded (EUL) version of the study - Next Steps: Sweeps 1-9, 2004-2023 (SN 5545) - will be automatically provided alongside.

Abstract copyright UK Data Service and data collection copyright owner.The Opinions and Lifestyle Survey (formerly known as the ONS Opinions Survey or Omnibus) is an omnibus survey that began in 1990, collecting data on a range of subjects commissioned by both the ONS internally and external clients (limited to other government departments, charities, non-profit organisations and academia).Data are collected from one individual aged 16 or over, selected from each sampled private household. Personal data include data on the individual, their family, address, household, income and education, plus responses and opinions on a variety of subjects within commissioned modules. The questionnaire collects timely data for research and policy analysis evaluation on the social impacts of recent topics of national importance, such as the coronavirus (COVID-19) pandemic and the cost of living, on individuals and households in Great Britain. From April 2018 to November 2019, the design of the OPN changed from face-to-face to a mixed-mode design (online first with telephone interviewing where necessary). Mixed-mode collection allows respondents to complete the survey more flexibly and provides a more cost-effective service for customers. In March 2020, the OPN was adapted to become a weekly survey used to collect data on the social impacts of the coronavirus (COVID-19) pandemic on the lives of people of Great Britain. These data are held in the Secure Access study, SN 8635, ONS Opinions and Lifestyle Survey, Covid-19 Module, 2020-2022: Secure Access. From August 2021, as coronavirus (COVID-19) restrictions were lifting across Great Britain, the OPN moved to fortnightly data collection, sampling around 5,000 households in each survey wave to ensure the survey remains sustainable. The OPN has since expanded to include questions on other topics of national importance, such as health and the cost of living. For more information about the survey and its methodology, see the ONS OPN Quality and Methodology Information webpage.Secure Access Opinions and Lifestyle Survey dataOther Secure Access OPN data cover modules run at various points from 1997-2019, on Census religion (SN 8078), cervical cancer screening (SN 8080), contact after separation (SN 8089), contraception (SN 8095), disability (SNs 8680 and 8096), general lifestyle (SN 8092), illness and activity (SN 8094), and non-resident parental contact (SN 8093). See Opinions and Lifestyle Survey: Secure Access for details. Main Topics:Each month's questionnaire consists of two elements: core questions, covering demographic information, are asked each month together with non-core questions that vary from month to month. The non-core questions for this month were: SunSmart (Module 327): this module was asked on behalf of Cancer Research UK to find out whether respondents had heard of SunSmart 2002 and what the main messages of the campaign were. This module has been run since February 2003 to monitor awareness levels pre and post-campaign. Financial capability (Module 336): the purpose of this module was to gain a general view of how respondents who have a mortgage or rent their property would cope with a change to their circumstances, such as an increase to their mortgage or rent payment or a rise in interest rates. It also asks all respondents about type and amount of debt and how the individual or family who have a mortgage or rent their property would cope with 'shock' changes to income. Disability monitoring (Module 363): the Special Licence version of this module is held under SN 6470. Use of HRT (Module 368): the National Health Service is interested in women's use of cancer screening services, in particular breast cancer screening and cervical cancer screening. The module also asks about the use of hormone replacement therapy (HRT). Road accidents (Module MAU): this module was asked on behalf of the Department for Transport which is interested in finding out about road accidents that people have been involved in. Travel horizons (Module MAV): this module was asked on behalf of the Department for Transport which is interested in groups of people who are less likely than others to travel and how this relates to work patterns and finding work. Multi-stage stratified random sample Face-to-face interview 2006 ADULTS AGE BREAST SCREENING BUSES BUSINESS OWNERSHIP BUSINESSES CARS CERVICAL SMEARS CHILDREN COHABITATION COMMUNITIES COMMUTING CONTRACEPTIVE DEVICES CREDIT CARD USE CYCLISTS DEBTS DISABILITIES ECONOMIC ACTIVITY EDUCATIONAL BACKGROUND EDUCATIONAL CERTIFI... EDUCATIONAL STATUS EMPLOYEES EMPLOYERS EMPLOYMENT EMPLOYMENT HISTORY EMPLOYMENT PROGRAMMES ETHNIC GROUPS EXPOSURE TO THE SUN FAMILY MEMBERS FINANCIAL COMMITMENTS FULL TIME EMPLOYMENT FURNISHED ACCOMMODA... GENDER General health and ... HEADS OF HOUSEHOLD HOME OWNERSHIP HOME SELLING HORMONE REPLACEMENT... HOUSE PRICES HOUSEHOLDS HOUSING TENURE HYSTERECTOMY ILL HEALTH INCOME INDUSTRIES INJURIES INSOLVENCIES INSURANCE CLAIMS INTEREST RATES Income JOB DESCRIPTION JOB HUNTING LANDLORDS LOANS LOCAL COMMUNITY FAC... MARITAL STATUS MEDICAL CARE MENOPAUSE MORTGAGE ARREARS MORTGAGES MOTORCYCLES Media NATIONAL IDENTITY OCCUPATIONS PARENTS PART TIME EMPLOYMENT PEDESTRIANS PERSONAL DEBT REPAY... POLICE SERVICES PUBLIC HEALTH RISKS PUBLIC INFORMATION PUBLIC TRANSPORT RENTED ACCOMMODATION RENTS ROAD ACCIDENTS ROAD USERS ROAD VEHICLES SAVINGS SHARED HOME OWNERSHIP SKIN CANCER SKIN TYPES SOCIAL HOUSING STATUS IN EMPLOYMENT STUDENT LOANS STUDENTS SUN PROTECTION SUNBATHING SUNBURN SUNTANNING SUPERVISORY STATUS Social behaviour an... Specific diseases TELEVISION TIED HOUSING TRAINS TRANSPORT TRAVEL TRAVELLING TIME Transport and travel UNDERGROUND RAILWAYS UNEMPLOYED UNFURNISHED ACCOMMO... UNWAGED WORKERS Wounds and injuries disorders and medic... property and invest...

Abstract copyright UK Data Service and data collection copyright owner. The Inventing Adulthoods (IA) archive currently consists of qualitative interview transcripts for 30 young people interviewed up to six times. Transcripts for a further 20 young people will be included in the archive in the near future. Inventing Adulthoods is a qualitative longitudinal (QL) study that 'walked alongside' young people as they moved from early teenage years to young adulthood in five contrasting areas of England and Northern Ireland. This dataset showcases the biographical material collected between 1998 and 2004, providing a unique window on many aspects of young people's lives at the turn of the 21st century. The case data for each of these young people comprise biographical data that illustrate change over time in most aspects of their lives: home and family, leisure, education, work, relationships, identity and adulthood. Interview 1: focuses more specifically on moral development Interview 2: includes perceptions of life chances and the future, as well as reflections on the research process Interview 3: if young people had responded to the memory book research method, this involves data based on discussion of the content of the memory book. If not, the content reflects that of Interview 2 Interview 4: includes material on social perceptions and responses to issues of social exclusion and reflections on the research process Interview 5: includes material on perceptions of community, networks and social change Interview 6: includes material on spirituality and responses to the researcher's interpretations of the case narrative The focus for investigation shifted from values, to adulthood, to social capital across these three studies. However, a consistent concern was to investigate agency and the 'reflexive project of self'; values and the construction of adult identity; how the social and material environment in which young people grow up acts to shape the values and identities that they adopt; and the impact of globalisation on the individual. Working with the complexity of young people's accounts, the study focused on the dynamic interplay between the individual, the resources available to them and the structuring effects of time, locality, class and gender. The study also offers considerable methodological potential not only for the further development of prospective QL methodology and biographical and case history approaches but also for application to policy and practice. Further information is available at the project's site, Inventing Adulthoods. In September 2011, the title was shorted to Inventing Adulthoods, 1996-2006 to describe the current data collection. For the third edition (July 2011), 44 semi-structured interview transcripts with 10 new, young female respondents were added to the data collection (5777int108 to 5777int151). Main Topics: Teenagers, young adulthood, growing up. Volunteer sample Face-to-face interview 1996 2006 ACADEMIC ACHIEVEMENT ACHIEVEMENT ADOLESCENCE ADOLESCENTS AGE GROUPS ALCOHOL USE ALCOHOLISM AMPHETAMINES ARTISTIC ACTIVITIES ASIANS ASPIRATION ATTITUDES TO SAVING AUTHORITY BALL GAMES BEREAVEMENT BINGE DRINKING BIRTH CONTROL BROKEN FAMILIES CANNABIS CHILDBIRTH CLASS CONFLICT CLASS CONSCIOUSNESS CLUBS COCAINE COHABITATION COMMUNITIES COMMUNITY IDENTIFIC... COMMUNITY PARTICIPA... CREATIVITY CULTURAL ACTIVITIES CULTURAL BEHAVIOUR CULTURAL PARTICIPATION CULTURAL VALUES CULTURE Community Compulsory and pre ... Conflict DEBTS DECISION MAKING DEPENDENCY RELATION... DISABILITIES DISABLED PERSONS DIVORCE DRINKING BEHAVIOUR DROPPING OUT EDUCATION DRUG ABUSE DRUG SIDE EFFECTS DRUG TRAFFICKING DRUG USE ECSTASY DRUG EDUCATION EDUCATIONAL BACKGROUND EDUCATIONAL CHOICE EDUCATIONAL EXPECTA... EMPLOYMENT ENTERTAINMENT ETHNIC GROUPS ETHNIC MINORITIES EXAMINATIONS EXTENDED FAMILY REL... EXTRACURRICULAR ACT... Education England FAMILIES FAMILY COHESION FAMILY ENVIRONMENT FAMILY INFLUENCE FAMILY MEMBERS FASHION FRIENDS FRIENDSHIP Family life and mar... GENERATIONS AGE GLOBALIZATION Gender and gender r... HEALTH HETEROSEXUAL RELATI... HOBBIES HOLIDAYS HOMELESSNESS HOMOSEXUALITY Health behaviour Health care service... Higher and further ... History Housing IDENTITY ILL HEALTH IMAGE INDIVIDUAL DEVELOPMENT INFIDELITY INTERNAL MIGRATION INTERNET USE INTERPERSONAL ATTRA... INTERPERSONAL INFLU... INTERPERSONAL RELAT... ISLAM JOB HUNTING JOB SEEKER S ALLOWANCE LEADERSHIP LEAVING HOME YOUTH LEISURE TIME ACTIVI... LIFE EVENTS LIFE HISTORIES LISTENING TO MUSIC LONELINESS LOVE LSD DRUG Labour and employment MAGIC MUSHROOMS MALE HOMOSEXUALITY MARRIAGE MARRIAGE DISSOLUTION MASS CULTURE MIDDLE CLASS MORAL VALUES MOTIVATION MUSIC EDUCATION Minorities NATIONAL CULTURES NATIONAL IDENTITY NETWORKING Northern Ireland OCCUPATIONAL CHOICE OCCUPATIONS PARENT CHILD RELATI... PARENTAL DEPRIVATION PARENTAL ENCOURAGEMENT PARENTAL SUPERVISION PARTNERSHIPS PERSONAL PEER GROUP PRESSURE PEER GROUP RELATION... PERFORMANCE PERFORMING ARTS PERSONAL APPEARANCE PERSONAL DEBT REPAY... PERSONAL EFFICACY PERSONAL FASHION GOODS PERSONAL IDENTITY PHYSICAL ACTIVITIES PHYSICAL DISABILITIES PHYSICALLY DISABLED... POVERTY PREMARITAL SEX PRESTIGE PUBLIC IMAGE Political behaviour... QUALIFICATIONS RACE RELATIONS RACIAL PREJUDICE RACISM REGIONAL IDENTITY RELATIVE DEPRIVATION RELIGION RELIGIOUS AFFILIATION RELIGIOUS BEHAVIOUR RELIGIOUS BELIEFS RELIGIOUS EXPERIENCE RESIDENTIAL MOBILITY RESPONSIBILITY RURAL AREAS Religion and values SAFE SEX SAME SEX RELATIONSHIPS SAVINGS SCHOOL DISCIPLINE SCHOOL LEAVING SCHOOL LEAVING AGE SECONDARY EDUCATION SECONDARY SCHOOL LE... SECTARIANISM SELF DISCIPLINE SELF ESTEEM SEX EDUCATION SEXUAL ABSTINENCE SEXUAL AWARENESS SEXUAL BEHAVIOUR SEXUALITY SIBLING RELATIONSHIP SMOKING SOCIAL ACTIVITIES L... SOCIAL ALIENATION SOCIAL ATTITUDES SOCIAL BEHAVIOUR SOCIAL CAPITAL SOCIAL CLASS SOCIAL DISADVANTAGE SOCIAL EXCLUSION SOCIAL INFLUENCE SOCIAL MOBILITY SOCIAL NETWORKS SOCIAL RESPONSIBILITY SOCIAL SUCCESS SOCIAL VALUES SPORT SPOUSES STATE RESPONSIBILITY STUDENT LEISURE STUDENT LOANS STUDENTS STUDENTS COLLEGE SUBCULTURAL GROUPS SUBSTANCE USE SUPERVISION Social and occupati... Social behaviour an... Society and culture Specific social ser... TEETOTALISM TRANSITION FROM SCH... UNDERAGE DRINKING UNDERAGE SEX UNEMPLOYED UNEMPLOYMENT UNEMPLOYMENT BENEFITS URBAN AREAS Unemployment Vocational educatio... WHITE PEOPLE WORKING CLASS YOUNG ADULTS YOUTH YOUTH UNEMPLOYMENT Youth security and peace urban and rural life

Abstract copyright UK Data Service and data collection copyright owner. This study comprises 23 in-depth/unstructured interview transcripts and explores the effects of changing legal regulation between 1983 and 1992 on relations of power within local government. Focusing in particular on housing, education and member relations, the research explores the complex effects of legislation, case law, legal knowledge and legal culture on service delivery, structural arrangements, policy development and relations between municipal actors (councillors, officers and community representatives in particular). The investigators are also interested in the extent to which law became a 'tool' to be deployed within internal municipal conflict and struggles. Why did certain actors use law in this way? When was it so utilised? How does the utilisation of law relate to the deployment of other political resources? The methodology of the project involved case studies in four local authorities with in-depth interviews being undertaken with local officials, councillors and other relevant individuals. Main Topics: The relationship between the law and local government The effects of legislation on housing, education and member relations The use of law in internal municipal conflicts Purposive selection/case studies Face-to-face interview 1983 1992 ABSENTEEISM BULLYING CIVIL AND POLITICAL... CIVIL DISTURBANCES COLLECTIVE BARGAINING COMMUNITY CHARGE COUNCILLORS CRIME AND SECURITY CURRICULUM DISCRIMINATION DRINKING OFFENCES ECONOMIC RESOURCES EDUCATIONAL PLANNIN... EDUCATIONAL PROVISION EDUCATIONAL SYSTEMS... EMPLOYMENT ENVIRONMENTAL PLANNING England GOVERNMENT Government HEALTH PROMOTION HOMOSEXUALITY HOUSING ECONOMICS HOUSING IMPROVEMENT HOUSING POLICY IMMIGRANTS INTERNAL POLITICAL ... INTERNAL POLITICS LABOUR DISPUTES LABOUR LAW LAW LEGAL ADVICE LEGAL PROCEDURE LEGISLATION LOANS LOCAL AUTHORITY BUD... LOCAL EDUCATION AUT... LOCAL GOVERNMENT Legislation and leg... MEMBERS OF PARLIAMENT POLICE SERVICES POLICY MAKING POLITICAL POLITICAL ALLEGIANCE POLITICAL ATTITUDES POLITICS PRIVATIZATION PUBLIC EXPENDITURE REDUNDANCY PAY RELIGION RELIGIOUS BEHAVIOUR RELIGIOUS INSTRUCTION RIGHTS AND PRIVILEGES SEX EDUCATION SOCIAL AND ECONOMIC... SOCIAL HOUSING STRIKES SUBCONTRACTING TRADE UNION MEMBERSHIP TRADE UNION OFFICIALS TRADE UNIONS TRAINING URBAN CENTRES political systems a...