Abstract

Young Lives: An International Study of Childhood Poverty is a collaborative project investigating the changing nature of childhood poverty in selected developing countries. The UK’s Department for International Development (DFID) is funding the first three-year phase of the project.

Young Lives involves collaboration between Non Governmental Organisations (NGOs) and the academic sector. In the UK, the project is being run by Save the Children-UK together with an academic consortium that comprises the University of Reading, London School of Hygiene and Tropical Medicine, South Bank University, the Institute of Development Studies at Sussex University and the South African Medical Research Council.

The study is being conducted in Ethiopia, India (in Andhra Pradesh), Peru and Vietnam. These countries were selected because they reflect a range of cultural, geographical and social contexts and experience differing issues facing the developing world; high debt burden, emergence from conflict, and vulnerability to environmental conditions such as drought and flood.

Objectives of the study The Young Lives study has three broad objectives: • producing good quality panel data about the changing nature of the lives of children in poverty. • trace linkages between key policy changes and child poverty • informing and responding to the needs of policy makers, planners and other stakeholders There will also be a strong education and media element, both in the countries where the project takes place, and in the UK.

The study takes a broad approach to child poverty, exploring not only household economic indicators such as assets and wealth, but also child centred poverty measures such as the child’s physical and mental health, growth, development and education. These child centred measures are age specific so the information collected by the study will change as the children get older.

Further information about the survey, including publications, can be downloaded from the Young Lives website.

Geographic coverage

Young Lives is an international study of childhood poverty, involving 12,000 children in 4 countries. - Ethiopia (20 communities in Addis Ababa, Amhara, Oromia, and Southern National, Nationalities and People's Regions) - India (20 sites across Andhra Pradesh and Telangana) - Peru (74 communities across Peru) - Vietnam (20 communities in the communes of Lao Cai in the north-west, Hung Yen province in the Red River Delta, the city of Danang on the coast, Phu Yen province from the South Central Coast and Ben Tre province on the Mekong River Delta)

Analysis unit

Individuals; Families/households

Universe

Location of Units of Observation: Cross-national; Subnational Population: Children aged approximately 1 year old and their households, and children aged 8 years old and their households, in Ethiopia, India (Andhra Pradesh), Peru and Vietnam, in 2002. See documentation for details of the exact regions covered in each country.

Kind of data

Sample survey data [ssd]

Sampling procedure

Purposive selection/case studies

A key need for the study's objectives was to obtain data at different levels - the children, their households, the community in which they resided, as well as at regional and national levels. This need thus determined that children should be selected in geographic clusters rather than randomly selected across the country. There was, however, a much more important reason for recruiting children in clusters - the sites are also intended to provide suitable settings for a range of complementary thematic studies. For example, one or a few sites may be used for a qualitative study designed to achieve a deeper level of understanding of some social issues, either because they are important in that particular place, or because the sites are appropriate locales to investigate a more general concern. The quantitative panel study is seen as the foundation upon which a coherent and interesting range of linked studies can be set up.

Thus the design was decided, in each country, comprising 20 geographic clusters with 100 children sampled in each cluster.

For details on sample design, see the methodological document which is available in the documentation.

Sampling deviation

Ethiopia: 1,999 (1-year-olds), 1,000 (8-year-olds); India: 2,011 (1-year-olds), 1,008 (8-year-olds); Peru: 2,052 (1-year-olds), 714 (8-year-olds); Vietnam: 2,000 (1-year-olds), 1,000 (8-year-olds).

Mode of data collection

Face-to-face interview

Research instrument

Every questionnaire used in the study consists of a 'core' element and a country-specific element, which focuses on issues important for that country.

The core element of the questionnaires consists of the following sections: Core 6-17.9 month old household questionnaire • Section 1: Locating information • Section 2: Household composition • Section 3: Pregnancy, delivery and breastfeeding • Section 4: Child care • Section 5: Child health • Section 6: Caregiver background • Section 7: Livelihoods and time allocation • Section 8: Economic changes • Section 9: Socio-economic status • Section 10: Caregiver psychosocial well-being • Section 11: Social capital • Section 12: Tracking details • Section 13: Anthropometry

Core 7.5-8.5 year old household questionnaire • Section 1: Locating information • Section 2: Household composition • Section 3: Births and deaths • Section 4: Child school • Section 5: Child health • Section 6: Caregiver background • Section 7: Livelihoods and time allocation • Section 8: Economic changes • Section 9: Socio-economic status • Section 10: Child mental health • Section 11: Social capital • Section 12: Tracking details • Section 13: Anthropometry

The communnity questionnaire consists of the following sections: • Section 1: Physical environment • Section 2: Social environment • Section 3: Infrastructure and access • Section 4: Economy • Section 5: Health and education

Youth Unemployment Rate in the United Kingdom decreased to 12.70 percent in April from 12.80 percent in March of 2025. This dataset provides the latest reported value for - United Kingdom Youth Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Contains tabulated outputs on each topic from the Mental Health of Children and Young People in England, 2022: wave 3 follow up to the 2017 survey.

Abstract copyright UK Data Service and data collection copyright owner.

The objectives of the Poverty and Social Exclusion in Northern Ireland, 2002-2003 (PSENI) study were threefold. Firstly, the study aimed to provide a number of different measures of poverty and social exclusion which could be periodically updated. Secondly, it aimed to provide data on the extent to which poverty and social exclusion varied across the dimensions specified in Section 75 of the Northern Ireland Act, 1998. Finally, it aimed to compare poverty levels in Northern Ireland with the results of similar research in Great Britain and the Republic of Ireland.

The research comprised two stages. The first stage explored what people in Northern Ireland considered to be basic necessities, and was conducted via a module fielded in the Northern Ireland Omnibus Survey (the UK Data Archive (UKDA) does not currently hold that series). The second stage of the PSENI project involved a large survey of a representative sample of Northern Ireland households.

Main Topics:

The dataset includes the Omnibus module conducted as the first stage of the research, and household and individual data from the second stage.

The Omnibus file contains data from questions intended to identify what respondents classed as basic necessities. The household and individual surveys collected a range of demographic and social information, and measured the number of households lacking those items identified as necessities in the Omnibus module.

This is the first in a series of follow up reports to the Mental Health and Young People Survey (MHCYP) 2017, exploring the mental health of children and young people in July 2020, during the Coronavirus (COVID-19) pandemic and changes since 2017. Experiences of family life, education and services, and worries and anxieties during the COVID-19 pandemic are also examined. The sample for the Mental Health Survey for Children and Young People, 2020 (MHCYP 2020), wave 1 follow up was based on 3,570 children and young people who took part in the MHCYP 2017 survey, with both surveys also drawing on information collected from parents. Cross-sectional analyses are presented, addressing two primary aims: Aim 1: Comparing mental health between 2017 and 2020 – the likelihood of a mental disorder has been assessed against completion of the Strengths and Difficulties Questionnaire (SDQ) in both years in Topic 1 by various demographics. Aim 2: Describing life during the COVID-19 pandemic - the report examines the circumstances and experiences of children and young people in July 2020 and the preceding months, covering: Family dynamics (Topic 2) Parent and child anxieties about COVID-19, and well-being (Topic 3) Access to education and health services (Topic 4) Changes in circumstances and activities (Topic 5) The data is broken down by gender and age bands of 5 to 10 year olds and 11 to 16 year olds for all categories, and 17 to 22 years old for certain categories, as well as by whether a child is unlikely to have a mental health disorder, possibly has a mental health disorder and probably has a mental health disorder. This study was funded by the Department of Health and Social Care, commissioned by NHS Digital, and carried out by the Office for National Statistics, the National Centre for Social Research, University of Cambridge and University of Exeter. Note: On 21 December 2020 the pdf was amended to ensure that Figure 5.6 was displaying the correct figures from the underlying data table.

United Kingdom UK: Unemployment: Modeled ILO Estimate: Youth: % of Total Labour Force Aged 15-24 data was reported at 12.080 % in 2017. This records a decrease from the previous number of 12.990 % for 2016. United Kingdom UK: Unemployment: Modeled ILO Estimate: Youth: % of Total Labour Force Aged 15-24 data is updated yearly, averaging 14.280 % from Dec 1991 (Median) to 2017, with 27 observations. The data reached an all-time high of 21.290 % in 2011 and a record low of 10.330 % in 2001. United Kingdom UK: Unemployment: Modeled ILO Estimate: Youth: % of Total Labour Force Aged 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s UK – Table UK.World Bank: Employment and Unemployment. Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment.; ; International Labour Organization, ILOSTAT database. Data retrieved in September 2018.; Weighted average; Data up to 2016 are estimates while data from 2017 are projections. National estimates are also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.

The gap between the proportion of 15 year olds eligible for FSM and those not eligible for FSM progressing to HE at age 18.

The youth unemployment rate for those aged between 16 and 24 in the United Kingdom was 14.3 percent in April 2025, compared with 14.2 percent in the previous month. After falling to just 9.2 percent in July 2022, the youth unemployment rate has increased at pace and is almost as high as it was following the COVID-19 pandemic in 2020. Nevertheless, youth unemployment is lower than in the early 2010s, when youth unemployment reached a high of 22.5 percent in November 2011. Almost one million UK youth not in work or education In the fourth quarter of 2024, the number of people aged between 16 and 24 that were not in education, employment, or training (NEET) was 987,000, the highest figure in more than ten years. One of the main reasons for this increase has been the general rise in people being on long-term sick leave since the COVID-19 pandemic, which reached a peak of 2.8 million at the end of 2023. While older adults are still more likely to be on long-term sick, the number of younger workers on long-term sickness has increased more rapidly. In the ten years between 2014 and 2024, the number of 16 to 24-year-olds economically inactive for this reason increased from 138,000 to 271,000. Prospects for youth employment in 2025 Reversing the current trend of increasing youth inactivity is one of the main challenges facing the UK economy in 2025. It is currently unclear if the labor market is equipped to handle this issue, however. Job vacancies, while not at a particularly low level, have been falling for several months since peaking in 2022. UK businesses are also under pressure from an increase in the national insurance they must pay from April 2025 onwards, with taxation being the main external concern of UK businesses at the end of 2024. In this environment, it is uncertain if they will hire more staff, especially younger workers who have spent extended periods of time out of work.

Abstract

The Young Lives survey is an innovative long-term project investigating the changing nature of childhood poverty in four developing countries. The purpose of the project is to improve understanding of the causes and consequences of childhood poverty and examine how policies affect children's well-being, in order to inform the development of future policy and to target child welfare interventions more effectively. The study is being conducted in Ethiopia, India (in Andhra Pradesh), Peru and Vietnam. These countries were selected because they reflect a range of cultural, geographical and social contexts and experience differing issues facing the developing world; high debt burden, emergence from conflict, and vulnerability to environmental conditions such as drought and flood.

The survey consists of three main elements: a child questionnaire, a household questionnaire and a community questionnaire. The household data gathered is similar to other cross-sectional datasets (such as the World Bank's Living Standards Measurement Study). It covers a range of topics such as household composition, livelihood and assets, household expenditure, child health and access to basic services, and education. This is supplemented with additional questions that cover caregiver perceptions, attitudes, and aspirations for their child and the family. Young Lives also collects detailed time-use data for all family members, information about the child's weight and height (and that of caregivers), and tests the children for school outcomes (language comprehension and mathematics). An important element of the survey asks the children about their daily activities, their experiences and attitudes to work and school, their likes and dislikes, how they feel they are treated by other people, and their hopes and aspirations for the future. The community questionnaire provides background information about the social, economic and environmental context of each community. It covers topics such as ethnicity, religion, economic activity and employment, infrastructure and services, political representation and community networks, crime and environmental changes. The Young Lives survey is carried out by teams of local researchers, supported by the Principal Investigator and Data Manager in each country.

Further information about the survey, including publications, can be downloaded from the Young Lives website.

Geographic coverage

Ethiopia - National Coverage India - Andhra Pradesh only Peru - National Coverage Vietnam - National Coverage

Analysis unit

Individuals Families/households Data are also gathered at Community and Mini-Community level.

Universe

Cross-national; Subnational Children aged 12 years old, children aged 19 years old, and the households of both sets, in Ethiopia, India (Andhra Pradesh), Peru and Vietnam. These children were originally interviewed in Rounds 1-3 of the study.

Kind of data

Sample survey data [ssd]

Sampling procedure

Number of units: Ethiopia: 1,875 (12-year-olds), 908 (19-year-olds); India: 1,915 (12-year-olds), 952 (19-year-olds); Peru: 1,902 (12-year-olds), 635 (19-year-olds); Vietnam: 1,932 (12-year-olds), 887 (19-year-olds) More detailed information on survey design and sampling is available at http://www.younglives.org.uk/content/our-research-methods

Mode of data collection

Face-to-face interview; Self-completion

Research instrument

The Older Cohort Household Questionnaire (age 19) includes sections on: - Parental background; Household and child education - Livelihoods and asset framework - Household food and non-food consumption and expenditure - Social capital; Economic changes and recent life history - Socio-economic status

The Older Cohort Child Questionnaire (age 19) includes sections on: - Parents and Caregiver update; Mobility - Subjective well-being - Education - Employment, earnings, and time-use - Feelings and attitudes - Household decision-making - Marital and living arrangements - Fertility; Anthropometry - Health and nutrition

The Older Cohort Cognitive Tests (age 19) includes - Mathematics test - Reading comprehension test

The Older Cohort Self-Administered Questionnaire (age 19) includes sections on: - Relationship with parents - Smoking, Violence, Alcohol, Sexual behaviour (administered in Peru only)

The Younger Cohort Household Questionnaire (age 12) includes sections on:
- Parental background - Household and child education - Livelihoods and asset framework - Household food and non-food consumption and expenditure - Social capital - Economic changes and recent life history - Socio-economic status - Health - Anthropometry (for the study child and a sibling) - Caregiver perceptions and attitudes

The Younger Cohort Child Questionnaire (age 12) includes sections on: - Schooling - Time-us - Health - Social networks - Feelings and attitudes

The Younger Cohort Cognitive Tests (age 12) include: - Peabody Picture Vocabulary Test (administered to the study child and a sibling) - Mathematics test - Reading comprehension test. In Ethiopia and Peru only: a computerised cognitive skill (Executive Functioning) test administered on touch-screen tablet computers for the study child and a younger sibling. In Ethiopia only an additional English and Amharic reading test.

The Community Questionnaire (administered in the main communities where Young Lives children live) includes sections on: - General characteristics of the locality - Social environment - Access to services; Economy - Local prices - Social protection - Educational services - Health services; Migration

The Mini-community questionnaire (administered in communities into which one or study children moved) includes sections on: - General characteristics of the locality - Social environment - Access to Services - Economy - Local prices

Abstract copyright UK Data Service and data collection copyright owner.

The DSS/PSI Programme of Research into Low-Income Families (PRILIF) studied low-income families with dependent children. The study was conducted by the Department of Social Security (DSS) (now the Department for Work and Pensions (DWP)), and the Policy Studies Institute (PSI).

The PRILIF series began in 1991, when a nationally-representative survey of low-income families was undertaken to study the effects of Family Credit on labour market opportunities. The series finished in 2001, and comprised seven waves, deposited at the UK Data Archive (UKDA) in three parts:

• DSS/PSI Programme of Research into Low-Income Families, 1991-1995 (held under SN 3977)
• DSS/PSI Programme of Research into Low-Income Families, 1996 and 1998 (SN 4425)
• DSS/PSI Programme of Research into Low-Income Families, 2001 (SN 5406)

The PRILIF series examined five main policy issues:

• how lone parents could improve their incomes, combining paid work, benefits and maintenance payments
• the effectiveness of child support
• the failure of some families to claim their benefit entitlement
• the persistent dfficulties experienced by some families, especially the lowest paid couples, in maintaining themselves in paid jobs
• the wider effects of the use of income-tested in-work benefits on incentives to work

The main focus of the research was on families on the margins of work and concerned the influence of different sources of income (benefits, maintenance and earnings) on their labour market participation and family welfare.

A similar survey series, the Families and Children Study (held under SN 4427), is also conducted by the DWP.

More information on the PRILIF study, including details of publications, may be found on the PSI web site.


Main Topics:

The 2001 survey concentrated on the children of the families surveyed. Information was gathered from mothers, and from children over 10 years old. Analysis of data for parents and children was structured around three themes: family formation, including new partners, new and existing children; experience of paid work; changes in material well-being.

The project had Four Research Stages

Stage 1 – Global Mapping Exercise Aim: Map and develop typologies of the pandemic’s impact on the food/education/play-leisure nexus, with a focus on young people’s vulnerabilities globally, based on an international, integrative review of research and policy literatures. Stage 2: – National and Regional Mapping (Brazil, South Africa, UK) Aim: Examine key impacts of pandemic-related policy on young people’s access to and adaptations around food, education and play/leisure at the national, regional and local scale. Stage 3: Zooming in on local adaptations of young people in monetary-poor households Aim: In-depth research with professional stakeholders and young people in each case study region, with a focus on incremental and innovative strategies and the impact of those adaptations on everyday survival and recovery. In England, this research took place in Birmingham and the West Midlands. In total, we worked with 87 young people, using qualitative methods such as interviews and visual mapping. The research was co-produced with young people: we worked with a core group of ten young people from Birmingham City Council’s Youth Voice team, who co-designed some of the methods, undertook peer research with some of the young people in our sample, and co-analysed data. Stage 4: Co-design of solutions to foster young people’s recovery and resilience Aim: Co-design solutions with our community of young people and key professionals that will help vulnerable young people to recover and be prepared in the eventuality of future major health and socio-economic crises. In England, this process took place in Birmingham and the West Midlands and involved the same core group discussing the project’s main findings. Through a series of workshops, young people’s recommendations were created and tested with us and a selected group of professional stakeholders.

Stage 1 - Interviews with key organisations working in the food/education/play sector and with children and youth.

The team conducted 32 interviews with key organisations between February and June 2023. The aim was to situate and identify what had been the key impacts of pandemic-related policy towards the food, education, play/leisure nexus of issues facing young people during and after COVID-19, in England. It also sought to examine what policy/programmes/initiatives were developed, and how local places mattered (including home life/household contexts). To do so, we identified representatives from a range of organisations that played a key role in supporting young people and/ or in assessing the impacts of the pandemic on them.

Sampling was done through desk-based research based on a review of national and regional review of the literature and reports and further on snowballing, we identified non-governmental and non-profit organisations that played a key contribution in supporting young people and/or assessing the impact and repercussions of the pandemic on them. Selection of the interviews was made either through their role across the country or because of their contribution at regional and city levels. The number of 30 was considered as commensurate with the methods used in similarly-sized comparative projects of similar scale. This included representatives from the following types of organisations:

• Charities (incl. Foundations and Think-Tanks) working either across England or in specific English regions, and specialized in the following sectors: food education, food policy, food provision (including food banks) and healthy food; education provision, education and digital technology, education policy, education and youth, social mobility and educational disadvantage; play provision, play policy; support to disadvantaged and vulnerable young people. • Not-for profit social enterprises focusing on youth education, youth employment, food and nutrition. • Schools/Colleges. • Private Companies specialized in supporting education organisations and play provision. • Research Institutions with specific expertise in education, food and health and children/young people. • Local and Combined Authorities. • Diocesan and Faith groups. • National networks representing community organisations in the faith and play sector. • Young People Ambassadors.

While looking at England as a whole, we also zoomed on West Midlands/Birmingham. The West Midlands was one of the hardest-hit parts of the UK during COVID-19. The region includes some of the most deprived neighbourhoods and a younger than average population. The intent of the interviews was twofold: 1) to understand each organisation’s response to supporting young people during/after COVID-19, and 2) from the organisation’s views, to identify what adaptations and tactics young people used to deal with the challenges that COVID-19 and associated lockdowns presented. Interview questions focused on the following themes: The role of the organisation and how they engaged with young people, the...

In the United Kingdom (UK), the youth index survey showed that the share of young people who were happy and confident about their emotional well-being has decreased from 2009 to 2024. In 2024, 65 percent of the respondents were confident about their emotional health and 60 percent were happy with their emotional health, compared to 73 and 67 percent who were confident and happy respectively in 2009.

This report contains results from the latest survey of secondary school pupils in England in years 7 to 11 (mostly aged 11 to 15), focusing on smoking, drinking and drug use. It covers a range of topics including prevalence, habits, attitudes, and wellbeing. This survey is usually run every two years, however, due to the impact that the Covid pandemic had on school opening and attendance, it was not possible to run the survey as initially planned in 2020; instead it was delivered in the 2021 school year. In 2021 additional questions were also included relating to the impact of Covid. They covered how pupil's took part in school learning in the last school year (September 2020 to July 2021), and how often pupil's met other people outside of school and home. Results of analysis covering these questions have been presented within parts of the report and associated data tables. It includes this summary report showing key findings, excel tables with more detailed outcomes, technical appendices and a data quality statement. An anonymised record level file of the underlying data on which users can carry out their own analysis will be made available via the UK Data Service later in 2022 (see link below).

It is estimated that disruptions to life caused by the COVID-19 pandemic have led to an increase in the number of children and young people suffering from mental health issues globally. In England one in four children experienced poor mental health in 2022. Social prescribing is gaining traction as a systems-based approach, which builds upon person-centered methods, to refer children and young people with non-clinical mental health issues to appropriate community assets. Recognition of social prescribing benefits for children’s mental health is increasing, yet evidence is limited. Inconsistent terminology and variation of terms used to describe social prescribing practices across the literature hinders understanding and assessment of social prescribing’s impact on children’s mental health. This scoping review thus aims to systematically identify and analyse the various terms, concepts and language used to describe social prescribing with children and young people across the wider health and social care literature base. The scoping review will be undertaken using a six-stage framework which includes: identifying the research question, identifying relevant studies, study selection, charting the data, collating, summarising and reporting the results, and consultation. Electronic databases (MEDLINE, Embase, Cumulative Index to Nursing and Allied Health, PsychInfo, Social Policy Practice, Scopus, Science Direct, Cochrane library and Joanna Briggs), alongside evidence from grey literature, hand search, citation tracking, and use of expert correspondence will be included in the review to ensure published and unpublished literature is captured. Data extraction will be carried out by two reviewers using a predefined form to capture study characteristics, intervention descriptions, outcomes, and key terms used to report social prescribing for children and young people. No formal quality appraisal or risk of bias evaluation will be performed, as this scoping review aims to map and describe the literature. Data will be stored and managed using the Rayaan.ai platform and a critical narrative of the common themes found will be included.

As of the first quarter of 2025, the youth unemployment rate in the UK was highest in London at 18.6 percent, compared with the UK average of 14.2 percent. As of this quarter, Northern Ireland had the lowest youth unemployment rate at just 5.1 percent.

On average, seventeen-year-olds received more pocket money than any other underage children in the United Kingdom (UK) between March 2023 and February 2024. There was a clear correlation between their age and the amount they received, with children aged six collecting less than a third of what a seventeen-year-old would earn each week. The highest-paid chore for kids in the UK was washing the car.

Children and money worldwide The average amount of pocket money of Japanese children did not exactly follow the correlation observed in this statistic about the United Kingdom. In Japan, kids had more money before they reach the age to enroll in elementary school than during their elementary school studies. There are several ways through which children can save money themselves or with the help of their parents. The most common financial instruments for children between eight and 14 years old in the United States were savings accounts and piggy banks. Child poverty Child poverty is a problem affecting a significant share of the population even in developed economies. For example, over a fifth of all children in Germany were at risk of poverty in 2022. Meanwhile, Romania and Bulgaria were, in 2021, some of the countries with the most children at risk of poverty or social exclusion in Central and Eastern Europe. The probability of children finding themselves in these situations can vary within a country depending on their socioeconomic and ethnic background, the region where they live, or whether they are being raised by a single parent or not.

Legacy unique identifier: P01083

Abstract copyright UK Data Service and data collection copyright owner.

The Great Britain Historical Database has been assembled as part of the ongoing Great Britain Historical GIS Project. The project aims to trace the emergence of the north-south divide in Britain and to provide a synoptic view of the human geography of Britain at sub-county scales. Further information about the project is available on A Vision of Britain webpages, where users can browse the database's documentation system online.

The Great Britain Historical GIS Project has also produced digitised boundary data, which can be obtained from the UK Data Service Census Support service. Further information is available at census.ukdataservice.ac.uk

Main Topics:

The Great Britain Historical Database is a large database of British nineteenth and twentieth-century statistics. Where practical the referencing of spatial units has been integrated, data for different dates have been assembled into single tables.

The Great Britain Historical Database currently contains :

• Statistics from the 1861 Census and the Registrar General's reports, 1851-1861
  
• Employment statistics from the census, 1841-1931
  
• Demographic statistics from the census, 1841-1931
  
• Mortality statistics from the Registrar General's reports, 1861-1920
  
• Marriage statistics from the Registrar General's reports, 1841-1870
  
• Trade union statistics for the Amalgamated Society of Engineers (ASE), 1851-1918
  
• Trade union statistics for the Amalgamated Society of Carpenters and Joiners (ASCJ), 1863-1912
  
• Official poor law statistics, 1859-1915 and 1919-1939
  
• Wage statistics, 1845-1906
  
• Hours of work statistics, 1900-1913
  
• Small debt statistics from county courts, 1847-1913 and 1938
  

There are six tables in this part of the Great Britain Historical Database :

Tu_pc holds monthly local unemployment statistics for engineers (January 1902-December 1914), shipbuilders (January 1902-December 1914), printers (February 1902-December 1914) and carpenters and joiners (May 1901-October 1905). For details of the districts used please see the documentation.

Div23_38 holds annual data taken from the official tabulations of the Ministry of Labour's Local Unemployment Index from 1923 to 1938 for eight divisions.

Lui holds quarterly data taken from the official tabulations of the Ministry of Labour's Local Unemployment Index from January 1927 to July 1939.

Lui_gaz provides locational information for the exchange areas listed in lui.

Un_1928 holds information on registered unemployment at labour exchanges for 30th January 1928.

Un_1933 holds information on registered unemployment at labour exchanges for 23rd January 1933.

Please note: this study does not include information on named individuals and would therefore not be useful for personal family history research.

Contains a set of data tables for each part of the Smoking, Drinking and Drug Use among Young People in England, 2021 report

Young people from the Chinese (4.5%) and Indian (7.3%) ethnic groups were less likely than the UK average (11.5%) to be not in employment, education or training.