This dataset contains World One Parent Families and Children by Gender of Parent. Data from the United Nations Economic Commission for Europe , Export API data for more datasets to advance energy economics research.

####

Source: UNECE Statistical Database, compiled from national official sources.**Definition:** One parent families are families composed by a lone parent with one or more children.*A child* refers to a blood, step- or adopted son or daughter (regardless of age or marital status) who has usual residence in the household of the parent, and who has no partner or own child(ren) in the same household.**General note:** Data come from population censuses, micro-censuses and household sample surveys, unless otherwise specified.

####

Office of Child Support Enforecment (OCSE) Story Behind the Numbers - Child Support Fact Sheet #3. This fact sheet focuses on data reported in a recent U.S. Census Bureau report, Custodial Mothers and Fathers and Their Child Support: 2011. The data reported are estimated based on a biennial survey of custodial parents, the Child Support Supplement to the Current Population Survey, March/April 2012, co-sponsored by the Office of Child Support Enforcement. The proportion of custodial parents living below poverty line continues to increase in 2011. The report found that 4.2 million custodial parents lived in poverty in 2011, representing 29 percent of all custodial parents, about twice the poverty rate for the total population. These statistics reinforce the essential role that child support services can play in helping low-income families, especially during an economic downturn.

The typical American picture of a family with 2.5 kids might not be as relevant as it once was: In 2023, there was an average of 1.94 children under 18 per family in the United States. This is a decrease from 2.33 children under 18 per family in 1960.

Familial structure in the United States

If there’s one thing the United States is known for, it’s diversity. Whether this is diversity in ethnicity, culture, or family structure, there is something for everyone in the U.S. Two-parent households in the U.S. are declining, and the number of families with no children are increasing. The number of families with children has stayed more or less constant since 2000.

Adoptions in the U.S.

Families in the U.S. don’t necessarily consist of parents and their own biological children. In 2021, around 35,940 children were adopted by married couples, and 13,307 children were adopted by single women.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. The aim of this study was to conduct an experimental outcomes evaluation to examine the impact of adding an evidence-based family strengthening program to reentry services for fathers leaving jail or prison. The program, Strengthening Families Program for Parents and Youth 10-14 (SFP), was tested to see whether it improved family functioning and child well-being among a vulnerable population of reentering fathers with children ages 10-14. Eighty families were randomly assigned to a control group or to the SFP group. Differences in key father, child, and caregiver outcomes were assessed. An implementation evaluation was also conducted to provide clarification and understanding of the outcome evaluation results, and an opportunity to replicate and extend practices that work best with reentering fathers.

Dataset population: Lone-parent households with dependent children where the lone parent is aged 16 to 74

Lone-parent households with dependent children where the lone parent is aged 16 to 74

In most tables, the term 'lone-parent household' is used to describe a household that comprises a lone parent family and no other person. In the alternative household type variable, a lone-parent household is defined as a household that contains at least one lone-parent family but does not contain any married, same-sex civil partnership or cohabiting couples.

A count of the dependent children living in a household. A dependent child is a person aged 0 to 15 in a household (whether or not in a family) or aged 16 to 18 in full-time education and living in a family with his or her parent(s) or grandparent(s). It does not include any children who have a spouse, partner or child living in the household.

Sex

The classification of a person as either male or female.

Number and percentage of children aged 0 to 5 years by consequences encountered by parents and guardians as a result of having difficulty finding an early learning and child care arrangement.

Dataset population: Households

Lone-parent households with dependent children where the lone parent is aged 16 to 74

In most tables, the term 'lone-parent household' is used to describe a household that comprises a lone parent family and no other person. In the alternative household type variable, a lone-parent household is defined as a household that contains at least one lone-parent family but does not contain any married, same-sex civil partnership or cohabiting couples.

A count of the dependent children living in a household. A dependent child is a person aged 0 to 15 in a household (whether or not in a family) or aged 16 to 18 in full-time education and living in a family with his or her parent(s) or grandparent(s). It does not include any children who have a spouse, partner or child living in the household.

Abstract copyright UK Data Service and data collection copyright owner. The Parent Ping research project began in July 2020 and ended in September 2021. The project aimed to document parental life, particular during the pandemic. Participants were recruited via opportunity sampling or via their children's school. Participants downloaded a mobile phone app which asked them roughly three closed survey questions each day. Question topics included: lockdown, home learning (due to school closures), attitudes to vaccination, family life, home-school relationships etc. Demographic data were also collected from each participant including: their age, their gender, the number of children they have, the gender of their children, whether their child has a special educational need and whether their child is eligible to receive free school meals. In the time the project has run, data were collected from roughly 1,200 questions and around 3,000 UK parents. About Parent Ping Parent Ping was created by Education Intelligence, a company that since 2017 has run a daily survey app for teachers in England called Teacher Tapp. When schools closed for the majority of pupils during the 2020 covid pandemic there was a specific need to understand how parents were coping with home educating their children. Education Intelligence were able to secure a small grant from Big Change to replicate the software used to create Teacher Tapp in order to survey parents. The app they built was call Parent Ping. Key features of the app were: It asked questions every day (yes, even Christmas Day) Respondents were able to view aggregated results of the previous day’s questions Respondents were also given a daily read about an aspect of parenting. Parent Ping was live for just over a year, pivotally collecting data during the second national lockdown in early 2021.Data analysisUsers should note that the individual questions are all included together in the variable 'questiontext' and the answers are in the variable 'answertext'. In order to analyse questions separately, data will need to be filtered/subset using the 'questionid' and 'answerid' variables. The data file contains 2,412,976 lines, which means the tab-separated format cannot be viewed successfully in Excel. Volunteer sample Self-administered questionnaire: Computer-assisted (CASI)

This data set in SPSS format was obtained by Dr Tanja Sobko from parent perceptions survey of pre-school children's connectedness to nature and their strengths and difficulties. The data consist of 25 items from the SDQ inventory and 20 items of the Connectedness to Nature Index for Parents of Preschool Children. Analyses were conducted by Prof Gavin Brown, the University of Auckland.

The National Child Development Study (NCDS) is a continuing longitudinal study that seeks to follow the lives of all those living in Great Britain who were born in one particular week in 1958. The aim of the study is to improve understanding of the factors affecting human development over the whole lifespan.

The NCDS has its origins in the Perinatal Mortality Survey (PMS) (the original PMS study is held at the UK Data Archive under SN 2137). This study was sponsored by the National Birthday Trust Fund and designed to examine the social and obstetric factors associated with stillbirth and death in early infancy among the 17,000 children born in England, Scotland and Wales in that one week. Selected data from the PMS form NCDS sweep 0, held alongside NCDS sweeps 1-3, under SN 5565.

Survey and Biomeasures Data (GN 33004):
To date there have been nine attempts to trace all members of the birth cohort in order to monitor their physical, educational and social development. The first three sweeps were carried out by the National Children's Bureau, in 1965, when respondents were aged 7, in 1969, aged 11, and in 1974, aged 16 (these sweeps form NCDS1-3, held together with NCDS0 under SN 5565). The fourth sweep, also carried out by the National Children's Bureau, was conducted in 1981, when respondents were aged 23 (held under SN 5566). In 1985 the NCDS moved to the Social Statistics Research Unit (SSRU) - now known as the Centre for Longitudinal Studies (CLS). The fifth sweep was carried out in 1991, when respondents were aged 33 (held under SN 5567). For the sixth sweep, conducted in 1999-2000, when respondents were aged 42 (NCDS6, held under SN 5578), fieldwork was combined with the 1999-2000 wave of the 1970 Birth Cohort Study (BCS70), which was also conducted by CLS (and held under GN 33229). The seventh sweep was conducted in 2004-2005 when the respondents were aged 46 (held under SN 5579), the eighth sweep was conducted in 2008-2009 when respondents were aged 50 (held under SN 6137) and the ninth sweep was conducted in 2013 when respondents were aged 55 (held under SN 7669).

Four separate datasets covering responses to NCDS over all sweeps are available. National Child Development Deaths Dataset: Special Licence Access (SN 7717) covers deaths; National Child Development Study Response and Outcomes Dataset (SN 5560) covers all other responses and outcomes; National Child Development Study: Partnership Histories (SN 6940) includes data on live-in relationships; and National Child Development Study: Activity Histories (SN 6942) covers work and non-work activities. Users are advised to order these studies alongside the other waves of NCDS.

From 2002-2004, a Biomedical Survey was completed and is available under End User Licence (EUL) (SN 8731) and Special Licence (SL) (SN 5594). Proteomics analyses of blood samples are available under SL SN 9254.

Linked Geographical Data (GN 33497):
A number of geographical variables are available, under more restrictive access conditions, which can be linked to the NCDS EUL and SL access studies.

Linked Administrative Data (GN 33396):
A number of linked administrative datasets are available, under more restrictive access conditions, which can be linked to the NCDS EUL and SL access studies. These include a Deaths dataset (SN 7717) available under SL and the Linked Health Administrative Datasets (SN 8697) available under Secure Access.

Additional Sub-Studies (GN 33562):
In addition to the main NCDS sweeps, further studies have also been conducted on a range of subjects such as parent migration, unemployment, behavioural studies and respondent essays. The full list of NCDS studies available from the UK Data Service can be found on the NCDS series access data webpage.

How to access genetic and/or bio-medical sample data from a range of longitudinal surveys:
For information on how to access biomedical data from NCDS that are not held at the UKDS, see the CLS Genetic data and biological samples webpage.

Further information about the full NCDS series can be found on the Centre for Longitudinal Studies website.

The Parent Migration research project had four aims:

• an investigation of how children fare in educational attainments and behavioural adjustment, following change in family circumstances. This was done for children of the NCDS, making innovative use of multivariate multilevel modelling
• to see which children were likely to be resilient and which vulnerable to which type of change in their social environment
• to provide a systematic statistical backdrop on the population aged 5-16 in 1991, with the child as the unit of observation, taking evidence from the ONS Longitudinal Study (not held at the UKDA). This should show how far the sample of second generation NCDS children were representative of all children in experiencing change in who they live with and where, relating such histories to indicators of their living standards
• an enhancement of the NCDS5 dataset (see SN 5567) by coding and organizing data on migration, making a resource for other researchers. The methods used in the project were entirely quantitative, combining both description and analysis of secondary sources, the ONS Longitudinal Study and the second generation sample of NCDS cohort members and their children aged 5-18

This dataset contains information on the 'address history' of a sub-sample (2,657 members) of the NCDS who provided a mother/child questionnaire in 1991. One third of NCDS members identified to have at least one child old enough to complete maths and reading tests were requested to take part in the survey. Initial work was carried out by the NCDS User Support team as part of the 'Changing Home' project to code postal town data from NCDS5.

For the second edition (August 2008), the serial number has been replaced with a new one, variable Ncdsid. This change has been made for all datasets in the NCDS series. Further information may be found in the ‘CLS Confidentiality and Data Security Review’, included in the documentation.

SA4 based data for Family Composition and Country of Birth of Parents by Age of Dependent Children, in General Community Profile (GCP), 2016 Census. Count of dependent children. Excludes overseas visitors. Includes same-sex couple families. The data is by SA4 2016 boundaries. Periodicity: 5-Yearly. Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For more information visit the data source: http://www.abs.gov.au/census.

SNSA12 - One Parent Family Payments per 100 families with a child under 20 years. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).One Parent Family Payments per 100 families with a child under 20 years...

Dataset for anonymous questionnaire regarding caregiver views of childhood obesity prediction. These data pertain to respondents' views on the causes and prevention of childhood obesity. The questionnaire was distributed online via Qualtrics. Respondents were parents, caregivers, and grandparents of New Zealand-based children aged 5 years and under. Ethical approval for the study and publication of these data was granted by the University of Auckland Human Participants Ethics Committee (#020912).

Abstract copyright UK Data Service and data collection copyright owner.

The Active Lives Children and Young People Survey, which was established in September 2017, provides a world-leading approach to gathering data on how children engage with sport and physical activity. This school-based survey is the first and largest established physical activity survey with children and young people in England. It gives anyone working with children aged 5-16 key insight to help understand children's attitudes and behaviours around sport and physical activity. The results will shape and influence local decision-making as well as inform government policy on the PE and Sport Premium, Childhood Obesity Plan and other cross-departmental programmes. More general information about the study can be found on the Sport England Active Lives Survey webpage and the Active Lives Online website, including reports and data tables.

The Active Lives Children and Young People Survey, 2019-2020 began as the usual school-based survey (i.e. completed at school as part of lessons). From 20 March 2020, schools, colleges and nurseries were closed in the UK due to the COVID-19 pandemic and remained closed until 1 June 2020, when there was a phased reopening for reception, and Years 1 and 6. The Active Lives survey fieldwork in Spring term finished two weeks early before the end of term, in line with the school closures.

Due to the closure of schools, the survey had to be adapted for at home completion. The adaptions involved minor questionnaire changes (e.g. to ensure the wording was appropriate for both the new lockdown situation and to account for the new survey completion method at home) and communication changes. For further details on the changes, please see the accompanying technical report. The circumstances and adaptations resulted in a delay to survey fieldwork re-starting. This means that the data does not cover the full lockdown period, and instead re-starts from mid-May 2020 (when the survey was relaunched). Sample targets were also reduced as a result of the pandemic, resulting in a smaller proportion of summer term responses for 2019-20 when compared to previous years. As part of Sport England’s official publication, an additional Coronavirus report was produced, which outlines changes during the ‘easing restrictions’ phase of lockdown from mid-May to the end of July, comparing the summer term in 2020 with summer 2019. Due to the reduced summer term sample, it is recommended to analyse within term and/or school phase for academic year 2019-20.

The survey identifies how participation varies across different activities and sports, by regions of England, between school types and terms, and between different demographic groups in the population. The survey measures levels of activity (active, fairly active and less active), attitudes towards sport and physical activity, swimming capability, the proportion of children and young people that volunteer in sport, sports spectating, and wellbeing measures such as happiness and life satisfaction. The questionnaire was designed to enable analysis of the findings by a broad range of variables, such as gender, family affluence and school year.

The following datasets have been provided:

1. Main dataset: includes responses from children and young people from school years 3 to 11, as well as responses from parents of children in years 1-2. The parents of children in years 1-2 provide behavioural answers about their child’s activity levels, they do not provide attitudinal information. Using this main dataset, full analyses can be carried out into sports and physical activity participation, levels of activity, volunteering (years 5 to 11), etc. Weighting is required when using this dataset (wt_gross / wt_gross.csplan files are available for SPSS users who can utilise them).
2. Year 1-2 dataset: includes responses from children in school years 1-2 directly, providing their attitudinal responses (e.g. whether they like playing sport and find it easy). Analysis can be carried out into feelings towards swimming, enjoyment for being active, happiness etc. Weighting is required when using this dataset (wt_gross / wt_gross.csplan files are available for SPSS users who can utilise them).
3. Teacher dataset – this .sav file includes response from the teachers at schools selected for the survey. Analysis can be carried out into school facilities available, length of PE lessons, whether swimming lessons are offered, etc. Weighting was formerly not available, however, as Sport England have started to publish the Teacher data, from December 2023 we decide to apply weighting to the data. The Teacher dataset now includes weighting by applying the ‘wt_teacher’ weighting variable.

For further information about the variables available for analysis, and the relevant school years...

Background:
The Millennium Cohort Study (MCS) is a large-scale, multi-purpose longitudinal dataset providing information about babies born at the beginning of the 21st century, their progress through life, and the families who are bringing them up, for the four countries of the United Kingdom. The original objectives of the first MCS survey, as laid down in the proposal to the Economic and Social Research Council (ESRC) in March 2000, were:

• to chart the initial conditions of social, economic and health advantages and disadvantages facing children born at the start of the 21st century, capturing information that the research community of the future will require
• to provide a basis for comparing patterns of development with the preceding cohorts (the National Child Development Study, held at the UK Data Archive under GN 33004, and the 1970 Birth Cohort Study, held under GN 33229)
• to collect information on previously neglected topics, such as fathers' involvement in children's care and development
• to focus on parents as the most immediate elements of the children's 'background', charting their experience as mothers and fathers of newborn babies in the year 2000, recording how they (and any other children in the family) adapted to the newcomer, and what their aspirations for her/his future may be
• to emphasise intergenerational links including those back to the parents' own childhood
• to investigate the wider social ecology of the family, including social networks, civic engagement and community facilities and services, splicing in geo-coded data when available

Additional objectives subsequently included for MCS were:

• to provide control cases for the national evaluation of Sure Start (a government programme intended to alleviate child poverty and social exclusion)
• to provide samples of adequate size to analyse and compare the smaller countries of the United Kingdom, and include disadvantaged areas of England

Further information about the MCS can be found on the Centre for Longitudinal Studies web pages.

The content of MCS studies, including questions, topics and variables can be explored via the CLOSER Discovery website.

The first sweep (MCS1) interviewed both mothers and (where resident) fathers (or father-figures) of infants included in the sample when the babies were nine months old, and the second sweep (MCS2) was carried out with the same respondents when the children were three years of age. The third sweep (MCS3) was conducted in 2006, when the children were aged five years old, the fourth sweep (MCS4) in 2008, when they were seven years old, the fifth sweep (MCS5) in 2012-2013, when they were eleven years old, the sixth sweep (MCS6) in 2015, when they were fourteen years old, and the seventh sweep (MCS7) in 2018, when they were seventeen years old. End User Licence versions of MCS studies:
The End User Licence (EUL) versions of MCS1, MCS2, MCS3, MCS4, MCS5, MCS6 and MCS7 are held under UK Data Archive SNs 4683, 5350, 5795, 6411, 7464, 8156 and 8682 respectively. The longitudinal family file is held under SN 8172.

Sub-sample studies:
Some studies based on sub-samples of MCS have also been conducted, including a study of MCS respondent mothers who had received assisted fertility treatment, conducted in 2003 (see EUL SN 5559). Also, birth registration and maternity hospital episodes for the MCS respondents are held as a separate dataset (see EUL SN 5614).


How to access genetic and/or bio-medical sample data from a range of longitudinal surveys:
For information on how to access biomedical data from MCS that are not held at the UKDS, see the CLS Genetic data and biological samples webpage.

Secure Access datasets:
Secure Access versions of the MCS have more restrictive access conditions than versions available under the standard End User Licence or Special Licence (see 'Access data' tab above).

Secure Access versions of the MCS include:

• detailed sensitive variables not available under EUL. These have been grouped thematically and are held under SN 8753 (socio-economic, accommodation and occupational data), SN 8754 (self-reported health, behaviour and fertility), SN 8755 (demographics, language and religion) and SN 8756 (exact participation dates). These files replace previously available studies held under SNs 8456 and 8622-8627
  
• detailed geographical identifier files which are grouped by sweep held under SN 7758 (MCS1), SN 7759 (MCS2), SN 7760 (MCS3), SN 7761 (MCS4), SN 7762 (MCS5 2001 Census Boundaries), SN 7763 (MCS5 2011 Census Boundaries), SN 8231 (MCS6 2001 Census Boundaries), SN 8232 (MCS6 2011 Census Boundaries), SN 8757 (MCS7), SN 8758 (MCS7 2001 Census Boundaries) and SN 8759 (MCS7 2011 Census Boundaries). These files replace previously available files grouped by geography SN 7049 (Ward level), SN 7050 (Lower Super Output Area level), and SN 7051 (Output Area level)
• linked education administrative datasets for Key Stages 1, 2, 4 and 5 held under SN 8481 (England). This replaces previously available datasets for Key Stage 1 (SN 6862) and Key Stage 2 (SN 7712)
  
• linked education administrative datasets for Key Stage 1 held under SN 7414 (Scotland)
• linked education administrative dataset for Key Stages 1, 2, 3 and 4 under SN 9085 (Wales)
  
• linked NHS Patient Episode Database for Wales (PEDW) for MCS1 – MCS5 held under SN 8302
• linked Scottish Medical Records data held under SNs 8709, 8710, 8711, 8712, 8713 and 8714;
• Banded Distances to English Grammar Schools for MCS5 held under SN 8394
• linked Health Administrative Datasets (Hospital Episode Statistics) for England for years 2000-2019 held under SN 9030
• linked Health Administrative Datasets (SAIL) for Wales held under SN 9310
  
• linked Hospital of Birth data held under SN 5724.

The linked education administrative datasets held under SNs 8481,7414 and 9085 may be ordered alongside the MCS detailed geographical identifier files only if sufficient justification is provided in the application. Users are also only allowed access to either 2001 or 2011 of Geographical Identifiers Census Boundaries studies. So for MCS5 either SN 7762 (2001 Census Boundaries) or SN 7763 (2011 Census Boundaries), for the MCS6 users are only allowed either SN 8231 (2001 Census Boundaries) or SN 8232 (2011 Census Boundaries); and the same applies for MCS7 so either SN 8758 (2001 Census Boundaries) or SN 8759 (2011 Census Boundaries).

Researchers applying for access to the Secure Access MCS datasets should indicate on their ESRC Accredited Researcher application form the EUL dataset(s) that they also wish to access (selected from the MCS Series Access web page).

The Millennium Cohort Study: Linked Health Administrative Data (Scottish Medical Records), Scottish Birth Records, 2000-2002: Secure Access includes data files from the NHS Digital Hospital Episode Statistics database for those cohort members who provided consent to health data linkage in the Age 50 sweep, and had ever lived in Scotland. The Scottish Medical Records database contains information about all hospital admissions in Scotland. This study concerns the Scottish Birth Records.

Other datasets are available from the Scottish Medical Records database, these include:

• Child Health Reviews (CHR) held under SN 8709
• Prescribing Information System (PIS) held under SN 8710
• Scottish Immunisation and Recall System

This dataset provides Census 2021 estimates that classify usual residents aged 16 years and over in families with dependent children in England and Wales by family status, by number of parents working, and by economic activity status. The estimates are as at Census Day, 21 March 2021.

As Census 2021 was during a unique period of rapid change, take care when using this data for planning purposes. Read more about this quality notice.

As Census 2021 was during a unique period of rapid change, take care when using this data for planning purposes. Read more about this quality notice.

Area type

Census 2021 statistics are published for a number of different geographies. These can be large, for example the whole of England, or small, for example an output area (OA), the lowest level of geography for which statistics are produced.

For higher levels of geography, more detailed statistics can be produced. When a lower level of geography is used, such as output areas (which have a minimum of 100 persons), the statistics produced have less detail. This is to protect the confidentiality of people and ensure that individuals or their characteristics cannot be identified.

Coverage

Census 2021 statistics are published for the whole of England and Wales. Data are also available in these geographic types:

• country - for example, Wales
• region - for example, London
• local authority - for example, Cornwall
• health area – for example, Clinical Commissioning Group
• statistical area - for example, MSOA or LSOA

Family status by workers in generation 1

Classifies parents aged 16 years and over with dependent children in the family, by family status, the number of parents working, and economic activity.

Economic activity status

People aged 16 years and over are economically active if, between 15 March and 21 March 2021, they were:

• in employment (an employee or self-employed)
• unemployed, but looking for work and could start within two weeks
• unemployed, but waiting to start a job that had been offered and accepted

It is a measure of whether or not a person was an active participant in the labour market during this period. Economically inactive are those aged 16 years and over who did not have a job between 15 March to 21 March 2021 and had not looked for work between 22 February to 21 March 2021 or could not start work within two weeks.

The census definition differs from International Labour Organization definition used on the Labour Force Survey, so estimates are not directly comparable.

This classification splits out full-time students from those who are not full-time students when they are employed or unemployed. It is recommended to sum these together to look at all of those in employment or unemployed, or to use the four category labour market classification, if you want to look at all those with a particular labour market status.

Performance metrics for by year No. of Children Referred to Family Support Services by Parent/Guardian

Abstract copyright UK Data Service and data collection copyright owner.

The Avon Longitudinal Study of Parents and Children (ALSPAC, and also known as the 'Children of the 90s' study), which is based at the University of Bristol, is an ongoing longitudinal study of a population of children born to mothers resident in one geographic area in England. The overall objectives of the study are to understand the ways in which the physical and social environments interact over time with genetic inheritance to affect health, behaviour and development in infancy, childhood and then into adulthood. Information has been collected at regular and frequent intervals from pregnancy and throughout childhood concerning the child's physical environments, parental characteristics (including economic and educational indicators), social circumstances, and family relationships. ALSPAC recruited more than 14,000 pregnant women with estimated dates of delivery between April 1991 and December 1992, who were living in the Avon Health Authority area, to take part in the study. These women, the children arising from the index pregnancy and the women's partners have been followed up since then and detailed data collected throughout childhood.

The datasets held at the UKDA are sampler datasets, and have been compiled using various questionnaire and assessment data from the ALSPAC study. Further information may be found in the documentation, and for the wider study, on the ALSPAC web site.


Main Topics:

The ALSPAC study collects data using a variety of methods, including:

• self-completion questionnaires completed by the child's mother
• self-completion questionnaires completed by the mother’s partner
• assays of biological samples, including genetics
• medical records
• educational records
• information from teachers and head teachers
• self-completion questionnaires completed by the study child
• hands-on assessments

For the UKDA sampler datasets I-IV and VI (covering household, neighbourhood, housing, social/economic and employment/occupational information), data from the mothers' and partners' questionnaires were used, and for dataset V (height), data from the hands-on assessments were included. These files include data gathered between 1990 and 2003 only.

Further details may be found in the documentation, and the ALSPAC questionnaires may be found on the study web site.

The American Community Survey Education Tabulation (ACS-ED) is a custom tabulation of the ACS produced for the National Center of Education Statistics (NCES) by the U.S. Census Bureau. The ACS-ED provides a rich collection of social, economic, demographic, and housing characteristics for school systems, school-age children, and the parents of school-age children. In addition to focusing on school-age children, the ACS-ED provides enrollment iterations for children enrolled in public school. The data profiles include percentages (along with associated margins of error) that allow for comparison of school district-level conditions across the U.S. For more information about the NCES ACS-ED collection, visit the NCES Education Demographic and Geographic Estimates (EDGE) program at: https://nces.ed.gov/programs/edge/Demographic/ACSAnnotation values are negative value representations of estimates and have values when non-integer information needs to be represented. See the table below for a list of common Estimate/Margin of Error (E/M) values and their corresponding Annotation (EA/MA) values.All information contained in this file is in the public domain. Data users are advised to review NCES program documentation and feature class metadata to understand the limitations and appropriate use of these data. -9 An '-9' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small. -8 An '-8' means that the estimate is not applicable or not available. -6 A '-6' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution. -5 A '-5' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. -3 A '-3' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate. -2 A '-2' entry in the margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.

SCA47 - Children Living in a Single Parent Family Unit. Published by Department of Children, Equality, Disability, Integration and Youth. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Children Living in a Single Parent Family Unit...