Total number of young adults aged 15 to 34 years and total number of young adults aged 20 to 34 years in the UK living with their parents.

Families and children in the UK by family type including married couples, cohabiting couples and lone parents. Also shows household size and people living alone.

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.

Families of tax filers; Census families by age of older partner or parent and number of children (final T1 Family File; T1FF).

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

Economic activity

Economic activity relates to whether or not a person who was aged 16 and over was working or looking for work in the week before census. Rather than a simple indicator of whether or not someone was currently in employment, it provides a measure of whether or not a person was an active participant in the labour market.

A person's economic activity is derived from their 'activity last week'. This is an indicator of their status or availability for employment - whether employed, unemployed, or their status if not employed and not seeking employment. Additional information included in the economic activity classification is also derived from information about the number of hours a person works and their type of employment - whether employed or self-employed.

The census concept of economic activity is compatible with the standard for economic status defined by the International Labour Organisation (ILO). It is one of a number of definitions used internationally to produce accurate and comparable statistics on employment, unemployment and economic status.

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.

This table provides information on the number of young people aged 0 to 25 living in a single-parent family, broken down by origin and age. To reflect how young people in the Netherlands are doing, more than 70 topics are described in the National Youth Monitor. The topics are called indicators.

Data available from 2000 to 2023

Status of the figures The figures are final.

Changes as of 23 January 2024: None, this table has been discontinued.

When will there be new figures? No longer applicable.

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.

ABS Census data extract - G08 ANCESTRY BY COUNTRY OF BIRTH OF PARENTS providing a breakdown of population at LGA level and by:ancestry(a)birthplace not stated(b)total responses(c) andother(d)This data is based on place of usual residence.(a) This list of ancestries consists of the most common 30 Ancestry responses reported in the 2016 and 2011 Census. (b) Includes birthplace for either or both parents not stated.(c) This table is a multi-response table and therefore the total responses count will not equal the total persons count.(d) If two responses from one person are categorised in the 'Other' category only one response is counted. Includes ancestries not identified individually and 'Inadequately described'.Please note that 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.

The family is currently in a state of flux. The birthrate today is much lower than in past times. The number of new marriages is declining while the number of young people who stay single increases. Many people live in extramarital life partnerships. These new trends create problems, which politics, administration and various non-governmental organisations such as family relations have to overcome. To make this possible, it is necessary to have reliable information which has been non existent up to now. There has for instance been no statistical data on the number of stepchildren although more and more children affected by their parents divorce grow up with their parents’ new partners. Only with this survey, which asks questions on the existence of parents outside the household, the gap is closed. However, the older generation is also of interest. Little is known about their families. Normally only relatives living in the same household are recorded in the statistics. Therefore, many married couples are labelled childless although their children have only moved out. This makes the question on relatives outside the interviewees’ households necessary. Information on the existence of relatives and contacts with them are also necessary to appraise in how far relatives are or can be included in the care of the increasing number of elderly people. The special program consists of 4 parts: 1. questions on the existence of biological relatives (B 22 and B 23: to all persons) 2. questions on the birth of children (B 24 and B 25: to women over 15 B 26 to B 28: to women between 20 and 40) 3. questions on the moving out from the parents’ household (B 29 and B 30: to all persons between 15 and 60) 4. questions on marriage and divorce (B 31 to B 35: to all married, divorced and widowed persons between 15 and 60)

Employment rate of parents living with dependent children as a couple or lone parent by age of the youngest child in the UK.

Abstract copyright UK Data Service and data collection copyright owner.The Financial Capability Survey is a nationally representative survey of UK residents, commissioned initially in 2005 by the Financial Services Authority and then from 2015 onwards by the Money and Pensions Service (formerly the Money Advice Service), to support the development and delivery of the Financial Capability Strategy for the UK. The Children and Young People's Financial Capability Survey, 2019 is a nationally representative study of the financial knowledge, attitudes, mindsets and behaviours of 7-17 year olds and their parents, living in the UK. A total of 3,745 children and young people and their parents were interviewed as part of this research.Children were asked about: how they get, save and spend money; their attitude to spending, saving and debt; their confidence and understanding about money; and how they recall receiving financial education. Their parents were asked about: their own attitudes and behaviours with money; their attitudes and approaches towards parenting relevant to money; and their view on their child's skills, abilities, attitudes and behaviours with money. The reports published so far from the 2019 survey can be found on the Money and Pensions Service Research webpage (Short Reports) and on the Money Advice Service Contributing Analysis Reports webpage. The 2019 survey updates and builds on the previous 2016 Children and Young People's Financial Capability Survey (not currently held at the UK Data Service) and provides robust measures of children and young people's financial capability across the UK, including separate analysis for each devolved nation. (Reports from the 2016 survey are also available at the web link above.) Main Topics: The survey includes questions around four topics:a. Financially capable behaviours: these are the behaviours that children and young people exhibit or the actions they take. Based on previous analysis, focus is on two key financially capable behaviours: Day to day money management and active saving.b. Financial enablers and inhibitors: these are the things that make financially capable behaviours either easier or more difficult for children and young people to achieve: Connection, e.g. having responsibility for money Mindset, e.g. having a saving mindset and shopping around Ability, e.g. skills and knowledge c. Some external factors, which are also important drivers of financially capable behaviours Financial means, i.e. receiving money, receiving it regularly, how much do they get. Parental influences , i.e. parent sets rules around money d. Demographics and other characteristics: both child and household characteristics including children's social-emotional, cognitive or behavioural skills.

The housing situation of young people in the Federal Republic from one´s own view. Topics: detailed description of the residence; monthly burden or rent costs and additional costs; having a yard; individual room for the children; sense of well-being in one´s own children´s room; disturbing elements in one´s own children´s room; parents or young people selecting furnishings of children´s room; new acquisitions of items of furniture or use of used furniture for the children´s room; objects picked out oneself; persons responsible for cleaning up the children´s room; tasks in household; information on the rooms for eating, doing deskwork, sleeping, making things with one´s hands, playing and doing hobbies; rooms which the young person may not use and in which he is undisturbed; preferred residence floor-plan and preferred style for chairs, tables, desks, beds, closets, shelves and lamps; color preference; persons who also should like the desired room; circle of friends; satisfaction with size of circle of friends; places of contact with circle of friends and visits by friends in one´s own residence; frequency such visits and attitude of mother to visits by friends; judgement of the friends on one´s own room; pet possession; desire for a pet; child-raising style of mother and of father; prohibitions on the part of parents; amount of pocket-money; personal income; orientation of parents on the child; points of conflict in one´s family; judgement on the relationship of parents with each other and to respondent; family climate; judgement on the general political situation in Germany; right of a child to his own room; security rights and furnishing characteristics for a children´s room; sources of information about children´s room furnishings and raising children; vacation with parents; largest and second largest room; secondary use of bedroom and living room; moving frequency. Demography: sex; age of parents; marriage length of parents; residential status; old; school education and vocational training of parents; household income. Interviewer rating: city size; size of residence; number of rooms; residential furnishings; city proximity and age of residence; state; party preference; position in sibling sequence. Beyond this after seeing the children´s room the interviewer provided a detailed description of the room regarding window area, wall composition, floors and pieces of furniture. Die Wohnsituation der Jugendlichen in der Bundesrepublik aus eigener Sicht. Themen: Detaillierte Beschreibung der Wohnung; monatliche Belastung bzw. Mietkosten und Nebenkosten; Gartenbesitz; Einzelzimmer für die Kinder; Wohlfühlen im eigenen Kinderzimmer; störende Elemente im eigenen Kinderzimmer; Eltern oder Jugendlicher als Einrichter des Kinderzimmers; Neuanschaffungen der Einrichtungsgegenstände oder Verwendung von Gebrauchtmöbeln für das Kinderzimmer; selbst ausgesuchte Gegenstände; zuständige Personen für das Aufräumen des Kinderzimmers; Aufgaben im Haushalt; Angabe der Zimmer für Essensaufnahme, Anfertigen von Schreibarbeiten, Schlafen, Basteln, Spielen und Ausüben der Hobbys; Räume, die der Judendlicher nicht nutzen darf und in denen er sich ungestört zurückziehen kann; präferierter Wohnungsgrundriss und präferierter Stil für Stühle, Tische, Schreibtische, Betten, Schränke, Regale und Lampen; Farbpräferenz; Personen, denen das Wunschzimmer auch gefallen sollte; Freundeskreis; Zufriedenheit mit der Größe des Freundeskreises; Kontaktorte für den Freundeskreis und Besuch von Freunden in der eigenen Wohnung; Häufigkeit solcher Besuche und Einstellung der Mutter zum Freundesbesuch; Urteil der Freunde über das eigene Zimmer; Haustierbesitz; Haustierwunsch; Erziehungsstil der Mutter und des Vaters; Verbote von Seiten der Eltern; Taschengeldhöhe; eigenes Einkommen; Orientierung der Eltern auf das Kind; Konfliktpunkte in der Familie; Beurteilung des Verhältnisses der Eltern zueinander und zum Befragten; Familienklima; Beurteilung der allgemeinen politischen Situation in Deutschland; Anspruch eines Kindes auf ein Einzelzimmer; Sicherheitsansprüche und Ausstattungsmerkmale für ein Kinderzimmer; Informationsquellen über Kinderzimmereinrichtungen und über Kindererziehung; Urlaub mit den Eltern; größtes und zweitgrößtes Zimmer; Sekundärnutzung von Schlafzimmer und Wohnzimmer; Umzugshäufigkeit. Demographie: Geschlecht; Alter der Eltern; Ehedauer der Eltern; Wohnstatus; Alter; Schulbildung und Berufsausbildung der Eltern; Haushaltseinkommen. Interviewerrating: Ortsgröße; Wohnungsgröße; Anzahl der Wohnräume; Wohnungsausstattung; Stadtnähe und Alter der Wohnung; Bundesland; Parteifräferenz; Stellung in der Geschwisterreihe. Darüberhinaus wurde vom Interviewer nach einer Besichtigung des Kinderzimmers eine detaillierte Beschreibung des Raumes bezüglich Fensterfläche, Wandbeschaffenheit, Fußboden und Möbelstücke gegeben.

This study complements a survey of schoolchildren conducted in 2015 on behalf of the Council for Cultural Education, in which the central role of parents in the development and promotion of children´s cultural interests was highlighted. Following on from this, this study looks at the importance of cultural education from the parents´ point of view. Among other things, the importance of individual cultural areas for parents was determined in detail, as well as how much time they devote to individual areas themselves and also together with their children, and what importance they attach to the promotion of cultural activities for the development of their children. Other focal points of the survey were investigations into children´s participation in school and extracurricular cultural activities, the assessment of the quality of specific activities for children in their place of residence, and the financial possibilities of parents to support and promote their children in this area. This study shows that many parents believe that cultural education is an important means for children to develop their own personalities. A large majority of mothers and fathers also see it as the basis for their children´s future careers. Cultural education is therefore a significant opportunity to successfully shape one´s own life. However, the prerequisites for this vary greatly from family to family: For children from economically and socio-culturally less well-off families, the preschool offerings in daycare centers and nurseries, as well as school instruction in artistic subjects and areas, are by far the greatest, and in quite a few cases even the only, opportunity to develop their own interest in culture or to expand it. The sample consisted of n= 664 parents, of which 331 are mothers and 333 fathers. Parents with children in the three age groups 3 to 6, 7 to 12, and 13 to 17 were disproportionately included, deviating from their share in the population, in order to be able to analyze mothers and fathers with children in these age groups on a sufficient basis in the sample. In the reporting of summary results, this disproportionality was compensated for by factorial weighting to align with the structural data of official statistics. Die vorliegende Untersuchung ergänzt eine 2015 im Auftrag des Rates für Kulturelle Bildung durchgeführte Befragung von Schülern, in welcher die zentrale Rolle der Eltern bei der Herausbildung und Förderung kultureller Interessen von Kindern herausgearbeitet worden war. Daran anknüpfend beschäftigt sich diese Studie mit der Bedeutung Kultureller Bildung aus Sicht der Eltern. Detailliert wurde unter anderem ermittelt, welche Bedeutung einzelne Kulturbereiche für die Eltern haben, wie viel Zeit sie sich selbst und auch zusammen mit ihren Kindern für einzelne Bereiche nehmen und welche Bedeutung sie der Förderung kultureller Aktivitäten für die Entwicklung ihrer Kinder beimessen. Weitere Schwerpunkte der Untersuchung waren Ermittlungen zur Teilnahme der Kinder an schulischen und außerschulischen kulturellen Angeboten, zur Einschätzung der Qualität spezifischer Angebote für Kinder am Wohnort und zu den finanziellen Möglichkeiten der Eltern zur Unterstützung und Förderung ihrer Kinder in diesem Bereich. Kulturelle Bildung – so zeigt es diese Studie – ist nach Ansicht vieler Eltern ein wichtiges Mittel für Kinder, um die eigene Persönlichkeit herauszubilden. Auch gilt sie einer großen Mehrheit der Mütter und Väter als Grundlage ihrer Kinder für das spätere Berufsleben. Kulturelle Bildung ist mithin eine bedeutsame Chance, den eigenen Lebensweg erfolgreich zu gestalten. Jedoch unterscheiden sich die Voraussetzungen dazu in den Familien stark: Für Kinder aus ökonomisch und soziokulturell schlechter ausgestatteten Familien, sind die vorschulischen Angebote in den Krippen und Kindertagesstätten, sowie der schulische Unterricht in den künstlerischen Fächern und Bereichen, die mit Abstand größte, in nicht wenigen Fällen sogar einzige Chance, ein eigenes Kulturinteresse zu entwickeln oder dieses zu erweitern. Die Stichprobe setzte sich aus n= 664 Eltern zusammen, davon sind 331 Mütter und 333 Väter. Eltern mit Kindern in den drei Altersgruppen 3 bis 6, 7 bis 12 und 13 bis 17 Jahre wurden abweichend von ihrem Anteil in der Grundgesamtheit disproportional berücksichtigt, um Mütter und Väter mit Kindern dieser Altersgruppen auf ausreichender Basis in der Stichprobe analysieren zu können. Bei der Ausweisung von zusammenfassenden Ergebnissen wurde diese Disproportionalität zur Angleichung an die Strukturdaten der amtlichen Statistik durch eine faktorielle Gewichtung ausgeglichen.

Persons living with their parents or contributing/benefiting from the household income (population aged 18 to 34 years)

The PATH Study was launched in 2011 to inform the Food and Drug Administration's regulatory activities under the Family Smoking Prevention and Tobacco Control Act (TCA). The PATH Study is a collaboration between the National Institute on Drug Abuse (NIDA), National Institutes of Health (NIH), and the Center for Tobacco Products (CTP), Food and Drug Administration (FDA). The study sampled over 150,000 mailing addresses across the United States to create a national sample of people who use or do not use tobacco. 45,971 adults and youth constitute the first (baseline) wave, Wave 1, of data collected by this longitudinal cohort study. These 45,971 adults and youth along with 7,207 "shadow youth" (youth ages 9 to 11 sampled at Wave 1) make up the 53,178 participants that constitute the Wave 1 Cohort. Respondents are asked to complete an interview at each follow-up wave. Youth who turn 18 by the current wave of data collection are considered "aged-up adults" and are invited to complete the Adult Interview. Additionally, "shadow youth" are considered "aged-up youth" upon turning 12 years old, when they are asked to complete an interview after parental consent. At Wave 4, a probability sample of 14,098 adults, youth, and shadow youth ages 10 to 11 was selected from the civilian, noninstitutionalized population (CNP) at the time of Wave 4. This sample was recruited from residential addresses not selected for Wave 1 in the same sampled Primary Sampling Unit (PSU)s and segments using similar within-household sampling procedures. This "replenishment sample" was combined for estimation and analysis purposes with Wave 4 adult and youth respondents from the Wave 1 Cohort who were in the CNP at the time of Wave 4. This combined set of Wave 4 participants, 52,731 participants in total, forms the Wave 4 Cohort. At Wave 7, a probability sample of 14,863 adults, youth, and shadow youth ages 9 to 11 was selected from the CNP at the time of Wave 7. This sample was recruited from residential addresses not selected for Wave 1 or Wave 4 in the same sampled PSUs and segments using similar within-household sampling procedures. This "second replenishment sample" was combined for estimation and analysis purposes with the Wave 7 adult and youth respondents from the Wave 4 Cohorts who were at least age 15 and in the CNP at the time of Wave 7. This combined set of Wave 7 participants, 46,169 participants in total, forms the Wave 7 Cohort. Please refer to the Restricted-Use Files User Guide that provides further details about children designated as "shadow youth" and the formation of the Wave 1, Wave 4, and Wave 7 Cohorts. Dataset 0002 (DS0002) contains the data from the State Design Data. This file contains 7 variables and 82,139 cases. The state identifier in the State Design file reflects the participant's state of residence at the time of selection and recruitment for the PATH Study. Dataset 1011 (DS1011) contains the data from the Wave 1 Adult Questionnaire. This data file contains 2,021 variables and 32,320 cases. Each of the cases represents a single, completed interview. Dataset 1012 (DS1012) contains the data from the Wave 1 Youth and Parent Questionnaire. This file contains 1,431 variables and 13,651 cases. Dataset 1411 (DS1411) contains the Wave 1 State Identifier data for Adults and has 5 variables and 32,320 cases. Dataset 1412 (DS1412) contains the Wave 1 State Identifier data for Youth (and Parents) and has 5 variables and 13,651 cases. The same 5 variables are in each State Identifier dataset, including PERSONID for linking the State Identifier to the questionnaire and biomarker data and 3 variables designating the state (state Federal Information Processing System (FIPS), state abbreviation, and full name of the state). The State Identifier values in these datasets represent participants' state of residence at the time of Wave 1, which is also their state of residence at the time of recruitment. Dataset 1611 (DS1611) contains the Tobacco Universal Product Code (UPC) data from Wave 1. This data file contains 32 variables and 8,601 cases. This file contains UPC values on the packages of tobacco products used or in the possession of adult respondents at the time of Wave 1. The UPC values can be used to identify and validate the specific products used by respondents and augment the analyses of the characteristics of tobacco products used

This dataset contains counts of live births for California counties based on information entered on birth certificates. Final counts are derived from static data and include out of state births to California residents, whereas provisional counts are derived from incomplete and dynamic data. Provisional counts are based on the records available when the data was retrieved and may not represent all births that occurred during the time period.

The final data tables include both births that occurred in California regardless of the place of residence (by occurrence) and births to California residents (by residence), whereas the provisional data table only includes births that occurred in California regardless of the place of residence (by occurrence). The data are reported as totals, as well as stratified by parent giving birth's age, parent giving birth's race-ethnicity, and birth place type. See temporal coverage for more information on which strata are available for which years.

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. Due to the closure of school sites during the coronavirus pandemic, the Active Lives Children and Young People survey was adapted to allow at-home completion. This approach was retained into the academic year 2022-23 to help maximise response numbers. The at-home completion approach was actively offered for secondary school pupils, and allowed but not encouraged for primary pupils. The adaptions involved minor questionnaire changes (e.g., to ensure the wording was appropriate for those not attending school and enabling completion at home) and communication changes. For further details on the survey changes, please see the accompanying User Guide document. Academic years 2020-21, 2021-22 and 2022-23 saw a more even split of responses by term across the year, compared to 2019-20, which had a reduced proportion of summer term responses due to the disruption caused by Covid-19. 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: this file 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: This file includes responses directly from children in school years 1-2, providing their attitudinal responses (e.g., whether they like playing sport and find it easy). Analysis can also be carried out into feelings towards swimming, enjoyment of 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 file includes responses from the teachers at schools selected for the survey. Analysis can be carried out to determine school facilities available, the length of PE lessons, whether swimming lessons are offered, etc. Since December 2023, Sport England has provided weighting for the teacher data (‘wt_teacher’ weighting variable). For further information, please read the supporting documentation before using the datasets.

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 is a school-based survey (i.e., historically always completed at school as part of lessons). Academic years 2020-2021 and 2019-20 have both been disrupted by the coronavirus pandemic, resulting in school sites being closed to many pupils for some of the year (e.g., during national lockdown periods, and during summer term for 2019-20). Due to the closure of school sites, the Active Lives Children and Young People Survey, 2020-2021 was adapted to allow at-home completion. Despite the disruption, the survey has still received a sufficient volume of responses for analysis. The adaptions involved minor questionnaire changes (e.g., to ensure the wording was appropriate for those not attending school and to enable completion at home), and communication changes. For further details on the survey changes, please see the accompanying User Guide document. Academic year 2020-21 saw a more even split of responses by term across the year, compared to 2019-20 which had a reduced proportion of summer term responses due to the disruption caused by Covid-19. It is recommended to analyse the data within term, as well as at an overall level, because of the changes in termly distribution. 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 – this file 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 – this file include 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 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 asked survey questions, please see the supporting documentation. Please read the documentation before using the datasets. More general information about the study can be found on the Sport England Active Lives Survey webpages.Latest edition informationFor the second edition (January 2024), the Teacher dataset now includes a weighting variable (‘wt_teacher’). Previously, weighting was not available for these data.

In wave 2 of the longitudinal survey New Families in the Netherlands (NFN) we re-approached: (1) parents with minor children who divorced or separated from a cohabiting union after 2009 (main sample); and (2) a control group of cohabiting/married parents (intact families). In addition, we approached a (3) refreshment sample of parents who divorced/separated after 2009. These samples were randomly drawn from Dutch population registers. The second wave took place about three years after the first wave, i.e. in 2015-2016. The aim was to study changes in parent’s legal arrangements (i.e., child residence arrangements) and longer term outcomes for parents and children. In addition, some new topics specific to postdivorce family living were covered. Respondents filled in a web-survey and were sent a paper-and-pencil questionnaire at the final reminder. In total, 2544 parents from the main sample participated, 1336 from the control group of intact families and 920 from the refreshment sample. Researchers using the NFN data are asked to include an acknowledgment and a reference to the codebook (see codebook section 1: Use of data).

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, 2017-2018 commenced during school academic year 2017 / 2018. It ran from autumn term 2017 to summer term 2018 and excludes school holidays. 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 are available: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_set1.csplan).2) Year 1-2 pupil 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_set1.csplan).3) Teacher dataset includes responses 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 asked survey questions, please see the supporting documentation. Please read the documentation before using the datasets. Latest edition informationFor the second edition (January 2024), the Teacher dataset now includes a weighting variable (‘wt_teacher’). Previously, weighting was not available for these data.