The purpose of this study was to assess the physical, social, and psychological well-being of American children, to develop a national profile of the way children in the United States live, to permit analysis of the relationships between the conditions of children's lives and measures of child development, and to examine the effects of marital disruption on the development of children and on the operation of single and multi-parent families. Information is provided on the child's well-being, family, experiences with family disruption, behavior, physical health, and mental health.

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 ten 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), the ninth sweep was conducted in 2013 when respondents were aged 55 (held under SN 7669), and the tenth sweep was conducted in 2020-24 when the respondents were aged 60-64 (held under SN 9412).

A Secure Access version of the NCDS is available under SN 9413, containing detailed sensitive variables not available under Safeguarded access (currently only sweep 10 data). Variables include uncommon health conditions (including age at diagnosis), full employment codes and income/finance details, and specific life circumstances (e.g. pregnancy details, year/age of emigration from GB).

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.

Multi-omics Data and Risk Scores Data (GN 33592)
Proteomics analyses were run on the blood samples collected from NCDS participants in 2002-2004 and are available under SL SN 9254. Metabolomics analyses were conducted on respondents of sweep 10 and are available under SL SN 9411.

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.

SN 9412 - National Child Development Study: Age 62, Sweep 10, 2019-2024
The NCDS Age 62 Survey, (or 'Life in Your Early 60s' Survey as known to study members) was conducted between 2019 and 2024 when participants were aged 61-65 years. This sweep was designed and managed by the Centre for Longitudinal Studies (CLS) at the UCL Social Research Institute. Interviewer fieldwork was conducted by NatCen and Verian (formerly Kantar). Health visits were conducted by NatCen and INUVI. The Age 62 Survey involved an interview, a health visit, two paper self-completion questionnaires and an online dietary questionnaire.

The broad aim of the Age 62 Survey was to collect information which would aid the understanding of the lifelong factors affecting retirement and ageing. This survey also had a biomedical focus with physical measurements and assessments being conducted for the first time since the Age 44 biomedical sweep. The data collection built on the extensive data collected previously from birth and across the lifetime of study members and will facilitate comparisons with other generations as they reach the same life stage, allowing for study of social change.

The study was initially planned and designed to be conducted in-person. Fieldwork commenced in January 2020 but was subsequently paused in March 2020 due to the COVID-19 pandemic. As in-person interviewing was not feasible until early 2022, the protocol was adapted so that interviews could be conducted by video-call. Interviewer fieldwork restarted by video call in spring 2021 until April 2022 when it was feasible to return to in-person interviewing. The video mode option continued to be available if requested by a cohort member or was required due to interviewer capacity issues in a particular area.

Once mainstage fieldwork was complete, those who had not participated were invited to complete a short version of the questionnaire via web (known as the ‘mop-up’ survey). Cohort members who completed the survey between January-March 2020, were also invited to take part in the mop-up survey in order establish how their circumstances might have changed since the pandemic. Emigrants were not invited to take part in the main survey but were invited to take part in this short web-survey.

A full account of the survey development and fieldwork procedures can be found in the National Child Development Study technical report and appendices produced by NatCen Social Research, which accompanies this data.

Nationally representative, longitudinal data describing functioning of and services for children who are reported to child protective services

This dataset contains results from the wave 3 survey completed by the twins who were 9 and older about themselves, administered in 2016. This contains measures related to the child's home and school environment, attitudes regarding books, home, school, and friends, and several behavioral surveys (PANAS, CADS, etc.).

The 2015 Child Health, Emotional Wellness, and Development Survey (CHEWDS) was a population-based telephone survey conducted by the Health Department. The survey provided robust data on the health of children aged 0 to 12 years in New York City, including citywide and borough estimates, on a broad range of topics from health care access to nutrition. For more information see EpiQuery, https://a816-health.nyc.gov/hdi/epiquery/visualizations?PageType=ts&PopulationSource=CCHS&Topic=5&Subtopic=26

This survey provides nationally representative estimates on the characteristics, living arrangements, and service accessibility of noninstitutionalized children who were living apart from their parents (in foster care, grandparent care or other nonparental care) and who were aged 0 to 16 years in 2011-2012. Data on the well-being of the children and of their caregivers are also available. The children’s nonparental care status was identified in a previous SLAITS survey, the 2011-2012 National Survey of Children’s Health. Units of Response: Caregiver Type of Data: Survey Tribal Data: No Periodicity: One-time Demographic Indicators: Disability;Ethnicity;Household Income;Household Size;Housing Status;Race;Sex SORN: https://www.federalregister.gov/documents/2022/09/19/2022-20139/privacy-act-of-1974-system-of-records Data Use Agreement: No Data Use Agreement Location: Unavailable Granularity: Household Spatial: United States Geocoding: Unavailable

The National Survey of Child and Adolescent Well-Being (NSCAW) is a nationally representative, longitudinal survey of children and families who have been the subjects of investigation by Child Protective Services. There are currently two cohorts of available data (NSCAW I and NSCAW II) drawn from first-hand reports from children, parents, and other caregivers, as well as reports from caseworkers, teachers, and data from administrative records. NSCAW examines child and family well-being outcomes in detail and seeks to relate those outcomes to experience with the child welfare system and to family characteristics, community environment, and other factors.

Units of Response: Children and Families in the Child Welfare System

Type of Data: Survey

Tribal Data: Unavailable

Periodicity: Irregular

Demographic Indicators: Disability;Ethnicity;Geographic Areas;Household Income;Household Size;Race

SORN: Not Applicable

Data Use Agreement: https://www.ndacan.acf.hhs.gov/datasets/order_forms/termsofuseagreement.pdf

Data Use Agreement Location: https://www.ndacan.acf.hhs.gov/datasets/pdfs_user_guides/IntroNSCAWWave1.pdf

Granularity: Individual

Spatial: United States

Geocoding: Unavailable

Child Dental Health Survey 2013, England, Wales and Northern Ireland The 2013 Children's Dental Health (CDH) Survey, commissioned by the Health and Social Care Information Centre, is the fifth in a series of national children's dental health surveys that have been carried out every ten years since 1973. The 2013 survey provides statistical estimates on the dental health of 5, 8, 12 and 15 year old children in England, Wales and Northern Ireland, using data collected during dental examinations conducted in schools on a random sample of children by NHS dentists and nurses. The survey measures changes in oral health since the last survey in 2003, and provides information on the distribution and severity of oral diseases and conditions in 2013. The survey oversampled schools with high rates of free school meal eligibility to enable comparison of children from lower income families* (children eligible for free school meals in 2013) with other children of the same age, in terms of their oral health, and related perceptions and behaviours*. The 2013 survey dental examination was extended so that tooth decay (dental caries) could be measured across a range of detection thresholds. This reflects the way in which the detection and management of tooth decay has evolved towards more preventive approaches to care, rather than just providing treatment for disease. This survey provides estimates for dental decay across the continuum of caries, including both restorative and preventive care needs*. Complementary information on the children's experiences, perceptions and behaviours relevant to their oral health was collected from parents and 12 and 15 year old children using self-completion questionnaires. The self-completion questionnaire for older children was introduced for the 2013 survey. ---------------------------------------------------------------------- *In 2013 when this survey took place, a free school meal was a statutory benefit available only to school aged children from families who received other qualifying benefits (such as Income Support). *Differences in clinical outcomes between socio-economic groups are likely to reflect different attitudes, behaviours and experiences relevant to oral health that may also be mediated through other demographic characteristics such as ethnicity and country of birth *Estimates from the four detection thresholds measured in the 2013 survey are available in Report 2.

The 2012 National Survey of Early Care and Education (NSECE) is a set of four integrated, nationally representative surveys conducted in 2012. These were surveys of (1) households with children under 13, (2) home-based providers, (3) center-based providers, and (4) the center-based provider workforce. The 2012 NSECE documents the nation's current utilization and availability of early care and education (including school-age care), in order to deepen the understanding of the extent to which families' needs and preferences coordinate well with providers' offerings and constraints. The experiences of low-income families are of special interest as they are the focus of a significant component of early care and education and school-age child care (ECE/SACC) public policy. The 2012 NSECE calls for nationally-representative samples including interviews in all 50 states and Washington, DC. The study is funded by the Office of Planning, Research and Evaluation (OPRE) in the Administration for Children and Families (ACF), United States Department of Health and Human Services. The project team is led by the National Opinion Research Center (NORC) at the University of Chicago, in partnership with Chapin Hall at the University of Chicago and Child Trends. The Quick Tabulation and Public-Use Files are currently available via this site. Restricted-Use Files are also available at three different access levels; to determine which level of file access will best meet your needs, please see the NSECE Data Files Overview for more information. Level 1 Restricted-Use Files are available via the Child and Family Data Archive. To obtain the Level 1 files, researchers must agree to the terms and conditions of the Restricted Data Use Agreement and complete an application via ICPSR's online Data Access Request System. Level 2 and 3 Restricted-Use Files are available via the National Opinion Research Center (NORC). For more information, please see the access instructions for NSECE Levels 2/3 Restricted-Use Data. For additional information about this study, please see: NSECE project page on the OPRE website NSECE study page on NORC's website NSECE Data Users Page For more information, tutorials, and reports related to the National Survey of Early Care and Education, please visit the Child and Family Data Archive's Data Training Resources from the NSECE page.

The School of Education at the University of Cape Town (UCT) investigated children’s learning through digital play. The aim of the study was to explore the intersection between child play, technology, creativity and learning among children aged between 3 and 11 years. The study also identified skills and dispositions children develop through both digital and non-digital play. The data shared emerged from a survey of parents of children in the stated age group, with particular reference to the parents views on children's play practices, including time parents spent playing with their children, concerns parents had on time children spend playing on various technologies, types of play children in South Africa engaged in and the concerns of parents when children played with some electronic devices. The following data files are shared:SA - Survey - Children, Technology and Play (CTAP) - Google Forms.pdfDescriptive Stats 2020.1.9 -Children Technology and Play SURVEY.xlsxParent Survey RAW PUBLIC DATA 2020.2.29 - Children Technology and Play Project.xlsxParent Survey RAW PUBLIC DATA 2020.2.29 - Children Technology and Play Project.csvParent Survey REPORT DATA 2020.2.29 - Children Technology and Play Project.xlsxParent Survey REPORT DATA 2020.2.29 - Children Technology and Play Project.csvParent Survey RAW and REPORT DATA SYNTAX 2020.2.29 - Children Technology and Play Project.spsNOTE: This survey was adapted from Marsh, J. Stjerne Thomsen, B., Parry, B., Scott, F. Bishop, J.C., Bannister, C., Driscoll, A., Margary, T., Woodgate, A., (2019) Children, Technology and Play. UK Survey Questions. LEGO Foundation.

The National Survey of Children's Exposure to Violence (NatSCEV) series involved three rounds of data collection, NatSCEV I (baseline), NatSCEV II, and this study, NatSCEV III. For more information on other parts to the series, please use the following links: NatSCEV I (ICPSR 35203) - http://doi.org/10.3886/ICPSR35203.v1 NatSCEV II (ICPSR 36177) - http://doi.org/10.3886/ICPSR36177.v1 The National Survey of Children's Exposure to Violence III was designed to obtain lifetime and one-year incidence estimates of a comprehensive range of childhood victimizations across gender, race, and developmental stage. Conducted between August 2013 and April 2014, it assessed the experiences of a nationally representative sample of 4,000 children less than 18 years of age living in the contiguous United States (excluding New Hampshire). A short interview was conducted with an adult caregiver (usually a parent) to obtain family demographic information. One child was randomly selected from all eligible children in a household by selecting the child with the most recent birthday. If the selected child was 1 month to 9 years old, the main interview was conducted with the caregiver. If the selected child was 10-17 years old, the main interview was conducted with the child.The NatSCEV III questionnaire was very similar to the previous wave minus the extended family exposure to violence follow-up section that was included in NatSCEV II. The questionnaire asked for household demographics and questions about the focal child's health. A series of 52 juvenile victimization screening questions (JVQ) were asked, and for every screener the respondent endorsed, a series of follow-up questions about that victimization was asked. In addition, the survey included sections on lifetime and past year adversity, internet victimization, community disorder, bullying, delinquency, and the child/parent relationship.

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 ten 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), the ninth sweep was conducted in 2013 when respondents were aged 55 (held under SN 7669), and the tenth sweep was conducted in 2020-24 when the respondents were aged 60-64 (held under SN 9412).

A Secure Access version of the NCDS is available under SN 9413, containing detailed sensitive variables not available under Safeguarded access (currently only sweep 10 data). Variables include uncommon health conditions (including age at diagnosis), full employment codes and income/finance details, and specific life circumstances (e.g. pregnancy details, year/age of emigration from GB).

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.

Multi-omics Data and Risk Scores Data (GN 33592)
Proteomics analyses were run on the blood samples collected from NCDS participants in 2002-2004 and are available under SL SN 9254. Metabolomics analyses were conducted on respondents of sweep 10 and are available under SL SN 9411.

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 National Child Development Study: Biomedical Survey 2002-2004 was funded under the Medical Research Council 'Health of the Public' initiative, and was carried out in 2002-2004 in collaboration with the Institute of Child Health, St George's Hospital Medical School, and NatCen. The survey was designed to obtain objective measures of ill-health and biomedical risk factors in order to address a wide range of specific hypotheses relating to anthropometry: cardiovascular, respiratory and allergic diseases; visual and hearing impairment; and mental ill-health.

The majority of the biomedical data (1,064 variables) are now available under EUL (SN 8731), with some data considered sensitive still available under Special Licence (SN 5594). This decision was the result of the CLS's disclosure assessment of each variable and the broad aim to make as much data available with the lowest possible barriers. Information about the medication taken by the cohort members of the study is also available under EUL for the first time. These data were collected in 2002-2004, but they were never released via the UKDS.

The Special Licence dataset contains 122 variables including new data on child adversity not previously released, as well as a number of original variables that were previously available under Special Licence due to their sensitive nature, such as Clinical Interview Schedule-Revised (CIS-R) specific questions on mental health and questions which contain categories with small frequencies related to personal details such as skin colour, pregnancy, a surgical operation, specific height and unusual high number of children.

For the second edition (December 2020), the data and documentation have been revised. Previously unreleased variables on child adversity have been added and some variables removed as they are now available under EUL. Users are advised to download the EUL version (SN 8731) before deciding to apply for the Special Licence version.

Starting with the Family Support Act of 1988, requirements for federal funding stipulate that child care subsidy rates be informed by market rates. In 1990 the federal government began a major investment in child care with the passage of the Child Care and Development Block Grant Act of 1990. Support of parental choice was a key component of this new block grant program that sent new money to states to support child care. Parental choice and state control of policy remained central when the program was expanded in 1996 as a part of welfare reform legislation. At that time, child care funding became known as the Child Care and Development Fund (CCDF). States are required by the CCDF Final Rule to ensure that families receiving child care assistance have equal access to comparable care purchased by private-paying parents. A market rate survey (MRS) is a tool States use to achieve this program objective. Some States conduct surveys to collect the child care market rate and others use administrative data, such as data collected by child care resource and referral (CCR&R) and State licensing agencies, to analyze the market rate for child care. This survey was one strategy used to collect child care market price data. Comparing findings garnered from different methods allows one to evaluate whether different data collection methods produce different price findings (convergent validity) and how well these data collection methods represent the child care market (criterion-related validity). These data can also be used to explore several validity issues of concern with market price studies. The major areas of investigation in this survey include child care prices by type of care, geographic location, and price mode (hourly, daily, weekly, monthly). Other areas of investigation include capacity by age group, additional fees facilities charge, whether they care for subsidized children, and what affects the prices that they charge parents.

The Head Start Family and Child Experiences Survey (FACES) has been a source of information on the Head Start program and the children and families it serves. The 2019 Head Start Family and Child Experiences Survey, or FACES 2019, is the seventh in a series of national studies of Head Start, with earlier studies conducted in 1997, 2000, 2003, 2006, 2009, and 2014. It includes nationally representative samples of Head Start programs and centers, classrooms, and children and their families during the 2019-2020 program year. Data from surveys of Head Start program and center directors and classroom teachers provide descriptive information about program policies and practices, classroom activities, and the background of Head Start staff. These data compromise the Classroom Study. A sample of these programs also provides data from parent surveys, teacher child reports, and direct child assessments as part of the Classroom + Child Outcomes Study. FACES 2019 is designed to help policymakers address current policy questions and to support programs and practitioners working with Head Start families. According to the study design, FACES would have assessed children's readiness for school, surveyed parents, and asked teachers to provide information on children in both fall 2019 and spring 2020. In response to the COVID-19 (for coronavirus disease 2019) pandemic, however, FACES 2019 cancelled the first piece--the in-person data collection of child assessments in spring 2020. In-person classroom observations as part of the Classroom Study were also cancelled in spring 2020. FACES is designed so that researchers can answer a wide range of research questions that are crucial for aiding program directors and policymakers. FACES 2019 data may be used to describe (1) the quality and characteristics of Head Start programs, teachers, and classrooms; (2) the changes or trends in the quality and characteristics of the classrooms, programs, and staff over time; (3) the school readiness skills and family characteristics of the children who participate in Head Start; (4) the factors or characteristics that predict differences in classroom quality; (5) the changes or trends in the children's outcomes and family characteristics over time; and (6) the factors or characteristics at multiple levels that predict differences in the children's outcomes. The study also supports research questions related to subgroups of interest, such as children with identified disabilities and children who are dual-language learners (DLLs), as well as policy issues that emerge during the study. The study addresses changes in children's outcomes and experiences as well as changes in the characteristics of Head Start classrooms over time and across the rounds of FACES. Some of the questions that are central to FACES include: What are the characteristics of Head Start programs, including structural characteristics and program policies and practices? What are the characteristics and observed quality of Head Start classrooms? What are the characteristics and qualifications of Head Start teachers and management staff? Are the characteristics of programs, classrooms, and staff changing over time? What are the demographic characteristics and home environments of children and families who participate in Head Start? Are family demographic characteristics and aspects of home environments changing over time? How do families make early care and education decisions? What are the experiences of families and children in Head Start? What are the average school readiness skills and developmental outcomes of the population of Head Start children in fall and spring of the Head Start year? What gains do children make during a year of Head Start? Are children's school readiness skills (average skills or average gains in skills) improving over time? Does classroom quality vary by characteristics of classrooms, teachers, or programs? What characteristics of programs, teachers, or classrooms are associated with aspects of classroom quality? Do the school readiness skills of children in fall and spring and their gains in skills vary by child, family, program, and classroom characteristics? What is the association between observed classroom quality and children's school readiness skills? Between child and family characteristics and children's school readiness skills? The User Guide provides d

Descriptive, longitudinal study including direct assessments, classroom observation, parent and teacher interviews, for a nationally represenative sample of Head Start Children

The NYC KIDS Survey is a population-based telephone survey conducted by the Health Department. The survey provides robust data on the health of children aged 13 years or younger (2017: children aged 0-13 years; 2019: children aged 1-13 years) in New York City, including citywide and borough estimates, on a broad range of topics including physical and mental health, health care access, and school and childcare enrollment and learning. For more information, visit https://www1.nyc.gov/site/doh/data/data-sets/child-chs.page

The main objective of the Consumer Education and Parental Choice in Early Care and Education (CEPC) Parent Survey was to collect nationally representative survey data to learn about: Where parents look for and find information about child care and early education (CCEE) How parents living in a household with young children assess the people, places, or sources that may offer CCEE information What types of CCEE information parents look for How parents use information to select CCEE One of the goals of the survey was to gather information that may be used by child care Lead Agencies to inform their consumer education (CE) efforts. The CEPC Parent Survey aimed to expand the field's understanding of the types of information parents look for and where they get information. The information collected through the survey is descriptive and is not intended to assess the effectiveness or impact of CE strategies.

This data collection is comprised of responses from the March and April installments of the 2006 Current Population Survey (CPS). Both the March and April surveys used two sets of questions, the basic CPS and a separate supplement for each month.The CPS, administered monthly, is a labor force survey providing current estimates of the economic status and activities of the population of the United States. Specifically, the CPS provides estimates of total employment (both farm and nonfarm), nonfarm self-employed persons, domestics, and unpaid helpers in nonfarm family enterprises, wage and salaried employees, and estimates of total unemployment.In addition to the basic CPS questions, respondents were asked questions from the March supplement, known as the Annual Social and Economic (ASEC) supplement. The ASEC provides supplemental data on work experience, income, noncash benefits, and migration. Comprehensive work experience information was given on the employment status, occupation, and industry of persons 15 years old and older. Additional data for persons 15 years old and older are available concerning weeks worked and hours per week worked, reason not working full time, total income and income components, and place of residence on March 1, 2005. The March supplement also contains data covering nine noncash income sources: food stamps, school lunch program, employer-provided group health insurance plan, employer-provided pension plan, personal health insurance, Medicaid, Medicare, CHAMPUS or military health care, and energy assistance. Questions covering training and assistance received under welfare reform programs, such as job readiness training, child care services, or job skill training were also asked in the March supplement.Respondents were asked supplemental questions in April about the economic situation of persons and families for the previous year. All household members 15 years of age and older that are a biological parent of children in the household from an absent parent were asked detailed questions about child support and alimony. Information regarding child support was collected to determine the size and distribution of the population with children affected by divorce or separation, or other relationship status change. Moreover, the data were collected to better understand the characteristics of persons requiring child support, and to help develop and maintain programs designed to assist in obtaining child support. These data highlight alimony and child support arrangements made at the time of separation or divorce, amount of payments actually received, and value and type of any property settlement.The April supplement data were matched to March supplement data for households that were in the sample in both March and April 2006. In March 2006, there were 4,635 household members eligible, of which 1,453 required imputation of child support data. When matching the March 2006 and April 2006 data sets, there were 190 eligible people on the March file that did not match to people on the April file. Child support data for these 190 people were imputed. The remaining 1,263 imputed cases were due to nonresponse to the child support questions. Demographic variables include age, sex, race, Hispanic origin, marital status, veteran status, educational attainment, occupation, and income. Data on employment and income refer to the preceding year, although other demographic data refer to the time at which the survey was administered.