Families of tax filers; Census families with children by age of children and children by age groups (final T1 Family File; T1FF).

Percent of Children Living in Families Where No Parent Has Full-Time, Year-Round Employment is the share of all children under age 18 living in families where no parent has regular, full-time employment. For children living in single-parent families, this means that the resident parent did not work at least 35 hours per week, at least 50 weeks in the 12 months prior to the survey. For children living in married-couple families, this means that neither parent worked at least 35 hours per week, at least 50 weeks in the 12 months prior to the survey. Children living with neither parent also were listed as not having secure parental employment because those chil- dren are likely to be economically vulnerable. SOURCE: * U.S. Census Bureau, American Community Survey.

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 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.

Estimated number of persons on July 1, by 5-year age groups and gender, and median age, for Canada, provinces and territories.

The Young Lives survey is an innovative long-term project investigating the changing nature of childhood poverty in four developing countries. The purpose of the project is to improve understanding of the causes and consequences of childhood poverty and examine how policies affect children's well-being, in order to inform the development of future policy and to target child welfare interventions more effectively.

The objectives of the study are to provide good quality long-term data about the lives of children living in poverty, trace linkages between key policy changes and child welfare, and inform and respond to the needs of policymakers, planners and other stakeholders. Research activities of the project include the collection of data on a set of child welfare outcomes and their determinants and the monitoring of changes in policy, in order to explore the links between the policy environment and outcomes for children.

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

The Young Lives study aims to track the lives of 12,000 children over a 15-year period. This is the time-frame set by the UN to assess progress towards the Millennium Development Goals. Round 1 of the study followed 2,000 children (aged between 6 and 18 months in 2002) and their households, from both urban and rural communities, in each of the four countries (8,000 children in total). Data were also collected on an older cohort of 1,000 children aged 7 to 8 years in each country, in order to provide a basis for comparison with the younger children when they reach that age. Round 2 of the study returned to the same children who were aged 1-year-old in Round 1 when they were aged approximately 5-years-old, and to the children aged 8-years-old in Round 1 when they were approximately 12-years-old. Round 3 of the study returned to the same children again when they were aged 7 to 8 years (the same as the older cohort in Round 1) and 14 to 15 years. It is envisaged that subsequent survey waves will take place in 2013 and 2016. Thus the younger children are being tracked from infancy to their mid-teens and the older children through into adulthood, when some will become parents themselves.

Further information about the survey, including publications, can be downloaded from the Young Lives website.
School Survey:
A school survey was introduced into Young Lives in 2010, following the third round of the household survey, in order to capture detailed information about children’s experiences of schooling. It addressed two main research questions:
• how do the relationships between poverty and child development manifest themselves and impact upon children's educational experiences and outcomes?
• to what extent does children’s experience of school reinforce or compensate for disadvantage in terms of child development and poverty?

The survey allows researchers to link longitudinal information on household and child characteristics from the household survey with data on the schools attended by the Young Lives children and children's achievements inside and outside the school. A wide range of stakeholders, including government representatives at national and sub-national levels, NGOs and donor organisations were involved in the design of the school survey, so the researchers could be sure that the ‘right questions’ were being asked to address major policy concerns. This consultation process means that policymakers already understand the context and potential of the Young Lives research and are interested to utilise the data and analysis to inform their policy decisions. The survey provides policy-relevant information on the relationship between child development (and its determinants) and children’s experience of school, including access, quality and progression. This combination of household, child and school-level data over time constitutes the comparative advantage of the Young Lives study.

School Survey data are currently only available for India and Peru. The Peru data are available from the UK Data Archive under SN 7479.

Further information is available from the Young Lives School Survey webpages.

Percent of Children in Single-Parent Families is the percentage of children under age 18 who live with their own single parent, either in a family or subfamily. In this definition, single-parent families may include cohabiting couples and do not include children living with married stepparents. SOURCE: * U.S. Census Bureau, American Community Survey.

This report presents findings from the third (wave 3) in a series of follow up reports to the 2017 Mental Health of Children and Young People (MHCYP) survey, conducted in 2022. The sample includes 2,866 of the children and young people who took part in the MHCYP 2017 survey. The mental health of children and young people aged 7 to 24 years living in England in 2022 is examined, as well as their household circumstances, and their experiences of education, employment and services and of life in their families and communities. Comparisons are made with 2017, 2020 (wave 1) and 2021 (wave 2), where possible, to monitor changes over time.

This dataset explores Foster Care FY2000 - FY2005 Entries, Exits, and Numbers of Children In Care on the Last Day of Each Federal Fiscal Year. NOTE: This table reflects State data submitted to the Children's Bureau as of March 2007. The table does not include any estimates for individual States. Jurisdictions with insufficient data ("NA") are not included in the total for that year. Pre-2003 Nevada data were generated from various sources, rather than from a statewide child welfare system. NOTE: Ideally, if the number of children in the "in care" count declines, as it did during this period, the number of exits should consistently be greater than the number of entries in that year. However, this does not occur with these data. Underreporting of foster care exits by some States is the major reason for this data quality issue.

The Young Lives survey is an innovative long-term project investigating the changing nature of childhood poverty in four developing countries. The purpose of the project is to improve understanding of the causes and consequences of childhood poverty and examine how policies affect children's well-being, in order to inform the development of future policy and to target child welfare interventions more effectively. The objectives of the study are to provide good quality long-term data about the lives of children living in poverty, trace linkages between key policy changes and child welfare, and inform and respond to the needs of policymakers, planners and other stakeholders. Research activities of the project include the collection of data on a set of child welfare outcomes and their determinants and the monitoring of changes in policy, in order to explore the links between the policy environment and outcomes for children. The study is being conducted in Ethiopia, India (in Andhra Pradesh), Peru and Vietnam. These countries were selected because they reflect a range of cultural, geographical and social contexts and experience differing issues facing the developing world; high debt burden, emergence from conflict, and vulnerability to environmental conditions such as drought and flood. The Young Lives study aims to track the lives of 12,000 children over a 15-year period. This is the time-frame set by the UN to assess progress towards the Millennium Development Goals. Round 1 of the study followed 2,000 children (aged between 6 and 18 months in 2002) and their households, from both urban and rural communities, in each of the four countries (8,000 children in total). Data were also collected on an older cohort of 1,000 children aged 7 to 8 years in each country, in order to provide a basis for comparison with the younger children when they reach that age. Round 2 of the study returned to the same children who were aged 1-year-old in Round 1 when they were aged approximately 5-years-old, and to the children aged 8-years-old in Round 1 when they were approximately 12-years-old. Round 3 of the study returned to the same children again when they were aged 7 to 8 years (the same as the older cohort in Round 1) and 14 to 15 years. It is envisaged that subsequent survey waves will take place in 2013 and 2016. Thus the younger children are being tracked from infancy to their mid-teens and the older children through into adulthood, when some will become parents themselves. Further information about the survey, including publications, can be downloaded from the Young Lives website. School Survey: A school survey was introduced into Young Lives in 2010, following the third round of the household survey, in order to capture detailed information about children’s experiences of schooling. It addressed two main research questions: • how do the relationships between poverty and child development manifest themselves and impact upon children's educational experiences and outcomes? • to what extent does children’s experience of school reinforce or compensate for disadvantage in terms of child development and poverty? The survey allows researchers to link longitudinal information on household and child characteristics from the household survey with data on the schools attended by the Young Lives children and children's achievements inside and outside the school. A wide range of stakeholders, including government representatives at national and sub-national levels, NGOs and donor organisations were involved in the design of the school survey, so the researchers could be sure that the ‘right questions’ were being asked to address major policy concerns. This consultation process means that policymakers already understand the context and potential of the Young Lives research and are interested to utilise the data and analysis to inform their policy decisions. The survey provides policy-relevant information on the relationship between child development (and its determinants) and children’s experience of school, including access, quality and progression. This combination of household, child and school-level data over time constitutes the comparative advantage of the Young Lives study. School Survey data are currently only available for India and Peru. The India data are available from the UK Data Archive under SN 7478. Further information is available from the Young Lives School Survey webpages.

Moldova's first Demographic and Health Survey (2005 MDHS) is a nationally representative sample survey of 7,440 women age 15-49 and 2,508 men age 15-59 selected from 400 sample points (clusters) throughout Moldova (excluding the Transnistria region). It is designed to provide data to monitor the population and health situation in Moldova; it includes several indicators which follow up on those from the 1997 Moldova Reproductive Health Survey (1997 MRHS) and the 2000 Multiple Indicator Cluster Survey (2000 MICS). The 2005 MDHS used a two-stage sample based on the 2004 Population and Housing Census and was designed to produce separate estimates for key indicators for each of the major regions in Moldova, including the North, Center, and South regions and Chisinau Municipality. Unlike the 1997 MRHS and the 2000 MICS surveys, the 2005 MDHS did not cover the region of Transnistria. Data collection took place over a two-month period, from June 13 to August 18, 2005. The survey obtained detailed information on fertility levels, abortion levels, marriage, sexual activity, fertility preferences, awareness and use of family planning methods, breastfeeding practices, nutritional status of women and young children, childhood mortality, maternal and child health, adult health, and awareness and behavior regarding HIV infection and other sexually transmitted diseases. Hemoglobin testing was conducted on women and children to detect the presence of anemia. Additional features of the 2005 MDHS include the collection of information on international emigration, language preference for reading printed media, and domestic violence. The 2005 MDHS was carried out by the National Scientific and Applied Center for Preventive Medicine, hereafter called the National Center for Preventive Medicine (NCPM), of the Ministry of Health and Social Protection. ORC Macro provided technical assistance for the MDHS through the USAID-funded MEASURE DHS project. Local costs of the survey were also supported by USAID, with additional funds from the United Nations Children's Fund (UNICEF), the United Nations Population Fund (UNFPA), and in-kind contributions from the NCPM. MAIN RESULTS CHARACTERISTICS OF RESPONDENTS Ethnicity and Religion. Most women and men in Moldova are of Moldovan ethnicity (77 percent and 76 percent, respectively), followed by Ukrainian (8-9 percent of women and men), Russian (6 percent of women and men), and Gagauzan (4-5 percent of women and men). Romanian and Bulgarian ethnicities account for 2 to 3 percent of women and men. The overwhelming majority of Moldovans, about 95 percent, report Orthodox Christianity as their religion. Residence and Age. The majority of respondents, about 58 percent, live in rural areas. For both sexes, there are proportionally more respondents in age groups 15-19 and 45-49 (and also 45-54 for men), whereas the proportion of respondents in age groups 25-44 is relatively lower. This U-shaped age distribution reflects the aging baby boom cohort following World War II (the youngest of the baby boomers are now in their mid-40s), and their children who are now mostly in their teens and 20s. The smaller proportion of men and women in the middle age groups reflects the smaller cohorts following the baby boom generation and those preceding the generation of baby boomers' children. To some degree, it also reflects the disproportionately higher emigration of the working-age population. Education. Women and men in Moldova are universally well educated, with virtually 100 percent having at least some secondary or higher education; 79 percent of women and 83 percent of men have only a secondary or secondary special education, and the remainder pursues a higher education. More women (21 percent) than men (16 percent) pursue higher education. Language Preference. Among women, preferences for language of reading material are about equal for Moldovan (37 percent) and Russian (35 percent) languages. Among men, preference for Russian (39 percent) is higher than for Moldovan (25 percent). A substantial percentage of women and men prefer Moldovan and Russian equally (27 percent of women and 32 percent of men). Living Conditions. Access to electricity is almost universal for households in Moldova. Ninety percent of the population has access to safe drinking water, with 86 percent in rural areas and 96 percent in urban areas. Seventy-seven percent of households in Moldova have adequate means of sanitary disposal, with 91 percent of households in urban areas and only 67 percent in rural areas. Children's Living Arrangements. Compared with other countries in the region, Moldova has the highest proportion of children who do not live with their mother and/or father. Only about two-thirds (69 percent) of children under age 15 live with both parents. Fifteen percent live with just their mother although their father is alive, 5 percent live with just their father although their mother is alive, and 7 percent live with neither parent although they are both alive. Compared with living arrangements of children in 2000, the situation appears to have worsened. FERTILITY Fertility Levels and Trends. The total fertility rate (TFR) in Moldova is 1.7 births. This means that, on average, a woman in Moldova will give birth to 1.7 children by the end of her reproductive period. Overall, fertility rates have declined since independence in 1991. However, data indicate that fertility rates may have increased in recent years. For example, women of childbearing age have given birth to, on average, 1.4 children at the end of their childbearing years. This is slightly less than the total fertility rate (1.7), with the difference indicating that fertility in the past three years is slightly higher than the accumulation of births over the past 30 years. Fertility Differentials. The TFR for rural areas (1.8 births) is higher than that for urban areas (1.5 births). Results show that this urban-rural difference in childbearing rates can be attributed almost exclusively to younger age groups. CONTRACEPTION Knowledge of Contraception. Knowledge of family planning is nearly universal, with 99 percent of all women age 15-49 knowing at least one modern method of family planning. Among all women, the male condom, IUD, pills, and withdrawal are the most widely known methods of family planning, with over 80 percent of all women saying they have heard of these methods. Female sterilization is known by two-thirds of women, while periodic abstinence (rhythm method) is recognized by almost six in ten women. Just over half of women have heard of the lactational amenorrhea method (LAM), while 40-50 percent of all women have heard of injectables, male sterilization, and foam/jelly. The least widely known methods are emergency contraception, diaphragm, and implants. Use of Contraception. Sixty-eight percent of currently married women are using a family planning method to delay or stop childbearing. Most are using a modern method (44 percent of married women), while 24 percent use a traditional method of contraception. The IUD is the most widely used of the modern methods, being used by 25 percent of married women. The next most widely used method is withdrawal, used by 20 percent of married women. Male condoms are used by about 7 percent of women, especially younger women. Five percent of married women have been sterilized and 4 percent each are using the pill and periodic abstinence (rhythm method). The results show that Moldovan women are adopting family planning at lower parities (i.e., when they have fewer children) than in the past. Among younger women (age 20-24), almost half (49 percent) used contraception before having any children, compared with only 12 percent of women age 45-49. MATERNAL HEALTH Antenatal Care and Delivery Care. Among women with a birth in the five years preceding the survey, almost all reported seeing a health professional at least once for antenatal care during their last pregnancy; nine in ten reported 4 or more antenatal care visits. Seven in ten women had their first antenatal care visit in the first trimester. In addition, virtually all births were delivered by a health professional, in a health facility. Results also show that the vast majority of women have timely checkups after delivering; 89 percent of all women received a medical checkup within two days of the birth, and another 6 percent within six weeks. CHILD HEALTH Childhood Mortality. The infant mortality rate for the 5-year period preceding the survey is 13 deaths per 1,000 live births, meaning that about 1 in 76 infants dies before the first birthday. The under-five mortality rate is almost the same with 14 deaths per 1,000 births. The near parity of these rates indicates that most all early childhood deaths take place during the first year of life. Comparison with official estimates of IMRs suggests that this rate has been improving over the past decade. NUTRITION Breastfeeding Practices. Breastfeeding is nearly universal in Moldova: 97 percent of children are breastfed. However the duration of breast-feeding is not long, exclusive breastfeeding is not widely practiced, and bottle-feeding is not uncommon. In terms of the duration of breastfeeding, data show that by age 12-15 months, well over half of children (59 percent) are no longer being breastfed. By age 20-23 months, almost all children have been weaned. Exclusive breastfeeding is not widely practiced and supplementary feeding begins early: 57 percent of breastfed children less than 4 months are exclusively breastfed, and 46 percent under six months are exclusively breastfeed. The remaining breastfed children also consume plain water, water-based liquids or juice, other milk in addition to breast milk, and complimentary foods. Bottle-feeding is fairly widespread in Moldova; almost one-third (29 percent) of infants under 4 months old are fed with a bottle with

Abstract copyright UK Data Service and data collection copyright owner.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. National Child Development Study: Understanding Individual Behaviour, 2010 is a pilot study completed by an inter-disciplinary network of researchers as part of the ESRC’s Understanding Individual Behaviour programme. The network’s core aim was to explore individual differences in mid-life cognitive capacity and how these relate to experiences and behaviour earlier in life. The pilot study was conducted with a sub-sample of NCDS members living in and around Cambridge in 2010, when study members were aged 52, and sought to investigate the potential for conducting neuro-psychological assessments with purposive sub-samples from the British Birth Cohort Studies. The aim was to recruit individuals with particular cognitive ability trajectories between childhood and mid-adulthood. Childhood cognitive ability was measured using the age 11 General Ability Test (GAT). Adult cognitive ability was measured using cognitive assessments conducted at age 50. Potential participants were invited to a research centre at the University of Cambridge to complete a 90 minute testing session which involved three main elements:1. Repetition of the cognitive assessments included in the NCDS age 50 survey (NCDS8): a) Word-list recall/delayed word-list recall - a test of verbal learning and recall; b) Animal naming - a test of verbal fluency; c) Letter cancellation - a test of attention, mental speed and visual scanning.2. Five CANTAB (Cambridge Neuropsychological Test Automated Battery) tasks: a) Paired Associates Learning test (PAL) - a visuospatial associative learning test which assesses visual memory and new learning; b) Graded Naming Test (GNT) - a test of semantic and/or verbal memory; c) Affective Go/No-go(AGN) - a test of affective decision making and information processing biases; d) Cambridge Gambling Task (CGT) - a test of decision making and risk taking; and e) Rapid Visual Information Processing (RVP) - a test of attention and general information processing.3. A short self-completion questionnaire.In total, 45 study members participated in the pilot study. Further information is available from investigating the genetic, social and neuropsychological influences on individual differences in impulsivity and in memory using a lifecourse approach ESRC Award web page. Main Topics: The participants were divided into three groups: Decline group: Those whose performance in the cognitive assessments completed at age 50 was poorer than would have been predicted from their childhood cognitive ability as measured at age 11 (N=16). Consistent high scorer group: This group were matched to the decline group on childhood cognitive ability level, but did not exhibit any signs of decline (N=14). Consistent low scorer group: This group were matched to the experimental group on their age 50 cognitive ability), but had different cognitive ability levels in childhood (most likely having low cognitive ability throughout their lives) (N=12). Purposive selection/case studies Face-to-face interview Self-completion Psychological measurements

The child mortality rate in the United States, for children under the age of five, was 462.9 deaths per thousand births in 1800. This means that for every thousand babies born in 1800, over 46 percent did not make it to their fifth birthday. Over the course of the next 220 years, this number has dropped drastically, and the rate has dropped to its lowest point ever in 2020 where it is just seven deaths per thousand births. Although the child mortality rate has decreased greatly over this 220 year period, there were two occasions where it increased; in the 1870s, as a result of the fourth cholera pandemic, smallpox outbreaks, and yellow fever, and in the late 1910s, due to the Spanish Flu pandemic.

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Data and Documentation section...Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, for 2010, the 2010 Census provides the official counts of the population and housing units for the nation, states, counties, cities and towns. For 2006 to 2009, the Population Estimates Program provides intercensal estimates of the population for the nation, states, and counties..Explanation of Symbols:.An ''**'' 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..An ''-'' 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..An ''-'' following a median estimate means the median falls in the lowest interval of an open-ended distribution..An ''+'' following a median estimate means the median falls in the upper interval of an open-ended distribution..An ''***'' 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..An ''*****'' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. .An ''N'' 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..An ''(X)'' means that the estimate is not applicable or not available..Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2000 data. Boundaries for urban areas have not been updated since Census 2000. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..While the 2006-2010 American Community Survey (ACS) data generally reflect the December 2009 Office of Management and Budget (OMB) definitions of metropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB definitions due to differences in the effective dates of the geographic entities..The methodology for calculating median income and median earnings changed between 2008 and 2009. Medians over $75,000 were most likely affected. The underlying income and earning distribution now uses $2,500 increments up to $250,000 for households, non-family households, families, and individuals and employs a linear interpolation method for median calculations. Before 2009 the highest income category was $200,000 for households, families and non-family households ($100,000 for individuals) and portions of the income and earnings distribution contained intervals wider than $2,500. Those cases used a Pareto Interpolation Method..Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables..Source: U.S. Census Bureau, 2006-2010 American Community Survey

This dataset explores the child's finalization age at adoption by state. The ages are grouped as under 1, 1-5, 6-10, 11-15, 16-18, 19 and older. This dataset is from October 2005 - September 2006 (Fiscal year 2006).

Background and coverage over time:
The National Food Survey (NFS) was originally set up in 1940 to monitor the adequacy of the diet of urban working class households. It evolved into a continuous sampling enquiry into the domestic food consumption and expenditure of all private households, regardless of class. These data cover the period 1974-2000, when the NFS and Family Expenditure Survey were merged into the Expenditure and Food Survey (now the Living Costs and Food Survey). At the beginning of the series (1974) the survey covered England, Scotland and Wales only. It excluded food purchased to be eaten outside the home (such as fish and chips, ice cream), and excluded all confectionery, soft drinks, and alcoholic drinks that might be purchased by anyone other than the 'housewife'. In 1992 confectionery, alcoholic drinks and soft drinks brought home for consumption were added to the survey, and in 1994 an additional survey was begun to extend the NFS coverage to food eaten outside the home. From 1996, the NFS was extended to cover Northern Ireland.

Open access data released:
In 2016, as part of a programme to widen public access to data, the Department for the Environment, Food and Rural Affairs (DEFRA) published open access versions of the 1974-2000 NFS data. The open access datasets contain less detail than the standard End User Licence NFS datasets which are available only to registered UK Data Service users. For example, the open access datasets only contain household-level data and not person-level data (though some person data fields have been extracted and are supplied as a new table so that details of whether anyone in the household was pregnant at the time of the survey, and whether there were any children under the age of 2). Furthermore, age has been banded, and head of household's gross income and records for households with more than 10 members have been removed. The process is described in the documentation and on the DEFRA blog, Feeding the hunger for data.

Downloading the Open Access Data
The Open Access NFS data can be downloaded in tab-delimited text (.txt) format by following the link in the 'Download' section below. The zip file contains data and documentation for all NFS surveys from 1974-2000. Open access NFS datasets for all years (or individual survey years) can also be freely downloaded from the data.gov.uk Family Food open data webpage.

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 amon g 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. To date there have been seven 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, in 1974, aged 16 (these sweeps form NCDS1-3, held together with NCDS0 under SN 5565). The fourth sweep, NCDS4, was conducted in 1981, when respondents were aged 23 (held under SN 5566). In 1985 the NCDS mov ed to the Social Statistics Research Unit (SSRU) - now known as the Centre for Longitudinal Studies (CLS) - and the fifth sweep was carried out in 1991, when respondents were aged 33, (NCDS5, held under SN 5567). For the sixth wave, conducted in 1999-2000, when respondents were aged 41-42 (NCDS6, held under SN 5578), fieldwork was combined with the 1999-2000 wave of the 1970 Birth Cohort Study (BCS70), which is also conducted by CLS (and held at the Archive under GN 33229). Response and Deaths Dataset: A separate dataset covering responses and to NCDS and deaths of cohort members over all eight waves is available under SN 5560, National Child Development Study Response and Deaths Dataset, 1958-2009. Users are advised to order this study alongside the other waves of NCDS. Additional studies: In addition to t he main NCDS sweeps, some further studies have also been conducted. In 1978, a postal survey was conducted of the schools attended by members of the birth cohort at the time of the third follow-up of 1974, in order to obtain details of public examination entry and performance. Similar details were also sought from sixth-form and further education colleges etc., where these were identified by schools. Also, a 37-year sample survey of the NCDS cohort, focusing on basic skills, is held under SN 4992. The Archive also holds a number of NCDS-related files (for example, of data collected in the course of a special study of handicapped school-leavers, at age 18 (held under SN 2024) and the data from a 5% feasibility study, conducted at age 20 (held under SN 2025), which preceded NCDS4. A parent migration dataset, based on NCDS5, is held under SN 4324, and a study detailing partnership histories, compiled from NCDS sweeps 5 and 6, is held under SN 5217. Further information abou t the full NCDS series can be found on the CLS NCDS web pages. National Child Development Study: Understanding Individual Behaviour, 2010 is a pilot study completed by an inter-disciplinary network of researchers as part of the ESRC’s Understanding Individual Behaviour programme. The network’s core aim was to explore indi vidual differences in mid-life cognitive capacity and how these relate to experiences and behaviour earlier in life. The pilot study was conducted with a sub-sample of NCDS members living in and around Cambridge in 2010, when study members were aged 52, and sought to investigate the potential for conducting neuro-psychological assessments with purposive sub-samples from the British Birth Cohort Studies. The aim was to recruit individuals with particular cognitive ability trajectories between childhood and mid-adulthood. Childhood cognitive ability was measured using the age 11 General Abili ty Test (GAT). Adult cognitive ability was measured using cognitive assessments conducted at age 50. Potential participants were invited to a research centre at the University of Cambridge to complete a 90 minute testing session which involved three main elements: 1) Repetition of the cognitive assessments included in the NCDS age 50 survey (NCDS8): a) Word-list recall/delayed word-list recall - a test of verbal learning and recall b) Animal naming - a test of verbal fluency c) Letter cancellation - a test of attention, mental speed and visual scanning 2) Five CANTAB (Cambridge Neuropsychological Test Automated Battery) tasks: a) Paired Associates Learning test (PAL) - a visuospatial associative learning test which assesses visual memory and new learning. b) Graded Naming Test (GNT) - a test of semantic and/or verbal memory. c) Affective Go/No-go(AGN) - a test of affective decision making and information processing biases d) Cambridge Gambling Task (CGT) - a test of decision making and risk taking e) Rapid Visua l Information Processing (RVP) - a test of attention and general information processing. 3) A short self-completion questionnaire In total, 45 study members participated in the pilot study. Further information is available from investigating the genetic, social and neuropsychological influences on individual difference s in impulsivity and in memory using a lifecourse approach ESRC Award web page.

The relative contributions of acquired immunity and exposure to the distinct epidemiological patterns of human schistosomiasis has been long debated. There is considerable evidence that humans acquire immunity to infection with age, providing partial protection in adulthood. However age- and sex-related contact patterns with water bodies contaminated with infectious cercarial schistosome larvae also contribute to the epidemiological profiles of infection. The data supported the development a novel schistosome transmission model that incorporates both partially protective immunity represented by immunoglobulin E (IgE) antibody levels specific to Schistosoma mansoni Tegumental-Allergen-Like protein 1 (SmTAL1-IgE), and host age- and sex-dependent patterns of exposure. The model was fitted using a Baysien approach to individual data on exposure to infectious cercariae, infection levels measured as eggs per gramme of faeces (epg) and SmTAL1-IgE levels. The aim was to determine the importance of immunity parameters in optimal Schistosoma mansoni transmission models. The data is a sub-set of data from a longitudinal re-infection study held by the University of Cambridge Schistosomiasis Research Group. The data was collected between 1998 and 2000 to empirically investigate the relative roles of exposure to the infectious cercarial life stage, and the development of partial immunity, on Schistosoma mansoni re-infection levels measured on a micro-geographical scale. Exposure was derived from longitudinal water contact observations and systematic malacology surveys of the parasites’ intermediate hosts. Infection levels and SmTAL1-IgE were measured pre- and post-treatment with praziquantel. The sub-set of data is for one of the two ethnic groups who originally participated - the members of whom are now the predominant ethnic group in Lake Albert shoreline communities. To be included in the data set an individual record also had to have both a cercarial exposure score and a pre-treatment egg count.Schistosomiasis remains a major public health problem in many developing countries, Uganda inclusive. It affects the poorest people, living in remote, marginal and rural areas, and causes life-long disability, disfigurement, reduced economic productivity and social stigma. In Hoima District, communities on the shores of Lake Albert retain high infection intensities levels. This is despite concerted efforts to to provide annual community wide preventative chemotherapy through mass drug administration (MDA) programmes, with the latest reported coverage rates for districts with Lake Albert shores being above the WHO target of 75% of those eligible for treatment (currently school aged children and adults). Failure to gain control of infection in primary school children can result in the development of persistent morbidity that can be life threatening in adulthood. Without improved intervention we will fail to meet the Sustainable Development Goal 3 aim of promoting well being for all. The data pertains to a transmission modelling work package within the FibroScHot research programme. The modelling studies update models currently available for schistosomiasis, adapting them to transmission in the Lake Albert region prior to simulating increased treatment frequency in line with the clinical trial at the core of the FibroScHot project. The age (year) and sex of each individual was recorded at baseline. Schistosoma mansoni egg counts were collected pre-treatment in 1998. Individuals received two treatments with praziquantel, 2-weeks apart and Schistosoma mansoni egg counts were again collected 5-weeks, 12-months and 18-months post the 2nd treatment. Egg counts are generated from a maximum of 3-stool samples at each timepoint from which two kato-katz slides were prepared. Plasma samples were collected pre-treatment and 5-weeks post the second praziquantel treatment. The data set contains IgE specific to S. mansoni Tegument Allergen-Like 1 (SmTAL1) protein measured in these plasma samples by ELISA. The data recorded is the optical density from the ELISA. Extensive water-contact observations conducted, in conjunction with systematic snail surveys, between 1998 and 2000 were used to derive a cercarial exposure score. The details of how the cercarial exposure score was derived can be found in Pinot De Moira A, Fulford AJC, Kabatereine NB, et al. Microgeographical and tribal variations in water contact and Schistosoma mansoni exposure within a Ugandan fishing community. Tropical Medicine & International Health 2007; 12: 724–35.

Percent of Children in Poverty (income below $19,806 for a family of two adults and two children in 2005) is the percentage of children under age 18 who live in families with incomes below 100 percent of the U.S. poverty threshold, as defined by the U.S. Office of Management and Budget. The federal poverty definition consists of a series of thresholds based on family size and composition and is updated every year to account for inflation. In calendar year 2005, a family of two adults and two children fell in the poverty category if their annual income fell below $19,806. Poverty status is not determined for people living in group quarters, such as military barracks, prisons, and other institutional quarters, or for unrelated individuals under age 15 (such as foster children). The data are based on income received in the 12 months prior to the survey. SOURCE: * U.S. Census Bureau, American Community Survey.

Number of deaths and mortality rates, by age group, sex, and place of residence, 1991 to most recent year.