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The purpose of this project was to measure and estimate the distribution of personal income and related economic factors in both rural and urban areas of the People's Republic of China. The principal investigators based their definition of income on cash payments and on a broad range of additional components. Data were collected through a series of questionnaire-based interviews conducted in rural and urban areas at the end of 2002. There are ten separate datasets. The first four datasets were derived from the urban questionnaire. The first contains data about individuals living in urban areas. The second contains data about urban households. The third contains individual-level economic variables copied from the initial urban interview form. The fourth contains household-level economic variables copied from the initial urban interview form. The fifth dataset contains village-level data, which was obtained by interviewing village leaders. The sixth contains data about individuals living in rural areas. The seventh contains data about rural households, as well as most of the data from a social network questionnaire which was presented to rural households. The eighth contains the rest of the data from the social network questionnaire and is specifically about the activities of rural school-age children. The ninth dataset contains data about individuals who have migrated from rural to urban areas, and the tenth dataset contains data about rural-urban migrant households. Dataset 1 contains 151 variables and 20,632 cases (individual urban household members). Dataset 2 contains 88 variables and 6,835 cases (urban households). Dataset 3 contains 44 variables and 27,818 cases, at least 6,835 of which are empty cases used to separate households in the file. The remaining cases from dataset 3 match those in dataset 1. Dataset 4 contains 212 variables and 6,835 cases, which match those in dataset 2. Dataset 5 contains 259 variables and 961 cases (villages). Dataset 6 contains 84 variables and 37,969 cases (individual rural household members). Dataset 7 contains 449 variables and 9,200 cases (rural households). Dataset 8 contains 38 variables and 8,121 cases (individual school-age children). Dataset 9 contains 76 variables and 5,327 cases (individual rural-urban migrant household members). Dataset 10 contains 129 variables and 2,000 cases (rural-urban migrant households).

The Chinese Household Income Project collected data in 1988, 1995, 2002, and 2007. ICPSR holds data from the first three collections, and information about these can be found on the series description page. Data collected in 2007 are available through the China Institute for Income Distribution.

The Future of Families and Child Wellbeing Study (FFCWS, formerly known as the Fragile Families and Child Wellbeing Study) follows a cohort of nearly 5,000 children born in large, U.S. cities between 1998 and 2000. The study oversampled births to unmarried couples; and, when weighted, the data are representative of births in large U.S. cities at the turn of the century. The FFCWS was originally designed to address four questions of great interest to researchers and policy makers:

1. What are the conditions and capabilities of unmarried parents, especially fathers?
2. What is the nature of the relationships between unmarried parents?
3. How do children born into these families fare?
4. How do policies and environmental conditions affect families and children?

The FFCWS consists of interviews with mothers, fathers, and/or primary caregivers at birth and again when children are ages 1, 3, 5, 9, 15, and 22. The parent interviews collected information on attitudes, relationships, parenting behavior, demographic characteristics, health (mental and physical), economic and employment status, neighborhood characteristics, and program participation. Beginning at age 9, children were interviewed directly (either during the home visit or on the telephone). The direct child interviews collected data on family relationships, home routines, schools, peers, and physical and mental health, as well as health behaviors.

A collaborative study of the FFCWS, the In-Home Longitudinal Study of Pre-School Aged Children (In-Home Study) collected data from a subset of the FFCWS Core respondents at the Year 3 and 5 follow-ups to ask how parental resources in the form of parental presence or absence, time, and money influence children under the age of 5. The In-Home Study collected information on a variety of domains of the child's environment, including: the physical environment (quality of housing, nutrition and food security, health care, adequacy of clothing and supervision) and parenting (parental discipline, parental attachment, and cognitive stimulation). In addition, the In-Home Study also collected information on several important child outcomes, including anthropometrics, child behaviors, and cognitive ability. This information was collected through interviews with the child's primary caregiver, and direct observation of the child's home environment and the child's interactions with his or her caregiver.

Similar activities were conducted during the Year 9 follow-up. At the Year 15 follow-up, a condensed set of home visit activities were conducted with a subsample of approximately 1,000 teens. Teens who participated in the In-Home Study were also invited to participate in a Sleep Study and were asked to wear an accelerometer on their non-dominant wrist for seven consecutive days to track their sleep (Sleep Actigraphy Data) and that day's behaviors and mood (Daily Sleep Actigraphy and Diary Survey Data).

An additional collaborative study collected data from the child care provider (Year 3) and teacher (Years 9 and 15) through mail-based surveys. Saliva samples were collected at Year 9 and 15 (Biomarker file and Polygenic Scores). The Study of Adolescent Neural Development (SAND) COVID Study began data collection in May 2020 following the onset of the COVID-19 pandemic. It included online surveys with the young adult and their primary caregiver.

The FFCWS began its seventh wave of data collection in October 2020, around the focal child's 22nd birthday. Data collection and interviews continued through January 2024. The Year 22 wave included a young adult (YA) survey with the original focal child and a primary caregiver (PCG) survey. Data were also collected on the children of the original focal child (referred to as Generation 3, or G3).

In 2017, the FFCWS team announced the Fragile Families (FF) Challenge, a collaborative effort in which participants were tasked with using machine learning methods and FFCWS data (Baseline to Year 9) to build a model that would predict six key outcomes at Year 15. Materials used in the FF Challenge have been archived in this collection.

Documentation for these files is available on the FFCWS website under Data and Documentation. For details of updates made to the FFCWS data files, please see the project's Data Alerts page.

Data collection for the Future of Families and Child Wellbeing Study was supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) of the National Institutes of Health under award numbers R01HD36916, R01HD39135, and R01HD40421, as well as a consortium of private foundations.

Below is the citation for use of the FFCWS data accessed through ICPSR. For information on additional citation requirements when using FFCWS in publications, please refer to this FAQ on the FFCWS project site.

The Moving to Opportunity (MTO) program was a randomized housing experiment administered by the United States Department of Housing and Urban Development (HUD) that gave low-income families living in high-poverty areas the chance to move to lower-poverty areas. This Restricted Access Dataset (RAD) includes data from the 3,273 adults interviewed as part of the MTO long-term evaluation and is comprised of variables analyzed for the article "Neighborhood Effects on the Long-Term Well-Being of Low-Income Adults" that was published in the journal Science on September 21, 2012. The article focused on subjective well-being, physical and mental health, social networks, neighborhoods, housing, and economic self-sufficiency. Families were tracked from the baseline survey (1994-1998) through the long-term evaluation survey fielding period (2008-2010) with the purpose of determining the effects of "neighborhood" on participating families from five United States cities. Households were randomly assigned to one of three groups:

1. The low-poverty voucher (LPV) group (also called the experimental group) received Section 8 rental assistance certificates or vouchers that they could use only in census tracts with 1990 poverty rates below 10 percent. The families received mobility counseling and help in leasing a new unit. One year after relocating, families could use their voucher to move again if they wished, without any special constraints on location.
2. The traditional voucher (TRV) group (also called the Section 8 group) received regular Section 8 certificates or vouchers that they could use anywhere; these families received no special mobility counseling.
3. The control group received no certificates or vouchers through MTO, but continued to be eligible for project-based housing assistance and other social programs and services to which they would otherwise be entitled.

The dataset contains all outcomes and mediators analyzed for the Science article, as well as a variety of demographic and other baseline measures that were controlled for in the analysis. Demographic information includes age, gender, race/ethnicity, employment status, and education level.

Downloads of Add Health require submission of the following information, which is shared with the original producer of Add Health: supervisor name, supervisor email, and reason for download. A Data Guide for this study is available as a web page and for download.

The National Longitudinal Study of Adolescent to Adult Health (Add Health), 1994-2018 [Public Use] is a longitudinal study of a nationally representative sample of U.S. adolescents in grades 7 through 12 during the 1994-1995 school year. The Add Health cohort was followed into young adulthood with four in-home interviews, the most recent conducted in 2008 when the sample was aged 24-32. Add Health combines longitudinal survey data on respondents' social, economic, psychological, and physical well-being with contextual data on the family, neighborhood, community, school, friendships, peer groups, and romantic relationships.

Add Health Wave I data collection took place between September 1994 and December 1995, and included both an in-school questionnaire and in-home interview. The in-school questionnaire was administered to more than 90,000 students in grades 7 through 12, and gathered information on social and demographic characteristics of adolescent respondents, education and occupation of parents, household structure, expectations for the future, self-esteem, health status, risk behaviors, friendships, and school-year extracurricular activities. All students listed on a sample school's roster were eligible for selection into the core in-home interview sample. In-home interviews included topics such as health status, health-facility utilization, nutrition, peer networks, decision-making processes, family composition and dynamics, educational aspirations and expectations, employment experience, romantic and sexual partnerships, substance use, and criminal activities. A parent, preferably the resident mother, of each adolescent respondent interviewed in Wave I was also asked to complete an interviewer-assisted questionnaire covering topics such as inheritable health conditions, marriages and marriage-like relationships, neighborhood characteristics, involvement in volunteer, civic, and school activities, health-affecting behaviors, education and employment, household income and economic assistance, parent-adolescent communication and interaction, parent's familiarity with the adolescent's friends and friends' parents.

Add Health data collection recommenced for Wave II from April to August 1996, and included almost 15,000 follow-up in-home interviews with adolescents from Wave I. Interview questions were generally similar to Wave I, but also included questions about sun exposure and more detailed nutrition questions. Respondents were asked to report their height and weight during the course of the interview, and were also weighed and measured by the interviewer.

From August 2001 to April 2002, Wave III data were collected through in-home interviews with 15,170 Wave I respondents (now 18 to 26 years old), as well as interviews with their partners. Respondents were administered survey questions designed to obtain information about family, relationships, sexual experiences, childbearing, and educational histories, labor force involvement, civic participation, religion and spirituality, mental health, health insurance, illness, delinquency and violence, gambling, substance abuse, and involvement with the criminal justice system. High School Transcript Release Forms were also collected at Wave III, and these data comprise the Education Data component of the Add Health study.

Wave IV in-home interviews were conducted in 2008 and 2009 when the original Wave I respondents were 24 to 32 years old. Longitudinal survey data were collected on the social, economic, psychological, and health circumstances of respondents, as well as longitudinal geographic data. Survey questions were expanded on educational transitions, economic status and financial resources and strains, sleep patterns and sleep quality, eating habits and nutrition, illnesses and medications, physical activities, emotional content and quality of current or most recent romantic/cohabiting/marriage relationships, and maltreatment during childhood by caregivers. Dates and circumstances of key life events occurring in young adulthood were also recorded, including a complete marriage and cohabitation history, full pregnancy and fertility histories from both men and women, an educational history of dates of degrees and school attendance, contact with the criminal justice system, military service, and various employment events, including the date of first and current jobs, with respective information on occupation, industry, wages, hours, and benefits. Finally, physical measurements and biospecimens were also collected at Wave IV, and included anthropometric measures of weight, height and waist circumference, cardiovascular measures such as systolic blood pressure, diastolic blood pressure, and pulse, metabolic measures from dried blood spots assayed for lipids, glucose, and glycosylated hemoglobin (HbA1c), measures of inflammation and immune function, including High sensitivity C-reactive protein (hsCRP) and Epstein-Barr virus (EBV).

Wave V data collection took place from 2016 to 2018, when the original Wave I respondents were 33 to 43 years old. For the first time, a mixed mode survey design was used. In addition, several experiments were embedded in early phases of the data collection to test response to various treatments. A similar range of data was collected on social, environmental, economic, behavioral, and health circumstances of respondents, with the addition of retrospective child health and socio-economic status questions. Physical measurements and biospecimens were again collected at Wave V, and included most of the same measures as at Wave IV.

The overall goal of Wave VI was to better understand life course trajectories, determinants, and consequences of critical dimensions of aging, health, and health disparities among U.S. early midlife adults. Data collection took place from 2022 to 2025, with participants between the ages of 39 and 51, with an average age of 44. Beyond longitudinal survey measures, newly added questions included those on cumulative stress, discrimination, despair, work-life balance, memory, physical limitations, and caregiving. Continuing from previous waves, home exams collected physical measurements and biospecimens with most of the same measures as Wave V.

The National Survey of America's Families (NSAF) is a household survey that provides a comprehensive look at quantitative measures of the well-being of children, adults, and their families. While the focus of the survey is at the state level, the scope is national -- with a primary emphasis on low-income families. NSAF information was gathered from interviews conducted with the Most Knowledgeable Adult (MKA), the person in the household who was most knowledgeable about the questions being asked about the respondent, their spouse/partner (if applicable) and the focal child (or children). Data were collected from more than 40,000 families in two stages. First, a screener interview was administered to determine whether a household was eligible to complete the second, extended interview.

Two types of extended interviews were administered. Option A interviews were used in households with children under age 18. Option B interviews were used in childless adult households and also with emancipated minors. The extended interview was divided into several sections and is labeled A through P below:

• A. Student Status. This section contained two questions that asked whether the respondent was a student and whether that household was the respondent's usual residence.

• B. Health Status and Satisfaction. These questions asked about the respondent's satisfaction with health care, access to health care, the health status of the focal children, and the health status of the respondent.

• C. Parent/Child/Family Interaction and Education. This series of questions asked about education for focal children. Questions addressed the focal child's current grade (or the last grade completed) and the child's attitudes toward school and schoolwork, skipping school, suspensions, and changing schools. Questions were also asked about children over 11 years old working for pay and attending summer school.

• D. Household Roster. In this section, the name, age, and sex of all persons living in the household were recorded, and relationships between all household members were investigated.

• E. Health Care Coverage. Information was gathered about current health insurance coverage for the respondent, the respondent's spouse/partner, and the focal children. Questions were also asked about characteristics of that coverage and of periods in which family members had no insurance coverage.

• F. Health Care Use and Access. This section gathered information about health status, health care services received, and necessary health care services that were postponed during the preceding 12 months. Questions on routine care, overnight stays in hospitals, dental care, mental health care, women's health care, well-child care, and prescription medicines were also included.

• G. Child Care. In this section, respondents were queried as to child care arrangements including Head Start, child care centers, before- or after-school care, and babysitters. Questions were asked about the total number of hours per week in each care situation, the typical number of children cared for, the typical number of adult child care providers, and child care costs.

• H. Nonresidential Parent/Father. These questions determined whether a focal child had a nonresident parent, how often the child saw his/her nonresident parent, whether the nonresident parent provided financial support, and whether nonresident parents were required by child support orders to provide financial support.

• I. Employment and Earnings. This section contained a series of questions about the employment and earnings of the respondent and the spouse/partnerfor the current and preceding year. Topics included employment status, occupation, industry, employer-provided health insurance, hours worked, and earnings. Some questions were also asked about the earnings of other family members.

• J. Family Income. Family income also was identified from a wide variety of sources other than earnings from employment. These sources included public assistance (e.g., Aid to Families with Dependent Children [AFDC], General Assistance, Emergency Assistance, or vouchers), Food Stamps, child support, foster care payments, financial assistance from friends or relatives, unemployment compensation, workers' compensation or veterans' payments, Supplemental Security Income, Social Security, pension or annuity income, interest or dividend income, income from rental property, or any other income source.

• K. Welfare Program Participation. This section gathered detailed information about AFDC and Food Stamp benefits that the respondent might have received within the preceding two years. For both types of assistance, periods in which the respondent's benefits were reduced or eliminated were identified, as were strategies for coping during such times. Current AFDC or Food Stamp recipients were asked about any requirements they had to fulfill (e.g., job search, training, etc.) in order to receive these benefits. Recipients were also asked questions about awareness of time limits and experiences with diversion. For respondents with children, questions were asked about benefits received in the previous year through the supplemental food program for Women, Infants, and Children (WIC) and free or reduced-cost school breakfast and lunch programs.

• L. Education and Training. This series of questions inquired about the highest grade completed, highest degree earned, participation in job training programs during the previous year, and classes taken for credit during the previous year.

• M. Housing and Economic Hardship. Questions covered the respondent's living arrangements, the name(s) of the lease- or mortgage- holder(s) in the household, and the amount of rent or mortgage paid monthly. Information was collected about financial contributions by the respondent or his/her spouse or partner to children under 18 years old living outside the household. The effect of economic hardship on the family's food consumption and ability to pay for housing costs was also assessed.

• N. Issues, Problems, and Social Services. Questions in this section covered the respondent's state of mind, feelings about his or her child (or children), constructive activities the child (or children) might have been involved with, the availability of social services in their community, problems the child (or children) might have had in the preceding year and efforts to obtain help for those problems, and the respondent's involvement in volunteer and religious activities.

• O. Race, Ethnicity, and Nativity. Race and ethnicity were asked for the respondent, the spouse/partner, and the focal child (or children). For household members who were born outside the United States, country of origin and citizenship questions were asked.

• P. Closing. At the end of the survey, respondents were asked their opinions about welfare and working and about raising children. Closing questions asked for the respondent's ZIP code and, in households with foreign-born individuals, tracing information for use in a follow-up survey.

The 1997 NSAF data are available in nine parts and are organized into hierarchical, flat household-, family-, person-, adult-, and child-level files. A description of each is provided below:

1. Focal Child Data. This dataset contains data elements from the extended interview that are specific to focal children (FC1 and FC2). Select data items that were asked only of MKAs are also included. Information in this dataset is primarily from sections N (Issues, Problems, and Social Services) and P (Closing) of the extended interview. The dataset contains one record for each focal child.

2. Adult Pair Data. Included in this dataset is information collected from the extended interview about both the respondent and the respondent's spouse/partner. There is one observation per respondent and one per spouse (where applicable). Information in this dataset is primarily from sections I (Employment and Earnings) and L (Education and Training) of the extended interview.

3. Random Adult Data. Information in this person-level dataset is specific to a randomly selected adult, either the respondent or the spouse/partner. This situation occurs only in sections E (Health Insurance Coverage) and F (Health Care Access and Utilization) of the extended interview.

4. Childless Adult Data. This dataset contains data elements from the extended interview that are asked only of the respondent in Option B interviews. Variables in this dataset come mainly from section N (Issue, Problems, and Social Services) and P (Closing). There is one record per Option B interview in the dataset.

5. Family-Respondent Data. Information in this dataset centers around information about the family's use of health care and social services. This family-level dataset contains one observation per respondent. Because there could be more than one respondent per family, family-respondent level variables may have different values within a single family.

6. Household Data. This household-level dataset contains general information about the household such as the demographic characteristics of its members. Also contained in this dataset are administrative and process data such as housing subsidies, public housing, the number of bedrooms in the house, whether the home was owned or rented, and information pertaining to screeners and the completion of interviews.

7. Person Data. This dataset contains one observation for each person living in the household. Included in this dataset is demographic information as well as information on current health insurance status and income.

8. Social Family Data. Included in this dataset are items asked about the social family and variables aggregated at the social family level. The social family includes not only married partners and their children, but also unmarried partners, all of their children, and members of the extended family (anyone related by blood to the MKA, the spouse/partner, or their children). Among the survey items included are those variables indicating whether anyone in the social family had a particular type of income and health insurance. Also included are variables summarizing information across all members of a social family, such as the number of family members. There is one record for each social family.

9. CPS Family Data. Since the social family definition was used in fielding the NSAF, this dataset includes only variables created using the Current Population Survey (CPS) definition of family. A CPS family includes the householder, spouse of family householder, children in the family, and other relatives of the family household respondent. There is one record for each CPS family in this dataset.

The National Survey of America's Families (NSAF) is a household survey that provides a comprehensive look at quantitative measures of the well-being of children, adults, and their families. While the focus of the survey is at the state level, the scope is national -- with a primary emphasis on low-income families. NSAF information was gathered from interviews conducted with the Most Knowledgeable Adult (MKA), the person in the household who was most knowledgeable about the questions being asked about the respondent, their spouse/partner (if applicable) and the focal child (or children). Data were collected from more than 40,000 families in two stages. First, a screener interview was administered to determine whether a household was eligible to complete the second, extended interview.

Two types of extended interviews were administered. Option A interviews were used in households with children under age 18. Option B interviews were used in childless adult households and also with emancipated minors. The extended interview was divided into several sections and is labeled A through P below:

• A. Student Status. This section contained two questions that asked whether the respondent was a student and whether that household was the respondent's usual residence.

• B. Health Status and Satisfaction. These questions asked about the respondent's satisfaction with health care, access to health care, the health status of the focal children, and the health status of the respondent. It also covered questions about the respondent's awareness of specific insurance programs such as Medicaid, and those associated with the Children's Health Insurance Program (CHIP).

• C. Parent/Child/Family Interaction and Education. This series of questions asked about education for focal children. Questions addressed the focal child's current grade (or the last grade completed) and the child's attitudes toward school and schoolwork, skipping school, suspensions, and changing schools. Questions were also asked about children over 11 years old working for pay and attending summer school.

• D. Household Roster. In this section, the name, age, and sex of all persons living in the household were recorded, and relationships between all household members were investigated.

• E. Health Care Coverage. Information was gathered about current health insurance coverage for the respondent, the respondent's spouse/partner, and the focal children. Questions were also asked about characteristics of that coverage and of periods in which family members had no insurance coverage.

• F. Health Care Use and Access. This section gathered information about health status, health care services received, and necessary health care services that were postponed during the preceding 12 months. Questions on routine care, overnight stays in hospitals, dental care, mental health care, women's health care, well-child care, and prescription medicines were also included.

• G. Child Care. In this section, respondents were queried as to child care arrangements including Head Start, child care centers, before- or after-school care, and babysitters. Questions were asked about the total number of hours per week in each care situation, the typical number of children cared for, the typical number of adult child care providers, and child care costs.

• H. Nonresidential Parent/Father. These questions determined whether a focal child had a nonresident parent, how often the child saw his/her nonresident parent, whether the nonresident parent provided financial support, and whether nonresident parents were required by child support orders to provide financial support.

• I. Employment and Earnings. This section contained a series of questions about the employment and earnings of the respondent and the spouse/partner for the current and preceding year. Topics included employment status, occupation, industry, employer-provided health insurance, hours worked, and earnings. Some questions were also asked about the earnings of other family members.

• J. Family Income. Family income was also identified from a wide variety of sources other than earnings from employment. These sources included public assistance (e.g., Temporary Assistance for Needy Families [TANF], General Assistance, Emergency Assistance, or vouchers), Food Stamps, child support, foster care payments, financial assistance from friends or relatives, unemployment compensation, workers' compensation or veterans' payments, Supplemental Security Income, Social Security, pension or annuity income, interest or dividend income, income from rental property, or any other income source.

• K. Welfare Program Participation. This section gathered detailed information about TANF and Food Stamp benefits that the respondent might have received within the preceding two years. For both types of assistance, periods in which the respondent's benefits were reduced or eliminated were identified, as were strategies for coping during such times. Current TANF or Food Stamp recipients were asked about any requirements they had to fulfill (e.g., job search, training, etc.) in order to receive these benefits. Recipients were also asked questions about awareness of time limits and experiences with diversion. For respondents with children, questions were asked about benefits received in the previous year through the supplemental food program for Women, Infants, and Children (WIC) and free or reduced-cost school breakfast and lunch programs. Additional questions were asked about respondent experiences in obtaining government assistance for child care and health insurance through Medicaid and CHIP, and receipt and/or the use of the Earned Income Tax Credit (EITC) in any year between 1999 and 2002.

• L. Education and Training. This series of questions inquired about the highest grade completed, highest degree earned, participation in job training programs during the previous year, and classes taken for credit during the previous year.

• M. Housing and Economic Hardship. Questions covered the respondent's living arrangements, the name(s) of the lease- or mortgage- holder(s) in the household, and the amount of rent or mortgage paid monthly. Information was collected about financial contributions by the respondent or his/her spouse or partner to children under 18 years old living outside the household. The effect of economic hardship on the family's food consumption and ability to pay for housing costs was also assessed.

• N. Issues, Problems, and Social Services. Questions in this section covered the respondent's state of mind, feelings about his or her child (or children), constructive activities the child (or children) might have been involved with, the availability of social services in their community, problems the child (or children) might have had in the preceding year and efforts to obtain help for those problems, and the respondent's involvement in volunteer and religious activities.

• O. Race, Ethnicity, and Nativity. Race and ethnicity were asked for the respondent, the spouse/partner, and the focal child (or children). For household members who were born outside the United States, country of origin and citizenship questions were asked.

• P. Closing. At the end of the survey, respondents were asked their opinions about welfare and working and about raising children. Respondents' ZIP code and address were also requested.

• The 2002 NSAF data are available in nine parts and are organized into hierarchical, flat household-, family-, person-, adult-, and child-level files. A description of each is provided below:

  1. Focal Child Data. This dataset contains data elements from the extended interview that are specific to focal children (FC1 and FC2). Select data items that were asked only of MKAs are also included. Information in this dataset is primarily from sections N (Issues, Problems, and Social Services) and P (Closing) of the extended interview. The dataset contains one record for each focal child.

  2. Adult Pair Data. Included in this dataset is information collected from the extended interview about both the respondent and the respondent's spouse/partner. There is one observation per respondent and one per spouse (where applicable). Information in this dataset is primarily from sections I (Employment and Earnings) and L (Education and Training) of the extended interview.

  3. Random Adult Data. Information in this person-level dataset is specific to a randomly selected adult, either the respondent or the spouse/partner. This situation occurs only in sections E (Health Insurance Coverage) and F (Health Care Access and Utilization) of the extended interview.

  4. Childless Adult Data. This dataset contains data elements from the extended interview that are asked only of the respondent in Option B interviews. Variables in this dataset come mainly from section N (Issue, Problems, and Social Services) and P (Closing). There is one record per Option B interview in the dataset.

  5. Family-Respondent Data. Information in this dataset centers around information about the family's use of health care and social services. This family-level dataset contains one observation per respondent. Because there could be more than one respondent per family, family-respondent level variables may have different values within a single family.

  6. Household Data. This household-level dataset contains general information about the household such as the demographic characteristics of its members. Also contained in this dataset are administrative and process data such as housing subsidies, public housing, the number of bedrooms in the house, whether the home is owned or rented, and information pertaining to screeners and the completion of interviews.

  7. Person Data. This dataset contains one observation for each person living in the household. Included in this dataset is demographic information as well as information on current health insurance status and income.

  8. Social Family Data. Included in this dataset are items asked about the social family and variables aggregated at the social family level. The social family includes not only married partners and their children, but also unmarried partners, all of their children, and members of the extended family (anyone related by blood to the MKA, the spouse/partner, or their children). Among the survey items included are those variables indicating whether anyone in the social family had a particular type of income and health insurance. Also included are variables summarizing information across all members of a social family, such as the number of family members. There is one record for each social family.

  9. CPS Family Data. Since the social family definition was used in fielding the NSAF, this dataset includes only variables created using the Current Population Survey (CPS) definition of family. A CPS family includes the householder, spouse of family householder, children in the family, and other relatives of the family household respondent. There is one record for each CPS family in this dataset.

The National Survey of Children's Health, funded by the Maternal and Child Health Bureau (MCHB), is a module of the State and Local Area Integrated Telephone Survey (SLAITS) that is conducted by the National Center for Health Statistics (NCHS) at the Centers for Disease Control and Prevention (CDC).

The survey was conducted to assess how well each state, and the nation as a whole, met MCHB's strategic plan goals and national performance measures. These goals include providing national leadership for maternal and child health, promoting an environment that supports maternal and child health, eliminating health barriers and disparities, improving the health infrastructure and systems of care, assuring quality care, working with states and communities to plan and implement policies and programs to improve the social, emotional, and physical environment, and acquiring the best available evidence to develop and promote guidelines and practices to assure a social, emotional, and physical environment that supports the health and well-being of women and children.

The National Survey of Children's Health (NSCH) was designed to produce national- and state-specific prevalence estimates for a variety of physical, emotional, and behavioral health indicators and measures of children's experiences with the health care system. Respondents were asked an extensive battery of questions about the family, including parental health, stress and coping behaviors, family activities, and parental concerns about their children, as well as their perceptions of the child's neighborhood.

Demographic information includes race, gender, family income, and education level.

This study builds on a 20-year longitudinal investigation of the lives and relationship experiences of a large, diverse sample of young adult women and men interviewed first as adolescents. It focuses on the phenomenon of social distancing.

The COVID-19 survey (online) module and in-depth (phone) interviews with subsamples of compliant and less than compliant respondents has three specific aims: a) identify life course experiences and social influences associated with variability in compliance with social distancing recommendations, b) examine relationship-based dynamics and other contingencies (e.g., economic) linked to compliance decision-making, and particularly factors associated with 'derailments' after initially intending to comply with these guidelines, and c) assess consequences of social distancing for emotional and behavioral health and relationship functioning (e.g., depression, substance use, intimate partner conflict).

The Toledo Adolescent Relationships Study (TARS) includes six prior waves of data that were collected in 2001, 2002, 2004, 2006, 2011, and 2018 through 2020. Please see the ICPSR Series page for available studies.

The Women's Employment Study, or "WES" combined the insights of poverty researchers, epidemiologists, and social workers by analyzing the ways in which a broad range of labor market, mental health, physical health, and family problems affect a welfare recipient's ability to obtain and retain employment over time.

WES initially began in the Fall of 1997, and five waves of the survey were completed by early 2004, with a high proportion of the original panel sample retained throughout the study.

The unique aspects of WES rest largely with the broad range of barriers it measures, and the longitudinal nature of the study that allows researchers to look at employment and welfare experiences over time.