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The 1915 Iowa State Census is a unique document. It was the first census in the United States to include information on education and income prior to the United States Federal Census of 1940. It contains considerable detail on other aspects of individuals and households, e.g., religion, wealth and years in the United States and Iowa. The Iowa State Census of 1915 was a complete sample of the residents of the state and the returns were written by census takers (assessors) on index cards. These cards were kept in the Iowa State Archives in Des Moines and were microfilmed in 1986 by the Genealogical Society of Salt Lake City. The census cards were sorted by county, although large cities (those having more than 25,000 residents) were grouped separately. Within each county or large city, records were alphabetized by last name and within last name by first name. This data set includes individual-level records for three of the largest Iowa cities (Des Moines, Dubuque, and Davenport; the Sioux City films were unreadable) and for ten counties that did not contain a large city. (Additional details on sample selection are available in the documentation). Variables include name, age, place of residence, earnings, education, birthplace, religion, marital status, race, occupation, military service, among others. Data on familial ties between records are also included.

The 2001 Chilean Social Mobility Survey examined inter-generational and intra-generational mobility in Chile. The data contain information on adult Chilean men's education, migration, current job, first job, social origins (parents' education, occupation, assets and living standards when the respondent was 14 years old), wife/partner, inter-generational transfers, household income and assets, respondent's siblings and focal brother, and respondent's opinions about inequality and determinants of economic well-being. Demographic variables include sex, age, education level, and socio-economic status.

The 500 Family Study was designed to obtain in-depth information on middle class, dual-career families living in the United States. To understand the complex dynamics of today's families and the strategies they use to balance the demands of work and family, over 500 families from 8 cities across the United States were studied. To address different issues facing parents with older and younger children, families with adolescents and families with kindergartners were included in the sample. Working mothers and fathers are now splitting their time between their responsibilities to their family, and to their respective occupations. This study of 500 families explores how work affects the lives and well-being of parents and their children. The study's data allows researchers to explore a broad range of questions: How do dual-career families manage and organize their resources and time between family and work? How do work conditions, including characteristics of the job and workplace environment, affect the quality of relationships among household members? How do dual career parents manage the moral and social development and learning experiences of their children? How do the work-related responsibilities of working parents affect their child's moral, social, and educational development? What effect is consumerism and technology having on how working families direct the moral and social development of their children? What do parents believe is their role regarding the child-care of their children and how they should fulfill that role both in terms of time and in the allocation of economic and social resources? What are some of the resources in the community that parents use to supervise their children? How do families regard the "free time" of adolescents and how they allocate adolescent "free time" in maintenance of the household? What is the quality of relationships among family members? To obtain a detailed picture of work and family life, mothers, fathers, and their children were asked to complete a series of instruments including surveys, in-depth interviews, and time diaries. These instruments were designed to provide information about work, marriage, child care and parental supervision, management of household tasks, time allocations, coping strategies, and psychological well-being. The four datasets associated with this data collection are summarized below: The Cortisol Data contains information for a subsample of families that elected to participate in a study of psychological stress. Parents and teenagers who agreed to participate completed an additional two days of ESM data collection. The health survey that was administered reported on a variety of health and lifestyle issues that might affect cortisol (stress hormone) levels such as medication use, consumption of caffeine and alcohol, use of nicotine, timing of menstrual cycle, pregnancy, presence of chronic illness, and respondent's height and weight. Additionally, parents reported on the health of the children (teenagers and kindergartners) participating in the study. The Experience Sampling Method (ESM) Data contains a variety of information related to how individuals spend their time, who they spent it with, and what activities they were engaged in over the course of a typica,l week. Respondents wore programmed wrist watches that emitted signals (beeps) throughout the day. When possible, family members were placed on identical signaling schedules to provide information on a range of family activities. At the time of each beep, participants were asked to complete a self-report form which asked them to answer a number of open-ended questions about their location, activities, who they were with, and psychological states. Several Likert and semantic-differential scales were used to assess participants' psychological states. The Parent Data contains basic demographic information from respondents as well as detailed information about parents' occupation job duties, income, work schedule, benefits (e.g., medical care, flexible work schedules, and family leave), and the consequences of their jobs (e.g. long hours, job stress, having to work weekends). Additionally, the data contain information about the extent to which parents experienced work-family conflict and what changes might help with better balance of the demands of work and family (e.g., more flexible work hours, more help from spouses with household and child care responsibilities, improved child care, and after-school care arrangements). Parental attitudes toward traditional arrangements, how household tasks were actually divided among family members, and how often the family paid for services (e.g., cleaning, yard work, meal preparation) were also captured. The data also contain information about how children are socialized in families with two working parents. Topics about the frequency with which parents engaged in various activities with their children (e.g., talking, eating meals together, attending religious services), how frequently parents monitored their teenager's activities, and how often they talked with their teenager about school activities, plans for college, career plans, friendships, and peer pressure. The Adolescent Data contains data for sixth through twelfth graders, which focuses on family relationships and experiences, school experiences, paid work, psychological well-being and behavioral problems, and plans for the future (e.g., college, career, and marriage -- including expectations regarding spouses' sharing of responsibility for child care, cooking, chores, and paid work). To allow for comparison of parents' and adolescents' responses to similar questions, several items appear in both the adolescent and parent data. These items include the frequency with which parents and adolescents discuss school events, college and career plans, participation in religious and other activities, gender role attitudes and the division of household tasks within the family, and items measuring depression, stress, and anxiety. Qualitative Data -- Interviews The main purpose of the interviews was to explore topics addressed in the parent and adolescent surveys in greater detail. Parent interviews were designed to examine how working parents cope with the demands of work and family life. Adolescent interviews touched on similar themes but altered questions to gauge the adolescent's perceptions of their parents work and family lives. Kindergartner interviews were brief and focused on children's after-school and child care arrangements and time spent with parents.

This survey was undertaken to record changes in views about aging among older people as well as younger adults. In the seven years after the benchmark study MYTH AND REALITY OF AGING, 1974 (ICPSR 7657) was conducted, a number of significant social and demographic changes occurred in American society, some profound economic trends continued, suspicions grew about an impending financial crisis in the Social Security system, and new priorities emerged at both the national and local political levels. AGING IN THE EIGHTIES updates topics from MYTH AND REALITY OF AGING with items relating to the experience of aging, social activities and the involvement of the elderly, expectations and attitudes about retirement, and preparation for retirement. Other major issues were explored for the first time, including the economics of aging and retirement, the changing face of retirement and employment after 65, Social Security and the role of government, health status, and health care.

These instructional materials were prepared for use with AGRICULTURAL AND DEMOGRAPHIC RECORDS FOR HOUSEHOLDS IN THE NORTH, 1860 (ICPSR 7420), compiled by Fred Bateman and James D. Foust. The data file and accompanying documentation are provided to assist educators in (an SPSS portable file) instructing students about the history of agriculture and rural life in the North, just prior to the Civil War. An instructor's handout has also been included. This handout contains the following sections, among others: (1) General goals for student analysis of quantitative datasets, (2) Specific goals in studying this dataset, (3) Suggested appropriate courses for use of the dataset, (4) Tips for using the dataset, and (5) Related secondary source readings. Demographic, occupational, and economic information for over 21,000 rural households in the northern United States in 1860 are presented in the dataset. The data were obtained from the manuscript agricultural and population schedules of the 1860 United States Census and are provided for all households in a single township from each of the 102 randomly-selected counties in 16 northern states. Variables in the dataset include farm values, livestock, and crop production figures for the households that owned or operated farms (over half the households sampled), as well as value of real and personal estate, color, sex, age, literacy, school attendance, occupation, place of birth, and parents' nationality of all individuals residing in the sampled townships.

The American Family Health Study (AFHS) focuses on a special group of households from across the United States that were randomly selected to take part in a study aimed at assessing the health of American individuals and families from 2020-2022. Randomly selected households initially received a link enabling a household member to complete a short questionnaire online, where researchers collected some simple information about the people who usually live in the sampled household.

The metropolitan survey is conducted in even-numbered years, cycling through a set of 41 metropolitan areas, surveying each one about once every 6 years. This data collection provides information on the characteristics of a metropolitan sample of housing units, including apartments, single-family homes, mobile homes, and vacant housing units. The data are presented in seven separate parts: Part 1, Work Done Record (Replacement or Addition to the House), Part 2, Journey to Work Record, Part 3, Mortgages (Owners Only), Part 4, Housing Unit Record (Main Record), Recodes (One Record per Housing Unit), and Weights, Part 5, Manager and Owner Record (Renters Only), Part 6, Person Record, and Part 7, Mover Group Record. Data include year the structure was built, type and number of living quarters, occupancy status, access, number of rooms, presence of commercial establishments on the property, and property value. Additional data focus on kitchen and plumbing facilities, types of heating fuel used, source of water, sewage disposal, heating and air-conditioning equipment, and major additions, alterations, or repairs to the property. Information provided on housing expenses includes monthly mortgage or rent payments, cost of services such as utilities, garbage collection, and property insurance, and amount of real estate taxes paid in the previous year. Also included is information on whether the household received government assistance to help pay heating or cooling costs or for other energy-related services. Similar data are provided for housing units previously occupied by respondents who had recently moved. Additionally, indicators of housing and neighborhood quality are supplied. Housing quality variables include privacy of bedrooms, condition of kitchen facilities, basement or roof leakage, breakdowns of plumbing facilities and equipment, and overall opinion of the structure. For quality of neighborhood, variables include use of exterminator services, existence of boarded-up buildings, and overall quality of the neighborhood. In addition to housing characteristics, some demographic data are provided on household members, such as age, sex, race, marital status, income, and relationship to householder. Additional data provided on the householder include years of school completed, Spanish origin, length of residence, and length of occupancy.

Cape Area Panel Study (CAPS) is a longitudinal study of the lives of 4,800 young adults in Cape Town, South Africa. The Wave I sample was a representative sample of young people who were age 14 to 22 in 2002. In addition to interviews with these young people, the survey included information on all household members, non-resident children of household members, and non-resident parents and grandparents of the young adults. The Wave I survey covered topics such as school, work, health, sexual activity, and fertility, including an extensive life history calendar.

Cebu Longitudinal Health and Nutrition Survey (CLHNS) is a study of Filipino women who gave birth between May 1, 1983 and April 30, 1984. The CLHNS collects information on infant feeding patterns, particularly the overall sequencing of feeding events (i.e., of both milk and nonmilk items), the various factors affecting feeding decisions at each point in time, and how different feeding patterns affect the infant, mother, and household. The intent is to understand how infant feeding decisions by the household interact with various social, economic, and environmental factors to affect health, nutitional, demographic, and economic outcomes. The Cebu cohort of mothers, infants, and for many surveys their siblings, has been followed for a number of economic, demographic and health related follow-up surveys. The description of these follow-up surveys and access to them is found on the Carolina Population Center Web site.

The Chicago Longitudinal Study investigates the educational and social development of a same-age cohort of 1,539 low-income, minority children (93 percent African American) who grew up in high-poverty neighborhoods in central-city Chicago and attended government-funded kindergarten programs in the Chicago Public Schools in 1985-1986. Children were at risk of poor outcomes because they face social-environmental disadvantages including neighborhood poverty, family low-income status, and other economic and educational hardships. Study Goals The CLS is guided by four major goals: To document patterns of school performance and social competence throughout the school-age years, including their school achievement and attitudes, academic progress, and psychosocial development. To evaluate the effects of the Child-Parent Center and Expansion Program on child and youth development. Children and families had the opportunity to participate in this unique Head Start type early childhood intervention from ages three to nine (preschool to third grade). To identify and better understand the educational and psychosocial pathways through which the effects of early childhood experiences are manifested, and more generally, through which scholastic and behavioral development proceeds. To investigate the contributions to children's educational and social development of a variety of personal, family, school, and community factors, especially those that can be altered by program or policy interventions to prevent learning difficulties and promote positive outcomes. Studies addressing the first two goals have been reported extensively. Participation in the Child-Parent Center Program for different lengths of time, for example, has been found to be significantly associated with higher levels of school achievement into adolescence, with higher levels of consumer skills, with enhanced parent involvement in children's education, and with lower rates of grade retention and special education, lower rates of early school dropout, and with lower rates of delinquent behavior (Reynolds, 1994, 1995, 2000; Reynolds and Temple, 1995, 1998; Temple, Reynolds, and Miedel, in press). Children's patterns of school and social adjustment over time (Reynolds and Bezruczko, 1993; Reynolds and Gill, 1994; Reynolds, 2000) as well as several methodological contributions (Reynolds and Temple, 1995; Reynolds, 1998a, 1998b) also have been reported elsewhere. Examples of studies addressing goals three and four are reported in a special issue of the Journal of School Psychology (Reynolds, 1999). The Chicago Longitudinal Study is particularly appropriate for addressing these and other goals for two reasons. First, the CLS is one of the most extensive and comprehensive studies undertaken of a low-income, urban sample. Data were collected beginning during children's preschool years and have continued on a yearly basis throughout the school-age years. Multiple sources of data have been utilized in this on-going study, including teacher surveys, child surveys and interviews, parent surveys and interviews, school administrative records, standardized tests, and classroom observations. Thus, the impact of a variety of individual, family, and school-related factors can be investigated. A second unique feature of the CLS is that although the project concerns child development, an ,emphasis is given to factors and experiences that are alterable by program or policy intervention both within and outside of schools. Besides information on early childhood intervention, information has been collected on classroom adjustment, parent involvement and parenting practices, grade retention and special education placement, school mobility, educational expectations of children, teachers, and parents, and on the school learning environment.

This project was a mixed-method, multi-level study of low income families of children with special needs and the system which served them, focusing primarily on child care, employment, and balancing work and family. This approach included an analysis of existing national and state-level data sets, statewide surveys of parents and child care providers, and a field study to look at these issues at the local level in three selected communities in the state of Maine: Portland, Lewiston/Auburn, and Presque Isle. While the primary focus was on access to child care, this project also looked at the related issues of welfare reform, the impact of work force participation on having a child with special needs, and the issue of coordination of early intervention services with the child care system. The goal was to understand better the issues facing low income families with special needs children across the programs and policies affecting their employment, access to child care, and meeting the special needs of their children. In the first year of the study, qualitative research was conducted to learn directly from parents about their experiences. In the second and third years, a field study of three communities was conducted as well as statewide surveys and analysis of national data bases to supplement the data collected in the first year. This data collection is comprised of the two quantitative data files produced during the second and third years of the study which are described in more detail below. Child Care Provider Survey: The Child Care Provider Survey was a statewide survey of child care providers selected at random from the list of licensed providers in Maine given by the state licensing agency. Questions focused on the perspective of child care providers on the issues of access and inclusion that parents raised. Parent Survey: The Parent Survey was a statewide survey of parents and children aged 0-18 years with diagnosed special needs (enrolled in Maine Care - Katie Beckett and Title V eligibility groups - and Child Development Services early intervention caseloads). Questions focused on child care utilization and work experiences in relation to children with special needs. Researchers interested in information about the qualitative data should contact the Child Care and Children with Special Needs Project Web site.

Children of Immigrants Longitudinal Study (CILS) was designed to study the adaptation process of the immigrant second generation which is defined broadly as United States-born children with at least one foreign-born parent or children born abroad but brought at an early age to the United States. The original survey was conducted with large samples of second-generation immigrant children attending the 8th and 9th grades in public and private schools in the metropolitan areas of Miami/Ft. Lauderdale in Florida and San Diego, California. Conducted in 1992, the first survey had the purpose of ascertaining baseline information on immigrant families, children's demographic characteristics, language use, self-identities, and academic attainment. The total sample size was 5,262. Respondents came from 77 different nationalities, although the sample reflects the most sizable immigrant nationalities in each area. Three years later, corresponding to the time in which respondents were about to graduate from high school, the first follow-up survey was conducted. Its purpose was to examine the evolution of key adaptation outcomes including language knowledge and preference, ethnic identity, self-esteem, and academic attainment over the adolescent years. The survey also sought to establish the proportion of second-generation youths who dropped out of school before graduation. This follow-up survey retrieved 4,288 respondents or 81.5 percent of the original sample. Together with this follow-up survey, a parental survey was conducted. The purpose of this interview was to establish directly characteristics of immigrant parents and families and their outlooks for the future including aspirations and plans for the children. Since many immigrant parents did not understand English, this questionnaire was translated and administered in six different foreign languages. In total, 2,442 parents or 46 percent of the original student sample were interviewed. During 2001-2003, or a decade after the original survey, a final follow-up was conducted. The sample now averaged 24 years of age and, hence, patterns of adaptation in early adulthood could be readily assessed. The original and follow-up surveys were conducted mostly in schools attended by respondents, greatly facilitating access to them. Most respondents had already left school by the time of the second follow-up so they had to be contacted individually in their place of work or residence. Respondents were located not only in the San Diego and Miami areas, but also in more than 30 different states, with some surveys returned from military bases overseas. Mailed questionnaires were the principal source of completed data in this third survey. In total, CILS-III retrieved complete or partial information on 3,613 respondents representing 68.9 percent of the original sample and 84.3 percent of the first follow-up.Relevant adaptation outcomes measured in this survey include educational attainment, employment and occupational status, income, civil status and ethnicity of spouses/partners, political attitudes and participation, ethnic and racial identities, delinquency and incarceration, attitudes and levels of identification with American society, and plans for the future.

The purpose of this project was to measure and estimate the distribution of income 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: payments in kind valued at market prices, agricultural output produced for self-consumption valued at market prices, the value of ration coupons and other direct subsidies, and the imputed value of housing. The rural component of this collection consists of two data files, one in which the individual is the unit of analysis and a second in which the household is the unit of analysis. Individual rural respondents reported on their employment status, level of education, Communist Party membership, type of employer (e.g., public, private, or foreign), type of economic sector in which employed, occupation, whether they held a second job, retirement status, monthly pension, monthly wage, and other sources of income. Demographic variables include relationship to householder, gender, age, and student status. Rural households reported extensively on the character of the household and residence. Information was elicited on type of terrain surrounding the house, geographic position, type of house, and availability of electricity. Also reported were sources of household income (e.g., farming, industry, government, rents, and interest), taxes paid, value of farm, total amount and type of cultivated land, financial assets and debts, quantity and value of various crops (e.g., grains, cotton, flax, sugar, tobacco, fruits and vegetables, tea, seeds, nuts, lumber, livestock and poultry, eggs, fish and shrimp, wool, honey, and silkworm cocoons), amount of grain purchased or provided by a collective, use of chemical fertilizers, gasoline, and oil, quantity and value of agricultural machinery, and all household expenditures (e.g., food, fuel, medicine, education, transportation, and electricity). The urban component of this collection also consists of two data files, one in which the individual is the unit of analysis and a second in which the household is the unit of analysis. Individual urban respondents reported on their economic status within the household, Communist Party membership, sex, age, nature of employment, and relationship to the household head. Information was collected on all types and sources of income from each member of the household whether working, nonworking, or retired, all revenue received by owners of private or individual enterprises, and all in-kind payments (e.g., food and durable and non-durable goods). Urban households reported total income (including salaries, interest on savings and bonds, dividends, rent, leases, alimony, gifts, and boarding fees), all types and values of food rations received, and total debt. Information was also gathered on household accommodations and living conditions, including number of rooms, total living area in square meters, availability and cost of running water, sanitary facilities, heating and air-conditioning equipment, kitchen availability, location of residence, ownership of home, and availability of electricity and telephone. Households reported on all of their expenditures including amounts spent on food items such as wheat, rice, edible oils, pork, beef and mutton, poultry, fish and seafood, sugar, and vegetables by means of both coupons in state-owned stores and at free market prices. Information was also collected o,n rents paid by the households, fuel available, type of transportation used, and availability and use of medical and child care. 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 purpose of this project was to measure and estimate the distribution of personal income 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: payments in kind valued at market prices, agricultural output produced for self-consumption valued at market prices, the value of food and other direct subsidies, and the imputed value of housing services. The rural component of this collection consists of two data files, one in which the individual is the unit of analysis (Part 1) and a second in which the household is the unit of analysis (Part 2). Individual rural respondents reported on their employment status, level of education, Communist Party membership, type of employer (e.g., public, private, or foreign), type of economic sector in which they were employed, occupation, whether they held a second job, retirement status, monthly pension, monthly wage, and other sources of income. Demographic variables include relationship to householder, gender, age, and student status. Rural households reported extensively on the character of the household and residence. Information was elicited on type of terrain surrounding the house, geographic position, type of house, and availability of electricity. Also reported were sources of household income (e.g., farming, industry, government, rents, and interest), taxes paid, value of farm, total amount and type of cultivated land, financial assets and debts, quantity and value of various crops, amount of grain purchased or provided by a collective, use of chemical fertilizers, gasoline, and oil, quantity and value of agricultural machinery, and all household expenditures (e.g., food, fuel, medicine, education, transportation, and electricity). The urban component of this collection also consists of two data files, one in which the individual is the unit of analysis (Part 3) and a second in which the household is the unit of analysis (Part 4). Individual urban respondents reported on their economic status within the household, Communist Party membership, sex, age, nature of employment, and relationship to the household head. Information was collected on all types and sources of income from each member of the household whether working, nonworking, or retired, all revenue received by owners of private or individual enterprises, and all in-kind payments (e.g., food, durable goods, and nondurable goods). Urban households reported total income (including salaries, interest on savings and bonds, dividends, rent, leases, alimony, gifts, and boarding fees), all types and values of food subsidies received, and total debt. Information was also gathered on household accommodations and living conditions, including number of rooms, total living area in square meters, availability and cost of running water, sanitary facilities, heating and air-conditioning equipment, kitchen availability, location of residence, ownership of home, and availability of electricity and telephone. Households reported on all their expenditures including amounts spent on food items such as wheat, rice, edible oils, pork, beef and mutton, poultry, fish and seafood, sugar, and vegetables by means of coupons in state-owned stores and at free market prices. Information was also collected on rents paid by the households, fuel available, type of transportation used, and availability and use of medical and child c,are. 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 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 China Health and Nutrition Survey (CHNS), an ongoing open cohort, international collaborative project between the Carolina Population Center at the University of North Carolina at Chapel Hill and the National Institute of Nutrition and Food Safety at the Chinese Center for Disease Control and Prevention, was designed to examine the effects of the health, nutrition, and family planning policies and programs implemented by national and local governments and to see how the social and economic transformation of Chinese society is affecting the health and nutritional status of its population. The impact on nutrition and health behaviors and outcomes is gauged by changes in community organizations and programs as well as by changes in sets of household and individual economic, demographic, and social factors.

The China Multi-Generational Panel Dataset - Liaoning (CMGPD-LN) is drawn from the population registers compiled by the Imperial Household Agency (neiwufu) in Shengjing, currently the northeast Chinese province of Liaoning, between 1749 and 1909. It provides 1.5 million triennial observations of more than 260,000 residents from 698 communities. The population mainly consists of immigrants from North China who settled in rural Liaoning during the early eighteenth century, and their descendants. The data provide socioeconomic, demographic, and other characteristics for individuals, households, and communities, and record demographic outcomes such as marriage, fertility, and mortality. The data also record specific disabilities for a subset of adult males. Additionally, the collection includes monthly and annual grain price data, custom records for the city of Yingkou, as well as information regarding natural disasters, such as floods, droughts, and earthquakes. This dataset is unique among publicly available population databases because of its time span, volume, detail, and completeness of recording, and because it provides longitudinal data not just on individuals, but on their households, descent groups, and communities.

The China Multi-Generational Panel Dataset - Shuangcheng (CMGPD-SC) provides longitudinal individual, household, and community information on the demographic and socioeconomic characteristics of a resettled population living in Shuangcheng, a county in present-day Heilongjiang Province of Northeastern China, for the period from 1866 to 1913. The dataset includes some 1.3 million annual observations of over 100,000 unique individuals descended from families who were relocated to Shuangcheng in the early 19th century. These families were divided into 3 categories based on their place of origin: metropolitan bannermen, rural bannermen, and floating bannermen. The CMGPD-SC, like its Liaoning counterpart, the CMGPD-LN (ICPSR 27063), is a valuable data source for studying longitudinal as well as multi-generational social and demographic processes. The population categories had salient differences in social origins and land entitlements, and landholding data are available at a number of time periods, thus the CMGPD-SC is especially suitable to the study of stratification processes.

The Chitwan Valley Family Study (CVFS) is a comprehensive family panel study of individuals, households, and communities in the Chitwan Valley of Nepal. The study was initially designed to investigate the influence of changing community and household contexts on population outcomes such as marital and childbearing processes. Over time, the goals of the study expanded to investigate family dynamics, intergenerational influences, child health, migration, labor force participation, attitudes and beliefs, mental health, agricultural production, environmental change, and many other topics. The data include full life histories for more than 10,000 individuals, tracking and interviews with all migrants, continuous measurement of community change, over 25 years of demographic event registry, and many other data collections. For additional information regarding the Chitwan Valley Family Study, please visit the Chitwan Valley Family Study Website. A Data Guide for this study is available as a webpage and for download. Principal Investigators William G. Axinn, University of Michigan Dirgha Ghimire, University of Michigan Jordan Smoller, Massachusetts General Hospital

The Chitwan Valley [Nepal] Family Study: Labor Outmigration, Agricultural Productivity and Food Security is a three year project with the aim to investigate the consequences of labor outmigration on agricultural productivity in a poor agricultural country persistently facing food security problems. A Data Guide for this study is available as a webpage and for download. This project's data collection is made up of twenty-five datasets: Datasets 1-6: The Household Agriculture and Migration Survey includes information on household agricultural practices and remittances received by the household. Face-to-face interviews were conducted to collect data from household members who previously participated in the Chitwan Valley Family Study (ICPSR 4538). Topics of the survey include crop production and farm technology use, wealth, assets, income, consumption, food security and information about each household member currently away from home. The survey also collected information on gender, ethnicity, and age. Datasets 7-16: Measured yields of major crops grown by farm households that previously participated in the Chitwan Valley Family Study (ICPSR 4538). Dataset 17: A monthly demographic event registry administered to all households that previously participated in the Chitwan Valley Family Study (ICPSR 4538). Datasets 18-23: The Women's Time Use Survey was designed and administered to married, Nepalese women to collect information on changes in their time and involvement in agriculture and other activities. Face-to-face interviews and telephone interviews were conducted to collect data from women who previously participated in the Chitwan Valley Family Study (ICPSR 4538). The collection covered a range of topics including farm work, hygiene, finances, health, and religion. Further, respondents were queried concerning socialization and assisting children and the elderly. Datasets 24-25: The Women's Time Use Survey was designed and administered to married, Nepalese women to collect information on changes in their time and involvement in agriculture and other activities. Face-to-face interviews and telephone interviews were conducted to collect data from women who previously participated in the Chitwan Valley Family Study (ICPSR 4538).

This collection comprises the second round of the Community Tracking Study (CTS) Household Survey and the second round of the CTS Followback Survey. The CTS, sponsored by the Robert Wood Johnson Foundation, is a national study designed to track changes in the health care system and their effects on care delivery and individuals. Fifty-one metropolitan areas and nine nonmetropolitan areas were randomly selected to form the core of the CTS and to be representative of the nation as a whole. As in the first round of the Household Survey (COMMUNITY TRACKING STUDY HOUSEHOLD SURVEY, 1996-1997, AND FOLLOWBACK SURVEY, 1997-1998: [UNITED STATES] (ICPSR 2524)), the second round of the Household Survey was administered to households in the 60 CTS sites and to a supplemental national sample of households. Respondents provided information about household composition and demographic characteristics, health insurance coverage, use of health services, unmet health care needs, out-of-pocket expenses for health care, usual source of care, patient trust and satisfaction, last visit to a medical provider, health status and presence of chronic health conditions, risk behaviors and smoking, and employment, earnings, and income. The purpose of the Followback Survey was to obtain detailed information on private health insurance coverage reported in the Household Survey. It was administered to the health plans and other organizations (managed care organizations, third-party administrators, employer or union plans, and employers) that offered or administered the respondents' comprehensive private health insurance policies. Information on private health insurance policies collected by the Followback Survey includes product type, gatekeeping, consumer cost sharing, provider payment methods, and coverage of mental health and/or substance abuse services.

This longitudinal study focused on examining the consequences of recent parental divorce for young adults (initially ages 18-23) whose parents had divorced within 15 months of the study's first wave (1990-91). The sample consisted of 257 White respondents with newly divorced parents and 228 White respondents who comprised an intact-family comparison group. A life course framework guided the study that focused heavily on young adult transition behaviors (entries and exits from home, work, school, cohabitation and marriage relationships, parenthood), family relationships (relationships with mother and father, siblings, grandparents), and well-being and adjustment (depression, coping). For respondents in the divorced-parents group, additional questions were asked about specific aspects of the divorce and their involvement in it. A follow-up telephone interview conducted two years later assessed life changes and subsequent adjustment over time for both groups of respondents. Specific questions addressed the sexual history of respondents and their most recent sexual partner, including the perceived risk of HIV/AIDS, history of sexual transmitted disease, the use of contraception, how much information they had shared with each other regarding their sexual attitudes and behaviors, and respondent's knowledge of the AIDS virus. Information was also collected on marital/cohabitation history, employment history, reproductive history, including the number and outcome of all pregnancies, physical and mental health, and tobacco, alcohol and drug use. Demographic variables include respondent's sex, age, occupation, employment status, marital/cohabitation status, number of children, current enrollment in school, past and present religious preferences, frequency of religious attendance, military service, and the number, sex, and age of siblings. Demographic information also includes the age, education level, employment status, and annual income of the respondent's parents, as well as the age, race, and education level of the respondent's most recent sexual partner. For those respondents whose parents were recently divorced, demographic information was collected on each parent's current marital status and the age of their new spouse or partner.

Social and demographic characteristics of over 23,000 families living in Indiana in 1820 are contained in this dataset. These data were obtained from the manuscript schedules of the 1820 United States Census. They were initially recorded on punch cards by the Geneological Section of the Indiana Historical Society, the cards were donated to John Modell, at the University of Minnesota, who corrected some discrepancies which he found in them. Included in the dataset are variables describing the age, sex, and racial composition of each household, as well as the location of the households and characteristics of nearly every household located in Indiana in 1820, except for those in Daviess county, whose manuscript census schedules for that year were destroyed.

The Dominican Republic Labor Market Survey includes information on housing characteristics and person-records for a 1980 national and 1983 urban sample. The original in-person survey was taken on household enumeration forms, with a sample included in the documentation. Data files contain 13,283 person-records in the order of the original questionnaire (provided in documentation). A household unique number can be matched to the person-records, allowing a variety of analyses. For more information on the data or for any questions about the data, please contact Pamela Paxton at ppaxton@prc.utexas.edu.

The Early Childhood Longitudinal Study (ECLS) is designed to provide decision makers, researchers, child care providers, teachers, and parents with detailed information about children's early life experiences. The birth cohort of the Early Childhood Longitudinal Study (ECLS-B) looks at children's health, development, care, and education during the formative years from birth through first grade. This second wave of the data was collected when the cohort was approximately two years of age. During the two-year collection, the BSF-R again was used to measure cognitive and motor development. A different taped interaction, the Two Bags Task, was used to assess children's socioemotional development. A modified Q-sort was included in the two-year collection to assess the quality of children's attachment to their primary caregiver. Again, all children had their height, weight, and middle-upper arm circumference (MUAC) measured, and children born with very low birth weight had their head circumference measured.

The Early Childhood Longitudinal Study (CLS) is designed to provide decision makers, researchers, child care providers, teachers, and parents with detailed information about children's early life experiences. The birth cohort of the Early Childhood Longitudinal Study (ECLS-B) looks at children's health, development, care, and education during the formative years from birth through first grade. This first wave of the data was collected when study children were approximately nine months of age. Children's cognitive and motor skills were assessed using a modified version of the Bayley Scales of Infant Development (BSID-II), called the Bayley Short Form-Research Edition (BSF-R). Children's socioemotional development was assessed through a taped interaction with their primary caregiver (i.e., the parent respondent) using the Nursing Child Assessment Teaching Scale (NCATS). All children had their length (i.e., height), weight, and middle-upper arm circumference (MUAC) measured. Additionally, children born with very low birth weight had their head circumference measured.

The Early Childhood Longitudinal Study, Kindergarten Class of 1998-1999 (ECLS-K) focuses on children's early school experiences beginning with kindergarten through fifth grade. It is a nationally representative sample that collects information from children, their families, their teachers, and their schools. ECLS-K provides data about the effects of a wide range of family, school, community, and individual variables on children's development, early learning, and early performance in school. This data collection contains the wave of data collected in the spring of third grade (2002). The third-grade data collection includes information about the diversity of the study children, the schools they attended, and their academic progress in the years following kindergarten. Other variables include child gender, child race, family background, childcare, childcare arrangements, food security, hours per week in child care, socioeconomic status, household income, highest level of education for parents and students, parents' employment status, teachers' evaluation practice, and usefulness of different activities in the classroom.

This dataset was produced in the 1990s by Myron Gutmann and others at the University of Texas to assess demographic change in European- and Mexican-origin populations in Texas from the mid-nineteenth to early-twentieth centuries. Most of the data come from manuscript records for six rural Texas counties - Angelina, DeWitt, Gillespie, Jack, Red River, and Webb - for the U.S. Censuses of 1850-1880 and 1900-1910, and tax records where available. Together, the populations of these counties reflect the cultural, ethnic, economic, and ecological diversity of rural Texas. Red River and Angelina Counties, in Eastern Texas, had largely native-born white and black populations and cotton economies. DeWitt County in Southeast Texas had the most diverse population, including European and Mexican immigrants as well as native-born white and black Americans, and its economy was divided between cotton and cattle. The population of Webb County, on the Mexican border, was almost entirely of Mexican origin, and economic activities included transportation services as well as cattle ranching. Gillespie County in Central Texas had a mostly European immigrant population and an economy devoted to cropping and livestock. Jack County in North-Central Texas was sparsely populated, mainly by native-born white cattle ranchers. These counties were selected to over-represent the European and Mexican immigrant populations. Slave schedules were not included, so there are no African Americans in the samples for 1850 or 1860. In some years and counties, the Census records were sub-sampled, using a letter-based sample with the family as the primary sampling unit (families were chosen if the surname of the head began with one of the sample letters for the county). In other counties and years, complete populations were transcribed from the Census microfilms. For details and sample sizes by county, see the County table in the Original P.I. Documentation section of the ICPSR Codebook, or see Gutmann, Myron P. and Kenneth H. Fliess, How to Study Southern Demography in the Nineteenth Century: Early Lessons of the Texas Demography Project (Austin: Texas Population Research Center Papers, no. 11.11, 1989).

The ethnographic fieldwork portion of the project - interviews with women of reproductive age, and when available their partners and mothers - was initiated and completed in 2006. For each of four Italian cities (Padua, Bologna, Cagliari, and Naples) studied ethnographically by trained anthropologists, both a working-class and a middle-class neighborhood were identified. These interviews (349 in number) have been transcribed without identifiers. All interviews have been coded and assigned 'attributes' (or nominative variables, such as gender, civil/religious status of marriage, etc.) using the qualitative data analysis software (NVIVO), and these reside in secure electronic project folders. This large body of qualitative interview data is now complete and ready for use across the international collaborative units. Preliminary research reveals the particular significance of family ties in Italy, the fundamental role played by gender systems, and the specific cultural, socio-economic, and politic contexts in which fertility behavior and parenting are embedded.

This study focused on household living arrangements of parents and adult children during times of financial instability. A survey of over 3,000 adults aged 18 years and older from the general population was conducted by Knowledge Networks on behalf of the National Center for Family and Marriage Research. The survey was completed by 3,132 respondents out of 4,478 cases (69.9 percent response rate). Measures include variables on financial responsibility between children and parents and a vignette on an adult child living with his parents.

This study focused on how financial difficulties may hinder or facilitate sound financial management. A survey of 1,000 adults aged 18 years and older from the general population was conducted by Knowledge Networks on behalf of the National Center for Family and Marriage Research. The survey was completed by 1,014 respondents out of 1,517 cases (66.8 percent response rate). Although financial behavior research is common in the literature, no financial behavior scale exists that is both multi-dimensional and psychometrically validated. Using data from a national sample, this study developed and examined the psychometric properties of a new scale of financial management behaviors. The Financial Behavior Scale (FBS) displayed adequate reliability (alpha = .81). Further, it was highly associated with other measures of financial behavior and discriminated between financial behaviors and time use behaviors. Finally, the scale was highly predictive of savings, consumer debt, and investments. Thus, the FBS appears to be a reliable and valid scale of financial behaviors.

This study focused on how families respond to financial instability and economic pressure. A survey of over 1,000 adults aged 18 years and older who have a child younger than 18 years at home was conducted by Knowledge Networks on behalf of the National Center for Family and Marriage Research. The survey was completed by 1,169 respondents out of 1,855 cases (63 percent response rate). In addition to the main survey, respondents were also administered a one-question survey about insurance. Along with the survey variables from the main and the one-question surveys, Knowledge Networks' standard profile, and a series of data processing variables created by Knowledge Networks are included in the data file for the eligible cases (n = 1,169). Measures included variables regarding income, financial stability, borrowing money, main expenditures, and health care coverage.

On behalf of the National Center for Family and Marriage Research, Knowledge Networks conducted a survey about financial management behaviors among 600 opposite sex married or cohabiting couples. Both partners were invited to participate in the survey at the same time. The data collection began on August 18, 2009, and continued through August 24, 2009. A total of 2,495 panelists were invited to participate in the survey. Among the 1,595 (64%) who responded to the survey, 1,264 (51%) were eligible and completed the questionnaire. Measures included variables on partner/relationship satisfaction, financial problems, and blame.

This dataset focuses on economic, social, and geographic mobility of town residents, and life events (marriage, birth and mortality). Church records supplemented with genealogies, wills, inventories, probate records, cemetery data, town books, court books, censuses, and tax lists were used to reconstitute families along the lines of previous French and English work (e.g. Fleury, M. and L. Henry, Nouveau manuel de dépouillement et d'exploitation de l'état civil ancient (1965) and Wrigley, E.A, "Family Reconstitution" in E.A. Wrigley, ed. An Introduction to English Historical Demography (1966). Family reconstitution is a method for studying demographic behavior in the absence of modern censuses and vital registration, providing for both observation of demographic events, as well as the population and time at risk. This dataset includes information about 202 couples and their 1094 children. The data on couples focus on demographic details for mothers and fathers, including birth, baptism, marriage and death dates, residence and religion. The data on children includes demographic information for the child, as well as marriage age and residence. Not all families have complete information.

This study was conducted in 1953 and 1954 in both urban and rural areas of Puerto Rico. The interviews explored the relationship between husband and wife in questions about family organization and role, degree of intimacy, sexual relations, and satisfaction with the marriage. Further variables probed attitudes toward children: ideal family size, the importance of children in marriage, and parent-child relations. The study also examined the respondents' attitudes toward birth control, knowledge of where to obtain birth control materials, and birth control methods the respondents used. Derived measures include several Guttman scales. Of the total sample, 566 interviews were conducted with wives only, and 322 with husbands and wives together.

This dataset contains data from a 1976 survey of 1,484 parents of 3- to 11-year-old children living in Cleveland and Cuyahoga County, Ohio. The purpose of the study was to explore in parents and their pre-adolescent children the process of learning about sexuality and the pattern of utilization of community resources regarding sexuality in the Cleveland, Ohio area (Cuyahoga County). Parents of pre-adolescents are the unit of analysis because they were seen as both the primary source of and the best reporters of their children's sexual learning. It was also seen as politically and socially impossible to conduct this research on the children directly. Where possible, both parents in two-parent families were interviewed. The intended use of the study was to influence the design and development of new policies and programs regarding sexuality in the Cleveland area. The collection contains data covering sexual topics in six general areas: (1) psychological aspects, (2) sexual functions, (3) relationships, (4) values, (5) media issues, and (6) sex roles. Specific sexual topics include: anatomy, reproduction, menstruation, masturbation, wet dreams, intercourse, homosexuality, sex play, marriage, parenting, divorce, displays of affection, love, fidelity, virginity, pre-marital sex, nudity, pornography, venereal disease, abortion, contraception, cross-sex behavior, sex segregation, and role expectations. The collection also contains data in eight main areas of learning and communication: (1) parents' experience with sexual learning and communication in the family, (2) parents' own sexual experience and attitudes, (3) parents' perceptions of their child's sexual learning and experience, (4) parents' expectations, desires, and attitudes about their child's sexual learning and behavior, (5) sex role attitudes and behavior of parents and children, (6) need for assistance and utilization of resources for sexual learning and communication, (7) parents and family demographics, and (8) possible sources of bias.

The First Malaysian Family Life Survey, 1976-1977 (MFLS-1), was conducted in Peninsular Malaysia as a retrospective life history survey of 1,262 households containing an ever-married woman aged 50 or younger. Full life histories were collected through personal interviews with these women and their husbands regarding fertility-related events, marriage, employment, migration, income and wealth, attitudes and expectations with respect to family size and composition, community characteristics, time allocation, and transfers of goods, help, and money between the respondents and others. The survey collected data in three separate rounds held at four-month intervals. The majority of the survey was administered in Round 1, while the second and third rounds collected data on new questions not asked in Round 1 and also updated some of the Round 1 data, most notably the work and pregnancy histories. In October 1981, the individual-level dataset (Part 142) was created, consisting of one fixed-length record per individual per household. Variables included at both the individual and household levels provide information on demographics, time allocation, and income and wealth. Due to processing constraints, most of the retrospective data have been omitted from the individual-level dataset.

The data are drawn from 28 families who were the first permanent European settlers in Andover, Massachusetts, and their progeny for three generations, reconstituted by Philip J. Greven for his PhD dissertation, Four Generations: A Study of Family Structure, Inheritance, and Mobility in Andover, Massachusetts, 1630-1750 (Harvard University, 1965). Greven used manuscript records of vital events, printed volumes of vital records, and published genealogies, supplemented with municipal and church records, gravestones, court records, and family records, following the methods developed in previous French and English work (e.g. Fleury, M. and L. Henry, Nouveau manuel de dépouillement et d'exploitation de l'état civil ancient (1965) and Wrigley, E.A, "Family Reconstitution," in E.A. Wrigley, ed. An Introduction to English Historical Demography (1966). Family reconstitution is a method for studying demographic behavior in the absence of modern censuses and vital registration, providing for both observation of demographic events as well as the population and time at risk. The data were collected to study population, land and the family for four generations in Andover, Massachusetts during the 17th and 18th centuries. The data include information on 455 marriages and 2,727 children, some of whom also appear as adults in the marriage records. The data on couples focus on demographic details for mothers and fathers, including birth, baptism, marriage, and death dates, and residence. The data on children include demographic information for the child, as well as their own marriages. Not all families have complete information. Greven's original Family Reconstitution Records were transcribed at ICPSR.

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: What are the conditions and capabilities of unmarried parents, especially fathers? What is the nature of the relationships between unmarried parents? How do children born into these families fare? 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). Documentation for these files is available on the FFCWS website located here. 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.

China's dramatic economic and educational changes over the past 20 years have stimulated concerns about the education of children in rural areas. Recent empirical studies give evidence of growing disparities in educational opportunities between urban and rural areas and socio-economic and geographic inequities in basic-level educational participation within rural areas. These studies also point to a persisting gender gap in enrollment and to the disproportionate impact of poverty on girls' educational participation (Hannum 1998b; Zhang 1998). This study focused on the influence of poverty on the schooling of 11 to 14 year-old children in rural Gansu, an interior province in Northwest China characterized by high rates of rural poverty and a substantial dropout problem. Substantively, this study was innovative in adopting an integrated approach: it focused on the community, family, and school contexts in which children are educated. Methodologically, the study combined information on children's academic performance and school characteristics, with a household-based sample that allowed examination of the academic experiences of children who have left the education system as well as those who have persisted in it. Finally, the project was the baseline wave for the first large-scale, longitudinal study devoted to education and social inequality conducted in rural China. Results of this study contribute to an understanding of basic social stratification processes and provide insights for developing intervention strategies to improve educational access and effectiveness in rural China. Wave 1 of this study (2000) has been archived and is available for download at ICPSR-DSDR. For information about Waves 2-4 (2004, 2007, 2009), please see the Gansu Survey of Children and Families Web site.

The 1955 Growth of American Families survey was the first in a series of surveys (later becoming the National Fertility Survey) that measured women's attitudes on various topics related to fertility and family planning. The sample was composed of 2,713 married women aged 18-39 living in the United States. The survey included the following main subjects: residence history, marital history, education, income, occupation and employment, religiosity, family background, attitude toward contraception, contraception use, pregnancies and births, fecundity, opinions on childbearing and rearing, and fertility expectations. Respondents were asked questions pertaining to their residence history, including if they owned or rented their home, and if they lived on a farm. A series of questions also dealt with the respondents' marital history, including when they first married and the month and year of subsequent marriages. Respondents were also asked to describe the level of education they had attained and that of their husbands. Respondents were also asked to give information with respect to income, both individual and household, and if their financial situation was better now compared to five years ago. Respondents were queried on their occupation, specifically on what exactly they did and in what kind of business. Similar questions were asked about their husbands' occupations. Also, they were asked what their reasons were for working. The survey sought information about the respondents' religious affiliation and with what frequency they attended church. Respondents were asked how many brothers and sisters they had as well as their attitude about the number of siblings in their household. Also included was a series of questions regarding the respondents' attitudes toward family planning. Respondents were asked if they and their husband thought it was acceptable for couples to use contraceptives to limit the size of their family. They were also queried about what specific methods of contraception they had used in the past, and after which pregnancy they started using a particular method. Respondents were asked whether they or their husband had had surgery to make them sterile and if there was any other reason to believe that they could not have children. Respondents were also asked if they thought raising a family was easier or harder now than when they were a child. Respondents were also asked what they believed was the ideal number of children for the average American family and what the ideal number of children would be, if at age 45, they could start their married life over. Other questions addressed how many children respondents expected to have before their family was completed and their reason for not wanting more or less than that number. Each respondent was also asked when she expected her next child.

The 1960 Growth of American Families survey was the second in a series of two surveys that measured women's attitudes on various topics relating to fertility and family planning for 3,256 currently married White women aged 18-44 living in private households, previously married White women aged 23-44, who were married and living with their husband in 1960, and currently married non-White women aged 18-39, living with their husband. Main topics in the survey included residence history, marital history, education, employment and income, parent's characteristics, religiosity, siblings, attitude towards contraception, past use of contraceptives, fertility history, fecundity, attitudes and opinions on childbearing and rearing, desired family size, fertility intentions, and fertility expectations. Respondent's were asked to give detailed information pertaining to their residence history dating back to their birth. They were also asked if they ever lived on a farm. Respondents were also queried on their marital history, specifically, when their marriage(s) took place, ended, and how they ended. Respondents were asked to report their level of education, if they ever attended a school or college that belonged to a church or a religious group, and if so, what specific church or religious group. Respondents were also queried about their employment and income. Specifically, they were asked to report their own and their husband's occupation and industry. They were also queried on whether they worked between their pregnancies and if the work was part-time or full-time. They were asked to state their total family income and their husband's earnings. Characteristics of the respondent's parents were also asked for including nationality, occupation while respondent was growing up, and religious preference. Respondent's religiosity was also explored with questions about religious activities in their daily lives, as well as her own and her husband's religious preferences. Respondents were asked if they had attended Sunday school as a child and if their children currently attended Sunday school. Respondents were asked how many brothers and sisters they had while growing up as well as their attitude on the number of siblings in their household. Their attitude toward contraception was measured with questions that asked if it would be okay if couples did something to limit the number of pregnancies they had or to control the time when they get pregnant. They were also asked if they approved of couples using the rhythm method to keep from getting pregnant. They were also queried on what specific types of contraception they had used in the past and between pregnancies. Furthermore, they were asked if they ever used methods together. Fecundity was also explored with questions about whether they or their husband had had treatments or an operation that made them sterile. Respondents were also asked what they thought was the ideal number of children for the average American family. Desired family size was queried in a number of other ways including the number of children the respondent and her husband wanted before marriage, how many children the respondent wanted a year after the first child was born, and how many children the respondent expected in all.

The 2007 Health Tracking Household Survey (HTHS) is the successor to the Community Tracking Study (CTS) Household Surveys which were conducted in 1996-1997 (ICPSR 2524), 1998-1999 (ICPSR 3199), 2000-2001 (ICPSR 3764), and 2003 (ICPSR 4216). Although the HTHS questionnaires are similar to the CTS Household Survey questionnaires, the HTHS sampling design does not have the community focus intrinsic to CTS. Whereas the CTS design focused on 60 nationally representative communities with sample sizes large enough to draw conclusions about health system change in 12 communities, the HTHS design is a national sample not aimed at measuring change within communities. Hence, "Community" was dropped from the study title. Like the CTS Household Surveys, HTHS collected information on health insurance coverage, use of health services, health expenses, satisfaction with health care and physician choice, unmet health care needs, usual source of care and patient trust, health status, adult chronic conditions, height and weight, and smoking behavior. In addition, the survey inquired about perceptions of care delivery and quality, problems with paying medical bills, use of in-store retail and onsite workplace health clinics, patient engagement with health care, sources of health information, and shopping for health care. At the beginning of the interview, a household informant provided information about the composition of the household which was used to group the household members into family insurance units (FIU). Each FIU comprised an adult household member, his or her spouse or domestic partner (same sex and other unmarried partners), if any, and any dependent children 0-17 years of age or 18-22 years of age if a full-time student (even if living outside the household). In each FIU in the household, a FIU informant provided information on insurance coverage, health care use, usual source of care, and general health status of all FIU members. This informant also provided information on family income as well as employment, earnings, employer-offered insurance plans, and race/ethnicity for all adult FIU members. Moreover, every adult in each FIU (including the FIU informant) responded through a self-response module to questions that could not be answered reliably by proxy respondents, such as questions about unmet needs, assessments of the quality of care, consumer engagement, satisfaction with physician choice, use of health information, health care shopping, and detailed health questions. The FIU informants responded on behalf of children regarding unmet needs, satisfaction with physician choice, and use of health care information.

The data are families in Hingham, Massachusetts, reconstituted by Daniel Scott Smith for his PhD dissertation from printed genealogies, vital, church and tax records, and censuses, along the lines of previous French and English work (e.g. Fleury, M. and L. Henry, Nouveau manuel de depouillement et d'exploitation de l'etat civil ancien (1965) and Wrigley, E.A, "Family Reconstitution," in E.A. Wrigley, ed. An Introduction to English Historical Demography (1966)). Family reconstitution is a method for studying demographic behavior in the absence of modern censuses and vital registration, providing for both observation of demographic events as well as the population and time at risk. In his dissertation, Population, Family and Society in Hingham, Massachusetts, 1635-1880 (University of California-Berkeley, 1973) Smith refers to the data as "statistical genealogy". The data were intended to be used to examine demographic patterns, family structure and social stratification in the past, and to generalize these patterns across the New England region. This dataset includes information on 1727 marriages. Variables include information about birth, death, marriage, fertility and wealth of husbands and wives, their parents and children. Naming practices are also represented in the data. There are no direct observations of children, but rather summary-type measures of characteristics of children and the couple's fertility history. A variable indicating the quality of the reconstitution is included. However, the meaning of the variable values has been lost.

The data in the Historical Demographic Data of Southeastern Europe series derive primarily from the ethnographic and archival research of Joel M. Halpern, Professor Emeritus of Anthropology at the University of Massachusetts at Amherst, in southeastern Europe from 1953 to 2006. The series is comprised of historical demographic data from several towns and villages in the countries of Bosnia, Croatia, Macedonia, Montenegro, Serbia, and Slovenia, all of which are former constituent republics of the Socialist Federal Republic of Yugoslavia. The data provide insight into the shift from agricultural to industrial production, as well as the more general processes of urbanization occurring in the last days of the Yugoslav state. With an expansive timeframe ranging from 1818 to 2006, the series also contains a wide cross-section of demographic data types. These include, but are not limited to, population censuses, tax records, agricultural and landholding data, birth records, death records, marriage and engagement records, and migration information. This component of the series focuses exclusively on the Serbian village of Orasac and is composed of 64 datasets. These data record a variety of demographic and economic information between the years of 1824 and 1975. General population information at the individual level is available in official census records from 1863, 1884, 1948, 1953, and 1961, and from population register records for the years of 1928, 1966, and 1975. Census data at the household level is also available for the years of 1863, 1928, 1948, 1953, and 1961. These data are followed by detailed records of engagement and marriage. Many of these data were obtained through the courtesy of village and county officials. Priest book records from 1851 through 1966, as well as death records from 1863 to 1976 and tombstone records from 1975, are also available. Information regarding migrants and emigrants was obtained from the village council for the years of 1946 through 1975. Lastly, the data provide economic and financial information, including records of individual landholdings (for the years of 1863, 1952, 1966, and 1975), records of government taxation at the individual or household level (for 1813 through 1840, as well as for 1952), and livestock censuses (at both the individual and household level for the years of 1824 and 1825, and only at the individual level for the years of 1833 and 1834).

The study analyzes the forces leading to or impeding the assimilation of 18- to 32-year-olds from immigrant backgrounds that vary in terms of race, language, and the mix of skills and liabilities their parents brought to the United States. To make sure that what we find derives specifically from growing up in an immigrant family, rather than simply being a young person in New York, a comparison group of people from native born White, Black, and Puerto Rican backgrounds was also studied. The sample was drawn from New York City (except for Staten Island) and the surrounding counties in the inner part of the New York-New Jersey metropolitan region where the vast majority of immigrants and native born minority group members live and grow up. The study groups make possible a number of interesting comparisons. Unlike many other immigrant groups, the West Indian first generation speaks English, but the dominant society racially classifies them as Black. The study explored how their experiences resemble or differ from native born African Americans. Dominicans and the Colombian-Peruvian-Ecuadoran population both speak Spanish, but live in different parts of New York, have different class backgrounds prior to immigration, and, quite often, different skin tones. The study compared them to Puerto Rican young people, who, along with their parents, have the benefit of citizenship. Chinese immigrants from the mainland tend to have little education, while young people with overseas Chinese parents come from families with higher incomes, more education, and more English fluency. Respondents were divided into eight groups depending on their parents' origin. Those of immigrant ancestry include: Jewish immigrants from the former Soviet Union; Chinese immigrants from the mainland, Taiwan, Hong Kong, and the Chinese Diaspora; immigrants from the Dominican Republic; immigrants from the English-speaking countries of the West Indies (including Guyana but excluding Haiti and those of Indian origin); and immigrants from Colombia, Ecuador, and Peru. These groups composed 44 percent of the 2000 second-generation population in the defined sample area. For comparative purposes, Whites, Blacks, and Puerto Ricans who were born in the United States and whose parents were born in the United States or Puerto Rico were also interviewed. To be eligible, a respondent had to have a parent from one of these groups. If the respondent was eligible for two groups, he or she was asked which designation he or she preferred. The ability to compare these groups with native born Whites, Blacks, and Puerto Ricans permits researchers to investigate the effects of nativity while controlling for race and language background. About two-thirds of second-generation respondents were born in the United States, mostly in New York City, while one-third were born abroad but arrived in the United States by age 12 and had lived in the country for at least 10 years, except for those from the former Soviet Union, some of whom arrived past the age of 12. The project began with a pilot study in July 1996. Survey data collection took place between November 1999 and December 1999. The study includes demographic variables such as race, ethnicity, language, age, education, income, family size, country of origin, and citizenship status.

IIMMLA was supported by the Russell Sage Foundation. Since 1991, the Russell Sage Foundation has funded a program of research aimed at assessing how well the young adult offspring of recent immigrants are faring as they move through American schools and into the labor market. Two previous major studies have begun to tell us about the paths to incorporation of the children of contemporary immigrants: The Children of Immigrants Longitudinal Study (CILS), and the Immigrant Second Generation in New York study. The Immigration and Intergenerational Mobility in Metropolitan Los Angeles study is the third major initiative analyzing the progress of the new second generation in the United States. The Immigration and Intergenerational Mobility in Metropolitan Los Angeles (IIMMLA) study focused on young adult children of immigrants (1.5- and second-generation) in greater Los Angeles. IIMMLA investigated mobility among young adult (ages 20-39) children of immigrants in metropolitan Los Angeles and, in the case of the Mexican-origin population there, among young adult members of the third- or later generations. The five-county Los Angeles metropolitan area (Los Angeles, Orange, Ventura, Riverside and San Bernardino counties) contains the largest concentrations of Mexicans, Salvadorans, Guatemalans, Filipinos, Chinese, Vietnamese, Koreans, and other nationalities in the United States. The diverse migration histories and modes of incorporation of these groups made the Los Angeles metropolitan area a strategic choice for a comparison study of the pathways of immigrant incorporation and mobility from one generation to the next. The IIMMLA study compared six foreign-born (1.5-generation) and foreign-parentage (second-generation) groups (Mexicans, Vietnamese, Filipinos, Koreans, Chinese, and Central Americans from Guatemala and El Salvador) with three native-born and native-parentage comparison groups (third- or later-generation Mexican Americans, and non-Hispanic Whites and Blacks). The targeted groups represent both the diversity of modes of incorporation in the United States and the range of occupational backgrounds and immigration status among contemporary immigrants (from professionals and entrepreneurs to laborers, refugees, and unauthorized migrants). The surveys provide basic demographic information as well as extensive data about socio-cultural orientation and mobility (e.g., language use, ethnic identity, religion, remittances, intermarriage, experiences of discrimination), economic mobility (e.g., parents' background, respondents' education, first and current job, wealth and income, encounters with the law), geographic mobility (childhood and present neighborhood of residence), and civic engagement and politics (political attitudes, voting behavior, as well as naturalization and transnational ties).

A Data Guide for this study is available as a web page and for download. The India Human Development Survey 2005 (IHDS) is a nationally representative, multi-topic survey of 41,554 households in 1,503 villages and 971 urban neighborhoods across India. Two one-hour interviews in each household covered topics concerning health, education, employment, economic status, marriage, fertility, gender relations, and social capital. Children aged 8-11 completed short reading, writing and arithmetic tests. Additional village, school, and medical facility interviews are also available.

A Data Guide for this study is available as a web page and for download. The India Human Development Survey-II (IHDS-II), 2011-12 is a nationally representative, multi-topic survey of 42,152 households in 1,503 villages and 971 urban neighborhoods across India. These data are mostly re-interviews of households interviewed for IHDS-I (ICPSR 22626) in 2004-05. Two one-hour interviews in each household covered topics concerning health, education, employment, economic status, marriage, fertility, gender relations, social capital, village infrastructure, wage levels, and panchayat composition. Children aged 8-11 completed short reading, writing and arithmetic tests. The IHDS-II data are assembled in fourteen datasets: Individual Household Eligible Women Birth History Medical Staff Medical Facilities Non Resident School Staff School Facilities Wage and Salary Tracking Village Village Panchayat Village Respondent

The India Human Development Survey (IHDS) is a nationally representative, multi-topic survey of 42,152 households in 1,503 villages and 971 urban neighborhoods across India. Data were originally collected from households during 2004-2005. Interviewers returned in 2011-2012 to re-interview these same households. During both waves of data collection, two one-hour interviews were conducted covering a large range of topics. The goal of the IHDS program is to document changes in the daily lives of Indian households in a society undergoing rapid transition. This particular data collection merges the two waves of IHDS (known as IHDS and IHDS-II) into a harmonized pattern from the perspective view points of individuals, households, and eligible women. The data are presented in three different data formats: cross-sectional, wide, and long to facilitate a broader range of analysis options. Due to the specificity of geography and inclusion of sensitive / identifying topics there is a public-use and restricted-use rendition for each of the nine data files.