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This randomized controlled trial examined the independent effect of village income inequality and individual income on individual health. Specifically, the study assessed how these two variables interacted with social capital to affect individual health. For the trial, 40 villages were selected for two experimental treatments.

In the first treatment, 13 villages were picked at random to receive 782kg of edible rice as in-kind income. The 782kg of rice was split equally between all households in the village. For the second treatment, another 13 villages were picked at random. Each village in the second treatment received the same amount of rice as the villages in the first treatment (782kg), but all of the rice went to the poorest 20 percent of households in the village, with each household getting the same amount of rice. All households in the remaining 14 villages and all households in the top 80 percent of the village income distribution of the second treatment acted as controls, and received 6kg of high-yielding, improved rice seeds.

The baseline survey was administered between February and May 2008, households received the rice between October 2008 and January 2009, and the end-line survey was administered between February and May 2009. Outcomes included anthropometric indicators of nutritional status, perceived health, and blood pressure.

This data collection contains the first four waves of the Iowa Youth and Families Project (IYFP), conducted in 1989, 1990, 1991, and 1992. The Iowa Youth and Families Project was developed from an initial sample of 451 7th graders from two-parent families in rural Iowa. The study was merged with the Iowa Single Parent Project (ISPP) to form the Iowa Family Transitions Project in 1994, when the target youth were seniors in high school. Survey data were collected from the target child (7th grader), a sibling within four years of age of the target child, and both parents. Field interviewers visited families at their homes on several occasions to administer questionnaires and videotape interaction tasks including family discussion tasks, family problem-solving tasks, sibling interaction tasks, and marital interaction tasks.

The Household Data files contain information about the family's financial situation, involvement in farming, and demographic information about household members.

The Parent and the Child Survey Data files contain responses to survey questions about the quality and stability of family relationships, emotional, physical, and behavioral problems of individual family members, parent-child conflict, family problem-solving skills, social and financial support from outside the home, traumatic life experiences, alcohol, drug, and tobacco use, and opinions on topics such as abortion, parenting, and gender roles. In addition, the Child Survey Data files include responses collected from the target child and his or her sibling in the study about experiences with puberty, dating, sexual activity, and risk-taking behavior.

The Problem-Solving Data files contain survey data collected from respondents about the family interactions tasks.

The Observational Data files contain the interviewers' observations collected during these tasks.

Demographic variables include sex, age, employment status, occupation, income, home ownership, religious preference, frequency of religious attendance, as well as the ages and sex of all household members and their relationship to the head of household. Demographic information collected on the parents also includes their birth order within their family, the ages and political philosophy of their parents, the sex, age, education level, and occupation of their siblings, and the country of origin of their ancestors.

The NIH-funded Katrina@10 Program consists of an interrelated set of three primary data collection projects that focus on specific sub-populations who were uniquely affected by Hurricane Katrina: households along Louisiana and Mississippi's Gulf Coast, low-income parents from New Orleans, and Vietnamese families living in New Orleans. In addition, the program contains two secondary analyses of data that are more broadly representative of the overall affected population, and three cores (Administrative, Data Collection, Data Management and Dissemination) to support the set of research projects. The following research questions represent the studies together as a whole:

• How well does the socio-ecological model of disaster recovery developed by the research team (Abramson et al. 2010) predict recovery across the three cohort studies?
• How do trajectories of long-term recovery differ among and within these sub-populations?
• How do the trajectories of recovery compare to those of mainstream populations?
• How do the effects of predisposing factors (such as poverty) and degree-of-impact (such as flooding depth) vary among the three sub-populations?
• How do interpretations of the disaster, resilience, and recovery differ among respondents?
• What are the determinants of long-term recovery in domains such as mental and physical health, socio-economic status, and community and social roles? How are these domains related to each other across individuals and across sub-populations?

The Katrina Impacts on Vietnamese Americans in New Orleans (KATIVA NOLA) study was a longitudinal study interested in measuring the impact of Hurricane Katrina on Vietnamese-Americans living in New Orleans. The original sample was taken in summer 2005 and was followed by three rounds of short and medium-term data collection in the 5 years following Katrina. This study measured a variety of outcomes, including physical and mental health, economic stability, housing stability, and social ties, to examine the long-term recovery trajectories of participants.

The data in this collection are from an additional, long-term follow-up survey conducted between 2017 and 2019. A public-use version (DS1) and restricted-use version (DS2) are available. Open-ended responses, continuous respondent age, continuous total household income, and a variable indicating exposure to specific flood events have been masked in the public-use version. These items are available in the restricted-use version.

The Social Capital and Children's Development data were collected in a study of the causal effects of social capital on levels and inequalities of children's social and cognitive development during the early elementary years. The study included 52 schools in Phoenix and San Antonio, including 3,084 first graders and their families, and over 200 teachers, with half the schools randomly selected for the intervention and half serving as controls. Children from low-income Latino families were a special focus of the study. The experimental design of this study allowed for testing of the causal role of social capital. Social capital here refers to trust and shared expectations embedded in social networks of parents, teachers, and children. For young children, social capital operates primarily through their relationships with their parents, enhancing development through mechanisms of social support and social control.

The research design was experimental: social capital was manipulated through a well-tested randomized intervention, Families and Schools Together (FAST), that enhanced social capital among parents, teachers, and children through an intensive after-school program and a 2-year follow-up program. FAST is intended to reduce parental isolation, enhance family engagement with schools, and strengthen family functioning; that is, to increase social capital between families and schools, among families, and within families to improve children's education and life-long outcomes. Key aspects of child development were assessed, including (a) social skills and problem behavior from standardized behavioral ratings by parents and teachers, and (b) grade retention, attendance rates, and third-grade reading and mathematics scores from school records. Social capital was measured with repeated surveys of teachers and parents that address the extent of social networks, parent involvement, trust, and shared expectations among parents, between parents and schools, and between parents and children. Demographic variables of this study include native language, years in the United States, date of birth/age, race/ethnicity, gender, and household composition.