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This poll, conducted September 7-12, 2006, is part of a continuing series of monthly polls that solicit public opinion on various political and social issues. Respondents were asked which issues would be most important in their vote for Congress later that year, which party they trusted more to handle health care issues, how satisfactory the quality and total cost of health care was, and whether or not the number of Americans without insurance was a critical problem. Information was collected on the status of the respondents' own health insurance, including whether they were insured or not, what type of insurance they had, and how long they had been uninsured. Views were sought on whether health care premiums had been rising, why they were rising, how it had affected their household, and how job loss would affect the status and cost of health insurance. A series of questions asked whether new treatments should always be covered, whether efforts should go toward reducing health care costs or reducing the number of Americans without insurance, and whether there should be a universal health insurance program. The respondents rated the effectiveness of the current health insurance system, and they were asked under what conditions a universal health insurance program would be supported. They were also asked their opinions on whether or not employers should be obligated to provide coverage, and whether tax breaks should be offered to companies. Additional topics addressed terminally ill patients and the expense of keeping them alive. Demographic variables include sex, age, race, education level, household income, political party affiliation, political philosophy, employment status, and marital status.

The Behavioral Interventions to Advance Self-Sufficiency (BIAS) project is an opportunity to use a behavioral economics lens to examine programs that serve poor and vulnerable families in the United States. Sponsored by the Office of Planning, Research and Evaluation (OPRE) of the Administration for Children and Families (ACF) in the U.S. Department of Health and Human Services and led by MDRC, the project applies behavioral insights to issues related to the operations, implementation, and efficacy of social service programs and policies. The goal is to learn how tools from behavioral science can be used to deliver programs more effectively and, ultimately, improve the well-being of low-income children, adults, and families.

The data in these files include for each county and state in the United States the number of income tax returns in the migration flow, percent of migration based on returns, number of exemptions, and percent migration based on exemptions.