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This monograph presents projections about the extent and kinds of nonmedical drug use we can expect to see in the years ahead. These projections are given in text and tables on marijuana, inhalants, hallucinogens, cocaine, heroin,...
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This monograph presents projections about the extent and kinds of nonmedical drug use we can expect to see in the years ahead. These projections are given in text and tables on marijuana, inhalants, hallucinogens, cocaine, heroin, and other opiates. Data are given for percentages of young adults who were users of each group of drugs in the recent past and who may be expected to use these drugs in 1985, 1990, and 1995. Trends are also tabulated by sex, race, and residence in metropolitan or nonmetropolitan areas. This information will be useful to many whose work is concerned with drug users now and in the future.
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America's elderly population-persons 65 and older-is projected to increase from 28.6 million in 1985 to 39.2 million by 2010 and 64.6 million by 2030. During the time, public spending on the elderly-an estimated $263 billion in 19...
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America's elderly population-persons 65 and older-is projected to increase from 28.6 million in 1985 to 39.2 million by 2010 and 64.6 million by 2030. During the time, public spending on the elderly-an estimated $263 billion in 1985 or nearly half of all federal domestic spending-also is expected to rise significantly. In response to a request from the Chairman of the Subcommittee on Intergovernmental Relations and Human Resources, House Committee on Government Operations, GAO provides in the report information on these projections. Among issues addressed are (1) demographic changes projected for the elderly population, (2) the relationship of these changes to the economic and health care status of the elderly, and (3) how changes in federal health and retirement programs could affect current and future needs of the elderly.
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Vital Statistics relating to divorce provide demographic data for divorces occurring during the calendar year. The data are based on information abstracted from certificates of divorce or annulment registered in the vital statisti...
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Vital Statistics relating to divorce provide demographic data for divorces occurring during the calendar year. The data are based on information abstracted from certificates of divorce or annulment registered in the vital statistics offices of States which meet reporting criteria for participation in the divorce-registration area (DRA). For the current data year the DRA includes 31 States. Divorce data for each State in the DRA are based on divorce certificates sampled at one of five sampling rates (5, 10, 20, 50, or 100 percent), depending in most cases on the total number of divorces granted in the State during the calendar year. The tape record includes a weight based on the sampling fraction of the reporting State. All records are used from States submitting precoded data tapes through the Vital Statistics Component Program. Demographic data include variables such as age, race, number of the marriage, and education of both husband and wife. Records also include date and State of marriage and of divorce.
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Vital Statistics relating to divorce provide demographic data for divorces occurring during the calendar year. The data are based on information abstracted from certificates of divorce or annulment registered in the vital statisti...
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Vital Statistics relating to divorce provide demographic data for divorces occurring during the calendar year. The data are based on information abstracted from certificates of divorce or annulment registered in the vital statistics offices of States which meet reporting criteria for participation in the divorce-registration area (DRA). For the current data year the DRA includes 31 States. Divorce data for each State in the DRA are based on divorce certificates sampled at one of five sampling rates (5, 10, 20, 50, or 100 percent), depending in most cases on the total number of divorces granted in the State during the calendar year.
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The major objective of this study was to create a limited profile of the visitor to the Mississippi Gulf Coast and the Mississippi Gulf Coast tourism industry. By analyzing the data on a sample of 18,000 registration cards held by...
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The major objective of this study was to create a limited profile of the visitor to the Mississippi Gulf Coast and the Mississippi Gulf Coast tourism industry. By analyzing the data on a sample of 18,000 registration cards held by ten major hotel properties and by information collected from a survey of 3,500 visitors to the Mississippi Gulf Coast, information concerning demographics--the visitor's home state, size of party, duration of stay, purpose of the trip, and trip expenditures--was obtained.
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This paper examines the impact of changes in the Nation's housing program on the population of eligible households, potential participants, and program costs. Alternative housing programs are examined at two points in time: 1983 a...
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This paper examines the impact of changes in the Nation's housing program on the population of eligible households, potential participants, and program costs. Alternative housing programs are examined at two points in time: 1983 and 1988. The data for this analysis are produced with the Urban Institute's Transfer Income (TRIM) computer simulation model. TRIM demographically and economically aged the March 1980 Current Population Survey (CPS) data file to 1983 and 1988. TRIM also estimated each household's transfer payments from the Supplemental Security Income Program, the Food Stamp Program, and the Aid to Families with Dependent Children Program. These data were then used as input data for a computer program that simulated a housing voucher program while varying assumptions on eligibility rules, payment formulas, the definition of income, and treatment of current participants. This paper reports the results of six simulations, with parameters selected by HUD. Results indicate that households' eligibility and subsidy levels, and hence program costs, are very sensitive to many program parameters that are currently excluded from housing legislation. Results also indicate that counting food stamps as income would have little impact on the size of the eligible population but would reduce the average subsidy by $60 per year in 1983. The procedures used to age the March 1980 data file are described, along with the housing voucher simulation model and simulation results. Tables and nine references are provided. The appendices contain more detailed descriptions of the variables used in the simulation model; the housing voucher simulation model, including a flowchart and a brief description of the program's subroutines; and simulation results. (Author abstract modified).
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The publication provides a set of references to the most useful sources of data available from National Organizations for meeting the needs of State and Local health Planners, particularly the Health Systems Agencies and the State...
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The publication provides a set of references to the most useful sources of data available from National Organizations for meeting the needs of State and Local health Planners, particularly the Health Systems Agencies and the State Health Planning and Development Agency-established under Public Law 93-641 (The National Health Planning & Resources Development Act). This publication is intended to include publications of data and data tapes. They include only sources made generally available by Public and private organizations such as Government agencies, professional associations, and private research corporations.
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The report presents statistics on the utilization of short-stay non-Federal hospitals based on data abstracted by the Hospital Discharge Survey from a national sample of hospital records of discharged inpatients.
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The American Samoa Summary File (ASSF) contains Census 2000 data compiled from all people and housing units. Population items include sex; age; ethnic origin and race; household relationship; urban and rural; households and famili...
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The American Samoa Summary File (ASSF) contains Census 2000 data compiled from all people and housing units. Population items include sex; age; ethnic origin and race; household relationship; urban and rural; households and families; group quarters; marital status; grandparents as caregivers; language spoken at home and frequency of English usage; place of birth, parents place of birth, citizenship status, and year of entry; migration and main reason for moving; children ever born (fertility); place of work; journey to work (commuting); school enrollment and educational attainment; vocational training; veteran status; military dependency; disability; employment status; industry, occupation, and class of worker; income; and poverty status. Housing items include occupancy status; vacancy status; tenure; urban and rural; number of rooms; number of bedrooms; water supply; year moved into unit; household size and occupants per room; units in structure; year structure built; telephone service; air conditioning; plumbing and kitchen facilities (bathtub or shower; toilet facilities; cooking facilities); source of water; sewage disposal; types of building materials; battery-operated radio; condominium status; vehicles available; mortgage status; value of home; monthly rent; and shelter costs.
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In the Personal Responsibility and Work Opportunity Reconciliation Act of 1996 (Public Law 104-193), the Congress required the Commissioner of Social Security to report annually to the President and to the Congress on the status o...
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In the Personal Responsibility and Work Opportunity Reconciliation Act of 1996 (Public Law 104-193), the Congress required the Commissioner of Social Security to report annually to the President and to the Congress on the status of the Supplemental Security Income (SSI) program. A required element of these reports is to provide projections of program participation and costs through at least 25 years. This report is the sixth of such reports, and following are some of its major highlights and findings.
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