The Outlook for Asian Dairy Markets: The Role of Demographics, Income, and Prices, June 2005

The paper first presents a 10-year outlook for major Asian dairy markets (China, India, Indonesia, Japan, South Korea, Malaysia, the Philippines, Thailand, and Vietnam) based on a world dairy model. Then, using Heien and Wessells’s technique, dairy product consumption growth is decomposed into contributions generated by income growth, population growth, price change, and urbanization and these contributions are quantified. Using the world dairy model, the paper also analyzes the impacts of alternative assumptions of higher income levels and technology development in Asia on Asian dairy consumptions and world dairy prices. The outlook projects that Asian dairy consumption will continue to grow strongly in the next decade. The consumption decomposition suggests that the growth would be mostly driven by income and population growth and, as a result, would raise world dairy prices. The simulation results show that technology improvement in Asian countries would dampen world dairy prices and meanwhile boost domestic dairy consumption.

Help For Lower Income Iowans With Medicare, 2007

If you have limited income and resources, the State of Iowa may pay some of your Medicare expenses. Programs paying these expenses are shown in the chart on page 2. To see if you might be eligible, answer the questions below.

Issue review : state and local tax revenue fiscal year 2001 to fiscal year 2010.

This issue review provides a historical perspective regarding state and local taxes collected each fiscal year in Iowa from fiscal year 2001 through fiscal year 2010. The issue review also compares the growth in state taxes versus local taxes as well as the growth in tax collections compared to the growth in Iowa personal income and Iowa employment.

Farm-Level Analysis of Risk Management Proposals, March 2000

This paper presents a detailed report of the representative farm analysis (summarized in FAPRI Policy Working Paper #01-00). At the request of several members of the Committee on Agriculture, Nutrition, and Forestry of the U.S. Senate, we have continued to analyze the impacts of the Farmers’ Risk Management Act of 1999 (S. 1666) and the Risk Management for the 21st Century Act (S. 1580). Earlier analysis reported in FAPRI Policy Working Paper #04-99 concentrated on the aggregate net farm income and government outlay impacts. The representative farm analysis is conducted for several types of farms, including both irrigated and non-irrigated cotton farms in Tom Green County, Texas; dryland wheat farms in Morton County, North Dakota and Sumner County, Kansas; and a corn farm in Webster County, Iowa. We consider additional factors that may shed light on the differential impacts of the two plans. 1. Farm-level income impacts under alternative weather scenarios. 2. Additional indirect impacts, such as a change in ability to obtain financing. 3. Implications of within-year price shocks. Our results indicate that farmers who buy crop insurance will increase their coverage levels under S. 1580. Farmers with high yield risk find that the 65 percent coverage level maximizes expected returns, but some who feel that they obtain other benefits from higher coverage will find that the S. 1580 subsidy schedule significantly lowers the cost of obtaining the additional coverage. Farmers with lower yield risk find that the increased indemnities from additional coverage will more than offset the increase in producer premium. In addition, because S. 1580 extends its increased premium subsidy percentages to revenue insurance products, farmers will have an increased incentive to buy revenue insurance. Differences in the ancillary benefits from crop insurance under the baseline and S. 1580 would be driven by the increase in insurance participation and buy-up. Given the same levels of insurance participation and buy-up, the ancillary benefits under the two scenarios would be the same.

Senior Living Program State Fiscal Year 2004 Report, July 1, 2003-June 30, 2004

This report shows the number of older low-income and moderate-income Iowans who received service from the Senior Living Program (SLP) and the number of units by service category. Additionally, it shows the number of persons served across services. In other words, if you add the total number of clients from all services it is higher than the actual number of persons served across all services, because some people need and receive more than one service. (Please note: this is preliminary data, and may be subject to change.)

Senior Living Program State Fiscal Year 2003 Report (July 1, 2002-June 30, 2003)

This report shows the number of older low-income and moderate-income Iowans who received service from the Senior Living Program (SLP) and the number of units by service category. Additionally, it shows the number of persons served across services. In other words, if you add the total number of clients from all services it is higher than the actual number of persons served across all services, because some people need and receive more than one service. (Please note: this is preliminary data, and may be subject to change.)

Senior Living Program Report, July 1, 2007-July 31, 2007 Senior Living Program Report, July 1, 2007-August 31, 2007

This report shows the number of older low-income and moderate-income Iowans who received service from the Senior Living Program (SLP) and the number of units by service category. Additionally, it shows the number of persons served across services. In other words, if you add the total number of clients from all services it is higher than the actual number of persons served across all services, because some people need and receive more than one service. (Please note: this is preliminary data, and may be subject to change.)

Senior Living Program Report, July 1, 2007-August 31, 2007

This report shows the number of older low-income and moderate-income Iowans who received service from the Senior Living Program (SLP) and the number of units by service category. Additionally, it shows the number of persons served across services. In other words, if you add the total number of clients from all services it is higher than the actual number of persons served across all services, because some people need and receive more than one service. (Please note: this is preliminary data, and may be subject to change.)

Protecting Your Spouse When You Go to a Nursing Home, July 2007

The Spousal Impoverishment Protection Law Have you ever wondered… What will happen if your spouse is not able to live at home because of poor health or confusion? Will you have to spend all of your resources to pay for your spouse’s nursing home care before Medicaid will help? The answer is, “NO”! You have protection from losing all income and assets to pay for your spouse’s care in the nursing home when your spouse qualifies for Medicaid.

Iowa's Barriers to Prenatal Care Project, July 2015

The findings in this summary are based on the Iowa Barriers to Prenatal Care project. Ongoing since 1991, the purpose of this project is to obtain brief, accurate information about women delivering babies in Iowa hospitals. Specifically, the project seeks to learn about women’s experiences getting prenatal or delivery care during their current pregnancy. Other information is included which may be pertinent to health planners or those concerned with the systematic development of health care services. This project is a cooperative venture of all of Iowa’s maternity hospitals, the University of Northern Iowa Center for Social and Behavioral Research, and the Iowa Department of Public Health. The Robert Wood Johnson Foundation funded the first three years of this project. The current funding is provided by the Iowa Department of Public Health. The Director is Dr. Mary Losch, University of Northern Iowa Center for Social and Behavioral Research. The Coordinator for the project is Rodney Muilenburg. The questionnaire is distributed to nearly ninety maternity hospitals across the state of Iowa. Nursing staff or those responsible for obtaining birth certificate information in the obstetrics unit are responsible for approaching all birth mothers prior to dismissal to request their participation in the study. The questionnaire takes approximately ten minutes to complete. Completed questionnaires are returned to the University of Northern Iowa Center for Social and Behavioral Research for data entry and analysis. Returns are made monthly, weekly, or biweekly depending on the number of births per week in a given hospital. Except in the case of a mother who is too ill to complete the questionnaire, all mothers are eligible to be recruited for participation. The present yearly report includes an analysis of large Iowa cities, frequencies by income, and a trend analysis of the last ten years. Also presented in this report is a frequency analysis of all variables included in the 2014 questionnaire. Unless otherwise noted, all entries reflect percentages. Please note that, because percentages were rounded, total values may not equal 100%. Data presented are based upon 2014 questionnaires received to date (n = 24,696). All analyses reflect unweighted percentages of those responding.