Prior to developing and approving new ordinances that would further regulate sex- offender distance restrictions and clustering, the Phoenix City Council approved a study to examine the nature and impact of sex-offender clustering. Their overall goal was to use the study to fill in some important knowledge gaps about the issue of sex-offender residential clustering in order to inform the development of effective policy. To examine this issue on behalf of the city council, we relied on a multi-methodological research design. We wanted to incorporate information from several different points of view, giving policy makers a more comprehensive perspective from which to inform their decision making. For this study, we relied on four resources: official police data, offender interview data, citizen survey data, and key stakeholder interview data.

A number of significant positive and negative economic impacts could result from Pima County's SDCP and related programs, according to an analysis of existing research on large-scale conservation planning undertaken to provide a framework for community decision-making. This report offers no final verdict on the net economic impact of Pima County's current, ambitious initiatives in habitat conservation and growth management. However, it does provide a framework for future assessment and decision-making.

The Western Blue Chip Economic Forecast, which now incorporates the Arizona Blue Chip Forecast, focuses on the changing economies of 12 Western states: Arizona, California, Colorado, Idaho, Montana, Nevada, New Mexico, Oregon, Texas, Utah, Washington, and Wyoming. The Western employs the proven accuracy of the consensus forecasting method brought to prominence by the late Robert J. Eggert, often referred to as the "Sage of Sedona." Forecasts are compiled by website editor Lee McPheters, research professor of economics in the W. P. Carey School of Business, who has studied the Western region for over two decades.

The Greater Phoenix Blue Chip provides quarterly consensus projections on general economic indicators and key construction measures from economists and real estate analysts and executives in the Phoenix metropolitan area. The construction forecasts are compiled in cooperation with Elliott D. Pollack and Company, a leading economic and real estate consulting firm based in Scottsdale, Arizona.

Published monthly, Mexico Consensus Economic Forecast offers a comprehensive outlook for the Mexican economy; covering 12 macroeconomic variables over a 2 year forecast horizon. Forecasts are provided by leading economists whose individual views are shown together with the average (mean) forecast. In addition, our analysis includes 6 years of historical data for these same variables as well as written analysis, charts and sentiment indicators.

The age of housing in the Phoenix metropolitan area reflects the mostly steady outward spread of development. Large differences exist across the area in other housing measures. Many of these differences are closely related to geographic variations in household income and in the type of housing. As in the rest of the country, housing affordability in the Phoenix metropolitan area fell substantially in the 1970s. During the 1980s, the change in affordability varied by situation. Affordability rose for the median-income household, especially for homeownership. For those at the low end of the income spectrum, affordability of rental units improved slightly, but affordability of owned units worsened. Data for the 1990s are limited; the affordability of owned units rose for the median-income household, which could afford the median-priced home in 1998. An inadequate supply of very low-cost housing existed in the Phoenix metropolitan area in 1990. Even if low-income households were perfectly matched to low-income housing that they could afford, a little less than 3 percent of all households (about 23,000) could not have found affordable housing. The inadequacy expanded in the 1980s. The percentage of households reporting an unaffordable housing payment was much greater. Considering only low-income households who spent more than 30 percent of their income on housing, about 21 percent of all households had a housing problem related to affordability.