Lower Columbia College Enrollment Forecast, 2000 – 2010

This report provides a student enrollment forecast, including background demographic information and analysis, for Lower Columbia College (LCC). The report considers several factors that are likely to affect the College’s enrollment between 2000 and 2010, including and the geographical areas within and surrounding the service district (Cowlitz and Wahkiakum Counties, the cities of Longview, Kelso, Woodland and others in the vicinity). Five different scenarios of population, housing, and enrollment participation changes were developed to demonstrate their effects on enrollments. Three scenarios rely on different rates of housing and population growth, and two depend on changes of enrollment participation in the Service Area. For each scenario, a forecast was made for total enrollment, by student type, for the years 2000, 2005, and 2010

2007 Oregon Population Report

This report contains the annual population estimates for Oregon, and its counties, incorporated cities and towns, and unincorporated areas for July 1, 2007. Included are estimates that are summarized by unincorporated and incorporated areas at the State level, as well as by metropolitan and non-metropolitan areas. At the end of this report there are 6 maps showing county-level population estimates for 2007 or population change from 2000 to 2007. There is also a county reference map that shows locations of cities throughout Oregon

Enrollment Forecast (2006-2015) for Greater Albany Public School District

This report, prepared by the Population Research Center (PRC) provides a district-wide Enrollment Forecast, Enrollment Forecasts for individual schools, and demographic information for Greater Albany Public School District (GAPSD). The report considers several factors that are likely to affect the school district\u27s enrollments between the October 2004 and 2015, including the future number of births, net migrants, and the proportion of school-age children and youth enrolled in the public schools. For the district-wide forecast, three scenarios of population, housing, and enrollment changes were developed to account for different probabilities of demographic events. Forecasts were prepared for the District by grade level using three scenarios: (a) the most likely enrollment growth which extends similar recent housing and population growth trends throughout the forecast period; (b) lower growth, assuming that population and housing growth rates in the district will noticeably decline thereby influencing a decrease in enrollments; and (c) higher growth, assuming higher average population, housing, and enrollment growth rates than expected

Enrollment Forecast (2004-2010) for Lake Oswego School District

This report, prepared by the Population Research Center provides a medium-range school Enrollment Forecast, including background demographic information and analysis, for Lake Oswego School District (LOSD) and for its nine elementary schools, two junior high schools, and two high schools. The report considers several factors that are likely to affect the District’s enrollment between 2004 and 2010 and examines elementary attendance areas within the District. The most likely scenario indicates that there will be a slight decrease in enrollments between 2003 and 2010. For the district-wide forecasting, three scenarios of population, housing, and enrollment changes were developed to account for different probabilities of demographic events. Forecasts are made for the District by grade level using three scenarios: (a) the most likely enrollment growth which curbs recent trends of declining housing and population growth rates, (b) lower growth, assuming that growth rates in the district will continue to decrease, and (c) higher growth, assuming higher average growth rates closer to those of the mid 1990s

Affordable Housing Needs Study for the Portland Metropolitan Area Draft Final Report

The purpose of this report is to respond to the recommendations of the Regional Housing Choice Task Force by providing information to guide housing choice policy for the Metro Council. In particular, the objectives of this project were to: estimate current and future affordable housing need for the Metro region; describe the distribution of households by income, age, and size across the metro region; describe the tenure of these households and the type of housing they will choose; identify and describe those household types that are most likely to struggle to meet the cost of housing based on their income; and make recommendations for improving analysis of affordable housing need in the future. Our approach to this task was to use output from the Metroscope model, using the base case scenario, to forecast the housing consumption decisions of households from 2005 to 2035. We chose the Metroscope model after also considering the State of Oregon?s Housing/Land Needs model. We concluded from examining the assumptions and abilities of each model that Metroscope is better able to offer the Metro Council the insight into the housing market required to inform housing choice policy. The Metroscope model incorporates housing supply and demand for the entire four-county metropolitan region (Multnomah, Washington, Clackamas, and Clark counties). The region comprises a single housing market; residents travel throughout the region to work, shop, and socialize. Thus, it makes little sense to examine any one county in isolation. While this report does not include the results for Clark County, its impact on demand and supply of housing in the rest of the region is taken into account in the Metroscope model and is reflected in the results presented here. Given the assumptions of the Metroscope model (described in Section 2), we address several questions, including: Where will household growth occur? What kinds of households will grow? What kinds of housing will these households live in? What percentage of their income will they pay for housing? What demographic groups are most cost-burdened and where do those households reside? This report offers a summary of the findings regarding each of these questions

Quality of Life Community Collaborative Demographic Profiles

Demographic profiles have been created for at the regional and community levels for San Diego County. There is an individual demographic profile for each of 10 Community Collaboratives in San Diego County as a whole. The demographic profiles all have the same structure and consist of the same variables to provide consistency so that comparisons can be made between communities. The profiles were created to provide background information for a larger project, the development of Quality of Life Indices for the San Diego County Alcohol and Drug Services Agency

Portland Public Schools Enrollment Forecasts, 2007-08, Based on October 2006 Enrollments

The Portland Public School District (PPS) enrolled 45,446 K-12 students in Fall 2006, a decrease of 676 students (1.5 percent) from Fall 2005. This was the second consecutive year that PPS lost about 700 students, following three years of much steeper losses averaging over 1,500 annually between 2001-02 and 2004-05. Enrollment has fallen in each of the past 10 years, and the 2006-07 K-12 enrollment was 17 percent below its 1996-97 peak of 54,697. About half of the 10 year decline occurred during the 2001-02 to 2004-05 period, when the recession slowed regional employment growth but housing prices continued to rise. This report presents the results of a demographic study conducted by the Portland State University Population Research Center (PRC). The study includes analysis of population, housing and enrollment trends affecting the District in recent years, estimates of the impacts of new housing development on PPS enrollment, forecasts of district-wide enrollment for the 2007-08 to 2020-21 school years and forecasts by area of residence (high school clusters, school attendance areas) and by individual school for the years 2007-08 to 2015-16

Coordinated Population Forecast for Lane County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2015-2065

Different growth patterns occur in different parts of the county and these local trends within the UGBs and the area outside UGBs collectively influence population growth rates for the county as a whole. Lane County’s total population has grown steadily since 2000; with an average annual growth rate of just under one percent between 2000 and 2010 (Figure 1); however some of its sub-areas experienced more rapid population growth during the 2000s. Veneta and Creswell posted the highest average annual growth rates at 5.2 and 3.1 percent, respectively, during the 2000 to 2010 period. Lane County’s positive population growth in the 2000s was the direct result of substantial net inmigration and in the early years, natural increase. Meanwhile an aging population not only led to an increase in deaths, but also resulted in a smaller proportion of women in their childbearing years. This along with more women choosing to have fewer children and have them at older ages has led to slower growth in births. The more rapid growth in deaths relative to that of births caused natural increase—the difference between births and deaths—to shrink between 2007 and 2012. Since 2012, net in-migration has outpaced natural increase, driving rising population growth rates. Total population in Lane County as a whole as well as within many of its sub-areas is forecast to grow at a slightly faster pace in the first 20 years of the forecast period (2015 to 2035), relative to the last 30 years (Figure 1). The tapering of growth rates is largely driven by an aging population—a demographic trend which is expected to lead to declining natural increase (births minus deaths). As natural increase declines and eventually becomes natural decrease, population growth is expected to become increasingly reliant on net in-migration. Even so, Lane County’s total population is forecast to increase by nearly 67,300 over the next 20 years (2015-2035) and by nearly 152,400 over the entire 50 year forecast period (2015-2065). Sub-areas that showed strong population growth in the 2000s are expected to experience similar rates of population growth during the forecast period

Coordinated Population Forecast for Deschutes County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2015-2065

Different growth patterns occur in different parts of the county and these local trends within the UGBs and the area outside UGBs collectively influence population growth rates for the county as a whole. Deschutes County’s total population has grown rapidly since 2000, with an average annual growth rate of more than three percent between 2000 and 2010 (Figure 1); in addition, most of its sub-areas experienced even more rapid population growth during the 2000s. Sisters and La Pine posted the highest average annual growth rates at 7.8 and 6.3 percent, respectively, during the 2000 to 2010 period. Deschutes County’s positive population growth in the 2000s was the direct result of substantial net inmigration and steady natural increase (i.e., more births than deaths). Meanwhile an aging population not only led to an increase in deaths, but also resulted in a smaller proportion of women in their childbearing years. This along with more women choosing to have fewer children and have them at older ages has led to slower growth in births. The more rapid growth in deaths relative to that of births caused natural increase—the difference between births and deaths—to shrink between 2007 and 2014. While net in-migration and steady natural increase contributed to population growth during the early and middle years of the last decade, it is clear that in more recent years (i.e., 2010 to 2014) net inmigration played the most prominent role in population growth. Total population in Deschutes County as a whole as well as within its sub-areas is forecast to grow at a slightly faster pace in the first 20 years of the forecast period (2015 to 2035), relative to the last 30 years (Figure 1). The tapering of growth rates is largely driven by an aging population—a demographic trend which is expected to lead to natural decrease (more deaths than births). As natural decrease occurs, population growth will become increasingly reliant on net in-migration. Even so, Deschutes County’s total population is forecast to increase by more than 78,000 over the next 20 years (2015-2035) and by more than 186,000 over the entire 50 year forecast period (2015-2065). Sub-areas that showed strong population growth in the 2000s are expected to experience similar rates of population growth during the forecast period

MCTS/EA hybrid GVGAI players and game difficulty estimation

© 2016 IEEE. In the General Video Game Playing competitions of the last years, Monte-Carlo tree search as well as Evolutionary Algorithm based controllers have been successful. However, both approaches have certain weaknesses, suggesting that certain hybrids could outperform both. We envision and experimentally compare several types of hybrids of two basic approaches, as well as some possible extensions. In order to achieve a better understanding of the games in the competition and the strength and weaknesses of different controllers, we also propose and apply a novel game difficulty estimation scheme based on several observable game characteristics