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• 21. [Article] 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 ...

  Citation × Citation Citation Abstract Copy Title: Coordinated Population Forecast for Lane County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2015-2065 Author: Portland State University. Population Research Center, Ruan, Xiaomin, Proehl, Risa, Jurjevich, Jason R., Rancik, Kevin, Kessi, Janai, Gorecki, Carson, Tetrick, David Year: 2015 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. Title: Coordinated Population Forecast for Lane County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2015-2065 Author: Portland State University. Population Research Center, Ruan, Xiaomin, Proehl, Risa, Jurjevich, Jason R., Rancik, Kevin, Kessi, Janai, Gorecki, Carson, Tetrick, David Year: 2015 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. Close

• 22. [Article] Coordinated Population Forecast for Wheeler County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2016-2066

  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. Wheeler ...

  Citation × Citation Citation Abstract Copy Title: Coordinated Population Forecast for Wheeler County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2016-2066 Author: Portland State University. Population Research Center, Ruan, Xiaomin, Proehl, Risa, Jurjevich, Jason R., Rancik, Kevin, Kessi, Janai, Tetrick, David, Michel, Julia Year: 2016 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. Wheeler County’s total population has declined slowly since 2000, with average annual growth rates of just above negative one percent between 2000 and 2010 (Figure 1); however, some of its sub-areas experienced some population growth during the 2000s. Fossil, the most populous UGB, experienced small growth and Spray posted the highest average annual growth rate at 0.1 and 1.1 percent, respectively, during the 2000 to 2010 period. Wheeler County’s population decline in the 2000s was the direct result of an aging population. The 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 fewer births in recent years. The larger number of deaths relative to births caused a natural decrease (more deaths than births) in every year from 2000 to 2015 (Figure 12). While net in-migration and natural decrease compounded to create a substantial population decrease during the early and middle years of the last decade, migration into the county increased in the later part of the decade and helped to offset the natural decrease. Net out-migration was still substantial for populations between the ages of 20 and 29 years from 2000 to 2010, but there has been net in-migration for a slightly older population from 30 to 39 years of age. In more recent years (2010 to 2015) net in-migration has increased, bringing with it some slight population growth. Total population in Wheeler County as a whole as well as within its sub-areas will likely decline at a slightly slower pace in the near-term (2016 to 2035) compared to the long-term (Figure 1). The declining of growth rates is largely driven by an aging population—a demographic trend which is expected to contribute to a steady natural decrease (more deaths than births). As natural decrease occurs, population growth will become increasingly reliant on net in-migration. Wheeler County’s total population is forecast to decrease by more than 90 over the next 19 years (2016- 2035) and by more than 300 over the entire 50-year forecast period (2016-2066). All sub-areas are expected to experience similar rates of population decline during the forecast period. Title: Coordinated Population Forecast for Wheeler County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2016-2066 Author: Portland State University. Population Research Center, Ruan, Xiaomin, Proehl, Risa, Jurjevich, Jason R., Rancik, Kevin, Kessi, Janai, Tetrick, David, Michel, Julia Year: 2016 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. Wheeler County’s total population has declined slowly since 2000, with average annual growth rates of just above negative one percent between 2000 and 2010 (Figure 1); however, some of its sub-areas experienced some population growth during the 2000s. Fossil, the most populous UGB, experienced small growth and Spray posted the highest average annual growth rate at 0.1 and 1.1 percent, respectively, during the 2000 to 2010 period. Wheeler County’s population decline in the 2000s was the direct result of an aging population. The 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 fewer births in recent years. The larger number of deaths relative to births caused a natural decrease (more deaths than births) in every year from 2000 to 2015 (Figure 12). While net in-migration and natural decrease compounded to create a substantial population decrease during the early and middle years of the last decade, migration into the county increased in the later part of the decade and helped to offset the natural decrease. Net out-migration was still substantial for populations between the ages of 20 and 29 years from 2000 to 2010, but there has been net in-migration for a slightly older population from 30 to 39 years of age. In more recent years (2010 to 2015) net in-migration has increased, bringing with it some slight population growth. Total population in Wheeler County as a whole as well as within its sub-areas will likely decline at a slightly slower pace in the near-term (2016 to 2035) compared to the long-term (Figure 1). The declining of growth rates is largely driven by an aging population—a demographic trend which is expected to contribute to a steady natural decrease (more deaths than births). As natural decrease occurs, population growth will become increasingly reliant on net in-migration. Wheeler County’s total population is forecast to decrease by more than 90 over the next 19 years (2016- 2035) and by more than 300 over the entire 50-year forecast period (2016-2066). All sub-areas are expected to experience similar rates of population decline during the forecast period. Close

• 23. [Article] Coordinated Population Forecast for Union County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2016-2066

  Union County’s total population has grown slowly since 2000, with an average annual growth rate of half percent between 2000 and 2010 (Figure 1). However, some of its sub-areas experienced more rapid population ...

  Citation × Citation Citation Abstract Copy Title: Coordinated Population Forecast for Union County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2016-2066 Author: Portland State University. Population Research Center, Ruan, Xiaomin, Proehl, Risa, Jurjevich, Jason R., Rancik, Kevin, Kessi, Janai, Tetrick, David, Michel, Julia Year: 2016 Union County’s total population has grown slowly since 2000, with an average annual growth rate of half percent between 2000 and 2010 (Figure 1). However, some of its sub-areas experienced more rapid population growth during the 2000s. Summerville posted the highest average annual growth rate of 1.4 percent, and Imbler and Union were close behind with average annual growth rates of about 1.2 percent each. Union County’s positive population growth in the 2000s was the combined result of a consistent natural increase and a net in-migration. The larger number of births relative to deaths has led to a natural increase (more births than deaths) in every year from 2000 to 2015 (Figure 12). While net in-migration fluctuated dramatically during the early years of the last decade, the number of in-migrants has been slightly more stable during recent years, accounting for the majority of Union County’s population increase. Total population in Union County as a whole as well as within some of its sub-areas will likely grow at a slightly faster pace in the nearer-term (2016 to 2035) compared to the longer-term (Figure 1). The tapering of growth rates is largely driven by an aging population—a demographic trend which is expected to contribute to natural decrease (more deaths than births). As natural decrease occurs, population growth will become increasingly reliant on net in-migration. Steady increase in net in-migration is expected to offset the growing natural decrease, leading to relatively steady population growth over the forecast period. However, an aging population is expected to not only lead to an increase in deaths, but a smaller proportion of women in their childbearing years will likely result in a long-term stabilization in the number of births. Title: Coordinated Population Forecast for Union County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2016-2066 Author: Portland State University. Population Research Center, Ruan, Xiaomin, Proehl, Risa, Jurjevich, Jason R., Rancik, Kevin, Kessi, Janai, Tetrick, David, Michel, Julia Year: 2016 Union County’s total population has grown slowly since 2000, with an average annual growth rate of half percent between 2000 and 2010 (Figure 1). However, some of its sub-areas experienced more rapid population growth during the 2000s. Summerville posted the highest average annual growth rate of 1.4 percent, and Imbler and Union were close behind with average annual growth rates of about 1.2 percent each. Union County’s positive population growth in the 2000s was the combined result of a consistent natural increase and a net in-migration. The larger number of births relative to deaths has led to a natural increase (more births than deaths) in every year from 2000 to 2015 (Figure 12). While net in-migration fluctuated dramatically during the early years of the last decade, the number of in-migrants has been slightly more stable during recent years, accounting for the majority of Union County’s population increase. Total population in Union County as a whole as well as within some of its sub-areas will likely grow at a slightly faster pace in the nearer-term (2016 to 2035) compared to the longer-term (Figure 1). The tapering of growth rates is largely driven by an aging population—a demographic trend which is expected to contribute to natural decrease (more deaths than births). As natural decrease occurs, population growth will become increasingly reliant on net in-migration. Steady increase in net in-migration is expected to offset the growing natural decrease, leading to relatively steady population growth over the forecast period. However, an aging population is expected to not only lead to an increase in deaths, but a smaller proportion of women in their childbearing years will likely result in a long-term stabilization in the number of births. Close

• 24. [Article] Coordinated Population Forecast for Umatilla County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2016-2066

  Umatilla County’s total population has grown steadily since 2000, with average annual growth rates near one percent between 2000 and 2010 (Figure 1); however, some of its sub-areas experienced more rapid ...

  Citation × Citation Citation Abstract Copy Title: Coordinated Population Forecast for Umatilla County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2016-2066 Author: Portland State University. Population Research Center, Ruan, Xiaomin, Proehl, Risa, Jurjevich, Jason R., Rancik, Kevin, Kessi, Janai, Tetrick, David, Michel, Julia Year: 2016 Umatilla County’s total population has grown steadily since 2000, with average annual growth rates near one percent between 2000 and 2010 (Figure 1); however, some of its sub-areas experienced more rapid population growth during the 2000s. Hermiston, the most populous UGB, and Umatilla UGB posted the highest average annual growth rates at 2.1 and 2.8 percent, respectively, during the 2000 to 2010 period. Umatilla County’s positive population growth in the 2000s was the result of a steady natural increase and periods of substantial net in-migration. A larger number of births relative to deaths led to a natural increase (more births than deaths) in every year from 2000 to 2015 (Figure 12). While net in-migration fluctuated dramatically during the early and middle years of the last decade, the number of in-migrants has been slightly more stable during recent years, contributing to a population increase. Even so the natural increase continues to account for most of the population growth. Total population in Umatilla County as a whole as well as within its sub-areas will likely grow at a slightly faster pace in the near-term (2016 to 2035) compared to the long-term (2035-2066) (Figure 1). The tapering of growth rates is driven by an aging population—a demographic trend which is expected to contribute to an increase in deaths. Even so, natural increase is expected to persist, combining with steady in-migration for continued strong population growth. Umatilla County’s total population is forecast to increase by nearly 13,300 over the next 19 years (2016- 2035) and by close to 36,800 over the entire 50-year forecast period (2016-2066). All sub-areas are expected to experience population growth during the forecast period. Title: Coordinated Population Forecast for Umatilla County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2016-2066 Author: Portland State University. Population Research Center, Ruan, Xiaomin, Proehl, Risa, Jurjevich, Jason R., Rancik, Kevin, Kessi, Janai, Tetrick, David, Michel, Julia Year: 2016 Umatilla County’s total population has grown steadily since 2000, with average annual growth rates near one percent between 2000 and 2010 (Figure 1); however, some of its sub-areas experienced more rapid population growth during the 2000s. Hermiston, the most populous UGB, and Umatilla UGB posted the highest average annual growth rates at 2.1 and 2.8 percent, respectively, during the 2000 to 2010 period. Umatilla County’s positive population growth in the 2000s was the result of a steady natural increase and periods of substantial net in-migration. A larger number of births relative to deaths led to a natural increase (more births than deaths) in every year from 2000 to 2015 (Figure 12). While net in-migration fluctuated dramatically during the early and middle years of the last decade, the number of in-migrants has been slightly more stable during recent years, contributing to a population increase. Even so the natural increase continues to account for most of the population growth. Total population in Umatilla County as a whole as well as within its sub-areas will likely grow at a slightly faster pace in the near-term (2016 to 2035) compared to the long-term (2035-2066) (Figure 1). The tapering of growth rates is driven by an aging population—a demographic trend which is expected to contribute to an increase in deaths. Even so, natural increase is expected to persist, combining with steady in-migration for continued strong population growth. Umatilla County’s total population is forecast to increase by nearly 13,300 over the next 19 years (2016- 2035) and by close to 36,800 over the entire 50-year forecast period (2016-2066). All sub-areas are expected to experience population growth during the forecast period. Close

• 25. [Article] Coordinated Population Forecast for Lake County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2016-2066

  Lake County’s total population has grown slowly since 2000, with average annual growth rates of less than one percent between 2000 and 2010 (Figure 1). While the county, as a whole, experienced a population ...

  Citation × Citation Citation Abstract Copy Title: Coordinated Population Forecast for Lake County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2016-2066 Author: Portland State University. Population Research Center, Ruan, Xiaomin, Proehl, Risa, Jurjevich, Jason R., Rancik, Kevin, Kessi, Janai, Tetrick, David, Michel, Julia Year: 2016 Lake County’s total population has grown slowly since 2000, with average annual growth rates of less than one percent between 2000 and 2010 (Figure 1). While the county, as a whole, experienced a population increase, the two UGB areas both recorded population decline. At the same time the area outside UGBs posted substantial population growth during the 2000s, adding an average of nearly 90 new persons per year. Lake County’s positive population growth in the 2000s was the result of periods of substantial net in-migration. The larger number of deaths relative to births has led to a natural decrease (more deaths than births) in every year from 2000 to 2015 (Figure 12). While net in-migration fluctuated dramatically during the early and middle years of the last decade, the number of in-migrants has been slightly more stable during recent years, continuing to account for all of Lake County’s population increase. Total population in Lake County as a whole as well as within its sub-areas will likely grow at a slightly faster pace in the near-term (2016 to 2035) compared to the long-term (Figure 1). The tapering of growth rates is largely driven by an aging population—a demographic trend which is expected to contribute to a natural decrease (more deaths than births). As natural decrease occurs, population growth will become increasingly reliant on net in-migration. Even so, Lake County’s total population is forecast to increase by more than 600 over the next 19 years (2016-2035) and by more than 1,400 over the entire 50-year forecast period (2016-2066). Sub-areas that showed some population growth in the 2000s are expected to experience slower rates of population growth during the forecast period. Title: Coordinated Population Forecast for Lake County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2016-2066 Author: Portland State University. Population Research Center, Ruan, Xiaomin, Proehl, Risa, Jurjevich, Jason R., Rancik, Kevin, Kessi, Janai, Tetrick, David, Michel, Julia Year: 2016 Lake County’s total population has grown slowly since 2000, with average annual growth rates of less than one percent between 2000 and 2010 (Figure 1). While the county, as a whole, experienced a population increase, the two UGB areas both recorded population decline. At the same time the area outside UGBs posted substantial population growth during the 2000s, adding an average of nearly 90 new persons per year. Lake County’s positive population growth in the 2000s was the result of periods of substantial net in-migration. The larger number of deaths relative to births has led to a natural decrease (more deaths than births) in every year from 2000 to 2015 (Figure 12). While net in-migration fluctuated dramatically during the early and middle years of the last decade, the number of in-migrants has been slightly more stable during recent years, continuing to account for all of Lake County’s population increase. Total population in Lake County as a whole as well as within its sub-areas will likely grow at a slightly faster pace in the near-term (2016 to 2035) compared to the long-term (Figure 1). The tapering of growth rates is largely driven by an aging population—a demographic trend which is expected to contribute to a natural decrease (more deaths than births). As natural decrease occurs, population growth will become increasingly reliant on net in-migration. Even so, Lake County’s total population is forecast to increase by more than 600 over the next 19 years (2016-2035) and by more than 1,400 over the entire 50-year forecast period (2016-2066). Sub-areas that showed some population growth in the 2000s are expected to experience slower rates of population growth during the forecast period. Close

• 26. [Article] Coordinated Population Forecast for Harney County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2016-2066

  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. Harney ...

  Citation × Citation Citation Abstract Copy Title: Coordinated Population Forecast for Harney County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2016-2066 Author: Portland State University. Population Research Center, Ruan, Xiaomin, Proehl, Risa, Jurjevich, Jason R., Rancik, Kevin, Kessi, Janai, Tetrick, David, Michel, Julia Year: 2016 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. Harney County’s total population has slowly declined since 2000, with an average annual rate of negative 0.2 percent between 2000 and 2010 (Figure 1). Burns is accountable for the county’s overall declining population. All other sub-areas experienced very slight population growths during the 2000 to 2010 period, increasing by a total of 32 persons. Harney County’s population decline in the 2000s was the direct result of frequent net out-migration. The county’s aging population has contributed to an increase in deaths, however, a larger number of births relative to deaths caused a natural increase for 8 out of the 15 years between 2000 and 2015 (Figure 12). Even so, net out-migration outweighed these slight natural increases, causing a slow decrease in the Harney County’s population since 2000. Total population in Harney County as a whole as well as within its sub-areas are forecast to all decrease at a slightly faster rate in the near-term (2016 to 2035) compared to the long-term (Figure 1). The tapering of growth rates is largely driven by an aging population—a demographic trend which is expected to contribute to a natural decrease (more deaths than births). As natural decrease occurs, population growth will become increasingly reliant on net in-migration. Harney County’s total population is forecast to decrease by more than 500 persons over the entire 50-year forecast period (2016-2066), a loss in population mostly happening in areas outside the UGBs. Sub-areas are expected to generally follow historical patterns of population decrease over the forecast period. Title: Coordinated Population Forecast for Harney County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2016-2066 Author: Portland State University. Population Research Center, Ruan, Xiaomin, Proehl, Risa, Jurjevich, Jason R., Rancik, Kevin, Kessi, Janai, Tetrick, David, Michel, Julia Year: 2016 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. Harney County’s total population has slowly declined since 2000, with an average annual rate of negative 0.2 percent between 2000 and 2010 (Figure 1). Burns is accountable for the county’s overall declining population. All other sub-areas experienced very slight population growths during the 2000 to 2010 period, increasing by a total of 32 persons. Harney County’s population decline in the 2000s was the direct result of frequent net out-migration. The county’s aging population has contributed to an increase in deaths, however, a larger number of births relative to deaths caused a natural increase for 8 out of the 15 years between 2000 and 2015 (Figure 12). Even so, net out-migration outweighed these slight natural increases, causing a slow decrease in the Harney County’s population since 2000. Total population in Harney County as a whole as well as within its sub-areas are forecast to all decrease at a slightly faster rate in the near-term (2016 to 2035) compared to the long-term (Figure 1). The tapering of growth rates is largely driven by an aging population—a demographic trend which is expected to contribute to a natural decrease (more deaths than births). As natural decrease occurs, population growth will become increasingly reliant on net in-migration. Harney County’s total population is forecast to decrease by more than 500 persons over the entire 50-year forecast period (2016-2066), a loss in population mostly happening in areas outside the UGBs. Sub-areas are expected to generally follow historical patterns of population decrease over the forecast period. Close

• 27. [Article] Portland Public Schools Enrollment Forecasts, 2012-13 to 2025-26, Based on October 2011 Enrollments

  The Portland Public School District (PPS) enrolled 46,206 K‐12 students in Fall 2011, an increase of 465 students (1.0 percent) from Fall 2010. This was the third consecutive year of K‐12 growth, a reversal ...

  Citation × Citation Citation Abstract Copy Title: Portland Public Schools Enrollment Forecasts, 2012-13 to 2025-26, Based on October 2011 Enrollments Author: Portland State University. Population Research Center, Rynerson, Charles, Siu, Vivian, Dann, Ryan, Jurjevich, Jason R. Year: 2012 The Portland Public School District (PPS) enrolled 46,206 K‐12 students in Fall 2011, an increase of 465 students (1.0 percent) from Fall 2010. This was the third consecutive year of K‐12 growth, a reversal from the 12 consecutive years of enrollment losses between 1997 and 2008. For the three year period since 2008‐09, the District has grown by 1,182 K‐12 students (2.6 percent). This report includes analysis of population, housing and enrollment trends affecting the District in recent years, forecasts of district‐wide enrollment, and Enrollment Forecasts by area of residence (high school clusters, school attendance areas) and by individual school of attendance for the 2012‐13 to 2025‐26 school years. For the district‐wide forecast, three scenarios of population and enrollment changes were developed: a most‐likely, or medium, growth scenario; a scenario for lower growth; and a higher growth scenario. All three of the growth scenarios for the PPS district‐wide Enrollment Forecasts use similar mortality, fertility, and capture rates during the 14 year horizon. The differences between the three scenarios are primarily due to different assumptions about the levels of net migration (the net movement into and out of the District) among families with children. Title: Portland Public Schools Enrollment Forecasts, 2012-13 to 2025-26, Based on October 2011 Enrollments Author: Portland State University. Population Research Center, Rynerson, Charles, Siu, Vivian, Dann, Ryan, Jurjevich, Jason R. Year: 2012 The Portland Public School District (PPS) enrolled 46,206 K‐12 students in Fall 2011, an increase of 465 students (1.0 percent) from Fall 2010. This was the third consecutive year of K‐12 growth, a reversal from the 12 consecutive years of enrollment losses between 1997 and 2008. For the three year period since 2008‐09, the District has grown by 1,182 K‐12 students (2.6 percent). This report includes analysis of population, housing and enrollment trends affecting the District in recent years, forecasts of district‐wide enrollment, and Enrollment Forecasts by area of residence (high school clusters, school attendance areas) and by individual school of attendance for the 2012‐13 to 2025‐26 school years. For the district‐wide forecast, three scenarios of population and enrollment changes were developed: a most‐likely, or medium, growth scenario; a scenario for lower growth; and a higher growth scenario. All three of the growth scenarios for the PPS district‐wide Enrollment Forecasts use similar mortality, fertility, and capture rates during the 14 year horizon. The differences between the three scenarios are primarily due to different assumptions about the levels of net migration (the net movement into and out of the District) among families with children. Close

• 28. [Article] Is Portland Really the Place Where Young People Go To Retire? Analyzing Labor Market Outcomes for Portland’s Young and College-Educated

  Few segments of the population are more critical to Portland’s future economic vitality than the young and college‐educated (YCE). In the last several decades the Portland metropolitan region has become ...

  Citation × Citation Citation Abstract Copy Title: Is Portland Really the Place Where Young People Go To Retire? Analyzing Labor Market Outcomes for Portland’s Young and College-Educated Author: Jurjevich, Jason R., Schrock, Greg Year: 2012 Few segments of the population are more critical to Portland’s future economic vitality than the young and college‐educated (YCE). In the last several decades the Portland metropolitan region has become a magnet for YCEs nationally, boasting one of the country’s highest net migration rates for college‐educated individuals under the age of 40, a trend that has continued in good economic times and bad. The infusion of human capital from other regions has undoubtedly been a benefit to Portland, especially given Oregon’s historically low levels of investment in higher education. However, in recent years there has been growing concern about the poor labor market prospects for Portland’s YCEs, in particular the problem of underemployment. The television show Portlandia has amusingly captured this concern, dubbing the city "the place where young people go to retire." To the extent that Portland’s YCEs face a chronically difficult job market, there is cause for concern that college graduates will stop moving to Portland, or that those who have moved here won’t stay. Title: Is Portland Really the Place Where Young People Go To Retire? Analyzing Labor Market Outcomes for Portland’s Young and College-Educated Author: Jurjevich, Jason R., Schrock, Greg Year: 2012 Few segments of the population are more critical to Portland’s future economic vitality than the young and college‐educated (YCE). In the last several decades the Portland metropolitan region has become a magnet for YCEs nationally, boasting one of the country’s highest net migration rates for college‐educated individuals under the age of 40, a trend that has continued in good economic times and bad. The infusion of human capital from other regions has undoubtedly been a benefit to Portland, especially given Oregon’s historically low levels of investment in higher education. However, in recent years there has been growing concern about the poor labor market prospects for Portland’s YCEs, in particular the problem of underemployment. The television show Portlandia has amusingly captured this concern, dubbing the city "the place where young people go to retire." To the extent that Portland’s YCEs face a chronically difficult job market, there is cause for concern that college graduates will stop moving to Portland, or that those who have moved here won’t stay. Close

• 29. [Article] Coordinated Population Forecast for Malheur County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2016-2066

  During the 2000s, Malheur County, as a whole, experienced population decline (Figure 1); however three of its sub-areas recorded a slight population increase. Adrian grew at an average annual rate of nearly ...

  Citation × Citation Citation Abstract Copy Title: Coordinated Population Forecast for Malheur County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2016-2066 Author: Portland State University. Population Research Center, Ruan, Xiaomin, Proehl, Risa, Jurjevich, Jason R., Rancik, Kevin, Kessi, Janai, Tetrick, David, Michel, Julia Year: 2016 During the 2000s, Malheur County, as a whole, experienced population decline (Figure 1); however three of its sub-areas recorded a slight population increase. Adrian grew at an average annual rate of nearly two percent, while Ontario and the area outside UGBs saw more modest growth rates. Even so the population loss recorded by Vale, Nyssa, and Jordan Valley totaled nearly 600, leading the countywide population to decrease. Malheur County’s population decline in the 2000s was the combined result of a diminishing natural increase and periods of substantial net out-migration (Figure 12). The larger number of births relative to deaths has led to a natural increase (more births than deaths) in every year from 2000 to 2015. Net out-migration slowed toward the end of the last decade (2000-2010) combining with a relatively steady natural increase for moderate population increase in four out of the five years since 2010. Malheur County’s total population is forecast to grow by a little more than 400 persons (1.3 percent) from 2016 to 2066, which translates into a total countywide population of nearly 32,000 in 2066 (Figure 1). Population growth is forecast to be modest, becoming increasingly so as time progresses through the forecast period. Forecasting modest population growth is driven by both an aging population—contributing to a steady increase in deaths over the entire forecast period—as well as diminishing net out-migration. Title: Coordinated Population Forecast for Malheur County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2016-2066 Author: Portland State University. Population Research Center, Ruan, Xiaomin, Proehl, Risa, Jurjevich, Jason R., Rancik, Kevin, Kessi, Janai, Tetrick, David, Michel, Julia Year: 2016 During the 2000s, Malheur County, as a whole, experienced population decline (Figure 1); however three of its sub-areas recorded a slight population increase. Adrian grew at an average annual rate of nearly two percent, while Ontario and the area outside UGBs saw more modest growth rates. Even so the population loss recorded by Vale, Nyssa, and Jordan Valley totaled nearly 600, leading the countywide population to decrease. Malheur County’s population decline in the 2000s was the combined result of a diminishing natural increase and periods of substantial net out-migration (Figure 12). The larger number of births relative to deaths has led to a natural increase (more births than deaths) in every year from 2000 to 2015. Net out-migration slowed toward the end of the last decade (2000-2010) combining with a relatively steady natural increase for moderate population increase in four out of the five years since 2010. Malheur County’s total population is forecast to grow by a little more than 400 persons (1.3 percent) from 2016 to 2066, which translates into a total countywide population of nearly 32,000 in 2066 (Figure 1). Population growth is forecast to be modest, becoming increasingly so as time progresses through the forecast period. Forecasting modest population growth is driven by both an aging population—contributing to a steady increase in deaths over the entire forecast period—as well as diminishing net out-migration. Close

• 30. [Article] Coordinated Population Forecast for Grant County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2016-2066

  Grant County’s total population has declined since 2000, losing an average of about 50 persons per year between 2000 and 2010 (Figure 1). With the exception of minimal population increase among three small ...

  Citation × Citation Citation Abstract Copy Title: Coordinated Population Forecast for Grant County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2016-2066 Author: Portland State University. Population Research Center, Ruan, Xiaomin, Proehl, Risa, Jurjevich, Jason R., Rancik, Kevin, Kessi, Janai, Tetrick, David, Michel, Julia Year: 2016 Grant County’s total population has declined since 2000, losing an average of about 50 persons per year between 2000 and 2010 (Figure 1). With the exception of minimal population increase among three small UGBs, every sub-area recorded population loss during the 2000s. Prairie City and the area outside UGBs posted the largest losses, losing on average about 17 and 19 persons per year, respectively. Grant County’s population decline in the 2000s was the result of a consistent natural decrease as well as relatively steady net out-migration (Figure 12). The smaller number of births relative to deaths led to a natural decrease (more deaths than births) in nearly every year from 2000 to 2015. While net out-migration was common during the last decade (2000-2010), in recent years (2010-2015) net in-migration has occurred. Even so, natural decrease has persisted and generally exceeded net in-migration, leading to continued population decline. Grant County is expected to experience population decline over the 50-year forecast period. This population loss will likely occur at a relatively uniform rate among the county’s sub-areas, with losses occurring at an increasing rate as time progresses. For Grant County as a whole, increasing natural decrease and relatively steady net in-migration are expected to lead to population decline. An aging population is expected to not only lead to an increase in deaths, but a smaller proportion of women in their childbearing years will likely result in a long-term decline in births. Net in-migration is expected to persist throughout the entire forecast period, but will not fully offset the natural decrease, leading to population decline. Title: Coordinated Population Forecast for Grant County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2016-2066 Author: Portland State University. Population Research Center, Ruan, Xiaomin, Proehl, Risa, Jurjevich, Jason R., Rancik, Kevin, Kessi, Janai, Tetrick, David, Michel, Julia Year: 2016 Grant County’s total population has declined since 2000, losing an average of about 50 persons per year between 2000 and 2010 (Figure 1). With the exception of minimal population increase among three small UGBs, every sub-area recorded population loss during the 2000s. Prairie City and the area outside UGBs posted the largest losses, losing on average about 17 and 19 persons per year, respectively. Grant County’s population decline in the 2000s was the result of a consistent natural decrease as well as relatively steady net out-migration (Figure 12). The smaller number of births relative to deaths led to a natural decrease (more deaths than births) in nearly every year from 2000 to 2015. While net out-migration was common during the last decade (2000-2010), in recent years (2010-2015) net in-migration has occurred. Even so, natural decrease has persisted and generally exceeded net in-migration, leading to continued population decline. Grant County is expected to experience population decline over the 50-year forecast period. This population loss will likely occur at a relatively uniform rate among the county’s sub-areas, with losses occurring at an increasing rate as time progresses. For Grant County as a whole, increasing natural decrease and relatively steady net in-migration are expected to lead to population decline. An aging population is expected to not only lead to an increase in deaths, but a smaller proportion of women in their childbearing years will likely result in a long-term decline in births. Net in-migration is expected to persist throughout the entire forecast period, but will not fully offset the natural decrease, leading to population decline. Close