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• 1. [Article] Methods and Data for Developing Coordinated Population Forecasts

  This document is to accompany the coordinated population forecasts and their corresponding reports prepared by the Population Research Center (PRC). Developing long-term coordinated population forecasts ...

  Citation × Citation Citation Abstract Copy Title: Methods and Data for Developing Coordinated Population Forecasts Author: Portland State University. Population Research Center Year: 2015 This document is to accompany the coordinated population forecasts and their corresponding reports prepared by the Population Research Center (PRC). Developing long-term coordinated population forecasts for a county and its sub-areas (UGBs and areas outside UGBs are referred to sub-areas in this document), requires these main stages: 1) compiling and evaluating historical and recent data to ascertain demographic characteristics and trends in the study area and to obtain a population base from which the forecasts may be launched; 2) making assumptions about the future and adjusting the data or rates in the forecasting models (calibrating the models) to incorporate predicted rates or trends; and 3) reconciling, or adjusting the forecasts so the sum of the sub-area forecasts is consistent with the forecast for the county total. We first develop population projections and then we make adjustments to these projections in order to produce population forecasts. Population projections are developed by extending historical and current demographic and housing trends into the future. Forecasting population requires that assumptions be made about future population change, and adjusting the projection models to account for circumstances that perhaps skewed past trends or may affect future change. Such circumstances in the past could be a building moratorium or the opening of a new group quarters facility. Events affecting future change would be, for example, planned future housing development that is higher than usual, a foreseen change in an area’s physical ability to accommodate growth (buildable land available is approaching capacity or improvements to infrastructure are underway), anticipated changes in the economy (the location of a new employer or the upswing or downturn of the economy in general), or an expected change in the local population and household composition (age, ethnicity, and average household size). Title: Methods and Data for Developing Coordinated Population Forecasts Author: Portland State University. Population Research Center Year: 2015 This document is to accompany the coordinated population forecasts and their corresponding reports prepared by the Population Research Center (PRC). Developing long-term coordinated population forecasts for a county and its sub-areas (UGBs and areas outside UGBs are referred to sub-areas in this document), requires these main stages: 1) compiling and evaluating historical and recent data to ascertain demographic characteristics and trends in the study area and to obtain a population base from which the forecasts may be launched; 2) making assumptions about the future and adjusting the data or rates in the forecasting models (calibrating the models) to incorporate predicted rates or trends; and 3) reconciling, or adjusting the forecasts so the sum of the sub-area forecasts is consistent with the forecast for the county total. We first develop population projections and then we make adjustments to these projections in order to produce population forecasts. Population projections are developed by extending historical and current demographic and housing trends into the future. Forecasting population requires that assumptions be made about future population change, and adjusting the projection models to account for circumstances that perhaps skewed past trends or may affect future change. Such circumstances in the past could be a building moratorium or the opening of a new group quarters facility. Events affecting future change would be, for example, planned future housing development that is higher than usual, a foreseen change in an area’s physical ability to accommodate growth (buildable land available is approaching capacity or improvements to infrastructure are underway), anticipated changes in the economy (the location of a new employer or the upswing or downturn of the economy in general), or an expected change in the local population and household composition (age, ethnicity, and average household size). Close

• 2. [Article] McMinnville School District Enrollment Forecasts 2015-16 to 2024-25

  This report presents the results of a demographic study conducted by the Portland State University Population Research Center (PRC) for the McMinnville School District (MSD). The study includes analysis ...

  Citation × Citation Citation Abstract Copy Title: McMinnville School District Enrollment Forecasts 2015-16 to 2024-25 Author: Portland State University. Population Research Center, Rynerson, Charles, Chun, Nicholas Year: 2015 This report presents the results of a demographic study conducted by the Portland State University Population Research Center (PRC) for the McMinnville School District (MSD). The study includes analysis of population, housing and enrollment trends affecting the District in recent years and forecasts of district‐wide enrollments for a ten year period from 2015‐16 to 2024‐25 and of individual schools for a five year period from 2015‐16 to 2019‐20. Title: McMinnville School District Enrollment Forecasts 2015-16 to 2024-25 Author: Portland State University. Population Research Center, Rynerson, Charles, Chun, Nicholas Year: 2015 This report presents the results of a demographic study conducted by the Portland State University Population Research Center (PRC) for the McMinnville School District (MSD). The study includes analysis of population, housing and enrollment trends affecting the District in recent years and forecasts of district‐wide enrollments for a ten year period from 2015‐16 to 2024‐25 and of individual schools for a five year period from 2015‐16 to 2019‐20. Close

• 3. [Article] Sherwood School District Population and Enrollment Forecasts 2014-15 to 2023-24

  This report presents the results of a demographic study conducted by the Portland State University Population Research Center (PRC) for the Sherwood School District (SSD). The study includes analysis of ...

  Citation × Citation Citation Abstract Copy Title: Sherwood School District Population and Enrollment Forecasts 2014-15 to 2023-24 Author: Portland State University. Population Research Center, Rynerson, Charles, Stewart, Scott Year: 2014 This report presents the results of a demographic study conducted by the Portland State University Population Research Center (PRC) for the Sherwood School District (SSD). The study includes analysis of population, housing and enrollment trends affecting the District in recent years, estimates of the impacts of housing development on SSD enrollment, and forecasts of district‐wide and individual school enrollments for the 2014‐15 to 2023‐24 school years. Title: Sherwood School District Population and Enrollment Forecasts 2014-15 to 2023-24 Author: Portland State University. Population Research Center, Rynerson, Charles, Stewart, Scott Year: 2014 This report presents the results of a demographic study conducted by the Portland State University Population Research Center (PRC) for the Sherwood School District (SSD). The study includes analysis of population, housing and enrollment trends affecting the District in recent years, estimates of the impacts of housing development on SSD enrollment, and forecasts of district‐wide and individual school enrollments for the 2014‐15 to 2023‐24 school years. Close

• 4. [Article] Eagle Point School District Enrollment Forecasts 2014-15 to 2023-24

  This report presents the results of a demographic study conducted by the Portland State University Population Research Center. The study includes analyses of population, housing and enrollment trends affecting ...

  Citation × Citation Citation Abstract Copy Title: Eagle Point School District Enrollment Forecasts 2014-15 to 2023-24 Author: Portland State University. Population Research Center, Rynerson, Charles, Siu, Vivian, Rancik, Kevin Christopher Year: 2013 This report presents the results of a demographic study conducted by the Portland State University Population Research Center. The study includes analyses of population, housing and enrollment trends affecting the Eagle Point School District (EPSD) in recent years, forecasts of district‐wide enrollment by grade level and total enrollment of individual schools for the 2014‐ 15 to 2023‐24 school years. Title: Eagle Point School District Enrollment Forecasts 2014-15 to 2023-24 Author: Portland State University. Population Research Center, Rynerson, Charles, Siu, Vivian, Rancik, Kevin Christopher Year: 2013 This report presents the results of a demographic study conducted by the Portland State University Population Research Center. The study includes analyses of population, housing and enrollment trends affecting the Eagle Point School District (EPSD) in recent years, forecasts of district‐wide enrollment by grade level and total enrollment of individual schools for the 2014‐ 15 to 2023‐24 school years. Close

• 5. [Article] Tigard-Tualatin School District Enrollment Forecast Update 2014-15 to 2023-24

  This report presents the results of a demographic study conducted by the Portland State University Population Research Center (PRC) for the Tigard‐Tualatin School District (TTSD). The study includes analysis ...

  Citation × Citation Citation Abstract Copy Title: Tigard-Tualatin School District Enrollment Forecast Update 2014-15 to 2023-24 Author: Portland State University. Population Research Center, Rynerson, Charles, Dann, Ryan Year: 2013 This report presents the results of a demographic study conducted by the Portland State University Population Research Center (PRC) for the Tigard‐Tualatin School District (TTSD). The study includes analysis of population, housing and enrollment trends affecting the District in recent years, estimates of the impacts of housing development on TTSD enrollment, and forecasts of district‐wide and individual school enrollments for the 2014‐15 to 2023‐24 school years. Title: Tigard-Tualatin School District Enrollment Forecast Update 2014-15 to 2023-24 Author: Portland State University. Population Research Center, Rynerson, Charles, Dann, Ryan Year: 2013 This report presents the results of a demographic study conducted by the Portland State University Population Research Center (PRC) for the Tigard‐Tualatin School District (TTSD). The study includes analysis of population, housing and enrollment trends affecting the District in recent years, estimates of the impacts of housing development on TTSD enrollment, and forecasts of district‐wide and individual school enrollments for the 2014‐15 to 2023‐24 school years. Close

• 6. [Article] Hermiston School District Enrolment Forecasts 2014-15 to 2023-24

  This report presents the results of a demographic study conducted by the Portland State University Population Research Center. The study includes analyses of population, housing and enrollment trends affecting ...

  Citation × Citation Citation Abstract Copy Title: Hermiston School District Enrolment Forecasts 2014-15 to 2023-24 Author: Portland State University. Population Research Center, Rynerson, Charles, Siu, Vivian Year: 2014 This report presents the results of a demographic study conducted by the Portland State University Population Research Center. The study includes analyses of population, housing and enrollment trends affecting the Hermiston School District (HSD) in recent years, and forecasts of district‐wide enrollment by grade level for the 2014‐15 to 2023‐24 school years. Title: Hermiston School District Enrolment Forecasts 2014-15 to 2023-24 Author: Portland State University. Population Research Center, Rynerson, Charles, Siu, Vivian Year: 2014 This report presents the results of a demographic study conducted by the Portland State University Population Research Center. The study includes analyses of population, housing and enrollment trends affecting the Hermiston School District (HSD) in recent years, and forecasts of district‐wide enrollment by grade level for the 2014‐15 to 2023‐24 school years. Close

• 7. [Article] McMinnville School District Enrollment Forecasts 2017-18 to 2026-27

  This report presents the results of a demographic study conducted by the Portland State University Population Research Center (PRC) for the McMinnville School District (MSD). The study includes analysis ...

  Citation × Citation Citation Abstract Copy Title: McMinnville School District Enrollment Forecasts 2017-18 to 2026-27 Author: Portland State University. Population Research Center, Rynerson, Charles, Yang, Xi Year: 2017 This report presents the results of a demographic study conducted by the Portland State University Population Research Center (PRC) for the McMinnville School District (MSD). The study includes analysis of population, housing and enrollment trends affecting the District in recent years and forecasts of district‐wide enrollments for a ten year period from 2017‐18 to 2026‐27 and of individual schools for a five year period from 2017‐18 to 2021‐22. Title: McMinnville School District Enrollment Forecasts 2017-18 to 2026-27 Author: Portland State University. Population Research Center, Rynerson, Charles, Yang, Xi Year: 2017 This report presents the results of a demographic study conducted by the Portland State University Population Research Center (PRC) for the McMinnville School District (MSD). The study includes analysis of population, housing and enrollment trends affecting the District in recent years and forecasts of district‐wide enrollments for a ten year period from 2017‐18 to 2026‐27 and of individual schools for a five year period from 2017‐18 to 2021‐22. Close

• 8. [Article] McMinnville School District Enrollment Forecasts 2013-14 to 2022-23

  The McMinnville School District (MSD) requested that the Portland State University Population Research Center (PRC) prepare enrollment forecasts for use in the District’s long‐range planning. The current ...

  Citation × Citation Citation Abstract Copy Title: McMinnville School District Enrollment Forecasts 2013-14 to 2022-23 Author: Portland State University. Population Research Center, Rynerson, Charles, Dann, Ryan, Siu, Vivian Year: 2013 The McMinnville School District (MSD) requested that the Portland State University Population Research Center (PRC) prepare enrollment forecasts for use in the District’s long‐range planning. The current study integrates information about MSD and updates the work PRC conducted in 2008 and 2011, providing a snapshot of demographic, housing, and school enrollment patterns and trends. This report also presents an extended district‐wide enrollment forecasts for a ten year period from 2013‐14 to 2022‐23 and individual school forecasts for a five year period from 2013‐14 to 2017‐18. Title: McMinnville School District Enrollment Forecasts 2013-14 to 2022-23 Author: Portland State University. Population Research Center, Rynerson, Charles, Dann, Ryan, Siu, Vivian Year: 2013 The McMinnville School District (MSD) requested that the Portland State University Population Research Center (PRC) prepare enrollment forecasts for use in the District’s long‐range planning. The current study integrates information about MSD and updates the work PRC conducted in 2008 and 2011, providing a snapshot of demographic, housing, and school enrollment patterns and trends. This report also presents an extended district‐wide enrollment forecasts for a ten year period from 2013‐14 to 2022‐23 and individual school forecasts for a five year period from 2013‐14 to 2017‐18. Close

• 9. [Article] Coordinated Population Forecast for Josephine 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. Josephine ...

  Citation × Citation Citation Abstract Copy Title: Coordinated Population Forecast for Josephine 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. Josephine County’s total population as a whole has grown slowly since 2000; with an average annual growth rate of less than one percent between 2000 and 2010 (Figure 1); however some of its sub-areas experienced more rapid population growth during the 2000s. Grants Pass and Cave Junction posted average annual growth rates at 2.1 and 1.6 percent, respectively, during the 2000 to 2010 period. Josephine County’s positive population growth in the 2000s was the result of substantial net inmigration. 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 slow growth in the number of births. The growing number of deaths and shrinking number of births led to natural decrease—more deaths than births—in every year from 2000 to 2014. While net in-migration outweighed natural decrease during the early and middle years of the last decade, the gap between these two numbers shrank during the later years— bringing population decline in 2012. Since 2012 net in-migration has increased, driving population increase for 2013 and 2014. Total population in Josephine County as a whole as well as within its sub-areas will likely 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 over time population growth is expected to become increasingly reliant on net in-migration. Even so, Josephine County’s total population is forecast to increase by more than 16,000 over the next 20 years (2015-2035) and by nearly 38,000 over the entire 50-year forecast period (2015-2065). Subareas 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 Josephine 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. Josephine County’s total population as a whole has grown slowly since 2000; with an average annual growth rate of less than one percent between 2000 and 2010 (Figure 1); however some of its sub-areas experienced more rapid population growth during the 2000s. Grants Pass and Cave Junction posted average annual growth rates at 2.1 and 1.6 percent, respectively, during the 2000 to 2010 period. Josephine County’s positive population growth in the 2000s was the result of substantial net inmigration. 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 slow growth in the number of births. The growing number of deaths and shrinking number of births led to natural decrease—more deaths than births—in every year from 2000 to 2014. While net in-migration outweighed natural decrease during the early and middle years of the last decade, the gap between these two numbers shrank during the later years— bringing population decline in 2012. Since 2012 net in-migration has increased, driving population increase for 2013 and 2014. Total population in Josephine County as a whole as well as within its sub-areas will likely 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 over time population growth is expected to become increasingly reliant on net in-migration. Even so, Josephine County’s total population is forecast to increase by more than 16,000 over the next 20 years (2015-2035) and by nearly 38,000 over the entire 50-year forecast period (2015-2065). Subareas that showed strong population growth in the 2000s are expected to experience similar rates of population growth during the forecast period. Close

• 10. [Article] Coordinated Population Forecast for Coos 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. Coos ...

  Citation × Citation Citation Abstract Copy Title: Coordinated Population Forecast for Coos 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. Coos County’s total population has grown slowly since 2000; with average annual growth rates of nearly zero between 2000 and 2010 (Figure 1); however some of its sub-areas experienced more population growth during the 2000s. Lakeside and Bandon, for example, posted the highest average annual growth rates at 2.2 and 0.6 percent, respectively, during the 2000 to 2010 period. Coos County’s positive population growth in the 2000s was the result of sporadic net in-migration. 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 fewer births in recent years. The larger number of deaths relative to births caused natural decrease (more deaths than births) in every year from 2000 to 2014. While periods of net in-migration outweighed natural decrease during the last decade, the gap between these two numbers shrank during the later years—bringing population decline from 2009 to 2013. Total population in Coos County as a whole, as well as within its sub-areas, will likely grow at a slightly faster pace in the first 20 years of the forecast period, and more slowly in the last 30 years (Figure 1). The tapering of growth rates is largely driven by an aging population—a demographic trend already yielding natural decrease (births minus deaths). As natural decrease persists and becomes more pronounced over time, population growth in Coos County is expected to become increasingly reliant on net in-migration. Even so, Coos County’s total population is forecast to increase by more than 1,200 over the next 20 years (2015-2035) and by more than 2,500 over the entire 50 year forecast period. Sub-areas that showed strong population growth in the 2000s will likely experience similar rates of population growth during the forecast period. Some sub-areas that experienced population loss in the 2000s are expected to show population gains throughout the forecast period, although these gains will likely be small. Title: Coordinated Population Forecast for Coos 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. Coos County’s total population has grown slowly since 2000; with average annual growth rates of nearly zero between 2000 and 2010 (Figure 1); however some of its sub-areas experienced more population growth during the 2000s. Lakeside and Bandon, for example, posted the highest average annual growth rates at 2.2 and 0.6 percent, respectively, during the 2000 to 2010 period. Coos County’s positive population growth in the 2000s was the result of sporadic net in-migration. 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 fewer births in recent years. The larger number of deaths relative to births caused natural decrease (more deaths than births) in every year from 2000 to 2014. While periods of net in-migration outweighed natural decrease during the last decade, the gap between these two numbers shrank during the later years—bringing population decline from 2009 to 2013. Total population in Coos County as a whole, as well as within its sub-areas, will likely grow at a slightly faster pace in the first 20 years of the forecast period, and more slowly in the last 30 years (Figure 1). The tapering of growth rates is largely driven by an aging population—a demographic trend already yielding natural decrease (births minus deaths). As natural decrease persists and becomes more pronounced over time, population growth in Coos County is expected to become increasingly reliant on net in-migration. Even so, Coos County’s total population is forecast to increase by more than 1,200 over the next 20 years (2015-2035) and by more than 2,500 over the entire 50 year forecast period. Sub-areas that showed strong population growth in the 2000s will likely experience similar rates of population growth during the forecast period. Some sub-areas that experienced population loss in the 2000s are expected to show population gains throughout the forecast period, although these gains will likely be small. Close