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• 1. [Article] Clatsop County Latinos: A Demographic and Economic Profile

  Demographic change continues at an unprecedented rate across Oregon. In part driven by Latino population growth, the state’s future will include a population that only recently began to call Oregon home. ...

  Citation × Citation Citation Abstract Copy Title: Clatsop County Latinos: A Demographic and Economic Profile Author: Zapata, Marisa, Hudson, Amanda Year: 2016 Demographic change continues at an unprecedented rate across Oregon. In part driven by Latino population growth, the state’s future will include a population that only recently began to call Oregon home. Clatsop County is one area that is experiencing this population change (See Figure 1). Clatsop County has long remained ethnically homogenous. Yet, the rapid growth of the Latino population coincides at a time where the White population decreases in much of the county. There are few reports, describing the needs of the Latino population in the areas of planning and community. This report details several key demographic and economic indicators for the Latino community from secondary data sources to help planners, community developers, and policy makers understand the unique needs of the Hispanic population. The picture these data sources display, tells the story of a young, family oriented community struggling to find affordable housing and economic opportunities. Title: Clatsop County Latinos: A Demographic and Economic Profile Author: Zapata, Marisa, Hudson, Amanda Year: 2016 Demographic change continues at an unprecedented rate across Oregon. In part driven by Latino population growth, the state’s future will include a population that only recently began to call Oregon home. Clatsop County is one area that is experiencing this population change (See Figure 1). Clatsop County has long remained ethnically homogenous. Yet, the rapid growth of the Latino population coincides at a time where the White population decreases in much of the county. There are few reports, describing the needs of the Latino population in the areas of planning and community. This report details several key demographic and economic indicators for the Latino community from secondary data sources to help planners, community developers, and policy makers understand the unique needs of the Hispanic population. The picture these data sources display, tells the story of a young, family oriented community struggling to find affordable housing and economic opportunities. 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] 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

• 5. [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

• 6. [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

• 7. [Article] Salem‐Keizer School District Population and Enrollment Forecast Update 2016‐17 to 2035‐36

  The district‐wide and individual school forecasts have been updated to incorporate 2015‐16 enrollments by school and the latest birth and residential development data, and have been extended to include ...

  Citation × Citation Citation Abstract Copy Title: Salem‐Keizer School District Population and Enrollment Forecast Update 2016‐17 to 2035‐36 Author: Portland State University. Population Research Center, Rynerson, Charles, Chun, Nicholas Year: 2016 The district‐wide and individual school forecasts have been updated to incorporate 2015‐16 enrollments by school and the latest birth and residential development data, and have been extended to include forecasts for 2025‐26 and 2035‐36. For more demographic information about the Salem‐Keizer School District (SKSD), see “Salem‐Keizer School District Population and Enrollment Forecasts, 2015‐16 to 2024‐25” prepared by Portland State University Population Research Center (PRC) in June 2015. Title: Salem‐Keizer School District Population and Enrollment Forecast Update 2016‐17 to 2035‐36 Author: Portland State University. Population Research Center, Rynerson, Charles, Chun, Nicholas Year: 2016 The district‐wide and individual school forecasts have been updated to incorporate 2015‐16 enrollments by school and the latest birth and residential development data, and have been extended to include forecasts for 2025‐26 and 2035‐36. For more demographic information about the Salem‐Keizer School District (SKSD), see “Salem‐Keizer School District Population and Enrollment Forecasts, 2015‐16 to 2024‐25” prepared by Portland State University Population Research Center (PRC) in June 2015. Close

• 8. [Article] Two Forecasting Models for Portland, Oregon: Hamilton –Perry vs Metroscope

  Presentation focuses on population forecasting models and compares the Metroscope Forecasting Model and the Hamilton-Perry Model.

  Citation × Citation Citation Abstract Copy Title: Two Forecasting Models for Portland, Oregon: Hamilton –Perry vs Metroscope Author: Lycan, Richard Year: 2017 Presentation focuses on population forecasting models and compares the Metroscope Forecasting Model and the Hamilton-Perry Model. Title: Two Forecasting Models for Portland, Oregon: Hamilton –Perry vs Metroscope Author: Lycan, Richard Year: 2017 Presentation focuses on population forecasting models and compares the Metroscope Forecasting Model and the Hamilton-Perry Model. Close

• 9. [Article] Grid Based School Enrollment Forecasting

  In this paper we will show how a simple model that is normally based on data for school attendance areas –elementary, middle, and high school, or perhaps planning areas, can be implemented for small grid ...

  Citation × Citation Citation Abstract Copy Title: Grid Based School Enrollment Forecasting Author: Lycan, Richard, Rynerson, Charles Year: 2014 In this paper we will show how a simple model that is normally based on data for school attendance areas –elementary, middle, and high school, or perhaps planning areas, can be implemented for small grid areas roughly the size of a city block. Title: Grid Based School Enrollment Forecasting Author: Lycan, Richard, Rynerson, Charles Year: 2014 In this paper we will show how a simple model that is normally based on data for school attendance areas –elementary, middle, and high school, or perhaps planning areas, can be implemented for small grid areas roughly the size of a city block. Close

• 10. [Article] Summary of 2014 Estimates Findings: Based on Preliminary Estimates

  Summary of the 2014 estimates findings

  Citation × Citation Citation Abstract Copy Title: Summary of 2014 Estimates Findings: Based on Preliminary Estimates Author: Proehl, Risa S. Year: 2014 Summary of the 2014 estimates findings Title: Summary of 2014 Estimates Findings: Based on Preliminary Estimates Author: Proehl, Risa S. Year: 2014 Summary of the 2014 estimates findings Close