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• 1. [Article] Oregon's Changing Demographics 2000

  This is a report on Oregon's changing demographics in 2000.

  Citation × Citation Citation Abstract Copy Title: Oregon's Changing Demographics 2000 Author: Hough, George C., Jr., Portland State University. Population Research Center Year: 2000 This is a report on Oregon's changing demographics in 2000. Title: Oregon's Changing Demographics 2000 Author: Hough, George C., Jr., Portland State University. Population Research Center Year: 2000 This is a report on Oregon's changing demographics in 2000. Close

• 2. [Article] Demographic Update

  A summary of recent U.S., Oregon, and Portland Demographic Trends.

  Citation × Citation Citation Abstract Copy Title: Demographic Update Author: Rynerson, Charles Year: 2013 A summary of recent U.S., Oregon, and Portland Demographic Trends. Title: Demographic Update Author: Rynerson, Charles Year: 2013 A summary of recent U.S., Oregon, and Portland Demographic Trends. Close

• 3. [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

• 4. [Article] Enrollment Forecast for Horizon Christian School 2005-2015

  This report provides a 2005-2015 school Enrollment Forecast for Horizon Christian School by grade level, and includes background demographic information and analysis for Horizon Christian School’s market ...

  Citation × Citation Citation Abstract Copy Title: Enrollment Forecast for Horizon Christian School 2005-2015 Author: Portland State University. Population Research Center, Proehl, Risa S. Year: 2000 This report provides a 2005-2015 school Enrollment Forecast for Horizon Christian School by grade level, and includes background demographic information and analysis for Horizon Christian School’s market area. The market area for this study consists of Northern Wasco County and Hood River County School Districts in Oregon, and White Salmon School District in Washington. Horizon Christian School, offering grades pre-kindergarten through 12, is located in the city of Hood River and its classrooms are located in rented spaces at three different sites throughout the city. Plans to construct a new facility to house Horizon on one campus have been made. The factors that are likely to affect Horizon’s enrollments are considered in this report, including the occurrence of demographic events and the construction of a new school facility. Three different scenarios of enrollment changes were developed to account for different probabilities of demographic changes and the effects a new school facility will have on enrollments. Each of the three Enrollment Forecasts uses one of the following assumptions: (a) current demographic and enrollment trends will continue throughout the forecast period; (b) a new school facility will be constructed and operational beginning in the 2006-07 school year, and (c) a new school facility will be operational beginning in the 2006-07 school year and population growth in Horizon’s market area will increase during the forecast period. Title: Enrollment Forecast for Horizon Christian School 2005-2015 Author: Portland State University. Population Research Center, Proehl, Risa S. Year: 2000 This report provides a 2005-2015 school Enrollment Forecast for Horizon Christian School by grade level, and includes background demographic information and analysis for Horizon Christian School’s market area. The market area for this study consists of Northern Wasco County and Hood River County School Districts in Oregon, and White Salmon School District in Washington. Horizon Christian School, offering grades pre-kindergarten through 12, is located in the city of Hood River and its classrooms are located in rented spaces at three different sites throughout the city. Plans to construct a new facility to house Horizon on one campus have been made. The factors that are likely to affect Horizon’s enrollments are considered in this report, including the occurrence of demographic events and the construction of a new school facility. Three different scenarios of enrollment changes were developed to account for different probabilities of demographic changes and the effects a new school facility will have on enrollments. Each of the three Enrollment Forecasts uses one of the following assumptions: (a) current demographic and enrollment trends will continue throughout the forecast period; (b) a new school facility will be constructed and operational beginning in the 2006-07 school year, and (c) a new school facility will be operational beginning in the 2006-07 school year and population growth in Horizon’s market area will increase during the forecast period. Close

• 5. [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

• 6. [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

• 7. [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

• 8. [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

• 9. [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

• 10. [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

• 11. [Article] Population Forecasts for the Tri-City ServiceDistrict, Clackamas County Service District #1, Clackamas County Service District #1 with all Damascus, and the City of Milwaukie 2010-2040

  The Tri-City Service District (TCSD) and Clackamas County Service District #1 (CCSD #1), both of Clackamas County, requested that the Population Research Center (PRC) at Portland State University produce ...

  Citation × Citation Citation Abstract Copy Title: Population Forecasts for the Tri-City ServiceDistrict, Clackamas County Service District #1, Clackamas County Service District #1 with all Damascus, and the City of Milwaukie 2010-2040 Author: Portland State University. Population Research Center, Proehl, Risa S., Vaidya, Kanhaiya, RajBhandary, Bimal, Rancik, Kevin Year: 2011 The Tri-City Service District (TCSD) and Clackamas County Service District #1 (CCSD #1), both of Clackamas County, requested that the Population Research Center (PRC) at Portland State University produce long-term population forecasts for each of the two sewer service districts. In addition, CCSD#1 requested that forecasts also be developed to include the entire city of Damascus to account for possible future annexation into its district; and the city of Milwaukie, as CCSD#1 leases services to Milwaukie. The forecast horizon extends 30 years from 2010 to 2040, and projections are produced in 5-year intervals. For the 2010-2015 interval, forecast numbers for single years are included. Forecasts for three growth scenarios – high, medium, and low scenarios – are developed to account for different probabilities of demographic events. We consider the medium growth forecast to be the most-likely scenario. We also include in this report an analysis of recent demographic trends that have bearing on our assumptions for future growth in study areas. Title: Population Forecasts for the Tri-City ServiceDistrict, Clackamas County Service District #1, Clackamas County Service District #1 with all Damascus, and the City of Milwaukie 2010-2040 Author: Portland State University. Population Research Center, Proehl, Risa S., Vaidya, Kanhaiya, RajBhandary, Bimal, Rancik, Kevin Year: 2011 The Tri-City Service District (TCSD) and Clackamas County Service District #1 (CCSD #1), both of Clackamas County, requested that the Population Research Center (PRC) at Portland State University produce long-term population forecasts for each of the two sewer service districts. In addition, CCSD#1 requested that forecasts also be developed to include the entire city of Damascus to account for possible future annexation into its district; and the city of Milwaukie, as CCSD#1 leases services to Milwaukie. The forecast horizon extends 30 years from 2010 to 2040, and projections are produced in 5-year intervals. For the 2010-2015 interval, forecast numbers for single years are included. Forecasts for three growth scenarios – high, medium, and low scenarios – are developed to account for different probabilities of demographic events. We consider the medium growth forecast to be the most-likely scenario. We also include in this report an analysis of recent demographic trends that have bearing on our assumptions for future growth in study areas. Close

• 12. [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

• 13. [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

• 14. [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

• 15. [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

• 16. [Article] Experimental Race Estimates for Oregon: July 1, 1993

  This report provides experimental population estimates by race for Oregon and its counties for July 1, 1993. Estimates of the Hispanic population are also included; Hispanics are an ethnic group and may ...

  Citation × Citation Citation Abstract Copy Title: Experimental Race Estimates for Oregon: July 1, 1993 Author: Wineberg, Howard, Portland State University. Population Research Center Year: 1996 This report provides experimental population estimates by race for Oregon and its counties for July 1, 1993. Estimates of the Hispanic population are also included; Hispanics are an ethnic group and may be of any race. Title: Experimental Race Estimates for Oregon: July 1, 1993 Author: Wineberg, Howard, Portland State University. Population Research Center Year: 1996 This report provides experimental population estimates by race for Oregon and its counties for July 1, 1993. Estimates of the Hispanic population are also included; Hispanics are an ethnic group and may be of any race. Close

• 17. [Article] Population Estimates of Counties and Incorporated Cities of Oregon

  This report contains estimates for each of the thirty-six counties and the 239 incorporated cities of Oregon. The populations of 10 cities in the state were enumerated under the supervision of the Center ...

  Citation × Citation Citation Abstract Copy Title: Population Estimates of Counties and Incorporated Cities of Oregon Author: Portland State University. Population Research Center Year: 1963 This report contains estimates for each of the thirty-six counties and the 239 incorporated cities of Oregon. The populations of 10 cities in the state were enumerated under the supervision of the Center for Population Research and Census, between 1963-1974. Title: Population Estimates of Counties and Incorporated Cities of Oregon Author: Portland State University. Population Research Center Year: 1963 This report contains estimates for each of the thirty-six counties and the 239 incorporated cities of Oregon. The populations of 10 cities in the state were enumerated under the supervision of the Center for Population Research and Census, between 1963-1974. Close

• 18. [Article] 1999 Oregon Population Report

  This report presents population estimates for Oregon and its counties and incorporated cities for July 1, 1999. The ten tables in this report show current 1999 population estimates as well as historical ...

  Citation × Citation Citation Abstract Copy Title: 1999 Oregon Population Report Author: Cai, Qian, Portland State University. Population Research Center Year: 1999 This report presents population estimates for Oregon and its counties and incorporated cities for July 1, 1999. The ten tables in this report show current 1999 population estimates as well as historical data. Title: 1999 Oregon Population Report Author: Cai, Qian, Portland State University. Population Research Center Year: 1999 This report presents population estimates for Oregon and its counties and incorporated cities for July 1, 1999. The ten tables in this report show current 1999 population estimates as well as historical data. Close

• 19. [Article] Population Estimates of Counties and Incorporated Cities of Oregon

  Population enumerations and estimates for counties and incorporated cities of Oregon for 1962-1974. Through 1966 as: Certificate of population enumerations and estimates of counties and incorporated cities ...

  Citation × Citation Citation Abstract Copy Title: Population Estimates of Counties and Incorporated Cities of Oregon Author: Portland State University. Population Research Center Year: 1962 Population enumerations and estimates for counties and incorporated cities of Oregon for 1962-1974. Through 1966 as: Certificate of population enumerations and estimates of counties and incorporated cities of Oregon Title: Population Estimates of Counties and Incorporated Cities of Oregon Author: Portland State University. Population Research Center Year: 1962 Population enumerations and estimates for counties and incorporated cities of Oregon for 1962-1974. Through 1966 as: Certificate of population enumerations and estimates of counties and incorporated cities of Oregon Close

• 20. [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

• 21. [Article] Evaluating Community Analyst for Use in School Demography Studies

  This presentation is a case study based on the North Clackamas School District in the Portland metro area showing how CA might be used and which identifies benefits and issues.

  Citation × Citation Citation Abstract Copy Title: Evaluating Community Analyst for Use in School Demography Studies Author: Lycan, Richard, Rynerson, Charles Year: 2013 This presentation is a case study based on the North Clackamas School District in the Portland metro area showing how CA might be used and which identifies benefits and issues. Title: Evaluating Community Analyst for Use in School Demography Studies Author: Lycan, Richard, Rynerson, Charles Year: 2013 This presentation is a case study based on the North Clackamas School District in the Portland metro area showing how CA might be used and which identifies benefits and issues. Close

• 22. [Article] 2001 Oregon Population Report

  This report presents population estimates for Oregon and its counties and incorporated cities for July 1, 2001. The eleven tables in this report show current 2001 population estimates as well as historical ...

  Citation × Citation Citation Abstract Copy Title: 2001 Oregon Population Report Author: Portland State University. Population Research Center, Cai, Qian, Hough, George C., Jr. Year: 2002 This report presents population estimates for Oregon and its counties and incorporated cities for July 1, 2001. The eleven tables in this report show current 2001 population estimates as well as historical data. Title: 2001 Oregon Population Report Author: Portland State University. Population Research Center, Cai, Qian, Hough, George C., Jr. Year: 2002 This report presents population estimates for Oregon and its counties and incorporated cities for July 1, 2001. The eleven tables in this report show current 2001 population estimates as well as historical data. Close

• 23. [Article] Population Growth in Oregon: 2000 to 2002

  This report presents population estimates for Oregon and its counties and incorporated cities for July 1, 2002. The eleven tables in this report show current 2002 population estimates as well as historical ...

  Citation × Citation Citation Abstract Copy Title: Population Growth in Oregon: 2000 to 2002 Author: Portland State University. Population Research Center, Cai, Qian, Edmonston, Barry, Hough, George C., Jr. Year: 2003 This report presents population estimates for Oregon and its counties and incorporated cities for July 1, 2002. The eleven tables in this report show current 2002 population estimates as well as historical data. Supplements to the 2002 Population Report are included. Title: Population Growth in Oregon: 2000 to 2002 Author: Portland State University. Population Research Center, Cai, Qian, Edmonston, Barry, Hough, George C., Jr. Year: 2003 This report presents population estimates for Oregon and its counties and incorporated cities for July 1, 2002. The eleven tables in this report show current 2002 population estimates as well as historical data. Supplements to the 2002 Population Report are included. Close

• 24. [Article] 2005 Oregon Population Tables

  There is no report for 2005, this item only contains Oregon population tables. Supplements to the 2005 Population Report are included.

  Citation × Citation Citation Abstract Copy Title: 2005 Oregon Population Tables Author: Portland State University. Population Research Center Year: 2006 There is no report for 2005, this item only contains Oregon population tables. Supplements to the 2005 Population Report are included. Title: 2005 Oregon Population Tables Author: Portland State University. Population Research Center Year: 2006 There is no report for 2005, this item only contains Oregon population tables. Supplements to the 2005 Population Report are included. Close

• 25. [Article] 2004 Oregon Population Report

  This report presents population estimates for Oregon and its counties and incorporated cities for July 1, 2004. The eleven tables in this report show current 2004 population estimates as well as historical ...

  Citation × Citation Citation Abstract Copy Title: 2004 Oregon Population Report Author: Portland State University. Population Research Center, Cai, Qian, Edmonston, Barry, Hough, George C., Jr. Year: 2005 This report presents population estimates for Oregon and its counties and incorporated cities for July 1, 2004. The eleven tables in this report show current 2004 population estimates as well as historical data. Supplements to the 2004 Population Report are included. Title: 2004 Oregon Population Report Author: Portland State University. Population Research Center, Cai, Qian, Edmonston, Barry, Hough, George C., Jr. Year: 2005 This report presents population estimates for Oregon and its counties and incorporated cities for July 1, 2004. The eleven tables in this report show current 2004 population estimates as well as historical data. Supplements to the 2004 Population Report are included. Close

• 26. [Article] 2003 Oregon Population Report

  This report presents population estimates for Oregon and its counties and incorporated cities for July 1, 2003. The eleven tables in this report show current 2003 population estimates as well as historical ...

  Citation × Citation Citation Abstract Copy Title: 2003 Oregon Population Report Author: Portland State University. Population Research Center, Cai, Qian, Hough, George C., Jr. Year: 2004 This report presents population estimates for Oregon and its counties and incorporated cities for July 1, 2003. The eleven tables in this report show current 2003 population estimates as well as historical data. Supplements to the 2003 Population Report are included. Title: 2003 Oregon Population Report Author: Portland State University. Population Research Center, Cai, Qian, Hough, George C., Jr. Year: 2004 This report presents population estimates for Oregon and its counties and incorporated cities for July 1, 2003. The eleven tables in this report show current 2003 population estimates as well as historical data. Supplements to the 2003 Population Report are included. Close

• 27. [Article] 2008 Oregon Population Report

  This report contains the annual population estimates for Oregon, and its counties, incorporated cities, and unincorporated areas for July 1, 2008. Included are estimates that are summarized by unincorporated ...

  Citation × Citation Citation Abstract Copy Title: 2008 Oregon Population Report Author: Portland State University. Population Research Center, Proehl, Risa, Hough, George C., Jr., McGovern, Kathryn Year: 2009 This report contains the annual population estimates for Oregon, and its counties, incorporated cities, and unincorporated areas for July 1, 2008. Included are estimates that are summarized by unincorporated and incorporated areas at the State level, as well as metropolitan areas and non-metropolitan areas. Title: 2008 Oregon Population Report Author: Portland State University. Population Research Center, Proehl, Risa, Hough, George C., Jr., McGovern, Kathryn Year: 2009 This report contains the annual population estimates for Oregon, and its counties, incorporated cities, and unincorporated areas for July 1, 2008. Included are estimates that are summarized by unincorporated and incorporated areas at the State level, as well as metropolitan areas and non-metropolitan areas. Close

• 28. [Article] 2010 Oregon Revised Population Estimates

  This item contains Oregon population estimates, revised and newly certified to incorporate Census 2010, as of March 31, 2011. This file includes the Quarter 1 and Quarter 2 Annexations Supplement to the ...

  Citation × Citation Citation Abstract Copy Title: 2010 Oregon Revised Population Estimates Author: Portland State University. Population Research Center, Proehl, Risa Year: 2011 This item contains Oregon population estimates, revised and newly certified to incorporate Census 2010, as of March 31, 2011. This file includes the Quarter 1 and Quarter 2 Annexations Supplement to the revised 2010 Estimates. Title: 2010 Oregon Revised Population Estimates Author: Portland State University. Population Research Center, Proehl, Risa Year: 2011 This item contains Oregon population estimates, revised and newly certified to incorporate Census 2010, as of March 31, 2011. This file includes the Quarter 1 and Quarter 2 Annexations Supplement to the revised 2010 Estimates. Close

• 29. [Article] 2000-2010 Intercensal Estimates: Components of Population Change

  This item contains only Oregon population tables, comparing 2000 and 2010 census data.

  Citation × Citation Citation Abstract Copy Title: 2000-2010 Intercensal Estimates: Components of Population Change Author: Portland State University. Population Research Center Year: 2012 This item contains only Oregon population tables, comparing 2000 and 2010 census data. Title: 2000-2010 Intercensal Estimates: Components of Population Change Author: Portland State University. Population Research Center Year: 2012 This item contains only Oregon population tables, comparing 2000 and 2010 census data. Close

• 30. [Article] 2011 Annual Population Report Tables (March 28, 2012)

  There is no report for 2011; this item only contains Oregon population tables. Supplements to the 2011 Population Report are included. Please note: if a city has not completed and returned its annual housing ...

  Citation × Citation Citation Abstract Copy Title: 2011 Annual Population Report Tables (March 28, 2012) Author: Portland State University. Population Research Center Year: 2012 There is no report for 2011; this item only contains Oregon population tables. Supplements to the 2011 Population Report are included. Please note: if a city has not completed and returned its annual housing unit and population questionnaire, its population estimate is held constant from the previous year. Title: 2011 Annual Population Report Tables (March 28, 2012) Author: Portland State University. Population Research Center Year: 2012 There is no report for 2011; this item only contains Oregon population tables. Supplements to the 2011 Population Report are included. Please note: if a city has not completed and returned its annual housing unit and population questionnaire, its population estimate is held constant from the previous year. Close

• 31. [Article] 2010 Annual Population Report (April 22, 2011)

  This item contains Oregon population tables. The certified July 1, 2010 Population estimates were prepared by the Population Research Center prior to the release of the April 1, 2010 Census data. The 2010 ...

  Citation × Citation Citation Abstract Copy Title: 2010 Annual Population Report (April 22, 2011) Author: Portland State University. Population Research Center Year: 2011 This item contains Oregon population tables. The certified July 1, 2010 Population estimates were prepared by the Population Research Center prior to the release of the April 1, 2010 Census data. The 2010 Population Estimates in the included table are based on the Population Research Center data certified as of December 31, 2010. Title: 2010 Annual Population Report (April 22, 2011) Author: Portland State University. Population Research Center Year: 2011 This item contains Oregon population tables. The certified July 1, 2010 Population estimates were prepared by the Population Research Center prior to the release of the April 1, 2010 Census data. The 2010 Population Estimates in the included table are based on the Population Research Center data certified as of December 31, 2010. Close

• 32. [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

• 33. [Article] Certified 2013 Population Estimates for Oregon and Counties

  Certified Population Estimates for Oregon and Its Counties. This item also contains estimates for Incorporated Cities/Towns.

  Citation × Citation Citation Abstract Copy Title: Certified 2013 Population Estimates for Oregon and Counties Author: Portland State University. Population Research Center Year: 2013 Certified Population Estimates for Oregon and Its Counties. This item also contains estimates for Incorporated Cities/Towns. Title: Certified 2013 Population Estimates for Oregon and Counties Author: Portland State University. Population Research Center Year: 2013 Certified Population Estimates for Oregon and Its Counties. This item also contains estimates for Incorporated Cities/Towns. Close

• 34. [Article] Certified 2014 Population Estimates for Oregon and Counties

  Certified Population Estimates for Oregon and Its Counties. This item also contains estimates for Incorporated Cities/Towns.

  Citation × Citation Citation Abstract Copy Title: Certified 2014 Population Estimates for Oregon and Counties Author: Portland State University. Population Research Center Year: 2014 Certified Population Estimates for Oregon and Its Counties. This item also contains estimates for Incorporated Cities/Towns. Title: Certified 2014 Population Estimates for Oregon and Counties Author: Portland State University. Population Research Center Year: 2014 Certified Population Estimates for Oregon and Its Counties. This item also contains estimates for Incorporated Cities/Towns. Close

• 35. [Article] Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2014

  Estimates of population age groups for Oregon and its counties.

  Citation × Citation Citation Abstract Copy Title: Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2014 Author: Portland State University. Population Research Center, Proehl, Risa Year: 2015 Estimates of population age groups for Oregon and its counties. Title: Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2014 Author: Portland State University. Population Research Center, Proehl, Risa Year: 2015 Estimates of population age groups for Oregon and its counties. Close

• 36. [Article] Certified 2012 Population Estimates for Oregon and Its Counties

  Certified Population Estimates for Oregon and Its Counties. This item also contains estimates for Incorporated Cities/Towns.

  Citation × Citation Citation Abstract Copy Title: Certified 2012 Population Estimates for Oregon and Its Counties Author: Portland State University. Population Research Center Year: 2012 Certified Population Estimates for Oregon and Its Counties. This item also contains estimates for Incorporated Cities/Towns. Title: Certified 2012 Population Estimates for Oregon and Its Counties Author: Portland State University. Population Research Center Year: 2012 Certified Population Estimates for Oregon and Its Counties. This item also contains estimates for Incorporated Cities/Towns. Close

• 37. [Article] 2012 Annual Population Report Tables (April 19, 2013)

  This item contains Oregon population tables. Prepared by Population Research Center, Portland State University, January 2013.

  Citation × Citation Citation Abstract Copy Title: 2012 Annual Population Report Tables (April 19, 2013) Author: Portland State University. Population Research Center Year: 2013 This item contains Oregon population tables. Prepared by Population Research Center, Portland State University, January 2013. Title: 2012 Annual Population Report Tables (April 19, 2013) Author: Portland State University. Population Research Center Year: 2013 This item contains Oregon population tables. Prepared by Population Research Center, Portland State University, January 2013. Close

• 38. [Article] Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2011

  Estimates of population age groups for Oregon and its counties.

  Citation × Citation Citation Abstract Copy Title: Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2011 Author: Portland State University. Population Research Center, Proehl, Risa Year: 2012 Estimates of population age groups for Oregon and its counties. Title: Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2011 Author: Portland State University. Population Research Center, Proehl, Risa Year: 2012 Estimates of population age groups for Oregon and its counties. Close

• 39. [Article] Certified 2011 Population Estimates for Oregon and Counties

  Certified Population Estimates for Oregon and Its Counties. This item also contains estimates for Incorporated Cities/Towns.

  Citation × Citation Citation Abstract Copy Title: Certified 2011 Population Estimates for Oregon and Counties Author: Portland State University. Population Research Center Year: 2011 Certified Population Estimates for Oregon and Its Counties. This item also contains estimates for Incorporated Cities/Towns. Title: Certified 2011 Population Estimates for Oregon and Counties Author: Portland State University. Population Research Center Year: 2011 Certified Population Estimates for Oregon and Its Counties. This item also contains estimates for Incorporated Cities/Towns. Close

• 40. [Article] 2000-2009 County Intercensal Estimates

  This item only contains Oregon population tables, by county, comparing 2000 and 2009 census data.

  Citation × Citation Citation Abstract Copy Title: 2000-2009 County Intercensal Estimates Author: Portland State University. Population Research Center Year: 2011 This item only contains Oregon population tables, by county, comparing 2000 and 2009 census data. Title: 2000-2009 County Intercensal Estimates Author: Portland State University. Population Research Center Year: 2011 This item only contains Oregon population tables, by county, comparing 2000 and 2009 census data. Close

• 41. [Article] 2014 Annual Population Report Tables (April 22, 2015)

  This item contains Oregon population tables. Prepared by Population Research Center, Portland State University, April, 2015. Annexations and other revisions can be found in the attached supplemental fi...

  Citation × Citation Citation Abstract Copy Title: 2014 Annual Population Report Tables (April 22, 2015) Author: Portland State University. Population Research Center Year: 2015 This item contains Oregon population tables. Prepared by Population Research Center, Portland State University, April, 2015. Annexations and other revisions can be found in the attached supplemental files. Title: 2014 Annual Population Report Tables (April 22, 2015) Author: Portland State University. Population Research Center Year: 2015 This item contains Oregon population tables. Prepared by Population Research Center, Portland State University, April, 2015. Annexations and other revisions can be found in the attached supplemental files. Close

• 42. [Article] 2000-2009 Intercensal Population Estimates by Age Group for Oregon and Counties

  This item only contains Oregon population tables, by age group, comparing 2000 and 2009 census data.

  Citation × Citation Citation Abstract Copy Title: 2000-2009 Intercensal Population Estimates by Age Group for Oregon and Counties Author: Portland State University. Population Research Center Year: 2010 This item only contains Oregon population tables, by age group, comparing 2000 and 2009 census data. Title: 2000-2009 Intercensal Population Estimates by Age Group for Oregon and Counties Author: Portland State University. Population Research Center Year: 2010 This item only contains Oregon population tables, by age group, comparing 2000 and 2009 census data. Close

• 43. [Article] Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2010

  Estimates of population age groups for Oregon and its counties.

  Citation × Citation Citation Abstract Copy Title: Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2010 Author: Portland State University. Population Research Center, Proehl, Risa Year: 2010 Estimates of population age groups for Oregon and its counties. Title: Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2010 Author: Portland State University. Population Research Center, Proehl, Risa Year: 2010 Estimates of population age groups for Oregon and its counties. Close

• 44. [Article] Estimates for Population Ages 4-20 Years for Oregon and Its Counties

  Estimates for population ages 4-20 years for Oregon and its counties.

  Citation × Citation Citation Abstract Copy Title: Estimates for Population Ages 4-20 Years for Oregon and Its Counties Author: Portland State University. Population Research Center, Proehl, Risa Year: 2010 Estimates for population ages 4-20 years for Oregon and its counties. Title: Estimates for Population Ages 4-20 Years for Oregon and Its Counties Author: Portland State University. Population Research Center, Proehl, Risa Year: 2010 Estimates for population ages 4-20 years for Oregon and its counties. Close

• 45. [Article] Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2012

  Estimates of population age groups for Oregon and its counties.

  Citation × Citation Citation Abstract Copy Title: Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2012 Author: Portland State University. Population Research Center, Proehl, Risa Year: 2013 Estimates of population age groups for Oregon and its counties. Title: Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2012 Author: Portland State University. Population Research Center, Proehl, Risa Year: 2013 Estimates of population age groups for Oregon and its counties. Close

• 46. [Article] 2015 Annual Population Report Tables (April 15, 2016)

  This item contains Oregon population tables. Prepared by Population Research Center, Portland State University, April, 2016. Annexations and other revisions can be found in the attached supplemental fi...

  Citation × Citation Citation Abstract Copy Title: 2015 Annual Population Report Tables (April 15, 2016) Author: Portland State University. Population Research Center Year: 2016 This item contains Oregon population tables. Prepared by Population Research Center, Portland State University, April, 2016. Annexations and other revisions can be found in the attached supplemental files. Title: 2015 Annual Population Report Tables (April 15, 2016) Author: Portland State University. Population Research Center Year: 2016 This item contains Oregon population tables. Prepared by Population Research Center, Portland State University, April, 2016. Annexations and other revisions can be found in the attached supplemental files. Close

• 47. [Article] Certified Population Estimates 2015

  Certified Population Estimates for Oregon and Its Counties. This item also contains estimates for Incorporated Cities/Towns.

  Citation × Citation Citation Abstract Copy Title: Certified Population Estimates 2015 Author: Portland State University. Population Research Center Year: 2015 Certified Population Estimates for Oregon and Its Counties. This item also contains estimates for Incorporated Cities/Towns. Title: Certified Population Estimates 2015 Author: Portland State University. Population Research Center Year: 2015 Certified Population Estimates for Oregon and Its Counties. This item also contains estimates for Incorporated Cities/Towns. Close

• 48. [Article] Summary of 2015 Estimates Findings, Based on Preliminary Estimates

  Summary of the 2015 estimates findings.

  Citation × Citation Citation Abstract Copy Title: Summary of 2015 Estimates Findings, Based on Preliminary Estimates Author: Portland State University. Population Research Center Year: 2015 Summary of the 2015 estimates findings. Title: Summary of 2015 Estimates Findings, Based on Preliminary Estimates Author: Portland State University. Population Research Center Year: 2015 Summary of the 2015 estimates findings. Close

• 49. [Article] Findings from the Preliminary 2016 Population Estimates

  A narrative summary of the most important data from the preliminary estimates.

  Citation × Citation Citation Abstract Copy Title: Findings from the Preliminary 2016 Population Estimates Author: Proehl, Risa, Portland State University. Population Research Center Year: 2016 A narrative summary of the most important data from the preliminary estimates. Title: Findings from the Preliminary 2016 Population Estimates Author: Proehl, Risa, Portland State University. Population Research Center Year: 2016 A narrative summary of the most important data from the preliminary estimates. Close

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

  Wasco 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). The Dalles UGB and the area outside UGBs posted ...

  Citation × Citation Citation Abstract Copy Title: Coordinated Population Forecast for Wasco 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 Wasco 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). The Dalles UGB and the area outside UGBs posted the highest average annual growth rates, both at about 0.6 percent during the 2000 to 2010 period. Wasco County’s positive population growth in the 2000s was the result of a substantial net in-migration and periods of small natural increases and decreases (Figure 12). While net in-migration fluctuated dramatically during the early years of the last decade, the number of in-migrants has been more stable during second half of the decade and the recent years, contributing to a population increase. Total population in Wasco County as a whole as well as within some of 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 well as a decline in net in-migration toward the end of the forecast. Even so, Wasco County’s total population is forecast to increase by nearly 4,400 over the next 19 years (2016-2035) and by more than 10,500 over the entire 50-year forecast period (2016-2066). The Dalles, Mosier, and the area outside UGBs are expected to grow the most of all of Wasco County’s sub-areas. Title: Coordinated Population Forecast for Wasco 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 Wasco 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). The Dalles UGB and the area outside UGBs posted the highest average annual growth rates, both at about 0.6 percent during the 2000 to 2010 period. Wasco County’s positive population growth in the 2000s was the result of a substantial net in-migration and periods of small natural increases and decreases (Figure 12). While net in-migration fluctuated dramatically during the early years of the last decade, the number of in-migrants has been more stable during second half of the decade and the recent years, contributing to a population increase. Total population in Wasco County as a whole as well as within some of 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 well as a decline in net in-migration toward the end of the forecast. Even so, Wasco County’s total population is forecast to increase by nearly 4,400 over the next 19 years (2016-2035) and by more than 10,500 over the entire 50-year forecast period (2016-2066). The Dalles, Mosier, and the area outside UGBs are expected to grow the most of all of Wasco County’s sub-areas. Close

• 51. [Article] Population Estimates, Oregon Counties and Incorporated Cities

  This report contains the estimates for each of the thirty-six counties and the 240 incorporated cities of Oregon from 1975-1986. The estimates are based on data such as births, deaths, school enrollment, ...

  Citation × Citation Citation Abstract Copy Title: Population Estimates, Oregon Counties and Incorporated Cities Author: Portland State University. Center for Population Research and Census Year: 1975 This report contains the estimates for each of the thirty-six counties and the 240 incorporated cities of Oregon from 1975-1986. The estimates are based on data such as births, deaths, school enrollment, housing, number of privately owned passenger vehicles, income tax returns, voter registration, and other data which are sensitive to population movement. The methods used to develop the estimates have been tested over a period of years by this agency, agencies in other states, and by the United States Bureau of the Census. These methods produce the most reliable population estimates that can be made. Title: Population Estimates, Oregon Counties and Incorporated Cities Author: Portland State University. Center for Population Research and Census Year: 1975 This report contains the estimates for each of the thirty-six counties and the 240 incorporated cities of Oregon from 1975-1986. The estimates are based on data such as births, deaths, school enrollment, housing, number of privately owned passenger vehicles, income tax returns, voter registration, and other data which are sensitive to population movement. The methods used to develop the estimates have been tested over a period of years by this agency, agencies in other states, and by the United States Bureau of the Census. These methods produce the most reliable population estimates that can be made. Close

• 52. [Article] Periodic Atlas of the Metroscape: Seeing the Past in the Present - A Snapshot of the Relationship between Urban Growth and Transportation

  With this edition of the periodic atlas, we explore the waves of growth and changes in urban form that have occurred over the last century in Metro's tri-county region using historic maps and the year-built ...

  Citation × Citation Citation Abstract Copy Title: Periodic Atlas of the Metroscape: Seeing the Past in the Present - A Snapshot of the Relationship between Urban Growth and Transportation Author: Merrick, Meg Year: 2011 With this edition of the periodic atlas, we explore the waves of growth and changes in urban form that have occurred over the last century in Metro's tri-county region using historic maps and the year-built information provided by Metro's Regional Land Information System (RLIS) for tax lots. Title: Periodic Atlas of the Metroscape: Seeing the Past in the Present - A Snapshot of the Relationship between Urban Growth and Transportation Author: Merrick, Meg Year: 2011 With this edition of the periodic atlas, we explore the waves of growth and changes in urban form that have occurred over the last century in Metro's tri-county region using historic maps and the year-built information provided by Metro's Regional Land Information System (RLIS) for tax lots. Close

• 53. [Article] 2000 Oregon Population Report

  This report presents the population estimates for Oregon and its counties and incorporated cities for July 1, 2000, based on the April 1, 2000 census information. The ten tables in this report show current ...

  Citation × Citation Citation Abstract Copy Title: 2000 Oregon Population Report Author: Portland State University. Population Research Center, Cai, Qian, Edmonston, Barry, Hough, George C., Jr. Year: 2001 This report presents the population estimates for Oregon and its counties and incorporated cities for July 1, 2000, based on the April 1, 2000 census information. The ten tables in this report show current 2000 population estimates as well as historical data. Supplements to the 2000 Population Report are included. Title: 2000 Oregon Population Report Author: Portland State University. Population Research Center, Cai, Qian, Edmonston, Barry, Hough, George C., Jr. Year: 2001 This report presents the population estimates for Oregon and its counties and incorporated cities for July 1, 2000, based on the April 1, 2000 census information. The ten tables in this report show current 2000 population estimates as well as historical data. Supplements to the 2000 Population Report are included. Close

• 54. [Article] 2006 Oregon Population Report

  This report contains the annual population estimates for Oregon, and its counties, incorporated cities, and unincorporated areas for July 1, 2006. Included are estimates that are summarized by unincorporated ...

  Citation × Citation Citation Abstract Copy Title: 2006 Oregon Population Report Author: Portland State University. Population Research Center, Proehl, Risa, Hough, George C., Jr. Year: 2007 This report contains the annual population estimates for Oregon, and its counties, incorporated cities, and unincorporated areas for July 1, 2006. Included are estimates that are summarized by unincorporated and incorporated areas at the State level, as well as metropolitan areas and non-metropolitan areas. Supplements to the 2006 Population Report are included. Title: 2006 Oregon Population Report Author: Portland State University. Population Research Center, Proehl, Risa, Hough, George C., Jr. Year: 2007 This report contains the annual population estimates for Oregon, and its counties, incorporated cities, and unincorporated areas for July 1, 2006. Included are estimates that are summarized by unincorporated and incorporated areas at the State level, as well as metropolitan areas and non-metropolitan areas. Supplements to the 2006 Population Report are included. Close

• 55. [Article] 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 ...

  Citation × Citation Citation Abstract Copy Title: 2007 Oregon Population Report Author: Portland State University. Population Research Center, Proehl, Risa, Hough, George C., Jr. Year: 2008 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. Title: 2007 Oregon Population Report Author: Portland State University. Population Research Center, Proehl, Risa, Hough, George C., Jr. Year: 2008 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. Close

• 56. [Article] 2009 Oregon Population Report

  This report contains the annual population estimates for Oregon, and its counties, incorporated cities, and unincorporated areas for July 1, 2009. Included in ten tables are the estimates summarized by ...

  Citation × Citation Citation Abstract Copy Title: 2009 Oregon Population Report Author: Portland State University. Population Research Center, Proehl, Risa, Crain, Julia Year: 2010 This report contains the annual population estimates for Oregon, and its counties, incorporated cities, and unincorporated areas for July 1, 2009. Included in ten tables are the estimates summarized by unincorporated and incorporated areas at the state level, as well as metropolitan areas and non-metropolitan areas. Some tables include historical estimates and Census populations. Title: 2009 Oregon Population Report Author: Portland State University. Population Research Center, Proehl, Risa, Crain, Julia Year: 2010 This report contains the annual population estimates for Oregon, and its counties, incorporated cities, and unincorporated areas for July 1, 2009. Included in ten tables are the estimates summarized by unincorporated and incorporated areas at the state level, as well as metropolitan areas and non-metropolitan areas. Some tables include historical estimates and Census populations. Close

• 57. [Article] Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2013

  The dataset also includes: Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2012 (prepared January 2013) Estimates of Population ...

  Citation × Citation Citation Abstract Copy Title: Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2013 Author: Portland State University. Population Research Center, Proehl, Risa Year: 2014 The dataset also includes: Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2012 (prepared January 2013) Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2011 (prepared January 2011) Title: Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2013 Author: Portland State University. Population Research Center, Proehl, Risa Year: 2014 The dataset also includes: Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2012 (prepared January 2013) Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2011 (prepared January 2011) Close

• 58. [Article] Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2015

  Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2015. Prepared by Population Research Center, Portland State University, January ...

  Citation × Citation Citation Abstract Copy Title: Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2015 Author: Proehl, Risa, Portland State University. Population Research Center Year: 2016 Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2015. Prepared by Population Research Center, Portland State University, January 2016. Title: Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2015 Author: Proehl, Risa, Portland State University. Population Research Center Year: 2016 Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2015. Prepared by Population Research Center, Portland State University, January 2016. Close

• 59. [Article] St. Helens School District Enrollment Forecasts 2016-17 to 2025-26

  This report presents district-wide enrollment forecasts by grade level for the St. Helens School District (SHSD) for the 10 year period between 2016-17 and 2025-26

  Citation × Citation Citation Abstract Copy Title: St. Helens School District Enrollment Forecasts 2016-17 to 2025-26 Author: Portland State University. Population Research Center, Rynerson, Charles, Stewart, Scott, Chun, Nicholas Year: 2016 This report presents district-wide enrollment forecasts by grade level for the St. Helens School District (SHSD) for the 10 year period between 2016-17 and 2025-26 Title: St. Helens School District Enrollment Forecasts 2016-17 to 2025-26 Author: Portland State University. Population Research Center, Rynerson, Charles, Stewart, Scott, Chun, Nicholas Year: 2016 This report presents district-wide enrollment forecasts by grade level for the St. Helens School District (SHSD) for the 10 year period between 2016-17 and 2025-26 Close

• 60. [Article] Oregon City School District Enrollment Forecasts 2014-15 to 2023-24

  This report presents a range of three scenarios of district‐wide enrollment forecasts by grade level for the Oregon City School District (OCSD) for the 10 year period between 2014‐15 and 2023‐24. Each ...

  Citation × Citation Citation Abstract Copy Title: Oregon City School District Enrollment Forecasts 2014-15 to 2023-24 Author: Portland State University. Population Research Center, Rynerson, Charles, Rancik, Kevin Christopher, Martin, Sheila Year: 2014 This report presents a range of three scenarios of district‐wide enrollment forecasts by grade level for the Oregon City School District (OCSD) for the 10 year period between 2014‐15 and 2023‐24. Each enrollment forecast scenario is related to population forecasts that incorporate different assumptions about growth within the District, with the primary differences being the contribution of net migration to the District’s population and age distribution. Individual school forecasts consistent with the middle range scenario are also presented for the 10 year period. Title: Oregon City School District Enrollment Forecasts 2014-15 to 2023-24 Author: Portland State University. Population Research Center, Rynerson, Charles, Rancik, Kevin Christopher, Martin, Sheila Year: 2014 This report presents a range of three scenarios of district‐wide enrollment forecasts by grade level for the Oregon City School District (OCSD) for the 10 year period between 2014‐15 and 2023‐24. Each enrollment forecast scenario is related to population forecasts that incorporate different assumptions about growth within the District, with the primary differences being the contribution of net migration to the District’s population and age distribution. Individual school forecasts consistent with the middle range scenario are also presented for the 10 year period. Close

• 61. [Article] Do All Trails Lead to Oregon? An Analysis of the Characteristics of People Moving to and from Oregon 1985 - 1990

  Using 1990 U.S. Census data, this report has documented the characteristics of people moving to and from Oregon between 1985 and 1990. Substantial migration occurred during this time with about 404,000 ...

  Citation × Citation Citation Abstract Copy Title: Do All Trails Lead to Oregon? An Analysis of the Characteristics of People Moving to and from Oregon 1985 - 1990 Author: Wineberg, Howard Year: 1995 Using 1990 U.S. Census data, this report has documented the characteristics of people moving to and from Oregon between 1985 and 1990. Substantial migration occurred during this time with about 404,000 people moving to Oregon and about 281,000 people leaving Oregon. Approximately one half of the people moving to Oregon came from California and Washington and about 60% of the people leaving Oregon moved to these two states. Differentials were found in the characteristics of in- and out-migrants. In particular, in-migrants were more likely to be below poverty, 65 years of age and older, and have difficulty speaking English than out-migrants. A greater proportion of out-migrants had a bachelor's degree and income levels were higher for out-migrants than in-migrants. The implications of these findings are discussed. Title: Do All Trails Lead to Oregon? An Analysis of the Characteristics of People Moving to and from Oregon 1985 - 1990 Author: Wineberg, Howard Year: 1995 Using 1990 U.S. Census data, this report has documented the characteristics of people moving to and from Oregon between 1985 and 1990. Substantial migration occurred during this time with about 404,000 people moving to Oregon and about 281,000 people leaving Oregon. Approximately one half of the people moving to Oregon came from California and Washington and about 60% of the people leaving Oregon moved to these two states. Differentials were found in the characteristics of in- and out-migrants. In particular, in-migrants were more likely to be below poverty, 65 years of age and older, and have difficulty speaking English than out-migrants. A greater proportion of out-migrants had a bachelor's degree and income levels were higher for out-migrants than in-migrants. The implications of these findings are discussed. Close

• 62. [Article] Oregon City School District Enrollment Forecasts 2016-17 to 2025-26

  This report presents a range of three scenarios of district‐wide enrollment forecasts by grade level for the Oregon City School District (OCSD) for the 10 year period between 2016‐17 and 2025‐26. Each ...

  Citation × Citation Citation Abstract Copy Title: Oregon City School District Enrollment Forecasts 2016-17 to 2025-26 Author: Portland State University. Population Research Center, Rynerson, Charles, Stewart, Scott Year: 2015 This report presents a range of three scenarios of district‐wide enrollment forecasts by grade level for the Oregon City School District (OCSD) for the 10 year period between 2016‐17 and 2025‐26. Each enrollment forecast scenario is related to population forecasts that incorporate different assumptions about growth within the District, with the primary differences being the contribution of net migration to the District’s population and age distribution. Individual school forecasts consistent with the middle range scenario are also presented for the 10 year period. Title: Oregon City School District Enrollment Forecasts 2016-17 to 2025-26 Author: Portland State University. Population Research Center, Rynerson, Charles, Stewart, Scott Year: 2015 This report presents a range of three scenarios of district‐wide enrollment forecasts by grade level for the Oregon City School District (OCSD) for the 10 year period between 2016‐17 and 2025‐26. Each enrollment forecast scenario is related to population forecasts that incorporate different assumptions about growth within the District, with the primary differences being the contribution of net migration to the District’s population and age distribution. Individual school forecasts consistent with the middle range scenario are also presented for the 10 year period. Close

• 63. [Article] Periodic Atlas of the Metroscape: Deciphering Who We Are - Trials and Tribulations of the American Community Survey

  This edition of the periodic atlas uses recent American Community Survey (ACS) data to examine the percent of persons living in poverty in the metroscape. This variable, along with the percent foreign ...

  Citation × Citation Citation Abstract Copy Title: Periodic Atlas of the Metroscape: Deciphering Who We Are - Trials and Tribulations of the American Community Survey Author: Merrick, Meg Year: 2011 This edition of the periodic atlas uses recent American Community Survey (ACS) data to examine the percent of persons living in poverty in the metroscape. This variable, along with the percent foreign born, those with a bachelor's degree or higher, and average commuting time are available for viewing in Google Earth at our website. Perhaps more important than the snapshot we can attempt to capture of poverty in our community, is the caution we can offer to policymakers who may depend on ACS data to address perceived problems. This atlas therefore serves twin purposes: giving our readers the best analysis available about an important social issue, while also providing a caveat about the verity of the information that analysts might rely on to make recommendations. The margins of error that result from the relatively small sample size in ACS data suggest that these data must be used with care. Title: Periodic Atlas of the Metroscape: Deciphering Who We Are - Trials and Tribulations of the American Community Survey Author: Merrick, Meg Year: 2011 This edition of the periodic atlas uses recent American Community Survey (ACS) data to examine the percent of persons living in poverty in the metroscape. This variable, along with the percent foreign born, those with a bachelor's degree or higher, and average commuting time are available for viewing in Google Earth at our website. Perhaps more important than the snapshot we can attempt to capture of poverty in our community, is the caution we can offer to policymakers who may depend on ACS data to address perceived problems. This atlas therefore serves twin purposes: giving our readers the best analysis available about an important social issue, while also providing a caveat about the verity of the information that analysts might rely on to make recommendations. The margins of error that result from the relatively small sample size in ACS data suggest that these data must be used with care. Close

• 64. [Article] Do All Trails Lead to Oregon? An Analysis of the Characteristics of People Moving to and from Oregon

  Using 1990 U.S. Census data, this report has documented the characteristics of people moving to and from Oregon between 1985 and 1990. Substantial migration occurred during this time with about 404,000 ...

  Citation × Citation Citation Abstract Copy Title: Do All Trails Lead to Oregon? An Analysis of the Characteristics of People Moving to and from Oregon Author: Wineberg, Howard, Portland State University. Population Research Center Year: 1995 Using 1990 U.S. Census data, this report has documented the characteristics of people moving to and from Oregon between 1985 and 1990. Substantial migration occurred during this time with about 404,000 people moving to Oregon and about 281,000 people leaving Oregon. Approximately one half of the people moving to Oregon came from California and Washington and about 60% of the people leaving Oregon moved to these two states. Differentials were found in the characteristics of in- and out-migrants. In particular, in-migrants were more likely to be below poverty, 65 years of age and older, and have difficulty speaking English than out-migrants. A greater proportion of out-migrants had a bachelor's degree and income levels were higher for out-migrants than in-migrants. The implications of these findings are discussed. Title: Do All Trails Lead to Oregon? An Analysis of the Characteristics of People Moving to and from Oregon Author: Wineberg, Howard, Portland State University. Population Research Center Year: 1995 Using 1990 U.S. Census data, this report has documented the characteristics of people moving to and from Oregon between 1985 and 1990. Substantial migration occurred during this time with about 404,000 people moving to Oregon and about 281,000 people leaving Oregon. Approximately one half of the people moving to Oregon came from California and Washington and about 60% of the people leaving Oregon moved to these two states. Differentials were found in the characteristics of in- and out-migrants. In particular, in-migrants were more likely to be below poverty, 65 years of age and older, and have difficulty speaking English than out-migrants. A greater proportion of out-migrants had a bachelor's degree and income levels were higher for out-migrants than in-migrants. The implications of these findings are discussed. Close

• 65. [Article] Oregon City School District Enrollment Forecasts 2013-14 to 2022-23

  This report presents a range of three scenarios of district‐wide enrollment forecasts by grade level for the Oregon City School District (OCSD) for the 10 year period between 2013‐14 and 2022‐23. Each ...

  Citation × Citation Citation Abstract Copy Title: Oregon City School District Enrollment Forecasts 2013-14 to 2022-23 Author: Portland State University. Population Research Center, Rynerson, Charles, Siu, Vivian, Dann, Ryan Year: 2013 This report presents a range of three scenarios of district‐wide enrollment forecasts by grade level for the Oregon City School District (OCSD) for the 10 year period between 2013‐14 and 2022‐23. Each enrollment forecast scenario is related to population forecasts that incorporate different assumptions about growth within the District, with the primary differences being the contribution of net migration to the District’s population and age distribution. Individual school forecasts consistent with the middle range forecast scenario are also presented for the 10 year period. Title: Oregon City School District Enrollment Forecasts 2013-14 to 2022-23 Author: Portland State University. Population Research Center, Rynerson, Charles, Siu, Vivian, Dann, Ryan Year: 2013 This report presents a range of three scenarios of district‐wide enrollment forecasts by grade level for the Oregon City School District (OCSD) for the 10 year period between 2013‐14 and 2022‐23. Each enrollment forecast scenario is related to population forecasts that incorporate different assumptions about growth within the District, with the primary differences being the contribution of net migration to the District’s population and age distribution. Individual school forecasts consistent with the middle range forecast scenario are also presented for the 10 year period. Close

• 66. [Article] 2013 Annual Population Report Tables (April 15, 2014)

  This item contains Oregon population tables. Prepared by Population Research Center, Portland State University, April 15, 2014. The tables in the tabs in this workbook hold the 2013 population estimates ...

  Citation × Citation Citation Abstract Copy Title: 2013 Annual Population Report Tables (April 15, 2014) Author: Portland State University. Population Research Center Year: 2014 This item contains Oregon population tables. Prepared by Population Research Center, Portland State University, April 15, 2014. The tables in the tabs in this workbook hold the 2013 population estimates produced by the Population Research Center, Portland State University. The July 1 estimates of total population for counties and cities and towns were certified December 15, 2013. Note that the July 1, 2013 population estimate for Lincoln City was revised and certified to be retroactive to December 31, 2013. Some tables include the U.S. Census Bureau's decennial Census counts and historical population estimates produced by our Center, and other tables include calculations of change since Census 2010. There are footnotes that accompany Tables 1 through 7. Title: 2013 Annual Population Report Tables (April 15, 2014) Author: Portland State University. Population Research Center Year: 2014 This item contains Oregon population tables. Prepared by Population Research Center, Portland State University, April 15, 2014. The tables in the tabs in this workbook hold the 2013 population estimates produced by the Population Research Center, Portland State University. The July 1 estimates of total population for counties and cities and towns were certified December 15, 2013. Note that the July 1, 2013 population estimate for Lincoln City was revised and certified to be retroactive to December 31, 2013. Some tables include the U.S. Census Bureau's decennial Census counts and historical population estimates produced by our Center, and other tables include calculations of change since Census 2010. There are footnotes that accompany Tables 1 through 7. Close

• 67. [Article] Oregon City School District Enrollment Forecasts 2017-18 to 2026-27

  This report presents a range of three scenarios of district‐wide enrollment forecasts by grade level for the Oregon City School District (OCSD) for the 10 year period between 2017‐18 and 2026‐27. Each ...

  Citation × Citation Citation Abstract Copy Title: Oregon City School District Enrollment Forecasts 2017-18 to 2026-27 Author: Portland State University. Population Research Center, Rynerson, Charles, Stewart, Scott, Yang, Xi Year: 2017 This report presents a range of three scenarios of district‐wide enrollment forecasts by grade level for the Oregon City School District (OCSD) for the 10 year period between 2017‐18 and 2026‐27. Each enrollment forecast scenario is related to population forecasts that incorporate different assumptions about growth within the District, with the primary differences being the contribution of net migration to the District’s population and age distribution. Individual school forecasts consistent with the middle range scenario are also presented for the 10 year period. Title: Oregon City School District Enrollment Forecasts 2017-18 to 2026-27 Author: Portland State University. Population Research Center, Rynerson, Charles, Stewart, Scott, Yang, Xi Year: 2017 This report presents a range of three scenarios of district‐wide enrollment forecasts by grade level for the Oregon City School District (OCSD) for the 10 year period between 2017‐18 and 2026‐27. Each enrollment forecast scenario is related to population forecasts that incorporate different assumptions about growth within the District, with the primary differences being the contribution of net migration to the District’s population and age distribution. Individual school forecasts consistent with the middle range scenario are also presented for the 10 year period. Close

• 68. [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

• 69. [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

• 70. [Article] Coordinated Population Forecast for Crook 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 Prineville UGB and the area outside the UGB collectively influence population growth rates for the county ...

  Citation × Citation Citation Abstract Copy Title: Coordinated Population Forecast for Crook 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 Prineville UGB and the area outside the UGB collectively influence population growth rates for the county as a whole. Crook 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); however the area outside the Prineville UGB experienced more rapid population growth during the 2000s. Prineville, the only UGB, posted an average annual growth rate of 0.6 percent, while the area outside the UGB grew at an average annual rate of 1.2 percent during the 2000 to 2010 period. Crook County experienced substantial swings in net migration throughout the last decade (2000 to 2010), as a result the countywide population growth rate also fluctuated. At the same time 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 a decline in the number of births. The growing number of deaths and shrinking number of births led to natural decrease—more deaths than births—beginning in 2011. While net inmigration and natural increase contributed to substantial population growth from 2005 to 2008, both of these numbers shrank during more recent years—leading to population decline between 2009 and 2012. Total population in Crook 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 expected aging population—a demographic trend which will lead to declining natural increase (births minus deaths). As natural increase declines, population growth will become increasingly reliant on net in-migration. Even so, Crook County’s total population is expected to increase by more than 2,700 over the next 20 years (2015-2035) and by more than 4,500 over the entire 50-year forecast period (2015-2065). The Prineville UGB is forecast to show slightly stronger population growth—relative to the 2000s— in the initial 20-year forecast period, but is expected to slow down substantially during the last 30 years. The area outside the UGB will likely grow at a steadier rate than Prineville throughout the forecast period. Title: Coordinated Population Forecast for Crook 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 Prineville UGB and the area outside the UGB collectively influence population growth rates for the county as a whole. Crook 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); however the area outside the Prineville UGB experienced more rapid population growth during the 2000s. Prineville, the only UGB, posted an average annual growth rate of 0.6 percent, while the area outside the UGB grew at an average annual rate of 1.2 percent during the 2000 to 2010 period. Crook County experienced substantial swings in net migration throughout the last decade (2000 to 2010), as a result the countywide population growth rate also fluctuated. At the same time 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 a decline in the number of births. The growing number of deaths and shrinking number of births led to natural decrease—more deaths than births—beginning in 2011. While net inmigration and natural increase contributed to substantial population growth from 2005 to 2008, both of these numbers shrank during more recent years—leading to population decline between 2009 and 2012. Total population in Crook 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 expected aging population—a demographic trend which will lead to declining natural increase (births minus deaths). As natural increase declines, population growth will become increasingly reliant on net in-migration. Even so, Crook County’s total population is expected to increase by more than 2,700 over the next 20 years (2015-2035) and by more than 4,500 over the entire 50-year forecast period (2015-2065). The Prineville UGB is forecast to show slightly stronger population growth—relative to the 2000s— in the initial 20-year forecast period, but is expected to slow down substantially during the last 30 years. The area outside the UGB will likely grow at a steadier rate than Prineville throughout the forecast period. Close

• 71. [Article] Coordinated Population Forecast for Curry 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. Curry ...

  Citation × Citation Citation Abstract Copy Title: Coordinated Population Forecast for Curry 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. Curry County’s total population 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. Gold Beach posted the highest average annual growth rate at one percent during the 2000 to 2010 period. Curry 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 2012. Total population in Curry County as a whole will likely grow at a 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 exacerbate natural decrease (more deaths than births). As natural decrease occurs, population growth will become increasingly reliant on net in-migration. For the area outside UGBs this will likely lead to population decline during the last 30 years of the forecast period. The remaining sub-areas are expected to see population increase over this same time period. Even so, Curry County’s total population is forecast to increase by nearly 3,900 over the next 20 years (2015-2035) and by more than 4,700 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 Curry 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. Curry County’s total population 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. Gold Beach posted the highest average annual growth rate at one percent during the 2000 to 2010 period. Curry 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 2012. Total population in Curry County as a whole will likely grow at a 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 exacerbate natural decrease (more deaths than births). As natural decrease occurs, population growth will become increasingly reliant on net in-migration. For the area outside UGBs this will likely lead to population decline during the last 30 years of the forecast period. The remaining sub-areas are expected to see population increase over this same time period. Even so, Curry County’s total population is forecast to increase by nearly 3,900 over the next 20 years (2015-2035) and by more than 4,700 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

• 72. [Article] 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 ...

  Citation × Citation Citation Abstract Copy Title: Coordinated Population Forecast for Deschutes 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. 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. Title: Coordinated Population Forecast for Deschutes 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. 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. Close

• 73. [Article] Coordinated Population Forecast for Douglas 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. Douglas ...

  Citation × Citation Citation Abstract Copy Title: Coordinated Population Forecast for Douglas 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. Douglas 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); however, some of its sub-areas experienced more rapid population growth during the 2000s. Sutherlin, the second most populous UGB, and Canyonville posted the highest average annual growth rates at 1.7 and 3.0 percent, respectively, during the 2000 to 2010 period. Douglas County’s positive population growth in the 2000s was the direct 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 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 net in-migration outweighed declining natural increase during the early and middle years of the last decade, the gap between these two numbers shrank during the later years—bringing population growth nearly to a halt by 2010. In more recent years (2010 to 2014) net in-migration has increased, bringing with it population growth Total population in Douglas County as a whole as well as within its sub-areas will likely grow at a slightly faster pace in the near-term (2015 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 natural decrease (more deaths than births). As natural decrease occurs, population growth will become increasingly reliant on net in-migration Even so, Douglas County’s total population is forecast to increase by more than 20,000 over the next 20 years (2015-2035) and by more than 43,000 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 Douglas 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. Douglas 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); however, some of its sub-areas experienced more rapid population growth during the 2000s. Sutherlin, the second most populous UGB, and Canyonville posted the highest average annual growth rates at 1.7 and 3.0 percent, respectively, during the 2000 to 2010 period. Douglas County’s positive population growth in the 2000s was the direct 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 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 net in-migration outweighed declining natural increase during the early and middle years of the last decade, the gap between these two numbers shrank during the later years—bringing population growth nearly to a halt by 2010. In more recent years (2010 to 2014) net in-migration has increased, bringing with it population growth Total population in Douglas County as a whole as well as within its sub-areas will likely grow at a slightly faster pace in the near-term (2015 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 natural decrease (more deaths than births). As natural decrease occurs, population growth will become increasingly reliant on net in-migration Even so, Douglas County’s total population is forecast to increase by more than 20,000 over the next 20 years (2015-2035) and by more than 43,000 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

• 74. [Article] Coordinated Population Forecast for Jackson 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. Jackson ...

  Citation × Citation Citation Abstract Copy Title: Coordinated Population Forecast for Jackson 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. Jackson County’s total population has grown steadily since 2000, with an average annual growth rate of above one percent between 2000 and 2010 (Figure 1); however some of its sub-areas experienced more rapid population growth during the 2000s. Eagle Point and Central Point UGBs posted the highest average annual growth rates at 5.6 and 2.9 percent, respectively, during the 2000 to 2010 period. Jackson County’s positive population growth in the 2000s was the result of substantial net in-migration and 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 decline to almost nothing by 2014. While net in-migration outweighed declining natural increase during the early and middle years of the last decade, the gap between these two numbers shrank during the later years—slowing population growth by 2010. Since 2010 net in-migration has driven rising population growth rates, while natural increase continues to shrink. Total population in Jackson 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, population growth will become increasingly reliant on net in-migration. Even so, Jackson County’s total population is forecast to increase by nearly 44,600 over the next 20 years (2015-2035) and by nearly 95,600 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 Jackson 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. Jackson County’s total population has grown steadily since 2000, with an average annual growth rate of above one percent between 2000 and 2010 (Figure 1); however some of its sub-areas experienced more rapid population growth during the 2000s. Eagle Point and Central Point UGBs posted the highest average annual growth rates at 5.6 and 2.9 percent, respectively, during the 2000 to 2010 period. Jackson County’s positive population growth in the 2000s was the result of substantial net in-migration and 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 decline to almost nothing by 2014. While net in-migration outweighed declining natural increase during the early and middle years of the last decade, the gap between these two numbers shrank during the later years—slowing population growth by 2010. Since 2010 net in-migration has driven rising population growth rates, while natural increase continues to shrink. Total population in Jackson 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, population growth will become increasingly reliant on net in-migration. Even so, Jackson County’s total population is forecast to increase by nearly 44,600 over the next 20 years (2015-2035) and by nearly 95,600 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

• 75. [Article] Coordinated Population Forecast for Jefferson 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. Jefferson ...

  Citation × Citation Citation Abstract Copy Title: Coordinated Population Forecast for Jefferson 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. Jefferson County’s total population has grown steadily since 2000, with average annual growth rates of a little more than one percent between 2000 and 2010 (Figure 1); however some of its sub-areas experienced more rapid population growth during the 2000s. Culver posted the highest average annual growth rate 5.4 percent during the 2000 to 2010 period. Jefferson County’s positive population growth in the 2000s was the result of steady natural increase— the difference between births and deaths—and substantial net in-migration from 2006 to 2008. 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 and a consequent decline in births. The growing number of deaths and shrinking number of births led to declining natural increase. While net inmigration and steady natural increase contributed to population growth during the early and middle years of the last decade, both of these numbers shrank during more recent years—slowing population growth from 2010 to 2013. Total population in Jefferson 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 declining natural increase (births minus deaths). As natural increase declines population growth will become increasingly reliant on net in-migration. Even so, Jefferson County’s total population is forecast to increase by more than 5,100 over the next 20 years (2015-2035) and by nearly 11,000 over the entire 50-year forecast period (2015-2065). The Madras UGB will likely show slightly stronger population growth—relative to the 2000s—in the initial 20 year forecast period, but population growth is expected to slow during the last 30 years. Population within the Culver UGB is expected to grow at a much slower rate—relative to the 2000s—in the initial 20-year forecast period. Population growth in Culver is also expected to taper throughout the last 30 years of the forecast period. The area outside UGBs is forecast to grow at a steadier, although lower rate than the UGBs throughout the forecast period. Title: Coordinated Population Forecast for Jefferson 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. Jefferson County’s total population has grown steadily since 2000, with average annual growth rates of a little more than one percent between 2000 and 2010 (Figure 1); however some of its sub-areas experienced more rapid population growth during the 2000s. Culver posted the highest average annual growth rate 5.4 percent during the 2000 to 2010 period. Jefferson County’s positive population growth in the 2000s was the result of steady natural increase— the difference between births and deaths—and substantial net in-migration from 2006 to 2008. 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 and a consequent decline in births. The growing number of deaths and shrinking number of births led to declining natural increase. While net inmigration and steady natural increase contributed to population growth during the early and middle years of the last decade, both of these numbers shrank during more recent years—slowing population growth from 2010 to 2013. Total population in Jefferson 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 declining natural increase (births minus deaths). As natural increase declines population growth will become increasingly reliant on net in-migration. Even so, Jefferson County’s total population is forecast to increase by more than 5,100 over the next 20 years (2015-2035) and by nearly 11,000 over the entire 50-year forecast period (2015-2065). The Madras UGB will likely show slightly stronger population growth—relative to the 2000s—in the initial 20 year forecast period, but population growth is expected to slow during the last 30 years. Population within the Culver UGB is expected to grow at a much slower rate—relative to the 2000s—in the initial 20-year forecast period. Population growth in Culver is also expected to taper throughout the last 30 years of the forecast period. The area outside UGBs is forecast to grow at a steadier, although lower rate than the UGBs throughout the forecast period. Close

• 76. [Article] Coordinated Population Forecast for Klamath County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2015-2065

  Different growth patterns occur in different parts of the county, and the local trends within the UGBs and the area outside UGBs collectively influence population growth rates for the county as a whole. Klamath ...

  Citation × Citation Citation Abstract Copy Title: Coordinated Population Forecast for Klamath 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 the local trends within the UGBs and the area outside UGBs collectively influence population growth rates for the county as a whole. Klamath 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); however, some of its sub-areas experienced more rapid population growth during the 2000s. Malin and the area outside UGBs posted the highest average annual growth rates at 2.4 and 0.7 percent, respectively, during the 2000 to 2010 period. Klamath County’s positive population growth in the 2000s was due to the combination of net inmigration and natural increase (births minus deaths). At the same time an aging population not only led to an increase in deaths, but also resulted in a smaller proportion of women in their childbearing years and a consequent decline in births. The growing number of deaths and shrinking number of births led natural increase—the difference between births and deaths—to decline from 2000 to 2014. While net in-migration and natural increase both contributed to population growth from 2000 to 2010, in recent years (i.e., 2011-2014) these two numbers shrank—slowing population growth. Total population in Klamath 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), 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 which is expected to lead to declining natural increase. As natural increase declines and becomes natural decrease, population growth is expected to become increasingly reliant on net in-migration. Even so, Klamath County’s total population is forecast to increase by more than 5,100 over the next 20 years (2015-2035), but the county as whole is expected to see population decline over the last 30 years of the forecast period. With the exception of the area outside UGBs most sub-areas that saw population growth in the 2000s are forecast to have growth throughout the forecast period. Some sub-areas that experienced population loss in the 2000s are expected to show population increase throughout the forecast period, but these gains will likely be small. Title: Coordinated Population Forecast for Klamath 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 the local trends within the UGBs and the area outside UGBs collectively influence population growth rates for the county as a whole. Klamath 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); however, some of its sub-areas experienced more rapid population growth during the 2000s. Malin and the area outside UGBs posted the highest average annual growth rates at 2.4 and 0.7 percent, respectively, during the 2000 to 2010 period. Klamath County’s positive population growth in the 2000s was due to the combination of net inmigration and natural increase (births minus deaths). At the same time an aging population not only led to an increase in deaths, but also resulted in a smaller proportion of women in their childbearing years and a consequent decline in births. The growing number of deaths and shrinking number of births led natural increase—the difference between births and deaths—to decline from 2000 to 2014. While net in-migration and natural increase both contributed to population growth from 2000 to 2010, in recent years (i.e., 2011-2014) these two numbers shrank—slowing population growth. Total population in Klamath 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), 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 which is expected to lead to declining natural increase. As natural increase declines and becomes natural decrease, population growth is expected to become increasingly reliant on net in-migration. Even so, Klamath County’s total population is forecast to increase by more than 5,100 over the next 20 years (2015-2035), but the county as whole is expected to see population decline over the last 30 years of the forecast period. With the exception of the area outside UGBs most sub-areas that saw population growth in the 2000s are forecast to have growth throughout the forecast period. Some sub-areas that experienced population loss in the 2000s are expected to show population increase throughout the forecast period, but these gains will likely be small. Close

• 77. [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

• 78. [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

• 79. [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

• 80. [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

• 81. [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

• 82. [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

• 83. [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

• 84. [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

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

  Gilliam County’s total population declined during the 2000s, with average annual growth rate of negative two-tenths of one percent (Figure 1); however, since 2010 the county has seen a slight increase ...

  Citation × Citation Citation Abstract Copy Title: Coordinated Population Forecast for Gilliam 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 Gilliam County’s total population declined during the 2000s, with average annual growth rate of negative two-tenths of one percent (Figure 1); however, since 2010 the county has seen a slight increase in population, growing by more than 100 persons between 2010 and 2015 (Figure 2). Gilliam County’s population decline in the 2000s was the result of a steady natural decrease and periods of net out-migration (Figure 12). The larger number of deaths relative to births has led to a natural decrease in nearly every year from 2000 to 2010. While net in-migration fluctuated during the early and middle years of the last decade, the number of in-migrants has been increased stably during recent years, contributing to population increase since 2009. Total population in Gilliam County as a whole is expected to increase over the forecast period, with the majority of this growth occurring within Arlington UGB (Figure 1). Increasing net in-migration is expected to offset the growth in the natural decrease throughout the entire 50-year forecast period. An aging population in the near-term 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 steady number of births. During the final 31 years of the forecast period, the population is expected to shift toward younger ages leading to more births and a steady number of deaths. This combined with steady net in-migration is expected to lead to continued steady population growth. Title: Coordinated Population Forecast for Gilliam 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 Gilliam County’s total population declined during the 2000s, with average annual growth rate of negative two-tenths of one percent (Figure 1); however, since 2010 the county has seen a slight increase in population, growing by more than 100 persons between 2010 and 2015 (Figure 2). Gilliam County’s population decline in the 2000s was the result of a steady natural decrease and periods of net out-migration (Figure 12). The larger number of deaths relative to births has led to a natural decrease in nearly every year from 2000 to 2010. While net in-migration fluctuated during the early and middle years of the last decade, the number of in-migrants has been increased stably during recent years, contributing to population increase since 2009. Total population in Gilliam County as a whole is expected to increase over the forecast period, with the majority of this growth occurring within Arlington UGB (Figure 1). Increasing net in-migration is expected to offset the growth in the natural decrease throughout the entire 50-year forecast period. An aging population in the near-term 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 steady number of births. During the final 31 years of the forecast period, the population is expected to shift toward younger ages leading to more births and a steady number of deaths. This combined with steady net in-migration is expected to lead to continued steady population growth. Close

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

  Baker County’s population declined between 2000 and 2010, losing on average of just over 60 people per year (Figure 1); however in recent years this pattern has changed and population increase has occurred. ...

  Citation × Citation Citation Abstract Copy Title: Coordinated Population Forecast for Baker 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 Baker County’s population declined between 2000 and 2010, losing on average of just over 60 people per year (Figure 1); however in recent years this pattern has changed and population increase has occurred. Between 2010 and 2015 the county added on average about 20 persons per year (Figure 2). Baker County’s population decline in the 2000s was the result of natural decrease and periods of substantial net out-migration. The larger number of deaths relative to births has led to 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 (2010-2015), contributing to population increase. Total population in Baker County is forecast to increase in the near-term (2016 to 2035), a trend that is driven by growth in the three sub-areas of Baker City, Richland, and Sumpter (Figure 1); however population decline is expected for the county over the last 31 years of the forecast period. This population decrease is the result of growing natural decrease, which is expected to surpass net in-migration between 2030 and 2035. Overall the county is forecast to see nearly no net change in population over the entire 50-year period, beginning the forecast at around 16,400 in 2016 and ending at about 16,400 in 2066. Title: Coordinated Population Forecast for Baker 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 Baker County’s population declined between 2000 and 2010, losing on average of just over 60 people per year (Figure 1); however in recent years this pattern has changed and population increase has occurred. Between 2010 and 2015 the county added on average about 20 persons per year (Figure 2). Baker County’s population decline in the 2000s was the result of natural decrease and periods of substantial net out-migration. The larger number of deaths relative to births has led to 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 (2010-2015), contributing to population increase. Total population in Baker County is forecast to increase in the near-term (2016 to 2035), a trend that is driven by growth in the three sub-areas of Baker City, Richland, and Sumpter (Figure 1); however population decline is expected for the county over the last 31 years of the forecast period. This population decrease is the result of growing natural decrease, which is expected to surpass net in-migration between 2030 and 2035. Overall the county is forecast to see nearly no net change in population over the entire 50-year period, beginning the forecast at around 16,400 in 2016 and ending at about 16,400 in 2066. Close

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

  Wallowa County’s total population has declined since 2000 at an average annual rate of about threetenths of one percent between 2000 and 2010 (Figure 1); however, Enterprise and Joseph experienced population ...

  Citation × Citation Citation Abstract Copy Title: Coordinated Population Forecast for Wallowa 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 Wallowa County’s total population has declined since 2000 at an average annual rate of about threetenths of one percent between 2000 and 2010 (Figure 1); however, Enterprise and Joseph experienced population growth during the 2000s. In spite of population increases in the two most populous UGBs, the area outside UGBs declined by nearly one percent per year between 2000 and 2010, losing nearly 200 persons and effectively driving countywide population decline. Even so, Wallowa County’s population has slightly increased in recent years, growing by roughly 100 people between 2010 and 2015 (Figure 2). Wallowa County’s population decline in the 2000s was the result of a natural decrease and periods of net out-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 migration fluctuated dramatically during the last decade, net in-migration has been consistent during recent years, contributing to a population increase. Total population in Wallowa County as a whole will likely increase in the near-term (2015 to 2035), driven by population growth in Enterprise, Joseph, and the area outside UGBs (Figure 1). However, in the remaining 31-year period, the county is forecast to see population decline. A rise in the magnitude of natural decrease and slow growth of net in-migration are expected to cause population growth to reach its peak in 2025, turning to population decline through the remainder of the forecast period. 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 migration is expected to remain relatively steady throughout the forecast period, but will not offset natural decrease after 2025. Title: Coordinated Population Forecast for Wallowa 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 Wallowa County’s total population has declined since 2000 at an average annual rate of about threetenths of one percent between 2000 and 2010 (Figure 1); however, Enterprise and Joseph experienced population growth during the 2000s. In spite of population increases in the two most populous UGBs, the area outside UGBs declined by nearly one percent per year between 2000 and 2010, losing nearly 200 persons and effectively driving countywide population decline. Even so, Wallowa County’s population has slightly increased in recent years, growing by roughly 100 people between 2010 and 2015 (Figure 2). Wallowa County’s population decline in the 2000s was the result of a natural decrease and periods of net out-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 migration fluctuated dramatically during the last decade, net in-migration has been consistent during recent years, contributing to a population increase. Total population in Wallowa County as a whole will likely increase in the near-term (2015 to 2035), driven by population growth in Enterprise, Joseph, and the area outside UGBs (Figure 1). However, in the remaining 31-year period, the county is forecast to see population decline. A rise in the magnitude of natural decrease and slow growth of net in-migration are expected to cause population growth to reach its peak in 2025, turning to population decline through the remainder of the forecast period. 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 migration is expected to remain relatively steady throughout the forecast period, but will not offset natural decrease after 2025. Close

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

  Sherman County’s total population has declined since 2000, at an average annual rate of nearly one percent between 2000 and 2010 (Figure 1); however, Wasco UGB, one of its sub-areas, experienced population ...

  Citation × Citation Citation Abstract Copy Title: Coordinated Population Forecast for Sherman 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 Sherman County’s total population has declined since 2000, at an average annual rate of nearly one percent between 2000 and 2010 (Figure 1); however, Wasco UGB, one of its sub-areas, experienced population growth during the 2000s. Wasco, the most populous UGB, posted an average annual growth rate of a little less than one percent during the 2000 to 2010 period. This translated into a population increase of about 30 persons. Sherman County’s population decline in the 2000s was the direct result of consistent net out-migration and periods of natural decreases (more deaths than births, Figure 12). The county’s aging population has contributed to an increase in deaths, which combined with a relatively steady number of births has resulted in a natural decrease for nine out of the 15 years between 2000 and 2015. While net out-migration and natural decrease were common during the last decade, in more recent years (2010 to 2015) net in-migration has occurred, bringing with it some population growth. Total population in Sherman County is forecast to increase in the near-term (2016 to 2035), a trend that is driven by growth in the two sub-areas of Rufus and Wasco (Figure 1); however population decline is expected for the county over the remaining 31 years of the forecast period. This population decrease is the result of a growing natural decrease, which is expected to exceed net in-migration around 2030. Sherman County’s total population is forecast to increase by about 50 persons over the next 19 years (2016-2035), but will likely see population decline of more than 80 persons during the last 31 years of the forecast period (2035-2066). Sub-areas are expected to generally follow their historical patterns of population increase or decrease over the forecast period. Title: Coordinated Population Forecast for Sherman 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 Sherman County’s total population has declined since 2000, at an average annual rate of nearly one percent between 2000 and 2010 (Figure 1); however, Wasco UGB, one of its sub-areas, experienced population growth during the 2000s. Wasco, the most populous UGB, posted an average annual growth rate of a little less than one percent during the 2000 to 2010 period. This translated into a population increase of about 30 persons. Sherman County’s population decline in the 2000s was the direct result of consistent net out-migration and periods of natural decreases (more deaths than births, Figure 12). The county’s aging population has contributed to an increase in deaths, which combined with a relatively steady number of births has resulted in a natural decrease for nine out of the 15 years between 2000 and 2015. While net out-migration and natural decrease were common during the last decade, in more recent years (2010 to 2015) net in-migration has occurred, bringing with it some population growth. Total population in Sherman County is forecast to increase in the near-term (2016 to 2035), a trend that is driven by growth in the two sub-areas of Rufus and Wasco (Figure 1); however population decline is expected for the county over the remaining 31 years of the forecast period. This population decrease is the result of a growing natural decrease, which is expected to exceed net in-migration around 2030. Sherman County’s total population is forecast to increase by about 50 persons over the next 19 years (2016-2035), but will likely see population decline of more than 80 persons during the last 31 years of the forecast period (2035-2066). Sub-areas are expected to generally follow their historical patterns of population increase or decrease over the forecast period. Close

• 89. [Article] Coordinated Population Forecast for Morrow 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. Morrow ...

  Citation × Citation Citation Abstract Copy Title: Coordinated Population Forecast for Morrow 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. Morrow County’s total population has grown slowly since 2000, with average annual growth rates of less than half percent between 2000 and 2010 (Figure 1); however, some of its sub-areas experienced more rapid population growth during the 2000s. Boardman, the most populous UGB, and Irrigon posted the highest average annual growth rates at 1.0 and 0.5 percent, respectively, during the 2000 to 2010 period. Morrow County’s positive population growth in the 2000s was the direct result of a substantial natural increase (Figure 12). 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 births relative to deaths caused a natural increase in every year from 2000 to 2014. In more recent years (2010 to 2015) net in-migration has increased, bringing with it population more growth. Total population in Morrow 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 a larger base population—the denominator to calculate growth rates. As baby boomers age into the mid-term of the future, natural increase will reach its low point around 2045 and then rebound. Even so, Morrow County’s total population is forecast to increase by nearly 1,900 over the next 19 years (2016-2035) and by almost 4,900 over the entire 50-year forecast period (2016-2066). 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 Morrow 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. Morrow County’s total population has grown slowly since 2000, with average annual growth rates of less than half percent between 2000 and 2010 (Figure 1); however, some of its sub-areas experienced more rapid population growth during the 2000s. Boardman, the most populous UGB, and Irrigon posted the highest average annual growth rates at 1.0 and 0.5 percent, respectively, during the 2000 to 2010 period. Morrow County’s positive population growth in the 2000s was the direct result of a substantial natural increase (Figure 12). 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 births relative to deaths caused a natural increase in every year from 2000 to 2014. In more recent years (2010 to 2015) net in-migration has increased, bringing with it population more growth. Total population in Morrow 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 a larger base population—the denominator to calculate growth rates. As baby boomers age into the mid-term of the future, natural increase will reach its low point around 2045 and then rebound. Even so, Morrow County’s total population is forecast to increase by nearly 1,900 over the next 19 years (2016-2035) and by almost 4,900 over the entire 50-year forecast period (2016-2066). Sub-areas that showed strong population growth in the 2000s are expected to experience similar rates of population growth during the forecast period. Close

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

  Hood River County’s total population has grown steadily since 2000, with an average annual growth rate of about one percent between 2000 and 2010 (Figure 1). The Hood River UGB experienced more rapid population ...

  Citation × Citation Citation Abstract Copy Title: Coordinated Population Forecast for Hood River 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 Hood River County’s total population has grown steadily since 2000, with an average annual growth rate of about one percent between 2000 and 2010 (Figure 1). The Hood River UGB experienced more rapid population growth during the 2000s, averaging more than one percent per year during the 2000 to 2010 period. Hood River County’s positive population growth in the 2000s was the result of a steady natural increase and periods of substantial net in-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. While net in-migration fluctuated dramatically during the early and middle years of the last decade, the number of in-migrants has increased stably during recent years, contributing to a population increase. Overall, Hood River County’s population growth is becoming more reliant on net in-migration. Total population in Hood River 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 driven by a growing natural decrease, as well as a larger population base. As natural decrease occurs over the final 31-year period, population growth will become increasingly reliant on net in-migration. Even so, Hood River County’s total population is forecast to increase by more than 6,000 during the initial 19-year period (2016-2035) and by more than 14,000 over the entire 50-year forecast (2016-2066). 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 Hood River 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 Hood River County’s total population has grown steadily since 2000, with an average annual growth rate of about one percent between 2000 and 2010 (Figure 1). The Hood River UGB experienced more rapid population growth during the 2000s, averaging more than one percent per year during the 2000 to 2010 period. Hood River County’s positive population growth in the 2000s was the result of a steady natural increase and periods of substantial net in-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. While net in-migration fluctuated dramatically during the early and middle years of the last decade, the number of in-migrants has increased stably during recent years, contributing to a population increase. Overall, Hood River County’s population growth is becoming more reliant on net in-migration. Total population in Hood River 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 driven by a growing natural decrease, as well as a larger population base. As natural decrease occurs over the final 31-year period, population growth will become increasingly reliant on net in-migration. Even so, Hood River County’s total population is forecast to increase by more than 6,000 during the initial 19-year period (2016-2035) and by more than 14,000 over the entire 50-year forecast (2016-2066). Sub-areas that showed strong population growth in the 2000s are expected to experience similar rates of population growth during the forecast period. Close