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Full-Text Articles in Urban Studies and Planning

North Santiam School District Population And Enrollment Forecasts, 2017-18 To 2031-32, Portland State University. Population Research Center, Charles Rynerson, Scott Stewart, Nicholas Chun Dec 2016

North Santiam School District Population And Enrollment Forecasts, 2017-18 To 2031-32, Portland State University. Population Research Center, Charles Rynerson, Scott Stewart, Nicholas Chun

School District Enrollment Forecast Reports

This report presents a series of three scenarios of district-wide enrollment forecasts by grade level for the North Santiam School District (NSSD) for the 15-year period between 2017-18 and 2031-32. 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 series scenario are also presented for the 15-year period.


Eugene 4j School District Population And Enrollment Forcasts 2016‐17 To 2025‐26, Portland State University. Population Research Center, Charles Rynerson, Scott Stewart Sep 2016

Eugene 4j School District Population And Enrollment Forcasts 2016‐17 To 2025‐26, Portland State University. Population Research Center, Charles Rynerson, Scott Stewart

School District Enrollment Forecast Reports

The Eugene 4J School District (4J) requested that the Portland State University Population Research Center (PRC) prepare enrollment forecasts for the District and its schools in collaboration with Lane Council of Governments (LCOG). This report presents a range of three scenarios of district‐wide enrollment forecasts by grade level for 4J 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 …


Portland Public Schools Enrollment Forecasts, 2016-17 To 2030-31: Based On October 2015 Enrollments, Portland State University. Population Research Center, Charles Rynerson, Nicholas Chun Aug 2016

Portland Public Schools Enrollment Forecasts, 2016-17 To 2030-31: Based On October 2015 Enrollments, Portland State University. Population Research Center, Charles Rynerson, Nicholas Chun

School District Enrollment Forecast Reports

This report presents the results of a demographic study conducted by the Portland State University Population Research Center (PRC) for Portland Public Schools (PPS). The study includes analysis of population, housing and enrollment trends affecting the District in recent years, estimates of the number of PPS students by housing type, and annual forecasts of enrollment for a 15 year horizon, from 2016‐17 to 2030‐31. Enrollment forecasts were prepared under high, medium, and low scenarios for the District. Forecasts for attendance areas by place of residence and for individual schools are consistent with the medium district‐wide forecast.


Salem‐Keizer School District Population And Enrollment Forecast Update 2016‐17 To 2035‐36, Portland State University. Population Research Center, Charles Rynerson, Nicholas Chun Aug 2016

Salem‐Keizer School District Population And Enrollment Forecast Update 2016‐17 To 2035‐36, Portland State University. Population Research Center, Charles Rynerson, Nicholas Chun

School District Enrollment Forecast Reports

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.


Forest Grove School District: Enrollment Forecast 2016-17 To 2025-26, Portland State University. Population Research Center, Charles Rynerson, Scott Stewart, Nicholas Chun Jun 2016

Forest Grove School District: Enrollment Forecast 2016-17 To 2025-26, Portland State University. Population Research Center, Charles Rynerson, Scott Stewart, Nicholas Chun

School District Enrollment Forecast Reports

This report presents a series of three scenarios of district-wide enrollment forecasts by grade level for the Forest Grove School District (FGSD) 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 series scenario are also presented for the 10 year period.


St. Helens School District Enrollment Forecasts 2016-17 To 2025-26, Portland State University. Population Research Center, Charles Rynerson, Scott Stewart, Nicholas Chun Jun 2016

St. Helens School District Enrollment Forecasts 2016-17 To 2025-26, Portland State University. Population Research Center, Charles Rynerson, Scott Stewart, Nicholas Chun

School District Enrollment Forecast Reports

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


Hillsboro School District: District-Wide Enrollment Forecast 2016-17 To 2030-31, Portland State University. Population Research Center Mar 2016

Hillsboro School District: District-Wide Enrollment Forecast 2016-17 To 2030-31, Portland State University. Population Research Center

School District Enrollment Forecast Reports

The tables following this brief summary contain results of a demographic study conducted for the Hillsboro School District (HSD) by the Portland State University Population Research Center (PRC). Forecasts of district‐wide enrollment annually from 2016‐17 to 2030‐31 under low, middle, and high growth scenarios constitute the core information requested by the District. Additional tables present information compiled in the course of developing forecasts, including recent population, housing and school enrollment trends.


Oregon City School District Enrollment Forecasts 2015‐16 To 2024‐25, Portland State University. Population Research Center, Charles Rynerson, Scott Stewart Mar 2016

Oregon City School District Enrollment Forecasts 2015‐16 To 2024‐25, Portland State University. Population Research Center, Charles Rynerson, Scott Stewart

School District Enrollment Forecast Reports

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 2015‐16 and 2024‐25. 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.


North Clackamas School District Population And Enrollment Forecasts 2016‐17 To 2025‐26, Portland State University. Population Research Center, Charles Rynerson, Scott Stewart, Nicholas Chun Mar 2016

North Clackamas School District Population And Enrollment Forecasts 2016‐17 To 2025‐26, Portland State University. Population Research Center, Charles Rynerson, Scott Stewart, Nicholas Chun

School District Enrollment Forecast Reports

This report presents the results of a demographic study conducted by the Portland State University Population Research Center (PRC). The study includes analysis of population, housing and enrollment trends affecting the North Clackamas School District (NCSD) in recent years and forecasts of district-wide and individual school enrollments for the 2016-17 to 2025-26 school years.