Social and Behavioral Sciences Commons^™

Spatially Allocated Population Characteristics For Oregon Counties From The 2017-2021 Acs Pums, Version 1.0" [Computer File], Population Research Center, Portland State University

Publications, Reports and Presentations

A novel dataset and documentation containing spatially allocated estimates based on analysis of the 2017-21 ACS PUMS for counties in the State of Oregon. Analysis was performed by iterative adjustment to the ACS weights such that results were consistent with selected tables generated from the full ACS sample published by the US Census Bureau. The data are delivered in two pipe-delimited text files. Each row represents one county, and columns represent standard data fields described in the codebooks. Oregon Department of Human Services supported the analysis and selected the indicators for production; race/ethnicity are reporting in a manner consistent with …

Model-Based Estimates Of Population Of Oregon Census Blocks As Of April 1, 2020, Population Research Center, Portland State University

Publications, Reports and Presentations

The methodology used to produce population estimates as of 4/1/2020 for the state at the block group level relies on data from the 2010 Census Summary File 1 (SF1), 2020 Census Apportionment Results, US Census partnership programs supporting the 2020 Census, 2020 Tiger/Line boundary files, 2015-2019 5-year American Community Survey (ACS) files, ESRI Updated Demographics vintage 2020, and estimates from the Portland State University Population Research Center and US Census Population Division.

The 2010 decennial census block file was the baseline for average household size, and counts of housing units and population by race in 2010. Block group or tract …

Lake Oswego School District Population And Enrollment Forecasts 2019-20 To 2028-29, Portland State University. Population Research Center, Charles Rynerson, Joshua Ollinger

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 the Lake Oswego School District (LOSD). The study includes analyses of population, housing and enrollment trends affecting the District in recent years, and forecasts of district‐wide school enrollments for the 2019‐20 to 2028‐29 school years. Following are some of the highlights found in this report:

• Population and Housing Trends
• Housing and Enrollment
• Enrollment Trends
• Enrollment Forecasts

Oregon Demographic Trends, Charles Rynerson

Publications, Reports and Presentations

This presentation was part of a session called "Demographic Change: Potential Impact in Oregon and the Workplace." Nick Beleiciks, State of Oregon Employment Department Economist, was a co-presenter in the session.

Knappa School District Enrollment Forecast 2018-19 To 2027-28, Portland State University. Population Research Center, Charles Rynerson

School District Enrollment Forecast Reports

This report presents district-wide enrollment forecasts by grade level for the Knappa School District for the 20 year period between 2007-08 and 2027-28. The report also includes the population, housing, social and economic profile Knappa School District 1 as well as the 2000 and 2010 census profile for the school district.

Portland Public Schools Enrollment Forecasts, 2018-19 To 2032-33: Based On October 2017 Enrollments, Portland State University. Population Research Center, Charles Rynerson, Joshua Ollinger

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 2018‐19 to 2032‐33. Enrollment forecasts were prepared under high, middle, and low scenarios for the District. Forecasts for attendance areas by place of residence and for individual schools are consistent with the middle district‐wide forecast.

Central Point School District 6 Enrollment Forecast Update 2018-19 To 2027-28, Portland State University. Population Research Center, Charles Rynerson, Nicholas Chun, Joshua Ollinger

School District Enrollment Forecast Reports

This report presents a range of three scenarios of district‐wide enrollment forecasts by grade level for Central Point School District 6 (CPSD) for the 10 year period between 2018‐19 and 2027‐28. 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 are also presented for the 10 year period.

Two Forecasting Models For Portland, Oregon: Hamilton –Perry Vs Metroscope, Richard Lycan

Institute on Aging Publications

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

Population Forecast For Lane County, Its Cities And Unincorporated Area 2008-2035, Portland State University. Population Research Center, Risa S. Proehl, George C. Hough Jr., Danan Ru, Kenneth Radin, Mark Gilbert

Oregon Population Estimates and Reports

This report presents the results of a study conducted by the Population Research Center (PRC) to address the long-range planning needs of Lane County and produce population forecasts at the county and sub-county level. This report considers recent and historical demographic changes experienced within the County and provides forecasts from 2008 to 2035 in 5-year intervals. Expected future populations that result from the most-likely demographic trends throughout Lane County are presented in this report.