class: center, middle, inverse, title-slide .title[ # Oregon Population Forecast Program ] .subtitle[ ## Proposal Forecasts for Counties & UGBs ] .author[ ### Douglas County ] .institute[ ### Portland State University Population Research Center ] .date[ ### March 2026 ] --- class: center # Comments or Questions? ## Contact PSUPRC Email: [askprc@pdx.edu](mailto:askprc@pdx.edu) Telephone: 503-725-3922 ## Proposal Population Projections https://www.pdx.edu/population-research/population-forecasts --- class: center # PSUPRC Project Team .pull-left[ **Huda Alkitkat, PhD.** *Population Estimates Manager* **Seth Dowden** *Research Assistant* **Neal Marquez, PhD.** *Population Forecast Manager* **Gilbert Montcho, PhD.** *Demographic & Labor Econ Analyst* **Scott Nordstrom, PhD.** *Post-Doctoral Researcher* ] .pull-right[ **Ethan Sharygin, PhD.** *Director* **Aja Sutton, PhD.** *Post-Doctoral Researcher* **David Swanson, PhD.** *Research Associate* **Suniva Thangaraj** *Program Manager* **Joshua Wilde, PhD.** *Research Scientist* ] --- # Douglas County Outline - Introduction - Updates - County Overview - UGB Forecasts <style type="text/css"> .pulll-left { float: left; width: 20%; } .pulll-right { float: right; width: 68%; } </style> <style type="text/css"> .pux-left { float: left; width: 38%; } .pux-right { float: right; width: 58%; } </style> <style type="text/css"> .puz-left { float: left; width: 58%; } .puz-right { float: right; width: 38%; } </style> <style type="text/css"> .city table { font-size: 14px; } </style> --- # PSUPRC OPFP Population Forecasts .puz-left[ - For the purposes of land use planning PSUPRC generates population forecasts - For counties, urban growth boundaries (UGBs), and areas outside UGBs - These forecasts must - Be updated at least every four years - Cover a 50 year forecast horizon - Include most up to date data - Allow for public input/objections - Methods & results publicly available ] .puz-right[  ] --- # Oregon Population Forecast Program Cycle  --- # Methods Review: Cohort Component Method .pux-left[ - For Counties - Births = Females 15-50 * Birth Rate - Both number of and rate of births in OR decreasing - Deaths = All Population * Death Rate - While number of deaths are increasing rate of deaths decreasing - Migration = Past migration events - Average of past migration is most likely scenario moving forward ] .pux-right[  ] --- # Methods Review: Housing Unit Method .pull-left[ - For UGBs - `\(P_t = P_{t-1} + \Delta HU*PPH*OCC\)` - `\(PPH\)`: Persons per household - Estimated from most recent census data - `\(OCC\)`: Occupancy Rate - Estimated from most recent census data - `\(\Delta HU\)`: annual change in housing units - Modeled based on past housing unit growth trends ] .pull-right[  ] --- # After this meeting - Email for further follow up - March 30, 2026 forecast discussion period ends - Chance to formally appeal until May 15, 2026 - Will review appeals in the following week - No further changes will be made after May 22, 2026 - Reports and data tables will be available June 15, 2026 --- class: center, middle, inverse # Updates --- # Survey and Preliminary Meeting Feedback - Received housing and general survey responses from over 20 organizations - Updated GIS UGB boundary lines - Account for large public works alter housing development trajectories - Incorporate group quarter expansions - Adjusted housing unit productions - Housing build moratoriums - General concerns - Restrictions on development - Access to others responses --- # Incoporation of 2025 Certified Estimates  --- # Slowing Growth Across the State  --- # Changes in Vital Trends  --- # International Migration  --- # Domestic Mobility  --- class: center, middle, inverse # Douglas County --- # Summary of Considerations - Douglas County's population growth has been consistent but slowing - Negative natural change largely impacting growth - Migration is expected to increase over time in part due to churn - Negative population change is still on the way - Slight upward adjustmenst made to reflect development --- # Douglas at a Glance <table> <thead> <tr> <th style="text-align:left;"> Statistic </th> <th style="text-align:left;"> Douglas </th> <th style="text-align:left;"> Oregon </th> </tr> </thead> <tbody> <tr> <td style="text-align:left;"> Total Population </td> <td style="text-align:left;"> 111,201 </td> <td style="text-align:left;"> 4,237,256 </td> </tr> <tr> <td style="text-align:left;"> Population Aged 0-17 </td> <td style="text-align:left;"> 19.30% </td> <td style="text-align:left;"> 20.20% </td> </tr> <tr> <td style="text-align:left;"> Population Aged 65+ </td> <td style="text-align:left;"> 25.99% </td> <td style="text-align:left;"> 18.25% </td> </tr> <tr> <td style="text-align:left;"> Population non-White </td> <td style="text-align:left;"> 10.16% </td> <td style="text-align:left;"> 23.41% </td> </tr> <tr> <td style="text-align:left;"> Persons per Household </td> <td style="text-align:left;"> 2.39 (49,774 units) </td> <td style="text-align:left;"> 2.48 (1,813,747 units) </td> </tr> </tbody> </table> --- # Douglas Employment Changes
--- # Douglas Migration Flows
--- # Douglas Population .pulll-left[ Growth has noticeably slowed in the period following the pandemic and the population is expected to stabilize over the forecast period. ] .pulll-right[
] --- # Douglas Compositional Changes .pulll-left[ Natural change has rapidly fallen, and increased migration is necessary to maintain a stable population size. ] .pulll-right[
] --- # Douglas Births .pulll-left[ Births have steadily fallen as fertility rates have dropped over time. ] .pulll-right[
] --- # Douglas Deaths .pulll-left[ Deaths have steadily increased as the population continues to age. ] .pulll-right[
] --- # Douglas Life Expectancy & TFR <img src="Douglas_files/figure-html/unnamed-chunk-12-1.png" width="750px" height="500px" /> --- # Population Pyramids .pulll-left[ Out migration of young age populations, retirement migration, and continued aging in place is expected to contribute to a top heavy population dynamic. ] .pulll-right[
] --- # Douglas Race and Ethnicity .pulll-left[ Douglas county's White population is measurably older than its non-White population which is expected to lead to population decline in the coming years. ] .pulll-right[
] --- # Douglas UGB Population Changes <img src="Douglas_files/figure-html/unnamed-chunk-15-1.png" width="850px" height="500px" /> --- class: city # Douglas UGBs: Canyonville in Context .pux-right[ <img src="Douglas_files/figure-html/unnamed-chunk-16-1.png" width="800px" height="400px" /> ] .pux-left[ <table> <thead> <tr> <th style="text-align:left;"> Metric </th> <th style="text-align:left;"> 1980 </th> <th style="text-align:left;"> 2000 </th> <th style="text-align:left;"> 2020 </th> </tr> </thead> <tbody> <tr> <td style="text-align:left;"> Pop 65+ </td> <td style="text-align:left;"> 17.39% </td> <td style="text-align:left;"> 20.19% </td> <td style="text-align:left;"> 39.70% </td> </tr> <tr> <td style="text-align:left;"> Housing Units </td> <td style="text-align:left;"> 465 </td> <td style="text-align:left;"> 580 </td> <td style="text-align:left;"> 790 </td> </tr> <tr> <td style="text-align:left;"> Housing Occupancy </td> <td style="text-align:left;"> 92.04% </td> <td style="text-align:left;"> 92.07% </td> <td style="text-align:left;"> 87.34% </td> </tr> <tr> <td style="text-align:left;"> Persons Per Household </td> <td style="text-align:left;"> 2.80 </td> <td style="text-align:left;"> 2.41 </td> <td style="text-align:left;"> 2.21 </td> </tr> <tr> <td style="text-align:left;"> Household Income </td> <td style="text-align:left;"> $14,242 </td> <td style="text-align:left;"> $27,674 </td> <td style="text-align:left;"> $41,573 </td> </tr> <tr> <td style="text-align:left;"> Employment Rate </td> <td style="text-align:left;"> 94.12% </td> <td style="text-align:left;"> 86.75% </td> <td style="text-align:left;"> 86.84% </td> </tr> </tbody> </table> ] --- # Douglas County: Canyonville UGB Boundaries
--- # Canyonville UGB Pop Forecast <img src="Douglas_files/figure-html/unnamed-chunk-19-1.png" width="750px" height="500px" /> --- # Canyonville UGB Pop Forecast <img src="Douglas_files/figure-html/unnamed-chunk-20-1.png" width="750px" height="500px" /> --- class: city # Douglas UGBs: Drain in Context .pux-right[ <img src="Douglas_files/figure-html/unnamed-chunk-21-1.png" width="800px" height="400px" /> ] .pux-left[ <table> <thead> <tr> <th style="text-align:left;"> Metric </th> <th style="text-align:left;"> 1980 </th> <th style="text-align:left;"> 2000 </th> <th style="text-align:left;"> 2020 </th> </tr> </thead> <tbody> <tr> <td style="text-align:left;"> Pop 65+ </td> <td style="text-align:left;"> 10.63% </td> <td style="text-align:left;"> 13.22% </td> <td style="text-align:left;"> 17.92% </td> </tr> <tr> <td style="text-align:left;"> Housing Units </td> <td style="text-align:left;"> 444 </td> <td style="text-align:left;"> 441 </td> <td style="text-align:left;"> 496 </td> </tr> <tr> <td style="text-align:left;"> Housing Occupancy </td> <td style="text-align:left;"> 93.47% </td> <td style="text-align:left;"> 90.02% </td> <td style="text-align:left;"> 91.13% </td> </tr> <tr> <td style="text-align:left;"> Persons Per Household </td> <td style="text-align:left;"> 2.77 </td> <td style="text-align:left;"> 2.57 </td> <td style="text-align:left;"> 2.59 </td> </tr> <tr> <td style="text-align:left;"> Household Income </td> <td style="text-align:left;"> $15,000 </td> <td style="text-align:left;"> $27,833 </td> <td style="text-align:left;"> $49,130 </td> </tr> <tr> <td style="text-align:left;"> Employment Rate </td> <td style="text-align:left;"> 86.51% </td> <td style="text-align:left;"> 92.56% </td> <td style="text-align:left;"> 94.46% </td> </tr> </tbody> </table> ] --- # Douglas County: Drain UGB Boundaries
--- # Drain UGB Pop Forecast <img src="Douglas_files/figure-html/unnamed-chunk-24-1.png" width="750px" height="500px" /> --- # Drain UGB Pop Forecast <img src="Douglas_files/figure-html/unnamed-chunk-25-1.png" width="750px" height="500px" /> --- class: city # Douglas UGBs: Elkton in Context .pux-right[ <img src="Douglas_files/figure-html/unnamed-chunk-26-1.png" width="800px" height="400px" /> ] .pux-left[ <table> <thead> <tr> <th style="text-align:left;"> Metric </th> <th style="text-align:left;"> 1980 </th> <th style="text-align:left;"> 2000 </th> <th style="text-align:left;"> 2020 </th> </tr> </thead> <tbody> <tr> <td style="text-align:left;"> Pop 65+ </td> <td style="text-align:left;"> 19.35% </td> <td style="text-align:left;"> 22.45% </td> <td style="text-align:left;"> 46.45% </td> </tr> <tr> <td style="text-align:left;"> Housing Units </td> <td style="text-align:left;"> 65 </td> <td style="text-align:left;"> 82 </td> <td style="text-align:left;"> 107 </td> </tr> <tr> <td style="text-align:left;"> Housing Occupancy </td> <td style="text-align:left;"> 96.92% </td> <td style="text-align:left;"> 87.80% </td> <td style="text-align:left;"> 88.79% </td> </tr> <tr> <td style="text-align:left;"> Persons Per Household </td> <td style="text-align:left;"> 2.46 </td> <td style="text-align:left;"> 2.04 </td> <td style="text-align:left;"> 1.93 </td> </tr> <tr> <td style="text-align:left;"> Household Income </td> <td style="text-align:left;"> $13,056 </td> <td style="text-align:left;"> $27,188 </td> <td style="text-align:left;"> $45,625 </td> </tr> <tr> <td style="text-align:left;"> Employment Rate </td> <td style="text-align:left;"> 91.07% </td> <td style="text-align:left;"> 89.83% </td> <td style="text-align:left;"> 100.00% </td> </tr> </tbody> </table> ] --- # Douglas County: Elkton UGB Boundaries
--- # Elkton UGB Pop Forecast <img src="Douglas_files/figure-html/unnamed-chunk-29-1.png" width="750px" height="500px" /> --- # Elkton UGB Pop Forecast <img src="Douglas_files/figure-html/unnamed-chunk-30-1.png" width="750px" height="500px" /> --- class: city # Douglas UGBs: Glendale in Context .pux-right[ <img src="Douglas_files/figure-html/unnamed-chunk-31-1.png" width="800px" height="400px" /> ] .pux-left[ <table> <thead> <tr> <th style="text-align:left;"> Metric </th> <th style="text-align:left;"> 1980 </th> <th style="text-align:left;"> 2000 </th> <th style="text-align:left;"> 2020 </th> </tr> </thead> <tbody> <tr> <td style="text-align:left;"> Pop 65+ </td> <td style="text-align:left;"> 12.78% </td> <td style="text-align:left;"> 8.89% </td> <td style="text-align:left;"> 11.66% </td> </tr> <tr> <td style="text-align:left;"> Housing Units </td> <td style="text-align:left;"> 293 </td> <td style="text-align:left;"> 355 </td> <td style="text-align:left;"> 383 </td> </tr> <tr> <td style="text-align:left;"> Housing Occupancy </td> <td style="text-align:left;"> 91.81% </td> <td style="text-align:left;"> 87.61% </td> <td style="text-align:left;"> 89.30% </td> </tr> <tr> <td style="text-align:left;"> Persons Per Household </td> <td style="text-align:left;"> 2.65 </td> <td style="text-align:left;"> 2.75 </td> <td style="text-align:left;"> 2.51 </td> </tr> <tr> <td style="text-align:left;"> Household Income </td> <td style="text-align:left;"> $13,646 </td> <td style="text-align:left;"> $27,625 </td> <td style="text-align:left;"> $55,481 </td> </tr> <tr> <td style="text-align:left;"> Employment Rate </td> <td style="text-align:left;"> 69.08% </td> <td style="text-align:left;"> 94.16% </td> <td style="text-align:left;"> 87.72% </td> </tr> </tbody> </table> ] --- # Douglas County: Glendale UGB Boundaries
--- # Glendale UGB Pop Forecast <img src="Douglas_files/figure-html/unnamed-chunk-34-1.png" width="750px" height="500px" /> --- # Glendale UGB Pop Forecast <img src="Douglas_files/figure-html/unnamed-chunk-35-1.png" width="750px" height="500px" /> --- class: city # Douglas UGBs: Myrtle Creek in Context .pux-right[ <img src="Douglas_files/figure-html/unnamed-chunk-36-1.png" width="800px" height="400px" /> ] .pux-left[ <table> <thead> <tr> <th style="text-align:left;"> Metric </th> <th style="text-align:left;"> 1980 </th> <th style="text-align:left;"> 2000 </th> <th style="text-align:left;"> 2020 </th> </tr> </thead> <tbody> <tr> <td style="text-align:left;"> Pop 65+ </td> <td style="text-align:left;"> 7.64% </td> <td style="text-align:left;"> 14.83% </td> <td style="text-align:left;"> 20.37% </td> </tr> <tr> <td style="text-align:left;"> Housing Units </td> <td style="text-align:left;"> 1,203 </td> <td style="text-align:left;"> 1,437 </td> <td style="text-align:left;"> 1,544 </td> </tr> <tr> <td style="text-align:left;"> Housing Occupancy </td> <td style="text-align:left;"> 95.93% </td> <td style="text-align:left;"> 93.18% </td> <td style="text-align:left;"> 93.39% </td> </tr> <tr> <td style="text-align:left;"> Persons Per Household </td> <td style="text-align:left;"> 2.92 </td> <td style="text-align:left;"> 2.55 </td> <td style="text-align:left;"> 2.39 </td> </tr> <tr> <td style="text-align:left;"> Household Income </td> <td style="text-align:left;"> $16,694 </td> <td style="text-align:left;"> $30,658 </td> <td style="text-align:left;"> $56,842 </td> </tr> <tr> <td style="text-align:left;"> Employment Rate </td> <td style="text-align:left;"> 88.24% </td> <td style="text-align:left;"> 89.48% </td> <td style="text-align:left;"> 91.33% </td> </tr> </tbody> </table> ] --- # Douglas County: Myrtle Creek UGB Boundaries
--- # Myrtle Creek UGB Pop Forecast <img src="Douglas_files/figure-html/unnamed-chunk-39-1.png" width="750px" height="500px" /> --- # Myrtle Creek UGB Pop Forecast <img src="Douglas_files/figure-html/unnamed-chunk-40-1.png" width="750px" height="500px" /> --- class: city # Douglas UGBs: Oakland in Context .pux-right[ <img src="Douglas_files/figure-html/unnamed-chunk-41-1.png" width="800px" height="400px" /> ] .pux-left[ <table> <thead> <tr> <th style="text-align:left;"> Metric </th> <th style="text-align:left;"> 1980 </th> <th style="text-align:left;"> 2000 </th> <th style="text-align:left;"> 2020 </th> </tr> </thead> <tbody> <tr> <td style="text-align:left;"> Pop 65+ </td> <td style="text-align:left;"> 15.69% </td> <td style="text-align:left;"> 15.09% </td> <td style="text-align:left;"> 33.19% </td> </tr> <tr> <td style="text-align:left;"> Housing Units </td> <td style="text-align:left;"> 350 </td> <td style="text-align:left;"> 404 </td> <td style="text-align:left;"> 413 </td> </tr> <tr> <td style="text-align:left;"> Housing Occupancy </td> <td style="text-align:left;"> 92.57% </td> <td style="text-align:left;"> 93.32% </td> <td style="text-align:left;"> 88.62% </td> </tr> <tr> <td style="text-align:left;"> Persons Per Household </td> <td style="text-align:left;"> 2.73 </td> <td style="text-align:left;"> 2.53 </td> <td style="text-align:left;"> 2.55 </td> </tr> <tr> <td style="text-align:left;"> Household Income </td> <td style="text-align:left;"> $15,469 </td> <td style="text-align:left;"> $29,479 </td> <td style="text-align:left;"> $60,909 </td> </tr> <tr> <td style="text-align:left;"> Employment Rate </td> <td style="text-align:left;"> 82.61% </td> <td style="text-align:left;"> 91.53% </td> <td style="text-align:left;"> 84.85% </td> </tr> </tbody> </table> ] --- # Douglas County: Oakland UGB Boundaries
--- # Oakland UGB Pop Forecast <img src="Douglas_files/figure-html/unnamed-chunk-44-1.png" width="750px" height="500px" /> --- # Oakland UGB Pop Forecast <img src="Douglas_files/figure-html/unnamed-chunk-45-1.png" width="750px" height="500px" /> --- class: city # Douglas UGBs: Reedsport in Context .pux-right[ <img src="Douglas_files/figure-html/unnamed-chunk-46-1.png" width="800px" height="400px" /> ] .pux-left[ <table> <thead> <tr> <th style="text-align:left;"> Metric </th> <th style="text-align:left;"> 1980 </th> <th style="text-align:left;"> 2000 </th> <th style="text-align:left;"> 2020 </th> </tr> </thead> <tbody> <tr> <td style="text-align:left;"> Pop 65+ </td> <td style="text-align:left;"> 12.90% </td> <td style="text-align:left;"> 26.15% </td> <td style="text-align:left;"> 31.35% </td> </tr> <tr> <td style="text-align:left;"> Housing Units </td> <td style="text-align:left;"> 1,985 </td> <td style="text-align:left;"> 2,178 </td> <td style="text-align:left;"> 2,183 </td> </tr> <tr> <td style="text-align:left;"> Housing Occupancy </td> <td style="text-align:left;"> 94.21% </td> <td style="text-align:left;"> 90.82% </td> <td style="text-align:left;"> 89.51% </td> </tr> <tr> <td style="text-align:left;"> Persons Per Household </td> <td style="text-align:left;"> 2.65 </td> <td style="text-align:left;"> 2.19 </td> <td style="text-align:left;"> 2.20 </td> </tr> <tr> <td style="text-align:left;"> Household Income </td> <td style="text-align:left;"> $17,300 </td> <td style="text-align:left;"> $26,054 </td> <td style="text-align:left;"> $48,329 </td> </tr> <tr> <td style="text-align:left;"> Employment Rate </td> <td style="text-align:left;"> 93.23% </td> <td style="text-align:left;"> 89.98% </td> <td style="text-align:left;"> 98.70% </td> </tr> </tbody> </table> ] --- # Douglas County: Reedsport UGB Boundaries
--- # Reedsport UGB Pop Forecast <img src="Douglas_files/figure-html/unnamed-chunk-49-1.png" width="750px" height="500px" /> --- # Reedsport UGB Pop Forecast <img src="Douglas_files/figure-html/unnamed-chunk-50-1.png" width="750px" height="500px" /> --- class: city # Douglas UGBs: Riddle in Context .pux-right[ <img src="Douglas_files/figure-html/unnamed-chunk-51-1.png" width="800px" height="400px" /> ] .pux-left[ <table> <thead> <tr> <th style="text-align:left;"> Metric </th> <th style="text-align:left;"> 1980 </th> <th style="text-align:left;"> 2000 </th> <th style="text-align:left;"> 2020 </th> </tr> </thead> <tbody> <tr> <td style="text-align:left;"> Pop 65+ </td> <td style="text-align:left;"> 7.11% </td> <td style="text-align:left;"> 11.93% </td> <td style="text-align:left;"> 14.50% </td> </tr> <tr> <td style="text-align:left;"> Housing Units </td> <td style="text-align:left;"> 476 </td> <td style="text-align:left;"> 406 </td> <td style="text-align:left;"> 522 </td> </tr> <tr> <td style="text-align:left;"> Housing Occupancy </td> <td style="text-align:left;"> 93.28% </td> <td style="text-align:left;"> 93.84% </td> <td style="text-align:left;"> 93.49% </td> </tr> <tr> <td style="text-align:left;"> Persons Per Household </td> <td style="text-align:left;"> 2.85 </td> <td style="text-align:left;"> 2.66 </td> <td style="text-align:left;"> 2.49 </td> </tr> <tr> <td style="text-align:left;"> Household Income </td> <td style="text-align:left;"> $16,429 </td> <td style="text-align:left;"> $28,750 </td> <td style="text-align:left;"> $60,121 </td> </tr> <tr> <td style="text-align:left;"> Employment Rate </td> <td style="text-align:left;"> 89.02% </td> <td style="text-align:left;"> 84.47% </td> <td style="text-align:left;"> 91.75% </td> </tr> </tbody> </table> ] --- # Douglas County: Riddle UGB Boundaries
--- # Riddle UGB Pop Forecast <img src="Douglas_files/figure-html/unnamed-chunk-54-1.png" width="750px" height="500px" /> --- # Riddle UGB Pop Forecast <img src="Douglas_files/figure-html/unnamed-chunk-55-1.png" width="750px" height="500px" /> --- class: city # Douglas UGBs: Roseburg in Context .pux-right[ <img src="Douglas_files/figure-html/unnamed-chunk-56-1.png" width="800px" height="400px" /> ] .pux-left[ <table> <thead> <tr> <th style="text-align:left;"> Metric </th> <th style="text-align:left;"> 1980 </th> <th style="text-align:left;"> 2000 </th> <th style="text-align:left;"> 2020 </th> </tr> </thead> <tbody> <tr> <td style="text-align:left;"> Pop 65+ </td> <td style="text-align:left;"> 14.98% </td> <td style="text-align:left;"> 18.93% </td> <td style="text-align:left;"> 20.34% </td> </tr> <tr> <td style="text-align:left;"> Housing Units </td> <td style="text-align:left;"> 6,733 </td> <td style="text-align:left;"> 8,838 </td> <td style="text-align:left;"> 10,642 </td> </tr> <tr> <td style="text-align:left;"> Housing Occupancy </td> <td style="text-align:left;"> 95.14% </td> <td style="text-align:left;"> 93.20% </td> <td style="text-align:left;"> 93.60% </td> </tr> <tr> <td style="text-align:left;"> Persons Per Household </td> <td style="text-align:left;"> 2.48 </td> <td style="text-align:left;"> 2.32 </td> <td style="text-align:left;"> 2.27 </td> </tr> <tr> <td style="text-align:left;"> Household Income </td> <td style="text-align:left;"> $16,267 </td> <td style="text-align:left;"> $31,250 </td> <td style="text-align:left;"> $50,297 </td> </tr> <tr> <td style="text-align:left;"> Employment Rate </td> <td style="text-align:left;"> 89.66% </td> <td style="text-align:left;"> 92.83% </td> <td style="text-align:left;"> 95.02% </td> </tr> </tbody> </table> ] --- # Douglas County: Roseburg UGB Boundaries
--- # Roseburg UGB Pop Forecast <img src="Douglas_files/figure-html/unnamed-chunk-59-1.png" width="750px" height="500px" /> --- # Roseburg UGB Pop Forecast <img src="Douglas_files/figure-html/unnamed-chunk-60-1.png" width="750px" height="500px" /> --- class: city # Douglas UGBs: Sutherlin in Context .pux-right[ <img src="Douglas_files/figure-html/unnamed-chunk-61-1.png" width="800px" height="400px" /> ] .pux-left[ <table> <thead> <tr> <th style="text-align:left;"> Metric </th> <th style="text-align:left;"> 1980 </th> <th style="text-align:left;"> 2000 </th> <th style="text-align:left;"> 2020 </th> </tr> </thead> <tbody> <tr> <td style="text-align:left;"> Pop 65+ </td> <td style="text-align:left;"> 10.00% </td> <td style="text-align:left;"> 21.29% </td> <td style="text-align:left;"> 25.99% </td> </tr> <tr> <td style="text-align:left;"> Housing Units </td> <td style="text-align:left;"> 1,716 </td> <td style="text-align:left;"> 2,975 </td> <td style="text-align:left;"> 3,730 </td> </tr> <tr> <td style="text-align:left;"> Housing Occupancy </td> <td style="text-align:left;"> 93.24% </td> <td style="text-align:left;"> 91.19% </td> <td style="text-align:left;"> 94.18% </td> </tr> <tr> <td style="text-align:left;"> Persons Per Household </td> <td style="text-align:left;"> 2.85 </td> <td style="text-align:left;"> 2.46 </td> <td style="text-align:left;"> 2.41 </td> </tr> <tr> <td style="text-align:left;"> Household Income </td> <td style="text-align:left;"> $14,770 </td> <td style="text-align:left;"> $29,068 </td> <td style="text-align:left;"> $48,610 </td> </tr> <tr> <td style="text-align:left;"> Employment Rate </td> <td style="text-align:left;"> 87.27% </td> <td style="text-align:left;"> 92.03% </td> <td style="text-align:left;"> 94.29% </td> </tr> </tbody> </table> ] --- # Douglas County: Sutherlin UGB Boundaries
--- # Sutherlin UGB Pop Forecast <img src="Douglas_files/figure-html/unnamed-chunk-64-1.png" width="750px" height="500px" /> --- # Sutherlin UGB Pop Forecast <img src="Douglas_files/figure-html/unnamed-chunk-65-1.png" width="750px" height="500px" /> --- class: city # Douglas UGBs: Winston in Context .pux-right[ <img src="Douglas_files/figure-html/unnamed-chunk-66-1.png" width="800px" height="400px" /> ] .pux-left[ <table> <thead> <tr> <th style="text-align:left;"> Metric </th> <th style="text-align:left;"> 1980 </th> <th style="text-align:left;"> 2000 </th> <th style="text-align:left;"> 2020 </th> </tr> </thead> <tbody> <tr> <td style="text-align:left;"> Pop 65+ </td> <td style="text-align:left;"> 8.48% </td> <td style="text-align:left;"> 14.22% </td> <td style="text-align:left;"> 22.77% </td> </tr> <tr> <td style="text-align:left;"> Housing Units </td> <td style="text-align:left;"> 1,240 </td> <td style="text-align:left;"> 1,892 </td> <td style="text-align:left;"> 2,384 </td> </tr> <tr> <td style="text-align:left;"> Housing Occupancy </td> <td style="text-align:left;"> 94.19% </td> <td style="text-align:left;"> 92.65% </td> <td style="text-align:left;"> 95.64% </td> </tr> <tr> <td style="text-align:left;"> Persons Per Household </td> <td style="text-align:left;"> 2.88 </td> <td style="text-align:left;"> 2.61 </td> <td style="text-align:left;"> 2.46 </td> </tr> <tr> <td style="text-align:left;"> Household Income </td> <td style="text-align:left;"> $15,596 </td> <td style="text-align:left;"> $28,939 </td> <td style="text-align:left;"> $51,182 </td> </tr> <tr> <td style="text-align:left;"> Employment Rate </td> <td style="text-align:left;"> 86.72% </td> <td style="text-align:left;"> 92.06% </td> <td style="text-align:left;"> 97.19% </td> </tr> </tbody> </table> ] --- # Douglas County: Winston UGB Boundaries
--- # Winston UGB Pop Forecast <img src="Douglas_files/figure-html/unnamed-chunk-69-1.png" width="750px" height="500px" /> --- # Winston UGB Pop Forecast <img src="Douglas_files/figure-html/unnamed-chunk-70-1.png" width="750px" height="500px" /> --- class: city # Douglas UGBs: Yoncalla in Context .pux-right[ <img src="Douglas_files/figure-html/unnamed-chunk-71-1.png" width="800px" height="400px" /> ] .pux-left[ <table> <thead> <tr> <th style="text-align:left;"> Metric </th> <th style="text-align:left;"> 1980 </th> <th style="text-align:left;"> 2000 </th> <th style="text-align:left;"> 2020 </th> </tr> </thead> <tbody> <tr> <td style="text-align:left;"> Pop 65+ </td> <td style="text-align:left;"> 16.02% </td> <td style="text-align:left;"> 16.25% </td> <td style="text-align:left;"> 32.81% </td> </tr> <tr> <td style="text-align:left;"> Housing Units </td> <td style="text-align:left;"> 323 </td> <td style="text-align:left;"> 437 </td> <td style="text-align:left;"> 467 </td> </tr> <tr> <td style="text-align:left;"> Housing Occupancy </td> <td style="text-align:left;"> 94.74% </td> <td style="text-align:left;"> 93.59% </td> <td style="text-align:left;"> 88.65% </td> </tr> <tr> <td style="text-align:left;"> Persons Per Household </td> <td style="text-align:left;"> 2.63 </td> <td style="text-align:left;"> 2.56 </td> <td style="text-align:left;"> 2.45 </td> </tr> <tr> <td style="text-align:left;"> Household Income </td> <td style="text-align:left;"> $13,015 </td> <td style="text-align:left;"> $26,625 </td> <td style="text-align:left;"> $50,234 </td> </tr> <tr> <td style="text-align:left;"> Employment Rate </td> <td style="text-align:left;"> 82.61% </td> <td style="text-align:left;"> 93.14% </td> <td style="text-align:left;"> 86.64% </td> </tr> </tbody> </table> ] --- # Douglas County: Yoncalla UGB Boundaries
--- # Yoncalla UGB Pop Forecast <img src="Douglas_files/figure-html/unnamed-chunk-74-1.png" width="750px" height="500px" /> --- # Yoncalla UGB Pop Forecast <img src="Douglas_files/figure-html/unnamed-chunk-75-1.png" width="750px" height="500px" /> --- class: center # Comments or Questions? ## Contact PSUPRC Email: [askprc@pdx.edu](mailto:askprc@pdx.edu) Telephone: 503-725-3922 ## Proposal Population Projections https://www.pdx.edu/population-research/population-forecasts