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• 1. [Article] Talent on the Move: Migration Patterns of the Young and College-Educated in Pre and Post-Recession America - Migration Trends Across the 50 Largest U.S. Metros

  In this brief, we present U.S. Census Bureau data to compare recent migration trends for young and college-educated (YCE) individuals for the largest 50 U.S. metro areas in 2012-2014 relative to the pre-recession ...

  Citation × Citation Citation Abstract Copy Title: Talent on the Move: Migration Patterns of the Young and College-Educated in Pre and Post-Recession America - Migration Trends Across the 50 Largest U.S. Metros Author: Jurjevich, Jason R., Schrock, Greg, Kang, Jihye Year: 2016 In this brief, we present U.S. Census Bureau data to compare recent migration trends for young and college-educated (YCE) individuals for the largest 50 U.S. metro areas in 2012-2014 relative to the pre-recession (2005-2007) and Great Recession (2008-2010) periods. Title: Talent on the Move: Migration Patterns of the Young and College-Educated in Pre and Post-Recession America - Migration Trends Across the 50 Largest U.S. Metros Author: Jurjevich, Jason R., Schrock, Greg, Kang, Jihye Year: 2016 In this brief, we present U.S. Census Bureau data to compare recent migration trends for young and college-educated (YCE) individuals for the largest 50 U.S. metro areas in 2012-2014 relative to the pre-recession (2005-2007) and Great Recession (2008-2010) periods. Close

• 2. [Article] Destination Portland: Post-Great Recession Migration Trends in the Rose City Region

  This report explores how individuals decide to move to Portland, why they stay and how the region’s growth challenges might introduce costs that disproportionately burden people of color and young people ...

  Citation × Citation Citation Abstract Copy Title: Destination Portland: Post-Great Recession Migration Trends in the Rose City Region Author: Jurjevich, Jason R., Schrock, Greg, Kang, Jihye Year: 2017 This report explores how individuals decide to move to Portland, why they stay and how the region’s growth challenges might introduce costs that disproportionately burden people of color and young people of lower socioeconomic status. Title: Destination Portland: Post-Great Recession Migration Trends in the Rose City Region Author: Jurjevich, Jason R., Schrock, Greg, Kang, Jihye Year: 2017 This report explores how individuals decide to move to Portland, why they stay and how the region’s growth challenges might introduce costs that disproportionately burden people of color and young people of lower socioeconomic status. Close

• 3. [Article] Talent on the Move: Migration Patterns of the Young and College-Educated in Pre and Post-Recession America – Migration Trends Across the Largest Western Metros

  In the West, Seattle recorded the largest NMQ gain of YCEs (31.6 percent), followed by San Francisco (28.5 percent), Portland (26.3 percent), and San Jose (26.1 percent). During the Great Recession, as ...

  Citation × Citation Citation Abstract Copy Title: Talent on the Move: Migration Patterns of the Young and College-Educated in Pre and Post-Recession America – Migration Trends Across the Largest Western Metros Author: Jurjevich, Jason R., Schrock, Greg, Kang, Jihye Year: 2016 In the West, Seattle recorded the largest NMQ gain of YCEs (31.6 percent), followed by San Francisco (28.5 percent), Portland (26.3 percent), and San Jose (26.1 percent). During the Great Recession, as well as the post-recession recovery period, only four metros outpaced the West’s regional gain in YCE net-migration: 1) Phoenix, 2) Denver, 3) San Francisco, 4) San Jose Title: Talent on the Move: Migration Patterns of the Young and College-Educated in Pre and Post-Recession America – Migration Trends Across the Largest Western Metros Author: Jurjevich, Jason R., Schrock, Greg, Kang, Jihye Year: 2016 In the West, Seattle recorded the largest NMQ gain of YCEs (31.6 percent), followed by San Francisco (28.5 percent), Portland (26.3 percent), and San Jose (26.1 percent). During the Great Recession, as well as the post-recession recovery period, only four metros outpaced the West’s regional gain in YCE net-migration: 1) Phoenix, 2) Denver, 3) San Francisco, 4) San Jose Close

• 4. [Article] Talent on the Move: Migration Patterns of the Young and College-Educated in Pre and Post-Recession America – Migration Trends Across the Largest Southern Metros

  In 2012-2014, the South recorded the largest gain of YCE net in-migration, among its large metros, of any region at 138,000. What’s more, the only metros to post NMQ values above 30 were both in the South—Houston ...

  Citation × Citation Citation Abstract Copy Title: Talent on the Move: Migration Patterns of the Young and College-Educated in Pre and Post-Recession America – Migration Trends Across the Largest Southern Metros Author: Jurjevich, Jason R., Schrock, Greg, Kang, Jihye Year: 2016 In 2012-2014, the South recorded the largest gain of YCE net in-migration, among its large metros, of any region at 138,000. What’s more, the only metros to post NMQ values above 30 were both in the South—Houston (36.9 percent) followed by Austin (35 percent). While most large Southern metros posted robust gains in net in-migration of YCEs between the two periods, Louisville (-18.7 percent), Baltimore, (-9.4 percent), San Antonio (-8.2 percent), Dallas/Ft. Worth (-5.5 percent), and Tampa (-1.5 percent) all recorded NMQ declines in net in-migration of YCEs. Title: Talent on the Move: Migration Patterns of the Young and College-Educated in Pre and Post-Recession America – Migration Trends Across the Largest Southern Metros Author: Jurjevich, Jason R., Schrock, Greg, Kang, Jihye Year: 2016 In 2012-2014, the South recorded the largest gain of YCE net in-migration, among its large metros, of any region at 138,000. What’s more, the only metros to post NMQ values above 30 were both in the South—Houston (36.9 percent) followed by Austin (35 percent). While most large Southern metros posted robust gains in net in-migration of YCEs between the two periods, Louisville (-18.7 percent), Baltimore, (-9.4 percent), San Antonio (-8.2 percent), Dallas/Ft. Worth (-5.5 percent), and Tampa (-1.5 percent) all recorded NMQ declines in net in-migration of YCEs. Close

• 5. [Article] Talent on the Move: Migration Patterns of the Young and College-Educated in Pre and Post-Recession America – Migration Trends Across the Largest Northeastern Metros

  In the most recent period, 2012-2014, the Northeast’s largest metro areas attracted and retained roughly 31,000 YCE migrants. However, this represents 9,000 fewer migrants compared to the Great Recession ...

  Citation × Citation Citation Abstract Copy Title: Talent on the Move: Migration Patterns of the Young and College-Educated in Pre and Post-Recession America – Migration Trends Across the Largest Northeastern Metros Author: Jurjevich, Jason R., Schrock, Greg, Kang, Jihye Year: 2016 In the most recent period, 2012-2014, the Northeast’s largest metro areas attracted and retained roughly 31,000 YCE migrants. However, this represents 9,000 fewer migrants compared to the Great Recession period— the Northeast is the only region to post a decline in net in/migration of YCEs between 2008-2010 and 2012-2014. All Northeastern metros experienced a decline or a very marginal gain in NMQ values between the two periods, except for Philadelphia, which posted more than a 2,000 gain in net YCE in-migration. In the end however, Boston and Pittsburgh remain the region's two most productive cities for attracting retaining and retaining young, mobile talent. Title: Talent on the Move: Migration Patterns of the Young and College-Educated in Pre and Post-Recession America – Migration Trends Across the Largest Northeastern Metros Author: Jurjevich, Jason R., Schrock, Greg, Kang, Jihye Year: 2016 In the most recent period, 2012-2014, the Northeast’s largest metro areas attracted and retained roughly 31,000 YCE migrants. However, this represents 9,000 fewer migrants compared to the Great Recession period— the Northeast is the only region to post a decline in net in/migration of YCEs between 2008-2010 and 2012-2014. All Northeastern metros experienced a decline or a very marginal gain in NMQ values between the two periods, except for Philadelphia, which posted more than a 2,000 gain in net YCE in-migration. In the end however, Boston and Pittsburgh remain the region's two most productive cities for attracting retaining and retaining young, mobile talent. Close

• 6. [Article] Talent on the Move: Migration Patterns of the Young and College-Educated in Pre and Post-Recession America – Migration Trends Across the Largest Midwestern Metros

  In the most recent period, 2012-2014, the Midwest’s largest metro areas attracted and retained almost 37,000 YCE migrants, which is almost double the number during the Great Recession period. Although ...

  Citation × Citation Citation Abstract Copy Title: Talent on the Move: Migration Patterns of the Young and College-Educated in Pre and Post-Recession America – Migration Trends Across the Largest Midwestern Metros Author: Jurjevich, Jason R., Schrock, Greg, Kang, Jihye Year: 2016 In the most recent period, 2012-2014, the Midwest’s largest metro areas attracted and retained almost 37,000 YCE migrants, which is almost double the number during the Great Recession period. Although the region’s largest city, Chicago, recorded the largest net in/migration of YCEs (11,033) in 2012-2014, Kansas City recorded the highest NMQ of YCEs (18.6 percent), followed by Columbus, OH (18.5 percent) and Detroit (16.4 percent). Detroit’s turnaround is particularly noteworthy; the Motor City metro posted the second highest change in NMQ values between the two periods (second only to Birmingham). Two metros reported a net out/migration of YCEs, one being Buffalo (-14.5 percent), and the other being Milwaukee (-7.0 percent). Title: Talent on the Move: Migration Patterns of the Young and College-Educated in Pre and Post-Recession America – Migration Trends Across the Largest Midwestern Metros Author: Jurjevich, Jason R., Schrock, Greg, Kang, Jihye Year: 2016 In the most recent period, 2012-2014, the Midwest’s largest metro areas attracted and retained almost 37,000 YCE migrants, which is almost double the number during the Great Recession period. Although the region’s largest city, Chicago, recorded the largest net in/migration of YCEs (11,033) in 2012-2014, Kansas City recorded the highest NMQ of YCEs (18.6 percent), followed by Columbus, OH (18.5 percent) and Detroit (16.4 percent). Detroit’s turnaround is particularly noteworthy; the Motor City metro posted the second highest change in NMQ values between the two periods (second only to Birmingham). Two metros reported a net out/migration of YCEs, one being Buffalo (-14.5 percent), and the other being Milwaukee (-7.0 percent). Close

• 7. [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

• 8. [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

• 9. [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

• 10. [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