Virginia Beach Housing: Needs and Market Analysis Re-investment - - PowerPoint PPT Presentation

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Virginia Beach Housing: Needs and Market Analysis Re-investment - - PowerPoint PPT Presentation

Virginia Beach Housing: Needs and Market Analysis Re-investment Strategy Virginia Center for Housing Research, Virginia Tech: Mel Jones, Spencer Shanholtz czb, LLC: Charles Buki, Karen Beck-Pooley Agenda Presentation (15-20 min) Study


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SLIDE 1

Virginia Beach Housing:

Needs and Market Analysis Re-investment Strategy

Virginia Center for Housing Research, Virginia Tech: Mel Jones, Spencer Shanholtz czb, LLC: Charles Buki, Karen Beck-Pooley

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SLIDE 2

Agenda

  • Presentation (15-20 min)
  • Study overview
  • Preliminary findings & analysis
  • Questions
  • Facilitated Discussion (40-45 min)
  • Your experience
  • Your ideas
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SLIDE 3

Components of the Study

  • Housing Needs and Market Analysis
  • Housing supply: age, type, value/rent/affordability, size and location.
  • Housing needs and demand: income, family type, number of household members,

households with children, seniors, millennials, people with disabilities, etc.

  • Market dynamics: building trends and absorption, home sales, vacancy rates, and

demand projections.

  • Housing Re-investment Study
  • Neighborhood-level analysis of housing conditions and markets.
  • Analysis of information from key informants: City staff, realtors, developers, property

managers, etc.

  • Analysis of plans, policies, practices and regulations.
  • Strategy development and recommendations.
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SLIDE 4

Data

  • Local data
  • Sales data
  • Real-estate assessment data
  • Building permit data
  • Publicly available data
  • U.S. Census, American Community Survey data
  • U.S. Census, Survey of Construction data
  • U.S. Bureau of Labor Statistics workforce data
  • Focus group, interview and survey data
  • Case-studies
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SLIDE 5

Stakeholder Engagement

  • City Staff
  • Housing & Neighborhood Preservation
  • Planning
  • Code Enforcement
  • Town Council
  • Management Services
  • Local Experts
  • Realtors
  • Property Managers
  • Builders/developers
  • BEACH Governing Board
  • Workforce Housing Advisory Board
  • Virginia Beach Residents
  • Public Meeting Focus Groups
  • Survey
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SLIDE 6

Population and Household Trends

158000 159000 160000 161000 162000 163000 164000 165000 166000 167000 168000 415000 420000 425000 430000 435000 440000 445000 450000 455000 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 Number of Households Number of People

Population and Number of Households

Total Population Total Households

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SLIDE 7

Population and Household Trends

2014 CHANGE 2005-2014 % CHANGE

TOTAL POPULATION 451,227

22,388

5.2% < 18 102,929

  • 12,690
  • 11.0%

18-34 (MILLENIALS) 120,938

21,090

21.1% 35-49 (GENERATION X) 87,139

  • 19,196
  • 18.1%

50-69 (BABY BOOMERS) 104,367

24,013

29.9% >70 35,854

9,171

34.4% TOTAL HOUSEHOLDS 167,009

5,377

3.3% 18-34 (MILLENIALS) 40229

4,194

11.6% 35-49 (GENERATION X) 46536

  • 13,207
  • 22.1%

50-69 (BABY BOOMERS) 57748

9,942

20.8% >70 22496

4,448

24.6%

  • Virginia Beach is young,

compared to the region and the rest of the state

  • Virginia Beach is attractive

to Baby Boomers, but less so to households headed by people 35-49.

  • Virginia Beach is aging as

Baby Boomers get older, and households live independently longer.

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SLIDE 8

Housing Market Indicators: Home Sales

2005, Height of the Housing Bubble 2008, Recession 2015, New Normal? 950 1,150 1,350 1,550 1,750 1,950 2,150 2,350 2,550 Q1 Q2 Q3 Q4 2005, Height of the Housing Bubble 2006 2008, Recession 2010, Bottom of Recessionary Effects 2011 2013, Recovery 2014 2015, New Normal?

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SLIDE 9

Housing Market Indicators: Building

500 1000 1500 2000 2500 3000 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 NA

Single Family Permits Issued by Year by Number of Bedrooms

1 2 3 4 5+

  • Household formation/in-migration

slowed between 2010 and 2014

  • Builder confidence and access to credit

for SF development remains low nationally

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SLIDE 10

Housing Market Indicators: Vacancy

1 2 3 4 5 6 7 2009 2010 2011 2012 2013 2014 Vacancy Rates by Occupancy Homeowner vacancy rate Rental vacancy rate

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SLIDE 11

Implications for Virginia Beach

  • A strong market has persisted through the recession in part because
  • f the
  • Large, strong middle class
  • Military investment
  • Good City management
  • Market strength may threaten the city’s green line
  • Simultaneously, shifts in demand may threaten the market (more to

come).

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SLIDE 12

Housing Stock

5,379 10,036 19,894 36,876 47,788 22,537 19,587 3,317

  • 10,000

20,000 30,000 40,000 50,000 60,000 Before 1950* 1950-1959 1960-1969 1970-1979 1980-1989 1990-1999 2000-2009 2011 or later

1970- 1979 1980- 1989 Housing Units by Year Built

Before 1950* 1950-1959 1960-1969 1970-1979 1980-1989 1990-1999 2000-2009 2011 or later

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SLIDE 13

Housing Re-investment & Redevelopment

  • A large percentage of the housing stock that was very marketable in the

1960s and 1970s is somewhat “stale” today, leaving a number of areas simultaneously vulnerable to a downturn and ripe for redevelopment.

  • From 1965-1995 a large supply of single-family homes on large lots was

ideal for a large cohort of middle-class Boomer buyers.

  • Today that stock has become a high-risk mismatch, since an even larger

generation of Millennials are less interested in the tens of thousands 50- year-old ranch houses and 30-year-old townhomes that dominate so much

  • f Virginia Beach.
  • Targeted re-development and increased density in Strategic Growth Areas

could refresh aging, stale neighborhoods, raising market values and create

  • pportunities for more workforce housing and housing appealing to

young, recent-college graduates.

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SLIDE 14

Housing Affordability: Cost Burden

  • 10,000

20,000 30,000 40,000 50,000 60,000 Low Income Moderate Income Housing Cost Burden by Income Level Severly Cost-burdened Cost-burdened Not Cost Burdend

  • Low-income household are

somewhat more likely to rent.

  • Moderate income households

are somewhat more likely to

  • wn their home.
  • Moderate-income owners are

disproportionately cost

  • burdened. 63% of moderate-

income, cost-burdened households are owners, while

  • nly 56% of all moderate-

income households are owners.

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SLIDE 15

Housing Affordability: Selected Occupations

Occupation Employment Median Wage Median Annual Earnings Affordable Housing Cost Retail Salespersons 28,580 $9.47 $19,700 $492/mo. Cashiers 22,410 $8.80 $18,300 $457/mo. Combined Food Preparation and Serving Workers Including Fast Food 21,570 $8.86 $18,420 $460/mo. Office Clerks General 16,540 $13.56 $28,200 $705/mo. Registered Nurses 13,700 $29.50 $61,350 $1,533/mo. Waiters and Waitresses 13,560 $10.42 $21,680 $542/mo. Customer Service Representatives 12,960 $13.94 $29,000 $725/mo. Janitors and Cleaners Except Maids and Housekeeping Cleaners 11,870 $10.57 $21,990 $549/mo. Stock Clerks and Order Fillers 11,500 $11.31 $23,530 $588/mo. General and Operations Managers 9,190 $50.70 $105,460 $2,636/mo.

Top 10 Occupations by Employment

  • With median house prices

above $260,000 and median gross rent more than $1,200, Virginia Beach is roughly a $22/hr housing market for renters and a $38/hr market for buyers.

  • A large portion of the
  • therwise diverse Virginia

Beach economy is tourist based, heavily reliant on jobs that pay less than $10/hr.

  • 8 out of top 10 occupations cannot afford the median rent ($1,200) in Virginia Beach, even when earning

in the 90th percentile.

  • Employees in occupations highlighted in dark orange, earning at the median could not afford the median

rent if shared with another person with equivalent earnings.

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SLIDE 16

Housing Affordability Gap Analysis, Owners

5000 10000 15000 20000 25000 30000 35000 Households with Income <= 50%

  • f AMI

Stock affordable to households with income <= 50% of AMI Households with income 50%- 80% of AMI Stock affordable to households with income 50%-80% of AMI Households with income 80-100%

  • f AMI

Stock affordable to households with income 80%-100% of AMI

Households that are not cost burdened Cost Burdened Households Units Occupied by Owners with Household Income > Affordability Income Range Units Occupied by Owners within Affordability Income Range Units Occupied by Owners with Household Income < Affordability Income Range Vacant

Gap = 7,500 Gap = 7,950 Gap = 5,360

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SLIDE 17

Housing Affordability Gap Analysis, Renters

5000 10000 15000 20000 25000 30000 Households with Income <= 30% of AMI Stock affordable to households with income <= 30% of AMI Households with income 30%-50% of AMI Stock affordable to households with income 30%-50% of AMI Households with income 50%-80% of AMI Stock affordable to households with income 50%-80% of AMI

Households that are not cost burdened Cost Burdened Households Units Occupied by Renters with Household Income > Affordability Income Range Units Occupied by Renters within Affordability Income Range Units Occupied by Renters with Household Income < Affordability Income Range Vacant

Gap = 5,430 Gap = 5,830 Gap = 9,705

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SLIDE 18

2014 HUD Income Limits

1-Person Household 2-person Household 3-person Household 4-person Household 30% of AMI $14,850 $17,000 $19,790 $23,850 50% of AMI $24,750 $28,250 $31,800 $35,300 80% of AMI $39,550 $45,200 $50,850 $56,500 100% of AMI $49,450 $56,500 $63,550 $70,600

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SLIDE 19

Sources

  • 2014 American Community Survey 1-year Estimates, Public Use

Microdata and published tables

  • 2009-2013 Consolidated Housing Affordability Strategy 5-year

Estimates

  • 2014 & 2015 Bureau of Labor Statistics data
  • Hampton Roads Association of Realtors MLS data for the City of

Virginia Beach

  • City of Virginia Beach building permit data
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SLIDE 20

Discussion Guidelines

Do your best to share the ‘mic’; let’s try to hear from everyone in the group. Please speak from your own experience. Because we have a short time to cover many questions, try to avoid repeating; build on previous comments or identify new thoughts to contribute. Help the leader uphold these discussion guidelines.

Mel Jones, e-mail Mel.Jones@vt.edu, phone 540-231-3993