Housing Highlights

7/23/2019 Housing Highlights

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SEPTEMBER, 2015


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HOUSING HIGHLIGHTS

FROM THE 2014 ACS

Jed Kolko

Senior Fellow

T E R N E R C E N T E R F O R H O U S I N G I N N O V A T I O N U C B E R K E L E Y SEPTEMBER, 2015


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Housing highlights from the 2014 ACS 3

1. Homeownership and household formation

2. Housing costs

3. Vacancy rates

4. Appendix: ACS vs HVS

5. About the data

SEPTEMBER, 2015T E R N E R C E N T E R F O R H O U S I N G I N N O V A T I O N U C B E R K E L E Y


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The homeownership rate continues to

slide

4

66.9%67.3% 67.2%

66.6%

65.9%

65.4%

64.6%

63.9%63.5%

63.1%

61%

62%

63%

64%

65%

66%

67%

68%

2005 2006 2007 2008 2009 2010 2011 2012 2013 2014

Homeownership rate



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Homeownership higher in Midwest, lower

in big coastal metros

5

Homeownership rate, 2014, large metrosHIGHEST

1 Minneapolis-St. Paul-Bloomington, MN-WI 69.9%

2 Pittsburgh, PA 69.3%

3 St. Louis, MO-IL 68.7%

4 Detroit-Warren-Dearborn, MI 68.0%

5 Birmingham-Hoover, AL 67.5%

LOWEST

1 Los Angeles-Long Beach-Anaheim, CA 48.3%

2 Las Vegas-Henderson-Paradise, NV 50.3%3 New York-Newark-Jersey City, NY-NJ-PA 50.7%

4 San Diego-Carlsbad, CA 52.2%

5 San Francisco-Oakland-Hayward, CA 53.2%



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All growth in occupied housing units

since 2006 has been in rentals

6


2006

(millions)

2014

(millions)

Change,

2006-2014

(millions)

Change,

2006-2014

(%)

Single-family owner-occupied 65.5 65.2 -0.3 -0.4%

Single-family renter-occupied 11.3 15.2 +3.9 +34%

Multi-unit owner-occupied 4.2 4.0 -0.2 -6%

Multi-unit renter-occupied 23.4 26.1 +2.7 +12%

All occupied housing units

(includes other housing types)

111.6 117.3 +5.6 +5%


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In past year, more of all housing types;

but single-family rentals still lead

7

0.3%

0.8%

1.8%

2.1%

0.0% 0.5% 1.0% 1.5% 2.0% 2.5%

Single-family, owned

Multi-unit, owned

Multi-unit, rented

Single-family, rented

Change in occupied housing units, by type

2013-2014



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No slowdown in single-family rentals 8

13.2% 13.1%13.4%

14.0%

14.8%15.1%

15.7%

16.4%16.7%

17.0%

12.0%

13.0%

14.0%

15.0%

16.0%

17.0%

18.0%

2005 2006 2007 2008 2009 2010 2011 2012 2013 2014

Rental share of occupied single-family detachedhomes



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Finally, after several years, an increase in

owner-occupied single-family homes

9

64.7

65.5

66.0 66.0

65.6

65.8

65.365.2

65.165.2

64.0

64.5

65.0

65.5

66.0

66.5

2005 2006 2007 2008 2009 2010 2011 2012 2013 2014

Owner-occupied single-family homes (millions)



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Household formation volatile but remains

consistently below 1.2m normal level

10

527

761 723

515

951

424

978

321

968

0

200

400

600

800

1,000

1,200

2006 2007 2008 2009 2010 2011 2012 2013 2014

Household formation(change in # of occupied housing units, 000s)



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2. Housing costs3. Vacancy rates


5. About the data



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Overall housing cost burden at post-

bubble low

12

35.0%

36.3% 36.3%

36.7%

37.3%

38.1% 37.9%

36.0%

34.8% 34.6%

32%

33%

34%

35%

36%

37%

38%

39%

2005 2006 2007 2008 2009 2010 2011 2012 2013 2014

% of all households spending 30% or more of

income on housing



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Almost half of LA & Miami households are

cost-burdened

13

% of households spending 30%+ of income on housing, 2014, large metros

HIGHEST

1 Los Angeles-Long Beach-Anaheim, CA 48.4%

2 Miami-Fort Lauderdale-West Palm Beach, FL 47.0%

3 San Diego-Carlsbad, CA 45.8%

4 New York-Newark-Jersey City, NY-NJ-PA 45.8%

5 Riverside-San Bernardino-Ontario, CA 44.6%

LOWEST

1 Pittsburgh, PA 26.8%

2 Oklahoma City, OK 28.4%3 Louisville/Jefferson County, KY-IN 29.0%


5 Kansas City, MO-KS 29.8%



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Lower mortgage rates have made owning

less burdensome

14

47.3% 47.6% 47.2% 47.9%49.6%

51.1% 51.6% 50.3% 49.9% 50.1%

34.9%37.3% 37.9% 38.0% 37.9% 38.3% 37.2%

34.2%32.1% 31.2%

16.2% 17.0% 16.0% 16.3% 16.4% 16.6% 17.0% 16.0% 15.4% 15.8%

0%

10%

20%

30%

40%

50%

60%

2005 2006 2007 2008 2009 2010 2011 2012 2013 2014

% of households spending 30% or more of income onhousing, by tenure & mortgage status

Renters

Owners with

mortgage

Owners without

mortgage



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5. About the data



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Despite below-normal construction

activity, vacancy rate holds steady

16

7.6%

8.3%

8.6%8.8%

8.9%9.1%

9.0%

8.5%

8.4% 8.4%

6.5%

7.0%

7.5%

8.0%

8.5%

9.0%

9.5%

2005 2006 2007 2008 2009 2010 2011 2012 2013 2014

Vacancy rate(excl. seasonal; % of all housing units)



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Vacancy rate high in slow-growing Detroit

and fast-growing Vegas

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Vacancy rate, excluding seasonal, 2014, large metrosHIGHEST

1 Birmingham-Hoover, AL 12.1%

2 Memphis, TN-MS-AR 11.9%

3 New Orleans-Metairie, LA 11.9%

4 Detroit-Warren-Dearborn, MI 11.3%

5 Las Vegas-Henderson-Paradise, NV 10.9%

LOWEST

1 San Jose-Sunnyvale-Santa Clara, CA 3.8%

2 Denver-Aurora-Lakewood, CO 4.1%

3 Portland-Vancouver-Hillsboro, OR-WA 4.3%

4 Salt Lake City, UT 4.3%




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Active vacant inventory is low, while

inactive vacant inventory remains high

18

4.6% 4.9%5.1% 5.1% 5.2% 5.1% 4.8%

4.4% 4.3% 4.3%

6.1%

6.7%7.1% 7.3%

7.4%8.0% 8.3% 8.0% 8.2% 8.2%

0.0%

1.0%2.0%

3.0%

4.0%

5.0%

6.0%7.0%

8.0%

9.0%

2005 2006 2007 2008 2009 2010 2011 2012 2013 2014

Vacancy rate(% of all housing units)

Active inventory (for

sale/rent, sold, rented)

Inactive inventory (off marketincl. seasonal)



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Single-family vacancies are elevated and

inching upward

19

8.6%

9.4%

9.9%

10.2% 10.3%

10.8%11.0%

10.6% 10.7%10.7%

8.0%

8.5%

9.0%

9.5%

10.0%

10.5%

11.0%

11.5%

2005 2006 2007 2008 2009 2010 2011 2012 2013 2014

Vacancy rate, single-family homes(all vacancy reasons, incl. seasonal)



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Multi-unit vacancies down below 2006

level

20

14.5%

15.6%

16.0%16.2%

16.7%

17.2%

16.6%

15.4%15.1%

14.9%

13.0%

13.5%

14.0%

14.5%

15.0%

15.5%16.0%

16.5%

17.0%

17.5%

2005 2006 2007 2008 2009 2010 2011 2012 2013 2014

Vacancy rate, multi-unit buildings(all vacancy reasons, incl. seasonal)

SEPTEMBER, 2015T E R N E R C E N T E R F O R H O U S I N G I N N O V A T I O N

U C B E R K E L E Y


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5. About the data


U C B E R K E L E Y


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ACS reports lower homeownership than

HVS, but similar trend

22

66.9%67.3% 67.2%

66.6%

65.9%65.4%

64.6%63.9%

63.5%63.1%

68.9% 68.8%68.1%

67.8%67.4%

66.8%

66.1% 65.4%65.1%

64.5%

60%

61%62%

63%

64%

65%

66%67%

68%

69%

70%

2005 2006 2007 2008 2009 2010 2011 2012 2013 2014

Homeownership rate

ACS

HVS


U C B E R K E L E Y


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ACS and HVS both showed 2014

household formation of ~1m

23

9681,025

0

200

400

600

800

1,000

1,200

1,400

2006 2007 2008 2009 2010 2011 2012 2013 2014

Household formation(change in # of occupied housing units, 000s)

ACS

HVS


U C B E R K E L E Y


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ACS reports much lower vacancy than

HVS, but similar trend

24

7.6%

8.3%8.6% 8.8%

8.9%9.1% 9.0%

8.5% 8.4% 8.4%

9.6% 9.9%

10.4%10.7% 10.9%

10.9% 10.8%10.4% 10.3%

10.0%

6.0%

7.0%

8.0%

9.0%

10.0%

11.0%

12.0%

2005 2006 2007 2008 2009 2010 2011 2012 2013 2014

Vacancy rate(excl. seasonal; % of all housing units)

ACSHVS



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5. About the data



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About the American Community Survey 26

Annually produced by the Census Bureau

Most detailed and comprehensive regular source of housing

data for the U.S. and local areas

Superior to quarterly Homeownership and Vacancy Survey (HVS), though

less current

9/17/15 release: 1-year published tables. Still to come:

1-year microdata (PUMS) for customized analysis: Oct 15

5-year published tables, for data on smaller geographic areas: Dec 15

5-year PUMS: Jan 16



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ACS issues 27

These slides are based on the published ACS tables, whichprovide less detail than the microdata (PUMS) that will be

published in October. Estimates from published tables often

differ from estimates based on microdata.

Metropolitan areas are Core Based Statistical Areas

(CBSAs). Metro-ranking slides are based on the 51 CBSA

with 2010 Census population of one million or more.

Despite the large sample size of the ACS, differences

between metro areas and differences over time for a

single metro area might not be statistically significant.

Many ACS published tables provide margin-of-error

estimates for calculating statistical significance.



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Table reference guide 28

ACS data

Homeownership and household formation: B25002, B25003

Single-family vs multi-unit homes: B25024, B25032

Housing cost burden: B25101, B25106

Our calculations differ from those published in table DP04. We include zero/negative

income households as cost-burdened, and include no-cash-rent renters as not cost-

burdened. Table DP04 excludes both of those groups and collectively counts them asnot computed.

Vacancies: B25002, B25004

Our calculations differ from the homeowner and renter vacancy rates published in

table DP04. Those rates omit vacant units that are held off market / non-transacting,

which are a large and growing component of vacancy.

All slides based on ACS 1-year tables

HVS data

All data: 7a (annual estimates of housing inventory)



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Contact 29

www.jedkolko.com (website and email)

@jedkolko (Twitter)


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