New Household Demographics and House Prices · 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005...
Transcript of New Household Demographics and House Prices · 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005...
New Household Demographics and House Prices
2012 NAHB International Builder’s Show2012 NAHB International Builder s ShowFebruary 8-11, 2012
David W. Berson, Ph.D.
Main Themes
Housing starts will ultimately rise due to
2
g y• Growth in households similar to or higher than the prior decade• Pent-up demand from new households deferred due to the recession
Forecast ranges are broad since the Census Bureau publishes widely Forecast ranges are broad since the Census Bureau publishes widely differing reports on households and vacancy rates• Decennial Census is viewed as the most accurate because it is a full count of the entire
population (at least in theory). • The timeliest measure of households comes from the Census Bureau’s Housing Vacancy
Survey (HVS), which is released quarterly and is a relatively small survey.
Roughly 1.4-2.4 million vacant units above equilibrium (probably closer to upper end)
Recession caused a shortfall of between 1.5-3.0 million households
National house prices have corrected to around normal valuationsNational house prices have corrected to around normal valuations
Background: Average Annual Household Growth g g3
2 000
1,600
1,800
2,000CPSDecennial CensusHVS
1,000
1,200
1,400
400
600
800
0
200
1960 1970 1980 1990 2000 2010
Source: Bureau of the Census (HVS is annual average of quarterly data. 12/2/2011 revision.)
Growth in Households 2000-2010
4
9 3%15 4%
3.7%4.2%
6.6% 7.5%
9.3%
9.3%
9.4%
10.1%
11.0%
13.9%
14.2%
15.4%
1 2%
23.4%
1.3%2.3%
3.5%
3.7%
4.9%5.1% 5.3%
5.3%
6.3%
7.1%
7.1% 7.4%8.1%8.2%
8.2%
8.9%9.3%13.2%
14.6%
17.2%
19.0%25.2%34.0%
6.6%
8.1%
8.4%
8.8%10.0%
11.7%
16.7% 17.4%
19.3%
19.6%
25.2%
4.4%
12.9%
16.5%17.1%
20.7%
0.0% to 5.0%5.1% to 10.0%10 1% to 15 0%
Source: Decennial Census
10.1% to 15.0%15.1% to 20.0%20.1% to 35.0%
Several Million Households Temporarily “Missing”
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“Doubled up” households (at least 1 extra 18+ not in school and not the spouse/partner of household head) increased by 2 1 million (10 7%) overall and by 1 2 million (25 5%) of household head) increased by 2.1 million (10.7%) overall, and by 1.2 million (25.5%) for 25-34 year olds since 2007.
Doubled-Up Households
1618202224
20072011
810121416
Mill
ions
02468
Source: Census CPS/PMI analysis
0Doubled-Up Households 25-34 Year Olds Living With Parents
Headship Rates Fell the Most for Younger Age Groups (2006-Present)( )
6
32.5 5032.5
30 0
50
48
20-24 Year Olds (Left Axis)
30.0
2
48
46
cent
27.5 46
Per
25-34 Year Olds 25.0 44(Right Axis)
Source: Census CPS/Haver/PMI analysis
100500959085807570656022.5 42
Housing Starts Will Rise Due to Population Growth
An average of 1.1-1.5 million new units a year will need to be built this decade (a doubling from l l ) Th b d 1 1 1 3 ll h h ld l f 200k
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current levels). This is based on 1.1-1.3 million new households on average, replacement of 200k-300k demolitions a year, less the working down of the current excess of 1.4-2.4 million units. This assumes only minimal growth in second/vacation homes (which grew ~125k a year over the last 40 years per HVS data), due to the current oversupply and housing finance situation.
Population projections are subject to high uncertainly due to potential changes in laws, unknown illegal immigration flows, immigration variations due to economic conditions, poor data on emigration, and a lack of clean data on demographics (age, persons per household, etc.) of immigrations.
1.31.51.7
Cha
nge
In
Mill
ions
0.50.70.91.1
rage
Ann
ual C
ouse
hold
s in
Source: Decennial Census/PMI
1970-1980 1980-1990 1990-2000 2000-2010 2010-2020(Forecast Range)Av
er Ho
Household Growth Scenarios
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Average Annual Increase in Households 2010-2020 i Milli
Total Headship Rate50
Constant
Headship Rates 2020
Census Baseline
Immigration Population
Census Low
Immigration Population
2020 in Millions
45
46
47
48
49
Perc
ent
Constant
Negative Grow th
Weak Grow th
Strong Grow th
opu at o opu at o
Negative Growth (47.6%) 1.0 0.9Constant (48.2%) 1.2 1.1
Weak Growth (48.8%) 1.4 1.2Strong Growth (49.5%) 1.5 1.4
42
43
44
45
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020
We estimated scenarios for two different Census population growth forecasts and four headship rate forecasts (our baseline scenario is highlighted)
Source: Census CPS/Haver/PMI
Strong Growth (49.5%) 1.5 1.4
headship rate forecasts (our baseline scenario is highlighted).
Census Baseline Immigration population projections support total population growth of10.0% (31.2 million) and their Low Immigration projections support total population growth of 9.3% (28.5 million). We prefer the Low Immigration projections because we suspect the Census will revise down their population projections. Immigration fell recently due to weak employment prospects and greater illegal immigration enforcement.
Vacancies are High, but Not Easy to Estimate, Even for the Census Bureau!
Vacancy rates rising, but different sources are inconsistent.
9
15%
10%11%12%13%14%15%
cy R
ates
6%7%8%9%
10%
5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1
Vac
anc
Vacancy rates have risen over time due to:
1985
1986
1987
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
HVS AHS Decennial ACS
Increase in vacation homes as wealth increased. Oversupply/missing households due to boom/bust.
We suspect there are more than 2 million excess vacant units above equilibrium, which happens to be in the ballpark (i.e. range of estimates) of the shortfall of households caused by the recession.The American Housing Survey (AHS) is a biennial Census survey of around 55k households The ACS is a The American Housing Survey (AHS) is a biennial Census survey of around 55k households. The ACS is a larger annual survey that replaces the Decennial long-form. Unlike ACS, the AHS returns to the same housing units year after year to gather data; therefore, this survey is ideal for analyzing the flow of households through housing.
1.4-2.4 Million Excess Vacant Housing Units
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Method 1: Compare vacancy data to historical trendsH ld Off T O i R t d
Thousands of Units For Sale SeasonalHeld Off
Other For RentTemp.
OccupiedOccasion
al UseRented or
Sold Sum2011 - Q2 1,960 4,571 3,869 3,947 1,166 2,312 1,017 18,842 Trend (1965 - 2000) 1,575 3,860 3,273 3,904 1,314 2,501 1,051 17,478 excess 385 711 596 43 (148) (189) (34) 1,364
Source: Census HVS data (12/2/2011 revision)/Haver/PMI analysis
If vacancy rates return to a gradually growing trend-line based on 1965 to 2000 vacancies, then there are 1.4 million excess vacant units.
excess 385 711 596 43 (148) (189) (34) 1,364
Scenario AssumptionsExcess Housing
Method 2: Compare where we are now to the historical relationship between new housing starts and new households (HVS)
Scenario Assumptions(Million)
Difference of cumulative housing starts since 1999 and a trend level based on average new households to housing starts relationship during 1990s
No excess housing in 1999
2.4
Same as above except trend based on upward trend between 1964 and 1999
No excess housing in 1999
1.6
Housing Unit Vacancy Rates
9.2% 15 6%
11
9.3%9.3%
9.7%
10 7%
11.1%
11.3%
11.4%
13.1%13.2%
13 4% 14 6%
15.2%
15.6%20.5% 22.8%
7.9%
8.1%
8.6%
8.7%
9.2%9.3%
9.5% 9.5%
9.8%
9.9%
10.1%
10.2%10.4% 10.5%
10.7%
10 8%
10.8%12.4%
13.4%
13.4%
14.3%
14.6%
15.7%
10.8%
11.3%
12.2%12.3%
12.3%
%
12.5%
12.9%
13.3%
13.5%
15.7%16.3%
10.6% 12.0%
12 4%
12.5%
15.9%17.5%
7.0% to 10.0%10 0% to 13 0%12.4% 10.0% to 13.0%13.0% to 18.0%18.0% to 25.0%
Source: 2010 Decennial Census/PMI
Change in Vacancy Rates 2000-2010
1.9%
12
-0 2%
0.2%
1.1%
1.2%
1.6%
2.1%
2.2%
2.2%
2.3%
2.3%2.5%
2.8%
2.9%
3 6%4 0%-0.2%
0.5%
0.6%
0.8%
1.6% 1.6%
1.7%
1.7%
1.7%
1.8%1.8%
2.1%
2.1%
2.2%
2.3%2.6%
2.7%2.7%2.8%
3.2%
3.6%4.0%
5.1%
-0.9%0.9%
1.7%
1.7%
2.3%
2.5%
2.9%
3.1%3.2%
3.9%
-0.1%
0.8%
1.2% 1.7%
4.2%-1.0% to 0.0%0.0% to 2.0%2 0% t 4 0%2.0% to 4.0%4.0% to 6.0%
Areas with the largest increases in vacancies are NV and FL.
Vacancy rates fell in three states: NM, CO, HI.
Source: Decennial Census/PMI
House Prices About Fairly Valued
13
280 280
100
Prices excluding distressed sales are now 8.1% higher than trend income.
P l d
280
240
280
240
Including Distressed
uary
199
5 = Prices including
distressed sales are 1.4% lower than trend income.
Not shown: the
200
160
200
160Excluding Distressed
Inde
x, J
anu Not shown: the
Freddie Mac HPI is 13.5% below the current trend income index, while median existing SF house
120
80
120
80Disposable Personal g
prices are 18.2% below and Case-Shiller is 8.5% below. 1005009590
Sources: CoreLogic, Bureau of Economic Analysis /Haver Analytics
40 40
Income Per Capita
Distressed Home Sales are Still Dragging Prices Down
14
40 40
20 20
Homebuyer Tax Credit
Annual Rate20
0
20
00
20
0
20-20
40
-20
40
Year-to-Year
1110090807Sources: CoreLogic /Haver Analytics
-40 -40
Non-Distressed House Prices are Increasing
15
15.0 15.0Homebuyer
7.5 7.5
Tax Credit
0.0
-7.5
0.0
-7.5
-15.0 -15.0Annual
Rate
Year-to-Year
-22.5
-30.0
-22.5
-30.0
Rate
1110090807Sources: CoreLogic /Haver Analytics
30.0 30.0
Significant Differences in Regional House Appreciationg g pp16
-11.2% to -10.0%-10.0% to -5.0% -5.0% to 0.0%
Source: CoreLogic HPI Including Distressed, November 2011% Change – Year-to-YearHPI is already growing in some areas.
0.0% to 4.3%