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Housing Vacancies and Homeownership (CPS/HVS)
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Third Quarter 2007
Table 4. Estimates of the Total Housing Inventory for the
United States: Third Quarter 2006 and 2007
(Estimates are in thousands and may not add to total, due to rounding)
Third Third 90-Percent
quarter quarter Confidence Interval (±)a 2007
Type 2006 2007 of 2007 of Percent
estimate estimate estimate difference of total
All housing units................. 126,224 128,189 (X) (X) 100
Occupied........................ 109,629 110,299 309 278 86
Owner occupied................ 75,646 75,181 629 429 59
Renter occupied............... 33,984 35,118 542 417 27
Vacant.......................... 16,595 17,890 371 325 14
Year-round vacant............. 12,606 13,334 361 309 10
For rent.................... 3,808 3,866 174 194 3
For sale only............... 1,935 2,074 109 135 2
Rented or sold,
awaiting occupancy.......... 1,159 1,224 76 106 1
Held off market............. 5,704 6,170 254 217 5
For occasional use........ 1,850 1,967 146 125 2
Temporarily occupied
by persons with
usual residence elsewhere. 1,121 1,086 109 95 1
For other reasons......... 2,733 3,117 183 154 2
Seasonal vacant............... 3,989 4,558 245 208 4
aA 90-percent confidence interval is a measure of an estimate's reliability. The larger
the confidence interval is, in relation to the size of the estimate, the less reliable the estimate.
(X) Not Applicable. Since the number of housing units is set equal to an independent national
measure, there is no sampling error, and hence no confidence interval.
NOTE: Since first quarter 2003, the Current Population Survey/Housing Vacancy Survey (CPS/HVS) estimates
have been controlled to independent housing unit counts. Doing so should make the CPS/HVS estimate of
housing units more comparable to other Census Bureau housing surveys.
Go to Housing Vacancies and Homeownership: Third Quarter 2007
Contact Bob Callis or Linda Cavanaugh at (301)763-3199 or visit ask.census.gov for further information on the Housing Vacancy Survey.
Source: U.S. Census Bureau, Housing and Household Economic Statistics Division