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Housing Vacancies and Homeownership (CPS/HVS)
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First Quarter 2008
Table 4. Estimates of the Total Housing Inventory for the
United States: First Quarter 2007 and 2008
(Estimates are in thousands and may not add to total, due to rounding)
First First 90-Percent
quarter quarter Confidence Interval (±)a 2008
Type 2007 2008 of 2008 of Percent
estimate estimate estimate difference of total
All housing units................. 127,266 129,386 (X) (X) 100
Occupied........................ 109,704 110,824 303 275 86
Owner occupied................ 75,006 75,145 629 430 58
Renter occupied............... 34,698 35,678 544 419 28
Vacant.......................... 17,562 18,563 376 331 14
Year-round vacant............. 13,392 13,853 368 316 11
For rent.................... 3,956 4,063 179 198 3
For sale only............... 2,179 2,277 114 142 2
Rented or sold,
awaiting occupancy.......... 1,088 1,054 71 101 1
Held off market............. 6,169 6,459 259 223 5
For occasional use........ 1,977 2,049 149 128 2
Temporarily occupied
by persons with
usual residence elsewhere. 1,252 1,205 115 101 1
For other reasons......... 2,940 3,205 185 158 2
Seasonal vacant............... 4,170 4,711 249 212 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: First Quarter 2008
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