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Housing Vacancies and Homeownership (CPS/HVS)
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Third Quarter 2006
Table 4. Estimates of the Total Housing Inventory for the
United States: Third Quarter 2005 and 2006
(Estimates are in thousands and may not add to total, due to rounding)
Third Third 90-Percent
quarter quarter Confidence Interval(+) 2006
Type 2005 2006 of 2006 of Percent
estimate estimate estimate difference of total
All housing units................. 124,119 126,225 (X) (X) 100
Occupied........................ 108,431 109,629 317 288 87
Owner occupied................ 74,588 75,646 628 430 60
Renter occupied............... 33,843 33,984 537 415 27
Vacant.......................... 15,688 16,595 359 316 13
Year-round vacant............. 11,854 12,606 353 301 10
For rent.................... 3,773 3,808 173 193 3
For sale only............... 1,481 1,935 105 125 2
Rented or sold,
awaiting occupancy.......... 1,191 1,159 74 106 1
Held off market............. 5,409 5,704 245 210 5
For occasional use........ 1,799 1,850 142 122 1
Temporarily occupied
by persons with
usual residence elsewhere. 1,020 1,121 111 94 1
For other reasons......... 2,590 2,733 172 147 2
Seasonal vacant............... 3,834 3,989 229 199 3
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 2006
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