Florida Owner-occupied housing units - percent of total occupied housing units, 2009-2013 by County

Data Item State
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Homeownership rate, 2009-2013 - (Percent)
County Value
Alachua 54.1
Baker 79.7
Bay 62.5
Bradford 77.8
Brevard 73.5
Broward 65.9
Calhoun 79.0
Charlotte 79.0
Citrus 82.6
Clay 76.6
Collier 74.1
Columbia 70.8
DeSoto 71.8
Dixie 78.5
Duval 61.6
Escambia 64.1
Flagler 80.2
Franklin 69.7
Gadsden 71.2
Gilchrist 79.7
Glades 72.1
Gulf 71.3
Hamilton 75.1
Hardee 70.5
Hendry 69.6
Hernando 79.3
Highlands 77.9
Hillsborough 60.0
Holmes 79.3
Indian River 74.9
Jackson 74.3
Jefferson 75.5
Lafayette 79.9
Lake 75.3
Lee 70.8
Leon 53.8
Levy 77.5
Liberty 78.7
Madison 75.8
Manatee 71.4
Marion 76.7
Martin 76.2
Miami-Dade 55.7
Monroe 61.7
Nassau 78.4
Okaloosa 66.1
Okeechobee 73.9
Orange 57.4
Osceola 63.1
Palm Beach 71.2
Pasco 76.5
Pinellas 67.0
Polk 70.5
Putnam 76.3
Santa Rosa 73.6
Sarasota 74.5
Seminole 70.5
St. Johns 77.0
St. Lucie 73.0
Sumter 90.2
Suwannee 72.2
Taylor 78.1
Union 66.5
Volusia 72.0
Wakulla 78.7
Walton 73.3
Washington 78.6

Value for Florida (Percent): 67.1%

Data item: Homeownership rate, 2009-2013

Source: U. S. Census Bureau, American Community Survey, 5-Year Estimates. Updated every year. http://factfinder2.census.gov


A housing unit is a house, an apartment, a mobile home, a group of rooms, or a single room that is occupied (or if vacant, is intended for occupancy) as separate living quarters. Separate living quarters are those in which the occupants live and eat separately from any other persons in the building and which have direct access from the outside of the building or through a common hall.

A housing unit is owner-occupied if the owner or co-owner lives in the unit, even if it is mortaged or not fully paid for.

The homeownership rate is computed by dividing the number of owner-occupied housing units by the number of occupied housing units or households.

Scope and Methodology:

These data are collected in the American Community Survey (ACS). The data for each geographic area are presented together with margins of error at factfinder2.census.gov. The data are period estimates, that is, they represent the characteristics of the housing over a specific 60-month data collection period.

Margins of Error (MOE). ACS estimates are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a MOE. The MOE used with ACS estimates can be interpreted as providing a 90 percent probability that the interval defined by the estimate plus the MOE and the estimate minus the MOE (the upper and lower confidence bounds) contains the full population value of the estimate.

For example, suppose the 5-year ACS reported the percentage of people 25 years and older in Birmingham, Alabama who had a bachelor's degree was 21.3 percent and that the MOE associated with this estimate is plus or minus (+/-) 0.9 percent. By adding and subtracting the MOE from the estimate, we can calculate the 90-percent confidence interval for this estimate at 21.3%, +/-0.9%:

21.3% - 0.9% = 20.4% = Lower-bound estimate
21.3% + 0.9% = 22.2% = Upper-bound estimate

Therefore, we can be 90 percent confident that the percent of the population in Birmingham, Alabama of age 25 years and older having a bachelor's degree in 2007-2011 falls somewhere between 20.4 percent and 22.2 percent.

For this Fact and other 5-year Housing Characteristic Facts (listed below), their estimates and margins of error or percents and percent margins of errors can be found on Data Profile - Housing Characteristics. This profile is displayed by geography. Click on the link for "Browse data sets for (geography picked)" near the top of the Quick Facts profile page, click on the link for People QuickLinks/American Community Survey - "Housing Characteristics" for the data profile.

Homeownership rate,
Median value of owner-occupied housing units.

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