Tennessee Median value of owner-occupied housing units, 2014-2018 by County

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About this application: This application provides summary profiles showing frequently requested data items from various US Census Bureau programs. Profiles are available for the nation, states, and counties.
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State
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Median value of owner-occupied housing units, 2014-2018 - (US Dollars)
County Value
Anderson 139,800
Bedford 140,500
Benton 85,800
Bledsoe 129,400
Blount 174,600
Bradley 154,100
Campbell 97,200
Cannon 155,300
Carroll 87,100
Carter 119,600
Cheatham 176,400
Chester 114,400
Claiborne 107,500
Clay 88,700
Cocke 111,000
Coffee 127,200
Crockett 98,900
Cumberland 143,000
Davidson 219,900
Decatur 94,700
DeKalb 137,800
Dickson 156,600
Dyer 99,100
Fayette 191,200
Fentress 100,400
Franklin 128,900
Gibson 94,900
Giles 123,300
Grainger 113,500
Greene 118,500
Grundy 83,100
Hamblen 132,200
Hamilton 171,400
Hancock 88,800
Hardeman 86,200
Hardin 115,800
Hawkins 118,600
Haywood 102,200
Henderson 93,500
Henry 101,200
Hickman 111,300
Houston 98,300
Humphreys 104,200
Jackson 107,000
Jefferson 142,200
Johnson 118,700
Knox 174,700
Lake 74,500
Lauderdale 84,100
Lawrence 103,200
Lewis 89,700
Lincoln 124,000
Loudon 199,400
Macon 112,500
Madison 127,100
Marion 123,500
Marshall 124,700
Maury 170,400
McMinn 125,300
McNairy 93,600
Meigs 123,400
Monroe 122,600
Montgomery 159,500
Moore 168,300
Morgan 98,400
Obion 89,200
Overton 115,300
Perry 83,400
Pickett 151,900
Polk 113,800
Putnam 155,700
Rhea 113,500
Roane 138,100
Robertson 176,300
Rutherford 190,200
Scott 90,400
Sequatchie 141,500
Sevier 168,600
Shelby 142,300
Smith 132,100
Stewart 125,500
Sullivan 133,900
Sumner 212,100
Tipton 145,800
Trousdale 133,200
Unicoi 131,000
Union 120,000
Van Buren 92,800
Warren 108,200
Washington 159,400
Wayne 105,600
Weakley 96,000
White 110,300
Williamson 417,700
Wilson 243,400

Value for Tennessee (US Dollars): $158,600

Sources: U.S. Census Bureau, American Community Survey (ACS) and Puerto Rico Community Survey (PRCS), 5-Year Estimates. The PRCS is part of the Census Bureau's ACS, customized for Puerto Rico. Both Surveys are updated every year.

Definition

Value is the respondent's estimate of how much the property (house and lot) would sell for if it were for sale.

This tabulation includes only specified owner-occupied housing units--one-family houses on less than 10 acres without a business or medical office on the property. These data exclude mobile homes, houses with a business or medical office, houses on 10 or more acres, and housing units in multi-unit structures. Certain tabulations elsewhere include the value of all owner-occupied housing units and vacant-for-sale housing units. Also available are data on mortgage status and selected monthly owner costs.

The median divides the value distribution into two equal parts: one-half of the cases falling below the median value of the property (house and lot) and one-half above the median. Median value calculations are rounded to the nearest hundred dollars.

Owner-Occupied - A housing unit is owner-occupied if the owner or co-owner lives in the unit, even if it is mortgaged or not fully paid for. The owner or co-owner must live in the unit and usually is Person 1 on the questionnaire. The unit is "Owned by you or someone in this household with a mortgage or loan" if it is being purchased with a mortgage or some other debt arrangement such as a deed of trust, trust deed, contract to purchase, land contract, or purchase agreement. The unit also is considered owned with a mortgage if it is built on leased land and there is a mortgage on the unit. Mobile homes occupied by owners with installment loan balances also are included in this category. For the complete definition, go to ACS subject definitions "Tenure."

Source and Accuracy

This Fact is based on data collected in the American Community Survey (ACS) and the Puerto Rico Community Survey (PRCS) conducted annually by the U.S. Census Bureau. A sample of over 3.5 million housing unit addresses is interviewed each year over a 12 month period. This Fact (estimate) is based on five years of ACS and PRCS sample data and describes the average value of person, household and housing unit characteristics over this period of collection.

Statistics from all surveys are subject to sampling and nonsampling error. Sampling error is the uncertainty between an estimate based on a sample and the corresponding value that would be obtained if the estimate were based on the entire population (as from a census). Measures of sampling error are provided in the form of margins of error for all estimates included with ACS and PRCS published products. The Census Bureau recommends that data users incorporate this information into their analyses, as sampling error in survey estimates could impact the conclusions drawn from the results. The data for each geographic area are presented together with margins of error at Using margins of error. A more detailed explanation of margins of error and a demonstration of how to use them is provided below.

For more information on sampling and estimation methodology, confidentiality, and sampling and nonsampling errors, please see the Multiyear Accuracy (US) and the Multiyear Accuracy (Puerto Rico) documents at "Documentation - Accuracy of the data."

Margin of Error

As mentioned above, ACS estimates are based on a sample and are subject to sampling error. The margin of error measures the degree of uncertainty caused by sampling error. The margin of error is used with an ACS estimate to construct a confidence interval about the estimate. The interval is formed by adding the margin of error to the estimate (the upper bound) and subtracting the margin of error from the estimate (the lower bound). It is expected with 90 percent confidence that the interval will contain the full population value of the estimate. The following example is for demonstrating purposes only. Suppose the ACS reported that the percentage of people in a state who were 25 years and older with a bachelor's degree was 21.3 percent and that the margin of error associated with this estimate was 0.7 percent. By adding and subtracting the margin of error from the estimate, we calculate the 90-percent confidence interval for this estimate:

21.3% - 0.7% = 20.6% => Lower-bound estimate
21.3% + 0.7% = 22.0% => Upper-bound estimate

Therefore, we can be 90 percent confident that the percent of the population 25 years and older having a bachelor's degree in a state falls somewhere between 20.6 percent and 22.0 percent.

For this Fact, its estimates and margins of error along with percents and percent margins of errors can be found on American Community Survey, Data Profiles-Housing Characteristics

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