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

Embed this in your blog

Preview
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.
Recommended:
Data Item
State
Loading map...
Median value of owner-occupied housing units, 2014-2018 - (US Dollars)
County Value
Adair 89,600
Allen 112,300
Anderson 142,200
Ballard 99,800
Barren 116,500
Bath 88,200
Bell 59,900
Boone 186,500
Bourbon 142,000
Boyd 110,000
Boyle 142,100
Bracken 102,000
Breathitt 50,800
Breckinridge 99,600
Bullitt 157,900
Butler 90,100
Caldwell 89,100
Calloway 137,200
Campbell 168,300
Carlisle 93,500
Carroll 111,200
Carter 88,400
Casey 80,700
Christian 113,900
Clark 141,600
Clay 58,300
Clinton 65,400
Crittenden 89,800
Cumberland 91,400
Daviess 130,800
Edmonson 90,800
Elliott 75,400
Estill 75,300
Fayette 180,700
Fleming 92,300
Floyd 72,700
Franklin 142,100
Fulton 63,100
Gallatin 111,900
Garrard 139,100
Grant 129,000
Graves 98,800
Grayson 107,000
Green 77,500
Greenup 109,100
Hancock 110,300
Hardin 153,900
Harlan 58,500
Harrison 137,200
Hart 92,500
Henderson 127,200
Henry 129,000
Hickman 79,100
Hopkins 105,900
Jackson 78,200
Jefferson 164,400
Jessamine 168,100
Johnson 96,300
Kenton 155,200
Knott 51,200
Knox 82,400
Larue 107,500
Laurel 107,500
Lawrence 82,300
Lee 65,000
Leslie 62,000
Letcher 58,500
Lewis 67,400
Lincoln 100,500
Livingston 104,900
Logan 108,900
Lyon 134,100
Madison 155,000
Magoffin 72,300
Marion 103,100
Marshall 123,000
Martin 67,500
Mason 119,500
McCracken 138,900
McCreary 64,400
McLean 98,500
Meade 150,700
Menifee 78,600
Mercer 144,200
Metcalfe 78,300
Monroe 74,600
Montgomery 117,200
Morgan 75,000
Muhlenberg 85,700
Nelson 149,500
Nicholas 84,600
Ohio 91,300
Oldham 271,900
Owen 99,400
Owsley 71,900
Pendleton 104,900
Perry 73,800
Pike 78,400
Powell 79,600
Pulaski 110,500
Robertson 100,100
Rockcastle 80,800
Rowan 125,800
Russell 85,700
Scott 178,400
Shelby 187,200
Simpson 131,600
Spencer 201,300
Taylor 117,200
Todd 102,900
Trigg 124,400
Trimble 118,100
Union 86,500
Warren 160,600
Washington 113,700
Wayne 81,200
Webster 81,300
Whitley 87,700
Wolfe 63,600
Woodford 196,700

Value for Kentucky (US Dollars): $135,300

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

More Information