Kansas 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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Data Item
State
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Median value of owner-occupied housing units, 2014-2018 - (US Dollars)
County Value
Allen 78,700
Anderson 93,400
Atchison 101,600
Barber 66,400
Barton 92,300
Bourbon 83,300
Brown 88,700
Butler 147,100
Chase 96,200
Chautauqua 62,500
Cherokee 80,300
Cheyenne 84,000
Clark 77,700
Clay 97,300
Cloud 73,900
Coffey 117,700
Comanche 78,800
Cowley 87,300
Crawford 91,000
Decatur 64,700
Dickinson 109,500
Doniphan 101,000
Douglas 192,800
Edwards 60,600
Elk 50,400
Ellis 164,500
Ellsworth 94,200
Finney 140,500
Ford 109,900
Franklin 125,600
Geary 142,200
Gove 80,600
Graham 70,100
Grant 109,000
Gray 131,300
Greeley 97,900
Greenwood 63,500
Hamilton 84,600
Harper 72,300
Harvey 123,100
Haskell 104,700
Hodgeman 81,700
Jackson 132,500
Jefferson 145,000
Jewell 52,800
Johnson 244,100
Kearny 109,500
Kingman 94,200
Kiowa 119,900
Labette 78,800
Lane 76,700
Leavenworth 173,900
Lincoln 73,200
Linn 99,800
Logan 87,200
Lyon 104,100
Marion 86,800
Marshall 94,900
McPherson 146,600
Meade 92,700
Miami 191,100
Mitchell 85,300
Montgomery 75,000
Morris 101,200
Morton 94,700
Nemaha 123,500
Neosho 81,200
Ness 73,400
Norton 75,100
Osage 110,700
Osborne 68,500
Ottawa 98,800
Pawnee 75,300
Phillips 80,000
Pottawatomie 181,200
Pratt 93,200
Rawlins 95,000
Reno 98,100
Republic 62,800
Rice 74,700
Riley 194,800
Rooks 78,000
Rush 72,300
Russell 89,300
Saline 128,500
Scott 134,200
Sedgwick 135,600
Seward 98,200
Shawnee 130,500
Sheridan 106,900
Sherman 92,700
Smith 66,900
Stafford 62,200
Stanton 79,700
Stevens 111,900
Sumner 87,400
Thomas 120,800
Trego 90,100
Wabaunsee 129,100
Wallace 99,300
Washington 78,200
Wichita 88,900
Wilson 67,400
Woodson 59,800
Wyandotte 95,600

Value for Kansas (US Dollars): $145,400

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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