Indiana 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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Median value of owner-occupied housing units, 2014-2018 - (US Dollars)
County Value
Adams 122,400
Allen 123,800
Bartholomew 143,800
Benton 87,900
Blackford 71,300
Boone 222,500
Brown 186,000
Carroll 131,600
Cass 85,500
Clark 137,800
Clay 102,000
Clinton 104,000
Crawford 89,700
Daviess 121,500
Dearborn 165,400
Decatur 124,700
DeKalb 118,100
Delaware 90,900
Dubois 149,500
Elkhart 137,900
Fayette 82,400
Floyd 165,700
Fountain 94,900
Franklin 151,900
Fulton 97,200
Gibson 110,300
Grant 89,500
Greene 95,600
Hamilton 249,400
Hancock 165,200
Harrison 143,500
Hendricks 179,600
Henry 96,200
Howard 106,300
Huntington 105,000
Jackson 116,700
Jasper 158,300
Jay 85,400
Jefferson 123,700
Jennings 103,900
Johnson 158,200
Knox 88,700
Kosciusko 146,000
LaGrange 179,200
Lake 143,500
LaPorte 127,700
Lawrence 115,700
Madison 93,700
Marion 129,200
Marshall 134,500
Martin 111,100
Miami 87,200
Monroe 167,900
Montgomery 120,500
Morgan 154,300
Newton 115,300
Noble 118,100
Ohio 148,100
Orange 92,200
Owen 113,500
Parke 91,300
Perry 108,800
Pike 96,700
Porter 178,100
Posey 141,000
Pulaski 98,700
Putnam 121,300
Randolph 79,600
Ripley 149,800
Rush 104,300
Scott 99,600
Shelby 130,100
Spencer 121,000
St. Joseph 123,900
Starke 108,000
Steuben 140,600
Sullivan 85,500
Switzerland 110,800
Tippecanoe 148,800
Tipton 106,200
Union 112,100
Vanderburgh 126,400
Vermillion 77,400
Vigo 92,400
Wabash 97,200
Warren 115,400
Warrick 162,700
Washington 113,200
Wayne 97,400
Wells 120,700
White 110,300
Whitley 138,700

Value for Indiana (US Dollars): $135,400

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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