Indiana Median value of owner-occupied housing units, 2014-2018 by City

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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
Median value of owner-occupied housing units, 2014-2018 - (US Dollars)
City Value
Anderson 72,100
Angola 121,500
Auburn 114,500
Avon 198,500
Batesville 164,500
Bedford 91,400
Beech Grove 98,800
Bloomington 182,100
Bluffton 93,700
Boonville 90,300
Brazil 78,700
Bright 173,600
Brownsburg 173,400
Carmel 330,600
Cedar Lake 172,600
Charlestown 115,600
Chesterton 184,400
Clarksville 114,000
Columbia City 111,400
Columbus 156,400
Connersville 71,000
Crawfordsville 97,200
Crown Point 185,200
Cumberland 133,200
Danville 158,700
Decatur 93,100
Dunlap 142,700
Dyer 208,400
East Chicago 73,900
Elkhart 93,800
Ellettsville 125,900
Elwood 64,000
Evansville 92,300
Fort Wayne 110,600
Frankfort 80,200
Franklin 123,000
Garrett 91,600
Gary 67,400
Gas City 82,100
Goshen 114,900
Granger 209,800
Greencastle 100,000
Greenfield 135,200
Greensburg 112,300
Greenwood 149,600
Griffith 137,700
Grissom AFB 54,900
Hammond 89,300
Hartford City 59,100
Hidden Valley 196,800
Highland 156,600
Hobart 137,000
Huntingburg 96,000
Huntington 79,600
Jasper 154,100
Jeffersonville 133,600
Kendallville 97,100
Kokomo 87,100
La Porte 95,200
Lafayette 109,900
Lake Station 81,600
Lakes of the Four Seasons 191,400
Lawrence 141,300
Lawrenceburg 134,800
Lebanon 115,300
Linton 65,800
Logansport 65,700
Lowell 161,600
Madison 128,000
Marion 65,900
Martinsville 97,400
Merrillville 132,100
Michigan City 89,200
Mishawaka 98,100
Monticello 94,900
Mooresville 128,900
Mount Vernon 105,600
Muncie 70,800
Munster 222,700
Nappanee 116,900
New Albany 117,100
New Castle 72,300
New Haven 99,400
New Whiteland 95,500
Noblesville 194,800
North Manchester 91,800
North Vernon 90,700
Peru 61,800
Plainfield 163,000
Plymouth 93,400
Portage 144,900
Portland 69,900
Princeton 84,800
Rensselaer 114,900
Richmond 85,700
Rochester 86,300
Rushville 86,800
Salem 83,800
Schererville 212,900
Scottsburg 96,800
Sellersburg 154,800
Seymour 111,200
Shelbyville 99,100
South Bend 82,500
South Haven 116,000
Speedway 119,400
St. John 283,000
Tell City 95,500
Terre Haute 76,700
Tipton 81,800
Valparaiso 175,100
Vincennes 75,000
Wabash 78,300
Warsaw 128,500
Washington 84,800
West Lafayette 217,300
Westville 93,700
Yorktown 136,300
Zionsville 369,600

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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