Nebraska 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 118,300
Antelope 80,600
Arthur 104,600
Banner 136,000
Blaine 83,900
Boone 111,800
Box Butte 120,100
Boyd 67,100
Brown 80,100
Buffalo 165,800
Burt 94,600
Butler 112,600
Cass 170,700
Cedar 121,000
Chase 122,700
Cherry 120,700
Cheyenne 104,900
Clay 88,300
Colfax 87,800
Cuming 115,200
Custer 94,800
Dakota 114,900
Dawes 120,000
Dawson 99,200
Deuel 78,200
Dixon 90,700
Dodge 122,600
Douglas 161,400
Dundy 76,300
Fillmore 79,100
Franklin 65,200
Frontier 100,200
Furnas 68,800
Gage 115,500
Garden 81,100
Garfield 98,500
Gosper 115,100
Grant 57,700
Greeley 79,100
Hall 142,300
Hamilton 140,400
Harlan 88,200
Hayes 62,500
Hitchcock 57,800
Holt 108,500
Hooker 84,200
Howard 127,400
Jefferson 80,100
Johnson 83,200
Kearney 140,000
Keith 114,200
Keya Paha 71,400
Kimball 79,800
Knox 89,300
Lancaster 167,900
Lincoln 135,700
Logan 110,800
Loup 122,600
Madison 136,900
McPherson 119,300
Merrick 100,800
Morrill 92,900
Nance 78,400
Nemaha 109,500
Nuckolls 70,800
Otoe 134,700
Pawnee 71,600
Perkins 113,100
Phelps 127,000
Pierce 116,700
Platte 143,900
Polk 100,200
Red Willow 99,600
Richardson 66,800
Rock 78,300
Saline 98,000
Sarpy 183,700
Saunders 161,800
Scotts Bluff 121,900
Seward 162,600
Sheridan 72,300
Sherman 89,400
Sioux 113,900
Stanton 115,100
Thayer 66,800
Thomas 120,300
Thurston 81,900
Valley 107,800
Washington 185,800
Wayne 135,900
Webster 78,300
Wheeler 89,000
York 127,500

Value for Nebraska (US Dollars): $147,800

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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