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.
Median value of owner-occupied housing units, 2014-2018 - (US Dollars)
County
Value
Adair
83,500
Alfalfa
78,900
Atoka
98,800
Beaver
101,800
Beckham
120,100
Blaine
82,900
Bryan
107,700
Caddo
82,500
Canadian
160,200
Carter
112,400
Cherokee
115,900
Choctaw
95,500
Cimarron
55,800
Cleveland
159,500
Coal
84,900
Comanche
125,400
Cotton
75,400
Craig
104,700
Creek
116,200
Custer
135,500
Delaware
114,900
Dewey
93,700
Ellis
84,700
Garfield
106,800
Garvin
95,200
Grady
125,800
Grant
78,500
Greer
71,700
Harmon
62,600
Harper
79,500
Haskell
89,600
Hughes
70,800
Jackson
99,000
Jefferson
62,500
Johnston
79,100
Kay
88,800
Kingfisher
140,500
Kiowa
62,100
Latimer
86,200
Le Flore
88,400
Lincoln
107,700
Logan
160,700
Love
106,400
Major
94,700
Marshall
88,000
Mayes
109,900
McClain
171,700
McCurtain
81,600
McIntosh
96,000
Murray
120,000
Muskogee
101,900
Noble
95,800
Nowata
83,500
Okfuskee
75,900
Oklahoma
148,000
Okmulgee
82,600
Osage
113,400
Ottawa
85,100
Pawnee
91,500
Payne
154,000
Pittsburg
102,200
Pontotoc
125,700
Pottawatomie
115,900
Pushmataha
78,500
Roger Mills
113,400
Rogers
157,300
Seminole
72,900
Sequoyah
94,600
Stephens
105,500
Texas
105,900
Tillman
53,100
Tulsa
150,500
Wagoner
154,400
Washington
117,100
Washita
82,600
Woods
98,400
Woodward
119,500
Value for Oklahoma (US Dollars): $130,900
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:
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.
