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
Arkansas
83,600
Ashley
71,500
Baxter
128,800
Benton
172,000
Boone
124,900
Bradley
77,800
Calhoun
69,400
Carroll
126,800
Chicot
63,000
Clark
100,900
Clay
72,400
Cleburne
132,400
Cleveland
83,000
Columbia
82,800
Conway
101,400
Craighead
138,500
Crawford
116,900
Crittenden
110,500
Cross
83,600
Dallas
66,600
Desha
62,800
Drew
97,600
Faulkner
157,600
Franklin
94,200
Fulton
93,500
Garland
138,400
Grant
127,100
Greene
113,100
Hempstead
79,400
Hot Spring
91,900
Howard
92,500
Independence
105,200
Izard
81,500
Jackson
66,900
Jefferson
83,800
Johnson
98,900
Lafayette
63,300
Lawrence
75,700
Lee
72,700
Lincoln
74,400
Little River
72,200
Logan
90,200
Lonoke
136,200
Madison
107,200
Marion
119,000
Miller
106,500
Mississippi
82,700
Monroe
64,300
Montgomery
106,700
Nevada
64,500
Newton
105,100
Ouachita
72,200
Perry
95,400
Phillips
68,200
Pike
82,300
Poinsett
75,500
Polk
90,100
Pope
125,000
Prairie
68,000
Pulaski
153,700
Randolph
82,400
Saline
151,700
Scott
72,800
Searcy
98,000
Sebastian
119,900
Sevier
79,200
Sharp
81,000
St. Francis
63,300
Stone
113,900
Union
82,800
Van Buren
101,600
Washington
167,600
White
121,300
Woodruff
66,200
Yell
110,500
Value for Arkansas (US Dollars): $123,300
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.
