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
Alcona
99,800
Alger
123,500
Allegan
157,400
Alpena
95,600
Antrim
157,600
Arenac
90,000
Baraga
102,700
Barry
154,100
Bay
100,500
Benzie
172,000
Berrien
146,300
Branch
104,100
Calhoun
105,300
Cass
134,700
Charlevoix
162,900
Cheboygan
125,100
Chippewa
112,300
Clare
88,400
Clinton
167,900
Crawford
101,400
Delta
110,500
Dickinson
99,600
Eaton
147,300
Emmet
178,300
Genesee
104,800
Gladwin
104,700
Gogebic
69,900
Grand Traverse
194,200
Gratiot
94,300
Hillsdale
112,000
Houghton
106,900
Huron
97,300
Ingham
129,000
Ionia
122,600
Iosco
91,100
Iron
77,800
Isabella
131,500
Jackson
124,100
Kalamazoo
153,800
Kalkaska
108,200
Kent
163,500
Keweenaw
113,500
Lake
84,400
Lapeer
159,000
Leelanau
256,300
Lenawee
133,300
Livingston
233,400
Luce
83,800
Mackinac
135,000
Macomb
157,700
Manistee
120,900
Marquette
149,900
Mason
137,700
Mecosta
117,700
Menominee
95,800
Midland
137,600
Missaukee
111,400
Monroe
155,700
Montcalm
107,400
Montmorency
100,000
Muskegon
111,000
Newaygo
111,200
Oakland
228,800
Oceana
112,200
Ogemaw
93,400
Ontonagon
68,300
Osceola
93,500
Oscoda
86,800
Otsego
135,500
Ottawa
179,300
Presque Isle
102,300
Roscommon
102,700
Saginaw
97,700
Sanilac
106,400
Schoolcraft
109,300
Shiawassee
115,300
St. Clair
146,500
St. Joseph
115,100
Tuscola
101,300
Van Buren
131,400
Washtenaw
246,000
Wayne
102,700
Wexford
100,200
Value for Michigan (US Dollars): $146,200
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.
