Georgia Median value of owner-occupied housing units, 2014-2018 by County

Embed this in your blog

Preview
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.
Recommended:
Data Item
State
Loading map...
Median value of owner-occupied housing units, 2014-2018 - (US Dollars)
County Value
Appling 75,900
Atkinson 60,100
Bacon 73,000
Baker 75,500
Baldwin 112,500
Banks 142,800
Barrow 146,500
Bartow 151,700
Ben Hill 80,100
Berrien 85,300
Bibb 116,500
Bleckley 97,900
Brantley 68,200
Brooks 96,900
Bryan 211,800
Bulloch 135,200
Burke 87,900
Butts 121,800
Calhoun 49,000
Camden 159,800
Candler 91,200
Carroll 130,200
Catoosa 140,000
Charlton 82,600
Chatham 184,900
Chattahoochee 69,000
Chattooga 69,600
Cherokee 234,300
Clarke 163,700
Clay 65,900
Clayton 97,800
Clinch 57,100
Cobb 237,800
Coffee 92,600
Colquitt 83,200
Columbia 192,200
Cook 88,100
Coweta 201,500
Crawford 92,900
Crisp 85,200
Dade 126,700
Dawson 215,500
Decatur 109,700
DeKalb 192,400
Dodge 75,800
Dooly 83,700
Dougherty 103,900
Douglas 153,100
Early 81,700
Echols 58,900
Effingham 159,100
Elbert 80,600
Emanuel 74,100
Evans 86,200
Fannin 185,600
Fayette 269,900
Floyd 129,600
Forsyth 321,000
Franklin 106,200
Fulton 290,400
Gilmer 171,000
Glascock 63,800
Glynn 168,700
Gordon 127,400
Grady 112,500
Greene 207,700
Gwinnett 200,400
Habersham 146,000
Hall 183,200
Hancock 79,800
Haralson 116,900
Harris 210,100
Hart 126,900
Heard 96,900
Henry 165,900
Houston 138,600
Irwin 74,300
Jackson 174,000
Jasper 122,300
Jeff Davis 76,500
Jefferson 74,300
Jenkins 66,500
Johnson 66,700
Jones 123,400
Lamar 134,500
Lanier 105,000
Laurens 88,800
Lee 153,000
Liberty 121,500
Lincoln 117,500
Long 116,700
Lowndes 135,100
Lumpkin 181,600
Macon 63,700
Madison 126,800
Marion 89,500
McDuffie 105,300
McIntosh 120,300
Meriwether 98,000
Miller 93,300
Mitchell 86,200
Monroe 163,800
Montgomery 79,400
Morgan 224,800
Murray 100,200
Muscogee 141,700
Newton 139,900
Oconee 268,100
Oglethorpe 117,000
Paulding 161,400
Peach 128,600
Pickens 185,700
Pierce 98,800
Pike 165,800
Polk 105,400
Pulaski 113,500
Putnam 165,300
Quitman 65,900
Rabun 164,900
Randolph 77,300
Richmond 104,700
Rockdale 157,100
Schley 111,600
Screven 77,000
Seminole 89,500
Spalding 122,300
Stephens 94,300
Stewart 50,900
Sumter 90,300
Talbot 80,000
Taliaferro 67,100
Tattnall 88,500
Taylor 82,700
Telfair 64,000
Terrell 103,300
Thomas 133,800
Tift 118,900
Toombs 95,500
Towns 205,600
Treutlen 70,900
Troup 129,200
Turner 74,000
Twiggs 63,200
Union 197,200
Upson 87,200
Walker 114,000
Walton 175,500
Ware 82,000
Warren 61,300
Washington 83,300
Wayne 107,900
Webster 60,800
Wheeler 63,300
White 166,100
Whitfield 126,900
Wilcox 68,200
Wilkes 81,200
Wilkinson 70,300
Worth 85,600

Value for Georgia (US Dollars): $166,800

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

More Information