South Dakota Households, 2009-2013 by County

Data Item State
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Households, 2009-2013 - (Number)
County Value
Aurora 1,102
Beadle 7,343
Bennett 1,059
Bon Homme 2,501
Brookings 11,979
Brown 15,590
Brule 2,094
Buffalo 542
Butte 4,015
Campbell 679
Charles Mix 3,191
Clark 1,431
Clay 5,145
Codington 11,566
Corson 1,185
Custer 3,731
Davison 8,471
Day 2,511
Deuel 1,789
Dewey 1,687
Douglas 1,258
Edmunds 1,589
Fall River 3,138
Faulk 930
Grant 3,159
Gregory 1,986
Haakon 807
Hamlin 2,041
Hand 1,429
Hanson 1,037
Harding 527
Hughes 6,992
Hutchinson 2,937
Hyde 549
Jackson 1,056
Jerauld 882
Jones 438
Kingsbury 2,311
Lake 4,655
Lawrence 10,597
Lincoln 17,250
Lyman 1,423
Marshall 1,683
McCook 2,186
McPherson 1,045
Meade 10,083
Mellette 698
Miner 1,053
Minnehaha 67,623
Moody 2,686
Pennington 40,723
Perkins 1,364
Potter 1,051
Roberts 3,646
Sanborn 1,051
Shannon 2,867
Spink 2,624
Stanley 1,273
Sully 606
Todd 2,680
Tripp 2,530
Turner 3,461
Union 5,758
Walworth 2,342
Yankton 8,698
Ziebach 803

Value for South Dakota (Number): 323,136

Source: U. S. Census Bureau, American Community Survey, 5-Year Estimates. Updated every year.


A household includes all the persons who occupy a housing unit as their usual place of residence. A housing unit is a house, an apartment, a mobile home, a group of rooms, or a single room that is occupied (or if vacant, is intended for occupancy) as separate living quarters. Separate living quarters are those in which the occupants live and eat separately from any other persons in the building and which have direct access from outside the building or through a common hall. The occupants may be a single family, one person living alone, two or more families living together, or any other group of related or unrelated persons who share living arrangements. (People not living in households are classified as living in group quarters.)

Persons per household, or average household size, is obtained by dividing the number of persons in households by the number of households (or householders).

Scope and Methodology:

These data are collected in the American Community Survey (ACS). The data for each geographic area are presented together with margins of error at The data are period estimates, that is, they represent the characteristics of the population over a specific 60-month data collection period.

Margins of Error (MOE). ACS estimates are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a MOE. The MOE used with ACS estimates can be interpreted as providing a 90 percent probability that the interval defined by the estimate plus the MOE and the estimate minus the MOE (the upper and lower confidence bounds) contains the full population value of the estimate.

For example, suppose the 5-year ACS reported the percentage of people 25 years and older in Birmingham, Alabama who had a bachelor's degree was 21.3 percent and that the MOE associated with this estimate is plus or minus (+/-) 0.9 percent. By adding and subtracting the MOE from the estimate, we can calculate the 90-percent confidence interval for this estimate at 21.3%, +/-0.9%:

21.3% - 0.9% = 20.4% = Lower-bound estimate
21.3% + 0.9% = 22.2% = Upper-bound estimate

Therefore, we can be 90 percent confident that the percent of the population in Birmingham, Alabama of age 25 years and older having a bachelor's degree in 2007-2011 falls somewhere between 20.4 percent and 22.2 percent.

For this Fact and other 5-year Social Characteristic Facts (listed below), their estimates and margins of errors or percents and percent margins of error can be found on Data Profile - Social Characteristics. This profile is displayed by geography. Click on the link for "Browse data sets for (geography picked)" near the top of the Quick facts profile page, click on the link for People QuickLinks/American Community Survey - "Social Characteristics" for the data profile.

Living in same house 1 year & over, percent;
Foreign born persons, percent;
Language other than English spoken at home, percent age 5 years and over;
High school graduates or higher, percent of persons age 25 years and over;
Bachelor's degree or higher, percent of persons age 25 years and over;
Persons per household.

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