Indiana Households, 2014-2018 by City

Data Item State
Households, 2014-2018 - (Number)
City Value
Anderson 23,086
Angola 3,304
Auburn 5,705
Avon 5,946
Batesville 2,718
Bedford 5,653
Beech Grove 5,862
Bloomington 30,897
Bluffton 4,155
Boonville 2,610
Brazil 3,208
Bright 2,021
Brownsburg 9,332
Carmel 33,738
Cedar Lake 4,448
Charlestown 3,054
Chesterton 5,437
Clarksville 8,795
Columbia City 3,896
Columbus 18,716
Connersville 5,665
Crawfordsville 6,595
Crown Point 11,184
Cumberland 2,073
Danville 3,633
Decatur 4,437
Dunlap 2,076
Dyer 6,042
East Chicago 10,160
Elkhart 20,018
Ellettsville 2,742
Elwood 3,433
Evansville 51,660
Fort Wayne 105,174
Frankfort 6,034
Franklin 9,234
Garrett 2,731
Gary 31,389
Gas City 2,452
Goshen 12,295
Granger 10,577
Greencastle 3,675
Greenfield 8,965
Greensburg 4,891
Greenwood 21,793
Griffith 6,620
Grissom AFB 784
Hammond 28,301
Hartford City 2,549
Hidden Valley 1,775
Highland 9,473
Hobart 10,922
Huntingburg 2,456
Huntington 6,821
Jasper 6,427
Jeffersonville 18,457
Kendallville 4,205
Kokomo 25,477
La Porte 9,214
Lafayette 30,942
Lake Station 4,086
Lakes of the Four Seasons 2,582
Lawrence 18,113
Lawrenceburg 2,098
Lebanon 6,783
Linton 2,298
Logansport 6,851
Lowell 3,510
Madison 4,936
Marion 10,953
Martinsville 4,349
Merrillville 13,884
Michigan City 12,439
Mishawaka 21,141
Monticello 2,130
Mooresville 3,779
Mount Vernon 2,733
Muncie 27,481
Munster 8,697
Nappanee 2,694
New Albany 15,158
New Castle 7,308
New Haven 6,193
New Whiteland 2,210
Noblesville 22,532
North Manchester 2,211
North Vernon 2,640
Notre Dame 138
Peru 4,751
Plainfield 11,936
Plymouth 3,839
Portage 14,570
Portland 2,543
Princeton 3,386
Rensselaer 2,351
Richmond 14,418
Rochester 2,485
Rushville 2,557
Salem 2,687
Schererville 11,734
Scottsburg 2,637
Sellersburg 3,206
Seymour 7,671
Shelbyville 7,710
South Bend 38,601
South Haven 1,876
Speedway 5,186
St. John 5,684
Tell City 3,095
Terre Haute 23,186
Tipton 2,155
Valparaiso 13,129
Vincennes 7,087
Wabash 4,548
Warsaw 6,029
Washington 4,643
West Lafayette 13,834
Westville 859
Yorktown 4,436
Zionsville 9,346

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

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). For the complete definition, go to ACS subject definitions "Average household size."

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-Social Characteristics

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