Indiana Educational attainment - persons 25 years and over - percent bachelor's degree or higher by City

Data Item State
Bachelor's degree or higher, percent of persons age 25 years+, 2014-2018 - (Percent)
City Value
Anderson 15.2
Angola 21.5
Auburn 20.7
Avon 40.0
Batesville 31.4
Bedford 15.7
Beech Grove 18.1
Bloomington 55.8
Bluffton 15.5
Boonville 14.4
Brazil 14.2
Bright 23.8
Brownsburg 36.9
Carmel 71.9
Cedar Lake 21.3
Charlestown 12.2
Chesterton 32.1
Clarksville 17.5
Columbia City 25.5
Columbus 41.3
Connersville 10.2
Crawfordsville 18.5
Crown Point 32.6
Cumberland 25.2
Danville 31.9
Decatur 11.8
Dunlap 17.9
Dyer 32.3
East Chicago 9.1
Elkhart 13.9
Ellettsville 25.7
Elwood 10.3
Evansville 21.1
Fort Wayne 27.6
Frankfort 11.4
Franklin 24.6
Garrett 11.3
Gary 13.2
Gas City 9.7
Goshen 21.8
Granger 54.4
Greencastle 16.6
Greenfield 22.6
Greensburg 19.5
Greenwood 30.2
Griffith 20.3
Grissom AFB 11.8
Hammond 14.2
Hartford City 14.3
Hidden Valley 38.2
Highland 28.4
Hobart 21.3
Huntingburg 12.6
Huntington 16.3
Jasper 26.1
Jeffersonville 22.6
Kendallville 12.4
Kokomo 17.7
La Porte 16.1
Lafayette 24.7
Lake Station 6.9
Lakes of the Four Seasons 27.9
Lawrence 33.2
Lawrenceburg 13.0
Lebanon 26.6
Linton 15.7
Logansport 11.3
Lowell 20.9
Madison 20.1
Marion 13.9
Martinsville 10.1
Merrillville 25.1
Michigan City 16.7
Mishawaka 25.0
Monticello 11.3
Mooresville 13.5
Mount Vernon 15.3
Muncie 23.7
Munster 44.9
Nappanee 17.5
New Albany 21.5
New Castle 14.5
New Haven 16.2
New Whiteland 22.7
Noblesville 45.0
North Manchester 30.4
North Vernon 10.7
Notre Dame 81.2
Peru 10.5
Plainfield 30.4
Plymouth 17.6
Portage 15.7
Portland 7.2
Princeton 11.5
Rensselaer 16.2
Richmond 18.1
Rochester 11.8
Rushville 12.8
Salem 15.7
Schererville 32.6
Scottsburg 13.9
Sellersburg 24.7
Seymour 18.7
Shelbyville 17.2
South Bend 24.7
South Haven 8.3
Speedway 32.0
St. John 38.7
Tell City 16.4
Terre Haute 22.8
Tipton 18.8
Valparaiso 40.2
Vincennes 16.3
Wabash 12.3
Warsaw 29.8
Washington 14.3
West Lafayette 71.4
Westville 5.5
Yorktown 29.2
Zionsville 70.8

Data item: Bachelor's degree or higher, percent of persons age 25 years+, 2014-2018

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

High School Graduates include people whose highest degree was a high school diploma or its equivalent, people who attended college but did not receive a degree, and people who received an associate's, bachelor's, master's, or professional or doctorate degree. People who reported completing the 12th grade but not receiving a diploma are not included. Persons with a Bachelor's Degree or Higher are those who have received a bachelor's degree from a college or university, or a master's, professional, or doctorate degree. For the complete definition, go to ACS subject definitions "Educational Attainment."

These data include only persons 25 years old and over. The percentages are obtained by dividing the counts of graduates by the total number of persons 25 years old and over.

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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