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.
High school graduate or higher, percent of persons age 25 years+, 2014-2018 - (Percent)
County
Value
Adams
79.2
Allen
89.6
Ashland
88.6
Ashtabula
86.0
Athens
89.6
Auglaize
93.2
Belmont
90.4
Brown
87.4
Butler
90.3
Carroll
88.7
Champaign
90.7
Clark
87.5
Clermont
90.2
Clinton
88.5
Columbiana
87.8
Coshocton
84.2
Crawford
90.3
Cuyahoga
89.3
Darke
90.7
Defiance
92.0
Delaware
96.7
Erie
91.9
Fairfield
92.4
Fayette
86.1
Franklin
91.0
Fulton
91.2
Gallia
81.8
Geauga
90.5
Greene
93.4
Guernsey
85.9
Hamilton
91.0
Hancock
92.3
Hardin
89.5
Harrison
85.8
Henry
93.1
Highland
84.2
Hocking
89.7
Holmes
57.6
Huron
88.2
Jackson
84.5
Jefferson
90.3
Knox
90.7
Lake
92.0
Lawrence
86.5
Licking
91.2
Logan
91.3
Lorain
89.7
Lucas
89.2
Madison
87.0
Mahoning
90.9
Marion
87.6
Medina
94.9
Meigs
82.8
Mercer
91.7
Miami
90.2
Monroe
88.1
Montgomery
90.1
Morgan
86.5
Morrow
86.6
Muskingum
87.3
Noble
85.1
Ottawa
92.0
Paulding
89.3
Perry
85.7
Pickaway
87.2
Pike
81.0
Portage
92.1
Preble
89.4
Putnam
93.2
Richland
86.8
Ross
86.7
Sandusky
90.2
Scioto
84.8
Seneca
91.2
Shelby
90.1
Stark
91.3
Summit
91.6
Trumbull
89.1
Tuscarawas
85.9
Union
92.6
Van Wert
91.0
Vinton
79.8
Warren
93.5
Washington
90.9
Wayne
86.0
Williams
89.5
Wood
94.1
Wyandot
90.9
Value for Ohio (Percent): 90.1%
Data item: High school graduate 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 errors. 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.
