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
Adair
80.2
Alfalfa
86.8
Atoka
82.7
Beaver
84.2
Beckham
87.0
Blaine
82.5
Bryan
86.0
Caddo
85.5
Canadian
92.3
Carter
87.4
Cherokee
85.2
Choctaw
81.4
Cimarron
86.4
Cleveland
92.0
Coal
83.4
Comanche
89.6
Cotton
85.8
Craig
86.6
Creek
86.8
Custer
85.9
Delaware
83.9
Dewey
92.8
Ellis
87.3
Garfield
88.2
Garvin
85.7
Grady
89.2
Grant
90.1
Greer
84.2
Harmon
76.9
Harper
82.2
Haskell
81.7
Hughes
81.6
Jackson
82.8
Jefferson
82.9
Johnston
83.9
Kay
86.6
Kingfisher
87.0
Kiowa
83.7
Latimer
87.8
Le Flore
82.5
Lincoln
86.3
Logan
90.2
Love
84.2
Major
88.3
Marshall
80.8
Mayes
86.6
McClain
89.9
McCurtain
83.1
McIntosh
85.8
Murray
83.5
Muskogee
85.1
Noble
89.8
Nowata
89.0
Okfuskee
79.2
Oklahoma
87.2
Okmulgee
86.0
Osage
87.7
Ottawa
84.9
Pawnee
88.3
Payne
91.8
Pittsburg
86.9
Pontotoc
88.7
Pottawatomie
87.6
Pushmataha
83.5
Roger Mills
89.7
Rogers
92.1
Seminole
84.6
Sequoyah
80.8
Stephens
87.4
Texas
73.2
Tillman
77.5
Tulsa
89.2
Wagoner
90.4
Washington
90.7
Washita
89.6
Woods
89.2
Woodward
88.1
Value for Oklahoma (Percent): 87.8%
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.
