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
Arkansas
83.0
Ashley
82.3
Baxter
88.2
Benton
88.1
Boone
87.0
Bradley
82.0
Calhoun
82.7
Carroll
85.8
Chicot
80.7
Clark
89.2
Clay
80.7
Cleburne
84.7
Cleveland
88.6
Columbia
85.0
Conway
85.9
Craighead
89.1
Crawford
85.2
Crittenden
82.4
Cross
82.8
Dallas
83.6
Desha
78.8
Drew
85.1
Faulkner
91.3
Franklin
82.6
Fulton
84.6
Garland
88.4
Grant
91.5
Greene
87.3
Hempstead
81.0
Hot Spring
85.4
Howard
82.9
Independence
85.8
Izard
85.1
Jackson
78.9
Jefferson
86.0
Johnson
79.4
Lafayette
81.7
Lawrence
85.5
Lee
73.0
Lincoln
81.3
Little River
88.2
Logan
85.1
Lonoke
88.7
Madison
79.7
Marion
86.9
Miller
86.0
Mississippi
80.7
Monroe
77.1
Montgomery
78.2
Nevada
86.8
Newton
82.6
Ouachita
85.6
Perry
83.4
Phillips
78.4
Pike
84.8
Poinsett
80.6
Polk
84.6
Pope
84.8
Prairie
82.2
Pulaski
90.4
Randolph
82.7
Saline
90.4
Scott
78.9
Searcy
84.5
Sebastian
83.2
Sevier
74.3
Sharp
83.6
St. Francis
80.6
Stone
79.6
Union
84.8
Van Buren
85.8
Washington
85.0
White
85.4
Woodruff
80.0
Yell
80.1
Value for Arkansas (Percent): 86.2%
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.
