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
83.0
Alamosa
86.5
Arapahoe
92.4
Archuleta
92.0
Baca
84.8
Bent
85.8
Boulder
95.1
Broomfield
96.8
Chaffee
92.9
Cheyenne
90.1
Clear Creek
98.3
Conejos
86.6
Costilla
78.5
Crowley
84.8
Custer
93.0
Delta
90.4
Denver
87.1
Dolores
91.8
Douglas
98.0
Eagle
89.3
El Paso
93.7
Elbert
96.7
Fremont
90.3
Garfield
87.8
Gilpin
97.6
Grand
95.5
Gunnison
97.2
Hinsdale
93.8
Huerfano
91.5
Jackson
87.6
Jefferson
94.4
Kiowa
95.9
Kit Carson
88.5
La Plata
95.0
Lake
85.5
Larimer
95.8
Las Animas
87.8
Lincoln
90.3
Logan
89.5
Mesa
90.1
Mineral
96.8
Moffat
90.9
Montezuma
89.5
Montrose
88.8
Morgan
80.1
Otero
85.4
Ouray
98.4
Park
97.0
Phillips
88.2
Pitkin
96.3
Prowers
82.1
Pueblo
89.4
Rio Blanco
92.8
Rio Grande
84.3
Routt
96.8
Saguache
80.4
San Juan
92.9
San Miguel
95.0
Sedgwick
90.1
Summit
93.3
Teller
95.8
Washington
92.5
Weld
88.1
Yuma
88.1
Value for Colorado (Percent): 91.4%
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.
