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.
Households with a computer, percent, 2014-2018 - (Percent)
County
Value
Adams
92.4
Alamosa
84.8
Arapahoe
94.6
Archuleta
91.7
Baca
80.5
Bent
82.0
Boulder
95.5
Broomfield
96.8
Chaffee
88.6
Cheyenne
85.7
Clear Creek
94.1
Conejos
72.7
Costilla
68.3
Crowley
83.1
Custer
93.4
Delta
82.4
Denver
91.8
Dolores
82.4
Douglas
98.0
Eagle
96.3
El Paso
93.8
Elbert
95.0
Fremont
87.3
Garfield
92.7
Gilpin
96.5
Grand
89.9
Gunnison
94.3
Hinsdale
88.6
Huerfano
76.1
Jackson
81.9
Jefferson
94.0
Kiowa
87.2
Kit Carson
84.0
La Plata
89.3
Lake
85.0
Larimer
95.2
Las Animas
80.0
Lincoln
86.4
Logan
86.7
Mesa
90.4
Mineral
90.4
Moffat
89.9
Montezuma
85.0
Montrose
84.3
Morgan
85.1
Otero
82.4
Ouray
92.8
Park
91.8
Phillips
91.5
Pitkin
94.6
Prowers
82.5
Pueblo
86.1
Rio Blanco
88.2
Rio Grande
75.2
Routt
94.6
Saguache
83.0
San Juan
86.8
San Miguel
95.4
Sedgwick
83.1
Summit
96.9
Teller
94.1
Washington
87.6
Weld
92.1
Yuma
86.0
Value for Colorado (Percent): 92.8%
Data item: Households with a computer, percent, 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.
Concept History:
The computer and Internet use questions were added to the ACS in 2013 and were mandated by the 2008 Broadband Improvement Act. Data about computer and Internet use were asked of all occupied housing units.
About
The computer use question asked if anyone in the household owned or used a computer and included four response categories for a desktop or laptop, a smartphone, a tablet or other portable wireless computer, or some other type of computer. Respondents who checked Yes for the some other type of computer category are asked to write in descriptions of their computer types. These are mostly used for internal purposes, although some people may write in a type of computer that can be reclassified as a desktop or laptop, a smartphone, or a tablet or other portable wireless computer. The Internet question asked if any member of the household accesses the Internet. Access refers to whether or not someone in the household uses or connects to the Internet, regardless of whether or not they pay for the service. For the complete definition, go to ACS subject definitions "Computer and Internet Use."
Limitation of the Data
These questions are not asked for the group quarters population, so would not include data about people living in housing such as dorms, prisons, nursing homes, etc.
Comparability
Data prior to 2013 are not available because 2013 was the first year that these questions were collected using the ACS. Data about computer and Internet use also has been collected sporadically from the Current Population Survey (CPS) since 1984. Both surveys exclude those living in group quarters. However, users should note CPS data is not necessarily comparable to ACS data in several important ways. First, unlike the ACS, some CPS questions are asked at the person level. In addition, the CPS questions and answer categories have changed multiple times over the years. Therefore, comparable data may not be available for certain questions during some years. In addition, some questions may appear to have similar wording as the ACS questions, but may not have been asked of the same type of people.
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:
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.