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
87.0
Antelope
81.6
Arthur
81.9
Banner
88.5
Blaine
88.5
Boone
84.3
Box Butte
84.8
Boyd
77.7
Brown
80.4
Buffalo
90.1
Burt
79.2
Butler
82.8
Cass
91.6
Cedar
83.8
Chase
87.4
Cherry
81.6
Cheyenne
86.4
Clay
87.1
Colfax
81.9
Cuming
80.8
Custer
83.9
Dakota
88.9
Dawes
85.4
Dawson
86.6
Deuel
85.7
Dixon
84.9
Dodge
86.8
Douglas
89.0
Dundy
82.3
Fillmore
82.8
Franklin
82.3
Frontier
79.4
Furnas
80.7
Gage
84.0
Garden
88.2
Garfield
77.2
Gosper
84.8
Grant
84.0
Greeley
83.1
Hall
85.7
Hamilton
91.2
Harlan
85.3
Hayes
84.0
Hitchcock
79.5
Holt
84.8
Hooker
75.9
Howard
84.5
Jefferson
80.3
Johnson
80.1
Kearney
85.0
Keith
85.0
Keya Paha
83.1
Kimball
84.7
Knox
82.1
Lancaster
92.3
Lincoln
87.2
Logan
83.3
Loup
85.3
Madison
86.7
McPherson
79.3
Merrick
81.6
Morrill
84.2
Nance
81.2
Nemaha
85.9
Nuckolls
82.4
Otoe
85.3
Pawnee
73.8
Perkins
87.3
Phelps
88.0
Pierce
86.5
Platte
86.1
Polk
87.2
Red Willow
85.0
Richardson
83.3
Rock
81.8
Saline
85.1
Sarpy
94.7
Saunders
87.2
Scotts Bluff
85.6
Seward
88.1
Sheridan
77.5
Sherman
83.5
Sioux
81.2
Stanton
88.1
Thayer
81.6
Thomas
85.3
Thurston
80.3
Valley
80.9
Washington
91.8
Wayne
90.9
Webster
82.6
Wheeler
86.3
York
86.3
Value for Nebraska (Percent): 88.5%
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.