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.
Living in same house 1 year ago, percent of persons age 1 year+, 2014-2018 - (Percent)
County
Value
Adams
85.2
Antelope
90.7
Arthur
89.4
Banner
93.1
Blaine
84.6
Boone
89.8
Box Butte
83.7
Boyd
93.1
Brown
89.2
Buffalo
75.8
Burt
88.3
Butler
90.0
Cass
88.3
Cedar
88.9
Chase
89.2
Cherry
87.5
Cheyenne
87.3
Clay
87.4
Colfax
86.8
Cuming
92.5
Custer
87.3
Dakota
88.4
Dawes
75.3
Dawson
86.9
Deuel
86.7
Dixon
87.0
Dodge
85.2
Douglas
82.7
Dundy
75.6
Fillmore
88.7
Franklin
91.5
Frontier
83.6
Furnas
89.6
Gage
88.2
Garden
86.8
Garfield
90.9
Gosper
83.7
Grant
89.8
Greeley
90.2
Hall
83.8
Hamilton
90.0
Harlan
91.0
Hayes
94.7
Hitchcock
87.9
Holt
89.8
Hooker
88.7
Howard
94.3
Jefferson
89.1
Johnson
87.2
Kearney
91.1
Keith
87.9
Keya Paha
91.1
Kimball
81.3
Knox
88.0
Lancaster
78.6
Lincoln
84.2
Logan
84.5
Loup
95.3
Madison
82.8
McPherson
95.5
Merrick
87.7
Morrill
90.2
Nance
91.6
Nemaha
79.0
Nuckolls
90.2
Otoe
88.2
Pawnee
91.5
Perkins
89.0
Phelps
88.3
Pierce
89.4
Platte
88.3
Polk
93.2
Red Willow
86.2
Richardson
91.3
Rock
86.8
Saline
84.9
Sarpy
84.6
Saunders
87.6
Scotts Bluff
85.2
Seward
85.1
Sheridan
87.7
Sherman
96.1
Sioux
94.1
Stanton
90.0
Thayer
92.9
Thomas
79.8
Thurston
88.6
Valley
87.1
Washington
89.5
Wayne
81.6
Webster
88.1
Wheeler
90.4
York
85.6
Value for Nebraska (Percent): 83.8%
Data item: Living in same house 1 year ago, percent of persons age 1 year+, 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
Residence 1 year ago is used in conjunction with location of current residence to determine the extent of residential mobility of the population and the resulting redistribution of the population across the various states, metropolitan areas, and regions of the country. For the complete definition, go to ACS subject definitions "Residence 1 year ago."
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.
