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
93.1
Alcorn
87.2
Amite
96.4
Attala
82.6
Benton
89.2
Bolivar
89.0
Calhoun
91.7
Carroll
93.2
Chickasaw
91.2
Choctaw
88.9
Claiborne
94.0
Clarke
93.9
Clay
90.0
Coahoma
85.1
Copiah
92.4
Covington
95.4
DeSoto
85.4
Forrest
79.0
Franklin
95.7
George
89.6
Greene
85.1
Grenada
84.9
Hancock
87.6
Harrison
79.7
Hinds
83.6
Holmes
94.8
Humphreys
94.5
Issaquena
78.8
Itawamba
88.5
Jackson
87.5
Jasper
91.8
Jefferson
97.0
Jefferson Davis
92.7
Jones
92.0
Kemper
90.6
Lafayette
75.0
Lamar
81.0
Lauderdale
85.0
Lawrence
94.3
Leake
90.4
Lee
85.1
Leflore
91.2
Lincoln
91.0
Lowndes
86.3
Madison
87.2
Marion
89.9
Marshall
90.3
Monroe
91.0
Montgomery
90.7
Neshoba
89.8
Newton
90.3
Noxubee
92.4
Oktibbeha
75.1
Panola
91.2
Pearl River
86.7
Perry
89.8
Pike
89.4
Pontotoc
85.8
Prentiss
88.0
Quitman
91.0
Rankin
85.0
Scott
91.2
Sharkey
92.0
Simpson
86.3
Smith
95.0
Stone
92.1
Sunflower
87.7
Tallahatchie
88.7
Tate
85.1
Tippah
90.9
Tishomingo
86.7
Tunica
84.0
Union
89.0
Walthall
91.7
Warren
90.5
Washington
87.6
Wayne
95.4
Webster
88.0
Wilkinson
93.2
Winston
87.2
Yalobusha
90.8
Yazoo
86.1
Value for Mississippi (Percent): 86.6%
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.