Texas Population Percentage Living in Same House 1 Year and Over by County

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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.
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Data Item
State
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Living in same house 1 year ago, percent of persons age 1 year+, 2014-2018 - (Percent)
County Value
Anderson 85.7
Andrews 83.6
Angelina 82.5
Aransas 85.4
Archer 90.2
Armstrong 94.2
Atascosa 86.1
Austin 90.9
Bailey 90.6
Bandera 82.4
Bastrop 86.1
Baylor 84.9
Bee 82.4
Bell 75.3
Bexar 83.1
Blanco 88.3
Borden 89.6
Bosque 85.5
Bowie 89.2
Brazoria 88.0
Brazos 70.1
Brewster 82.3
Briscoe 87.5
Brooks 76.5
Brown 91.0
Burleson 87.8
Burnet 88.1
Caldwell 85.7
Calhoun 87.4
Callahan 89.9
Cameron 91.4
Camp 89.2
Carson 84.7
Cass 93.0
Castro 90.7
Chambers 91.9
Cherokee 88.1
Childress 87.0
Clay 86.3
Cochran 83.0
Coke 89.5
Coleman 94.5
Collin 85.3
Collingsworth 93.1
Colorado 92.2
Comal 86.0
Comanche 91.9
Concho 87.9
Cooke 83.2
Coryell 76.6
Cottle 77.0
Crane 92.5
Crockett 89.8
Crosby 83.5
Culberson 88.2
Dallam 81.5
Dallas 83.9
Dawson 78.3
Deaf Smith 89.7
Delta 85.9
Denton 80.8
DeWitt 89.4
Dickens 83.9
Dimmit 92.9
Donley 82.9
Duval 81.2
Eastland 86.8
Ector 82.7
Edwards 96.4
El Paso 85.3
Ellis 87.6
Erath 80.4
Falls 87.7
Fannin 81.0
Fayette 94.5
Fisher 89.7
Floyd 89.1
Foard 88.5
Fort Bend 87.3
Franklin 91.6
Freestone 86.5
Frio 83.1
Gaines 85.1
Galveston 83.3
Garza 65.7
Gillespie 89.0
Glasscock 84.5
Goliad 92.2
Gonzales 87.6
Gray 82.6
Grayson 82.4
Gregg 80.7
Grimes 85.8
Guadalupe 87.3
Hale 81.6
Hall 82.9
Hamilton 91.5
Hansford 87.6
Hardeman 86.0
Hardin 89.0
Harris 83.8
Harrison 91.1
Hartley 85.8
Haskell 80.4
Hays 80.0
Hemphill 85.7
Henderson 86.7
Hidalgo 90.6
Hill 84.3
Hockley 83.1
Hood 89.5
Hopkins 83.0
Houston 92.8
Howard 82.3
Hudspeth 76.2
Hunt 82.9
Hutchinson 88.5
Irion 87.4
Jack 82.9
Jackson 86.4
Jasper 87.7
Jeff Davis 91.8
Jefferson 85.1
Jim Hogg 89.6
Jim Wells 90.8
Johnson 90.6
Jones 74.9
Karnes 85.8
Kaufman 84.9
Kendall 83.8
Kenedy 93.3
Kent 77.7
Kerr 84.0
Kimble 86.2
King 96.5
Kinney 81.0
Kleberg 80.8
Knox 82.0
La Salle 82.3
Lamar 84.6
Lamb 83.3
Lampasas 91.1
Lavaca 86.2
Lee 87.0
Leon 88.4
Liberty 82.4
Limestone 86.7
Lipscomb 88.0
Live Oak 84.0
Llano 84.6
Loving 100.0
Lubbock 74.7
Lynn 83.2
Madison 85.8
Marion 91.6
Martin 90.7
Mason 84.6
Matagorda 88.2
Maverick 88.4
McCulloch 82.3
McLennan 80.3
McMullen 92.7
Medina 85.8
Menard 87.7
Midland 82.0
Milam 87.4
Mills 88.4
Mitchell 76.7
Montague 84.4
Montgomery 84.9
Moore 87.6
Morris 90.4
Motley 78.5
Nacogdoches 77.1
Navarro 85.5
Newton 95.1
Nolan 82.7
Nueces 82.1
Ochiltree 91.0
Oldham 87.0
Orange 84.1
Palo Pinto 82.2
Panola 88.0
Parker 86.3
Parmer 87.0
Pecos 85.8
Polk 83.3
Potter 80.4
Presidio 82.9
Rains 91.1
Randall 82.4
Reagan 85.1
Real 86.1
Red River 90.2
Reeves 83.0
Refugio 89.8
Roberts 94.7
Robertson 85.5
Rockwall 86.3
Runnels 93.5
Rusk 81.3
Sabine 84.4
San Augustine 90.5
San Jacinto 87.0
San Patricio 82.3
San Saba 85.3
Schleicher 95.2
Scurry 89.3
Shackelford 88.1
Shelby 84.4
Sherman 91.1
Smith 85.9
Somervell 91.9
Starr 91.2
Stephens 82.7
Sterling 92.3
Stonewall 86.7
Sutton 85.8
Swisher 82.8
Tarrant 83.1
Taylor 77.0
Terrell 96.2
Terry 76.6
Throckmorton 87.0
Titus 91.6
Tom Green 82.9
Travis 80.8
Trinity 87.7
Tyler 84.4
Upshur 87.3
Upton 87.9
Uvalde 88.0
Val Verde 86.5
Van Zandt 88.1
Victoria 83.5
Walker 80.3
Waller 85.5
Ward 82.7
Washington 88.5
Webb 88.9
Wharton 90.1
Wheeler 87.8
Wichita 79.5
Wilbarger 74.3
Willacy 90.3
Williamson 82.5
Wilson 90.5
Winkler 88.9
Wise 86.8
Wood 83.6
Yoakum 92.2
Young 89.0
Zapata 86.1
Zavala 88.3

Value for Texas (Percent): 84.1%

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:

21.3% - 0.7% = 20.6% => Lower-bound estimate
21.3% + 0.7% = 22.0% => Upper-bound 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.

For this Fact, its estimates and margins of error along with percents and percent margins of errors can be found on American Community Survey, Data Profiles-Social Characteristics

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