Texas State Data Center and Office of the State Demographer

2005 Total Population Estimates for Texas Counties

Estimates of the Total Populations of Counties and Places in Texas for July 1, 2005 and January 1, 2006

produced by:

Population Estimates and Projections Program
Texas State Data Center
Office of the State Demographer
Institute for Demographic and Socioeconomic Research
The University of Texas at San Antonio

November 2006


The attached are estimates of the total population for counties and places in Texas for July 1, 2005 and January 1, 2006 completed by personnel from the Texas State Data Center offices in the Institute for Demographic and Socioeconomic Research at the University of Texas at San Antonio. In this brief report, the methodology used to prepare the estimates is described. Because of space limitations, only a summary of the methodology is presented. Those wishing to obtain a more complete description of the estimation procedures and of the historical and sensitivity analyses used to select the methods employed in these estimates should contact program personnel in the Texas State Data Center at the University of Texas at San Antonio.


Estimation Methodology

Methodology for County Estimates

The estimates reported for counties are the averages of estimates made using ratio-correlation, component-method II, and housing-unit methods. Ratio-correlation procedures utilize multiple regression techniques with the ratio of variable values for adjacent time periods rather than simply the variable values themselves being used as independent and dependent variables. After an extensive evaluation of the relative accuracy of alternative procedures (including difference-rate, ratio-correlation and rate-correlation methods) and an analysis of alternative variables, a simple ratio-correlation model was employed to complete the final estimates. This model used the variables of births, deaths, elementary school enrollment, vehicle registration, and voter registration.

The component-method II procedure employed utilizes data on births, deaths and elementary school enrollment to estimate population. In this method, migration of the school-age population is assumed to be indicative of migration in the total population (with adjustments being made for the historical differences between the school-age migration rate and the total population's rate of migration). Data on public school enrollment from the Texas Education Agency and data from the Texas State Data Center's survey of private schools in Texas are used to estimate change in the school-age population. Data on institutional populations were obtained from applicable institutions, while data on other special populations, such as the elderly population were obtained from the U.S. Bureau of the Census.

The housing-unit method used is of the standard form with change in the number of housing units in the housing stock of an area, from the base date (in this case, the 2000 Census) to the estimate date (in this case, July 1, 2005), being used to estimate population change. New housing additions and demolitions are taken from the U.S. Bureau of the Census survey of building permits and demolitions and the Texas State Data Center survey of counties and cities issuing permits for residential buildings and demolitions. Both the U.S. Census Bureau's building permit survey and the Texas State Data Center's survey can only collect data from permit issuing county and city jurisdictions (methods for dealing with non-permit issuing places are discussed later). Assumptions about vacancy rates and average household size are then used in conjunction with data on the number of housing units in an estimate area (including those in the area at the base date and the net number of units added to, or subtracted from, the base housing stock for the time period between the base date and the estimate date). Separate estimates are completed by type of structure with the types used being single-family structures, 2-to-4 unit structures, structures with 5 or more units, and mobile homes. For purposes of the 2005 estimates, 2000 vacancy rates and average household sizes for each of the housing structure types were assumed to prevail as of the estimate date of July 1, 2005. For 2005, the estimates of the number of new mobile homes added to an area's housing stock were obtained from the Texas State Data Center's survey of building permits and demolitions. The sum of mobile homes from the survey was subtracted from the U.S. Bureau of the Census' estimate of the total number of mobile homes shipped to Texas. The difference was allocated to jurisdictions on the basis of the change in units in jurisdictions for other housing types from 2000 to the estimate date of July 1, 2005.

The average of the component-method II, ratio-correlation and housing- unit population estimates is used as the population estimate for July 1, 2005 with the total for all counties being controlled to the July 1, 2005 estimate for the State obtained from the U.S. Bureau of the Census. Prior to the release of these estimates, county estimates were evaluated for consistency and reasonableness by comparing them to those from other State and local agencies.

The January 1, 2006 estimates are obtained by adding births to, and subtracting deaths from July 1, 2005 through December 31, 2005, to the July 1, 2005 estimates and assuming that July 1, 2004 to July 1, 2005 rates of migration continue from July 1, 2005 to January 1, 2006. The State and county estimates are obtained using the same method with the sum of the county estimates controlled to the State estimate.

The values for January 1, 2006 DO NOT account for any hurricane-related effects. These effects cannot be accurately estimated with the data available to date but should be at least partially accounted for in the next year's set of estimates.

Methodology for Place Estimates

For places, population estimates were made using the same three methods as used for county estimates. To complete the component-method II estimates for places for 2005, standard component procedures were applied to 2000 Census population counts for places. County-level birth and death data for 2000-05 from the Texas Department of State Health Services and 2000-05 data from the Texas Education Agency on public school enrollment and from the Texas State Data Center survey of private schools on enrollment in private schools were used in this procedure. In addition, data on Medicare enrollment and on the net movement of persons from the military to the civilian population were obtained for counties from the U.S. Bureau of the Census. Values for each of these items were allocated from counties to places prior to the completion of the place estimates. Such allocation procedures were necessary because data items that were available for places (such as birth and death data) showed year-to-year fluctuations and reporting errors that made the direct use of place-level data problematic. The general allocation procedures used for these items involved population subgroups closely associated with the item being allocated (i.e., women of child-bearing age for fertility, school-age population for school enrollment, the total population for deaths, persons 65+ years of age for Medicare enrollment, and the population 14-17 years of age for net movement). The number in the appropriate subgroups for each place and the remainder of the county in each county in 2000 were survived (using state-level survival rates for 1999-2001) to July 1, 2005, and the sum of the survived groups in each place and the remainder of the county were controlled to the county total for the item as reported from the appropriate agency to obtain the value for each place. Place estimates were completed for July 1, 2005 and adjusted to account for population changes due to annexations or other boundary changes as obtained from the annual Texas State Data Center Boundary and Annexation Survey.

The housing unit estimates for places were completed using the same general procedures delineated above (for counties) except that it was necessary to use procedures to allocate new housing units and demolitions to places that were not reporting jurisdictions. This was done by taking the difference between the county totals for new building permits and demolitions and the sum of values for places for which data were reported for a county and proportionally allocating the difference to the nonreporting places. For the 2005 estimates, the allocation was done on the basis of the nonreporting places' proportions of county housing stocks as reported in the 2000 Census.

The third method used is the ratio-correlation method. Ratio correlation estimates were made to allocate county populations to places (and non-place areas) using births, deaths and housing units for places as estimation items.

The estimates for place populations from the three methods were averaged to provide a July 1, 2005 estimate of the total population for each place. The sum of the estimated populations for places in each county (and for that part of each county's population not living in places) were controlled to county totals to ensure consistency with the county estimates.

The January 1, 2006 place estimates are prepared using the same extrapolative procedures as described above for the State and county. Place estimates for each county for January 1, 2006 are controlled to the county estimate for January 1, 2006.

Comparisons to U.S. Census Bureau Estimates

The estimates presented here differ from those from sources such as those periodically produced by the U.S. Census Bureau for several reasons. These estimates have been made using techniques that are different than those used by the Bureau. The Census Bureau uses only the distributive housing unit method to estimate place populations and the administrative records method to estimate county populations. Because the administrative records method uses income tax data that are not available to analysts outside the Census Bureau, this technique can not be used by other agencies. In addition, the estimates reported in the following pages utilize more recent data than those used by the U.S. Bureau of the Census. The Census Bureau's county estimates utilize 2004 birth and death data, whereas 2005 values were employed in the Texas State Data Center estimates reported here. Also, the Census Bureau utilizes birth and death data only in their county level estimates while the Texas State Data Center includes current births and deaths in both county and place level estimates. Finally, the Census Bureau estimates do not include information on annexation and boundary changes for places later than 2003 whereas information through 2005 was included in the estimates completed by the Texas program. Because of these differences, the population estimates presented here and those from the U.S. Bureau of the Census are not directly comparable.

If you have any questions concerning these estimates, please contact:

Dr. Steve H. Murdock, State Demographer
Texas State Data Center
Institute for Demographic and Socioeconomic Research
University of Texas at San Antonio
One UTSA Circle
San Antonio, Texas 78249-0704
(210) 458-6543


Table 1
Texas State Data Center Population Estimates Program July 1, 2005 and January 1, 2006 Estimates of the Total Population of Counties and 2000-2005 and 2000-2006 Population Change for All Counties in Texas
               
County 2000
Census
Count
July 1, 2005
Population
Estimate
January 1, 2006
Population
Estimate
Numerical
Change
2000-05
Numerical
Change
2000-06
Percent
Change
2000-05
Percent
Change
2000-06
               
Anderson 55,109 55,965 55,949 856 840 1.6 1.5
Andrews 13,004 12,763 12,696 -241 -308 -1.9 -2.4
Angelina 80,130 82,055 82,207 1,925 2,077 2.4 2.6
Aransas 22,497 24,521 24,745 2,024 2,248 9.0 10.0
Archer 8,854 9,172 9,127 318 273 3.6 3.1
Armstrong 2,148 2,150 2,149 2 1 0.1 0.0
Atascosa 38,628 41,892 41,528 3,264 2,900 8.4 7.5
Austin 23,590 26,151 26,327 2,561 2,737 10.9 11.6
Bailey 6,594 6,551 6,548 -43 -46 -0.7 -0.7
Bandera 17,645 19,529 19,524 1,884 1,879 10.7 10.6
Bastrop 57,733 69,516 70,139 11,783 12,406 20.4 21.5
Baylor 4,093 4,020 4,008 -73 -85 -1.8 -2.1
Bee 32,359 33,211 33,215 852 856 2.6 2.6
Bell 237,974 260,526 264,960 22,552 26,986 9.5 11.3
Bexar 1,392,931 1,510,556 1,522,142 117,625 129,211 8.4 9.3
Blanco 8,418 9,387 9,489 969 1,071 11.5 12.7
Borden 729 719 724 -10 -5 -1.4 -0.7
Bosque 17,204 18,156 18,303 952 1,099 5.5 6.4
Bowie 89,306 92,271 92,735 2,965 3,429 3.3 3.8
Brazoria 241,767 276,956 280,276 35,189 38,509 14.6 15.9
Brazos 152,415 160,863 160,661 8,448 8,246 5.5 5.4
Brewster 8,866 9,204 9,189 338 323 3.8 3.6
Briscoe 1,790 1,547 1,494 -243 -296 -13.6 -16.5
Brooks 7,976 7,627 7,508 -349 -468 -4.4 -5.9
Brown 37,674 38,181 38,147 507 473 1.3 1.3
Burleson 16,470 17,835 18,000 1,365 1,530 8.3 9.3
Burnet 34,147 39,489 40,116 5,342 5,969 15.6 17.5
Caldwell 32,194 35,426 35,383 3,232 3,189 10.0 9.9
Calhoun 20,647 20,600 20,561 -47 -86 -0.2 -0.4
Callahan 12,905 13,495 13,576 590 671 4.6 5.2
Cameron 335,227 378,074 380,992 42,847 45,765 12.8 13.7
Camp 11,549 12,634 12,712 1,085 1,163 9.4 10.1
Carson 6,516 6,485 6,522 -31 6 -0.5 0.1
Cass 30,438 30,320 30,302 -118 -136 -0.4 -0.4
Castro 8,285 7,668 7,657 -617 -628 -7.4 -7.6
Chambers 26,031 31,805 33,037 5,774 7,006 22.2 26.9
Cherokee 46,659 48,486 48,741 1,827 2,082 3.9 4.5
Childress 7,688 7,692 7,716 4 28 0.1 0.4
Clay 11,006 11,274 11,216 268 210 2.4 1.9
Cochran 3,730 3,578 3,605 -152 -125 -4.1 -3.4
Coke 3,864 3,969 4,010 105 146 2.7 3.8
Coleman 9,235 8,869 8,754 -366 -481 -4.0 -5.2
Collin 491,675 655,687 671,909 164,012 180,234 33.4 36.7
Collingsworth 3,206 3,041 3,049 -165 -157 -5.1 -4.9
Colorado 20,390 21,039 20,935 649 545 3.2 2.7
Comal 78,021 95,549 97,990 17,528 19,969 22.5 25.6
Comanche 14,026 13,978 13,946 -48 -80 -0.3 -0.6
Concho 3,966 3,848 3,826 -118 -140 -3.0 -3.5
Cooke 36,363 38,843 38,957 2,480 2,594 6.8 7.1
Coryell 74,978 75,482 75,963 504 985 0.7 1.3
Cottle 1,904 1,654 1,659 -250 -245 -13.1 -12.9
Crane 3,996 3,842 3,786 -154 -210 -3.9 -5.3
Crockett 4,099 4,032 4,011 -67 -88 -1.6 -2.1
Crosby 7,072 6,612 6,641 -460 -431 -6.5 -6.1
Culberson 2,975 2,692 2,663 -283 -312 -9.5 -10.5
Dallam 6,222 6,238 6,217 16 -5 0.3 -0.1
Dallas 2,218,899 2,300,359 2,304,909 81,460 86,010 3.7 3.9
Dawson 14,985 14,315 14,387 -670 -598 -4.5 -4.0
Deaf Smith 18,561 18,602 18,616 41 55 0.2 0.3
Delta 5,327 5,273 5,237 -54 -90 -1.0 -1.7
Denton 432,976 558,450 571,415 125,474 138,439 29.0 32.0
De Witt 20,013 20,600 20,713 587 700 2.9 3.5
Dickens 2,762 2,849 2,851 87 89 3.1 3.2
Dimmit 10,248 10,081 10,033 -167 -215 -1.6 -2.1
Donley 3,828 3,902 3,860 74 32 1.9 0.8
Duval 13,120 12,882 12,813 -238 -307 -1.8 -2.3
Eastland 18,297 18,460 18,465 163 168 0.9 0.9
Ector 121,123 124,549 124,510 3,426 3,387 2.8 2.8
Edwards 2,162 2,057 2,056 -105 -106 -4.9 -4.9
Ellis 111,360 133,010 134,895 21,650 23,535 19.4 21.1
El Paso 679,622 726,006 731,534 46,384 51,912 6.8 7.6
Erath 33,001 33,999 34,124 998 1,123 3.0 3.4
Falls 18,576 18,110 18,015 -466 -561 -2.5 -3.0
Fannin 31,242 33,843 34,071 2,601 2,829 8.3 9.1
Fayette 21,804 23,019 23,019 1,215 1,215 5.6 5.6
Fisher 4,344 4,257 4,307 -87 -37 -2.0 -0.9
Floyd 7,771 7,084 7,007 -687 -764 -8.8 -9.8
Foard 1,622 1,479 1,460 -143 -162 -8.8 -10.0
Fort Bend 354,452 455,991 467,792 101,539 113,340 28.6 32.0
Franklin 9,458 10,046 10,166 588 708 6.2 7.5
Freestone 17,867 19,048 19,156 1,181 1,289 6.6 7.2
Frio 16,252 16,376 16,490 124 238 0.8 1.5
Gaines 14,467 14,897 15,037 430 570 3.0 3.9
Galveston 250,158 275,338 277,459 25,180 27,301 10.1 10.9
Garza 4,872 4,946 4,903 74 31 1.5 0.6
Gillespie 20,814 23,532 23,983 2,718 3,169 13.1 15.2
Glasscock 1,406 1,261 1,319 -145 -87 -10.3 -6.2
Goliad 6,928 7,103 7,101 175 173 2.5 2.5
Gonzales 18,628 19,489 19,463 861 835 4.6 4.5
Gray 22,744 22,154 22,153 -590 -591 -2.6 -2.6
Grayson 110,595 117,320 117,822 6,725 7,227 6.1 6.5
Gregg 111,379 114,885 115,159 3,506 3,780 3.1 3.4
Grimes 23,552 24,831 24,899 1,279 1,347 5.4 5.7
Guadalupe 89,023 104,227 105,077 15,204 16,054 17.1 18.0
Hale 36,602 36,104 36,005 -498 -597 -1.4 -1.6
Hall 3,782 3,732 3,731 -50 -51 -1.3 -1.3
Hamilton 8,229 8,303 8,337 74 108 0.9 1.3
Hansford 5,369 5,312 5,293 -57 -76 -1.1 -1.4
Hardeman 4,724 4,515 4,440 -209 -284 -4.4 -6.0
Hardin 48,073 50,197 50,168 2,124 2,095 4.4 4.4
Harris 3,400,578 3,693,816 3,717,506 293,238 316,928 8.6 9.3
Harrison 62,110 63,315 63,581 1,205 1,471 1.9 2.4
Hartley 5,537 5,434 5,455 -103 -82 -1.9 -1.5
Haskell 6,093 5,641 5,505 -452 -588 -7.4 -9.7
Hays 97,589 126,206 129,129 28,617 31,540 29.3 32.3
Hemphill 3,351 3,441 3,499 90 148 2.7 4.4
Henderson 73,277 78,601 79,058 5,324 5,781 7.3 7.9
Hidalgo 569,463 677,902 688,029 108,439 118,566 19.0 20.8
Hill 32,321 34,319 34,417 1,998 2,096 6.2 6.5
Hockley 22,716 22,548 22,467 -168 -249 -0.7 -1.1
Hood 41,100 47,542 48,309 6,442 7,209 15.7 17.5
Hopkins 31,960 33,298 33,332 1,338 1,372 4.2 4.3
Houston 23,185 23,330 23,304 145 119 0.6 0.5
Howard 33,627 33,082 33,029 -545 -598 -1.6 -1.8
Hudspeth 3,344 3,566 3,556 222 212 6.6 6.3
Hunt 76,596 82,396 82,854 5,800 6,258 7.6 8.2
Hutchinson 23,857 22,395 22,283 -1,462 -1,574 -6.1 -6.6
Irion 1,771 1,768 1,761 -3 -10 -0.2 -0.6
Jack 8,763 8,740 8,705 -23 -58 -0.3 -0.7
Jackson 14,391 14,476 14,487 85 96 0.6 0.7
Jasper 35,604 35,489 35,338 -115 -266 -0.3 -0.7
Jeff Davis 2,207 2,503 2,567 296 360 13.4 16.3
Jefferson 252,051 247,322 245,793 -4,729 -6,258 -1.9 -2.5
Jim Hogg 5,281 5,075 4,991 -206 -290 -3.9 -5.5
Jim Wells 39,326 40,570 40,671 1,244 1,345 3.2 3.4
Johnson 126,811 146,338 147,695 19,527 20,884 15.4 16.5
Jones 20,785 20,647 20,675 -138 -110 -0.7 -0.5
Karnes 15,446 15,324 15,292 -122 -154 -0.8 -1.0
Kaufman 71,313 89,390 91,610 18,077 20,297 25.3 28.5
Kendall 23,743 28,984 29,532 5,241 5,789 22.1 24.4
Kenedy 414 381 385 -33 -29 -8.0 -7.0
Kent 859 782 769 -77 -90 -9.0 -10.5
Kerr 43,653 46,846 47,265 3,193 3,612 7.3 8.3
Kimble 4,468 4,589 4,633 121 165 2.7 3.7
King 356 326 319 -30 -37 -8.4 -10.4
Kinney 3,379 3,336 3,335 -43 -44 -1.3 -1.3
Kleberg 31,549 30,729 30,236 -820 -1,313 -2.6 -4.2
Knox 4,253 3,985 3,981 -268 -272 -6.3 -6.4
Lamar 48,499 49,780 49,706 1,281 1,207 2.6 2.5
Lamb 14,709 14,797 14,805 88 96 0.6 0.7
Lampasas 17,762 19,825 19,615 2,063 1,853 11.6 10.4
La Salle 5,866 5,974 5,994 108 128 1.8 2.2
Lavaca 19,210 19,381 19,371 171 161 0.9 0.8
Lee 15,657 16,594 16,559 937 902 6.0 5.8
Leon 15,335 16,248 16,252 913 917 6.0 6.0
Liberty 70,154 76,716 76,943 6,562 6,789 9.4 9.7
Limestone 22,051 22,634 22,707 583 656 2.6 3.0
Lipscomb 3,057 3,154 3,215 97 158 3.2 5.2
Live Oak 12,309 12,254 12,263 -55 -46 -0.4 -0.4
Llano 17,044 18,570 18,661 1,526 1,617 9.0 9.5
Loving 67 64 65 -3 -2 -4.5 -3.0
Lubbock 242,628 250,276 250,638 7,648 8,010 3.2 3.3
Lynn 6,550 6,241 6,206 -309 -344 -4.7 -5.3
McCulloch 8,205 8,140 8,134 -65 -71 -0.8 -0.9
McLennan 213,517 222,313 223,567 8,796 10,050 4.1 4.7
McMullen 851 865 866 14 15 1.6 1.8
Madison 12,940 13,453 13,525 513 585 4.0 4.5
Marion 10,941 10,909 10,864 -32 -77 -0.3 -0.7
Martin 4,746 4,676 4,703 -70 -43 -1.5 -0.9
Mason 3,738 3,882 3,878 144 140 3.9 3.7
Matagorda 37,957 37,331 37,113 -626 -844 -1.6 -2.2
Maverick 47,297 51,289 51,585 3,992 4,288 8.4 9.1
Medina 39,304 42,784 43,075 3,480 3,771 8.9 9.6
Menard 2,360 2,330 2,314 -30 -46 -1.3 -1.9
Midland 116,009 119,636 119,659 3,627 3,650 3.1 3.1
Milam 24,238 25,548 25,633 1,310 1,395 5.4 5.8
Mills 5,151 5,291 5,391 140 240 2.7 4.7
Mitchell 9,698 9,576 9,565 -122 -133 -1.3 -1.4
Montague 19,117 19,677 19,725 560 608 2.9 3.2
Montgomery 293,768 375,689 383,975 81,921 90,207 27.9 30.7
Moore 20,121 20,014 19,919 -107 -202 -0.5 -1.0
Morris 13,048 12,964 12,940 -84 -108 -0.6 -0.8
Motley 1,426 1,331 1,325 -95 -101 -6.7 -7.1
Nacogdoches 59,203 61,585 61,553 2,382 2,350 4.0 4.0
Navarro 45,124 48,100 48,404 2,976 3,280 6.6 7.3
Newton 15,072 14,577 14,478 -495 -594 -3.3 -3.9
Nolan 15,802 15,167 15,156 -635 -646 -4.0 -4.1
Nueces 313,645 317,144 317,677 3,499 4,032 1.1 1.3
Ochiltree 9,006 9,166 9,148 160 142 1.8 1.6
Oldham 2,185 2,204 2,205 19 20 0.9 0.9
Orange 84,966 84,245 83,959 -721 -1,007 -0.8 -1.2
Palo Pinto 27,026 27,727 27,907 701 881 2.6 3.3
Panola 22,756 23,048 23,206 292 450 1.3 2.0
Parker 88,495 103,549 104,548 15,054 16,053 17.0 18.1
Parmer 10,016 9,854 9,859 -162 -157 -1.6 -1.6
Pecos 16,809 16,239 16,239 -570 -570 -3.4 -3.4
Polk 41,133 45,842 46,283 4,709 5,150 11.4 12.5
Potter 113,546 119,377 119,922 5,831 6,376 5.1 5.6
Presidio 7,304 7,954 7,997 650 693 8.9 9.5
Rains 9,139 10,602 10,740 1,463 1,601 16.0 17.5
Randall 104,312 110,028 110,082 5,716 5,770 5.5 5.5
Reagan 3,326 3,103 3,094 -223 -232 -6.7 -7.0
Real 3,047 3,256 3,295 209 248 6.9 8.1
Red River 14,314 14,003 13,944 -311 -370 -2.2 -2.6
Reeves 13,137 11,624 11,508 -1,513 -1,629 -11.5 -12.4
Refugio 7,828 7,517 7,450 -311 -378 -4.0 -4.8
Roberts 887 870 866 -17 -21 -1.9 -2.4
Robertson 16,000 16,247 16,326 247 326 1.5 2.0
Rockwall 43,080 61,786 63,986 18,706 20,906 43.4 48.5
Runnels 11,495 11,241 11,316 -254 -179 -2.2 -1.6
Rusk 47,372 47,671 47,319 299 -53 0.6 -0.1
Sabine 10,469 10,405 10,323 -64 -146 -0.6 -1.4
San Augustine 8,946 9,059 9,084 113 138 1.3 1.5
San Jacinto 22,246 24,583 25,202 2,337 2,956 10.5 13.3
San Patricio 67,138 69,281 69,252 2,143 2,114 3.2 3.1
San Saba 6,186 6,178 6,200 -8 14 -0.1 0.2
Schleicher 2,935 2,858 2,821 -77 -114 -2.6 -3.9
Scurry 16,361 15,934 15,860 -427 -501 -2.6 -3.1
Shackelford 3,302 3,258 3,247 -44 -55 -1.3 -1.7
Shelby 25,224 25,466 25,376 242 152 1.0 0.6
Sherman 3,186 3,353 3,458 167 272 5.2 8.5
Smith 174,706 190,019 191,711 15,313 17,005 8.8 9.7
Somervell 6,809 7,753 7,813 944 1,004 13.9 14.7
Starr 53,597 61,193 61,886 7,596 8,289 14.2 15.5
Stephens 9,674 9,595 9,603 -79 -71 -0.8 -0.7
Sterling 1,393 1,335 1,350 -58 -43 -4.2 -3.1
Stonewall 1,693 1,479 1,446 -214 -247 -12.6 -14.6
Sutton 4,077 4,162 4,169 85 92 2.1 2.3
Swisher 8,378 8,082 8,161 -296 -217 -3.5 -2.6
Tarrant 1,446,219 1,621,055 1,636,492 174,836 190,273 12.1 13.2
Taylor 126,555 127,816 127,745 1,261 1,190 1.0 0.9
Terrell 1,081 1,033 1,037 -48 -44 -4.4 -4.1
Terry 12,761 12,477 12,524 -284 -237 -2.2 -1.9
Throckmorton 1,850 1,610 1,580 -240 -270 -13.0 -14.6
Titus 28,118 29,698 29,683 1,580 1,565 5.6 5.6
Tom Green 104,010 102,748 102,277 -1,262 -1,733 -1.2 -1.7
Travis 812,280 896,753 907,922 84,473 95,642 10.4 11.8
Trinity 13,779 14,352 14,381 573 602 4.2 4.4
Tyler 20,871 21,199 21,146 328 275 1.6 1.3
Upshur 35,291 36,898 37,063 1,607 1,772 4.6 5.0
Upton 3,404 3,087 3,035 -317 -369 -9.3 -10.8
Uvalde 25,926 26,669 26,716 743 790 2.9 3.0
Val Verde 44,856 47,268 47,255 2,412 2,399 5.4 5.3
Van Zandt 48,140 50,662 50,433 2,522 2,293 5.2 4.8
Victoria 84,088 85,455 85,427 1,367 1,339 1.6 1.6
Walker 61,758 63,567 63,602 1,809 1,844 2.9 3.0
Waller 32,663 36,550 36,605 3,887 3,942 11.9 12.1
Ward 10,909 10,449 10,433 -460 -476 -4.2 -4.4
Washington 30,373 31,799 31,911 1,426 1,538 4.7 5.1
Webb 193,117 228,354 231,643 35,237 38,526 18.2 19.9
Wharton 41,188 42,254 42,234 1,066 1,046 2.6 2.5
Wheeler 5,284 5,041 5,134 -243 -150 -4.6 -2.8
Wichita 131,664 128,711 129,069 -2,953 -2,595 -2.2 -2.0
Wilbarger 14,676 13,929 13,792 -747 -884 -5.1 -6.0
Willacy 20,082 20,663 20,610 581 528 2.9 2.6
Williamson 249,967 330,740 342,419 80,773 92,452 32.3 37.0
Wilson 32,408 38,113 38,332 5,705 5,924 17.6 18.3
Winkler 7,173 6,661 6,584 -512 -589 -7.1 -8.2
Wise 48,793 55,237 55,720 6,444 6,927 13.2 14.2
Wood 36,752 39,838 40,027 3,086 3,275 8.4 8.9
Yoakum 7,322 7,221 7,218 -101 -104 -1.4 -1.4
Young 17,943 17,700 17,665 -243 -278 -1.4 -1.5
Zapata 12,182 13,821 13,759 1,639 1,577 13.5 12.9
Zavala 11,600 11,665 11,640 65 40 0.6 0.3
               
State of Texas 20,851,820 22,859,968 23,047,143 2,008,148 2,195,323 9.6 10.5


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Texas State Data Center and Office of the State Demographer