Texas Payroll Employment
By County
for The Local Government Education And Health Services Industry
in February, 2019
Updated on October 10, 2022.
According to recent data from the US Bureau of Labor Statistics, in February, 2019, Texas added 22,095 number of jobs to the local government education and health services industry. Among Texas counties, Harris added the highest number of jobs (4,054), followed by Dallas (2,492), and Tarrant (1,909).
Interact with the charts below to see for each county, the number of payroll employment, and the number of jobs added in February, 2019. This information can also be found in a table below.
You can see similar information for other states, and for the United States by state as well.
You can also see similar information for different industries.
Related Topics: Texas BLS Topic List.
Data Source: US Bureau of Labor Statistics (QCEW).
See this for other months:
Texas Payroll Employment
By County
for The Local Government Education And Health Services Industry
in February, 2019
Texas Jobs added
By County
The Local Government Education And Health Services Industry
in February, 2019
Texas Payroll Employment
By County
for The Local Government Education And Health Services Industry
in February, 2019
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County | Number of Employment | Jobs Added |
---|---|---|
Anderson | 1637 | 31 |
Angelina | 3883 | 62 |
Archer | 344 | 10 |
Atascosa | 1715 | 9 |
Austin | 1049 | -3 |
Bastrop | 2684 | -4 |
Bee | 1374 | 170 |
Bell | 14612 | 93 |
Bexar | 66360 | 1322 |
Blanco | 336 | -3 |
Bosque | 1015 | 5 |
Bowie | 3640 | 78 |
Brazoria | 12661 | 406 |
Brazos | 6391 | -174 |
Brewster | 306 | 1 |
Brown | 1403 | 0 |
Burleson | 513 | 0 |
Burnet | 1470 | 3 |
Caldwell | 1155 | 27 |
Callahan | 507 | -1 |
Cameron | 17270 | 219 |
Carson | 251 | 7 |
Cass | 1188 | 10 |
Castro | 550 | 24 |
Chambers | 1516 | 8 |
Cherokee | 1659 | -5 |
Clay | 397 | 0 |
Cochran | 232 | 1 |
Coke | 240 | -1 |
Coleman | 315 | 2 |
Collin | 34229 | 1576 |
Colorado | 699 | -1 |
Comanche | 531 | 1 |
Concho | 147 | -4 |
Cooke | 1998 | 168 |
Coryell | 2689 | 53 |
Crockett | 235 | 0 |
Crosby | 306 | 1 |
Dallas | 85209 | 2492 |
Dawson | 643 | 7 |
Denton | 19164 | 252 |
DeWitt | 1403 | -21 |
Dimmit | 419 | -2 |
Donley | 338 | 5 |
Duval | 490 | -1 |
Eastland | 1173 | 9 |
Ector | 6629 | 174 |
Ellis | 5840 | -10 |
El Paso | 34003 | 286 |
Erath | 1118 | 3 |
Falls | 494 | 4 |
Fannin | 1071 | 3 |
Fayette | 799 | 13 |
Fisher | 210 | 1 |
Floyd | 404 | 6 |
Fort Bend | 17245 | 1250 |
Freestone | 715 | -1 |
Frio | 693 | 5 |
Gaines | 1016 | 36 |
Galveston | 10690 | 125 |
Gillespie | 722 | -6 |
Gonzales | 1027 | 10 |
Gray | 697 | 13 |
Grayson | 4848 | 76 |
Gregg | 4536 | 70 |
Grimes | 753 | 19 |
Guadalupe | 4546 | 14 |
Hale | 1407 | -8 |
Hamilton | 572 | 8 |
Hansford | 543 | 6 |
Hardeman | 303 | 3 |
Hardin | 1824 | -2 |
Harris | 149300 | 4054 |
Harrison | 2161 | 10 |
Hartley | 502 | 3 |
Haskell | 326 | 9 |
Hays | 6421 | 419 |
Henderson | 2086 | 24 |
Hidalgo | 36188 | 959 |
Hill | 1739 | 130 |
Hockley | 1645 | 130 |
Hood | 1337 | 7 |
Hopkins | 1496 | 43 |
Houston | 653 | 12 |
Howard | 1612 | 12 |
Hudspeth | 156 | -1 |
Hunt | 3989 | 14 |
Hutchinson | 1033 | -2 |
Jack | 515 | 15 |
Jackson | 794 | -3 |
Jasper | 1303 | -5 |
Jefferson | 6671 | -51 |
Jim Wells | 1378 | 7 |
Johnson | 5753 | 31 |
Jones | 723 | 0 |
Karnes | 850 | -8 |
Kaufman | 4625 | 55 |
Kerr | 1211 | -4 |
Kimble | 167 | 0 |
Kleberg | 1016 | 9 |
Knox | 325 | -1 |
Lamar | 2054 | 109 |
Lamb | 673 | 0 |
Lavaca | 641 | 0 |
Lee | 516 | 14 |
Leon | 626 | -2 |
Liberty | 3101 | 48 |
Limestone | 1002 | 7 |
Lipscomb | 271 | 5 |
Lubbock | 12899 | 231 |
Lynn | 508 | 8 |
McCulloch | 332 | 1 |
McLennan | 8910 | 59 |
Martin | 448 | 1 |
Matagorda | 1854 | 14 |
Maverick | 3527 | -42 |
Medina | 2082 | -3 |
Menard | 139 | 2 |
Midland | 6062 | 71 |
Milam | 906 | 10 |
Mills | 288 | 2 |
Mitchell | 522 | 7 |
Montague | 850 | 9 |
Montgomery | 23540 | 1885 |
Moore | 1205 | 8 |
Nacogdoches | 2475 | 19 |
Navarro | 2583 | 200 |
Newton | 424 | 0 |
Nolan | 1081 | -1 |
Nueces | 11476 | 261 |
Oldham | 257 | 10 |
Orange | 2748 | 28 |
Palo Pinto | 1223 | 7 |
Panola | 899 | -4 |
Parker | 4077 | 129 |
Parmer | 705 | 14 |
Pecos | 859 | -4 |
Polk | 1238 | 10 |
Potter | 7105 | 189 |
Reagan | 319 | 6 |
Red River | 509 | -1 |
Reeves | 750 | 4 |
Refugio | 454 | -4 |
Robertson | 699 | 0 |
Runnels | 669 | 18 |
Rusk | 1816 | -1 |
Sabine | 361 | 2 |
San Augustine | 303 | -3 |
San Patricio | 2684 | 0 |
San Saba | 223 | 3 |
Scurry | 1045 | -2 |
Shackelford | 133 | 1 |
Shelby | 1012 | 6 |
Sherman | 195 | -5 |
Smith | 7602 | 227 |
Starr | 4286 | 48 |
Stonewall | 163 | 1 |
Swisher | 463 | 2 |
Tarrant | 66055 | 1909 |
Taylor | 4527 | 112 |
Terry | 633 | 2 |
Throckmorton | 121 | 5 |
Titus | 2349 | 129 |
Tom Green | 3290 | 2 |
Travis | 33161 | 118 |
Trinity | 441 | 1 |
Tyler | 862 | 3 |
Upshur | 1382 | 15 |
Upton | 370 | 5 |
Uvalde | 1926 | 1 |
Van Zandt | 1819 | 22 |
Victoria | 4500 | 132 |
Waller | 1921 | 56 |
Ward | 526 | 2 |
Washington | 1413 | 95 |
Webb | 12870 | 266 |
Wharton | 2202 | 83 |
Wheeler | 459 | 11 |
Wichita | 3970 | 49 |
Wilbarger | 866 | 1 |
Willacy | 910 | 0 |
Williamson | 18469 | 327 |
Wilson | 1849 | 1 |
Winkler | 400 | 2 |
Wise | 3517 | 32 |
Wood | 1189 | 29 |
Yoakum | 605 | 9 |
Young | 1015 | 13 |
Zavala | 650 | 1 |