
| County |
1981 Estimated Population |
1981 Optometrists Total |
Ratio of 1981 Population per Optometrist* |
Ratio of Optometrists per 100,000 Population |
| Anderson |
40,732 |
4 |
10,183 |
9.8 |
| Andrews |
14,075 |
2 |
7,038 |
14.2 |
| Angelina |
65,914 |
7 |
9,416 |
10.6 |
| Aransas |
14,911 |
1 |
14,911 |
6.7 |
| Archer |
7,535 |
0 |
0 |
0.0 |
| Armstrong |
2,006 |
1 |
2,006 |
49.9 |
| Atascosa |
25,598 |
1 |
25,598 |
3.9 |
| Austin |
18,366 |
1 |
18,366 |
5.4 |
| Bailey |
8,312 |
1 |
8,312 |
12.0 |
| Bandera |
7,175 |
0 |
0 |
0.0 |
| Bastrop |
26,437 |
2 |
13,219 |
7.6 |
| Baylor |
5,038 |
0 |
0 |
0.0 |
| Bee |
26,574 |
2 |
13,287 |
7.5 |
| Bell |
163,344 |
14 |
11,667 |
8.6 |
| Bexar |
1,016,852 |
62 |
16,401 |
6.1 |
| Blanco |
4,680 |
0 |
0 |
0.0 |
| Borden |
845 |
0 |
0 |
0.0 |
| Bosque |
13,424 |
0 |
0 |
0.0 |
| Bowie |
76,123 |
10 |
7,612 |
13.1 |
| Brazoria |
175,400 |
11 |
15,946 |
6.3 |
| Brazos |
102,391 |
6 |
17,065 |
5.9 |
| Brewster |
7,707 |
1 |
7,707 |
13.0 |
| Briscoe |
2,550 |
0 |
0 |
0.0 |
| Brooks |
8,534 |
0 |
0 |
0.0 |
| Brown |
33,819 |
3 |
11,273 |
8.9 |
| Burleson |
13,287 |
0 |
0 |
0.0 |
| Burnet |
18,266 |
4 |
4,567 |
21.9 |
| Caldwell |
24,276 |
2 |
12,138 |
8.2 |
| Calhoun |
20,385 |
2 |
10,193 |
9.8 |
| Callahan |
10,909 |
0 |
0 |
0.0 |
| Cameron |
220,188 |
8 |
27,524 |
3.6 |
| Camp |
9,425 |
1 |
9,425 |
10.6 |
| Carson |
6,951 |
0 |
0 |
0.0 |
| Cass |
30,078 |
3 |
10,026 |
10.0 |
| Castro |
10,533 |
1 |
10,533 |
9.5 |
| Chambers |
18,816 |
0 |
0 |
0.0 |
| Cherokee |
38,648 |
2 |
19,324 |
5.2 |
| Childress |
6,894 |
3 |
2,298 |
43.5 |
| Clay |
9,630 |
0 |
0 |
0.0 |
| Cochran |
4,762 |
0 |
0 |
0.0 |
| Coke |
3,380 |
0 |
0 |
0.0 |
| Coleman |
10,555 |
1 |
10,555 |
9.5 |
| Collin |
153,960 |
16 |
9,623 |
10.4 |
| Collingsworth |
4,631 |
0 |
0 |
0.0 |
| Colorado |
19,321 |
0 |
0 |
0.0 |
| Comal |
37,705 |
4 |
9,426 |
10.6 |
| Comanche |
12,834 |
1 |
12,834 |
7.8 |
| Concho |
3,020 |
0 |
0 |
0.0 |
| Cooke |
28,439 |
2 |
14,220 |
7.0 |
| Coryell |
57,473 |
4 |
14,368 |
7.0 |
| Cottle |
2,845 |
0 |
0 |
0.0 |
| Crane |
4,816 |
0 |
0 |
0.0 |
| Crockett |
4,954 |
0 |
0 |
0.0 |
| Crosby |
8,855 |
0 |
0 |
0.0 |
| Culberson |
3,402 |
0 |
0 |
0.0 |
| Dallam |
6,620 |
2 |
3,310 |
30.2 |
| Dallas |
1,597,908 |
107 |
14,934 |
6.7 |
| Dawson |
16,388 |
2 |
8,194 |
12.2 |
| Deaf Smith |
21,102 |
3 |
7,034 |
14.2 |
| Delta |
4,805 |
0 |
0 |
0.0 |
| Denton |
154,320 |
7 |
22,046 |
4.5 |
| De Witt |
19,035 |
1 |
19,035 |
5.3 |
| Dickens |
3,383 |
0 |
0 |
0.0 |
| Dimmit |
11,762 |
0 |
0 |
0.0 |
| Donley |
4,130 |
0 |
0 |
0.0 |
| Duval |
12,695 |
0 |
0 |
0.0 |
| Eastland |
20,303 |
3 |
6,768 |
14.8 |
| Ector |
123,419 |
12 |
10,285 |
9.7 |
| Edwards |
2,149 |
0 |
0 |
0.0 |
| Ellis |
61,063 |
5 |
12,213 |
8.2 |
| El Paso |
497,522 |
29 |
17,156 |
5.8 |
| Erath |
23,197 |
5 |
4,639 |
21.6 |
| Falls |
17,977 |
1 |
17,977 |
5.6 |
| Fannin |
24,270 |
2 |
12,135 |
8.2 |
| Fayette |
19,775 |
4 |
4,944 |
20.2 |
| Fisher |
5,854 |
0 |
0 |
0.0 |
| Floyd |
9,681 |
1 |
9,681 |
10.3 |
| Foard |
2,139 |
0 |
0 |
0.0 |
| Fort Bend |
142,094 |
7 |
20,299 |
4.9 |
| Franklin |
7,141 |
0 |
0 |
0.0 |
| Freestone |
15,416 |
1 |
15,416 |
6.5 |
| Frio |
13,780 |
0 |
0 |
0.0 |
| Gaines |
13,649 |
1 |
13,649 |
7.3 |
| Galveston |
201,604 |
16 |
12,600 |
7.9 |
| Garza |
5,612 |
0 |
0 |
0.0 |
| Gillespie |
13,924 |
2 |
6,962 |
14.4 |
| Glasscock |
1,273 |
0 |
0 |
0.0 |
| Goliad |
5,321 |
0 |
0 |
0.0 |
| Gonzales |
17,519 |
3 |
5,840 |
17.1 |
| Gray |
27,129 |
7 |
3,876 |
25.8 |
| Grayson |
91,146 |
9 |
10,127 |
9.9 |
| Gregg |
103,482 |
14 |
7,392 |
13.5 |
| Grimes |
14,450 |
1 |
14,450 |
6.9 |
| Guadalupe |
48,488 |
4 |
12,122 |
8.2 |
| Hale |
38,302 |
5 |
7,660 |
13.1 |
| Hall |
5,366 |
1 |
5,366 |
18.6 |
| Hamilton |
8,275 |
1 |
8,275 |
12.1 |
| Hansford |
6,247 |
1 |
6,247 |
16.0 |
| Hardeman |
6,588 |
0 |
0 |
0.0 |
| Hardin |
41,451 |
1 |
41,451 |
2.4 |
| Harris |
2,546,578 |
182 |
13,992 |
7.1 |
| Harrison |
53,671 |
5 |
10,734 |
9.3 |
| Hartley |
4,159 |
0 |
0 |
0.0 |
| Haskell |
7,736 |
0 |
0 |
0.0 |
| Hays |
42,971 |
5 |
8,594 |
11.6 |
| Hemphill |
5,705 |
0 |
0 |
0.0 |
| Henderson |
44,140 |
2 |
22,070 |
4.5 |
| Hidalgo |
298,564 |
13 |
22,967 |
4.4 |
| Hill |
25,003 |
2 |
12,502 |
8.0 |
| Hockley |
23,942 |
1 |
23,942 |
4.2 |
| Hood |
18,391 |
1 |
18,391 |
5.4 |
| Hopkins |
25,549 |
3 |
8,516 |
11.7 |
| Houston |
22,640 |
2 |
11,320 |
8.8 |
| Howard |
34,191 |
6 |
5,699 |
17.5 |
| Hudspeth |
2,956 |
0 |
0 |
0.0 |
| Hunt |
56,894 |
3 |
18,965 |
5.3 |
| Hutchinson |
27,651 |
5 |
5,530 |
18.1 |
| Irion |
1,460 |
0 |
0 |
0.0 |
| Jack |
7,525 |
0 |
0 |
0.0 |
| Jackson |
13,750 |
1 |
13,750 |
7.3 |
| Jasper |
31,259 |
3 |
10,420 |
9.6 |
| Jeff Davis |
1,709 |
0 |
0 |
0.0 |
| Jefferson |
252,254 |
18 |
14,014 |
7.1 |
| Jim Hogg |
5,299 |
0 |
0 |
0.0 |
| Jim Wells |
37,319 |
5 |
7,464 |
13.4 |
| Johnson |
70,028 |
8 |
8,754 |
11.4 |
| Jones |
17,376 |
1 |
17,376 |
5.8 |
| Karnes |
13,624 |
1 |
13,624 |
7.3 |
| Kaufman |
40,142 |
2 |
20,071 |
5.0 |
| Kendall |
11,065 |
1 |
11,065 |
9.0 |
| Kenedy |
518 |
0 |
0 |
0.0 |
| Kent |
1,124 |
0 |
0 |
0.0 |
| Kerr |
29,437 |
2 |
14,719 |
6.8 |
| Kimble |
4,174 |
2 |
2,087 |
47.9 |
| King |
427 |
0 |
0 |
0.0 |
| Kinney |
2,406 |
0 |
0 |
0.0 |
| Kleberg |
34,018 |
2 |
17,009 |
5.9 |
| Knox |
5,355 |
0 |
0 |
0.0 |
| Lamar |
42,492 |
5 |
8,498 |
11.8 |
| Lamb |
18,672 |
2 |
9,336 |
10.7 |
| Lampasas |
11,907 |
1 |
11,907 |
8.4 |
| La Salle |
5,669 |
1 |
5,669 |
17.6 |
| Lavaca |
19,178 |
1 |
19,178 |
5.2 |
| Lee |
12,392 |
0 |
0 |
0.0 |
| Leon |
10,079 |
0 |
0 |
0.0 |
| Liberty |
49,017 |
4 |
12,254 |
8.2 |
| Limestone |
20,583 |
1 |
20,583 |
4.9 |
| Lipscomb |
4,029 |
0 |
0 |
0.0 |
| Live Oak |
9,878 |
0 |
0 |
0.0 |
| Llano |
9,997 |
0 |
0 |
0.0 |
| Loving |
91 |
0 |
0 |
0.0 |
| Lubbock |
213,353 |
30 |
7,112 |
14.1 |
| Lynn |
8,467 |
0 |
0 |
0.0 |
| McCulloch |
8,769 |
1 |
8,769 |
11.4 |
| McLennan |
173,737 |
14 |
12,401 |
8.1 |
| McMullen |
783 |
0 |
0 |
0.0 |
| Madison |
11,105 |
0 |
0 |
0.0 |
| Marion |
10,465 |
0 |
0 |
0.0 |
| Martin |
4,970 |
0 |
0 |
0.0 |
| Mason |
3,621 |
0 |
0 |
0.0 |
| Matagorda |
38,522 |
3 |
12,841 |
7.8 |
| Maverick |
33,010 |
1 |
33,010 |
3.0 |
| Medina |
23,216 |
2 |
11,608 |
8.6 |
| Menard |
2,361 |
0 |
0 |
0.0 |
| Midland |
88,997 |
6 |
14,833 |
6.7 |
| Milam |
23,183 |
1 |
23,183 |
4.3 |
| Mills |
4,547 |
0 |
0 |
0.0 |
| Mitchell |
9,125 |
0 |
0 |
0.0 |
| Montague |
17,747 |
3 |
5,916 |
16.9 |
| Montgomery |
136,497 |
3 |
45,499 |
2.2 |
| Moore |
17,206 |
3 |
5,735 |
17.4 |
| Morris |
14,930 |
1 |
14,930 |
6.7 |
| Motley |
1,879 |
0 |
0 |
0.0 |
| Nacogdoches |
47,786 |
4 |
11,947 |
8.4 |
| Navarro |
36,780 |
3 |
12,260 |
8.2 |
| Newton |
13,328 |
0 |
0 |
0.0 |
| Nolan |
17,694 |
3 |
5,898 |
17.0 |
| Nueces |
273,805 |
13 |
21,062 |
4.7 |
| Ochiltree |
10,194 |
2 |
5,097 |
19.6 |
| Oldham |
2,295 |
0 |
0 |
0.0 |
| Orange |
86,339 |
4 |
21,585 |
4.6 |
| Palo Pinto |
24,622 |
1 |
24,622 |
4.1 |
| Panola |
21,221 |
2 |
10,611 |
9.4 |
| Parker |
46,179 |
2 |
23,090 |
4.3 |
| Parmer |
11,054 |
1 |
11,054 |
9.0 |
| Pecos |
15,591 |
1 |
15,591 |
6.4 |
| Polk |
25,648 |
2 |
12,824 |
7.8 |
| Potter |
100,564 |
21 |
4,789 |
20.9 |
| Presidio |
5,272 |
0 |
0 |
0.0 |
| Rains |
4,986 |
0 |
0 |
0.0 |
| Randall |
76,788 |
2 |
38,394 |
2.6 |
| Reagan |
4,622 |
0 |
0 |
0.0 |
| Real |
2,569 |
0 |
0 |
0.0 |
| Red River |
16,078 |
0 |
0 |
0.0 |
| Reeves |
16,385 |
1 |
16,385 |
6.1 |
| Refugio |
9,403 |
0 |
0 |
0.0 |
| Roberts |
1,171 |
0 |
0 |
0.0 |
| Robertson |
15,177 |
0 |
0 |
0.0 |
| Rockwall |
15,578 |
1 |
15,578 |
6.4 |
| Runnels |
11,931 |
0 |
0 |
0.0 |
| Rusk |
41,995 |
1 |
41,995 |
2.4 |
| Sabine |
8,819 |
0 |
0 |
0.0 |
| San Augustine |
8,963 |
0 |
0 |
0.0 |
| San Jacinto |
11,725 |
0 |
0 |
0.0 |
| San Patricio |
59,388 |
3 |
19,796 |
5.1 |
| San Saba |
5,766 |
0 |
0 |
0.0 |
| Schleicher |
2,942 |
0 |
0 |
0.0 |
| Scurry |
18,899 |
1 |
18,899 |
5.3 |
| Shackelford |
4,027 |
0 |
0 |
0.0 |
| Shelby |
23,316 |
2 |
11,658 |
8.6 |
| Sherman |
3,218 |
1 |
3,218 |
31.1 |
| Smith |
132,732 |
12 |
11,061 |
9.0 |
| Somervell |
3,989 |
0 |
0 |
0.0 |
| Starr |
29,189 |
1 |
29,189 |
3.4 |
| Stephens |
10,232 |
1 |
10,232 |
9.8 |
| Sterling |
1,280 |
0 |
0 |
0.0 |
| Stonewall |
2,402 |
0 |
0 |
0.0 |
| Sutton |
5,542 |
0 |
0 |
0.0 |
| Swisher |
9,540 |
1 |
9,540 |
10.5 |
| Tarrant |
895,563 |
58 |
15,441 |
6.5 |
| Taylor |
115,025 |
11 |
10,457 |
9.6 |
| Terrell |
1,612 |
0 |
0 |
0.0 |
| Terry |
14,675 |
2 |
7,338 |
13.6 |
| Throckmorton |
2,142 |
0 |
0 |
0.0 |
| Titus |
21,926 |
3 |
7,309 |
13.7 |
| Tom Green |
87,225 |
11 |
7,930 |
12.6 |
| Travis |
430,443 |
25 |
17,218 |
5.8 |
| Trinity |
9,684 |
0 |
0 |
0.0 |
| Tyler |
16,378 |
0 |
0 |
0.0 |
| Upshur |
29,620 |
2 |
14,810 |
6.8 |
| Upton |
4,751 |
0 |
0 |
0.0 |
| Uvalde |
22,652 |
2 |
11,326 |
8.8 |
| Val Verde |
37,240 |
2 |
18,620 |
5.4 |
| Van Zandt |
31,787 |
1 |
31,787 |
3.1 |
| Victoria |
71,453 |
6 |
11,909 |
8.4 |
| Walker |
43,055 |
2 |
21,528 |
4.6 |
| Waller |
21,027 |
0 |
0 |
0.0 |
| Ward |
14,742 |
1 |
14,742 |
6.8 |
| Washington |
23,018 |
3 |
7,673 |
13.0 |
| Webb |
105,078 |
4 |
26,270 |
3.8 |
| Wharton |
40,557 |
3 |
13,519 |
7.4 |
| Wheeler |
7,310 |
0 |
0 |
0.0 |
| Wichita |
123,140 |
16 |
7,696 |
13.0 |
| Wilbarger |
16,198 |
3 |
5,399 |
18.5 |
| Willacy |
17,885 |
0 |
0 |
0.0 |
| Williamson |
81,839 |
6 |
13,640 |
7.3 |
| Wilson |
17,023 |
1 |
17,023 |
5.9 |
| Winkler |
10,515 |
1 |
10,515 |
9.5 |
| Wise |
27,222 |
1 |
27,222 |
3.7 |
| Wood |
24,988 |
3 |
8,329 |
12.0 |
| Yoakum |
8,387 |
1 |
8,387 |
11.9 |
| Young |
19,594 |
3 |
6,531 |
15.3 |
| Zapata |
7,098 |
0 |
0 |
0.0 |
| Zavala |
11,850 |
1 |
11,850 |
8.4 |
| Texas Total |
14,746,544 |
1,059 |
13,925 |
7.2 |
* Data rounded to nearest whole number
Data Source: Texas State Board of Optometry, July, 1981. And, "Texas Health Manpower Reports: Health Professionals in Texas by Activity Status, 1980-1981," Bureau of State Health Planning and Resource Development, Texas Department of Health.
Includes all active optometrists. Excludes "inactive" (52) and "status unknown" (42) Optometrists with a Texas work or mailing address. The Optometrists were sorted by their county of practice or residence. The county was determined based on the zip code. If the practice address was unavailable, the mailing address was used to determine the county.
Prepared by: Texas Department of Health, Office of Policy and Planning, Health Professions Resource Center, July 24, 2000.
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