Pages 238-243
Residential Child Care Licensing Statistics on August 31, 2014
| County | Region | Child Population Age 0-17 | Child Placing Agencies (CPA) |
Homes Verified by CPAs |
General Residential Operations | Independent Foster and Group Homes | Residential Treatment Centers | Total Residential |
Total Residential Capacity |
|---|---|---|---|---|---|---|---|---|---|
Anderson |
004 |
11,594 |
0 |
16 |
0 |
0 |
0 |
16 |
33 |
Andrews |
009 |
4,542 |
0 |
7 |
0 |
0 |
0 |
7 |
31 |
Angelina |
005 |
23,772 |
2 |
39 |
0 |
0 |
0 |
41 |
119 |
Aransas |
011 |
4,520 |
0 |
5 |
0 |
0 |
0 |
5 |
20 |
Archer |
002 |
2,117 |
0 |
5 |
0 |
0 |
0 |
5 |
10 |
Armstrong |
001 |
375 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Atascosa |
008 |
13,538 |
0 |
17 |
0 |
0 |
0 |
17 |
45 |
Austin |
006 |
7,524 |
0 |
5 |
0 |
0 |
2 |
7 |
116 |
Bailey |
001 |
2,383 |
0 |
6 |
0 |
0 |
0 |
6 |
29 |
Bandera |
008 |
3,979 |
0 |
11 |
1 |
0 |
0 |
12 |
173 |
Bastrop |
007 |
21,379 |
0 |
44 |
1 |
0 |
0 |
45 |
180 |
Baylor |
002 |
764 |
0 |
2 |
0 |
0 |
0 |
2 |
6 |
Bee |
011 |
6,856 |
0 |
8 |
1 |
0 |
0 |
9 |
172 |
Bell |
007 |
98,721 |
8 |
224 |
2 |
0 |
1 |
235 |
758 |
Bexar |
008 |
491,136 |
35 |
1,072 |
14 |
0 |
7 |
1,128 |
4,014 |
Blanco |
007 |
2,278 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Borden |
009 |
117 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Bosque |
007 |
4,089 |
0 |
6 |
0 |
0 |
0 |
6 |
20 |
Bowie |
004 |
21,900 |
0 |
24 |
0 |
0 |
0 |
24 |
68 |
Brazoria |
006 |
96,020 |
1 |
121 |
3 |
0 |
3 |
128 |
676 |
Brazos |
007 |
47,729 |
3 |
51 |
1 |
0 |
1 |
56 |
187 |
Brewster |
010 |
1,947 |
0 |
1 |
0 |
0 |
0 |
1 |
3 |
Briscoe |
001 |
333 |
0 |
2 |
0 |
0 |
0 |
2 |
4 |
Brooks |
011 |
1,996 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Brown |
002 |
9,154 |
6 |
53 |
1 |
0 |
0 |
60 |
261 |
Burleson |
007 |
4,140 |
0 |
2 |
0 |
0 |
0 |
2 |
6 |
Burnet |
007 |
10,299 |
0 |
21 |
0 |
0 |
0 |
21 |
52 |
Caldwell |
007 |
10,317 |
0 |
26 |
0 |
0 |
1 |
27 |
292 |
Calhoun |
008 |
5,879 |
0 |
3 |
0 |
0 |
0 |
3 |
13 |
Callahan |
002 |
3,306 |
0 |
13 |
0 |
0 |
0 |
13 |
35 |
Cameron |
011 |
141,748 |
10 |
197 |
10 |
0 |
0 |
217 |
2,138 |
Camp |
004 |
3,404 |
0 |
7 |
0 |
0 |
0 |
7 |
16 |
Carson |
001 |
1,509 |
0 |
6 |
0 |
0 |
0 |
6 |
15 |
Cass |
004 |
6,993 |
0 |
7 |
0 |
0 |
0 |
7 |
29 |
Castro |
001 |
2,502 |
0 |
3 |
0 |
0 |
0 |
3 |
9 |
Chambers |
006 |
10,728 |
0 |
10 |
0 |
0 |
0 |
10 |
27 |
Cherokee |
004 |
13,753 |
0 |
12 |
0 |
0 |
0 |
12 |
34 |
Childress |
001 |
1,524 |
0 |
1 |
0 |
0 |
0 |
1 |
0 |
Clay |
002 |
2,362 |
0 |
8 |
0 |
0 |
0 |
8 |
18 |
Cochran |
001 |
884 |
0 |
1 |
0 |
0 |
0 |
1 |
1 |
Coke |
009 |
630 |
0 |
1 |
0 |
0 |
0 |
1 |
1 |
Coleman |
002 |
1,970 |
0 |
4 |
0 |
0 |
0 |
4 |
18 |
Collin |
003 |
250,047 |
3 |
194 |
1 |
0 |
0 |
198 |
468 |
Collingsworth |
001 |
838 |
0 |
2 |
0 |
0 |
0 |
2 |
3 |
Colorado |
006 |
4,972 |
0 |
1 |
0 |
0 |
0 |
1 |
0 |
Comal |
008 |
27,772 |
1 |
46 |
4 |
0 |
1 |
52 |
315 |
Comanche |
002 |
3,350 |
1 |
9 |
0 |
0 |
0 |
10 |
37 |
Concho |
009 |
568 |
0 |
2 |
0 |
0 |
0 |
2 |
6 |
Cooke |
003 |
9,873 |
0 |
7 |
0 |
0 |
0 |
7 |
17 |
Coryell |
007 |
22,926 |
1 |
30 |
0 |
0 |
0 |
31 |
100 |
Cottle |
002 |
341 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Crane |
009 |
1,293 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Crockett |
009 |
968 |
0 |
2 |
0 |
0 |
0 |
2 |
4 |
Crosby |
001 |
1,772 |
0 |
2 |
0 |
0 |
0 |
2 |
7 |
Culberson |
010 |
651 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Dallam |
001 |
2,138 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Dallas |
003 |
684,069 |
48 |
717 |
4 |
0 |
4 |
773 |
2,469 |
Dawson |
009 |
3,405 |
0 |
6 |
0 |
0 |
0 |
6 |
27 |
Deaf Smith |
001 |
6,519 |
0 |
4 |
0 |
0 |
0 |
4 |
9 |
Delta |
004 |
1,116 |
0 |
7 |
0 |
0 |
0 |
7 |
15 |
Denton |
003 |
204,770 |
3 |
205 |
1 |
0 |
0 |
209 |
528 |
De Witt |
008 |
4,497 |
0 |
5 |
1 |
0 |
0 |
6 |
64 |
Dickens |
001 |
461 |
0 |
1 |
0 |
0 |
0 |
1 |
0 |
Dimmit |
008 |
2,903 |
0 |
1 |
0 |
0 |
0 |
1 |
4 |
Donley |
001 |
728 |
0 |
2 |
0 |
0 |
0 |
2 |
8 |
Duval |
011 |
3,025 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Eastland |
002 |
4,237 |
0 |
8 |
0 |
0 |
0 |
8 |
28 |
Ector |
009 |
42,345 |
2 |
35 |
0 |
0 |
0 |
37 |
84 |
Edwards |
008 |
406 |
0 |
2 |
0 |
0 |
0 |
2 |
2 |
Ellis |
003 |
46,146 |
3 |
92 |
1 |
0 |
0 |
96 |
460 |
El Paso |
010 |
248,080 |
9 |
185 |
6 |
0 |
0 |
200 |
849 |
Erath |
003 |
8,966 |
1 |
11 |
1 |
0 |
0 |
13 |
111 |
Falls |
007 |
3,876 |
0 |
7 |
0 |
0 |
1 |
8 |
50 |
Fannin |
003 |
7,611 |
0 |
12 |
0 |
0 |
0 |
12 |
34 |
Fayette |
007 |
5,417 |
0 |
4 |
0 |
0 |
1 |
5 |
24 |
Fisher |
002 |
805 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Floyd |
001 |
1,784 |
0 |
2 |
0 |
0 |
0 |
2 |
1 |
Foard |
002 |
247 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Fort Bend |
006 |
195,786 |
5 |
267 |
1 |
0 |
4 |
277 |
1,081 |
Franklin |
004 |
2,717 |
0 |
5 |
0 |
0 |
0 |
5 |
13 |
Freestone |
007 |
4,646 |
0 |
8 |
1 |
0 |
0 |
9 |
76 |
Frio |
008 |
4,250 |
0 |
9 |
0 |
0 |
0 |
9 |
18 |
Gaines |
009 |
6,804 |
0 |
5 |
0 |
0 |
0 |
5 |
10 |
Galveston |
006 |
76,964 |
3 |
83 |
1 |
0 |
1 |
88 |
292 |
Garza |
001 |
1,303 |
0 |
1 |
0 |
0 |
0 |
1 |
2 |
Gillespie |
008 |
5,226 |
0 |
4 |
0 |
0 |
0 |
4 |
13 |
Glasscock |
009 |
304 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Goliad |
008 |
1,583 |
0 |
5 |
0 |
0 |
0 |
5 |
20 |
Gonzales |
008 |
5,590 |
1 |
5 |
1 |
0 |
1 |
8 |
145 |
Gray |
001 |
5,972 |
0 |
11 |
0 |
0 |
0 |
11 |
33 |
Grayson |
003 |
29,638 |
0 |
12 |
1 |
0 |
0 |
13 |
51 |
Gregg |
004 |
32,181 |
4 |
38 |
0 |
0 |
0 |
42 |
121 |
Grimes |
007 |
6,105 |
0 |
2 |
0 |
0 |
0 |
2 |
7 |
Guadalupe |
008 |
39,986 |
0 |
73 |
0 |
0 |
1 |
74 |
242 |
Hale |
001 |
10,700 |
0 |
17 |
0 |
0 |
0 |
17 |
53 |
Hall |
001 |
805 |
0 |
1 |
0 |
0 |
0 |
1 |
6 |
Hamilton |
007 |
1,789 |
1 |
1 |
0 |
0 |
0 |
2 |
1 |
Hansford |
001 |
1,702 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Hardeman |
002 |
1,028 |
0 |
2 |
0 |
0 |
0 |
2 |
11 |
Hardin |
005 |
14,554 |
0 |
18 |
0 |
0 |
0 |
18 |
51 |
Harris |
006 |
1,201,493 |
53 |
1,300 |
20 |
3 |
19 |
1,395 |
5,277 |
Harrison |
004 |
17,542 |
0 |
28 |
2 |
0 |
1 |
31 |
229 |
Hartley |
001 |
1,297 |
0 |
1 |
0 |
0 |
0 |
1 |
5 |
Haskell |
002 |
1,205 |
0 |
1 |
0 |
0 |
0 |
1 |
3 |
Hays |
007 |
47,624 |
3 |
80 |
1 |
0 |
3 |
87 |
520 |
Hemphill |
001 |
1,144 |
0 |
1 |
0 |
0 |
0 |
1 |
4 |
Henderson |
004 |
18,376 |
1 |
30 |
0 |
0 |
0 |
31 |
86 |
Hidalgo |
011 |
284,166 |
9 |
140 |
0 |
0 |
0 |
149 |
601 |
Hill |
007 |
8,734 |
0 |
6 |
1 |
0 |
0 |
7 |
79 |
Hockley |
001 |
6,387 |
0 |
21 |
0 |
0 |
2 |
23 |
126 |
Hood |
003 |
11,219 |
1 |
13 |
0 |
0 |
0 |
14 |
34 |
Hopkins |
004 |
9,229 |
1 |
13 |
0 |
0 |
0 |
14 |
24 |
Houston |
005 |
4,811 |
0 |
4 |
0 |
0 |
0 |
4 |
14 |
Howard |
009 |
8,012 |
0 |
7 |
0 |
0 |
0 |
7 |
13 |
Hudspeth |
010 |
953 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Hunt |
003 |
22,830 |
1 |
34 |
1 |
0 |
1 |
37 |
168 |
Hutchinson |
001 |
5,750 |
0 |
9 |
0 |
0 |
0 |
9 |
36 |
Irion |
009 |
310 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Jack |
002 |
1,959 |
0 |
3 |
0 |
0 |
0 |
3 |
7 |
Jackson |
008 |
3,562 |
0 |
10 |
0 |
0 |
0 |
10 |
35 |
Jasper |
005 |
8,806 |
0 |
18 |
0 |
0 |
0 |
18 |
73 |
Jeff Davis |
010 |
367 |
0 |
0 |
0 |
0 |
1 |
1 |
84 |
Jefferson |
005 |
61,551 |
6 |
95 |
4 |
0 |
0 |
105 |
430 |
Jim Hogg |
011 |
1,548 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Jim Wells |
011 |
12,095 |
0 |
8 |
0 |
0 |
0 |
8 |
23 |
Johnson |
003 |
43,533 |
0 |
71 |
0 |
0 |
0 |
71 |
209 |
Jones |
002 |
3,758 |
0 |
8 |
0 |
0 |
0 |
8 |
15 |
Karnes |
008 |
2,924 |
0 |
2 |
0 |
0 |
0 |
2 |
4 |
Kaufman |
003 |
33,128 |
0 |
62 |
1 |
0 |
0 |
63 |
235 |
Kendall |
008 |
8,456 |
1 |
26 |
1 |
0 |
1 |
29 |
159 |
Kenedy |
011 |
99 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Kent |
002 |
162 |
0 |
1 |
0 |
0 |
0 |
1 |
12 |
Kerr |
008 |
10,314 |
4 |
25 |
3 |
0 |
1 |
33 |
284 |
Kimble |
009 |
910 |
0 |
2 |
0 |
0 |
0 |
2 |
6 |
King |
001 |
57 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Kinney |
008 |
681 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Kleberg |
011 |
8,565 |
0 |
11 |
0 |
0 |
0 |
11 |
46 |
Knox |
002 |
931 |
0 |
1 |
0 |
0 |
0 |
1 |
6 |
Lamar |
004 |
12,229 |
0 |
15 |
0 |
0 |
0 |
15 |
34 |
Lamb |
001 |
4,020 |
0 |
9 |
0 |
0 |
0 |
9 |
28 |
Lampasas |
007 |
4,923 |
0 |
18 |
1 |
0 |
0 |
19 |
107 |
La Salle |
008 |
1,562 |
0 |
1 |
0 |
0 |
0 |
1 |
0 |
Lavaca |
008 |
4,263 |
0 |
7 |
0 |
0 |
0 |
7 |
28 |
Lee |
007 |
4,076 |
0 |
14 |
0 |
0 |
0 |
14 |
55 |
Leon |
007 |
3,867 |
1 |
3 |
0 |
0 |
0 |
4 |
6 |
Liberty |
006 |
20,300 |
0 |
22 |
0 |
0 |
0 |
22 |
54 |
Limestone |
007 |
5,653 |
0 |
7 |
0 |
0 |
0 |
7 |
14 |
Lipscomb |
001 |
878 |
0 |
1 |
0 |
0 |
0 |
1 |
2 |
Live Oak |
011 |
2,218 |
0 |
7 |
0 |
0 |
0 |
7 |
14 |
Llano |
007 |
3,144 |
0 |
2 |
0 |
0 |
0 |
2 |
6 |
Loving |
009 |
7 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Lubbock |
001 |
72,975 |
13 |
218 |
4 |
0 |
1 |
236 |
791 |
Lynn |
001 |
1,594 |
0 |
2 |
0 |
0 |
0 |
2 |
8 |
Madison |
007 |
3,082 |
0 |
3 |
0 |
0 |
0 |
3 |
4 |
Marion |
004 |
1,925 |
0 |
1 |
0 |
0 |
0 |
1 |
4 |
Martin |
009 |
1,449 |
0 |
2 |
0 |
0 |
0 |
2 |
2 |
Mason |
009 |
803 |
0 |
1 |
0 |
0 |
0 |
1 |
2 |
Matagorda |
006 |
9,567 |
0 |
6 |
0 |
0 |
1 |
7 |
33 |
Maverick |
008 |
18,645 |
0 |
3 |
0 |
0 |
0 |
3 |
5 |
McCulloch |
009 |
1,998 |
0 |
17 |
0 |
0 |
0 |
17 |
67 |
McLennan |
007 |
61,080 |
3 |
99 |
3 |
0 |
1 |
106 |
671 |
McMullen |
011 |
121 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Medina |
008 |
12,245 |
1 |
27 |
1 |
0 |
0 |
29 |
109 |
Menard |
009 |
422 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Midland |
009 |
39,433 |
3 |
50 |
1 |
0 |
0 |
54 |
157 |
Milam |
007 |
6,366 |
0 |
3 |
1 |
0 |
0 |
4 |
60 |
Mills |
007 |
1,153 |
0 |
9 |
0 |
0 |
1 |
10 |
151 |
Mitchell |
002 |
1,813 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Montague |
002 |
4,611 |
0 |
5 |
0 |
0 |
0 |
5 |
10 |
Montgomery |
006 |
139,135 |
7 |
180 |
5 |
0 |
1 |
193 |
712 |
Moore |
001 |
7,286 |
0 |
3 |
0 |
0 |
0 |
3 |
11 |
Morris |
004 |
3,038 |
0 |
6 |
0 |
0 |
0 |
6 |
19 |
Motley |
001 |
244 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Nacogdoches |
005 |
17,077 |
1 |
42 |
0 |
0 |
0 |
43 |
136 |
Navarro |
003 |
13,432 |
2 |
48 |
1 |
0 |
1 |
52 |
225 |
Newton |
005 |
3,067 |
0 |
1 |
0 |
0 |
0 |
1 |
5 |
Nolan |
002 |
4,006 |
0 |
5 |
0 |
0 |
0 |
5 |
11 |
Nueces |
011 |
88,260 |
10 |
117 |
3 |
0 |
0 |
130 |
760 |
Ochiltree |
001 |
3,525 |
0 |
5 |
0 |
0 |
0 |
5 |
7 |
Oldham |
001 |
541 |
0 |
0 |
1 |
0 |
0 |
1 |
437 |
Orange |
005 |
20,768 |
0 |
44 |
0 |
0 |
0 |
44 |
159 |
Palo Pinto |
003 |
7,172 |
0 |
7 |
0 |
0 |
0 |
7 |
16 |
Panola |
004 |
5,913 |
0 |
3 |
0 |
0 |
0 |
3 |
8 |
Parker |
003 |
32,597 |
0 |
45 |
1 |
0 |
0 |
46 |
195 |
Parmer |
001 |
3,335 |
0 |
3 |
0 |
0 |
0 |
3 |
10 |
Pecos |
009 |
3,967 |
0 |
1 |
0 |
0 |
0 |
1 |
1 |
Polk |
005 |
9,774 |
0 |
18 |
0 |
0 |
0 |
18 |
85 |
Potter |
001 |
34,841 |
7 |
47 |
1 |
0 |
0 |
55 |
156 |
Presidio |
010 |
2,215 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Rains |
004 |
2,379 |
0 |
4 |
0 |
0 |
0 |
4 |
12 |
Randall |
001 |
32,138 |
2 |
100 |
4 |
0 |
0 |
106 |
439 |
Reagan |
009 |
1,004 |
0 |
2 |
0 |
0 |
0 |
2 |
3 |
Real |
008 |
595 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Red River |
004 |
2,700 |
0 |
3 |
0 |
0 |
0 |
3 |
5 |
Reeves |
009 |
3,126 |
0 |
2 |
0 |
0 |
0 |
2 |
3 |
Refugio |
011 |
1,710 |
0 |
4 |
0 |
0 |
0 |
4 |
15 |
Roberts |
001 |
241 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Robertson |
007 |
4,243 |
0 |
3 |
0 |
0 |
0 |
3 |
11 |
Rockwall |
003 |
26,244 |
0 |
30 |
0 |
0 |
0 |
30 |
80 |
Runnels |
002 |
2,576 |
0 |
6 |
0 |
0 |
0 |
6 |
14 |
Rusk |
004 |
12,988 |
0 |
22 |
0 |
0 |
0 |
22 |
67 |
Sabine |
005 |
2,022 |
0 |
2 |
0 |
0 |
0 |
2 |
7 |
San Augustine |
005 |
1,810 |
0 |
8 |
0 |
0 |
0 |
8 |
30 |
San Jacinto |
005 |
6,435 |
0 |
7 |
0 |
0 |
0 |
7 |
11 |
San Patricio |
011 |
17,858 |
0 |
22 |
2 |
0 |
1 |
25 |
181 |
San Saba |
007 |
1,212 |
2 |
6 |
1 |
0 |
0 |
9 |
89 |
Schleicher |
009 |
1,132 |
0 |
1 |
0 |
0 |
0 |
1 |
3 |
Scurry |
002 |
4,460 |
0 |
3 |
0 |
0 |
0 |
3 |
9 |
Shackelford |
002 |
803 |
0 |
2 |
0 |
0 |
0 |
2 |
6 |
Shelby |
005 |
6,856 |
1 |
18 |
0 |
0 |
0 |
19 |
63 |
Sherman |
001 |
854 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Smith |
004 |
56,163 |
11 |
112 |
3 |
0 |
3 |
129 |
568 |
Somervell |
003 |
2,203 |
0 |
4 |
0 |
0 |
0 |
4 |
9 |
Starr |
011 |
20,650 |
0 |
8 |
0 |
0 |
0 |
8 |
40 |
Stephens |
002 |
2,265 |
0 |
1 |
0 |
0 |
0 |
1 |
2 |
Sterling |
009 |
277 |
0 |
1 |
0 |
0 |
0 |
1 |
2 |
Stonewall |
002 |
320 |
0 |
2 |
0 |
0 |
0 |
2 |
8 |
Sutton |
009 |
1,112 |
0 |
3 |
0 |
0 |
0 |
3 |
9 |
Swisher |
001 |
2,025 |
0 |
6 |
0 |
0 |
0 |
6 |
24 |
Tarrant |
003 |
529,400 |
31 |
686 |
5 |
0 |
1 |
723 |
2,158 |
Taylor |
002 |
33,477 |
7 |
90 |
4 |
0 |
0 |
101 |
358 |
Terrell |
009 |
213 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Terry |
001 |
3,378 |
0 |
2 |
0 |
0 |
0 |
2 |
5 |
Throckmorton |
002 |
323 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Titus |
004 |
10,095 |
0 |
4 |
0 |
0 |
0 |
4 |
8 |
Tom Green |
009 |
27,232 |
4 |
36 |
3 |
0 |
0 |
43 |
220 |
Travis |
007 |
274,241 |
25 |
356 |
5 |
0 |
2 |
388 |
1,133 |
Trinity |
005 |
3,000 |
0 |
7 |
0 |
0 |
0 |
7 |
23 |
Tyler |
005 |
4,170 |
0 |
9 |
1 |
0 |
1 |
11 |
82 |
Upshur |
004 |
9,982 |
0 |
21 |
0 |
0 |
0 |
21 |
88 |
Upton |
009 |
963 |
0 |
1 |
0 |
0 |
0 |
1 |
2 |
Uvalde |
008 |
7,748 |
0 |
5 |
0 |
0 |
0 |
5 |
14 |
Val Verde |
008 |
15,133 |
1 |
10 |
0 |
0 |
0 |
11 |
22 |
Van Zandt |
004 |
12,704 |
0 |
50 |
0 |
0 |
0 |
50 |
166 |
Victoria |
008 |
23,319 |
3 |
40 |
2 |
0 |
1 |
46 |
244 |
Walker |
006 |
11,681 |
0 |
10 |
1 |
0 |
1 |
12 |
285 |
Waller |
006 |
11,991 |
0 |
15 |
0 |
0 |
0 |
15 |
40 |
Ward |
009 |
2,893 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Washington |
007 |
7,696 |
0 |
4 |
1 |
0 |
0 |
5 |
35 |
Webb |
011 |
92,593 |
2 |
84 |
2 |
0 |
0 |
88 |
408 |
Wharton |
006 |
11,154 |
0 |
14 |
0 |
0 |
0 |
14 |
51 |
Wheeler |
001 |
1,372 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Wichita |
002 |
31,177 |
4 |
43 |
1 |
0 |
0 |
48 |
156 |
Wilbarger |
002 |
3,466 |
0 |
2 |
0 |
0 |
0 |
2 |
3 |
Willacy |
011 |
6,085 |
0 |
4 |
1 |
0 |
0 |
5 |
58 |
Williamson |
007 |
137,516 |
9 |
233 |
4 |
0 |
1 |
247 |
881 |
Wilson |
008 |
11,834 |
0 |
30 |
0 |
0 |
0 |
30 |
86 |
Winkler |
009 |
2,129 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Wise |
003 |
16,317 |
0 |
14 |
0 |
0 |
0 |
14 |
40 |
Wood |
004 |
8,810 |
0 |
20 |
1 |
0 |
0 |
21 |
110 |
Yoakum |
001 |
2,597 |
0 |
2 |
0 |
0 |
0 |
2 |
5 |
Young |
002 |
4,524 |
0 |
9 |
0 |
0 |
0 |
9 |
18 |
Zapata |
011 |
5,076 |
0 |
4 |
0 |
0 |
0 |
4 |
15 |
Zavala |
008 |
3,701 |
0 |
1 |
0 |
0 |
0 |
1 |
0 |
Out of State |
0 |
0 |
137 |
0 |
0 |
0 |
137 |
280 |
|
State Total |
7,266,760 |
381 |
9,692 |
156 |
3 |
75 |
10,307 |
40,525 |
Population Data Source: Texas State Data Center, University of Texas (San Antonio) - based on Census 2010 data
* Residential Treatment Centers (RTC) are a care type of General Residential Operations (GRO). To determine total number of GROs, add the counts of RTCs to the count of GROs.