Professional, Scientific, and Technical Services
vs.
Health Care and Social Assistance

Earnings Structure and Growth by County
Texas, 2001-2022
Earnings by County
Percent of Total Earnings, 2022
Select a Year/Indicator:Percent of Total
Earnings
Location
Quotients
Percent of Sector Total
Statewide
Earnings by County
View Distribution Totals as:Actual Percent
   
 
Professional, Scientific, and Technical Services vs. Health Care and Social Assistance
Texas Earnings Distribution by County:
Percent of Total Earnings, 2022
More
than
7%
7%
to
6%
6%
to
5%
5%
to
4%
4%
to
3%
3%
to
2%
2%
or
Below
Suppressed
or
Undefined
Total
Professional, Scientific, and Technical Services
34
15
18
29
32
31
25
70
254
Health Care and Social Assistance
82
13
12
9
8
12
19
99
254
 
   
Select an alternate year:
   
 
Professional, Scientific, and Technical Services
vs.
Health Care and Social Assistance

Earnings Structure by County:
Texas, 2022
 
Professional, Scientific, and Technical Services
 
Health Care and Social Assistance
 
 
 
158,874
10.0
0.9
0.1
 
139,383
8.8
0.8
0.1
 
19,510
2.5
0.2
0.0
 
S
S
U
S
 
103,167
4.3
0.4
0.1
 
464,901
19.2
1.7
0.4
 
37,749
7.6
0.7
0.0
 
S
S
U
S
 
S
S
U
S
 
S
S
U
S
 
6,757
17.2
1.5
0.0
 
S
S
U
S
 
S
S
U
S
 
83,516
7.3
0.7
0.1
 
131,984
12.3
1.1
0.1
 
51,020
4.8
0.4
0.0
 
6,613
3.0
0.3
0.0
 
S
S
U
S
 
17,915
6.6
0.6
0.0
 
S
S
U
S
 
99,422
5.6
0.5
0.1
 
120,803
6.8
0.6
0.1
 
4,333
3.4
0.3
0.0
 
26,665
20.9
1.9
0.0
 
15,056
3.2
0.3
0.0
 
S
S
U
S
 
587,820
4.2
0.4
0.4
 
2,214,183
15.6
1.4
1.8
 
7,158,385
8.6
0.8
4.8
 
9,661,814
11.6
1.0
7.8
 
27,043
7.7
0.7
0.0
 
18,354
5.2
0.5
0.0
 
1,498
3.6
0.3
0.0
 
S
S
U
S
 
13,191
4.6
0.4
0.0
 
S
S
U
S
 
150,677
5.2
0.5
0.1
 
567,230
19.5
1.8
0.5
 
513,185
4.7
0.4
0.3
 
1,027,271
9.4
0.8
0.8
 
771,703
9.1
0.8
0.5
 
1,042,201
12.3
1.1
0.8
 
17,223
5.9
0.5
0.0
 
21,980
7.6
0.7
0.0
 
S
S
U
S
 
S
S
U
S
 
S
S
U
S
 
15,650
8.9
0.8
0.0
 
S
S
U
S
 
125,098
12.6
1.1
0.1
 
12,102
3.4
0.3
0.0
 
S
S
U
S
 
87,539
6.0
0.5
0.1
 
187,249
12.9
1.2
0.2
 
25,242
3.3
0.3
0.0
 
95,084
12.4
1.1
0.1
 
85,861
5.5
0.5
0.1
 
24,417
1.6
0.1
0.0
 
12,155
5.6
0.5
0.0
 
9,729
4.5
0.4
0.0
 
607,310
6.5
0.6
0.4
 
1,986,589
21.2
1.9
1.6
 
12,230
4.2
0.4
0.0
 
S
S
U
S
 
11,042
1.8
0.2
0.0
 
S
S
U
S
 
13,821
2.5
0.2
0.0
 
S
S
U
S
 
6,127
1.4
0.1
0.0
 
4,092
0.9
0.1
0.0
 
S
S
U
S
 
S
S
U
S
 
S
S
U
S
 
S
S
U
S
 
55,087
26.1
2.3
0.0
 
S
S
U
S
 
5,469
4.5
0.4
0.0
 
11,756
9.6
0.9
0.0
 
S
S
U
S
 
S
S
U
S
 
S
S
U
S
 
S
S
U
S
 
11,632
7.5
0.7
0.0
 
S
S
U
S
 
9,917,940
16.4
1.4
6.6
 
5,101,250
8.4
0.8
4.1
 
3,143
7.5
0.7
0.0
 
11,611
27.5
2.5
0.0
 
21,908
4.1
0.4
0.0
 
56,141
10.6
1.0
0.0
 
396,254
7.0
0.6
0.3
 
559,189
9.8
0.9
0.5
 
S
S
U
S
 
S
S
U
S
 
S
S
U
S
 
6,815
9.6
0.9
0.0
 
46,417
3.3
0.3
0.0
 
46,943
3.4
0.3
0.0
 
130,022
11.5
1.0
0.1
 
63,761
5.6
0.5
0.1
 
8,590
12.1
1.1
0.0
 
S
S
U
S
 
4,133
3.1
0.3
0.0
 
4,813
3.6
0.3
0.0
 
4,154
4.3
0.4
0.0
 
S
S
U
S
 
8,208
11.4
1.0
0.0
 
4,561
6.3
0.6
0.0
 
1,147
0.8
0.1
0.0
 
S
S
U
S
 
11,558
2.6
0.2
0.0
 
S
S
U
S
 
34,056,833
15.0
1.3
22.7
 
19,330,360
8.5
0.8
15.7
 
12,104
3.6
0.3
0.0
 
S
S
U
S
 
S
S
U
S
 
12,670
1.3
0.1
0.0
 
1,849
2.7
0.2
0.0
 
10,933
15.9
1.4
0.0
 
2,982,636
11.0
1.0
2.0
 
2,353,807
8.7
0.8
1.9
 
23,023
4.4
0.4
0.0
 
21,329
4.0
0.4
0.0
 
S
S
U
S
 
395
1.3
0.1
0.0
 
10,099
2.0
0.2
0.0
 
S
S
U
S
 
7,071
11.9
1.0
0.0
 
1,694
2.9
0.3
0.0
 
2,436
1.3
0.1
0.0
 
29,978
15.4
1.4
0.0
 
12,605
2.6
0.2
0.0
 
S
S
U
S
 
264,437
3.7
0.3
0.2
 
370,202
5.1
0.5
0.3
 
S
S
U
S
 
S
S
U
S
 
256,657
5.7
0.5
0.2
 
344,653
7.6
0.7
0.3
 
1,029,419
4.1
0.4
0.7
 
2,673,552
10.6
1.0
2.2
 
65,552
5.1
0.5
0.0
 
103,039
8.0
0.7
0.1
 
13,372
5.3
0.5
0.0
 
S
S
U
S
 
S
S
U
S
 
S
S
U
S
 
29,092
4.8
0.4
0.0
 
S
S
U
S
 
1,584
2.3
0.2
0.0
 
3,706
5.4
0.5
0.0
 
S
S
U
S
 
3,197
3.1
0.3
0.0
 
S
S
U
S
 
S
S
U
S
 
2,092,326
9.6
0.8
1.4
 
2,310,331
10.6
1.0
1.9
 
11,792
3.3
0.3
0.0
 
70,494
19.8
1.8
0.1
 
S
S
U
S
 
29,105
8.0
0.7
0.0
 
S
S
U
S
 
S
S
U
S
 
15,513
2.0
0.2
0.0
 
S
S
U
S
 
601,726
6.0
0.5
0.4
 
669,886
6.7
0.6
0.5
 
S
S
U
S
 
4,585
4.4
0.4
0.0
 
56,152
6.2
0.5
0.0
 
126,399
13.9
1.3
0.1
 
S
S
U
S
 
821
2.4
0.2
0.0
 
5,774
6.5
0.6
0.0
 
S
S
U
S
 
23,722
3.0
0.3
0.0
 
S
S
U
S
 
16,537
2.7
0.2
0.0
 
S
S
U
S
 
131,849
3.6
0.3
0.1
 
685,347
18.9
1.7
0.6
 
277,190
4.7
0.4
0.2
 
896,197
15.2
1.4
0.7
 
36,822
6.1
0.5
0.0
 
S
S
U
S
 
123,883
3.3
0.3
0.1
 
204,464
5.5
0.5
0.2
 
25,159
3.1
0.3
0.0
 
S
S
U
S
 
S
S
U
S
 
2,624
6.4
0.6
0.0
 
7,926
4.3
0.4
0.0
 
S
S
U
S
 
4,929
1.6
0.1
0.0
 
2,576
0.9
0.1
0.0
 
S
S
U
S
 
2,649
2.5
0.2
0.0
 
51,064
5.8
0.5
0.0
 
107,762
12.2
1.1
0.1
 
37,131,461
12.3
1.1
24.8
 
22,676,449
7.5
0.7
18.4
 
79,732
4.2
0.4
0.1
 
S
S
U
S
 
4,409
1.1
0.1
0.0
 
S
S
U
S
 
3,071
2.2
0.2
0.0
 
4,220
3.0
0.3
0.0
 
518,618
7.3
0.6
0.3
 
498,659
7.0
0.6
0.4
 
5,723
3.5
0.3
0.0
 
S
S
U
S
 
75,096
5.7
0.5
0.1
 
130,880
9.9
0.9
0.1
 
634,697
3.6
0.3
0.4
 
3,498,787
19.6
1.8
2.8
 
S
S
U
S
 
S
S
U
S
 
S
S
U
S
 
S
S
U
S
 
97,007
7.1
0.6
0.1
 
164,835
12.1
1.1
0.1
 
40,476
3.5
0.3
0.0
 
88,941
7.7
0.7
0.1
 
90,578
14.9
1.3
0.1
 
33,351
5.5
0.5
0.0
 
S
S
U
S
 
S
S
U
S
 
813
0.7
0.1
0.0
 
95
0.1
0.0
0.0
 
141,711
5.9
0.5
0.1
 
202,639
8.5
0.8
0.2
 
17,734
2.4
0.2
0.0
 
S
S
U
S
 
1,476
1.7
0.2
0.0
 
285
0.3
0.0
0.0
 
S
S
U
S
 
S
S
U
S
 
S
S
U
S
 
11,625
3.0
0.3
0.0
 
27,319
4.4
0.4
0.0
 
S
S
U
S
 
4,326
9.1
0.8
0.0
 
1,049
2.2
0.2
0.0
 
760,748
7.4
0.7
0.5
 
1,192,132
11.6
1.0
1.0
 
515
0.5
0.0
0.0
 
12,310
11.5
1.0
0.0
 
21,741
2.3
0.2
0.0
 
S
S
U
S
 
134,777
3.1
0.3
0.1
 
333,288
7.7
0.7
0.3
 
S
S
U
S
 
S
S
U
S
 
S
S
U
S
 
11,711
2.3
0.2
0.0
 
163,356
5.6
0.5
0.1
 
188,253
6.4
0.6
0.2
 
187,078
10.4
0.9
0.1
 
159,292
8.9
0.8
0.1
 
S
S
U
S
 
S
S
U
S
 
107
0.3
0.0
0.0
 
S
S
U
S
 
72,898
4.6
0.4
0.0
 
S
S
U
S
 
706
0.8
0.1
0.0
 
S
S
U
S
 
S
S
U
S
 
S
S
U
S
 
S
S
U
S
 
754
1.1
0.1
0.0
 
S
S
U
S
 
S
S
U
S
 
S
S
U
S
 
S
S
U
S
 
39,829
2.4
0.2
0.0
 
229,929
14.0
1.3
0.2
 
8,610
1.9
0.2
0.0
 
18,781
4.1
0.4
0.0
 
18,899
5.1
0.4
0.0
 
S
S
U
S
 
5,803
1.9
0.2
0.0
 
6,490
2.1
0.2
0.0
 
20,324
4.2
0.4
0.0
 
S
S
U
S
 
14,944
2.6
0.2
0.0
 
18,191
3.2
0.3
0.0
 
14,502
2.9
0.3
0.0
 
6,637
1.3
0.1
0.0
 
S
S
U
S
 
112,212
7.7
0.7
0.1
 
41,222
7.1
0.6
0.0
 
45,120
7.8
0.7
0.0
 
S
S
U
S
 
S
S
U
S
 
13,264
4.4
0.4
0.0
 
S
S
U
S
 
S
S
U
S
 
21,708
5.2
0.5
0.0
 
0
0.0
0.0
0.0
 
S
S
U
S
 
651,102
6.0
0.5
0.4
 
1,628,783
15.0
1.4
1.3
 
4,158
2.5
0.2
0.0
 
S
S
U
S
 
5,292
3.3
0.3
0.0
 
12,105
7.6
0.7
0.0
 
578,322
6.0
0.5
0.4
 
1,077,284
11.3
1.0
0.9
 
S
S
U
S
 
890
2.1
0.2
0.0
 
12,675
4.4
0.4
0.0
 
S
S
U
S
 
3,004
2.3
0.2
0.0
 
S
S
U
S
 
2,459
1.2
0.1
0.0
 
12,371
5.9
0.5
0.0
 
S
S
U
S
 
5,456
6.8
0.6
0.0
 
S
S
U
S
 
S
S
U
S
 
30,011
2.6
0.2
0.0
 
S
S
U
S
 
48,022
6.3
0.6
0.0
 
S
S
U
S
 
S
S
U
S
 
S
S
U
S
 
638,188
3.1
0.3
0.4
 
549,061
2.6
0.2
0.4
 
12,217
3.0
0.3
0.0
 
S
S
U
S
 
3,692
4.7
0.4
0.0
 
6,314
8.1
0.7
0.0
 
3,697
2.6
0.2
0.0
 
S
S
U
S
 
20,246
6.4
0.6
0.0
 
S
S
U
S
 
2,438,802
10.2
0.9
1.6
 
2,217,375
9.3
0.8
1.8
 
S
S
U
S
 
15,814
1.5
0.1
0.0
 
18,188
6.1
0.5
0.0
 
9,517
3.2
0.3
0.0
 
S
S
U
S
 
1,840
8.3
0.8
0.0
 
70,679
3.8
0.3
0.0
 
245,038
13.3
1.2
0.2
 
S
S
U
S
 
S
S
U
S
 
2,932
3.7
0.3
0.0
 
4,969
6.3
0.6
0.0
 
S
S
U
S
 
S
S
U
S
 
1,034,502
7.4
0.7
0.7
 
2,069,488
14.9
1.3
1.7
 
5,969
1.3
0.1
0.0
 
S
S
U
S
 
S
S
U
S
 
S
S
U
S
 
118,456
6.4
0.6
0.1
 
85,618
4.6
0.4
0.1
 
20,080
3.4
0.3
0.0
 
S
S
U
S
 
S
S
U
S
 
28,674
4.0
0.4
0.0
 
232,749
6.7
0.6
0.2
 
315,806
9.1
0.8
0.3
 
S
S
U
S
 
9,052
1.4
0.1
0.0
 
24,312
5.9
0.5
0.0
 
10,855
2.7
0.2
0.0
 
S
S
U
S
 
91,778
10.5
0.9
0.1
 
353,933
5.2
0.5
0.2
 
1,058,975
15.4
1.4
0.9
 
7,610
4.0
0.4
0.0
 
4,570
2.4
0.2
0.0
 
13,554
9.2
0.8
0.0
 
6,895
4.7
0.4
0.0
 
143,825
4.8
0.4
0.1
 
234,991
7.8
0.7
0.2
 
S
S
U
S
 
135
0.1
0.0
0.0
 
1,773
3.3
0.3
0.0
 
6,312
11.8
1.1
0.0
 
5,384
2.9
0.3
0.0
 
15,711
8.4
0.8
0.0
 
S
S
U
S
 
6,410
1.0
0.1
0.0
 
1,396
1.0
0.1
0.0
 
S
S
U
S
 
S
S
U
S
 
S
S
U
S
 
13,134
2.9
0.3
0.0
 
S
S
U
S
 
314,726
9.9
0.9
0.2
 
518,073
16.3
1.5
0.4
 
S
S
U
S
 
12,223
5.8
0.5
0.0
 
S
S
U
S
 
93,353
8.5
0.8
0.1
 
7,037
4.1
0.4
0.0
 
S
S
U
S
 
3,528
1.9
0.2
0.0
 
19,303
10.3
0.9
0.0
 
18,270
9.7
0.9
0.0
 
S
S
U
S
 
78,115
4.3
0.4
0.1
 
59,069
3.2
0.3
0.0
 
3,099
3.6
0.3
0.0
 
3,628
4.2
0.4
0.0
 
S
S
U
S
 
S
S
U
S
 
S
S
U
S
 
8,525
1.5
0.1
0.0
 
2,275
0.9
0.1
0.0
 
S
S
U
S
 
S
S
U
S
 
S
S
U
S
 
713
0.3
0.0
0.0
 
535
0.2
0.0
0.0
 
624,169
5.3
0.5
0.4
 
1,976,681
16.7
1.5
1.6
 
11,063
3.0
0.3
0.0
 
14,914
4.0
0.4
0.0
 
13,197
1.5
0.1
0.0
 
120,612
13.4
1.2
0.1
 
8,701
3.9
0.3
0.0
 
12,008
5.3
0.5
0.0
 
S
S
U
S
 
S
S
U
S
 
S
S
U
S
 
27,841
40.9
3.7
0.0
 
4,124
3.4
0.3
0.0
 
2,358
1.9
0.2
0.0
 
S
S
U
S
 
4,672
1.4
0.1
0.0
 
8,152,267
8.4
0.7
5.4
 
10,224,631
10.5
1.0
8.3
 
233,567
4.3
0.4
0.2
 
937,862
17.3
1.6
0.8
 
S
S
U
S
 
S
S
U
S
 
6,177
2.4
0.2
0.0
 
16,963
6.5
0.6
0.0
 
S
S
U
S
 
S
S
U
S
 
S
S
U
S
 
87,559
6.7
0.6
0.1
 
212,631
4.6
0.4
0.1
 
597,341
13.0
1.2
0.5
 
24,821,277
23.2
2.0
16.6
 
7,859,456
7.3
0.7
6.4
 
5,523
3.5
0.3
0.0
 
S
S
U
S
 
8,916
3.5
0.3
0.0
 
S
S
U
S
 
33,241
5.5
0.5
0.0
 
S
S
U
S
 
999
0.4
0.0
0.0
 
1,530
0.6
0.1
0.0
 
S
S
U
S
 
S
S
U
S
 
37,872
2.6
0.2
0.0
 
135,762
9.5
0.9
0.1
 
40,111
4.8
0.4
0.0
 
42,039
5.0
0.5
0.0
 
112,242
3.6
0.3
0.1
 
440,338
14.0
1.3
0.4
 
44,183
2.7
0.2
0.0
 
115,604
6.9
0.6
0.1
 
S
S
U
S
 
49,711
2.7
0.2
0.0
 
12,445
2.6
0.2
0.0
 
S
S
U
S
 
S
S
U
S
 
79,369
5.9
0.5
0.1
 
257,176
3.6
0.3
0.2
 
777,460
10.8
1.0
0.6
 
S
S
U
S
 
132,915
13.3
1.2
0.1
 
4,551
4.1
0.4
0.0
 
S
S
U
S
 
117,647
2.8
0.2
0.1
 
780,300
18.3
1.7
0.6
 
7,054
1.9
0.2
0.0
 
S
S
U
S
 
S
S
U
S
 
34,900
12.2
1.1
0.0
 
2,857,368
13.2
1.2
1.9
 
1,695,327
7.8
0.7
1.4
 
45,535
6.6
0.6
0.0
 
44,969
6.5
0.6
0.0
 
4,450
1.2
0.1
0.0
 
573
0.2
0.0
0.0
 
87,697
4.9
0.4
0.1
 
125,118
7.0
0.6
0.1
 
33,795
4.1
0.4
0.0
 
81,422
9.8
0.9
0.1
 
S
S
U
S
 
S
S
U
S
 
15,469
2.5
0.2
0.0
 
S
S
U
S
 
1,096
0.4
0.0
0.0
 
18,062
7.4
0.7
0.0
 
3,849
2.2
0.2
0.0
 
11,202
6.4
0.6
0.0
 
 
 
 
 
 
 
 
 
 
 
 
149,705,565
11.1
1.0
100.0
 
123,500,557
9.2
0.8
100.0
 
146,683,421
11.6
1.0
98.0
 
117,216,395
9.3
0.8
94.9
 
3,022,144
3.7
0.3
2.0
 
6,284,162
7.7
0.7
5.1
 
 
 
 
 
 
 
 
 
 
 
 
1,725,868,000
11.3
1.0
 
1,684,068,000
11.1
1.0
 
1,674,679,098
12.0
1.1
 
1,548,491,080
11.1
1.0
 
51,188,902
3.9
0.3
 
135,576,920
10.4
0.9
Source: Calculations by the Texas Regional Economic Analysis Project (TX-REAP)
with data provided by the U.S. Department of Commerce, Bureau of Economic Analysis
November 2023
REAP_PI_CA1600N_611200_611600_SA
 
   
Select an alternate year:
   
 
Professional, Scientific, and Technical Services
vs.
Health Care and Social Assistance

Earnings Structure by Region:
Texas, 2022
 
Professional, Scientific, and Technical Services
 
Health Care and Social Assistance
Metropolitan Statistical Areas
 
 
 
S
S
U
S
 
S
S
U
S
 
S
S
U
S
 
1,311,547
12.3
1.1
1.1
 
28,321,927
20.5
1.8
18.9
 
10,269,329
7.4
0.7
8.3
 
930,268
7.1
0.6
0.6
 
1,385,512
10.6
1.0
1.1
 
607,310
6.5
0.6
0.4
 
1,986,589
21.2
1.9
1.6
 
796,939
8.6
0.8
0.5
 
1,075,066
11.6
1.0
0.9
 
1,112,617
7.1
0.6
0.7
 
2,128,557
13.5
1.2
1.7
 
56,441,349
13.0
1.1
37.7
 
39,037,878
9.0
0.8
31.6
 
1,030,232
4.1
0.4
0.7
 
2,673,647
10.5
1.0
2.2
 
43,073,545
11.5
1.0
28.8
 
S
S
U
S
 
736,741
4.7
0.4
0.5
 
S
S
U
S
 
257,176
3.6
0.3
0.2
 
777,460
10.8
1.0
0.6
 
S
S
U
S
 
S
S
U
S
 
663,468
6.0
0.5
0.4
 
S
S
U
S
 
634,697
3.6
0.3
0.4
 
3,498,787
19.6
1.8
2.8
 
640,647
3.1
0.3
0.4
 
561,432
2.7
0.2
0.5
 
264,437
3.7
0.3
0.2
 
370,202
5.1
0.5
0.3
 
214,107
4.5
0.4
0.1
 
597,626
12.7
1.1
0.5
 
S
S
U
S
 
10,774,432
11.1
1.0
8.7
 
131,849
3.6
0.3
0.1
 
685,347
18.9
1.7
0.6
 
174,222
4.3
0.4
0.1
 
647,337
16.0
1.4
0.5
 
624,169
5.3
0.5
0.4
 
1,976,681
16.7
1.5
1.6
 
118,016
3.6
0.3
0.1
 
S
S
U
S
 
591,694
6.0
0.5
0.4
 
S
S
U
S
 
S
S
U
S
 
S
S
U
S
 
 
 
 
 
 
 
 
 
 
 
 
149,705,565
11.1
1.0
100.0
 
123,500,557
9.2
0.8
100.0
 
146,683,421
11.6
1.0
98.0
 
117,216,395
9.3
0.8
94.9
 
3,022,144
3.7
0.3
2.0
 
6,284,162
7.7
0.7
5.1
 
 
 
 
 
 
 
 
 
 
 
 
1,725,868,000
11.3
1.0
 
1,684,068,000
11.1
1.0
 
1,674,679,098
12.0
1.1
 
1,548,491,080
11.1
1.0
 
51,188,902
3.9
0.3
 
135,576,920
10.4
0.9
Source: Calculations by the Texas Regional Economic Analysis Project (TX-REAP)
with data provided by the U.S. Department of Commerce, Bureau of Economic Analysis
November 2023
REAP_PI_CA1600N_611200_611600_SB
 
   
Real* Earnings Growth by County
Growth Rates, 2022
Select a Year/Indicator:Growth RatesComponent Contributions
Real* Earnings Growth by County
View Distribution Totals as:Actual Percent
   
 
Professional, Scientific, and Technical Services vs. Health Care and Social Assistance
Texas Real* Earnings Growth Distribution by County:
Growth Rates, 2022
More
than
40%
40%
to
30%
30%
to
20%
20%
to
10%
10%
to
0%
0%
to
-10%
-10%
or
Below
Suppressed
or
Undefined
Total
Professional, Scientific, and Technical Services
10
2
9
38
69
19
13
94
254
Health Care and Social Assistance
2
2
2
6
67
53
13
109
254
 
   
Select an alternate year:
   
 
Professional, Scientific, and Technical Services
vs.
Health Care and Social Assistance

Real* Earnings Growth by County:
Texas, 2022
 
Professional, Scientific, and Technical Services
 
Health Care and Social Assistance
 
 
 
N
N
N
N
 
5.1
0.4
4.7
4.0
 
16.8
0.4
15.2
10.2
 
N
N
N
N
 
-0.8
0.0
-2.5
-7.5
 
-1.2
-0.2
-1.6
-2.3
 
N
N
N
N
 
N
N
N
N
 
N
N
N
N
 
N
N
N
N
 
38.1
5.1
36.4
31.4
 
N
N
N
N
 
N
N
N
N
 
-6.9
-0.6
-7.4
-8.1
 
16.0
1.8
14.3
9.4
 
5.4
0.3
5.0
4.3
 
N
N
N
N
 
N
N
N
N
 
-5.2
-0.4
-6.8
-11.8
 
N
N
N
N
 
12.4
0.6
10.7
5.7
 
3.1
0.2
2.7
2.0
 
N
N
N
N
 
6.3
1.3
5.9
5.2
 
10.5
0.3
8.8
3.8
 
N
N
N
N
 
1.8
0.1
0.2
-4.8
 
2.6
0.4
2.2
1.5
 
3.7
0.3
2.0
-2.9
 
-0.1
0.0
-0.5
-1.2
 
29.3
1.8
27.6
22.6
 
84.2
2.5
83.8
83.1
 
N
N
N
N
 
N
N
N
N
 
3.0
0.1
1.3
-3.7
 
N
N
N
N
 
1.7
0.1
0.1
-4.9
 
-1.8
-0.4
-2.3
-3.0
 
-0.9
0.0
-2.6
-7.6
 
-1.0
-0.1
-1.4
-2.1
 
10.9
0.9
9.2
4.2
 
30.3
3.0
29.9
29.2
 
-17.3
-1.2
-18.9
-23.9
 
-4.4
-0.3
-4.8
-5.5
 
N
N
N
N
 
N
N
N
N
 
N
N
N
N
 
-2.0
-0.2
-2.4
-3.1
 
N
N
N
N
 
3.4
0.4
3.0
2.3
 
1.4
0.0
-0.3
-5.3
 
N
N
N
N
 
3.3
0.2
1.6
-3.3
 
3.5
0.4
3.1
2.4
 
N
N
N
N
 
4.8
0.6
4.3
3.6
 
-17.1
-1.1
-18.8
-23.8
 
1.1
0.0
0.7
0.0
 
32.8
1.4
31.1
26.1
 
-8.6
-0.4
-9.0
-9.7
 
13.2
0.8
11.5
6.5
 
6.0
1.2
5.5
4.8
 
-0.7
0.0
-2.4
-7.4
 
N
N
N
N
 
6.2
0.1
4.5
-0.5
 
N
N
N
N
 
N
N
N
N
 
N
N
N
N
 
19.2
0.2
17.6
12.6
 
-6.5
-0.1
-6.9
-7.6
 
N
N
N
N
 
N
N
N
N
 
N
N
N
N
 
N
N
N
N
 
180.6
19.8
178.9
173.9
 
N
N
N
N
 
N
N
N
N
 
N
N
N
N
 
N
N
N
N
 
N
N
N
N
 
N
N
N
N
 
N
N
N
N
 
89.7
3.6
88.0
83.1
 
N
N
N
N
 
14.3
2.2
12.6
7.6
 
5.9
0.5
5.5
4.8
 
0.7
0.0
-1.0
-6.0
 
-3.0
-0.5
-3.4
-4.1
 
2.1
0.1
0.4
-4.6
 
-4.5
-0.4
-4.9
-5.6
 
8.1
0.5
6.4
1.4
 
4.4
0.4
4.0
3.3
 
N
N
N
N
 
N
N
N
N
 
N
N
N
N
 
-24.0
-2.6
-24.4
-25.1
 
-2.8
-0.1
-4.5
-9.5
 
N
N
N
N
 
-14.2
-1.8
-15.9
-20.9
 
4.1
0.2
3.7
3.0
 
237.9
12.0
236.2
231.2
 
N
N
N
N
 
N
N
N
N
 
-1.0
0.0
-1.4
-2.1
 
24.8
0.8
23.1
18.1
 
N
N
N
N
 
206.2
4.4
204.5
199.5
 
N
N
N
N
 
N
N
N
N
 
N
N
N
N
 
10.2
0.2
8.5
3.5
 
N
N
N
N
 
7.5
1.1
5.8
0.9
 
-2.2
-0.2
-2.6
-3.3
 
11.1
0.4
9.4
4.4
 
N
N
N
N
 
N
N
N
N
 
-3.2
0.0
-3.6
-4.3
 
N
N
N
N
 
-6.5
-1.0
-6.9
-7.6
 
-0.1
0.0
-1.7
-6.7
 
3.3
0.3
2.9
2.2
 
13.4
0.5
11.7
6.7
 
-8.6
-0.4
-9.0
-9.7
 
N
N
N
N
 
-8.8
-0.1
-9.2
-9.9
 
N
N
N
N
 
N
N
N
N
 
25.2
2.2
23.5
18.5
 
-0.1
0.0
-0.5
-1.2
 
N
N
N
N
 
-2.7
-0.4
-3.1
-3.8
 
10.3
0.3
8.6
3.6
 
N
N
N
N
 
11.6
0.4
9.9
4.9
 
0.9
0.1
0.5
-0.2
 
N
N
N
N
 
N
N
N
N
 
0.5
0.0
-1.1
-6.1
 
2.4
0.2
2.0
1.3
 
10.3
0.4
8.6
3.7
 
2.1
0.2
1.7
1.0
 
25.2
1.1
23.5
18.5
 
2.9
0.2
2.5
1.8
 
21.5
0.9
19.8
14.8
 
N
N
N
N
 
N
N
N
N
 
N
N
N
N
 
10.2
0.4
8.6
3.6
 
N
N
N
N
 
15.0
0.2
13.3
8.3
 
3.9
0.2
3.5
2.8
 
N
N
N
N
 
-67.2
-4.3
-67.6
-68.3
 
N
N
N
N
 
N
N
N
N
 
5.4
0.5
3.8
-1.2
 
3.2
0.3
2.8
2.1
 
11.3
0.4
9.6
4.6
 
-3.8
-0.9
-4.2
-4.9
 
N
N
N
N
 
1.6
0.1
1.2
0.5
 
N
N
N
N
 
N
N
N
N
 
6.6
0.1
5.0
0.0
 
N
N
N
N
 
2.4
0.1
0.7
-4.3
 
3.3
0.2
2.8
2.1
 
N
N
N
N
 
-5.8
-0.2
-6.3
-7.0
 
4.6
0.3
2.9
-2.1
 
1.7
0.2
1.3
0.6
 
N
N
N
N
 
8.8
0.1
8.4
7.7
 
2.0
0.1
0.3
-4.7
 
N
N
N
N
 
19.0
0.6
17.3
12.3
 
N
N
N
N
 
N
N
N
N
 
N
N
N
N
 
0.0
0.0
-1.6
-6.6
 
-17.1
-3.7
-17.5
-18.2
 
9.1
0.4
7.5
2.5
 
3.2
0.5
2.8
2.1
 
2.8
0.2
1.1
-3.8
 
N
N
N
N
 
9.6
0.3
8.0
3.0
 
-9.2
-0.6
-9.6
-10.3
 
-10.8
-0.4
-12.5
-17.4
 
N
N
N
N
 
N
N
N
N
 
-12.7
-0.5
-13.1
-13.8
 
2.8
0.1
1.1
-3.9
 
N
N
N
N
 
15.8
0.2
14.2
9.2
 
N
N
N
N
 
N
N
N
N
 
0.7
0.0
0.3
-0.4
 
10.4
0.5
8.8
3.8
 
-31.1
-5.2
-31.5
-32.2
 
3.7
0.5
2.0
-3.0
 
-0.9
-0.1
-1.3
-2.0
 
0.9
0.0
-0.7
-5.7
 
N
N
N
N
 
-15.8
-0.2
-17.4
-22.4
 
N
N
N
N
 
-12.6
-0.3
-14.2
-19.2
 
-8.9
-0.3
-9.3
-10.0
 
11.7
0.8
10.0
5.0
 
9.2
0.6
8.8
8.1
 
5.4
0.2
3.7
-1.3
 
N
N
N
N
 
-3.6
-0.2
-5.2
-10.2
 
-7.4
-0.8
-7.8
-8.5
 
6.3
0.2
4.7
-0.3
 
0.3
0.1
-0.1
-0.8
 
N
N
N
N
 
N
N
N
N
 
N
N
N
N
 
N
N
N
N
 
9.9
0.7
8.2
3.2
 
-0.1
0.0
-0.6
-1.3
 
-3.6
-0.1
-5.3
-10.3
 
0.1
0.0
-0.3
-1.0
 
42.8
4.3
41.1
36.1
 
-0.4
0.0
-0.8
-1.5
 
N
N
N
N
 
N
N
N
N
 
-32.1
-0.3
-33.8
-38.8
 
1.4
0.0
1.0
0.3
 
27.3
1.3
25.6
20.6
 
-1.4
-0.1
-1.8
-2.5
 
-34.0
-1.2
-35.7
-40.7
 
N
N
N
N
 
324.0
1.5
322.3
317.3
 
-26.7
-0.1
-27.1
-27.8
 
N
N
N
N
 
N
N
N
N
 
N
N
N
N
 
N
N
N
N
 
10.8
0.4
9.1
4.1
 
N
N
N
N
 
3.9
0.3
2.3
-2.7
 
N
N
N
N
 
8.3
0.6
6.7
1.7
 
-1.1
-0.1
-1.5
-2.2
 
2.3
0.0
0.6
-4.4
 
0.5
0.1
0.1
-0.6
 
2.6
0.1
0.9
-4.1
 
N
N
N
N
 
11.3
0.3
9.6
4.6
 
6.7
0.5
6.3
5.6
 
N
N
N
N
 
N
N
N
N
 
N
N
N
N
 
-5.6
-0.1
-6.0
-6.7
 
6.3
0.3
4.6
-0.4
 
3.0
0.2
2.6
1.9
 
-1.0
-0.1
-2.7
-7.6
 
1.0
0.1
0.6
-0.1
 
N
N
N
N
 
N
N
N
N
 
N
N
N
N
 
N
N
N
N
 
-5.7
-0.3
-7.4
-12.4
 
N
N
N
N
 
N
N
N
N
 
N
N
N
N
 
N
N
N
N
 
N
N
N
N
 
N
N
N
N
 
-18.7
-0.2
-19.1
-19.8
 
N
N
N
N
 
N
N
N
N
 
N
N
N
N
 
N
N
N
N
 
4.8
0.1
3.1
-1.9
 
0.5
0.1
0.1
-0.6
 
-7.2
-0.1
-8.9
-13.9
 
-7.0
-0.3
-7.4
-8.1
 
3.4
0.2
1.8
-3.2
 
N
N
N
N
 
N
N
N
N
 
-0.2
0.0
-0.6
-1.3
 
2.1
0.1
0.5
-4.5
 
N
N
N
N
 
-2.0
0.0
-3.7
-8.7
 
10.4
0.3
10.0
9.3
 
-19.6
-0.7
-21.3
-26.3
 
0.7
0.0
0.3
-0.4
 
N
N
N
N
 
0.3
0.0
-0.1
-0.8
 
26.7
1.4
25.0
20.0
 
1.0
0.1
0.6
-0.1
 
N
N
N
N
 
N
N
N
N
 
-29.1
-1.8
-30.8
-35.8
 
N
N
N
N
 
N
N
N
N
 
8.8
0.4
8.4
7.7
 
N
N
N
N
 
N
N
N
N
 
5.7
0.3
4.0
-1.0
 
1.2
0.2
0.8
0.1
 
N
N
N
N
 
N
N
N
N
 
11.0
0.3
9.3
4.3
 
-3.7
-0.3
-4.1
-4.8
 
3.7
0.2
2.0
-2.9
 
2.1
0.2
1.7
1.0
 
N
N
N
N
 
N
N
N
N
 
11.5
0.4
9.8
4.8
 
N
N
N
N
 
13.2
0.3
11.6
6.6
 
N
N
N
N
 
3.8
0.0
2.1
-2.9
 
22.5
1.1
22.1
21.4
 
N
N
N
N
 
31.7
1.5
31.3
30.6
 
N
N
N
N
 
N
N
N
N
 
N
N
N
N
 
N
N
N
N
 
3.9
0.2
2.2
-2.8
 
N
N
N
N
 
N
N
N
N
 
N
N
N
N
 
14.2
0.5
12.5
7.6
 
2.2
0.1
1.8
1.1
 
45.8
1.0
44.1
39.2
 
N
N
N
N
 
2.0
0.1
0.3
-4.7
 
-11.5
-0.9
-11.9
-12.6
 
5.9
0.1
4.2
-0.8
 
N
N
N
N
 
3.6
0.2
1.9
-3.1
 
N
N
N
N
 
8.6
0.9
7.0
2.0
 
3.6
0.3
3.2
2.5
 
N
N
N
N
 
N
N
N
N
 
1.1
0.1
-0.6
-5.6
 
-6.6
-0.2
-7.0
-7.7
 
N
N
N
N
 
-17.6
-1.9
-18.0
-18.7
 
1.3
0.1
-0.3
-5.3
 
15.7
1.9
15.3
14.6
 
N
N
N
N
 
N
N
N
N
 
-1.2
0.0
-2.9
-7.9
 
-4.0
-0.2
-4.4
-5.1
 
N
N
N
N
 
N
N
N
N
 
4.9
0.4
3.3
-1.7
 
-1.0
-0.2
-1.4
-2.1
 
9.6
0.1
8.0
3.0
 
N
N
N
N
 
N
N
N
N
 
N
N
N
N
 
9.1
0.5
7.4
2.4
 
-4.6
-0.2
-5.0
-5.7
 
N
N
N
N
 
N
N
N
N
 
N
N
N
N
 
-1.1
0.0
-1.5
-2.2
 
7.1
0.5
5.4
0.4
 
11.0
0.9
10.6
9.9
 
N
N
N
N
 
-8.8
-0.1
-9.2
-9.9
 
58.3
2.2
56.6
51.6
 
-7.5
-0.2
-7.9
-8.6
 
N
N
N
N
 
3.9
0.4
3.5
2.8
 
4.0
0.2
2.3
-2.7
 
4.6
0.7
4.2
3.5
 
21.6
0.7
19.9
14.9
 
7.2
0.1
6.8
6.1
 
11.6
0.9
9.9
5.0
 
-4.8
-0.2
-5.2
-5.9
 
-2.4
-0.1
-4.1
-9.1
 
-9.2
-0.8
-9.6
-10.3
 
N
N
N
N
 
107.9
0.0
107.5
106.8
 
13.9
0.4
12.2
7.3
 
1.9
0.2
1.5
0.8
 
N
N
N
N
 
-10.5
-0.9
-10.9
-11.6
 
N
N
N
N
 
22.8
0.2
22.4
21.7
 
-79.4
-3.5
-81.1
-86.1
 
N
N
N
N
 
N
N
N
N
 
N
N
N
N
 
1.0
0.0
-0.6
-5.6
 
N
N
N
N
 
18.6
1.6
17.0
12.0
 
8.1
1.3
7.7
7.0
 
N
N
N
N
 
-11.3
-0.7
-11.7
-12.4
 
N
N
N
N
 
N
N
N
N
 
6.4
0.2
4.7
-0.3
 
N
N
N
N
 
27.6
0.5
25.9
20.9
 
5.3
0.7
4.9
4.2
 
5.7
0.5
4.0
-1.0
 
N
N
N
N
 
-8.4
-0.4
-10.1
-15.1
 
8.0
0.2
7.6
6.9
 
9.8
0.3
8.1
3.1
 
-5.2
-0.2
-5.6
-6.3
 
N
N
N
N
 
N
N
N
N
 
N
N
N
N
 
0.9
0.0
0.5
-0.2
 
N
N
N
N
 
N
N
N
N
 
N
N
N
N
 
N
N
N
N
 
-19.9
-0.1
-21.6
-26.5
 
-1.8
0.0
-2.3
-3.0
 
4.9
0.3
3.3
-1.7
 
2.3
0.4
1.9
1.2
 
-2.9
-0.1
-4.6
-9.6
 
11.9
0.4
11.5
10.8
 
17.3
0.2
15.6
10.6
 
-6.9
-1.0
-7.3
-8.0
 
18.1
0.6
16.4
11.4
 
-1.1
-0.1
-1.5
-2.2
 
N
N
N
N
 
N
N
N
N
 
N
N
N
N
 
18.6
6.1
18.2
17.5
 
2.1
0.1
0.5
-4.5
 
-15.3
-0.3
-15.7
-16.4
 
N
N
N
N
 
N
N
N
N
 
5.5
0.5
3.9
-1.1
 
3.5
0.4
3.1
2.4
 
-0.8
0.0
-2.4
-7.4
 
3.3
0.6
2.9
2.2
 
N
N
N
N
 
N
N
N
N
 
3.9
0.1
2.2
-2.8
 
-5.7
-0.3
-6.1
-6.8
 
N
N
N
N
 
N
N
N
N
 
N
N
N
N
 
-1.0
-0.1
-1.5
-2.2
 
9.9
0.4
8.3
3.3
 
2.0
0.3
1.6
0.9
 
8.3
1.9
6.6
1.6
 
5.8
0.4
5.4
4.7
 
2.2
0.1
0.6
-4.4
 
N
N
N
N
 
19.1
0.5
17.4
12.4
 
N
N
N
N
 
13.2
0.7
11.5
6.5
 
N
N
N
N
 
N
N
N
N
 
5.8
0.0
5.4
4.7
 
N
N
N
N
 
N
N
N
N
 
59.0
1.0
57.3
52.3
 
5.7
0.5
5.3
4.6
 
11.7
0.5
10.0
5.1
 
-4.7
-0.2
-5.1
-5.8
 
5.3
0.2
3.6
-1.4
 
-2.3
-0.3
-2.7
-3.4
 
4.5
0.1
2.8
-2.2
 
1.4
0.1
1.0
0.3
 
N
N
N
N
 
4.5
0.1
4.1
3.4
 
5.7
0.2
4.0
-0.9
 
N
N
N
N
 
N
N
N
N
 
-1.8
-0.1
-2.3
-3.0
 
4.1
0.1
2.4
-2.6
 
0.0
0.0
-0.4
-1.1
 
N
N
N
N
 
0.2
0.0
-0.2
-0.9
 
44.2
1.1
42.6
37.6
 
N
N
N
N
 
0.1
0.0
-1.5
-6.5
 
0.6
0.1
0.2
-0.5
 
9.8
0.2
8.1
3.1
 
N
N
N
N
 
N
N
N
N
 
2.6
0.3
2.2
1.5
 
15.4
1.8
13.7
8.7
 
5.3
0.4
4.9
4.2
 
14.5
0.8
12.8
7.8
 
0.2
0.0
-0.2
-0.9
 
-6.2
-0.1
-7.9
-12.9
 
-26.7
-0.1
-27.1
-27.8
 
12.8
0.6
11.2
6.2
 
1.6
0.1
1.2
0.5
 
7.2
0.3
5.5
0.6
 
3.3
0.3
2.8
2.1
 
N
N
N
N
 
N
N
N
N
 
-3.5
-0.1
-5.2
-10.1
 
N
N
N
N
 
-26.4
-0.2
-28.1
-33.1
 
19.1
1.3
18.7
18.0
 
7.1
0.1
5.4
0.5
 
-6.4
-0.4
-6.8
-7.5
 
 
 
 
 
 
 
 
 
 
 
 
6.7
0.7
5.0
0.0
 
1.1
0.1
0.7
0.0
 
6.6
0.7
5.0
0.0
 
1.1
0.1
0.7
0.0
 
7.9
0.3
6.2
1.2
 
0.4
0.0
0.0
-0.7
 
 
 
 
 
 
 
 
 
 
 
 
1.7
0.2
0.0
 
0.4
0.0
0.0
 
1.6
0.2
-0.1
 
0.5
0.1
0.1
 
4.3
0.2
2.6
 
-0.5
-0.1
-0.9
Source: Calculations by the Texas Regional Economic Analysis Project (TX-REAP)
with data provided by the U.S. Department of Commerce, Bureau of Economic Analysis
November 2023
REAP_PI_CA1600N_611200_611600_GA
 
   
Select an alternate year:
   
 
Professional, Scientific, and Technical Services
vs.
Health Care and Social Assistance

Real* Earnings Growth by Region:
Texas, 2022
 
Professional, Scientific, and Technical Services
 
Health Care and Social Assistance
Metropolitan Statistical Areas
 
 
 
N
N
N
N
 
N
N
N
N
 
N
N
N
N
 
1.7
0.2
1.2
0.5
 
N
N
N
N
 
5.9
0.4
5.5
4.8
 
8.5
0.6
6.9
1.9
 
-4.6
-0.5
-5.0
-5.7
 
13.2
0.8
11.5
6.5
 
6.0
1.2
5.5
4.8
 
10.6
0.9
8.9
3.9
 
N
N
N
N
 
3.9
0.3
2.2
-2.8
 
-0.8
-0.1
-1.2
-1.9
 
8.0
1.0
6.3
1.3
 
1.0
0.1
0.5
-0.2
 
10.3
0.4
8.6
3.6
 
2.1
0.2
1.7
1.0
 
4.0
0.5
2.3
-2.7
 
N
N
N
N
 
-1.4
-0.1
-3.0
-8.0
 
N
N
N
N
 
4.1
0.1
2.4
-2.6
 
0.0
0.0
-0.4
-1.1
 
N
N
N
N
 
N
N
N
N
 
N
N
N
N
 
N
N
N
N
 
6.3
0.2
4.7
-0.3
 
0.3
0.1
-0.1
-0.8
 
14.2
0.4
12.5
7.5
 
2.6
0.1
2.2
1.5
 
11.6
0.4
9.9
4.9
 
0.9
0.1
0.5
-0.2
 
10.5
0.4
8.8
3.8
 
2.0
0.2
1.6
0.9
 
N
N
N
N
 
0.0
0.0
-0.5
-1.2
 
0.0
0.0
-1.6
-6.6
 
-17.1
-3.7
-17.5
-18.2
 
N
N
N
N
 
N
N
N
N
 
4.9
0.3
3.3
-1.7
 
2.3
0.4
1.9
1.2
 
5.1
0.2
3.4
-1.6
 
N
N
N
N
 
4.1
0.2
2.4
-2.6
 
N
N
N
N
 
N
N
N
N
 
N
N
N
N
 
 
 
 
 
 
 
 
 
 
 
 
6.7
0.7
5.0
0.0
 
1.1
0.1
0.7
0.0
 
6.6
0.7
5.0
0.0
 
1.1
0.1
0.7
0.0
 
7.9
0.3
6.2
1.2
 
0.4
0.0
0.0
-0.7
 
 
 
 
 
 
 
 
 
 
 
 
1.7
0.2
0.0
 
0.4
0.0
0.0
 
1.6
0.2
-0.1
 
0.5
0.1
0.1
 
4.3
0.2
2.6
 
-0.5
-0.1
-0.9
Source: Calculations by the Texas Regional Economic Analysis Project (TX-REAP)
with data provided by the U.S. Department of Commerce, Bureau of Economic Analysis
November 2023
REAP_PI_CA1600N_611200_611600_GB
 
   
Additional Notes on Interpreting
Earnings for Texas
Earnings
The earnings by major industry estimates compiled by the Bureau of Economic Analysis (BEA) are by place of work, and are the sum of wage and salary disbursements (payrolls), supplements to wages and salaries, and proprietors' income. The earnings by industry data are expressed in thousands of current dollars ($1,000s). Unlike wage and salary disbursements, it should be noted that proprietors' income may be reported as negative for those years in which the net income of sole proprietors and partnerships are in the red for a particular sector. This is not an especially unusual occurrence in some relatively small economies where farm proprietorships are dominant. However, this may yield some somewhat unconventional results, such as an industry recording a negative share of total earnings.
Other/Suppressed Industries
For some areas, an industry category labeled "Other/Suppressed Industries" may appear in the table. It is not uncommon, especially for smaller areas, to encounter suppressed data for selected industries. Data are suppressed to avoid disclosure of confidential information regarding individual firms. Even though the concern for confidentiality may relate to only one industry, data for at least two must be suppressed as summing over the reported data and subtracting from the total yields data for the suppressed category. When suppressed data is encountered, it is reported in the "Other/Suppressed Industries" category.
Location Quotient
Location quotients help gauge the extent to which various industries are more or less concentrated locally when compared with the nation at large. If an industry's share of total earnings is the same as the national share, then its location quotient is equal to one. If an industry is concentrated in a region, its local employment share will be larger than the share nationally, and its location quotient will correspondingly be greater than one. Conversely, the location quotient for an industry not concentrated in the region will fall between zero and one.
Component Contribution
The component contribution isolates and records each industry's individual contribution to the total growth of earnings in Texas over 2022, and 2002-2022, respectively. When summed over all industries the component contribution will match Texas' TOTAL earnings growth rate.
Copyright © 2023. Pacific Northwest Regional Economic Analysis Project (PNREAP). All Rights Reserved.

Please stay tuned...
while your request is processing:

Please wait while your request is being processed...
To offer the most comprehensive set of interactive options in support of your research, TX-REAP calculates and crunches most of the data and generates the narrative and graphic analysis on demand in response to your request.
Your request will soon be available.
Just a few more seconds....Your request has been generated and is now loading the results.