Finance and Insurance vs. Administrative and Waste Services
Average Earnings Per Job Structure and Growth by County
Missouri, 2001-2022
Average Earnings Per Job by County
Percent of Overall County Average, 2022
Select a Year/Indicator:Percent of Overall
County Average
Location
Quotients
Percent of State
Counterpart
Percent of National
Counterpart
Average Earnings Per Job by County
View Distribution Totals as:Actual Percent
   
 
Finance and Insurance vs. Administrative and Waste Services
Missouri Average Earnings Per Job Distribution by County:
Percent of Overall County Average, 2022
More
than
130%
130%
to
120%
120%
to
110%
110%
to
100%
100%
to
90%
90%
to
80%
80%
to
70%
70%
or
Below
Total
Finance and Insurance
7
5
4
1
17
12
20
49
115
Administrative and Waste Services
0
0
0
1
4
4
14
92
115
 
   
Select an alternate year:
   
 
Finance and Insurance vs. Administrative and Waste Services
Average Earnings Per Job Structure by County:
Missouri, 2022
 
Finance and Insurance
 
Administrative and Waste Services
 
 
 
34,008
80.9
45.5
40.9
 
S
S
S
S
 
13,348
37.7
17.8
16.1
 
26,434
74.6
52.8
49.9
 
32,688
60.6
43.7
39.3
 
S
S
S
S
 
36,866
73.1
49.3
44.4
 
37,137
73.7
74.2
70.1
 
41,468
78.7
55.5
49.9
 
30,767
58.4
61.5
58.1
 
46,028
98.7
61.5
55.4
 
40,964
87.9
81.8
77.3
 
S
S
S
S
 
S
S
S
S
 
51,828
132.0
69.3
62.4
 
21,551
54.9
43.0
40.7
 
9,987
31.8
13.4
12.0
 
18,624
59.3
37.2
35.2
 
76,865
135.2
102.8
92.5
 
39,541
69.6
79.0
74.6
 
47,429
76.7
63.4
57.1
 
41,014
66.3
81.9
77.4
 
44,131
89.3
59.0
53.1
 
30,531
61.8
61.0
57.6
 
24,108
66.0
32.2
29.0
 
22,600
61.9
45.1
42.7
 
27,692
53.3
37.0
33.3
 
S
S
S
S
 
35,394
79.7
47.3
42.6
 
32,224
72.6
64.4
60.8
 
36,538
68.5
48.9
44.0
 
40,733
76.4
81.4
76.9
 
28,724
49.9
38.4
34.6
 
21,591
37.5
43.1
40.8
 
35,433
95.3
47.4
42.6
 
S
S
S
S
 
29,491
63.6
39.4
35.5
 
50,552
109.0
101.0
95.4
 
28,571
80.0
38.2
34.4
 
S
S
S
S
 
32,917
85.2
44.0
39.6
 
S
S
S
S
 
24,134
63.1
32.3
29.0
 
33,391
87.3
66.7
63.0
 
S
S
S
S
 
S
S
S
S
 
57,990
92.7
77.5
69.8
 
43,548
69.6
87.0
82.2
 
40,131
99.7
53.7
48.3
 
S
S
S
S
 
55,117
93.0
73.7
66.3
 
41,165
69.5
82.2
77.7
 
55,058
127.8
73.6
66.3
 
S
S
S
S
 
32,767
73.2
43.8
39.4
 
S
S
S
S
 
17,052
41.3
22.8
20.5
 
S
S
S
S
 
40,760
118.1
54.5
49.0
 
S
S
S
S
 
18,459
63.2
24.7
22.2
 
23,556
80.7
47.1
44.5
 
45,959
116.0
61.5
55.3
 
21,679
54.7
43.3
40.9
 
50,445
126.9
67.5
60.7
 
S
S
S
S
 
18,498
62.2
24.7
22.3
 
S
S
S
S
 
28,061
70.6
37.5
33.8
 
S
S
S
S
 
36,764
74.6
49.2
44.2
 
34,512
70.1
68.9
65.1
 
28,513
73.8
38.1
34.3
 
29,341
76.0
58.6
55.4
 
16,085
41.1
21.5
19.4
 
17,705
45.3
35.4
33.4
 
57,345
96.6
76.7
69.0
 
44,552
75.1
89.0
84.1
 
36,032
81.9
48.2
43.4
 
19,497
44.3
38.9
36.8
 
50,630
126.3
67.7
60.9
 
S
S
S
S
 
45,613
92.0
61.0
54.9
 
S
S
S
S
 
22,956
68.3
30.7
27.6
 
S
S
S
S
 
29,314
50.0
39.2
35.3
 
S
S
S
S
 
50,620
134.5
67.7
60.9
 
S
S
S
S
 
45,153
98.1
60.4
54.3
 
27,772
60.3
55.5
52.4
 
27,521
59.2
36.8
33.1
 
25,927
55.8
51.8
48.9
 
98,593
134.5
131.8
118.6
 
43,668
59.6
87.2
82.4
 
48,475
93.0
64.8
58.3
 
38,270
73.4
76.4
72.2
 
32,020
68.9
42.8
38.5
 
35,131
75.6
70.2
66.3
 
54,542
100.9
72.9
65.6
 
S
S
S
S
 
28,835
82.9
38.6
34.7
 
S
S
S
S
 
43,259
83.5
57.8
52.1
 
25,581
49.4
51.1
48.3
 
38,926
86.6
52.1
46.8
 
S
S
S
S
 
29,982
65.9
40.1
36.1
 
21,694
47.7
43.3
41.0
 
37,509
92.2
50.2
45.1
 
S
S
S
S
 
32,085
72.1
42.9
38.6
 
30,023
67.5
60.0
56.7
 
39,511
91.0
52.8
47.5
 
S
S
S
S
 
32,395
67.0
43.3
39.0
 
40,254
83.3
80.4
76.0
 
37,889
74.8
50.7
45.6
 
40,275
79.5
80.4
76.0
 
36,386
78.1
48.7
43.8
 
37,162
79.8
74.2
70.1
 
27,936
71.9
37.4
33.6
 
12,102
31.1
24.2
22.8
 
40,149
154.1
53.7
48.3
 
S
S
S
S
 
31,816
61.7
42.5
38.3
 
30,396
59.0
60.7
57.4
 
18,043
49.8
24.1
21.7
 
S
S
S
S
 
37,635
91.4
50.3
45.3
 
23,272
56.5
46.5
43.9
 
31,839
60.1
42.6
38.3
 
S
S
S
S
 
S
S
S
S
 
37,593
77.3
75.1
71.0
 
S
S
S
S
 
19,632
56.7
39.2
37.1
 
21,418
52.5
28.6
25.8
 
18,269
44.8
36.5
34.5
 
31,642
66.0
42.3
38.1
 
31,718
66.2
63.4
59.9
 
42,431
68.7
56.7
51.1
 
S
S
S
S
 
36,246
66.6
48.5
43.6
 
24,013
44.1
48.0
45.3
 
31,732
70.5
42.4
38.2
 
S
S
S
S
 
39,474
112.9
52.8
47.5
 
S
S
S
S
 
25,917
60.6
34.7
31.2
 
S
S
S
S
 
49,648
166.0
66.4
59.7
 
S
S
S
S
 
43,124
86.2
57.7
51.9
 
23,995
47.9
47.9
45.3
 
46,781
99.2
62.6
56.3
 
S
S
S
S
 
32,715
61.8
43.7
39.4
 
36,698
69.4
73.3
69.3
 
41,362
82.5
55.3
49.8
 
33,885
67.6
67.7
64.0
 
34,811
80.0
46.5
41.9
 
S
S
S
S
 
46,430
74.0
62.1
55.9
 
56,957
90.8
113.8
107.5
 
36,319
82.4
48.6
43.7
 
S
S
S
S
 
35,976
55.0
48.1
43.3
 
S
S
S
S
 
40,523
117.1
54.2
48.8
 
S
S
S
S
 
12,043
23.9
16.1
14.5
 
31,946
63.4
63.8
60.3
 
58,019
93.8
77.6
69.8
 
S
S
S
S
 
30,655
70.7
41.0
36.9
 
S
S
S
S
 
S
S
S
S
 
S
S
S
S
 
20,621
62.0
27.6
24.8
 
17,802
53.5
35.6
33.6
 
52,101
90.8
69.7
62.7
 
44,257
77.1
88.4
83.5
 
25,348
76.6
33.9
30.5
 
S
S
S
S
 
28,981
59.7
38.8
34.9
 
S
S
S
S
 
43,401
99.7
58.0
52.2
 
25,704
59.0
51.3
48.5
 
96,375
124.1
128.9
116.0
 
74,914
96.5
149.6
141.4
 
42,166
79.7
56.4
50.7
 
33,424
63.2
66.8
63.1
 
19,000
56.4
25.4
22.9
 
S
S
S
S
 
23,010
48.6
30.8
27.7
 
S
S
S
S
 
29,818
56.3
39.9
35.9
 
37,461
70.8
74.8
70.7
 
20,051
66.7
26.8
24.1
 
S
S
S
S
 
S
S
S
S
 
13,901
32.7
27.8
26.2
 
27,423
60.0
36.7
33.0
 
30,723
67.2
61.4
58.0
 
17,938
50.7
24.0
21.6
 
32,382
91.5
64.7
61.1
 
S
S
S
S
 
S
S
S
S
 
37,310
78.7
49.9
44.9
 
46,371
97.8
92.6
87.5
 
26,655
64.0
35.6
32.1
 
16,513
39.6
33.0
31.2
 
41,058
87.8
54.9
49.4
 
S
S
S
S
 
29,525
69.3
39.5
35.5
 
28,548
67.0
57.0
53.9
 
49,094
125.7
65.6
59.1
 
S
S
S
S
 
S
S
S
S
 
21,828
63.1
43.6
41.2
 
31,063
76.5
41.5
37.4
 
24,020
59.1
48.0
45.3
 
16,281
66.5
21.8
19.6
 
S
S
S
S
 
34,633
93.5
46.3
41.7
 
25,361
68.5
50.7
47.9
 
109,226
131.3
146.1
131.4
 
44,500
53.5
88.9
84.0
 
 
 
 
 
 
 
 
 
 
 
 
74,784
119.6
100.0
90.0
 
50,065
80.1
100.0
94.5
 
80,779
121.5
108.0
97.2
 
53,219
80.1
106.3
100.5
 
36,716
78.3
49.1
44.2
 
30,690
65.5
61.3
57.9
 
 
 
 
 
 
 
 
 
 
 
 
83,102
116.1
100.0
 
52,976
74.0
100.0
 
86,491
117.1
104.1
 
54,359
73.6
102.6
 
39,636
73.4
47.7
 
36,950
68.5
69.7
Source: Calculations by the Missouri Regional Economic Analysis Project (MO-REAP)
with data provided by the U.S. Department of Commerce, Bureau of Economic Analysis
November 2023
REAP_PI_CA1700N_511000_511400_SA
 
   
Select an alternate year:
   
 
Finance and Insurance vs. Administrative and Waste Services
Average Earnings Per Job Structure by Region:
Missouri, 2022
 
Finance and Insurance
 
Administrative and Waste Services
Metropolitan Statistical Areas
 
 
 
S
S
S
S
 
39,137
75.6
78.2
73.9
 
75,732
136.5
101.3
91.1
 
38,200
68.8
76.3
72.1
 
S
S
S
S
 
S
S
S
S
 
44,792
84.9
59.9
53.9
 
35,716
67.7
71.3
67.4
 
S
S
S
S
 
51,975
72.7
103.8
98.1
 
42,763
74.8
57.2
51.5
 
38,477
67.3
76.9
72.6
 
81,496
116.7
109.0
98.1
 
S
S
S
S
 
50,271
92.0
67.2
60.5
 
40,927
74.9
81.7
77.3
 
 
 
 
 
 
 
 
 
 
 
 
74,784
119.6
100.0
90.0
 
50,065
80.1
100.0
94.5
 
80,779
121.5
108.0
97.2
 
53,219
80.1
106.3
100.5
 
36,716
78.3
49.1
44.2
 
30,690
65.5
61.3
57.9
 
 
 
 
 
 
 
 
 
 
 
 
83,102
116.1
100.0
 
52,976
74.0
100.0
 
86,491
117.1
104.1
 
54,359
73.6
102.6
 
39,636
73.4
47.7
 
36,950
68.5
69.7
Source: Calculations by the Missouri Regional Economic Analysis Project (MO-REAP)
with data provided by the U.S. Department of Commerce, Bureau of Economic Analysis
November 2023
REAP_PI_CA1700N_511000_511400_SB
 
   
Real* Average Earnings Per Job Growth by County
Growth Rates, 2022
Select a Year/Indicator:Growth RatesComponent Contributions
Real* Average Earnings Per Job Growth by County
View Distribution Totals as:Actual Percent
   
 
Finance and Insurance vs. Administrative and Waste Services
Missouri Real* Average Earnings Per Job Growth Distribution by County:
Growth Rates, 2022
More
than
8%
8%
to
6%
6%
to
4%
4%
to
2%
2%
to
0%
0%
to
-2%
-2%
or
Below
Suppressed
or
Undefined
Total
Finance and Insurance
2
0
0
2
1
3
93
14
115
Administrative and Waste Services
2
1
2
1
8
12
38
51
115
 
   
Select an alternate year:
   
 
Finance and Insurance vs. Administrative and Waste Services
Real* Average Earnings Per Job Growth by County:
Missouri, 2022
 
Finance and Insurance
 
Administrative and Waste Services
 
 
 
-9.2
1.1
1.8
 
N
N
N
 
-10.6
-0.3
0.4
 
-3.5
-4.2
-3.7
 
-9.0
1.3
2.0
 
N
N
N
 
-6.3
4.1
4.7
 
-1.8
-2.4
-2.0
 
-7.3
3.1
3.7
 
-5.3
-5.9
-5.5
 
-6.9
3.5
4.1
 
-0.1
-0.8
-0.4
 
N
N
N
 
N
N
N
 
-8.0
2.4
3.0
 
-3.9
-4.5
-4.1
 
-15.6
-5.2
-4.6
 
-4.5
-5.1
-4.7
 
-22.9
-12.5
-11.9
 
-1.6
-2.3
-1.8
 
-19.4
-9.0
-8.4
 
0.0
-0.7
-0.3
 
-5.3
5.0
5.6
 
1.4
0.7
1.2
 
N
N
N
 
-5.5
-6.1
-5.7
 
1.7
12.1
12.7
 
N
N
N
 
-9.1
1.2
1.9
 
-5.3
-6.0
-5.6
 
-10.6
-0.2
0.4
 
1.9
1.2
1.6
 
-8.0
2.3
3.0
 
7.7
7.0
7.4
 
-6.8
3.5
4.2
 
N
N
N
 
-8.0
2.4
3.0
 
-2.4
-3.1
-2.7
 
-8.2
2.1
2.7
 
N
N
N
 
-11.0
-0.6
0.0
 
N
N
N
 
-9.3
1.0
1.7
 
5.4
4.8
5.2
 
N
N
N
 
N
N
N
 
-2.5
7.9
8.5
 
1.7
1.0
1.4
 
-8.8
1.5
2.2
 
N
N
N
 
-6.0
4.3
5.0
 
-3.8
-4.5
-4.1
 
-0.9
9.5
10.1
 
N
N
N
 
-6.7
3.6
4.3
 
N
N
N
 
-14.1
-3.7
-3.1
 
N
N
N
 
-3.3
7.1
7.7
 
N
N
N
 
-25.7
-15.4
-14.8
 
-2.7
-3.4
-3.0
 
-10.6
-0.3
0.4
 
-4.0
-4.6
-4.2
 
-3.4
7.0
7.6
 
N
N
N
 
-6.5
3.8
4.5
 
N
N
N
 
-5.4
4.9
5.6
 
N
N
N
 
-7.5
2.8
3.5
 
-2.7
-3.3
-2.9
 
-12.7
-2.3
-1.7
 
1.7
1.0
1.5
 
-16.5
-6.2
-5.5
 
1.0
0.4
0.8
 
-6.8
3.6
4.2
 
-2.6
-3.3
-2.8
 
-12.3
-2.0
-1.3
 
-6.4
-7.1
-6.7
 
-6.7
3.6
4.3
 
N
N
N
 
-5.2
5.1
5.8
 
N
N
N
 
2.8
13.1
13.7
 
N
N
N
 
-6.8
3.6
4.2
 
N
N
N
 
8.4
18.8
19.4
 
N
N
N
 
-4.4
5.9
6.6
 
-1.0
-1.6
-1.2
 
-5.8
4.5
5.2
 
4.3
3.6
4.1
 
-7.3
3.0
3.6
 
-0.4
-1.1
-0.7
 
-7.1
3.2
3.9
 
-0.9
-1.6
-1.2
 
-18.6
-8.3
-7.6
 
0.0
-0.6
-0.2
 
-11.6
-1.2
-0.6
 
N
N
N
 
-9.0
1.4
2.0
 
N
N
N
 
-7.6
2.8
3.4
 
-1.9
-2.5
-2.1
 
-9.5
0.9
1.5
 
N
N
N
 
-8.3
2.0
2.7
 
-6.0
-6.7
-6.3
 
-5.2
5.1
5.8
 
N
N
N
 
-10.5
-0.1
0.5
 
-2.0
-2.6
-2.2
 
-11.5
-1.2
-0.5
 
N
N
N
 
-9.6
0.8
1.4
 
-8.0
-8.7
-8.3
 
-0.8
9.6
10.2
 
0.2
-0.5
-0.1
 
-6.7
3.6
4.3
 
-10.0
-10.7
-10.3
 
-8.1
2.3
2.9
 
-4.0
-4.7
-4.2
 
N
N
N
 
N
N
N
 
-8.2
2.2
2.8
 
-19.1
-19.8
-19.4
 
-18.6
-8.2
-7.6
 
N
N
N
 
-10.0
0.3
1.0
 
-7.4
-8.1
-7.7
 
-6.7
3.6
4.2
 
N
N
N
 
N
N
N
 
-4.8
-5.5
-5.1
 
N
N
N
 
-2.7
-3.4
-2.9
 
N
N
N
 
0.8
0.1
0.5
 
-7.0
3.4
4.0
 
-8.7
-9.4
-9.0
 
-6.3
4.0
4.7
 
N
N
N
 
-5.9
4.5
5.1
 
-5.9
-6.6
-6.2
 
-3.5
6.8
7.5
 
N
N
N
 
2.7
13.0
13.6
 
N
N
N
 
N
N
N
 
N
N
N
 
-15.2
-4.8
-4.2
 
N
N
N
 
-9.7
0.7
1.3
 
-7.8
-8.5
-8.1
 
-1.6
8.8
9.4
 
N
N
N
 
-10.2
0.1
0.8
 
-2.0
-2.7
-2.3
 
-9.2
1.2
1.8
 
11.1
10.4
10.9
 
-7.2
3.1
3.8
 
N
N
N
 
-12.5
-2.2
-1.6
 
-2.3
-3.0
-2.6
 
-10.4
0.0
0.6
 
N
N
N
 
-6.3
4.0
4.7
 
N
N
N
 
-4.7
5.6
6.3
 
N
N
N
 
-13.9
-3.6
-2.9
 
-1.1
-1.8
-1.4
 
-9.8
0.6
1.2
 
N
N
N
 
-4.4
5.9
6.6
 
N
N
N
 
N
N
N
 
N
N
N
 
-7.4
2.9
3.6
 
-7.9
-8.6
-8.2
 
-8.4
2.0
2.6
 
-3.6
-4.2
-3.8
 
-9.6
0.8
1.4
 
N
N
N
 
-4.7
5.6
6.2
 
N
N
N
 
-10.3
0.0
0.7
 
-10.7
-11.3
-10.9
 
-11.7
-1.4
-0.7
 
2.0
1.4
1.8
 
-8.1
2.3
2.9
 
9.5
8.9
9.3
 
-13.5
-3.2
-2.5
 
N
N
N
 
N
N
N
 
N
N
N
 
-12.3
-2.0
-1.3
 
-4.2
-4.9
-4.5
 
-9.6
0.7
1.3
 
N
N
N
 
N
N
N
 
-10.6
-11.2
-10.8
 
-10.2
0.1
0.8
 
-7.4
-8.0
-7.6
 
-12.5
-2.2
-1.5
 
-2.6
-3.3
-2.9
 
N
N
N
 
N
N
N
 
-7.7
2.7
3.3
 
-8.3
-9.0
-8.6
 
N
N
N
 
-13.4
-14.0
-13.6
 
-14.6
-4.2
-3.6
 
N
N
N
 
-3.7
6.7
7.3
 
-5.0
-5.6
-5.2
 
14.2
24.6
25.2
 
N
N
N
 
N
N
N
 
-1.0
-1.6
-1.2
 
-2.2
8.2
8.8
 
-2.8
-3.5
-3.0
 
-8.9
1.5
2.1
 
N
N
N
 
-3.3
7.0
7.6
 
-1.8
-2.4
-2.0
 
-13.4
-3.1
-2.4
 
-3.6
-4.3
-3.9
 
 
 
 
 
 
 
 
 
 
-11.0
-0.6
0.0
 
0.2
-0.4
0.0
 
-11.1
-0.8
-0.1
 
0.8
0.1
0.5
 
-8.2
2.2
2.8
 
-5.3
-6.0
-5.6
 
 
 
 
 
 
 
 
 
 
-10.3
0.0
 
0.7
0.0
 
-10.4
0.0
 
0.6
-0.1
 
-8.7
1.6
 
1.3
0.6
Source: Calculations by the Missouri Regional Economic Analysis Project (MO-REAP)
with data provided by the U.S. Department of Commerce, Bureau of Economic Analysis
November 2023
REAP_PI_CA1700N_511000_511400_GA
 
   
Select an alternate year:
   
 
Finance and Insurance vs. Administrative and Waste Services
Real* Average Earnings Per Job Growth by Region:
Missouri, 2022
 
Finance and Insurance
 
Administrative and Waste Services
Metropolitan Statistical Areas
 
 
 
N
N
N
 
1.5
0.8
1.2
 
-22.5
-12.1
-11.5
 
-1.4
-2.1
-1.7
 
N
N
N
 
N
N
N
 
-6.9
3.4
4.0
 
-1.8
-2.5
-2.1
 
N
N
N
 
-1.9
-2.5
-2.1
 
-19.5
-9.1
-8.5
 
-0.9
-1.6
-1.2
 
-12.0
-1.7
-1.0
 
N
N
N
 
-7.3
3.1
3.7
 
N
N
N
 
 
 
 
 
 
 
 
 
 
-11.0
-0.6
0.0
 
0.2
-0.4
0.0
 
-11.1
-0.8
-0.1
 
0.8
0.1
0.5
 
-8.2
2.2
2.8
 
-5.3
-6.0
-5.6
 
 
 
 
 
 
 
 
 
 
-10.3
0.0
 
0.7
0.0
 
-10.4
0.0
 
0.6
-0.1
 
-8.7
1.6
 
1.3
0.6
Source: Calculations by the Missouri Regional Economic Analysis Project (MO-REAP)
with data provided by the U.S. Department of Commerce, Bureau of Economic Analysis
November 2023
REAP_PI_CA1700N_511000_511400_GB
 
   
Additional Notes on Interpreting
Average Earnings Per Job for Missouri
Average Earnings Per Job
Average Earnings Per Job are computed by dividing BEA industry earnings estimate by BEA total full- and part-time jobs estimates. No convenient or adequate means exist at the county or regional level for converting the job estimates to a full-time equivalent measure. So, interpret the average earnings per job estimates with caution in consideration of the following issues:
  • Average earnings per job within industries involving more part-time work is lower than industries involving more full-time work, although there could be little difference in the underlying wage of full-time workers. Such differences could also prevail between counties and regions. An increase in the proportion of part-time jobs over time may erode average earnings per job estimates, although full-time earnings per worker may have remained unchanged.
  • As with per capita income, average earnings per job may be subject to extreme short-run variation, especially in smaller counties. Unusual conditions such as droughts, hurricanes and bumper crops give rise to wide variations in average earnings per job. Also, major construction projects relating to building dams, nuclear power plants, and private plant construction projects have caused extreme fluctuations in many smaller counties. Such changes typify both small and large agriculture-dependent counties owing to the extreme annual variations in farm incomes.
  • Since average earnings per job are just a simple average, it does not account for variations in the distribution of earnings among high- vs. low-wage jobs.
  • The earnings by major industry estimates compiled by the Bureau of Economic Analysis (BEA) are by place-of-work are the sum of wage and salary dibursements (payrolls), supplements to wages and salaries, and proprietors' income. The earnings by industry data are in expressed in thousands of current dollars ($1,000s). Unlike wage and salary disbursement, 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 or a location quotient that is negative.
Copyright © 2023. Pacific Northwest Regional Economic Analysis Project (PNREAP). All Rights Reserved.

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