Local Government vs. Administrative and Waste Services
Earnings Structure and Growth by County
Iowa, 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
   
 
Local Government vs. Administrative and Waste Services
Iowa Earnings Distribution by County:
Percent of Total Earnings, 2022
More
than
20.0%
20.0%
to
17.5%
17.5%
to
15.0%
15.0%
to
12.5%
12.5%
to
10.0%
10.0%
to
7.5%
7.5%
or
Below
Suppressed
or
Undefined
Total
Local Government
3
4
6
15
21
28
16
6
99
Administrative and Waste Services
0
0
0
0
0
1
76
22
99
 
   
Select an alternate year:
   
 
Local Government vs. Administrative and Waste Services
Earnings Structure by County:
Iowa, 2022
 
Local Government
 
Administrative and Waste Services
 
 
 
23,146
9.0
1.1
0.2
 
7,994
3.1
0.7
0.2
 
S
S
U
S
 
343
0.2
0.1
0.0
 
58,054
14.1
1.8
0.5
 
S
S
U
S
 
35,290
11.4
1.4
0.3
 
5,963
1.9
0.4
0.1
 
20,275
8.7
1.1
0.2
 
S
S
U
S
 
88,396
10.5
1.3
0.8
 
7,250
0.9
0.2
0.2
 
443,598
7.8
1.0
3.9
 
163,404
2.9
0.6
4.0
 
99,300
14.2
1.8
0.9
 
16,407
2.3
0.5
0.4
 
119,694
15.1
1.9
1.0
 
7,681
1.0
0.2
0.2
 
76,884
12.6
1.6
0.7
 
10,321
1.7
0.4
0.3
 
108,436
12.0
1.5
1.0
 
14,736
1.6
0.4
0.4
 
39,218
8.9
1.1
0.3
 
13,741
3.1
0.7
0.3
 
27,601
8.1
1.0
0.2
 
S
S
U
S
 
65,983
6.9
0.9
0.6
 
10,773
1.1
0.2
0.3
 
83,102
17.9
2.3
0.7
 
11,277
2.4
0.5
0.3
 
53,399
11.0
1.4
0.5
 
S
S
U
S
 
150,300
6.9
0.9
1.3
 
58,118
2.7
0.6
1.4
 
34,162
4.8
0.6
0.3
 
S
S
U
S
 
32,083
4.2
0.5
0.3
 
S
S
U
S
 
45,570
14.5
1.8
0.4
 
4,072
1.3
0.3
0.1
 
98,069
13.1
1.7
0.9
 
11,860
1.6
0.3
0.3
 
74,258
11.5
1.5
0.7
 
S
S
U
S
 
133,276
9.3
1.2
1.2
 
40,886
2.8
0.6
1.0
 
79,732
13.0
1.7
0.7
 
S
S
U
S
 
287,001
5.7
0.7
2.5
 
159,235
3.2
0.7
3.9
 
39,170
13.2
1.7
0.3
 
2,336
0.8
0.2
0.1
 
27,971
17.1
2.2
0.2
 
S
S
U
S
 
80,284
12.0
1.5
0.7
 
9,199
1.4
0.3
0.2
 
138,678
8.5
1.1
1.2
 
63,122
3.9
0.8
1.5
 
72,085
9.2
1.2
0.6
 
73,243
9.3
2.0
1.8
 
269,323
5.9
0.7
2.4
 
111,267
2.4
0.5
2.7
 
35,639
12.5
1.6
0.3
 
S
S
U
S
 
57,364
10.2
1.3
0.5
 
8,354
1.5
0.3
0.2
 
61,181
11.5
1.5
0.5
 
6,508
1.2
0.3
0.2
 
40,997
9.9
1.3
0.4
 
5,758
1.4
0.3
0.1
 
20,127
8.2
1.0
0.2
 
10,013
4.1
0.9
0.2
 
43,826
13.1
1.7
0.4
 
9,234
2.8
0.6
0.2
 
38,380
8.8
1.1
0.3
 
7,567
1.7
0.4
0.2
 
49,628
14.8
1.9
0.4
 
5,415
1.6
0.4
0.1
 
71,454
12.3
1.6
0.6
 
8,178
1.4
0.3
0.2
 
35,878
6.2
0.8
0.3
 
S
S
U
S
 
75,840
9.9
1.3
0.7
 
S
S
U
S
 
43,601
10.8
1.4
0.4
 
4,510
1.1
0.2
0.1
 
72,829
10.7
1.4
0.6
 
24,065
3.6
0.8
0.6
 
S
S
U
S
 
S
S
U
S
 
43,652
12.4
1.6
0.4
 
S
S
U
S
 
18,194
4.4
0.6
0.2
 
5,697
1.4
0.3
0.1
 
64,227
9.0
1.1
0.6
 
12,271
1.7
0.4
0.3
 
55,931
11.9
1.5
0.5
 
5,195
1.1
0.2
0.1
 
96,488
12.4
1.6
0.8
 
21,700
2.8
0.6
0.5
 
73,815
12.7
1.6
0.6
 
20,179
3.5
0.8
0.5
 
S
S
U
S
 
154,515
2.1
0.5
3.8
 
49,227
9.6
1.2
0.4
 
5,229
1.0
0.2
0.1
 
28,024
11.7
1.5
0.2
 
1,590
0.7
0.1
0.0
 
61,902
9.1
1.2
0.5
 
S
S
U
S
 
97,394
8.7
1.1
0.9
 
23,069
2.1
0.5
0.6
 
846,560
7.7
1.0
7.4
 
429,141
3.9
0.9
10.5
 
33,605
9.7
1.2
0.3
 
7,235
2.1
0.5
0.2
 
36,198
14.3
1.8
0.3
 
1,746
0.7
0.2
0.0
 
33,573
6.0
0.8
0.3
 
4,369
0.8
0.2
0.1
 
61,173
18.6
2.4
0.5
 
9,625
2.9
0.6
0.2
 
98,041
15.6
2.0
0.9
 
8,671
1.4
0.3
0.2
 
95,854
6.4
0.8
0.8
 
27,665
1.8
0.4
0.7
 
129,003
10.4
1.3
1.1
 
28,480
2.3
0.5
0.7
 
S
S
U
S
 
15,385
3.3
0.7
0.4
 
43,194
5.7
0.7
0.4
 
14,715
2.0
0.4
0.4
 
24,971
9.3
1.2
0.2
 
4,596
1.7
0.4
0.1
 
37,828
11.7
1.5
0.3
 
21,981
6.8
1.5
0.5
 
58,732
18.0
2.3
0.5
 
4,235
1.3
0.3
0.1
 
154,477
8.7
1.1
1.4
 
102,616
5.8
1.3
2.5
 
52,322
9.1
1.2
0.5
 
S
S
U
S
 
14,658
5.8
0.7
0.1
 
S
S
U
S
 
S
S
U
S
 
12,861
2.7
0.6
0.3
 
52,751
14.2
1.8
0.5
 
1,393
0.4
0.1
0.0
 
95,724
8.1
1.0
0.8
 
27,764
2.4
0.5
0.7
 
30,038
8.8
1.1
0.3
 
1,590
0.5
0.1
0.0
 
1,798,955
6.3
0.8
15.8
 
1,258,810
4.4
1.0
30.7
 
325,275
11.1
1.4
2.9
 
134,141
4.6
1.0
3.3
 
45,432
5.6
0.7
0.4
 
15,115
1.9
0.4
0.4
 
27,353
20.3
2.6
0.2
 
S
S
U
S
 
27,671
5.7
0.7
0.2
 
S
S
U
S
 
521,897
7.6
1.0
4.6
 
277,622
4.1
0.9
6.8
 
61,223
12.0
1.5
0.5
 
6,965
1.4
0.3
0.2
 
139,529
7.0
0.9
1.2
 
25,218
1.3
0.3
0.6
 
S
S
U
S
 
102,059
2.5
0.6
2.5
 
100,461
20.0
2.5
0.9
 
8,361
1.7
0.4
0.2
 
18,822
9.2
1.2
0.2
 
1,043
0.5
0.1
0.0
 
102,306
25.3
3.2
0.9
 
12,868
3.2
0.7
0.3
 
27,893
16.7
2.1
0.2
 
S
S
U
S
 
142,792
12.8
1.6
1.3
 
34,620
3.1
0.7
0.8
 
151,903
15.6
2.0
1.3
 
32,835
3.4
0.7
0.8
 
91,354
7.8
1.0
0.8
 
7,256
0.6
0.1
0.2
 
42,109
21.3
2.7
0.4
 
S
S
U
S
 
135,543
9.2
1.2
1.2
 
40,812
2.8
0.6
1.0
 
37,053
10.3
1.3
0.3
 
5,305
1.5
0.3
0.1
 
112,245
13.5
1.7
1.0
 
27,836
3.3
0.7
0.7
 
383,974
10.1
1.3
3.4
 
168,700
4.5
1.0
4.1
 
17,726
8.1
1.0
0.2
 
1,469
0.7
0.1
0.0
 
112,261
17.3
2.2
1.0
 
S
S
U
S
 
 
 
 
 
 
 
 
 
 
 
 
11,411,170
8.4
1.1
100.0
 
4,104,551
3.0
0.7
100.0
 
6,586,496
7.5
1.0
57.7
 
3,099,754
3.5
0.8
75.5
 
4,824,674
10.1
1.3
42.3
 
1,004,797
2.1
0.5
24.5
 
 
 
 
 
 
 
 
 
 
 
 
1,199,218,000
7.9
1.0
 
691,776,000
4.5
1.0
 
1,045,637,839
7.5
1.0
 
653,444,253
4.7
1.0
 
153,580,161
11.7
1.5
 
38,331,747
2.9
0.6
Source: Calculations by the Iowa Regional Economic Analysis Project (IA-REAP)
with data provided by the U.S. Department of Commerce, Bureau of Economic Analysis
November 2023
REAP_PI_CA1600N_620320_611400_SA
 
   
Select an alternate year:
   
 
Local Government vs. Administrative and Waste Services
Earnings Structure by Region:
Iowa, 2022
 
Local Government
 
Administrative and Waste Services
Metropolitan Statistical Areas
 
 
 
S
S
U
S
 
118,466
2.5
0.6
2.9
 
984,183
8.0
1.0
8.6
 
441,620
3.6
0.8
10.8
 
1,239,004
8.1
1.0
10.9
 
S
S
U
S
 
2,445,148
6.8
0.9
21.4
 
1,487,620
4.1
0.9
36.2
 
269,323
5.9
0.7
2.4
 
111,267
2.4
0.5
2.7
 
S
S
U
S
 
161,771
1.9
0.4
3.9
 
S
S
U
S
 
2,536,330
5.3
1.2
61.8
 
516,125
7.9
1.0
4.5
 
240,869
3.7
0.8
5.9
 
601,672
8.7
1.1
5.3
 
178,652
2.6
0.6
4.4
 
 
 
 
 
 
 
 
 
 
 
 
11,411,170
8.4
1.1
100.0
 
4,104,551
3.0
0.7
100.0
 
6,586,496
7.5
1.0
57.7
 
3,099,754
3.5
0.8
75.5
 
4,824,674
10.1
1.3
42.3
 
1,004,797
2.1
0.5
24.5
 
 
 
 
 
 
 
 
 
 
 
 
1,199,218,000
7.9
1.0
 
691,776,000
4.5
1.0
 
1,045,637,839
7.5
1.0
 
653,444,253
4.7
1.0
 
153,580,161
11.7
1.5
 
38,331,747
2.9
0.6
Source: Calculations by the Iowa Regional Economic Analysis Project (IA-REAP)
with data provided by the U.S. Department of Commerce, Bureau of Economic Analysis
November 2023
REAP_PI_CA1600N_620320_611400_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
   
 
Local Government vs. Administrative and Waste Services
Iowa Real* Earnings Growth Distribution by County:
Growth Rates, 2022
More
than
3.0%
3.0%
to
2.5%
2.5%
to
2.0%
2.0%
to
1.5%
1.5%
to
1.0%
1.0%
to
0.5%
0.5%
or
Below
Suppressed
or
Undefined
Total
Local Government
1
0
0
0
0
1
90
7
99
Administrative and Waste Services
32
2
2
1
0
3
29
30
99
 
   
Select an alternate year:
   
 
Local Government vs. Administrative and Waste Services
Real* Earnings Growth by County:
Iowa, 2022
 
Local Government
 
Administrative and Waste Services
 
 
 
-2.4
-0.2
1.0
0.6
 
-13.0
-0.5
-18.2
-17.9
 
N
N
N
N
 
N
N
N
N
 
-3.5
-0.5
-0.1
-0.5
 
N
N
N
N
 
-2.5
-0.3
0.9
0.5
 
-0.8
0.0
-5.9
-5.6
 
-5.7
-0.5
-2.3
-2.7
 
N
N
N
N
 
-2.2
-0.3
1.2
0.8
 
N
N
N
N
 
-3.6
-0.3
-0.2
-0.6
 
0.3
0.0
-4.9
-4.6
 
-4.4
-0.6
-1.0
-1.4
 
-0.8
0.0
-6.0
-5.7
 
-3.2
-0.5
0.2
-0.2
 
-10.9
-0.1
-16.1
-15.8
 
-1.8
-0.2
1.6
1.2
 
-3.1
-0.1
-8.2
-7.9
 
-1.4
-0.2
2.0
1.6
 
-12.2
-0.2
-17.3
-17.0
 
-3.4
-0.4
0.0
-0.5
 
37.6
0.9
32.5
32.8
 
-3.4
-0.3
0.0
-0.4
 
N
N
N
N
 
-2.2
-0.2
1.2
0.8
 
4.0
0.0
-1.2
-0.9
 
-1.7
-0.3
1.7
1.3
 
65.6
1.0
60.4
60.7
 
-4.1
-0.5
-0.7
-1.2
 
N
N
N
N
 
-5.7
-0.5
-2.3
-2.7
 
-2.1
-0.1
-7.3
-6.9
 
-3.2
-0.2
0.2
-0.2
 
N
N
N
N
 
-1.2
-0.1
2.2
1.7
 
N
N
N
N
 
-1.2
-0.2
2.2
1.8
 
15.9
0.2
10.8
11.1
 
-0.3
0.0
3.1
2.7
 
-12.3
-0.2
-17.5
-17.2
 
-1.0
-0.1
2.4
2.0
 
N
N
N
N
 
-4.6
-0.5
-1.2
-1.7
 
-4.4
-0.1
-9.6
-9.3
 
-0.5
-0.1
2.9
2.5
 
N
N
N
N
 
0.9
0.1
4.3
3.9
 
-10.7
-0.4
-15.9
-15.6
 
-1.0
-0.2
2.4
2.0
 
0.7
0.0
-4.5
-4.2
 
-7.2
-1.4
-3.8
-4.2
 
N
N
N
N
 
-4.7
-0.6
-1.3
-1.8
 
N
N
N
N
 
-5.1
-0.5
-1.7
-2.1
 
54.4
1.4
49.2
49.5
 
-3.2
-0.3
0.2
-0.2
 
36.9
2.6
31.8
32.1
 
-3.8
-0.2
-0.4
-0.8
 
0.8
0.0
-4.4
-4.0
 
-4.9
-0.7
-1.5
-1.9
 
N
N
N
N
 
-4.4
-0.5
-1.0
-1.5
 
51.0
0.5
45.8
46.2
 
-0.4
0.0
3.0
2.6
 
-5.3
-0.1
-10.5
-10.2
 
-1.2
-0.1
2.2
1.8
 
-18.9
-0.3
-24.1
-23.8
 
-2.7
-0.2
0.7
0.3
 
67.3
1.6
62.1
62.5
 
-7.1
-1.0
-3.7
-4.1
 
67.3
1.1
62.1
62.4
 
-3.0
-0.3
0.4
-0.1
 
5.7
0.1
0.5
0.8
 
-2.1
-0.3
1.3
0.9
 
-2.9
-0.1
-8.1
-7.7
 
-4.6
-0.6
-1.2
-1.7
 
3.3
0.0
-1.8
-1.5
 
-0.9
-0.1
2.5
2.1
 
N
N
N
N
 
-3.3
-0.4
0.1
-0.3
 
N
N
N
N
 
-1.6
-0.2
1.8
1.4
 
-11.2
-0.2
-16.4
-16.0
 
-5.5
-0.6
-2.1
-2.5
 
15.7
0.5
10.6
10.9
 
N
N
N
N
 
N
N
N
N
 
-3.0
-0.4
0.4
-0.1
 
N
N
N
N
 
0.3
0.0
3.7
3.3
 
26.9
0.3
21.7
22.1
 
0.2
0.0
3.6
3.1
 
2.1
0.0
-3.0
-2.7
 
-3.4
-0.4
0.0
-0.5
 
-9.8
-0.1
-14.9
-14.6
 
-4.9
-0.6
-1.5
-1.9
 
N
N
N
N
 
-3.6
-0.5
-0.2
-0.7
 
9.0
0.3
3.8
4.1
 
N
N
N
N
 
7.9
0.2
2.7
3.1
 
-2.2
-0.2
1.3
0.8
 
9.0
0.1
3.8
4.1
 
-5.8
-0.7
-2.4
-2.9
 
31.6
0.2
26.4
26.7
 
-2.4
-0.2
1.0
0.5
 
N
N
N
N
 
-0.3
0.0
3.1
2.7
 
-16.8
-0.4
-22.0
-21.7
 
-4.3
-0.3
-0.9
-1.3
 
0.4
0.0
-4.8
-4.5
 
-3.2
-0.3
0.2
-0.3
 
2.7
0.1
-2.5
-2.2
 
-1.1
-0.1
2.3
1.9
 
8.0
0.0
2.9
3.2
 
-2.4
-0.2
1.0
0.6
 
N
N
N
N
 
-3.5
-0.7
-0.1
-0.5
 
N
N
N
N
 
-0.4
-0.1
3.0
2.6
 
6.8
0.1
1.6
1.9
 
-2.1
-0.1
1.3
0.9
 
14.1
0.2
8.9
9.2
 
-6.0
-0.6
-2.6
-3.0
 
-5.2
-0.1
-10.4
-10.1
 
N
N
N
N
 
17.1
0.5
11.9
12.2
 
-2.0
-0.2
1.4
1.0
 
0.9
0.0
-4.3
-3.9
 
-4.6
-0.5
-1.1
-1.6
 
29.8
0.4
24.6
24.9
 
0.0
0.0
3.4
3.0
 
-0.8
-0.1
-6.0
-5.6
 
-4.1
-0.8
-0.7
-1.1
 
-15.8
-0.2
-21.0
-20.7
 
-7.2
-0.7
-3.8
-4.3
 
4.4
0.3
-0.7
-0.4
 
-4.5
-0.5
-1.1
-1.5
 
N
N
N
N
 
-3.4
-0.2
0.0
-0.4
 
N
N
N
N
 
N
N
N
N
 
35.4
0.7
30.3
30.6
 
-3.4
-0.6
0.0
-0.4
 
-17.4
-0.1
-22.6
-22.3
 
-1.0
-0.1
2.4
1.9
 
-0.4
0.0
-5.6
-5.3
 
-3.7
-0.4
-0.3
-0.7
 
7.8
0.0
2.7
3.0
 
-2.7
-0.2
0.7
0.2
 
6.7
0.3
1.5
1.8
 
-5.8
-0.7
-2.4
-2.8
 
30.3
1.1
25.2
25.5
 
-3.9
-0.2
-0.5
-0.9
 
1.6
0.0
-3.6
-3.3
 
N
N
N
N
 
N
N
N
N
 
-3.7
-0.3
-0.3
-0.7
 
N
N
N
N
 
-4.8
-0.4
-1.4
-1.8
 
-1.1
0.0
-6.3
-6.0
 
-3.4
-0.4
0.0
-0.4
 
-7.3
-0.1
-12.4
-12.1
 
-2.3
-0.2
1.1
0.7
 
6.0
0.1
0.8
1.1
 
N
N
N
N
 
3.4
0.1
-1.8
-1.5
 
-1.4
-0.3
2.0
1.5
 
-0.5
0.0
-5.7
-5.4
 
-4.7
-0.5
-1.3
-1.7
 
N
N
N
N
 
-2.7
-0.7
0.7
0.3
 
-11.3
-0.4
-16.5
-16.2
 
-4.0
-0.7
-0.6
-1.0
 
N
N
N
N
 
-1.9
-0.2
1.5
1.1
 
-4.7
-0.2
-9.9
-9.6
 
-4.7
-0.8
-1.3
-1.8
 
5.9
0.2
0.7
1.1
 
-3.5
-0.3
-0.1
-0.5
 
3.9
0.0
-1.3
-0.9
 
-3.4
-0.7
0.0
-0.4
 
N
N
N
N
 
-3.6
-0.4
-0.2
-0.6
 
16.9
0.4
11.8
12.1
 
-3.7
-0.4
-0.3
-0.7
 
N
N
N
N
 
-1.1
-0.2
2.3
1.9
 
3.0
0.1
-2.2
-1.9
 
-2.2
-0.2
1.2
0.7
 
2.5
0.1
-2.7
-2.4
 
-4.3
-0.4
-0.9
-1.3
 
-6.1
0.0
-11.2
-10.9
 
3.9
0.8
7.3
6.9
 
N
N
N
N
 
 
 
 
 
 
 
 
 
 
 
 
-3.0
-0.3
0.4
0.0
 
4.9
0.1
-0.3
0.0
 
-3.1
-0.2
0.3
-0.1
 
5.1
0.2
0.0
0.3
 
-2.8
-0.3
0.6
0.1
 
17.9
0.3
12.7
13.0
 
 
 
 
 
 
 
 
 
 
 
 
-3.4
-0.3
0.0
 
5.2
0.2
0.0
 
-3.4
-0.3
0.0
 
5.3
0.2
0.1
 
-3.1
-0.4
0.3
 
3.7
0.1
-1.5
Source: Calculations by the Iowa Regional Economic Analysis Project (IA-REAP)
with data provided by the U.S. Department of Commerce, Bureau of Economic Analysis
November 2023
REAP_PI_CA1600N_620320_611400_GA
 
   
Select an alternate year:
   
 
Local Government vs. Administrative and Waste Services
Real* Earnings Growth by Region:
Iowa, 2022
 
Local Government
 
Administrative and Waste Services
Metropolitan Statistical Areas
 
 
 
N
N
N
N
 
2.8
0.1
-2.4
-2.1
 
-4.0
-0.3
-0.6
-1.0
 
N
N
N
N
 
-4.6
-0.4
-1.2
-1.6
 
N
N
N
N
 
-2.5
-0.2
0.9
0.4
 
N
N
N
N
 
-3.8
-0.2
-0.4
-0.8
 
0.8
0.0
-4.4
-4.0
 
N
N
N
N
 
7.7
0.1
2.5
2.9
 
N
N
N
N
 
14.5
0.7
9.4
9.7
 
-2.2
-0.2
1.2
0.8
 
N
N
N
N
 
-3.5
-0.3
-0.1
-0.5
 
0.0
0.0
-5.2
-4.9
 
 
 
 
 
 
 
 
 
 
 
 
-3.0
-0.3
0.4
0.0
 
4.9
0.1
-0.3
0.0
 
-3.1
-0.2
0.3
-0.1
 
5.1
0.2
0.0
0.3
 
-2.8
-0.3
0.6
0.1
 
17.9
0.3
12.7
13.0
 
 
 
 
 
 
 
 
 
 
 
 
-3.4
-0.3
0.0
 
5.2
0.2
0.0
 
-3.4
-0.3
0.0
 
5.3
0.2
0.1
 
-3.1
-0.4
0.3
 
3.7
0.1
-1.5
Source: Calculations by the Iowa Regional Economic Analysis Project (IA-REAP)
with data provided by the U.S. Department of Commerce, Bureau of Economic Analysis
November 2023
REAP_PI_CA1600N_620320_611400_GB
 
   
Additional Notes on Interpreting
Earnings for Iowa
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 Iowa over 2022, and 2002-2022, respectively. When summed over all industries the component contribution will match Iowa's TOTAL earnings growth rate.
Copyright © 2023. Pacific Northwest Regional Economic Analysis Project (PNREAP). All Rights Reserved.

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