Finance and Insurance vs. Manufacturing
Earnings Structure and Growth by County
Wisconsin, 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
   
 
Finance and Insurance vs. Manufacturing
Wisconsin 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%
to
1%
1%
or
Below
Total
Finance and Insurance
8
5
1
4
9
27
15
3
72
Manufacturing
65
3
0
1
1
0
0
2
72
 
   
Select an alternate year:
   
 
Finance and Insurance vs. Manufacturing
Earnings Structure by County:
Wisconsin, 2022
 
Finance and Insurance
 
Manufacturing
 
 
 
4,202
1.3
0.2
0.0
 
20,541
6.5
0.7
0.0
 
16,288
2.9
0.4
0.1
 
79,336
14.1
1.6
0.2
 
39,082
2.5
0.3
0.2
 
392,889
24.8
2.8
0.9
 
5,986
2.1
0.3
0.0
 
13,644
4.8
0.5
0.0
 
1,101,120
7.9
1.1
7.0
 
2,252,964
16.2
1.8
5.4
 
10,467
3.1
0.4
0.1
 
20,545
6.0
0.7
0.0
 
6,700
2.0
0.3
0.0
 
73,238
21.4
2.4
0.2
 
39,987
3.2
0.4
0.3
 
401,962
31.8
3.6
1.0
 
39,025
1.9
0.3
0.2
 
441,706
21.1
2.4
1.1
 
11,986
1.1
0.2
0.1
 
298,926
27.1
3.1
0.7
 
35,628
1.9
0.3
0.2
 
481,951
25.6
2.9
1.2
 
12,394
2.5
0.4
0.1
 
91,405
18.6
2.1
0.2
 
2,717,527
7.8
1.1
17.3
 
2,593,153
7.5
0.9
6.2
 
51,659
1.8
0.2
0.3
 
884,548
30.1
3.4
2.1
 
18,612
1.9
0.3
0.1
 
156,683
16.0
1.8
0.4
 
28,352
2.1
0.3
0.2
 
185,974
13.8
1.6
0.4
 
38,800
2.8
0.4
0.2
 
297,280
21.3
2.4
0.7
 
320,885
6.6
0.9
2.0
 
425,421
8.8
1.0
1.0
 
2,306
2.7
0.4
0.0
 
S
S
U
S
 
149,743
3.8
0.5
1.0
 
994,881
25.0
2.8
2.4
 
3,788
1.8
0.3
0.0
 
19,424
9.1
1.0
0.0
 
54,682
3.5
0.5
0.3
 
250,745
16.0
1.8
0.6
 
36,716
2.9
0.4
0.2
 
329,385
25.8
2.9
0.8
 
19,663
4.3
0.6
0.1
 
66,532
14.7
1.7
0.2
 
15,227
1.6
0.2
0.1
 
202,807
20.8
2.4
0.5
 
2,624
2.4
0.3
0.0
 
9,623
8.7
1.0
0.0
 
13,281
2.2
0.3
0.1
 
56,124
9.2
1.0
0.1
 
55,012
2.1
0.3
0.3
 
889,467
33.9
3.9
2.1
 
11,338
1.7
0.2
0.1
 
144,609
21.2
2.4
0.3
 
90,160
1.5
0.2
0.6
 
891,305
15.1
1.7
2.1
 
13,491
2.5
0.4
0.1
 
111,896
20.9
2.4
0.3
 
398,509
6.9
1.0
2.5
 
720,417
12.4
1.4
1.7
 
14,072
3.3
0.5
0.1
 
73,262
17.0
1.9
0.2
 
24,738
4.7
0.7
0.2
 
95,485
18.1
2.1
0.2
 
126,725
15.6
2.2
0.8
 
188,849
23.3
2.7
0.5
 
95,216
3.6
0.5
0.6
 
761,113
28.9
3.3
1.8
 
537,639
8.8
1.2
3.4
 
1,483,140
24.2
2.8
3.5
 
32,892
2.4
0.3
0.2
 
466,802
33.4
3.8
1.1
 
S
S
U
S
 
96,897
35.4
4.0
0.2
 
-155
-0.1
U
0.0
 
S
S
U
S
 
4,161,774
9.2
1.3
26.4
 
4,688,107
10.4
1.2
11.2
 
31,285
1.8
0.3
0.2
 
307,686
18.1
2.1
0.7
 
10,881
1.6
0.2
0.1
 
169,971
24.5
2.8
0.4
 
31,958
2.5
0.3
0.2
 
136,755
10.6
1.2
0.3
 
644,598
6.9
1.0
4.1
 
1,792,858
19.2
2.2
4.3
 
250,906
6.8
1.0
1.6
 
796,828
21.6
2.5
1.9
 
5,430
2.6
0.4
0.0
 
14,075
6.8
0.8
0.0
 
21,685
2.4
0.3
0.1
 
145,873
16.2
1.8
0.3
 
25,675
2.1
0.3
0.2
 
291,852
24.2
2.8
0.7
 
534,073
18.8
2.7
3.4
 
382,887
13.5
1.5
0.9
 
6,939
1.7
0.2
0.0
 
136,137
33.4
3.8
0.3
 
210,612
3.4
0.5
1.3
 
1,886,968
30.1
3.4
4.5
 
8,859
2.1
0.3
0.1
 
105,948
24.7
2.8
0.3
 
130,021
2.4
0.3
0.8
 
870,133
15.9
1.8
2.1
 
S
S
U
S
 
100,605
27.7
3.2
0.2
 
125,804
4.2
0.6
0.8
 
622,853
20.7
2.4
1.5
 
80,878
2.7
0.4
0.5
 
412,098
13.8
1.6
1.0
 
15,835
3.2
0.4
0.1
 
59,917
12.0
1.4
0.1
 
23,797
2.6
0.4
0.2
 
150,424
16.6
1.9
0.4
 
359,847
7.1
1.0
2.3
 
1,994,226
39.2
4.5
4.8
 
17,947
2.9
0.4
0.1
 
206,520
33.0
3.8
0.5
 
21,154
2.1
0.3
0.1
 
344,588
34.1
3.9
0.8
 
24,783
3.3
0.5
0.2
 
74,857
10.1
1.1
0.2
 
17,508
2.8
0.4
0.1
 
23,110
3.7
0.4
0.1
 
56,180
1.7
0.2
0.4
 
670,210
20.3
2.3
1.6
 
12,356
2.9
0.4
0.1
 
76,770
17.8
2.0
0.2
 
313,322
6.4
0.9
2.0
 
1,261,232
25.7
2.9
3.0
 
1,802,001
7.5
1.1
11.4
 
4,261,961
17.8
2.0
10.2
 
28,015
2.0
0.3
0.2
 
477,802
34.6
3.9
1.1
 
8,859
2.0
0.3
0.1
 
66,791
15.4
1.8
0.2
 
423,431
5.3
0.7
2.7
 
1,943,004
24.3
2.8
4.6
 
129,933
4.4
0.6
0.8
 
359,973
12.3
1.4
0.9
 
 
 
 
 
 
 
 
 
 
 
 
15,745,875
6.3
0.9
100.0
 
41,806,284
16.8
1.9
100.0
 
14,105,616
7.0
1.0
89.6
 
32,139,825
15.9
1.8
76.9
 
1,640,259
3.5
0.5
10.4
 
9,666,459
20.8
2.4
23.1
 
 
 
 
 
 
 
 
 
 
 
 
1,078,856,000
7.1
1.0
 
1,335,947,000
8.8
1.0
 
1,041,635,863
7.5
1.1
 
1,136,558,233
8.2
0.9
 
37,220,137
2.8
0.4
 
199,388,767
15.2
1.7
Source: Calculations by the Wisconsin Regional Economic Analysis Project (WI-REAP)
with data provided by the U.S. Department of Commerce, Bureau of Economic Analysis
November 2023
REAP_PI_CA1600N_611000_610500_SA
 
   
Select an alternate year:
   
 
Finance and Insurance vs. Manufacturing
Earnings Structure by Region:
Wisconsin, 2022
 
Finance and Insurance
 
Manufacturing
Metropolitan Statistical Areas
 
 
 
684,585
6.5
0.9
4.3
 
2,194,820
20.7
2.4
5.2
 
352,546
3.4
0.5
2.2
 
773,258
7.5
0.9
1.8
 
359,910
5.2
0.7
2.3
 
867,127
12.5
1.4
2.1
 
149,743
3.8
0.5
1.0
 
994,881
25.0
2.8
2.4
 
1,125,492
7.4
1.0
7.1
 
2,534,831
16.8
1.9
6.1
 
130,021
2.4
0.3
0.8
 
870,133
15.9
1.8
2.1
 
S
S
U
S
 
752,569
12.2
1.4
1.8
 
2,805,098
7.2
1.0
17.8
 
3,607,296
9.3
1.1
8.6
 
6,528,003
8.4
1.2
41.5
 
11,008,128
14.2
1.6
26.3
 
20,848,294
10.2
1.4
132.4
 
22,550,142
11.0
1.3
53.9
 
423,431
5.3
0.7
2.7
 
1,943,004
24.3
2.8
4.6
 
210,612
3.4
0.5
1.3
 
1,886,968
30.1
3.4
4.5
 
359,847
7.1
1.0
2.3
 
1,994,226
39.2
4.5
4.8
 
664,364
9.6
1.4
4.2
 
1,671,989
24.1
2.7
4.0
 
 
 
 
 
 
 
 
 
 
 
 
15,745,875
6.3
0.9
100.0
 
41,806,284
16.8
1.9
100.0
 
14,105,616
7.0
1.0
89.6
 
32,139,825
15.9
1.8
76.9
 
1,640,259
3.5
0.5
10.4
 
9,666,459
20.8
2.4
23.1
 
 
 
 
 
 
 
 
 
 
 
 
1,078,856,000
7.1
1.0
 
1,335,947,000
8.8
1.0
 
1,041,635,863
7.5
1.1
 
1,136,558,233
8.2
0.9
 
37,220,137
2.8
0.4
 
199,388,767
15.2
1.7
Source: Calculations by the Wisconsin Regional Economic Analysis Project (WI-REAP)
with data provided by the U.S. Department of Commerce, Bureau of Economic Analysis
November 2023
REAP_PI_CA1600N_611000_610500_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
   
 
Finance and Insurance vs. Manufacturing
Wisconsin Real* Earnings Growth Distribution by County:
Growth Rates, 2022
More
than
30%
30%
to
20%
20%
to
10%
10%
to
0%
0%
to
-10%
-10%
to
-20%
-20%
to
-30%
-30%
or
Below
Total
Finance and Insurance
0
0
1
27
40
0
2
2
72
Manufacturing
1
0
3
30
34
1
0
3
72
 
   
Select an alternate year:
   
 
Finance and Insurance vs. Manufacturing
Real* Earnings Growth by County:
Wisconsin, 2022
 
Finance and Insurance
 
Manufacturing
 
 
 
-3.9
-0.1
-0.7
-4.3
 
-9.4
-0.6
-10.5
-8.8
 
7.9
0.2
11.2
7.5
 
-5.7
-0.8
-6.7
-5.0
 
-5.8
-0.2
-2.5
-6.1
 
-0.1
0.0
-1.1
0.5
 
1.8
0.0
5.1
1.5
 
4.7
0.2
3.6
5.3
 
-3.7
-0.3
-0.4
-4.0
 
-0.4
-0.1
-1.5
0.2
 
-1.3
0.0
2.0
-1.7
 
8.0
0.5
6.9
8.6
 
0.8
0.0
4.0
0.4
 
-2.7
-0.6
-3.7
-2.1
 
-6.0
-0.2
-2.8
-6.4
 
10.5
3.1
9.4
11.1
 
2.7
0.0
5.9
2.3
 
-0.9
-0.2
-2.0
-0.3
 
-3.1
0.0
0.1
-3.5
 
4.1
1.1
3.0
4.7
 
-0.9
0.0
2.3
-1.3
 
-0.2
-0.1
-1.3
0.4
 
-5.4
-0.1
-2.1
-5.8
 
-14.3
-3.1
-15.4
-13.7
 
4.4
0.3
7.7
4.1
 
1.0
0.1
-0.1
1.6
 
0.9
0.0
4.1
0.5
 
0.9
0.3
-0.2
1.5
 
-4.9
-0.1
-1.7
-5.3
 
-3.6
-0.6
-4.7
-3.0
 
-1.6
0.0
1.6
-2.0
 
-4.4
-0.6
-5.5
-3.8
 
-3.2
-0.1
0.0
-3.6
 
-0.6
-0.1
-1.7
0.0
 
4.7
0.3
7.9
4.3
 
-6.4
-0.6
-7.4
-5.7
 
-20.2
-0.7
-17.0
-20.6
 
N
N
N
N
 
2.8
0.1
6.0
2.4
 
1.6
0.4
0.5
2.2
 
2.3
0.0
5.6
2.0
 
0.3
0.0
-0.8
0.9
 
-4.8
-0.2
-1.6
-5.2
 
2.8
0.4
1.7
3.4
 
-1.6
0.0
1.7
-2.0
 
1.7
0.4
0.6
2.3
 
-6.4
-0.3
-3.1
-6.8
 
7.5
1.0
6.4
8.1
 
-5.5
-0.1
-2.3
-5.9
 
45.2
7.2
44.1
45.8
 
4.4
0.1
7.7
4.1
 
N
N
N
N
 
-2.1
0.0
1.1
-2.5
 
-9.3
-0.9
-10.4
-8.7
 
-20.5
-0.5
-17.2
-20.9
 
-3.0
-1.0
-4.0
-2.3
 
-5.3
-0.1
-2.1
-5.7
 
-2.0
-0.4
-3.1
-1.4
 
-6.9
-0.1
-3.6
-7.2
 
8.0
1.1
6.9
8.6
 
4.0
0.1
7.2
3.6
 
-5.1
-1.1
-6.1
-4.4
 
1.0
0.1
4.2
0.6
 
-1.8
-0.2
-2.9
-1.2
 
5.9
0.2
9.1
5.5
 
5.6
0.9
4.5
6.2
 
-4.1
-0.2
-0.9
-4.5
 
4.2
0.7
3.1
4.8
 
5.6
0.8
8.8
5.2
 
2.7
0.6
1.7
3.3
 
0.8
0.0
4.0
0.4
 
3.6
1.0
2.5
4.2
 
4.5
0.4
7.8
4.1
 
-0.8
-0.2
-1.8
-0.1
 
-1.6
0.0
1.6
-2.0
 
-2.3
-0.8
-3.4
-1.7
 
N
N
N
N
 
1.7
0.6
0.6
2.3
 
1.6
0.0
4.9
1.2
 
N
N
N
N
 
3.4
0.3
6.6
3.0
 
-5.1
-0.6
-6.2
-4.5
 
-2.5
0.0
0.7
-2.9
 
0.4
0.1
-0.7
1.0
 
-0.8
0.0
2.4
-1.2
 
-2.2
-0.5
-3.3
-1.6
 
-4.0
-0.1
-0.7
-4.3
 
-2.8
-0.3
-3.8
-2.1
 
-4.6
-0.3
-1.3
-5.0
 
-0.5
-0.1
-1.6
0.1
 
-1.3
-0.1
1.9
-1.7
 
-0.5
-0.1
-1.6
0.1
 
-7.8
-0.2
-4.6
-8.2
 
1.0
0.1
-0.1
1.6
 
2.3
0.1
5.5
1.9
 
4.6
0.7
3.6
5.3
 
0.3
0.0
3.6
0.0
 
5.6
1.3
4.5
6.2
 
-0.3
-0.1
2.9
-0.7
 
2.1
0.3
1.0
2.7
 
-0.7
0.0
2.6
-1.1
 
13.0
3.9
12.0
13.7
 
-1.7
-0.1
1.5
-2.1
 
0.0
0.0
-1.1
0.6
 
-6.5
-0.1
-3.3
-6.9
 
2.1
0.5
1.0
2.7
 
-9.9
-0.3
-6.7
-10.3
 
0.6
0.1
-0.5
1.2
 
N
N
N
N
 
14.1
3.5
13.0
14.7
 
13.7
0.5
17.0
13.3
 
5.9
1.2
4.8
6.5
 
-1.9
-0.1
1.4
-2.3
 
1.5
0.2
0.4
2.1
 
2.9
0.1
6.1
2.5
 
-4.2
-0.5
-5.3
-3.6
 
0.4
0.0
3.7
0.1
 
-2.3
-0.4
-3.4
-1.7
 
2.3
0.2
5.5
1.9
 
3.3
1.3
2.3
3.9
 
-2.1
-0.1
1.2
-2.5
 
-3.0
-1.0
-4.1
-2.4
 
1.2
0.0
4.4
0.8
 
-5.7
-2.0
-6.8
-5.1
 
1.3
0.0
4.5
0.9
 
8.1
0.7
7.0
8.7
 
-5.9
-0.2
-2.6
-6.2
 
-3.2
-0.1
-4.3
-2.6
 
-3.1
-0.1
0.2
-3.4
 
-1.2
-0.2
-2.3
-0.6
 
2.3
0.1
5.6
2.0
 
0.5
0.1
-0.6
1.1
 
7.8
0.5
11.0
7.4
 
-1.9
-0.5
-3.0
-1.3
 
-7.5
-0.6
-4.2
-7.8
 
-3.2
-0.6
-4.2
-2.5
 
-4.8
-0.1
-1.5
-5.1
 
-1.1
-0.4
-2.2
-0.5
 
-1.5
0.0
1.7
-1.9
 
0.0
0.0
-1.1
0.6
 
-1.3
-0.1
2.0
-1.7
 
-3.7
-0.9
-4.7
-3.0
 
-3.6
-0.2
-0.3
-4.0
 
0.1
0.0
-0.9
0.8
 
 
 
 
 
 
 
 
 
 
 
 
0.4
0.0
3.6
0.0
 
-0.6
-0.1
-1.7
0.0
 
0.7
0.0
3.9
0.3
 
-0.8
-0.1
-1.9
-0.2
 
-2.2
-0.1
1.1
-2.5
 
0.0
0.0
-1.1
0.6
 
 
 
 
 
 
 
 
 
 
 
 
-3.2
-0.2
0.0
 
1.1
0.1
0.0
 
-3.3
-0.3
-0.1
 
0.7
0.1
-0.4
 
-0.7
0.0
2.5
 
3.2
0.5
2.1
Source: Calculations by the Wisconsin Regional Economic Analysis Project (WI-REAP)
with data provided by the U.S. Department of Commerce, Bureau of Economic Analysis
November 2023
REAP_PI_CA1600N_611000_610500_GA
 
   
Select an alternate year:
   
 
Finance and Insurance vs. Manufacturing
Real* Earnings Growth by Region:
Wisconsin, 2022
 
Finance and Insurance
 
Manufacturing
Metropolitan Statistical Areas
 
 
 
-4.7
-0.3
-1.4
-5.0
 
1.3
0.3
0.2
1.9
 
-0.3
0.0
2.9
-0.7
 
-1.3
-0.1
-2.4
-0.7
 
4.5
0.2
7.7
4.1
 
-3.7
-0.5
-4.7
-3.0
 
2.8
0.1
6.0
2.4
 
1.6
0.4
0.5
2.2
 
-3.5
-0.3
-0.3
-3.9
 
-0.8
-0.1
-1.8
-0.1
 
-9.9
-0.3
-6.7
-10.3
 
0.6
0.1
-0.5
1.2
 
N
N
N
N
 
-1.5
-0.2
-2.5
-0.8
 
4.2
0.3
7.5
3.9
 
2.6
0.2
1.6
3.3
 
0.2
0.0
3.4
-0.2
 
-3.7
-0.5
-4.7
-3.1
 
-4.1
-0.4
-0.9
-4.5
 
1.4
0.2
0.3
2.0
 
-1.3
-0.1
2.0
-1.7
 
-3.7
-0.9
-4.7
-3.0
 
-1.7
-0.1
1.5
-2.1
 
0.0
0.0
-1.1
0.6
 
2.3
0.2
5.5
1.9
 
3.3
1.3
2.3
3.9
 
4.7
0.4
8.0
4.3
 
-0.4
-0.1
-1.5
0.2
 
 
 
 
 
 
 
 
 
 
 
 
0.4
0.0
3.6
0.0
 
-0.6
-0.1
-1.7
0.0
 
0.7
0.0
3.9
0.3
 
-0.8
-0.1
-1.9
-0.2
 
-2.2
-0.1
1.1
-2.5
 
0.0
0.0
-1.1
0.6
 
 
 
 
 
 
 
 
 
 
 
 
-3.2
-0.2
0.0
 
1.1
0.1
0.0
 
-3.3
-0.3
-0.1
 
0.7
0.1
-0.4
 
-0.7
0.0
2.5
 
3.2
0.5
2.1
Source: Calculations by the Wisconsin Regional Economic Analysis Project (WI-REAP)
with data provided by the U.S. Department of Commerce, Bureau of Economic Analysis
November 2023
REAP_PI_CA1600N_611000_610500_GB
 
   
Additional Notes on Interpreting
Earnings for Wisconsin
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 Wisconsin over 2022, and 2002-2022, respectively. When summed over all industries the component contribution will match Wisconsin's TOTAL earnings growth rate.
Copyright © 2023. Pacific Northwest Regional Economic Analysis Project (PNREAP). All Rights Reserved.

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