Earnings by County
Percent of Total Earnings, 2017
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. Federal Civilian
Missouri Earnings Distribution by County:
Percent of Total Earnings, 2017
More
than
6%
6%
to
5%
5%
to
4%
4%
to
3%
3%
to
2%
2%
to
1%
1%
or
Below
Suppressed
or
Undefined
Total
Professional, Scientific, and Technical Services
8
5
9
11
19
22
7
34
115
Federal Civilian
5
2
7
6
14
54
27
0
115
 
   
Page 2 of 9
Select an alternate year:
   
 
Professional, Scientific, and Technical Services vs. Federal Civilian
Earnings Structure by County:
Missouri, 2017
 
Professional, Scientific, and Technical Services
 
Federal Civilian
 
 
 
10,925
2.1
0.2
0.1
 
6,151
1.2
0.4
0.1
 
S
S
U
S
 
2,355
1.5
0.5
0.0
 
S
S
U
S
 
2,016
1.6
0.6
0.0
 
8,221
1.3
0.1
0.0
 
6,125
1.0
0.3
0.1
 
133,759
15.8
1.5
0.7
 
7,717
0.9
0.3
0.1
 
7,172
3.6
0.4
0.0
 
2,647
1.3
0.5
0.0
 
14,903
6.1
0.6
0.1
 
4,084
1.7
0.6
0.1
 
4,389
2.1
0.2
0.0
 
8,908
4.3
1.5
0.2
 
2,351
2.2
0.2
0.0
 
1,381
1.3
0.5
0.0
 
353,273
5.7
0.6
1.9
 
264,364
4.3
1.5
4.5
 
127,788
4.2
0.4
0.7
 
51,434
1.7
0.6
0.9
 
47,390
4.7
0.5
0.3
 
73,172
7.2
2.6
1.3
 
2,086
2.0
0.2
0.0
 
2,905
2.7
1.0
0.0
 
30,509
3.4
0.3
0.2
 
9,886
1.1
0.4
0.2
 
34,112
3.9
0.4
0.2
 
5,152
0.6
0.2
0.1
 
118,978
4.5
0.4
0.6
 
36,090
1.4
0.5
0.6
 
1,955
1.0
0.1
0.0
 
2,972
1.5
0.5
0.1
 
518
0.7
0.1
0.0
 
7,441
9.6
3.4
0.1
 
71,066
4.5
0.4
0.4
 
24,813
1.6
0.6
0.4
 
3,420
2.1
0.2
0.0
 
5,120
3.1
1.1
0.1
 
S
S
U
S
 
2,778
2.2
0.8
0.0
 
50,881
5.0
0.5
0.3
 
8,138
0.8
0.3
0.1
 
1,174
1.7
0.2
0.0
 
2,159
3.1
1.1
0.0
 
1,257,186
16.6
1.6
6.9
 
160,784
2.1
0.8
2.8
 
S
S
U
S
 
6,062
2.5
0.9
0.1
 
194,336
5.8
0.6
1.1
 
60,794
1.8
0.6
1.0
 
7,486
2.6
0.3
0.0
 
3,076
1.1
0.4
0.1
 
6,576
1.5
0.1
0.0
 
2,189
0.5
0.2
0.0
 
655
0.6
0.1
0.0
 
1,869
1.7
0.6
0.0
 
2,326
1.4
0.1
0.0
 
2,243
1.3
0.5
0.0
 
1,974
1.9
0.2
0.0
 
2,220
2.1
0.7
0.0
 
S
S
U
S
 
1,949
0.9
0.3
0.0
 
3,148
1.6
0.2
0.0
 
4,429
2.3
0.8
0.1
 
S
S
U
S
 
4,350
3.5
1.2
0.1
 
10,754
2.7
0.3
0.1
 
6,970
1.7
0.6
0.1
 
102,319
4.3
0.4
0.6
 
17,133
0.7
0.3
0.3
 
S
S
U
S
 
3,520
1.3
0.5
0.1
 
2,380
1.7
0.2
0.0
 
2,384
1.7
0.6
0.0
 
944,531
8.9
0.9
5.2
 
213,498
2.0
0.7
3.7
 
3,670
1.9
0.2
0.0
 
4,499
2.3
0.8
0.1
 
S
S
U
S
 
2,749
1.7
0.6
0.0
 
12,962
2.8
0.3
0.1
 
5,701
1.2
0.4
0.1
 
S
S
U
S
 
2,685
4.3
1.5
0.0
 
S
S
U
S
 
2,204
2.0
0.7
0.0
 
3,138
2.3
0.2
0.0
 
2,558
1.9
0.7
0.0
 
35,606
4.6
0.4
0.2
 
11,108
1.4
0.5
0.2
 
S
S
U
S
 
948
0.5
0.2
0.0
 
4,893,369
16.2
1.6
26.7
 
1,730,623
5.7
2.0
29.6
 
127,689
3.6
0.3
0.7
 
24,745
0.7
0.2
0.4
 
100,069
3.5
0.3
0.5
 
23,638
0.8
0.3
0.4
 
24,390
2.0
0.2
0.1
 
115,071
9.4
3.3
2.0
 
1,708
3.0
0.3
0.0
 
1,765
3.1
1.1
0.0
 
S
S
U
S
 
6,008
0.8
0.3
0.1
 
S
S
U
S
 
8,409
1.6
0.6
0.1
 
21,818
4.1
0.4
0.1
 
24,397
4.6
1.6
0.4
 
S
S
U
S
 
3,705
2.7
1.0
0.1
 
S
S
U
S
 
9,397
1.2
0.4
0.2
 
4,666
1.9
0.2
0.0
 
3,731
1.5
0.5
0.1
 
7,501
2.0
0.2
0.0
 
6,192
1.6
0.6
0.1
 
7,161
2.0
0.2
0.0
 
7,232
2.0
0.7
0.1
 
17,167
5.1
0.5
0.1
 
4,620
1.4
0.5
0.1
 
4,596
2.5
0.2
0.0
 
2,807
1.5
0.5
0.0
 
S
S
U
S
 
690
1.0
0.4
0.0
 
S
S
U
S
 
9,058
1.2
0.4
0.2
 
S
S
U
S
 
2,038
2.8
1.0
0.0
 
8,927
2.2
0.2
0.0
 
3,111
0.8
0.3
0.1
 
2,268
1.0
0.1
0.0
 
1,210
0.5
0.2
0.0
 
2,677
1.1
0.1
0.0
 
3,692
1.4
0.5
0.1
 
2,460
2.0
0.2
0.0
 
5,753
4.7
1.7
0.1
 
4,074
2.1
0.2
0.0
 
3,269
1.7
0.6
0.1
 
S
S
U
S
 
2,574
0.9
0.3
0.0
 
2,719
0.8
0.1
0.0
 
3,105
1.0
0.3
0.1
 
20,374
1.6
0.2
0.1
 
10,765
0.9
0.3
0.2
 
10,247
2.4
0.2
0.1
 
5,806
1.3
0.5
0.1
 
2,773
2.0
0.2
0.0
 
1,999
1.5
0.5
0.0
 
S
S
U
S
 
1,833
0.7
0.2
0.0
 
3,034
4.0
0.4
0.0
 
603
0.8
0.3
0.0
 
4,711
1.7
0.2
0.0
 
3,576
1.3
0.5
0.1
 
18,753
3.5
0.3
0.1
 
3,469
0.6
0.2
0.1
 
56,897
5.3
0.5
0.3
 
11,070
1.0
0.4
0.2
 
24,198
2.2
0.2
0.1
 
35,143
3.2
1.1
0.6
 
11,431
3.5
0.3
0.1
 
5,321
1.6
0.6
0.1
 
210,146
6.4
0.6
1.1
 
84,200
2.6
0.9
1.4
 
S
S
U
S
 
5,031
1.0
0.4
0.1
 
S
S
U
S
 
307,625
18.8
6.7
5.3
 
S
S
U
S
 
1,260
1.8
0.6
0.0
 
S
S
U
S
 
2,009
0.8
0.3
0.0
 
10,328
1.7
0.2
0.1
 
5,073
0.8
0.3
0.1
 
10,244
3.7
0.4
0.1
 
3,460
1.2
0.4
0.1
 
486
0.5
0.0
0.0
 
959
1.0
0.3
0.0
 
1,638
1.2
0.1
0.0
 
4,864
3.7
1.3
0.1
 
531,810
5.4
0.5
2.9
 
73,396
0.7
0.3
1.3
 
S
S
U
S
 
2,471
2.8
1.0
0.0
 
S
S
U
S
 
1,958
0.6
0.2
0.0
 
23,269
2.0
0.2
0.1
 
11,671
1.0
0.4
0.2
 
5,440,689
10.5
1.0
29.7
 
545,398
1.1
0.4
9.3
 
5,909
1.1
0.1
0.0
 
5,977
1.1
0.4
0.1
 
S
S
U
S
 
1,970
5.8
2.1
0.0
 
S
S
U
S
 
1,391
1.7
0.6
0.0
 
37,654
4.1
0.4
0.2
 
7,326
0.8
0.3
0.1
 
S
S
U
S
 
1,448
2.0
0.7
0.0
 
3,468
3.7
0.4
0.0
 
2,135
2.3
0.8
0.0
 
S
S
U
S
 
12,773
2.3
0.8
0.2
 
10,756
3.0
0.3
0.1
 
2,721
0.8
0.3
0.0
 
2,018
1.1
0.1
0.0
 
3,383
1.9
0.7
0.1
 
41,296
2.8
0.3
0.2
 
17,865
1.2
0.4
0.3
 
S
S
U
S
 
5,636
2.0
0.7
0.1
 
8,208
1.8
0.2
0.0
 
7,203
1.6
0.6
0.1
 
13,487
3.0
0.3
0.1
 
3,499
0.8
0.3
0.1
 
S
S
U
S
 
4,145
1.8
0.6
0.1
 
2,871
2.4
0.2
0.0
 
5,847
4.9
1.7
0.1
 
S
S
U
S
 
6,119
1.5
0.5
0.1
 
207
0.7
0.1
0.0
 
1,286
4.5
1.6
0.0
 
S
S
U
S
 
2,942
1.3
0.5
0.1
 
2,753,201
14.0
1.4
15.0
 
1,550,046
7.9
2.8
26.5
 
 
 
 
 
 
 
 
 
 
 
 
18,315,487
9.3
0.9
100.0
 
5,843,242
3.0
1.1
100.0
 
17,469,929
10.5
1.0
95.4
 
4,959,396
3.0
1.1
84.9
 
845,558
2.9
0.3
4.6
 
883,846
3.0
1.1
15.1
 
 
 
 
 
 
 
 
 
 
 
 
1,225,818,000
10.3
1.0
 
334,489,000
2.8
1.0
 
1,189,517,521
11.0
1.1
 
309,150,267
2.8
1.0
 
36,300,479
3.5
0.3
 
25,338,733
2.4
0.9
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 2018
REAP_PI_CA1600N_611200_620100_SA
 
   
Page 3 of 9
Select an alternate year:
   
 
Professional, Scientific, and Technical Services vs. Federal Civilian
Earnings Structure by Region:
Missouri, 2017
 
Professional, Scientific, and Technical Services
 
Federal Civilian
Metropolitan Statistical Areas
 
 
 
121,821
4.3
0.4
0.7
 
39,300
1.4
0.5
0.7
 
353,273
5.7
0.6
1.9
 
264,364
4.3
1.5
4.5
 
1,116,813
6.5
0.6
6.1
 
262,764
1.5
0.5
4.5
 
S
S
U
S
 
76,205
1.6
0.6
1.3
 
148,063
3.1
0.3
0.8
 
35,510
0.7
0.3
0.6
 
11,102,402
13.4
1.3
60.6
 
2,972,221
3.6
1.3
50.9
 
136,430
3.9
0.4
0.7
 
58,231
1.7
0.6
1.0
 
10,080,857
9.7
0.9
55.0
 
3,003,779
2.9
1.0
51.4
 
1,024,232
8.0
0.8
5.6
 
235,029
1.8
0.7
4.0
 
 
 
 
 
 
 
 
 
 
 
 
18,315,487
9.3
0.9
100.0
 
5,843,242
3.0
1.1
100.0
 
17,469,929
10.5
1.0
95.4
 
4,959,396
3.0
1.1
84.9
 
845,558
2.9
0.3
4.6
 
883,846
3.0
1.1
15.1
 
 
 
 
 
 
 
 
 
 
 
 
1,225,818,000
10.3
1.0
 
334,489,000
2.8
1.0
 
1,189,517,521
11.0
1.1
 
309,150,267
2.8
1.0
 
36,300,479
3.5
0.3
 
25,338,733
2.4
0.9
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 2018
REAP_PI_CA1600N_611200_620100_SB
 
   
Page 4 of 9
Real* Earnings Growth by County
Growth Rates, 2017
Select a Year/Indicator:Growth RatesComponent Contributions
Real* Earnings Growth by County
View Distribution Totals as:Actual Percent
   
 
Professional, Scientific, and Technical Services vs. Federal Civilian
Missouri Real* Earnings Growth Distribution by County:
Growth Rates, 2017
More
than
12.5%
12.5%
to
10.0%
10.0%
to
7.5%
7.5%
to
5.0%
5.0%
to
2.5%
2.5%
to
0.0%
0.0%
or
Below
Suppressed
or
Undefined
Total
Professional, Scientific, and Technical Services
11
9
7
9
11
6
22
40
115
Federal Civilian
0
0
2
6
22
23
62
0
115
 
   
Page 5 of 9
Select an alternate year:
   
 
Professional, Scientific, and Technical Services vs. Federal Civilian
Real* Earnings Growth by County:
Missouri, 2017
 
Professional, Scientific, and Technical Services
 
Federal Civilian
 
 
 
-23.4
-0.7
-26.7
-28.4
 
-4.5
-0.1
-5.7
-5.4
 
N
N
N
N
 
6.4
0.1
5.2
5.5
 
N
N
N
N
 
-1.5
0.0
-2.7
-2.4
 
10.6
0.1
7.4
5.7
 
3.1
0.0
1.9
2.2
 
-2.5
-0.4
-5.8
-7.5
 
-3.7
0.0
-4.9
-4.6
 
-3.3
-0.1
-6.6
-8.3
 
2.4
0.0
1.3
1.6
 
-9.1
-0.7
-12.4
-14.1
 
0.8
0.0
-0.4
-0.1
 
4.0
0.1
0.7
-1.0
 
-0.5
0.0
-1.7
-1.4
 
-0.7
0.0
-4.0
-5.7
 
3.6
0.0
2.4
2.7
 
-10.8
-0.7
-14.1
-15.8
 
3.3
0.1
2.1
2.4
 
4.4
0.2
1.1
-0.6
 
0.8
0.0
-0.4
-0.1
 
-1.5
-0.1
-4.8
-6.5
 
4.7
0.3
3.5
3.8
 
28.3
0.5
25.0
23.3
 
3.2
0.1
2.0
2.3
 
-1.9
-0.1
-5.2
-6.9
 
-3.3
0.0
-4.5
-4.2
 
5.6
0.2
2.3
0.6
 
-14.6
-0.1
-15.8
-15.5
 
11.4
0.5
8.1
6.4
 
-1.7
0.0
-2.9
-2.6
 
-4.2
0.0
-7.5
-9.2
 
0.1
0.0
-1.1
-0.8
 
N
N
N
N
 
4.1
0.4
2.9
3.2
 
24.1
0.9
20.9
19.2
 
4.7
0.1
3.5
3.8
 
9.4
0.2
6.1
4.4
 
-1.2
0.0
-2.4
-2.1
 
N
N
N
N
 
-0.9
0.0
-2.1
-1.8
 
10.5
0.5
7.2
5.5
 
0.8
0.0
-0.4
-0.1
 
10.4
0.1
7.1
5.4
 
-4.5
-0.1
-5.7
-5.4
 
12.9
1.9
9.6
7.9
 
3.8
0.1
2.7
3.0
 
N
N
N
N
 
0.0
0.0
-1.2
-0.9
 
5.1
0.3
1.8
0.1
 
-0.3
0.0
-1.5
-1.2
 
N
N
N
N
 
-5.5
-0.1
-6.6
-6.3
 
-1.6
0.0
-4.9
-6.6
 
-0.1
0.0
-1.3
-1.0
 
N
N
N
N
 
1.5
0.0
0.3
0.6
 
7.7
0.1
4.4
2.7
 
-0.1
0.0
-1.3
-1.0
 
10.5
0.2
7.2
5.5
 
-1.2
0.0
-2.4
-2.1
 
N
N
N
N
 
-3.5
0.0
-4.7
-4.4
 
3.8
0.1
0.5
-1.2
 
2.2
0.0
1.0
1.4
 
N
N
N
N
 
3.3
0.1
2.1
2.4
 
3.4
0.1
0.1
-1.6
 
-0.6
0.0
-1.8
-1.5
 
6.0
0.3
2.7
1.0
 
1.3
0.0
0.1
0.4
 
N
N
N
N
 
1.8
0.0
0.6
0.9
 
8.6
0.1
5.3
3.6
 
-0.7
0.0
-1.9
-1.6
 
7.5
0.6
4.2
2.5
 
-1.1
0.0
-2.3
-2.0
 
-10.3
-0.2
-13.6
-15.3
 
-1.7
0.0
-2.9
-2.6
 
N
N
N
N
 
-4.8
-0.1
-6.0
-5.7
 
-2.6
-0.1
-5.8
-7.5
 
-2.3
0.0
-3.5
-3.2
 
N
N
N
N
 
3.6
0.2
2.4
2.7
 
N
N
N
N
 
1.5
0.0
0.3
0.6
 
1.2
0.0
-2.1
-3.8
 
3.6
0.1
2.4
2.7
 
-3.9
-0.2
-7.2
-8.9
 
5.7
0.1
4.5
4.8
 
N
N
N
N
 
3.6
0.0
2.4
2.7
 
5.9
0.9
2.6
0.9
 
1.4
0.1
0.2
0.5
 
11.7
0.4
8.4
6.7
 
0.4
0.0
-0.8
-0.5
 
6.8
0.2
3.5
1.8
 
-1.7
0.0
-2.9
-2.6
 
4.4
0.1
1.1
-0.6
 
-0.6
-0.1
-1.8
-1.5
 
9.4
0.2
6.1
4.4
 
-6.9
-0.2
-8.1
-7.8
 
N
N
N
N
 
-1.0
0.0
-2.2
-1.9
 
N
N
N
N
 
-1.2
0.0
-2.4
-2.1
 
54.8
1.5
51.5
49.8
 
-2.0
-0.1
-3.2
-2.9
 
N
N
N
N
 
4.3
0.1
3.1
3.4
 
N
N
N
N
 
2.5
0.0
1.3
1.6
 
-5.8
-0.1
-9.1
-10.8
 
-1.5
0.0
-2.7
-2.4
 
5.7
0.1
2.4
0.7
 
-0.5
0.0
-1.7
-1.4
 
23.1
0.4
19.8
18.1
 
-0.4
0.0
-1.5
-1.2
 
-18.4
-1.1
-21.7
-23.4
 
2.3
0.0
1.2
1.5
 
13.1
0.3
9.8
8.1
 
-2.7
0.0
-3.9
-3.6
 
N
N
N
N
 
5.0
0.0
3.8
4.1
 
N
N
N
N
 
0.1
0.0
-1.0
-0.7
 
N
N
N
N
 
1.4
0.0
0.2
0.5
 
4.8
0.1
1.5
-0.2
 
-4.6
0.0
-5.8
-5.5
 
8.5
0.1
5.2
3.5
 
10.0
0.0
8.8
9.1
 
-32.4
-0.6
-35.7
-37.4
 
-0.1
0.0
-1.2
-0.9
 
11.0
0.2
7.7
6.0
 
-0.8
0.0
-2.0
-1.7
 
20.1
0.4
16.8
15.1
 
5.6
0.1
4.4
4.7
 
N
N
N
N
 
0.8
0.0
-0.4
-0.1
 
7.0
0.1
3.7
2.0
 
-5.3
-0.1
-6.5
-6.2
 
6.6
0.1
3.3
1.6
 
-5.4
0.0
-6.6
-6.3
 
4.9
0.1
1.6
-0.1
 
-1.2
0.0
-2.4
-2.1
 
5.9
0.1
2.6
0.9
 
-2.5
0.0
-3.7
-3.4
 
N
N
N
N
 
-0.8
0.0
-1.9
-1.6
 
2.1
0.1
-1.2
-2.9
 
4.1
0.0
2.9
3.3
 
12.4
0.2
9.1
7.5
 
4.6
0.1
3.4
3.7
 
14.0
0.4
10.7
9.0
 
0.2
0.0
-1.0
-0.7
 
1.1
0.1
-2.2
-3.9
 
0.5
0.0
-0.7
-0.4
 
2.0
0.0
-1.3
-3.0
 
-0.2
0.0
-1.3
-1.0
 
-1.1
0.0
-4.4
-6.1
 
7.0
0.1
5.8
6.2
 
13.2
0.8
9.9
8.2
 
-2.4
-0.1
-3.6
-3.3
 
N
N
N
N
 
5.8
0.1
4.6
4.9
 
N
N
N
N
 
-0.8
-0.1
-1.9
-1.6
 
N
N
N
N
 
-1.6
0.0
-2.8
-2.5
 
N
N
N
N
 
2.7
0.0
1.5
1.8
 
N
N
N
N
 
-2.7
0.0
-3.9
-3.6
 
32.7
0.9
29.4
27.7
 
-0.3
0.0
-1.5
-1.2
 
10.6
0.0
7.3
5.6
 
3.0
0.0
1.8
2.1
 
-6.5
-0.1
-9.8
-11.5
 
9.4
0.3
8.2
8.5
 
3.2
0.2
-0.1
-1.8
 
-1.7
0.0
-2.9
-2.6
 
N
N
N
N
 
-1.1
0.0
-2.3
-2.0
 
N
N
N
N
 
-0.2
0.0
-1.3
-1.0
 
1.5
0.0
-1.8
-3.5
 
4.5
0.0
3.3
3.6
 
4.2
0.4
0.9
-0.8
 
-0.9
0.0
-2.1
-1.8
 
N
N
N
N
 
-1.6
0.0
-2.7
-2.4
 
N
N
N
N
 
-2.8
-0.2
-4.0
-3.7
 
N
N
N
N
 
-1.1
0.0
-2.3
-2.0
 
2.2
0.1
-1.1
-2.8
 
-3.7
0.0
-4.9
-4.6
 
N
N
N
N
 
3.3
0.1
2.1
2.4
 
-2.0
-0.1
-5.3
-7.0
 
-5.7
-0.1
-6.9
-6.6
 
N
N
N
N
 
1.1
0.0
-0.1
0.2
 
17.2
0.4
13.9
12.2
 
-0.5
0.0
-1.6
-1.3
 
-4.1
-0.1
-7.4
-9.1
 
-0.7
0.0
-1.9
-1.6
 
8.1
0.2
4.8
3.1
 
1.8
0.0
0.6
0.9
 
N
N
N
N
 
-5.8
-0.1
-7.0
-6.7
 
-7.3
-0.1
-10.6
-12.3
 
0.9
0.0
-0.3
0.0
 
4.1
0.1
0.8
-0.9
 
-1.0
0.0
-2.2
-1.9
 
N
N
N
N
 
3.3
0.1
2.1
2.4
 
-25.0
-0.8
-28.3
-30.0
 
5.0
0.2
3.9
4.2
 
N
N
N
N
 
4.0
0.1
2.8
3.1
 
N
N
N
N
 
-4.0
-0.2
-5.2
-4.9
 
N
N
N
N
 
-1.7
0.0
-2.9
-2.6
 
2.6
0.3
-0.7
-2.4
 
1.6
0.1
0.4
0.7
 
 
 
 
 
 
 
 
 
 
 
 
5.0
0.5
1.7
0.0
 
0.9
0.0
-0.3
0.0
 
5.1
0.5
1.8
0.1
 
1.0
0.0
-0.1
0.2
 
2.2
0.1
-1.1
-2.8
 
0.0
0.0
-1.2
-0.9
 
 
 
 
 
 
 
 
 
 
 
 
3.3
0.3
0.0
 
1.2
0.0
0.0
 
3.3
0.4
0.0
 
1.2
0.0
0.0
 
2.2
0.1
-1.1
 
0.6
0.0
-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 2018
REAP_PI_CA1600N_611200_620100_GA
 
   
Page 6 of 9
Select an alternate year:
   
 
Professional, Scientific, and Technical Services vs. Federal Civilian
Real* Earnings Growth by Region:
Missouri, 2017
 
Professional, Scientific, and Technical Services
 
Federal Civilian
Metropolitan Statistical Areas
 
 
 
11.0
0.4
7.7
6.0
 
-1.3
0.0
-2.5
-2.2
 
-10.8
-0.7
-14.1
-15.8
 
3.3
0.1
2.1
2.4
 
4.2
0.3
0.9
-0.8
 
1.7
0.0
0.6
0.9
 
N
N
N
N
 
-0.7
0.0
-1.9
-1.6
 
11.0
0.3
7.7
6.0
 
-1.5
0.0
-2.7
-2.4
 
4.5
0.6
1.2
-0.5
 
1.1
0.0
-0.1
0.2
 
3.9
0.1
0.6
-1.1
 
0.9
0.0
-0.3
0.0
 
3.7
0.4
0.4
-1.3
 
0.9
0.0
-0.2
0.1
 
8.1
0.6
4.8
3.1
 
-0.7
0.0
-1.9
-1.6
 
 
 
 
 
 
 
 
 
 
 
 
5.0
0.5
1.7
0.0
 
0.9
0.0
-0.3
0.0
 
5.1
0.5
1.8
0.1
 
1.0
0.0
-0.1
0.2
 
2.2
0.1
-1.1
-2.8
 
0.0
0.0
-1.2
-0.9
 
 
 
 
 
 
 
 
 
 
 
 
3.3
0.3
0.0
 
1.2
0.0
0.0
 
3.3
0.4
0.0
 
1.2
0.0
0.0
 
2.2
0.1
-1.1
 
0.6
0.0
-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 2018
REAP_PI_CA1600N_611200_620100_GB
 
   
Page 7 of 9
Additional Notes on Interpreting
Earnings for Missouri
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 Missouri over 2017, and 2002-2017, respectively. When summed over all industries the component contribution will match Missouri's TOTAL earnings growth rate.
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