Manufacturing vs. Federal Civilian
Earnings Structure and Growth by County
South Carolina, 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
   
 
Manufacturing vs. Federal Civilian
South Carolina Earnings Distribution by County:
Percent of Total Earnings, 2022
More
than
35%
35%
to
30%
30%
to
25%
25%
to
20%
20%
to
15%
15%
to
10%
10%
to
5%
5%
or
Below
Total
Manufacturing
9
1
5
5
7
8
7
4
46
Federal Civilian
0
0
0
0
0
1
5
40
46
 
   
Select an alternate year:
   
 
Manufacturing vs. Federal Civilian
Earnings Structure by County:
South Carolina, 2022
 
Manufacturing
 
Federal Civilian
 
 
 
132,047
32.3
3.7
0.6
 
4,108
1.0
0.4
0.1
 
816,866
15.3
1.7
3.6
 
102,201
1.9
0.7
2.4
 
68,717
37.1
4.2
0.3
 
1,373
0.7
0.3
0.0
 
1,378,449
26.6
3.0
6.0
 
41,550
0.8
0.3
1.0
 
36,374
15.5
1.8
0.2
 
2,909
1.2
0.5
0.1
 
75,674
24.2
2.8
0.3
 
3,848
1.2
0.5
0.1
 
87,808
1.4
0.2
0.4
 
205,006
3.2
1.2
4.9
 
824,915
14.5
1.6
3.6
 
69,723
1.2
0.5
1.7
 
147,605
39.2
4.5
0.6
 
2,042
0.5
0.2
0.0
 
1,700,075
6.5
0.7
7.4
 
1,497,040
5.7
2.2
35.6
 
461,785
36.4
4.1
2.0
 
9,553
0.8
0.3
0.2
 
284,915
38.3
4.4
1.2
 
6,917
0.9
0.4
0.2
 
354,519
35.5
4.0
1.6
 
8,005
0.8
0.3
0.2
 
23,232
5.0
0.6
0.1
 
5,861
1.3
0.5
0.1
 
50,193
7.3
0.8
0.2
 
8,935
1.3
0.5
0.2
 
476,123
28.3
3.2
2.1
 
14,723
0.9
0.3
0.4
 
107,015
19.9
2.3
0.5
 
6,798
1.3
0.5
0.2
 
569,645
19.0
2.2
2.5
 
25,994
0.9
0.3
0.6
 
126,741
26.1
3.0
0.6
 
50,433
10.4
4.0
1.2
 
75,096
15.2
1.7
0.3
 
3,245
0.7
0.3
0.1
 
695,783
13.2
1.5
3.0
 
64,112
1.2
0.5
1.5
 
216,386
10.9
1.2
0.9
 
13,634
0.7
0.3
0.3
 
2,892,408
11.7
1.3
12.7
 
266,348
1.1
0.4
6.3
 
491,678
23.9
2.7
2.2
 
13,090
0.6
0.2
0.3
 
29,450
9.4
1.1
0.1
 
30,884
9.8
3.8
0.7
 
251,120
2.5
0.3
1.1
 
103,512
1.0
0.4
2.5
 
19,899
2.5
0.3
0.1
 
7,040
0.9
0.3
0.2
 
199,491
14.7
1.7
0.9
 
11,068
0.8
0.3
0.3
 
230,257
9.3
1.1
1.0
 
12,000
0.5
0.2
0.3
 
583,389
39.1
4.4
2.6
 
11,066
0.7
0.3
0.3
 
36,201
14.0
1.6
0.2
 
2,073
0.8
0.3
0.0
 
1,180,001
11.8
1.3
5.2
 
82,721
0.8
0.3
2.0
 
6,095
4.6
0.5
0.0
 
6,465
4.9
1.9
0.2
 
34,308
8.0
0.9
0.2
 
6,310
1.5
0.6
0.2
 
174,199
36.2
4.1
0.8
 
45,121
9.4
3.6
1.1
 
425,509
41.4
4.7
1.9
 
11,346
1.1
0.4
0.3
 
475,258
23.2
2.6
2.1
 
15,386
0.8
0.3
0.4
 
443,139
23.1
2.6
1.9
 
24,373
1.3
0.5
0.6
 
424,988
15.1
1.7
1.9
 
18,979
0.7
0.3
0.5
 
1,137,484
5.5
0.6
5.0
 
1,079,663
5.2
2.0
25.7
 
124,012
39.6
4.5
0.5
 
3,645
1.2
0.4
0.1
 
3,173,121
25.3
2.9
13.9
 
62,918
0.5
0.2
1.5
 
535,849
16.0
1.8
2.3
 
134,420
4.0
1.5
3.2
 
146,020
29.2
3.3
0.6
 
4,769
1.0
0.4
0.1
 
100,729
20.5
2.3
0.4
 
47,067
9.6
3.7
1.1
 
1,008,550
11.2
1.3
4.4
 
51,147
0.6
0.2
1.2
 
 
 
 
 
 
 
 
 
 
 
 
22,833,118
12.9
1.5
100.0
 
4,199,421
2.4
0.9
100.0
 
18,967,822
11.8
1.3
83.1
 
3,933,374
2.4
0.9
93.7
 
3,865,296
23.7
2.7
16.9
 
266,047
1.6
0.6
6.3
 
 
 
 
 
 
 
 
 
 
 
 
1,335,947,000
8.8
1.0
 
397,841,000
2.6
1.0
 
1,136,558,233
8.2
0.9
 
368,444,478
2.7
1.0
 
199,388,767
15.2
1.7
 
29,396,522
2.2
0.9
Source: Calculations by the South Carolina Regional Economic Analysis Project (SC-REAP)
with data provided by the U.S. Department of Commerce, Bureau of Economic Analysis
November 2023
REAP_PI_CA1600N_610500_620100_SA
 
   
Select an alternate year:
   
 
Manufacturing vs. Federal Civilian
Earnings Structure by Region:
South Carolina, 2022
 
Manufacturing
 
Federal Civilian
Metropolitan Statistical Areas
 
 
 
2,139,140
10.4
1.2
9.4
 
1,129,420
5.5
2.1
26.9
 
3,094,635
8.9
1.0
13.6
 
1,592,757
4.6
1.8
37.9
 
10,475,411
7.6
0.9
45.9
 
1,395,668
1.0
0.4
33.2
 
2,863,689
8.6
1.0
12.5
 
1,182,384
3.6
1.4
28.2
 
1,171,906
16.9
1.9
5.1
 
78,835
1.1
0.4
1.9
 
5,279,234
15.4
1.8
23.1
 
337,943
1.0
0.4
8.0
 
107,707
1.5
0.2
0.5
 
212,046
2.9
1.1
5.0
 
383,262
2.9
0.3
1.7
 
163,747
1.2
0.5
3.9
 
3,173,121
25.3
2.9
13.9
 
62,918
0.5
0.2
1.5
 
559,081
14.6
1.7
2.4
 
140,281
3.7
1.4
3.3
 
 
 
 
 
 
 
 
 
 
 
 
22,833,118
12.9
1.5
100.0
 
4,199,421
2.4
0.9
100.0
 
18,967,822
11.8
1.3
83.1
 
3,933,374
2.4
0.9
93.7
 
3,865,296
23.7
2.7
16.9
 
266,047
1.6
0.6
6.3
 
 
 
 
 
 
 
 
 
 
 
 
1,335,947,000
8.8
1.0
 
397,841,000
2.6
1.0
 
1,136,558,233
8.2
0.9
 
368,444,478
2.7
1.0
 
199,388,767
15.2
1.7
 
29,396,522
2.2
0.9
Source: Calculations by the South Carolina Regional Economic Analysis Project (SC-REAP)
with data provided by the U.S. Department of Commerce, Bureau of Economic Analysis
November 2023
REAP_PI_CA1600N_610500_620100_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
   
 
Manufacturing vs. Federal Civilian
South Carolina Real* Earnings Growth Distribution by County:
Growth Rates, 2022
More
than
3%
3%
to
2%
2%
to
1%
1%
to
0%
0%
to
-1%
-1%
to
-2%
-2%
to
-3%
-3%
or
Below
Total
Manufacturing
23
1
2
5
2
3
1
9
46
Federal Civilian
10
5
2
4
5
2
7
11
46
 
   
Select an alternate year:
   
 
Manufacturing vs. Federal Civilian
Real* Earnings Growth by County:
South Carolina, 2022
 
Manufacturing
 
Federal Civilian
 
 
 
-0.4
-0.1
-1.5
-3.0
 
5.7
0.1
8.2
7.6
 
2.1
0.3
1.0
-0.5
 
0.7
0.0
3.2
2.6
 
17.1
5.4
16.1
14.5
 
11.9
0.1
14.4
13.8
 
6.3
1.6
5.2
3.7
 
2.6
0.0
5.1
4.5
 
4.1
0.6
3.0
1.5
 
-2.5
0.0
0.0
-0.6
 
-4.2
-1.1
-5.3
-6.8
 
-2.4
0.0
0.1
-0.5
 
5.3
0.1
4.2
2.7
 
-2.3
-0.1
0.2
-0.4
 
-1.9
-0.3
-3.0
-4.5
 
-0.6
0.0
1.9
1.3
 
11.5
4.0
10.4
8.9
 
-1.4
0.0
1.1
0.5
 
5.4
0.3
4.4
2.8
 
-2.2
-0.1
0.3
-0.3
 
6.2
2.1
5.1
3.6
 
-3.8
0.0
-1.3
-1.9
 
0.6
0.2
-0.5
-2.0
 
3.6
0.0
6.1
5.5
 
0.1
0.0
-1.0
-2.5
 
-0.4
0.0
2.1
1.5
 
-35.7
-2.6
-36.8
-38.3
 
-6.7
-0.1
-4.2
-4.7
 
17.7
1.1
16.7
15.1
 
3.1
0.0
5.6
5.0
 
9.0
2.4
8.0
6.4
 
-3.1
0.0
-0.6
-1.1
 
9.2
1.6
8.2
6.6
 
-3.8
0.0
-1.3
-1.9
 
14.2
2.5
13.1
11.6
 
4.4
0.0
6.9
6.4
 
42.1
8.4
41.1
39.5
 
-1.7
-0.2
0.8
0.2
 
-3.2
-0.5
-4.3
-5.8
 
-4.9
0.0
-2.4
-3.0
 
4.0
0.5
2.9
1.4
 
1.3
0.0
3.8
3.2
 
-1.3
-0.1
-2.3
-3.9
 
1.6
0.0
4.1
3.5
 
3.3
0.4
2.2
0.7
 
2.5
0.0
5.0
4.4
 
0.4
0.1
-0.7
-2.2
 
2.4
0.0
4.9
4.3
 
13.1
1.0
12.0
10.5
 
-12.6
-1.4
-10.1
-10.7
 
6.4
0.2
5.3
3.8
 
4.6
0.0
7.1
6.5
 
-8.9
-0.3
-10.0
-11.5
 
17.8
0.1
20.3
19.7
 
-0.9
-0.1
-1.9
-3.5
 
9.7
0.1
12.2
11.6
 
-5.7
-0.6
-6.7
-8.3
 
3.7
0.0
6.2
5.6
 
3.2
1.2
2.1
0.6
 
2.6
0.0
5.1
4.5
 
0.3
0.0
-0.7
-2.3
 
-3.1
0.0
-0.6
-1.2
 
4.6
0.5
3.5
2.0
 
-0.4
0.0
2.1
1.5
 
304.3
3.7
303.2
301.7
 
-11.4
-0.7
-8.9
-9.5
 
-12.0
-1.1
-13.1
-14.6
 
2.3
0.0
4.8
4.2
 
-20.0
-8.2
-21.1
-22.6
 
-3.0
-0.3
-0.5
-1.1
 
7.3
2.9
6.2
4.7
 
-2.4
0.0
0.1
-0.5
 
-1.3
-0.3
-2.3
-3.9
 
0.5
0.0
3.0
2.5
 
3.1
0.7
2.0
0.5
 
0.1
0.0
2.6
2.0
 
-10.2
-1.7
-11.3
-12.8
 
5.1
0.0
7.6
7.0
 
4.1
0.2
3.0
1.5
 
-3.5
-0.2
-1.0
-1.6
 
5.9
2.2
4.8
3.3
 
0.1
0.0
2.6
2.1
 
1.2
0.3
0.2
-1.4
 
-3.4
0.0
-0.9
-1.5
 
1.1
0.2
0.0
-1.5
 
-6.4
-0.3
-3.9
-4.5
 
0.1
0.0
-1.0
-2.5
 
-0.7
0.0
1.8
1.2
 
-4.8
-0.9
-5.9
-7.4
 
-2.7
-0.2
-0.2
-0.8
 
-2.0
-0.2
-3.1
-4.6
 
-0.7
0.0
1.8
1.2
 
 
 
 
 
 
 
 
 
 
 
 
2.6
0.3
1.5
0.0
 
-1.9
0.0
0.6
0.0
 
2.9
0.3
1.8
0.3
 
-1.9
0.0
0.7
0.1
 
1.1
0.3
0.0
-1.5
 
-2.8
0.0
-0.3
-0.9
 
 
 
 
 
 
 
 
 
 
 
 
1.1
0.1
0.0
 
-2.5
-0.1
0.0
 
0.7
0.1
-0.4
 
-2.5
-0.1
0.0
 
3.2
0.5
2.1
 
-2.2
-0.1
0.3
Source: Calculations by the South Carolina Regional Economic Analysis Project (SC-REAP)
with data provided by the U.S. Department of Commerce, Bureau of Economic Analysis
November 2023
REAP_PI_CA1600N_610500_620100_GA
 
   
Select an alternate year:
   
 
Manufacturing vs. Federal Civilian
Real* Earnings Growth by Region:
South Carolina, 2022
 
Manufacturing
 
Federal Civilian
Metropolitan Statistical Areas
 
 
 
1.0
0.1
-0.1
-1.6
 
-4.6
-0.3
-2.1
-2.7
 
4.8
0.4
3.7
2.2
 
-2.1
-0.1
0.4
-0.2
 
2.9
0.2
1.9
0.3
 
0.0
0.0
2.5
1.9
 
4.2
0.3
3.1
1.6
 
-3.2
-0.1
-0.7
-1.3
 
6.0
1.0
4.9
3.4
 
0.5
0.0
3.0
2.4
 
2.8
0.4
1.7
0.2
 
2.7
0.0
5.2
4.6
 
2.3
0.0
1.3
-0.3
 
-1.8
-0.1
0.7
0.2
 
6.2
0.2
5.1
3.6
 
1.9
0.0
4.4
3.8
 
1.2
0.3
0.2
-1.4
 
-3.4
0.0
-0.9
-1.5
 
-1.3
-0.2
-2.3
-3.9
 
-6.4
-0.2
-3.9
-4.5
 
 
 
 
 
 
 
 
 
 
 
 
2.6
0.3
1.5
0.0
 
-1.9
0.0
0.6
0.0
 
2.9
0.3
1.8
0.3
 
-1.9
0.0
0.7
0.1
 
1.1
0.3
0.0
-1.5
 
-2.8
0.0
-0.3
-0.9
 
 
 
 
 
 
 
 
 
 
 
 
1.1
0.1
0.0
 
-2.5
-0.1
0.0
 
0.7
0.1
-0.4
 
-2.5
-0.1
0.0
 
3.2
0.5
2.1
 
-2.2
-0.1
0.3
Source: Calculations by the South Carolina Regional Economic Analysis Project (SC-REAP)
with data provided by the U.S. Department of Commerce, Bureau of Economic Analysis
November 2023
REAP_PI_CA1600N_610500_620100_GB
 
   
Additional Notes on Interpreting
Earnings for South Carolina
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 South Carolina over 2022, and 2002-2022, respectively. When summed over all industries the component contribution will match South Carolina's TOTAL earnings growth rate.
Copyright © 2023. Pacific Northwest Regional Economic Analysis Project (PNREAP). All Rights Reserved.

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