Military vs. Manufacturing
Earnings Structure and Growth by County
Ohio, 2001-2017
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
   
 
Military vs. Manufacturing
Ohio Earnings Distribution by County:
Percent of Total Earnings, 2017
More
than
1.25%
1.25%
to
1.00%
1.00%
to
0.75%
0.75%
to
0.50%
0.50%
to
0.25%
0.25%
or
Below
Total
Military
2
0
1
13
61
11
88
Manufacturing
84
0
0
0
0
4
88
 
   
Select an alternate year:
   
 
Military vs. Manufacturing
Earnings Structure by County:
Ohio, 2017
 
Military
 
Manufacturing
 
 
 
2,136
0.5
0.5
0.1
 
66,891
16.3
1.8
0.1
 
8,222
0.2
0.2
0.5
 
830,450
24.8
2.7
1.5
 
3,995
0.4
0.3
0.2
 
229,817
20.6
2.2
0.4
 
8,662
0.5
0.4
0.5
 
472,410
25.8
2.8
0.9
 
6,196
0.4
0.4
0.4
 
S
S
U
S
 
3,530
0.3
0.2
0.2
 
627,422
45.8
5.0
1.1
 
5,009
0.4
0.3
0.3
 
S
S
U
S
 
3,354
0.6
0.6
0.2
 
49,940
9.6
1.0
0.1
 
30,803
0.3
0.2
1.8
 
2,266,963
19.4
2.1
4.1
 
2,103
0.4
0.4
0.1
 
75,061
15.8
1.7
0.1
 
2,977
0.4
0.4
0.2
 
267,964
38.3
4.2
0.5
 
10,500
0.4
0.3
0.6
 
477,099
16.4
1.8
0.9
 
15,793
0.3
0.3
0.9
 
470,277
9.7
1.1
0.8
 
3,190
0.2
0.2
0.2
 
253,349
18.3
2.0
0.5
 
7,731
0.4
0.4
0.5
 
350,090
20.2
2.2
0.6
 
2,817
0.4
0.4
0.2
 
179,415
27.6
3.0
0.3
 
3,211
0.4
0.4
0.2
 
157,493
20.3
2.2
0.3
 
138,610
0.2
0.2
8.1
 
5,703,820
9.6
1.0
10.3
 
3,972
0.4
0.3
0.2
 
317,818
28.1
3.1
0.6
 
2,917
0.3
0.3
0.2
 
311,898
31.0
3.4
0.6
 
18,908
0.3
0.2
1.1
 
553,798
7.4
0.8
1.0
 
5,922
0.2
0.1
0.3
 
483,176
13.2
1.4
0.9
 
14,271
0.5
0.5
0.8
 
288,531
10.5
1.1
0.5
 
2,196
0.4
0.3
0.1
 
114,899
18.4
2.0
0.2
 
151,479
0.2
0.2
8.9
 
3,409,760
5.6
0.6
6.1
 
3,267
0.3
0.2
0.2
 
463,401
39.1
4.3
0.8
 
2,278
0.3
0.3
0.1
 
40,796
6.3
0.7
0.1
 
7,259
0.3
0.2
0.4
 
521,782
19.2
2.1
0.9
 
322,787
5.1
4.6
18.9
 
281,917
4.5
0.5
0.5
 
3,009
0.3
0.3
0.2
 
207,658
21.5
2.3
0.4
 
79,648
0.2
0.2
4.7
 
5,193,635
11.8
1.3
9.4
 
5,783
0.2
0.1
0.3
 
909,328
25.9
2.8
1.6
 
2,294
0.5
0.4
0.1
 
124,709
26.0
2.8
0.2
 
1,169
0.4
0.4
0.1
 
50,903
17.6
1.9
0.1
 
2,094
0.3
0.3
0.1
 
242,791
34.4
3.7
0.4
 
3,314
0.5
0.5
0.2
 
112,005
17.4
1.9
0.2
 
2,196
0.6
0.5
0.1
 
51,330
13.1
1.4
0.1
 
3,369
0.2
0.2
0.2
 
520,420
32.5
3.5
0.9
 
4,517
0.3
0.3
0.3
 
364,228
25.7
2.8
0.7
 
2,506
0.4
0.4
0.1
 
156,245
27.2
3.0
0.3
 
4,986
0.4
0.4
0.3
 
114,379
9.0
1.0
0.2
 
4,505
0.3
0.3
0.3
 
377,189
27.4
3.0
0.7
 
19,422
0.3
0.3
1.1
 
1,791,745
28.1
3.1
3.2
 
4,646
0.6
0.6
0.3
 
S
S
U
S
 
14,536
0.4
0.4
0.9
 
517,264
14.6
1.6
0.9
 
3,816
0.3
0.3
0.2
 
463,968
35.7
3.9
0.8
 
24,721
0.4
0.3
1.4
 
1,378,770
21.5
2.3
2.5
 
41,861
0.3
0.3
2.5
 
2,213,522
14.7
1.6
4.0
 
3,049
0.3
0.2
0.2
 
277,553
24.1
2.6
0.5
 
18,577
0.3
0.3
1.1
 
537,636
9.3
1.0
1.0
 
7,215
0.5
0.4
0.4
 
416,615
26.4
2.9
0.8
 
16,618
0.4
0.4
1.0
 
670,299
15.9
1.7
1.2
 
1,783
0.9
0.8
0.1
 
6,770
3.3
0.4
0.0
 
3,153
0.3
0.2
0.2
 
424,801
34.0
3.7
0.8
 
8,236
0.3
0.3
0.5
 
751,061
29.2
3.2
1.4
 
1,074
0.7
0.6
0.1
 
S
S
U
S
 
386,681
2.2
2.0
22.7
 
2,215,960
12.4
1.3
4.0
 
1,132
0.7
0.6
0.1
 
29,940
17.6
1.9
0.1
 
2,701
0.7
0.7
0.2
 
70,769
19.6
2.1
0.1
 
6,588
0.3
0.3
0.4
 
196,728
9.6
1.0
0.4
 
918
0.5
0.4
0.1
 
13,297
7.0
0.8
0.0
 
6,067
0.7
0.6
0.4
 
146,916
16.3
1.8
0.3
 
1,462
0.5
0.5
0.1
 
81,059
29.0
3.2
0.1
 
2,787
0.6
0.6
0.2
 
52,707
11.6
1.3
0.1
 
4,131
0.4
0.4
0.2
 
188,315
18.2
2.0
0.3
 
2,164
0.3
0.3
0.1
 
50,027
6.9
0.8
0.1
 
13,790
0.4
0.3
0.8
 
741,442
19.7
2.1
1.3
 
3,178
0.5
0.4
0.2
 
225,115
33.8
3.7
0.4
 
2,617
0.4
0.3
0.2
 
242,586
33.6
3.7
0.4
 
8,964
0.3
0.3
0.5
 
670,662
22.9
2.5
1.2
 
5,660
0.3
0.3
0.3
 
355,794
19.3
2.1
0.6
 
4,547
0.3
0.3
0.3
 
680,032
43.3
4.7
1.2
 
5,758
0.4
0.3
0.3
 
209,345
13.8
1.5
0.4
 
4,110
0.4
0.3
0.2
 
284,369
25.1
2.7
0.5
 
3,756
0.2
0.2
0.2
 
1,033,750
51.6
5.6
1.9
 
31,440
0.3
0.3
1.8
 
1,859,073
18.7
2.0
3.4
 
43,189
0.2
0.2
2.5
 
2,163,559
11.2
1.2
3.9
 
18,636
0.4
0.4
1.1
 
938,517
21.1
2.3
1.7
 
7,101
0.3
0.3
0.4
 
520,854
20.9
2.3
0.9
 
4,200
0.2
0.1
0.2
 
868,838
31.7
3.5
1.6
 
2,169
0.3
0.3
0.1
 
178,002
27.4
3.0
0.3
 
1,015
0.7
0.7
0.1
 
32,739
24.0
2.6
0.1
 
20,095
0.3
0.3
1.2
 
961,647
14.0
1.5
1.7
 
4,578
0.3
0.2
0.3
 
330,333
19.3
2.1
0.6
 
8,773
0.3
0.2
0.5
 
1,160,340
33.6
3.7
2.1
 
2,793
0.3
0.2
0.2
 
425,190
40.1
4.4
0.8
 
11,646
0.3
0.2
0.7
 
1,061,904
23.8
2.6
1.9
 
1,697
0.3
0.3
0.1
 
214,936
37.4
4.1
0.4
 
 
 
 
 
 
 
 
 
 
 
 
1,706,535
0.4
0.4
100.0
 
55,477,794
14.2
1.5
100.0
 
1,519,121
0.5
0.4
89.0
 
40,776,300
12.3
1.3
73.5
 
187,414
0.3
0.3
11.0
 
14,701,494
25.2
2.7
26.5
 
 
 
 
 
 
 
 
 
 
 
 
131,586,000
1.1
1.0
 
1,093,461,000
9.2
1.0
 
119,579,872
1.1
1.0
 
932,372,195
8.6
0.9
 
12,006,128
1.1
1.0
 
161,088,805
15.4
1.7
Source: Calculations by the Ohio Regional Economic Analysis Project (OH-REAP)
with data provided by the U.S. Department of Commerce, Bureau of Economic Analysis
November 2018
REAP_PI_CA1600N_620200_610500_SA
 
   
Select an alternate year:
   
 
Military vs. Manufacturing
Earnings Structure by Region:
Ohio, 2017
 
Military
 
Manufacturing
Metropolitan Statistical Areas
 
 
 
56,979
0.2
0.2
3.3
 
2,905,001
12.6
1.4
5.2
 
33,543
0.3
0.3
2.0
 
1,934,134
18.6
2.0
3.5
 
196,290
0.2
0.2
11.5
 
10,856,798
13.2
1.4
19.6
 
206,630
0.3
0.2
12.1
 
10,066,416
12.7
1.4
18.1
 
218,258
0.3
0.2
12.8
 
6,278,865
7.7
0.8
11.3
 
717,704
2.7
2.4
42.1
 
3,248,938
12.1
1.3
5.9
 
54,105
0.7
0.6
3.2
 
S
S
U
S
 
8,222
0.2
0.2
0.5
 
830,450
24.8
2.7
1.5
 
8,964
0.3
0.3
0.5
 
670,662
22.9
2.5
1.2
 
10,500
0.4
0.3
0.6
 
477,099
16.4
1.8
0.9
 
56,774
0.3
0.2
3.3
 
3,738,827
18.1
2.0
6.7
 
12,362
0.5
0.5
0.7
 
437,250
18.9
2.1
0.8
 
15,285
0.3
0.3
0.9
 
S
S
U
S
 
45,494
0.3
0.3
2.7
 
2,069,074
15.7
1.7
3.7
 
 
 
 
 
 
 
 
 
 
 
 
1,706,535
0.4
0.4
100.0
 
55,477,794
14.2
1.5
100.0
 
1,519,121
0.5
0.4
89.0
 
40,776,300
12.3
1.3
73.5
 
187,414
0.3
0.3
11.0
 
14,701,494
25.2
2.7
26.5
 
 
 
 
 
 
 
 
 
 
 
 
131,586,000
1.1
1.0
 
1,093,461,000
9.2
1.0
 
119,579,872
1.1
1.0
 
932,372,195
8.6
0.9
 
12,006,128
1.1
1.0
 
161,088,805
15.4
1.7
Source: Calculations by the Ohio Regional Economic Analysis Project (OH-REAP)
with data provided by the U.S. Department of Commerce, Bureau of Economic Analysis
November 2018
REAP_PI_CA1600N_620200_610500_SB
 
   
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
   
 
Military vs. Manufacturing
Ohio Real* Earnings Growth Distribution by County:
Growth Rates, 2017
More
than
6.0%
6.0%
to
5.5%
5.5%
to
5.0%
5.0%
to
4.5%
4.5%
to
4.0%
4.0%
to
3.5%
3.5%
to
3.0%
3.0%
or
Below
Total
Military
0
0
0
1
1
0
0
86
88
Manufacturing
13
1
2
1
4
6
2
59
88
 
   
Select an alternate year:
   
 
Military vs. Manufacturing
Real* Earnings Growth by County:
Ohio, 2017
 
Military
 
Manufacturing
 
 
 
-1.7
0.0
-0.2
-1.5
 
-5.0
-0.9
-7.1
-5.7
 
-2.8
0.0
-1.3
-2.6
 
1.7
0.4
-0.3
1.0
 
-1.1
0.0
0.4
-0.9
 
0.9
0.2
-1.1
0.2
 
-0.8
0.0
0.6
-0.7
 
1.5
0.4
-0.6
0.8
 
-3.2
0.0
-1.7
-3.1
 
N
N
N
N
 
-1.3
0.0
0.1
-1.2
 
2.8
1.3
0.8
2.2
 
-2.1
0.0
-0.7
-2.0
 
N
N
N
N
 
-1.5
0.0
0.0
-1.3
 
1.1
0.1
-0.9
0.4
 
-0.5
0.0
1.0
-0.3
 
0.8
0.2
-1.2
0.1
 
-2.3
0.0
-0.8
-2.1
 
-9.3
-1.7
-11.3
-9.9
 
-1.0
0.0
0.5
-0.8
 
1.8
0.7
-0.3
1.1
 
-1.2
0.0
0.3
-1.0
 
3.8
0.6
1.8
3.1
 
-0.7
0.0
0.7
-0.6
 
1.9
0.2
-0.1
1.2
 
-1.0
0.0
0.5
-0.9
 
5.2
0.9
3.2
4.5
 
-2.0
0.0
-0.5
-1.8
 
0.9
0.2
-1.1
0.3
 
-1.6
0.0
-0.1
-1.4
 
3.5
0.9
1.5
2.8
 
-2.0
0.0
-0.5
-1.8
 
-4.1
-0.9
-6.1
-4.7
 
-1.7
0.0
-0.2
-1.5
 
0.7
0.1
-1.4
0.0
 
-1.5
0.0
-0.1
-1.4
 
6.9
1.9
4.9
6.3
 
-1.3
0.0
0.1
-1.2
 
-5.8
-1.9
-7.8
-6.5
 
1.1
0.0
2.6
1.3
 
4.9
0.4
2.9
4.2
 
-0.1
0.0
1.4
0.1
 
9.0
1.1
7.0
8.3
 
1.0
0.0
2.5
1.2
 
6.8
0.7
4.8
6.1
 
-1.0
0.0
0.5
-0.8
 
6.7
1.2
4.7
6.0
 
-1.5
0.0
0.0
-1.3
 
3.6
0.2
1.6
2.9
 
-1.4
0.0
0.0
-1.3
 
4.2
1.6
2.2
3.5
 
-1.2
0.0
0.3
-1.0
 
-0.2
0.0
-2.2
-0.9
 
-1.3
0.0
0.2
-1.1
 
1.3
0.3
-0.7
0.6
 
1.0
0.1
2.5
1.2
 
5.8
0.3
3.8
5.2
 
-1.7
0.0
-0.2
-1.5
 
2.0
0.4
0.0
1.3
 
4.3
0.0
5.8
4.5
 
0.6
0.1
-1.4
-0.1
 
-1.0
0.0
0.4
-0.9
 
3.5
0.8
1.4
2.8
 
-1.4
0.0
0.0
-1.3
 
-6.0
-1.6
-8.0
-6.7
 
-1.7
0.0
-0.3
-1.6
 
150.9
13.0
148.9
150.2
 
-1.6
0.0
-0.1
-1.4
 
-0.1
0.0
-2.1
-0.8
 
-1.4
0.0
0.1
-1.2
 
4.3
0.7
2.3
3.6
 
-1.0
0.0
0.5
-0.8
 
-4.4
-0.6
-6.4
-5.1
 
-1.0
0.0
0.4
-0.9
 
-0.3
-0.1
-2.4
-1.0
 
-1.2
0.0
0.3
-1.0
 
0.1
0.0
-1.9
-0.6
 
-1.5
0.0
-0.1
-1.4
 
-5.1
-1.5
-7.1
-5.8
 
-2.4
0.0
-0.9
-2.2
 
10.7
0.9
8.7
10.0
 
-0.7
0.0
0.8
-0.5
 
5.2
1.4
3.2
4.6
 
-1.0
0.0
0.5
-0.8
 
2.3
0.6
0.3
1.6
 
-2.1
0.0
-0.6
-1.9
 
N
N
N
N
 
-0.1
0.0
1.4
0.1
 
2.7
0.4
0.7
2.0
 
-2.7
0.0
-1.2
-2.5
 
2.8
1.0
0.8
2.1
 
-1.4
0.0
0.1
-1.2
 
-0.9
-0.2
-2.9
-1.6
 
-0.5
0.0
0.9
-0.4
 
-5.4
-0.8
-7.4
-6.0
 
-0.7
0.0
0.7
-0.6
 
-6.4
-1.7
-8.5
-7.1
 
-1.6
0.0
-0.1
-1.4
 
-1.2
-0.1
-3.2
-1.8
 
-3.1
0.0
-1.6
-3.0
 
2.9
0.8
0.9
2.2
 
-1.1
0.0
0.4
-0.9
 
3.6
0.6
1.6
2.9
 
-1.7
0.0
-0.3
-1.6
 
-2.1
-0.1
-4.1
-2.8
 
-0.9
0.0
0.5
-0.8
 
4.1
1.3
2.0
3.4
 
-0.4
0.0
1.1
-0.2
 
2.0
0.6
0.0
1.3
 
-2.5
0.0
-1.0
-2.3
 
N
N
N
N
 
0.2
0.0
1.7
0.4
 
1.6
0.2
-0.4
0.9
 
-1.7
0.0
-0.3
-1.6
 
7.4
1.3
5.4
6.7
 
-1.2
0.0
0.2
-1.1
 
3.6
0.6
1.6
2.9
 
-1.0
0.0
0.5
-0.8
 
-3.7
-0.4
-5.7
-4.4
 
-1.2
0.0
0.3
-1.0
 
49.5
2.3
47.4
48.8
 
5.0
0.0
6.5
5.2
 
0.7
0.1
-1.3
0.0
 
-1.3
0.0
0.1
-1.2
 
3.4
0.9
1.4
2.7
 
-1.2
0.0
0.2
-1.1
 
10.1
1.3
8.1
9.4
 
-0.7
0.0
0.7
-0.6
 
0.7
0.1
-1.4
0.0
 
-1.4
0.0
0.1
-1.2
 
2.6
0.2
0.5
1.9
 
1.3
0.0
2.8
1.5
 
-3.1
-0.7
-5.2
-3.8
 
-1.3
0.0
0.2
-1.1
 
4.3
1.4
2.3
3.7
 
-1.8
0.0
-0.3
-1.6
 
-2.7
-0.9
-4.7
-3.3
 
-1.4
0.0
0.1
-1.2
 
6.5
1.4
4.5
5.8
 
0.6
0.0
2.0
0.7
 
7.7
1.4
5.7
7.1
 
-1.5
0.0
0.0
-1.3
 
3.7
1.6
1.7
3.0
 
-1.8
0.0
-0.3
-1.6
 
-3.7
-0.5
-5.8
-4.4
 
-1.5
0.0
0.0
-1.4
 
-7.2
-1.9
-9.2
-7.8
 
-1.3
0.0
0.2
-1.1
 
2.5
1.3
0.5
1.8
 
-1.5
0.0
0.0
-1.3
 
2.6
0.5
0.6
1.9
 
-1.0
0.0
0.5
-0.8
 
-0.3
0.0
-2.3
-1.0
 
0.5
0.0
1.9
0.6
 
-17.0
-4.2
-19.0
-17.6
 
-1.5
0.0
0.0
-1.3
 
0.5
0.1
-1.5
-0.2
 
1.2
0.0
2.7
1.4
 
-1.6
-0.5
-3.6
-2.3
 
-1.2
0.0
0.3
-1.0
 
7.2
1.9
5.2
6.5
 
-0.8
0.0
0.7
-0.6
 
-5.2
-1.3
-7.2
-5.9
 
0.9
0.0
2.4
1.0
 
-8.3
-1.3
-10.3
-9.0
 
-1.8
0.0
-0.3
-1.6
 
1.6
0.3
-0.4
1.0
 
-1.4
0.0
0.1
-1.2
 
6.6
2.2
4.6
5.9
 
-1.7
0.0
-0.2
-1.5
 
-1.6
-0.7
-3.6
-2.3
 
-2.8
0.0
-1.3
-2.6
 
-4.2
-1.1
-6.2
-4.9
 
-1.4
0.0
0.1
-1.2
 
1.5
0.6
-0.5
0.8
 
 
 
 
 
 
 
 
 
 
 
 
-0.2
0.0
1.3
0.0
 
0.7
0.1
-1.3
0.0
 
0.0
0.0
1.4
0.1
 
0.1
0.0
-1.9
-0.5
 
-1.2
0.0
0.2
-1.1
 
2.4
0.6
0.4
1.8
 
 
 
 
 
 
 
 
 
 
 
 
-1.5
0.0
0.0
 
2.0
0.2
0.0
 
-1.5
0.0
-0.1
 
2.1
0.2
0.0
 
-0.7
0.0
0.8
 
1.7
0.3
-0.3
Source: Calculations by the Ohio Regional Economic Analysis Project (OH-REAP)
with data provided by the U.S. Department of Commerce, Bureau of Economic Analysis
November 2018
REAP_PI_CA1600N_620200_610500_GA
 
   
Select an alternate year:
   
 
Military vs. Manufacturing
Real* Earnings Growth by Region:
Ohio, 2017
 
Military
 
Manufacturing
Metropolitan Statistical Areas
 
 
 
-0.4
0.0
1.0
-0.3
 
-1.0
-0.1
-3.1
-1.7
 
-1.5
0.0
-0.1
-1.4
 
2.1
0.4
0.1
1.4
 
0.2
0.0
1.7
0.3
 
0.2
0.0
-1.8
-0.5
 
-1.5
0.0
-0.1
-1.4
 
1.0
0.1
-1.1
0.3
 
-0.9
0.0
0.5
-0.8
 
2.4
0.2
0.4
1.8
 
0.6
0.0
2.0
0.7
 
2.0
0.2
0.0
1.4
 
1.0
0.0
2.5
1.2
 
N
N
N
N
 
-2.8
0.0
-1.3
-2.6
 
1.7
0.4
-0.3
1.0
 
-1.4
0.0
0.1
-1.2
 
6.5
1.4
4.5
5.8
 
-1.2
0.0
0.3
-1.0
 
3.8
0.6
1.8
3.1
 
-1.1
0.0
0.4
-0.9
 
-3.9
-0.7
-6.0
-4.6
 
-1.2
0.0
0.2
-1.1
 
2.9
0.5
0.9
2.3
 
-1.9
0.0
-0.4
-1.7
 
N
N
N
N
 
-3.5
0.0
-2.1
-3.4
 
-8.3
-1.4
-10.3
-9.0
 
 
 
 
 
 
 
 
 
 
 
 
-0.2
0.0
1.3
0.0
 
0.7
0.1
-1.3
0.0
 
0.0
0.0
1.4
0.1
 
0.1
0.0
-1.9
-0.5
 
-1.2
0.0
0.2
-1.1
 
2.4
0.6
0.4
1.8
 
 
 
 
 
 
 
 
 
 
 
 
-1.5
0.0
0.0
 
2.0
0.2
0.0
 
-1.5
0.0
-0.1
 
2.1
0.2
0.0
 
-0.7
0.0
0.8
 
1.7
0.3
-0.3
Source: Calculations by the Ohio Regional Economic Analysis Project (OH-REAP)
with data provided by the U.S. Department of Commerce, Bureau of Economic Analysis
November 2018
REAP_PI_CA1600N_620200_610500_GB
 
   
Additional Notes on Interpreting
Earnings for Ohio
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 Ohio over 2017, and 2002-2017, respectively. When summed over all industries the component contribution will match Ohio's TOTAL earnings growth rate.
Copyright © 2019. Pacific Northwest Regional Economic Analysis Project (PNREAP). All Rights Reserved.

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