Finance and Insurance vs. Administrative and Waste Services
Employment Structure and Growth by County
Ohio, 2001-2017
Employment by County
Percent of Total Employment, 2017
Select a Year/Indicator:Percent of Total
Employment
Location
Quotients
Percent of Sector Total
Statewide
Employment by County
View Distribution Totals as:Actual Percent
   
 
Finance and Insurance vs. Administrative and Waste Services
Ohio Employment Distribution by County:
Percent of Total Employment, 2017
More
than
5.0%
5.0%
to
4.5%
4.5%
to
4.0%
4.0%
to
3.5%
3.5%
to
3.0%
3.0%
to
2.5%
2.5%
to
2.0%
2.0%
or
Below
Total
Finance and Insurance
13
3
4
11
16
24
13
4
88
Administrative and Waste Services
34
7
7
9
7
9
9
6
88
 
   
Select an alternate year:
   
 
Finance and Insurance vs. Administrative and Waste Services
Employment Structure by County:
Ohio, 2017
 
Finance and Insurance
 
Administrative and Waste Services
 
 
 
313
3.0
0.6
0.1
 
S
S
U
S
 
1,922
3.0
0.6
0.5
 
3,811
6.0
1.0
0.9
 
636
2.4
0.4
0.2
 
1,094
4.1
0.7
0.3
 
1,041
2.4
0.5
0.3
 
1,865
4.4
0.7
0.4
 
661
2.0
0.4
0.2
 
860
2.7
0.4
0.2
 
692
2.5
0.5
0.2
 
S
S
U
S
 
1,307
4.2
0.8
0.4
 
1,252
4.0
0.6
0.3
 
421
3.0
0.6
0.1
 
643
4.5
0.7
0.2
 
11,817
5.8
1.1
3.3
 
13,187
6.5
1.1
3.2
 
239
2.2
0.4
0.1
 
369
3.4
0.5
0.1
 
409
2.6
0.5
0.1
 
636
4.1
0.7
0.2
 
4,063
6.5
1.2
1.1
 
3,606
5.8
0.9
0.9
 
4,671
5.5
1.0
1.3
 
5,118
6.0
1.0
1.2
 
617
2.6
0.5
0.2
 
944
4.0
0.7
0.2
 
1,071
2.5
0.5
0.3
 
2,096
4.9
0.8
0.5
 
406
2.5
0.5
0.1
 
506
3.2
0.5
0.1
 
971
5.3
1.0
0.3
 
S
S
U
S
 
61,983
6.7
1.2
17.5
 
60,856
6.6
1.1
14.6
 
1,118
4.1
0.8
0.3
 
940
3.5
0.6
0.2
 
1,067
5.1
0.9
0.3
 
771
3.7
0.6
0.2
 
10,863
8.6
1.6
3.1
 
6,349
5.0
0.8
1.5
 
1,350
2.8
0.5
0.4
 
1,424
3.0
0.5
0.3
 
2,103
3.2
0.6
0.6
 
4,639
7.2
1.2
1.1
 
595
3.9
0.7
0.2
 
696
4.6
0.7
0.2
 
69,939
7.1
1.3
19.7
 
70,268
7.1
1.2
16.9
 
650
2.6
0.5
0.2
 
700
2.8
0.5
0.2
 
579
3.7
0.7
0.2
 
254
1.6
0.3
0.1
 
2,179
3.9
0.7
0.6
 
3,430
6.1
1.0
0.8
 
2,501
2.5
0.5
0.7
 
3,434
3.4
0.6
0.8
 
470
2.2
0.4
0.1
 
512
2.4
0.4
0.1
 
44,958
6.9
1.3
12.7
 
40,596
6.2
1.0
9.8
 
1,329
2.4
0.4
0.4
 
2,449
4.3
0.7
0.6
 
445
3.6
0.7
0.1
 
368
3.0
0.5
0.1
 
S
S
U
S
 
239
4.0
0.6
0.1
 
487
3.2
0.6
0.1
 
363
2.4
0.4
0.1
 
666
4.0
0.7
0.2
 
844
5.0
0.8
0.2
 
266
2.6
0.5
0.1
 
408
4.0
0.6
0.1
 
514
1.7
0.3
0.1
 
620
2.0
0.3
0.1
 
868
3.0
0.6
0.2
 
705
2.4
0.4
0.2
 
397
2.9
0.5
0.1
 
636
4.7
0.8
0.2
 
740
2.7
0.5
0.2
 
1,269
4.7
0.8
0.3
 
922
3.0
0.6
0.3
 
1,689
5.4
0.9
0.4
 
3,928
3.1
0.6
1.1
 
7,491
6.0
1.0
1.8
 
547
3.0
0.6
0.2
 
852
4.7
0.8
0.2
 
4,033
5.2
1.0
1.1
 
4,522
5.8
0.9
1.1
 
692
2.6
0.5
0.2
 
2,307
8.7
1.4
0.6
 
4,477
3.4
0.6
1.3
 
9,000
6.8
1.1
2.2
 
10,617
4.0
0.7
3.0
 
17,674
6.7
1.1
4.2
 
393
1.7
0.3
0.1
 
1,599
6.8
1.1
0.4
 
4,443
3.4
0.6
1.3
 
9,272
7.1
1.2
2.2
 
802
2.6
0.5
0.2
 
1,807
5.8
0.9
0.4
 
3,409
3.9
0.7
1.0
 
4,835
5.5
0.9
1.2
 
239
3.8
0.7
0.1
 
221
3.5
0.6
0.1
 
1,058
3.9
0.7
0.3
 
S
S
U
S
 
1,706
3.1
0.6
0.5
 
3,288
6.0
1.0
0.8
 
229
3.8
0.7
0.1
 
151
2.5
0.4
0.0
 
17,099
5.3
1.0
4.8
 
20,674
6.4
1.0
5.0
 
143
3.0
0.6
0.0
 
113
2.4
0.4
0.0
 
220
2.1
0.4
0.1
 
400
3.8
0.6
0.1
 
1,300
2.8
0.5
0.4
 
2,008
4.4
0.7
0.5
 
163
3.3
0.6
0.0
 
S
S
U
S
 
757
3.7
0.7
0.2
 
603
3.0
0.5
0.1
 
174
2.4
0.4
0.0
 
152
2.1
0.3
0.0
 
306
2.9
0.5
0.1
 
389
3.7
0.6
0.1
 
640
3.1
0.6
0.2
 
1,106
5.4
0.9
0.3
 
432
3.3
0.6
0.1
 
2,197
16.7
2.7
0.5
 
2,028
2.5
0.5
0.6
 
2,906
3.7
0.6
0.7
 
421
2.6
0.5
0.1
 
524
3.2
0.5
0.1
 
861
4.9
0.9
0.2
 
675
3.8
0.6
0.2
 
1,982
3.1
0.6
0.6
 
4,911
7.6
1.2
1.2
 
847
2.3
0.4
0.2
 
1,449
3.9
0.6
0.3
 
929
2.8
0.5
0.3
 
1,050
3.1
0.5
0.3
 
975
3.1
0.6
0.3
 
799
2.5
0.4
0.2
 
900
3.3
0.6
0.3
 
769
2.9
0.5
0.2
 
763
2.3
0.4
0.2
 
1,782
5.3
0.9
0.4
 
9,570
4.5
0.8
2.7
 
12,020
5.7
0.9
2.9
 
17,447
5.0
0.9
4.9
 
23,594
6.7
1.1
5.7
 
3,258
3.5
0.7
0.9
 
5,743
6.2
1.0
1.4
 
1,526
3.0
0.6
0.4
 
2,460
4.8
0.8
0.6
 
1,056
2.5
0.5
0.3
 
7,554
18.0
2.9
1.8
 
908
6.0
1.1
0.3
 
840
5.6
0.9
0.2
 
S
S
U
S
 
71
2.0
0.3
0.0
 
7,338
5.9
1.1
2.1
 
7,449
5.9
1.0
1.8
 
1,430
4.1
0.8
0.4
 
1,028
2.9
0.5
0.2
 
2,153
3.1
0.6
0.6
 
1,901
2.7
0.4
0.5
 
532
2.3
0.4
0.2
 
569
2.5
0.4
0.1
 
2,504
2.9
0.5
0.7
 
4,504
5.2
0.8
1.1
 
428
3.4
0.6
0.1
 
416
3.4
0.5
0.1
 
 
 
 
 
 
 
 
 
 
 
 
354,229
5.1
0.9
100.0
 
416,119
5.9
1.0
100.0
 
317,623
5.5
1.0
89.7
 
369,718
6.4
1.0
88.8
 
36,606
3.0
0.6
10.3
 
46,401
3.8
0.6
11.2
 
 
 
 
 
 
 
 
 
 
 
 
10,510,200
5.4
1.0
 
12,088,500
6.2
1.0
 
9,710,251
5.6
1.1
 
11,126,884
6.5
1.0
 
799,949
3.4
0.6
 
961,616
4.0
0.7
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_CA1500N_511000_511400_SA
 
   
Select an alternate year:
   
 
Finance and Insurance vs. Administrative and Waste Services
Employment Structure by Region:
Ohio, 2017
 
Finance and Insurance
 
Administrative and Waste Services
Metropolitan Statistical Areas
 
 
 
19,475
4.5
0.8
5.5
 
26,500
6.2
1.0
6.4
 
9,809
4.4
0.8
2.8
 
12,389
5.6
0.9
3.0
 
S
S
U
S
 
83,397
6.1
1.0
20.0
 
75,976
5.7
1.1
21.4
 
85,612
6.4
1.0
20.6
 
89,819
6.6
1.2
25.4
 
97,234
7.1
1.2
23.4
 
21,306
4.4
0.8
6.0
 
27,396
5.7
0.9
6.6
 
4,678
2.8
0.5
1.3
 
S
S
U
S
 
1,922
3.0
0.6
0.5
 
3,811
6.0
1.0
0.9
 
1,982
3.1
0.6
0.6
 
4,911
7.6
1.2
1.2
 
4,063
6.5
1.2
1.1
 
3,606
5.8
0.9
0.9
 
13,771
3.7
0.7
3.9
 
22,878
6.1
1.0
5.5
 
1,461
2.9
0.6
0.4
 
S
S
U
S
 
3,186
3.9
0.7
0.9
 
4,000
4.9
0.8
1.0
 
10,476
3.7
0.7
3.0
 
17,420
6.1
1.0
4.2
 
 
 
 
 
 
 
 
 
 
 
 
354,229
5.1
0.9
100.0
 
416,119
5.9
1.0
100.0
 
317,623
5.5
1.0
89.7
 
369,718
6.4
1.0
88.8
 
36,606
3.0
0.6
10.3
 
46,401
3.8
0.6
11.2
 
 
 
 
 
 
 
 
 
 
 
 
10,510,200
5.4
1.0
 
12,088,500
6.2
1.0
 
9,710,251
5.6
1.1
 
11,126,884
6.5
1.0
 
799,949
3.4
0.6
 
961,616
4.0
0.7
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_CA1500N_511000_511400_SB
 
   
Employment Growth by County
Growth Rates, 2017
Select a Year/Indicator:Growth RatesComponent Contributions
Employment Growth by County
View Distribution Totals as:Actual Percent
   
 
Finance and Insurance vs. Administrative and Waste Services
Ohio Employment Growth Distribution by County:
Growth Rates, 2017
More
than
5%
5%
to
4%
4%
to
3%
3%
to
2%
2%
to
1%
1%
to
0%
0%
to
-1%
-1%
or
Below
Total
Finance and Insurance
9
11
9
19
15
5
10
10
88
Administrative and Waste Services
20
3
4
5
6
2
3
45
88
 
   
Select an alternate year:
   
 
Finance and Insurance vs. Administrative and Waste Services
Employment Growth by County:
Ohio, 2017
 
Finance and Insurance
 
Administrative and Waste Services
 
 
 
4.3
0.1
1.2
0.8
 
S
S
S
S
 
2.5
0.1
-0.7
-1.0
 
-2.6
-0.2
-3.0
-1.4
 
1.6
0.0
-1.6
-2.0
 
0.0
0.0
-0.5
1.1
 
2.1
0.0
-1.1
-1.5
 
4.0
0.2
3.6
5.2
 
2.5
0.1
-0.7
-1.1
 
7.8
0.2
7.3
8.9
 
1.6
0.0
-1.6
-1.9
 
S
S
S
S
 
-1.8
-0.1
-5.0
-5.4
 
-1.5
-0.1
-2.0
-0.3
 
2.4
0.1
-0.7
-1.1
 
-6.1
-0.3
-6.6
-5.0
 
-1.9
-0.1
-5.1
-5.5
 
-3.5
-0.2
-3.9
-2.3
 
5.8
0.1
2.6
2.2
 
4.8
0.2
4.4
6.0
 
0.2
0.0
-2.9
-3.3
 
3.4
0.1
3.0
4.6
 
4.3
0.3
1.1
0.7
 
5.0
0.3
4.5
6.1
 
0.4
0.0
-2.7
-3.1
 
-6.5
-0.4
-7.0
-5.4
 
3.0
0.1
-0.2
-0.5
 
-7.1
-0.3
-7.5
-5.9
 
2.5
0.1
-0.7
-1.1
 
2.2
0.1
1.8
3.4
 
1.2
0.0
-1.9
-2.3
 
0.2
0.0
-0.3
1.3
 
3.4
0.2
0.2
-0.1
 
S
S
S
S
 
4.1
0.3
0.9
0.6
 
-0.6
0.0
-1.0
0.6
 
1.5
0.1
-1.7
-2.1
 
-1.5
-0.1
-1.9
-0.3
 
4.2
0.2
1.0
0.7
 
-1.4
-0.1
-1.9
-0.3
 
6.6
0.5
3.5
3.1
 
1.3
0.1
0.9
2.5
 
5.6
0.1
2.4
2.0
 
-2.9
-0.1
-3.3
-1.7
 
4.1
0.1
0.9
0.5
 
-1.0
-0.1
-1.5
0.1
 
-2.8
-0.1
-5.9
-6.3
 
7.2
0.3
6.8
8.4
 
3.2
0.2
0.1
-0.3
 
-3.8
-0.3
-4.2
-2.6
 
2.8
0.1
-0.3
-0.7
 
-4.1
-0.1
-4.6
-3.0
 
2.8
0.1
-0.3
-0.7
 
-52.8
-1.8
-53.2
-51.6
 
2.5
0.1
-0.7
-1.1
 
-2.7
-0.2
-3.2
-1.5
 
7.1
0.2
3.9
3.6
 
-9.5
-0.4
-10.0
-8.4
 
13.0
0.3
9.8
9.4
 
-13.1
-0.4
-13.5
-11.9
 
7.7
0.5
4.6
4.2
 
3.5
0.2
3.0
4.6
 
1.7
0.0
-1.5
-1.9
 
-6.8
-0.3
-7.2
-5.6
 
4.0
0.1
0.8
0.4
 
28.2
0.7
27.8
29.4
 
S
S
S
S
 
39.0
1.2
38.5
40.1
 
2.3
0.1
-0.9
-1.2
 
-9.3
-0.2
-9.7
-8.1
 
4.4
0.2
1.2
0.8
 
6.0
0.3
5.6
7.2
 
-9.8
-0.3
-13.0
-13.4
 
-1.4
-0.1
-1.9
-0.3
 
0.8
0.0
-2.4
-2.8
 
-3.0
-0.1
-3.4
-1.8
 
2.0
0.1
-1.2
-1.6
 
10.3
0.2
9.9
11.5
 
0.0
0.0
-3.2
-3.5
 
25.2
1.0
24.7
26.3
 
-0.4
0.0
-3.6
-4.0
 
10.8
0.5
10.4
12.0
 
1.2
0.0
-2.0
-2.3
 
2.7
0.1
2.2
3.8
 
1.7
0.1
-1.5
-1.8
 
1.0
0.1
0.6
2.2
 
3.8
0.1
0.6
0.2
 
28.3
1.0
27.9
29.5
 
-0.8
0.0
-3.9
-4.3
 
-3.7
-0.2
-4.2
-2.6
 
3.3
0.1
0.1
-0.3
 
-6.9
-0.6
-7.4
-5.8
 
-1.0
0.0
-4.1
-4.5
 
5.5
0.4
5.1
6.7
 
2.6
0.1
-0.5
-0.9
 
-3.6
-0.2
-4.0
-2.4
 
-1.8
0.0
-4.9
-5.3
 
22.6
1.3
22.2
23.8
 
-0.8
0.0
-4.0
-4.4
 
-11.9
-1.0
-12.3
-10.7
 
1.9
0.0
-1.3
-1.6
 
11.8
0.6
11.4
13.0
 
4.3
0.2
1.1
0.7
 
2.2
0.1
1.8
3.4
 
4.8
0.2
1.7
1.3
 
-2.6
-0.1
-3.1
-1.5
 
-1.5
-0.1
-4.7
-5.0
 
S
S
S
S
 
1.7
0.1
-1.4
-1.8
 
-1.2
-0.1
-1.6
0.0
 
1.3
0.1
-1.8
-2.2
 
16.2
0.4
15.7
17.3
 
9.2
0.4
6.0
5.6
 
-3.0
-0.2
-3.5
-1.9
 
1.4
0.0
-1.8
-2.1
 
6.6
0.2
6.1
7.7
 
2.8
0.1
-0.4
-0.7
 
-2.0
-0.1
-2.4
-0.8
 
1.5
0.0
-1.7
-2.1
 
-8.7
-0.4
-9.2
-7.6
 
0.0
0.0
-3.2
-3.5
 
S
S
S
S
 
1.3
0.0
-1.8
-2.2
 
2.2
0.1
1.7
3.3
 
-0.6
0.0
-3.7
-4.1
 
3.4
0.1
2.9
4.5
 
-1.6
0.0
-4.8
-5.2
 
-10.2
-0.4
-10.6
-9.0
 
2.2
0.1
-0.9
-1.3
 
3.5
0.2
3.0
4.6
 
2.6
0.1
-0.6
-0.9
 
2.0
0.3
1.5
3.1
 
4.4
0.1
1.2
0.8
 
-2.3
-0.1
-2.7
-1.1
 
2.4
0.1
-0.7
-1.1
 
1.9
0.1
1.5
3.1
 
2.6
0.1
-0.5
-0.9
 
1.0
0.0
0.6
2.2
 
1.5
0.0
-1.7
-2.1
 
-6.4
-0.5
-6.9
-5.3
 
3.9
0.1
0.8
0.4
 
6.1
0.2
5.6
7.2
 
-0.3
0.0
-3.5
-3.9
 
-6.9
-0.2
-7.4
-5.8
 
0.2
0.0
-3.0
-3.3
 
-11.2
-0.3
-11.7
-10.1
 
4.0
0.1
0.9
0.5
 
5.5
0.1
5.0
6.6
 
5.1
0.1
1.9
1.5
 
-3.3
-0.2
-3.8
-2.2
 
-0.7
0.0
-3.9
-4.3
 
7.7
0.4
7.2
8.8
 
2.2
0.1
-1.0
-1.3
 
0.9
0.1
0.4
2.0
 
2.9
0.1
-0.3
-0.7
 
-2.9
-0.2
-3.4
-1.8
 
3.5
0.1
0.4
0.0
 
1.2
0.1
0.7
2.3
 
5.0
0.1
1.8
1.4
 
6.9
1.2
6.4
8.0
 
3.7
0.2
0.5
0.1
 
5.7
0.3
5.2
6.8
 
S
S
S
S
 
-5.3
-0.1
-5.8
-4.2
 
-0.3
0.0
-3.4
-3.8
 
-10.8
-0.7
-11.2
-9.6
 
0.4
0.0
-2.7
-3.1
 
-0.8
0.0
-1.2
0.4
 
2.4
0.1
-0.8
-1.2
 
-5.8
-0.2
-6.3
-4.7
 
2.5
0.1
-0.7
-1.0
 
-8.2
-0.2
-8.7
-7.1
 
5.0
0.1
1.9
1.5
 
2.2
0.1
1.8
3.4
 
-5.9
-0.2
-9.1
-9.5
 
5.1
0.2
4.6
6.2
 
 
 
 
 
 
 
 
 
 
 
 
3.5
0.2
0.4
0.0
 
-1.1
-0.1
-1.6
0.0
 
3.7
0.2
0.5
0.2
 
-1.2
-0.1
-1.6
0.0
 
2.2
0.1
-1.0
-1.3
 
-1.0
0.0
-1.5
0.1
 
 
 
 
 
 
 
 
 
 
 
 
3.2
0.2
0.0
 
0.5
0.0
0.0
 
3.2
0.2
0.1
 
0.6
0.0
0.1
 
2.3
0.1
-0.9
 
-0.8
0.0
-1.2
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_CA1500N_511000_511400_GA
 
   
Select an alternate year:
   
 
Finance and Insurance vs. Administrative and Waste Services
Employment Growth by Region:
Ohio, 2017
 
Finance and Insurance
 
Administrative and Waste Services
Metropolitan Statistical Areas
 
 
 
2.4
0.1
-0.7
-1.1
 
0.5
0.0
0.1
1.7
 
-0.6
0.0
-3.8
-4.1
 
7.6
0.4
7.2
8.8
 
S
S
S
S
 
0.6
0.0
0.1
1.7
 
3.6
0.2
0.5
0.1
 
0.2
0.0
-0.2
1.4
 
3.4
0.2
0.2
-0.2
 
-2.2
-0.2
-2.6
-1.0
 
8.3
0.3
5.1
4.7
 
-3.7
-0.2
-4.1
-2.5
 
-0.9
0.0
-4.1
-4.5
 
S
S
S
S
 
2.5
0.1
-0.7
-1.0
 
-2.6
-0.2
-3.0
-1.4
 
1.5
0.0
-1.7
-2.1
 
-6.4
-0.5
-6.9
-5.3
 
4.3
0.3
1.1
0.7
 
5.0
0.3
4.5
6.1
 
3.1
0.1
-0.1
-0.5
 
-2.5
-0.2
-2.9
-1.3
 
2.7
0.1
-0.4
-0.8
 
S
S
S
S
 
3.1
0.1
-0.1
-0.4
 
0.5
0.0
0.0
1.6
 
1.3
0.0
-1.9
-2.3
 
-7.8
-0.5
-8.3
-6.7
 
 
 
 
 
 
 
 
 
 
 
 
3.5
0.2
0.4
0.0
 
-1.1
-0.1
-1.6
0.0
 
3.7
0.2
0.5
0.2
 
-1.2
-0.1
-1.6
0.0
 
2.2
0.1
-1.0
-1.3
 
-1.0
0.0
-1.5
0.1
 
 
 
 
 
 
 
 
 
 
 
 
3.2
0.2
0.0
 
0.5
0.0
0.0
 
3.2
0.2
0.1
 
0.6
0.0
0.1
 
2.3
0.1
-0.9
 
-0.8
0.0
-1.2
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_CA1500N_511000_511400_GB
 
   
Additional Notes on Interpreting
Employment for Ohio
Employment
The employment estimates compiled by the Bureau of Economic Analysis (BEA) measure the number of full- and part-time employees, plus the number of proprietors of unincorporated businesses. People holding more than one job are counted in the employment estimates for each job they hold. This means BEA employment estimates represent a job count, not a number-of-people employed count. Also, BEA employment is by place-of-work, rather than by place-of-residence. Therefore, the jobs held by residents living outside Ohio but who commute to work in Ohio are included in the employment (or job) count for Ohio.
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 employment 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 employment in Ohio over 2017, and 2002-2017, respectively. When summed over all industries the component contribution will match Ohio's TOTAL employment growth rate.
Copyright © 2019. Pacific Northwest Regional Economic Analysis Project (PNREAP). All Rights Reserved.

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