Educational Services vs. Real Estate and Rental and Leasing
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
   
 
Educational Services vs. Real Estate and Rental and Leasing
Ohio Earnings Distribution by County:
Percent of Total Earnings, 2017
More
than
3.0%
3.0%
to
2.5%
2.5%
to
2.0%
2.0%
to
1.5%
1.5%
to
1.0%
1.0%
to
0.5%
0.5%
or
Below
Suppressed
or
Undefined
Total
Educational Services
2
1
4
4
8
10
34
25
88
Real Estate and Rental and Leasing
4
3
8
23
31
15
2
2
88
 
   
Select an alternate year:
   
 
Educational Services vs. Real Estate and Rental and Leasing
Earnings Structure by County:
Ohio, 2017
 
Educational Services
 
Real Estate and Rental and Leasing
 
 
 
1,015
0.2
0.1
0.0
 
1,941
0.5
0.2
0.0
 
53,307
1.6
0.9
1.0
 
42,148
1.3
0.5
0.6
 
S
S
U
S
 
15,405
1.4
0.5
0.2
 
8,303
0.5
0.3
0.2
 
18,165
1.0
0.4
0.3
 
3,366
0.2
0.1
0.1
 
22,446
1.5
0.6
0.3
 
3,123
0.2
0.1
0.1
 
53,563
3.9
1.5
0.8
 
6,588
0.5
0.3
0.1
 
27,983
2.0
0.8
0.4
 
4,600
0.9
0.5
0.1
 
7,140
1.4
0.5
0.1
 
56,909
0.5
0.3
1.1
 
177,710
1.5
0.6
2.7
 
28
0.0
0.0
0.0
 
10,019
2.1
0.8
0.2
 
9,796
1.4
0.8
0.2
 
6,462
0.9
0.4
0.1
 
41,894
1.4
0.8
0.8
 
39,248
1.4
0.5
0.6
 
20,947
0.4
0.3
0.4
 
99,181
2.0
0.8
1.5
 
S
S
U
S
 
50,293
3.6
1.4
0.8
 
6,369
0.4
0.2
0.1
 
15,318
0.9
0.3
0.2
 
4,031
0.6
0.4
0.1
 
5,752
0.9
0.3
0.1
 
S
S
U
S
 
12,858
1.7
0.6
0.2
 
1,217,053
2.0
1.2
23.5
 
838,670
1.4
0.5
12.7
 
2,257
0.2
0.1
0.0
 
12,100
1.1
0.4
0.2
 
S
S
U
S
 
13,508
1.3
0.5
0.2
 
81,562
1.1
0.6
1.6
 
188,962
2.5
1.0
2.9
 
10,408
0.3
0.2
0.2
 
35,840
1.0
0.4
0.5
 
13,638
0.5
0.3
0.3
 
60,334
2.2
0.8
0.9
 
S
S
U
S
 
8,187
1.3
0.5
0.1
 
887,202
1.5
0.9
17.1
 
688,649
1.1
0.4
10.5
 
S
S
U
S
 
16,333
1.4
0.5
0.2
 
S
S
U
S
 
9,453
1.5
0.6
0.1
 
32,303
1.2
0.7
0.6
 
28,662
1.1
0.4
0.4
 
120,477
1.9
1.1
2.3
 
73,253
1.2
0.4
1.1
 
2,320
0.2
0.1
0.0
 
7,978
0.8
0.3
0.1
 
569,031
1.3
0.8
11.0
 
1,089,195
2.5
1.0
16.6
 
67,673
1.9
1.1
1.3
 
57,117
1.6
0.6
0.9
 
S
S
U
S
 
5,831
1.2
0.5
0.1
 
297
0.1
0.1
0.0
 
7,284
2.5
1.0
0.1
 
1,206
0.2
0.1
0.0
 
9,237
1.3
0.5
0.1
 
S
S
U
S
 
8,543
1.3
0.5
0.1
 
1,553
0.4
0.2
0.0
 
8,315
2.1
0.8
0.1
 
S
S
U
S
 
18,930
1.2
0.5
0.3
 
8,128
0.6
0.3
0.2
 
28,220
2.0
0.8
0.4
 
S
S
U
S
 
3,474
0.6
0.2
0.1
 
S
S
U
S
 
17,895
1.4
0.5
0.3
 
90,825
6.6
3.9
1.8
 
18,562
1.3
0.5
0.3
 
67,701
1.1
0.6
1.3
 
97,823
1.5
0.6
1.5
 
2,242
0.3
0.2
0.0
 
13,020
1.8
0.7
0.2
 
83,469
2.4
1.4
1.6
 
70,859
2.0
0.8
1.1
 
1,145
0.1
0.1
0.0
 
16,902
1.3
0.5
0.3
 
167,698
2.6
1.5
3.2
 
104,655
1.6
0.6
1.6
 
148,095
1.0
0.6
2.9
 
645,692
4.3
1.7
9.8
 
S
S
U
S
 
11,888
1.0
0.4
0.2
 
28,771
0.5
0.3
0.6
 
102,093
1.8
0.7
1.6
 
2,549
0.2
0.1
0.0
 
25,461
1.6
0.6
0.4
 
23,484
0.6
0.3
0.5
 
84,528
2.0
0.8
1.3
 
S
S
U
S
 
2,646
1.3
0.5
0.0
 
S
S
U
S
 
36,263
2.9
1.1
0.6
 
10,110
0.4
0.2
0.2
 
37,745
1.5
0.6
0.6
 
S
S
U
S
 
2,188
1.4
0.5
0.0
 
409,568
2.3
1.3
7.9
 
192,065
1.1
0.4
2.9
 
24
0.0
0.0
0.0
 
491
0.3
0.1
0.0
 
827
0.2
0.1
0.0
 
6,307
1.7
0.7
0.1
 
S
S
U
S
 
25,786
1.3
0.5
0.4
 
154
0.1
0.0
0.0
 
S
S
U
S
 
S
S
U
S
 
16,211
1.8
0.7
0.2
 
S
S
U
S
 
2,180
0.8
0.3
0.0
 
S
S
U
S
 
3,582
0.8
0.3
0.1
 
S
S
U
S
 
9,791
0.9
0.4
0.1
 
S
S
U
S
 
4,107
0.6
0.2
0.1
 
32,105
0.9
0.5
0.6
 
48,544
1.3
0.5
0.7
 
797
0.1
0.1
0.0
 
7,074
1.1
0.4
0.1
 
S
S
U
S
 
12,105
1.7
0.6
0.2
 
15,065
0.5
0.3
0.3
 
25,137
0.9
0.3
0.4
 
2,996
0.2
0.1
0.1
 
9,310
0.5
0.2
0.1
 
S
S
U
S
 
26,872
1.7
0.7
0.4
 
5,668
0.4
0.2
0.1
 
19,159
1.3
0.5
0.3
 
57,471
5.1
3.0
1.1
 
12,797
1.1
0.4
0.2
 
5,331
0.3
0.2
0.1
 
30,641
1.5
0.6
0.5
 
144,648
1.5
0.9
2.8
 
182,805
1.8
0.7
2.8
 
179,956
0.9
0.5
3.5
 
240,683
1.2
0.5
3.7
 
25,633
0.6
0.3
0.5
 
201,589
4.5
1.7
3.1
 
6,777
0.3
0.2
0.1
 
47,737
1.9
0.7
0.7
 
3,572
0.1
0.1
0.1
 
25,051
0.9
0.4
0.4
 
987
0.2
0.1
0.0
 
12,279
1.9
0.7
0.2
 
171
0.1
0.1
0.0
 
S
S
U
S
 
25,733
0.4
0.2
0.5
 
104,115
1.5
0.6
1.6
 
29,047
1.7
1.0
0.6
 
28,595
1.7
0.6
0.4
 
72,629
2.1
1.2
1.4
 
54,471
1.6
0.6
0.8
 
3,198
0.3
0.2
0.1
 
17,457
1.6
0.6
0.3
 
22,602
0.5
0.3
0.4
 
91,859
2.1
0.8
1.4
 
S
S
U
S
 
5,372
0.9
0.4
0.1
 
 
 
 
 
 
 
 
 
 
 
 
5,175,456
1.3
0.8
100.0
 
6,578,496
1.7
0.6
100.0
 
4,547,560
1.4
0.8
87.9
 
5,713,528
1.7
0.7
86.9
 
627,896
1.1
0.6
12.1
 
864,968
1.5
0.6
13.1
 
 
 
 
 
 
 
 
 
 
 
 
202,201,000
1.7
1.0
 
308,630,000
2.6
1.0
 
191,370,702
1.8
1.0
 
291,772,465
2.7
1.0
 
10,830,298
1.0
0.6
 
16,857,535
1.6
0.6
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_611500_611100_SA
 
   
Select an alternate year:
   
 
Educational Services vs. Real Estate and Rental and Leasing
Earnings Structure by Region:
Ohio, 2017
 
Educational Services
 
Real Estate and Rental and Leasing
Metropolitan Statistical Areas
 
 
 
212,061
0.9
0.5
4.1
 
289,227
1.3
0.5
4.4
 
144,676
1.4
0.8
2.8
 
192,824
1.9
0.7
2.9
 
785,692
1.0
0.6
15.2
 
1,715,153
2.1
0.8
26.1
 
1,508,239
1.9
1.1
29.1
 
1,154,338
1.5
0.6
17.5
 
1,078,307
1.3
0.8
20.8
 
1,073,738
1.3
0.5
16.3
 
540,155
2.0
1.2
10.4
 
303,063
1.1
0.4
4.6
 
S
S
U
S
 
138,462
1.7
0.7
2.1
 
53,307
1.6
0.9
1.0
 
42,148
1.3
0.5
0.6
 
15,065
0.5
0.3
0.3
 
25,137
0.9
0.3
0.4
 
41,894
1.4
0.8
0.8
 
39,248
1.4
0.5
0.6
 
S
S
U
S
 
753,884
3.6
1.4
11.5
 
53,633
2.3
1.4
1.0
 
37,476
1.6
0.6
0.6
 
S
S
U
S
 
49,214
1.1
0.4
0.7
 
119,813
0.9
0.5
2.3
 
339,775
2.6
1.0
5.2
 
 
 
 
 
 
 
 
 
 
 
 
5,175,456
1.3
0.8
100.0
 
6,578,496
1.7
0.6
100.0
 
4,547,560
1.4
0.8
87.9
 
5,713,528
1.7
0.7
86.9
 
627,896
1.1
0.6
12.1
 
864,968
1.5
0.6
13.1
 
 
 
 
 
 
 
 
 
 
 
 
202,201,000
1.7
1.0
 
308,630,000
2.6
1.0
 
191,370,702
1.8
1.0
 
291,772,465
2.7
1.0
 
10,830,298
1.0
0.6
 
16,857,535
1.6
0.6
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_611500_611100_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
   
 
Educational Services vs. Real Estate and Rental and Leasing
Ohio Real* Earnings Growth Distribution by County:
Growth Rates, 2017
More
than
40%
40%
to
30%
30%
to
20%
20%
to
10%
10%
to
0%
0%
to
-10%
-10%
or
Below
Suppressed
or
Undefined
Total
Educational Services
1
0
1
3
12
36
8
27
88
Real Estate and Rental and Leasing
2
3
2
6
35
30
8
2
88
 
   
Select an alternate year:
   
 
Educational Services vs. Real Estate and Rental and Leasing
Real* Earnings Growth by County:
Ohio, 2017
 
Educational Services
 
Real Estate and Rental and Leasing
 
 
 
51.4
0.1
52.8
54.3
 
30.9
0.1
28.0
27.2
 
-6.7
-0.1
-5.3
-3.7
 
0.9
0.0
-2.0
-2.8
 
N
N
N
N
 
3.0
0.0
0.1
-0.6
 
-4.4
0.0
-3.0
-1.5
 
-3.5
0.0
-6.4
-7.1
 
1.5
0.0
2.9
4.4
 
-2.2
0.0
-5.1
-5.8
 
-1.1
0.0
0.3
1.9
 
14.3
0.5
11.3
10.6
 
-2.6
0.0
-1.2
0.3
 
3.7
0.1
0.8
0.1
 
14.5
0.1
15.9
17.4
 
4.2
0.1
1.3
0.6
 
1.6
0.0
3.0
4.5
 
7.6
0.1
4.7
4.0
 
-76.3
0.0
-74.9
-73.3
 
-4.5
-0.1
-7.4
-8.1
 
N
N
N
N
 
-0.6
0.0
-3.5
-4.3
 
-2.9
0.0
-1.5
0.1
 
-1.0
0.0
-3.9
-4.6
 
-1.4
0.0
0.0
1.5
 
3.3
0.1
0.3
-0.4
 
N
N
N
N
 
7.0
0.2
4.1
3.3
 
-4.7
0.0
-3.3
-1.7
 
-23.7
-0.3
-26.6
-27.4
 
4.2
0.0
5.6
7.1
 
-9.3
-0.1
-12.2
-13.0
 
N
N
N
N
 
1.3
0.0
-1.6
-2.4
 
-3.1
-0.1
-1.7
-0.1
 
4.1
0.1
1.1
0.4
 
4.7
0.0
6.1
7.6
 
7.6
0.1
4.7
3.9
 
N
N
N
N
 
1.1
0.0
-1.9
-2.6
 
-5.0
-0.1
-3.6
-2.1
 
4.0
0.1
1.1
0.4
 
-6.0
0.0
-4.6
-3.0
 
-1.5
0.0
-4.5
-5.2
 
-2.6
0.0
-1.2
0.3
 
6.5
0.1
3.6
2.8
 
N
N
N
N
 
-5.5
-0.1
-8.4
-9.2
 
1.2
0.0
2.6
4.2
 
-0.1
0.0
-3.0
-3.7
 
N
N
N
N
 
-4.6
-0.1
-7.5
-8.3
 
N
N
N
N
 
-5.1
-0.1
-8.1
-8.8
 
0.2
0.0
1.6
3.2
 
-17.9
-0.2
-20.9
-21.6
 
-6.3
-0.1
-4.9
-3.3
 
9.6
0.1
6.6
5.9
 
10.0
0.0
11.4
12.9
 
-30.0
-0.4
-32.9
-33.7
 
-4.4
-0.1
-3.0
-1.5
 
8.1
0.2
5.2
4.4
 
-8.3
-0.2
-6.9
-5.4
 
9.2
0.1
6.3
5.5
 
N
N
N
N
 
-4.6
-0.1
-7.5
-8.3
 
11.0
0.0
12.4
13.9
 
10.3
0.3
7.3
6.6
 
-2.0
0.0
-0.6
1.0
 
0.6
0.0
-2.4
-3.1
 
N
N
N
N
 
8.9
0.1
6.0
5.3
 
-9.2
0.0
-7.8
-6.2
 
3.2
0.1
0.2
-0.5
 
N
N
N
N
 
-9.1
-0.1
-12.0
-12.8
 
-5.0
0.0
-3.6
-2.0
 
4.9
0.1
2.0
1.3
 
N
N
N
N
 
-8.8
-0.1
-11.8
-12.5
 
N
N
N
N
 
31.1
0.3
28.2
27.4
 
-4.7
-0.3
-3.3
-1.8
 
6.6
0.1
3.7
2.9
 
-6.3
-0.1
-4.9
-3.4
 
16.2
0.2
13.3
12.5
 
-14.0
-0.1
-12.6
-11.1
 
35.6
0.5
32.7
32.0
 
2.4
0.1
3.8
5.3
 
14.0
0.2
11.1
10.3
 
-3.1
0.0
-1.7
-0.1
 
-3.2
0.0
-6.1
-6.8
 
-3.8
-0.1
-2.4
-0.9
 
7.8
0.1
4.8
4.1
 
-2.9
0.0
-1.5
0.1
 
-0.6
0.0
-3.6
-4.3
 
N
N
N
N
 
0.8
0.0
-2.1
-2.9
 
-18.2
-0.1
-16.8
-15.2
 
-12.4
-0.2
-15.3
-16.0
 
-3.8
0.0
-2.4
-0.9
 
126.4
0.9
123.5
122.8
 
-2.0
0.0
-0.6
0.9
 
-3.4
-0.1
-6.4
-7.1
 
N
N
N
N
 
63.2
0.5
60.3
59.6
 
N
N
N
N
 
5.7
0.2
2.8
2.1
 
-6.4
0.0
-5.0
-3.5
 
5.4
0.1
2.5
1.7
 
N
N
N
N
 
26.2
0.3
23.2
22.5
 
-0.7
0.0
0.7
2.2
 
2.2
0.0
-0.7
-1.5
 
-68.1
0.0
-66.7
-65.2
 
-37.7
-0.2
-40.7
-41.4
 
N
N
N
N
 
6.0
0.1
3.0
2.3
 
N
N
N
N
 
-1.0
0.0
-4.0
-4.7
 
5.1
0.0
6.5
8.0
 
N
N
N
N
 
N
N
N
N
 
-2.5
0.0
-5.4
-6.2
 
N
N
N
N
 
-15.0
-0.1
-18.0
-18.7
 
N
N
N
N
 
-0.7
0.0
-3.6
-4.4
 
N
N
N
N
 
5.4
0.1
2.5
1.7
 
N
N
N
N
 
-9.2
-0.1
-12.1
-12.8
 
-5.7
-0.1
-4.2
-2.7
 
0.7
0.0
-2.2
-2.9
 
29.9
0.0
31.3
32.8
 
4.6
0.0
1.7
1.0
 
N
N
N
N
 
2.1
0.0
-0.9
-1.6
 
-9.3
-0.1
-7.9
-6.4
 
-8.5
-0.1
-11.4
-12.2
 
-31.1
-0.1
-29.7
-28.1
 
-4.2
0.0
-7.1
-7.8
 
N
N
N
N
 
-1.1
0.0
-4.1
-4.8
 
-14.0
-0.1
-12.6
-11.0
 
-2.6
0.0
-5.6
-6.3
 
-2.0
-0.1
-0.6
0.9
 
9.8
0.1
6.9
6.2
 
-1.2
0.0
0.2
1.8
 
-1.9
0.0
-4.8
-5.6
 
-4.1
-0.1
-2.7
-1.2
 
-1.9
0.0
-4.9
-5.6
 
-6.3
-0.1
-4.9
-3.3
 
-0.5
0.0
-3.4
-4.2
 
-12.2
-0.1
-10.8
-9.2
 
25.2
0.9
22.2
21.5
 
1.5
0.0
2.9
4.4
 
-12.4
-0.3
-15.3
-16.1
 
2.3
0.0
3.7
5.3
 
9.8
0.1
6.8
6.1
 
-7.3
0.0
-5.9
-4.3
 
9.0
0.2
6.1
5.3
 
16.7
0.0
18.1
19.6
 
N
N
N
N
 
-4.6
0.0
-3.2
-1.7
 
16.2
0.2
13.3
12.5
 
-11.6
-0.2
-10.2
-8.6
 
-10.3
-0.2
-13.2
-13.9
 
-3.2
-0.1
-1.8
-0.2
 
-1.4
0.0
-4.3
-5.1
 
-6.5
0.0
-5.1
-3.6
 
17.6
0.2
14.6
13.9
 
1.0
0.0
2.4
4.0
 
5.1
0.1
2.2
1.5
 
N
N
N
N
 
-8.0
-0.1
-10.9
-11.6
 
 
 
 
 
 
 
 
 
 
 
 
-3.0
0.0
-1.6
0.0
 
3.7
0.1
0.7
0.0
 
-2.6
0.0
-1.2
0.3
 
4.0
0.1
1.1
0.3
 
-5.1
-0.1
-3.7
-2.2
 
1.6
0.0
-1.3
-2.0
 
 
 
 
 
 
 
 
 
 
 
 
-1.4
0.0
0.0
 
2.9
0.1
0.0
 
-1.3
0.0
0.1
 
3.2
0.1
0.3
 
-3.0
0.0
-1.6
 
-1.4
0.0
-4.4
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_611500_611100_GA
 
   
Select an alternate year:
   
 
Educational Services vs. Real Estate and Rental and Leasing
Real* Earnings Growth by Region:
Ohio, 2017
 
Educational Services
 
Real Estate and Rental and Leasing
Metropolitan Statistical Areas
 
 
 
-6.2
-0.1
-4.8
-3.2
 
-0.3
0.0
-3.2
-4.0
 
-4.2
-0.1
-2.8
-1.2
 
-2.1
0.0
-5.0
-5.8
 
-3.8
0.0
-2.4
-0.9
 
N
N
N
N
 
-3.2
-0.1
-1.8
-0.3
 
4.0
0.1
1.1
0.3
 
0.8
0.0
2.2
3.7
 
2.2
0.0
-0.8
-1.5
 
-2.1
0.0
-0.7
0.8
 
4.3
0.0
1.3
0.6
 
N
N
N
N
 
4.7
0.1
1.7
1.0
 
-6.7
-0.1
-5.3
-3.7
 
0.9
0.0
-2.0
-2.8
 
-9.3
-0.1
-7.9
-6.4
 
-8.5
-0.1
-11.4
-12.2
 
-2.9
0.0
-1.5
0.1
 
-1.0
0.0
-3.9
-4.6
 
N
N
N
N
 
0.0
0.0
-3.0
-3.7
 
-5.5
-0.1
-4.1
-2.6
 
14.2
0.2
11.3
10.5
 
N
N
N
N
 
-1.2
0.0
-4.2
-4.9
 
-10.6
-0.1
-9.2
-7.7
 
7.5
0.2
4.5
3.8
 
 
 
 
 
 
 
 
 
 
 
 
-3.0
0.0
-1.6
0.0
 
3.7
0.1
0.7
0.0
 
-2.6
0.0
-1.2
0.3
 
4.0
0.1
1.1
0.3
 
-5.1
-0.1
-3.7
-2.2
 
1.6
0.0
-1.3
-2.0
 
 
 
 
 
 
 
 
 
 
 
 
-1.4
0.0
0.0
 
2.9
0.1
0.0
 
-1.3
0.0
0.1
 
3.2
0.1
0.3
 
-3.0
0.0
-1.6
 
-1.4
0.0
-4.4
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_611500_611100_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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