Transportation and Warehousing vs. Manufacturing
Average Earnings Per Job Structure and Growth by County
Ohio, 2001-2022
Average Earnings Per Job by County
Percent of Overall County Average, 2022
Select a Year/Indicator:Percent of Overall
County Average
Location
Quotients
Percent of State
Counterpart
Percent of National
Counterpart
Average Earnings Per Job by County
View Distribution Totals as:Actual Percent
   
 
Transportation and Warehousing vs. Manufacturing
Ohio Average Earnings Per Job Distribution by County:
Percent of Overall County Average, 2022
More
than
200%
200%
to
180%
180%
to
160%
160%
to
140%
140%
to
120%
120%
to
100%
100%
or
Below
Suppressed
or
Undefined
Total
Transportation and Warehousing
2
0
1
3
6
22
38
16
88
Manufacturing
2
3
15
29
31
5
1
2
88
 
   
Select an alternate year:
   
 
Transportation and Warehousing vs. Manufacturing
Average Earnings Per Job Structure by County:
Ohio, 2022
 
Transportation and Warehousing
 
Manufacturing
 
 
 
47,405
102.6
93.0
85.2
 
87,896
190.2
98.7
89.0
 
50,991
83.3
100.1
91.7
 
101,234
165.5
113.6
102.5
 
57,455
115.7
112.8
103.3
 
67,350
135.7
75.6
68.2
 
43,704
85.8
85.8
78.6
 
77,076
151.4
86.5
78.0
 
29,895
60.5
58.7
53.8
 
67,789
137.2
76.1
68.6
 
S
S
S
S
 
86,175
148.9
96.7
87.2
 
60,072
119.9
117.9
108.0
 
68,225
136.2
76.6
69.1
 
S
S
S
S
 
66,984
163.1
75.2
67.8
 
46,139
70.4
90.6
83.0
 
105,726
161.2
118.7
107.0
 
70,909
158.8
139.2
127.5
 
66,619
149.2
74.8
67.4
 
38,601
73.4
75.8
69.4
 
82,751
157.4
92.9
83.8
 
52,550
96.5
103.1
94.5
 
79,919
146.7
89.7
80.9
 
152,965
237.7
300.2
275.0
 
83,191
129.3
93.4
84.2
 
94,056
137.0
184.6
169.1
 
87,806
127.9
98.6
88.9
 
61,357
125.3
120.4
110.3
 
66,818
136.5
75.0
67.6
 
53,802
109.1
105.6
96.7
 
79,050
160.3
88.7
80.0
 
S
S
S
S
 
73,483
139.2
82.5
74.4
 
47,008
64.5
92.3
84.5
 
93,191
127.9
104.6
94.3
 
58,668
106.6
115.2
105.5
 
73,451
133.5
82.5
74.4
 
66,895
122.9
131.3
120.3
 
95,557
175.5
107.3
96.7
 
38,038
57.0
74.7
68.4
 
94,270
141.2
105.8
95.4
 
S
S
S
S
 
77,875
131.8
87.4
78.8
 
28,527
58.5
56.0
51.3
 
70,751
145.0
79.4
71.6
 
58,313
108.5
114.5
104.9
 
72,749
135.4
81.7
73.6
 
56,715
78.2
111.3
102.0
 
100,986
139.2
113.4
102.2
 
S
S
S
S
 
87,209
145.4
97.9
88.3
 
57,733
117.2
113.3
103.8
 
63,579
129.0
71.4
64.4
 
60,358
112.0
118.5
108.5
 
74,377
138.0
83.5
75.3
 
S
S
S
S
 
76,874
102.3
86.3
77.8
 
64,084
127.4
125.8
115.2
 
80,741
160.6
90.6
81.7
 
44,407
57.2
87.2
79.8
 
117,119
151.0
131.5
118.6
 
86,671
126.1
170.1
155.8
 
81,892
119.1
91.9
82.9
 
59,470
115.0
116.7
106.9
 
74,656
144.4
83.8
75.6
 
S
S
S
S
 
100,025
204.6
112.3
101.3
 
63,140
112.9
123.9
113.5
 
82,998
148.4
93.2
84.0
 
40,402
89.6
79.3
72.6
 
62,210
138.0
69.8
63.0
 
S
S
S
S
 
59,479
145.1
66.8
60.2
 
68,585
99.1
134.6
123.3
 
82,262
118.9
92.3
83.3
 
89,629
157.0
175.9
161.2
 
70,958
124.3
79.7
71.8
 
53,825
113.1
105.6
96.8
 
63,695
133.9
71.5
64.5
 
56,598
110.5
111.1
101.8
 
90,388
176.5
101.5
91.5
 
42,960
81.7
84.3
77.2
 
86,434
164.4
97.0
87.5
 
19,218
33.9
37.7
34.6
 
88,800
156.8
99.7
89.9
 
45,965
100.6
90.2
82.6
 
70,652
154.7
79.3
71.5
 
48,416
88.0
95.0
87.1
 
90,103
163.7
101.1
91.2
 
52,338
92.8
102.7
94.1
 
93,893
166.5
105.4
95.0
 
30,483
57.0
59.8
54.8
 
92,397
172.9
103.7
93.5
 
51,826
79.7
101.7
93.2
 
101,001
155.3
113.4
102.2
 
44,429
81.3
87.2
79.9
 
72,675
133.0
81.6
73.6
 
40,406
74.7
79.3
72.7
 
84,521
156.2
94.9
85.6
 
50,023
90.3
98.2
89.9
 
74,671
134.8
83.8
75.6
 
42,865
79.5
84.1
77.1
 
80,628
149.5
90.5
81.6
 
46,051
120.6
90.4
82.8
 
S
S
S
S
 
75,047
118.1
147.3
134.9
 
70,076
110.3
78.7
70.9
 
S
S
S
S
 
80,084
145.6
89.9
81.1
 
78,832
207.4
154.7
141.7
 
S
S
S
S
 
42,841
65.5
84.1
77.0
 
88,240
135.0
99.1
89.3
 
S
S
S
S
 
74,532
178.4
83.7
75.4
 
S
S
S
S
 
79,704
189.4
89.5
80.7
 
55,501
100.2
108.9
99.8
 
74,196
133.9
83.3
75.1
 
73,972
163.5
145.2
133.0
 
62,113
137.3
69.7
62.9
 
50,094
97.4
98.3
90.1
 
78,084
151.9
87.7
79.0
 
62,169
119.3
122.0
111.8
 
65,101
124.9
73.1
65.9
 
40,094
85.4
78.7
72.1
 
64,534
137.5
72.4
65.3
 
45,536
73.5
89.4
81.9
 
131,753
212.7
147.9
133.4
 
50,567
75.9
99.3
90.9
 
58,903
88.4
66.1
59.6
 
S
S
S
S
 
80,860
149.6
90.8
81.9
 
50,497
94.9
99.1
90.8
 
84,025
157.9
94.3
85.1
 
S
S
S
S
 
79,184
153.7
88.9
80.2
 
58,380
109.5
114.6
105.0
 
76,278
143.1
85.6
77.2
 
48,299
80.2
94.8
86.8
 
87,934
146.0
98.7
89.0
 
58,416
104.8
114.7
105.0
 
76,776
137.7
86.2
77.7
 
62,219
114.8
122.1
111.9
 
100,028
184.6
112.3
101.3
 
56,024
110.5
110.0
100.7
 
78,586
154.9
88.2
79.6
 
S
S
S
S
 
87,703
136.5
98.5
88.8
 
38,152
70.4
74.9
68.6
 
82,750
152.7
92.9
83.8
 
36,606
57.4
71.8
65.8
 
81,289
127.5
91.3
82.3
 
45,778
90.5
89.9
82.3
 
85,471
169.0
95.9
86.5
 
61,546
108.3
120.8
110.7
 
75,337
132.6
84.6
76.3
 
48,011
65.6
94.2
86.3
 
126,249
172.4
141.7
127.8
 
51,172
92.2
100.4
92.0
 
65,647
118.2
73.7
66.5
 
64,909
153.7
127.4
116.7
 
66,136
156.6
74.2
66.9
 
37,475
56.7
73.6
67.4
 
87,797
133.0
98.6
88.9
 
62,199
106.2
122.1
111.8
 
95,663
163.3
107.4
96.8
 
49,349
81.0
96.9
88.7
 
88,126
144.6
98.9
89.2
 
S
S
S
S
 
76,280
133.5
85.6
77.2
 
48,215
82.6
94.6
86.7
 
83,056
142.3
93.2
84.1
 
S
S
S
S
 
76,382
127.6
85.7
77.3
 
 
 
 
 
 
 
 
 
 
 
 
50,949
79.0
100.0
91.6
 
89,083
138.1
100.0
90.2
 
48,957
74.0
96.1
88.0
 
92,954
140.5
104.3
94.1
 
63,277
112.6
124.2
113.8
 
79,798
142.1
89.6
80.8
 
 
 
 
 
 
 
 
 
 
 
 
55,614
77.7
100.0
 
98,786
138.0
100.0
 
54,945
74.4
98.8
 
103,588
140.3
104.9
 
63,129
117.0
113.5
 
78,138
144.8
79.1
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 2023
REAP_PI_CA1700N_510800_510500_SA
 
   
Select an alternate year:
   
 
Transportation and Warehousing vs. Manufacturing
Average Earnings Per Job Structure by Region:
Ohio, 2022
 
Transportation and Warehousing
 
Manufacturing
Metropolitan Statistical Areas
 
 
 
S
S
S
S
 
81,172
131.0
91.1
82.2
 
40,138
74.6
78.8
72.2
 
82,123
152.7
92.2
83.1
 
59,959
85.3
117.7
107.8
 
S
S
S
S
 
52,809
77.0
103.7
95.0
 
98,364
143.4
110.4
99.6
 
41,665
62.9
81.8
74.9
 
85,301
128.7
95.8
86.3
 
57,993
100.8
113.8
104.3
 
93,284
162.2
104.7
94.4
 
50,991
83.3
100.1
91.7
 
101,234
165.5
113.6
102.5
 
58,380
109.5
114.6
105.0
 
76,278
143.1
85.6
77.2
 
52,550
96.5
103.1
94.5
 
79,919
146.7
89.7
80.9
 
S
S
S
S
 
93,176
149.2
104.6
94.3
 
61,975
116.3
121.6
111.4
 
92,853
174.3
104.2
94.0
 
S
S
S
S
 
85,050
152.0
95.5
86.1
 
48,616
91.4
95.4
87.4
 
83,810
157.6
94.1
84.8
 
 
 
 
 
 
 
 
 
 
 
 
50,949
79.0
100.0
91.6
 
89,083
138.1
100.0
90.2
 
48,957
74.0
96.1
88.0
 
92,954
140.5
104.3
94.1
 
63,277
112.6
124.2
113.8
 
79,798
142.1
89.6
80.8
 
 
 
 
 
 
 
 
 
 
 
 
55,614
77.7
100.0
 
98,786
138.0
100.0
 
54,945
74.4
98.8
 
103,588
140.3
104.9
 
63,129
117.0
113.5
 
78,138
144.8
79.1
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 2023
REAP_PI_CA1700N_510800_510500_SB
 
   
Real* Average Earnings Per Job Growth by County
Growth Rates, 2022
Select a Year/Indicator:Growth RatesComponent Contributions
Real* Average Earnings Per Job Growth by County
View Distribution Totals as:Actual Percent
   
 
Transportation and Warehousing vs. Manufacturing
Ohio Real* Average Earnings Per Job Growth Distribution by County:
Growth Rates, 2022
More
than
6%
6%
to
4%
4%
to
2%
2%
to
0%
0%
to
-2%
-2%
to
-4%
-4%
or
Below
Suppressed
or
Undefined
Total
Transportation and Warehousing
0
1
0
1
0
2
66
18
88
Manufacturing
2
2
6
9
21
28
18
2
88
 
   
Select an alternate year:
   
 
Transportation and Warehousing vs. Manufacturing
Real* Average Earnings Per Job Growth by County:
Ohio, 2022
 
Transportation and Warehousing
 
Manufacturing
 
 
 
-21.0
-16.5
-10.3
 
1.9
4.4
4.5
 
-12.0
-7.5
-1.3
 
-1.8
0.7
0.8
 
-12.8
-8.2
-2.1
 
-3.7
-1.2
-1.1
 
-13.3
-8.8
-2.6
 
-0.9
1.6
1.7
 
-15.4
-10.9
-4.7
 
-6.2
-3.7
-3.6
 
N
N
N
 
-1.9
0.6
0.7
 
-6.2
-1.7
4.5
 
-3.1
-0.6
-0.5
 
N
N
N
 
-0.8
1.6
1.7
 
-13.0
-8.5
-2.3
 
-0.2
2.3
2.4
 
-8.8
-4.3
1.9
 
-2.1
0.4
0.5
 
-16.3
-11.8
-5.6
 
1.1
3.6
3.7
 
-4.0
0.5
6.7
 
-0.3
2.2
2.3
 
-26.3
-21.8
-15.6
 
-3.1
-0.7
-0.6
 
-2.8
1.8
7.9
 
-2.4
0.1
0.1
 
-10.2
-5.7
0.5
 
-10.4
-8.0
-7.9
 
-13.5
-9.0
-2.8
 
-3.0
-0.5
-0.4
 
N
N
N
 
-0.6
1.8
1.9
 
-8.3
-3.8
2.4
 
-3.7
-1.3
-1.2
 
-9.5
-5.0
1.2
 
-3.2
-0.8
-0.7
 
-6.3
-1.8
4.4
 
-2.6
-0.2
-0.1
 
-5.9
-1.4
4.8
 
-2.0
0.4
0.5
 
N
N
N
 
-2.1
0.4
0.5
 
-16.4
-11.9
-5.7
 
-2.2
0.2
0.3
 
-8.0
-3.5
2.7
 
-0.4
2.1
2.2
 
-9.8
-5.3
0.9
 
0.0
2.5
2.6
 
N
N
N
 
7.9
10.3
10.4
 
-7.1
-2.6
3.6
 
3.0
5.5
5.6
 
N
N
N
 
-4.9
-2.5
-2.4
 
N
N
N
 
-0.5
1.9
2.0
 
-9.4
-4.9
1.3
 
-2.6
-0.2
-0.1
 
-8.2
-3.7
2.5
 
-5.6
-3.1
-3.0
 
0.0
4.5
10.7
 
-7.9
-5.5
-5.4
 
-7.4
-2.9
3.3
 
1.5
3.9
4.0
 
N
N
N
 
1.8
4.3
4.4
 
-10.9
-6.4
-0.2
 
-4.6
-2.2
-2.1
 
-22.2
-17.6
-11.5
 
-3.7
-1.2
-1.1
 
N
N
N
 
-2.7
-0.2
-0.1
 
-11.5
-7.0
-0.8
 
-2.4
0.1
0.2
 
-6.7
-2.2
4.0
 
-2.8
-0.3
-0.3
 
-13.9
-9.4
-3.2
 
-0.5
2.0
2.0
 
-4.8
-0.3
5.9
 
-1.7
0.7
0.8
 
-20.3
-15.8
-9.7
 
4.8
7.3
7.4
 
-20.3
-15.8
-9.6
 
-5.7
-3.2
-3.1
 
-9.8
-5.3
0.9
 
3.1
5.5
5.6
 
4.0
8.5
14.7
 
-6.2
-3.8
-3.7
 
-4.7
-0.2
6.0
 
0.4
2.8
2.9
 
-15.9
-11.3
-5.2
 
-3.6
-1.2
-1.1
 
-11.2
-6.7
-0.5
 
-2.7
-0.2
-0.1
 
-22.2
-17.7
-11.5
 
1.3
3.8
3.8
 
-12.8
-8.3
-2.2
 
-1.0
1.4
1.5
 
-13.0
-8.5
-2.3
 
-7.4
-4.9
-4.9
 
-10.8
-6.3
-0.1
 
-3.4
-1.0
-0.9
 
N
N
N
 
N
N
N
 
-6.4
-1.9
4.3
 
2.7
5.2
5.2
 
N
N
N
 
-0.6
1.9
1.9
 
-6.2
-1.6
4.5
 
N
N
N
 
-8.4
-3.9
2.3
 
-1.0
1.5
1.5
 
N
N
N
 
1.0
3.5
3.6
 
N
N
N
 
2.4
4.9
5.0
 
-4.3
0.2
6.4
 
-3.2
-0.8
-0.7
 
-10.1
-5.6
0.6
 
-6.8
-4.3
-4.2
 
-13.6
-9.1
-2.9
 
-4.4
-1.9
-1.9
 
-9.4
-4.9
1.3
 
-2.8
-0.4
-0.3
 
-20.2
-15.7
-9.5
 
-3.6
-1.2
-1.1
 
-7.9
-3.4
2.8
 
13.4
15.9
15.9
 
-4.4
0.1
6.3
 
3.7
6.1
6.2
 
N
N
N
 
-6.2
-3.7
-3.6
 
-16.3
-11.8
-5.6
 
-4.8
-2.4
-2.3
 
N
N
N
 
3.2
5.6
5.7
 
-12.2
-7.6
-1.5
 
-1.9
0.6
0.7
 
-9.5
-4.9
1.2
 
0.6
3.0
3.1
 
-6.5
-2.0
4.1
 
-2.5
0.0
0.1
 
-11.0
-6.5
-0.4
 
-1.1
1.4
1.5
 
-10.1
-5.6
0.6
 
-0.6
1.9
1.9
 
N
N
N
 
-1.7
0.8
0.8
 
-15.6
-11.1
-4.9
 
-1.8
0.6
0.7
 
-16.0
-11.5
-5.3
 
-3.8
-1.3
-1.2
 
-10.7
-6.2
0.0
 
-5.5
-3.1
-3.0
 
-15.8
-11.3
-5.1
 
-3.2
-0.7
-0.6
 
-8.5
-4.0
2.2
 
5.4
7.8
7.9
 
-12.2
-7.7
-1.5
 
-11.6
-9.2
-9.1
 
-16.4
-11.9
-5.7
 
-6.7
-4.3
-4.2
 
-9.0
-4.5
1.7
 
-1.5
0.9
1.0
 
-9.3
-4.8
1.4
 
-4.8
-2.3
-2.2
 
-14.0
-9.5
-3.3
 
-2.4
0.0
0.1
 
N
N
N
 
-0.6
1.8
1.9
 
-19.6
-15.1
-8.9
 
-4.0
-1.5
-1.5
 
N
N
N
 
-2.4
0.1
0.2
 
 
 
 
 
 
 
 
 
 
-10.7
-6.2
0.0
 
-2.5
-0.1
0.0
 
-11.0
-6.5
-0.3
 
-2.6
-0.1
0.0
 
-8.5
-4.0
2.2
 
-2.5
-0.1
0.0
 
 
 
 
 
 
 
 
 
 
-4.5
0.0
 
-2.5
0.0
 
-4.5
0.0
 
-2.9
-0.5
 
-4.5
0.0
 
0.2
2.6
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 2023
REAP_PI_CA1700N_510800_510500_GA
 
   
Select an alternate year:
   
 
Transportation and Warehousing vs. Manufacturing
Real* Average Earnings Per Job Growth by Region:
Ohio, 2022
 
Transportation and Warehousing
 
Manufacturing
Metropolitan Statistical Areas
 
 
 
N
N
N
 
-4.5
-2.0
-1.9
 
-15.3
-10.7
-4.6
 
-1.8
0.6
0.7
 
-9.3
-4.8
1.4
 
N
N
N
 
-8.4
-3.9
2.3
 
0.3
2.7
2.8
 
N
N
N
 
-0.8
1.6
1.7
 
-7.9
-3.3
2.8
 
-1.5
1.0
1.1
 
-12.0
-7.5
-1.3
 
-1.8
0.7
0.8
 
-12.2
-7.6
-1.5
 
-1.9
0.6
0.7
 
-4.0
0.5
6.7
 
-0.3
2.2
2.3
 
N
N
N
 
-2.0
0.5
0.6
 
-8.9
-4.4
1.8
 
-0.8
1.7
1.7
 
N
N
N
 
-4.7
-2.3
-2.2
 
-11.0
-6.5
-0.3
 
-2.2
0.2
0.3
 
 
 
 
 
 
 
 
 
 
-10.7
-6.2
0.0
 
-2.5
-0.1
0.0
 
-11.0
-6.5
-0.3
 
-2.6
-0.1
0.0
 
-8.5
-4.0
2.2
 
-2.5
-0.1
0.0
 
 
 
 
 
 
 
 
 
 
-4.5
0.0
 
-2.5
0.0
 
-4.5
0.0
 
-2.9
-0.5
 
-4.5
0.0
 
0.2
2.6
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 2023
REAP_PI_CA1700N_510800_510500_GB
 
   
Additional Notes on Interpreting
Average Earnings Per Job for Ohio
Average Earnings Per Job
Average Earnings Per Job are computed by dividing BEA industry earnings estimate by BEA total full- and part-time jobs estimates. No convenient or adequate means exist at the county or regional level for converting the job estimates to a full-time equivalent measure. So, interpret the average earnings per job estimates with caution in consideration of the following issues:
  • Average earnings per job within industries involving more part-time work is lower than industries involving more full-time work, although there could be little difference in the underlying wage of full-time workers. Such differences could also prevail between counties and regions. An increase in the proportion of part-time jobs over time may erode average earnings per job estimates, although full-time earnings per worker may have remained unchanged.
  • As with per capita income, average earnings per job may be subject to extreme short-run variation, especially in smaller counties. Unusual conditions such as droughts, hurricanes and bumper crops give rise to wide variations in average earnings per job. Also, major construction projects relating to building dams, nuclear power plants, and private plant construction projects have caused extreme fluctuations in many smaller counties. Such changes typify both small and large agriculture-dependent counties owing to the extreme annual variations in farm incomes.
  • Since average earnings per job are just a simple average, it does not account for variations in the distribution of earnings among high- vs. low-wage jobs.
  • The earnings by major industry estimates compiled by the Bureau of Economic Analysis (BEA) are by place-of-work are the sum of wage and salary dibursements (payrolls), supplements to wages and salaries, and proprietors' income. The earnings by industry data are in expressed in thousands of current dollars ($1,000s). Unlike wage and salary disbursement, 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 or a location quotient that is negative.
Copyright © 2024. Pacific Northwest Regional Economic Analysis Project (PNREAP). All Rights Reserved.

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