Leading, Slipping, Gaining, Lagging Analysis:
Assessing Manufacturing Earnings Growth
Across Georgia Counties
Real* Manufacturing
Earnings Growth
County vs Statewide Average: 2010-2022 and 2022
Real* Manufacturing
Earnings Growth
Georgia:
2010-2022 = 4.09%
2022 = 7.71%
Borrowing from an approach that sometimes appears in the finance sections of the popular press, LSGL analysis is a handy and versatile way to compare, portray and classify the patterns of real manufacturing earnings growth across all of Georgia's 159 counties. In finance, this technique is used for comparing and assessing the market performance of individual securities or across industry sectors. For example, the performance of the 30 stocks contained within Dow are compared with one another over the past week in contrast to their performance over the past month using the Dow's respective averages as the points of reference.
Here in this Georgia Regional Economic Analysis Project report, we adopt this approach to gauge and compare the real manufacturing earnings growth of Georgia's 159 counties over the latest available year (2022) against the backdrop of their growth over the long term period (2010-2022). In so doing we classify their growth and performance into 4 broad categories: Leading, Slipping, Gaining and Lagging.
Real* Manufacturing
Earnings Growth
County vs Statewide Average: 2010-2022 and 2022
Real* Manufacturing
Earnings Growth
Georgia:
2010-2022 = 4.09%
2022 = 7.71%
This figure displays the 159 counties of Georgia as dots on a scattergram, with the vertical axis representing the average annual real manufacturing earnings growth rate over the long-term period (2010-2022), and the horizontal axis representing the real manufacturing earnings growth rate for the near-term (2022).
This figure sets apart those counties whose long-term real manufacturing earnings growth exceeded the statewide average of 4.09%, by portraying them in the top two quadrants demarcated at 4.09% on the vertical axis. County whose long-term average annual real manufacturing earnings growth rate trailed the statewide average (4.09%) are distributed in the bottom two quadrants. In all, 70 counties surpassed the statewide average over 2010-2022, while 53 counties fell below.
Similarly, the two quadrants on the right of this figure present the positions of the 60 counties whose most recent (2022) real manufacturing earnings growth rate exceeded the statewide average (7.71%). The two quadrants on the left feature those 63 counties whose real manufacturing earnings growth over 2022 trailed the statewide average.
Accordingly, each quadrant portrays the performance of all 159 counties corresponding with their long-term (2010-2022) and near-term (2022) performance relative to their respective statewide averages of 4.09% over 2010-2022 and 7.71% over 2022:
Leading counties () (top-right quadrant)...are counties whose average annual real manufacturing earnings growth rate surpassed the statewide average both long-term (4.09%) and near-term (7.71%).
Slipping counties () (top-left quadrant)...are counties whose long-term average annual real manufacturing earnings growth rate exceeded the statewide average (4.09%), but whose near-term growth has "slipped" by falling below the Georgia average (7.71%).
Gaining counties () (bottom-right quadrant)...are counties whose long-term average annual real manufacturing earnings growth rate fell below the statewide average (4.09%), but whose near-term growth has "gained" by registering above the average (7.71%) statewide.
Lagging counties () (bottom-left quadrant)...are counties whose average annual real manufacturing earnings growth rate fell under the statewide average both long-term (4.09%) and near-term (7.71%).
   
 
Summary of Georgia's 159 County Totals
 
Short Term Average
 
 
Below
(7.71%)
Above
(7.71%)
 
Long
Term
Average
Above
(4.09%)
33
37
70
Below
(4.09%)
30
23
53
 
63
60
123
 
   
Leading Counties
2022 vs. 2010-2022 Averages
Leading Counties
white dot
Georgia:
2010-2022 = 4.09%
2022 = 7.71%
Turning attention to the top-right quadrant from the discussion above, this figure features the distribution of the Georgia counties classified as Leading. These counties surpassed Georgia's average annual real manufacturing earnings growth both long-term (2010-2022 = 4.09%) as well as near-term (2022 = 7.71%). Each is identified by its corresponding ranking based on it's average annual real manufacturing earnings growth rate over 2010-2022.
Of Georgia's 159 counties, 37 (23%) are classified within the Leading () category. Those counties ranked by their long-term average include:
Slipping Counties
2022 vs. 2010-2022 Averages
Slipping Counties
Georgia:
2010-2022 = 4.09%
2022 = 7.71%
This figure depicts the distribution of the 33 Georgia counties classified as Slipping (top-left quadrant), in that their long-term average annual real manufacturing earnings growth rate outpaced the average statewide (2010-2022 = 4.09%), while they trailed the statewide average near-term (2022 = 7.71%). Again, each county is identified by it's corresponding ranking based on its average annual real manufacturing earnings growth rate over 2010-2022.
Observe that 33 (21%) of Georgia's 159 counties are classified as Slipping (). Those counties ranked by their long-term average include:
Gaining Counties
2022 vs. 2010-2022 Averages
Gaining Counties
white dot
Georgia:
2010-2022 = 4.09%
2022 = 7.71%
This figure shows the distribution of the 23 Georgia counties classified as Gaining (bottom-right quadrant), in that their long-term average annual real manufacturing earnings growth rate posted below the average statewide (2010-2022 = 4.09%), while they outpaced Georgia's average near-term (2022 = 7.71%). Again, each county is identified by its corresponding ranking based on its average annual real manufacturing earnings growth rate over 2010-2022.
Of Georgia's 159 counties, only 14% (23) are featured as Gaining (). Those counties ranked by their long-term average include:
Lagging Counties
2022 vs. 2010-2022 Averages
Lagging Counties
white dot
Georgia:
2010-2022 = 4.09%
2022 = 7.71%
This figure depicts the distributions of the 30 Georgia counties classified as Lagging (bottom-left quadrant). These counties trailed the statewide average annual real manufacturing earnings growth both long-term (2010-2022 = 4.09%) as well as near-term (2022 = 7.71%). Again, each county is identified by its corresponding ranking based on it's average annual real manufacturing earnings growth rate over 2010-2022.
19% of Georgia's counties, 30 of 159, are characterized here as Lagging (). Those counties ranked by their long-term average include:
   
 
Georgia
Real* Manufacturing Earnings Growth
County vs. Statewide Average
 
2010-2022
 
2022
 
 
Leading Counties
 
48
5.51
 
13
18.84
43,781
 
43
6.09
 
64
7.85
188,779
 
53
5.31
 
29
14.52
889,534
 
15
9.15
 
1
49.22
94,632
 
4
12.32
 
11
19.49
84,316
 
36
6.46
 
20
16.61
166,200
 
38
6.39
 
54
9.10
777,138
 
58
5.21
 
36
12.45
130,726
 
28
7.01
 
61
8.28
26,699
 
55
5.27
 
34
13.02
2,059,390
 
54
5.28
 
41
12.09
218,153
 
44
6.07
 
37
12.43
470,549
 
10
9.94
 
2
41.87
116,908
 
7
11.08
 
52
9.34
86,057
 
60
5.16
 
40
12.10
341,368
 
56
5.25
 
25
15.39
136,540
 
32
6.68
 
38
12.40
471,790
 
11
9.90
 
55
9.06
88,640
 
62
5.05
 
26
15.33
47,227
 
35
6.50
 
17
17.03
1,737,446
 
5
12.22
 
7
23.43
155,212
 
39
6.37
 
23
15.69
379,907
 
9
10.29
 
12
19.25
595,072
 
41
6.22
 
47
10.25
80,876
 
24
7.34
 
28
15.13
68,457
 
14
9.33
 
24
15.62
225,223
 
67
4.70
 
39
12.20
343,663
 
51
5.40
 
9
20.99
56,094
 
22
7.68
 
6
24.07
27,757
 
17
8.61
 
3
34.95
19,909
 
8
10.33
 
8
23.05
156,496
 
1
14.37
 
14
18.26
16,156
 
45
5.91
 
62
8.24
115,350
 
19
8.03
 
43
10.97
958,825
 
20
7.77
 
63
8.11
29,126
 
70
4.10
 
60
8.37
324,575
 
29
6.99
 
57
8.87
59,287
Slipping Counties
 
50
5.42
 
67
6.85
53,237
 
16
8.65
 
102
0.92
72,735
 
31
6.79
 
65
7.25
31,733
 
3
13.52
 
114
-2.13
24,272
 
59
5.17
 
91
3.45
70,537
 
18
8.07
 
82
4.89
13,848
 
26
7.18
 
100
1.67
486,332
 
69
4.11
 
124
-9.25
444,035
 
46
5.77
 
90
3.46
70,137
 
68
4.66
 
92
3.05
309,557
 
27
7.16
 
130
-19.83
62,223
 
40
6.27
 
104
0.64
73,696
 
57
5.25
 
74
6.00
4,962,226
 
37
6.45
 
66
7.08
728,185
 
49
5.49
 
110
-0.75
37,574
 
12
9.87
 
94
2.64
4,864
 
33
6.68
 
122
-8.68
6,553
 
6
11.88
 
101
1.04
28,168
 
47
5.56
 
80
5.19
57,575
 
34
6.65
 
118
-2.88
51,197
 
42
6.21
 
86
4.41
72,555
 
66
4.71
 
87
3.97
27,682
 
63
4.97
 
117
-2.78
22,529
 
65
4.78
 
73
6.08
53,848
 
23
7.60
 
116
-2.37
431,134
 
21
7.70
 
84
4.51
154,160
 
2
13.90
 
111
-0.80
10,743
 
61
5.15
 
77
5.41
312,757
 
30
6.90
 
98
2.25
116,065
 
64
4.92
 
119
-4.31
17,198
 
25
7.28
 
112
-1.04
251,508
 
52
5.32
 
129
-17.69
102,039
 
13
9.70
 
85
4.44
40,163
Gaining Counties
 
121
-1.80
 
42
12.01
84,880
 
115
0.04
 
56
9.03
453,299
 
74
3.89
 
31
13.65
196,431
 
90
2.80
 
5
25.49
45,341
 
104
1.57
 
50
9.51
161,445
 
106
1.46
 
48
10.21
112,109
 
77
3.73
 
58
8.75
770,048
 
99
2.16
 
15
17.98
240,071
 
80
3.40
 
46
10.34
147,328
 
83
3.24
 
49
10.14
426,382
 
84
3.08
 
35
12.89
71,473
 
94
2.51
 
51
9.41
68,303
 
98
2.30
 
30
14.27
5,580
 
85
3.04
 
59
8.63
229,127
 
109
1.14
 
10
19.92
25,975
 
112
0.50
 
32
13.51
29,191
 
86
3.03
 
4
26.02
267,044
 
71
4.03
 
27
15.31
161,523
 
100
2.07
 
22
16.20
111,332
 
97
2.32
 
18
16.95
88,555
 
79
3.47
 
45
10.60
41,756
 
89
2.84
 
44
10.76
127,250
 
95
2.47
 
21
16.42
17,374
Lagging Counties
 
78
3.65
 
99
2.14
84,185
 
93
2.70
 
69
6.59
502,743
 
105
1.54
 
108
-0.66
15,003
 
114
0.10
 
131
-25.93
26,525
 
81
3.36
 
115
-2.18
95,475
 
118
-0.47
 
125
-9.46
89,893
 
92
2.73
 
76
5.50
2,300,631
 
102
1.85
 
103
0.81
1,116,642
 
107
1.32
 
127
-12.37
28,734
 
116
-0.05
 
107
-0.20
324,354
 
96
2.41
 
72
6.41
89,401
 
73
3.90
 
71
6.45
555,332
 
72
3.94
 
109
-0.70
106,502
 
110
1.10
 
78
5.29
78,613
 
117
-0.11
 
75
5.60
170,612
 
75
3.77
 
79
5.27
2,953,544
 
101
1.91
 
121
-8.30
28,533
 
122
-3.57
 
126
-9.55
4,907
 
111
1.02
 
133
-37.06
1,384
 
113
0.17
 
123
-8.99
156,501
 
76
3.74
 
68
6.63
116,850
 
120
-1.14
 
105
-0.01
172,765
 
88
2.86
 
70
6.52
541,587
 
103
1.74
 
88
3.79
356,363
 
108
1.20
 
83
4.74
739,046
 
82
3.25
 
113
-1.68
43,539
 
119
-0.63
 
96
2.53
9,111
 
87
2.94
 
81
4.92
1,335,422
 
91
2.75
 
95
2.55
25,934
 
123
-6.92
 
97
2.29
3,705
Undefined/Suppressed Counties
 
U
U
 
132
-29.81
219
 
U
U
 
128
-13.45
2,941
 
U
U
 
S
S
S
 
U
U
 
S
S
S
 
U
U
 
S
S
S
 
U
U
 
S
S
S
 
U
U
 
S
S
S
 
U
U
 
S
S
S
 
U
U
 
S
S
S
 
U
U
 
S
S
S
 
U
U
 
120
-7.05
145
 
U
U
 
S
S
S
 
U
U
 
89
3.74
76,150
 
U
U
 
S
S
S
 
U
U
 
16
17.21
3,555
 
U
U
 
S
S
S
 
U
U
 
S
S
1,105
 
U
U
 
S
S
10,728
 
U
U
 
106
-0.06
1,606
 
U
U
 
53
9.25
136,614
 
U
U
 
93
2.84
170,618
 
U
U
 
S
S
12,134
 
U
U
 
S
S
S
 
U
U
 
S
S
S
 
U
U
 
S
S
32,648
 
U
U
 
S
S
S
 
U
U
 
S
S
S
 
U
U
 
S
S
S
 
U
U
 
S
S
3,298
 
U
U
 
33
13.43
8,312
 
U
U
 
S
S
12,830
 
U
U
 
19
16.83
10,637
 
U
U
 
S
S
S
 
U
U
 
S
S
S
 
U
U
 
S
S
S
 
U
U
 
S
S
S
 
 
 
 
 
 
 
 
 
4.09
 
7.71
37,719,768
 
 
 
 
 
 
 
 
 
3.42
 
7.61
1,335,947,000
November 2023
REAP_PI_CA1600N_610500_LSGL
 
   
Analysis Options Menu
Select Year Interval
to
Select Alternative Industry
Highlight a Region (Optional)
Copyright © 2023. Pacific Northwest Regional Economic Analysis Project (PNREAP). All Rights Reserved.

Please stay tuned...
while your request is processing:

Please wait while your request is being processed...
To offer the most comprehensive set of interactive options in support of your research, GA-REAP calculates and crunches most of the data and generates the narrative and graphic analysis on demand in response to your request.
Your request will soon be available.
Just a few more seconds....Your request has been generated and is now loading the results.