INDIANABUSINESSREVIEW
Finding Work: New Career Pathways in an Evolving Labor Market
demographic and economic perspectives, insights, and analysis since 1926
Fall 2011
Volume 86, No. 3
Migration Trends and
Population Change Between
the Censuses
Kelley School of Business
Daniel C. Smith Dean
Frank Acito Associate Dean of Information Technology Munirpallam Venkataramanan Associate Dean of
Academic Programs Idie Kesner
Associate Dean of Faculty and Research Philip L. Cochran Associate Dean of Indianapolis Programs Anne D. Auer
Director of Marketing
Indiana Business Research Center
Jerry N. Conover Director and Publisher
Indiana Business Review
Carol O. Rogers Executive Editor Rachel M. Justis Managing Editor Diane M. Probst Graphic Designer
Flora A. Lewis Quality Control
Table of Contents
Fall 2011
Volume 86, No. 3
w w w . i b r c . i n d i a n a . e d u
Keen attention is paid to the latest job numbers—often immediately followed by dismay at the continuing unemployment and lack of new jobs. Both articles in this issue of the IBR focus on jobs. Tim Slaper reveals a new way of approaching a career: pathway clusters. The principle is pretty simple: job seekers will seek and be most productive in jobs that are most similar to the ones they lost and the pathway cluster results in many possible job targets, not just one.
And speaking of job loss, State Demographer Matt Kinghorn gives us a close-up at migration findings, taking us on a statewide journey across population-losing counties and population-gainers. The evidence seems clear that many of our industrial-based older communities have seen people move away after jobs were lost. Will we continue to see such patterns of migration, loss and gain? Matt is also working on our first set of Indiana and county population projections (by age, race and sex) for the 2010s; look for those in our Spring issue.
8 Migration Trends and Population Change Between the Censuses
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1 Finding Work: New Career Pathways in an Evolving Labor Market
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From the Editor
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Finding Work: New Career Pathways in an Evolving Labor Market
Timothy F. Slaper, Ph.D.: Director of Economic Analysis, Indiana Business Research Center, Indiana University Kelley School of Business
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TABLE 1:Tri-State Top 15 Green and Growing Non-Automotive Occupation Postings and Expected Job Change to 2018
1 Source: HWOL, Quarter 4, 2010; Green jobs total, N=131,248.
2 Source: BLS; Projections from 2008 to 2018 are for parent, six-digit SOC. HWOL and O*NET now report occupations at the eight-digit SOC detail. As a result, those occupations listed in this table are at the more detailed, eight-digit SOC while the projection figures are for the parent six-digit SOC. Hence the projection is for a group of similar occupations and not the specific occupation listed in the table.
3 Source: O*NET; O*NET categorizes green industries into 12 sectors. For the purposes of this report, the research team recast those 12 sectors into five categories (auto manufacturing being the fifth).
4 Source: IBRC using HWOL and BLS/OES data
5 Source: BLS. Mean wage calculated for the tri-state region using a weighted average.
Rank Description
HWOL Green Postings1
10-Year Expected
Growth2
Industry Group3
Postings-to- Employment
Ratio4
Mean Wage5
1 Truck Drivers, Heavy and Tractor-Trailer 16,343 13.0% 1 : 10 $39,190
2 Customer Service Representatives 13,767 17.7% 1 : 13 $32,898
3 Marketing Managers 5,919 12.5% 1 : 2 $106,051
4 Sales Representatives, Wholesale and
Manufacturing, Technical and Scientific Products 5,194 9.7% 1 : 8 $80,298
5 General and Operations Managers 4,038 -0.1% 1 : 22 $108,057
6 Laborers and Freight, Stock, and Material
Movers, Handlers 3,131 -0.8% 1 : 75 $25,930
7 Automotive Specialty Technicians 2,745 4.7% 1 : 20 $37,297
8 Public Relations Specialists 1,826 24.0% 1 : 9 $51,630
9 Training and Development Specialists 1,794 23.3% 1 : 10 $53,051
10 Engineering Managers 1,638 6.2% 1 : 11 $109,392
11 Welders, Cutters, and Welder Fitters 1,574 -1.6% 1 : 21 $35,842
12 Computer Software Engineers, Systems
Software 1,377 30.4% 1 : 14 $81,926
13 Production, Planning, and Expediting Clerks 1,365 1.5% 1 : 20 $41,314
14 Aerospace Engineers 1,353 10.4% 1 : 1 $86,484
15 Heating and Air Conditioning Mechanics
and Installers 1,323 28.1% 1 : 16 $45,441
Miscellaneous Industries Not Elsewhere Classified
Environmental Services Non-Auto Manufacturing Energy-Related Industries
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A key advantage of pathway clusters over
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1 Source: HWOL, Quarter 4, 2010; Green jobs total, N=131,248.
2 Source: BLS; Projections from 2008 to 2018 are for parent, six-digit SOC. HWOL and O*NET now report occupations at the eight-digit SOC detail. As a result, those occupations listed in this table are at the more detailed, eight-digit SOC while the projection figures are for the parent six-digit SOC. Hence the projection is for a group of similar occupations and not the specific occupation listed in the table.
3 Source: IBRC using HWOL and BLS/OES data
4 Source: BLS. Mean wage calculated for tri-state using a weighted average.
Rank Description
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10-Year Expected
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Mean Wage4
1 Registered Nurses 23,415 22.2% 1 : 11 $60,750
2 Retail Salespersons 16,233 8.4% 1 : 23 $23,938
3 Occupational Therapists 14,728 25.6% 1 : 1 $68,962
4 Physical Therapists 12,620 30.3% 1 : 1 $73,557
5 First-Line Supervisors/Managers of Retail Sales Workers 12,003 5.3% 1 : 8 $38,589
6 Computer Systems Analysts 10,422 20.3% 1 : 4 $77,109
7 Executive Secretaries and Administrative Assistants 9,971 12.8% 1 : 10 $41,237
8 Web Developers 8,790 13.4% 1 : 2 $68,394
9 Sales Representatives, Wholesale and Manufacturing,
Except Technical and Scientific Products 7,895 6.6% 1 : 17 $58,906
10 Medical and Health Services Managers 7,796 16.0% 1 : 4 $82,542
11 Computer Support Specialists 7,740 13.8% 1 : 6 $42,408
12 First-Line Supervisors/Managers of Office and
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13 Speech-Language Pathologists 7,352 18.5% 1 : 1 $72,655
14 Sales Agents, Financial Services 6,041 9.3% 1 : 4 $72,610
15 Office Clerks, General 5,970 11.9% 1 : 44 $26,764
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§ Clusters are ordered based on their relative strength, or how “tight” the clusters are. Information and investigation was the strongest cluster. The environmental sciences and food service cluster, in contrast, had the weakest similarity scores. The number of occupations in a cluster does not speak to the cluster’s relative strength or importance.
¤ Based on the six-digit SOC definitions of the 2009 vintage of O*NET. The 2010 eight-digit O*NET/SOC definitions have considerably more jobs classified as green.
Source: Indiana Department of Workforce Development (IDWD) and the Indiana Business Research Center (IBRC)
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Number of Green¤
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Health, Social and Personal Services 2 90 0
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Operation, and Repair 3b 69 15
Design and Production 3c 73 14
Liberal Arts, Education and Human Relations 4 86 7
Business, Sales and Administration 5 105 15
Transportation and Public Services 6 97 20
Environmental Sciences and Food Service 7 74 15
FIGURE 1:Selected Occupations in the Same Cluster as an Industrial Machinery Mechanic
Source: Indiana Business Research Center
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Source: Indiana Business Research Center
Auto Sector Occupation Destination Occupation
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Pathway
Cluster ID Occupation
Pathway
Cluster ID Trip Time (Hours) Helpers—Production Workers 3a Separating, Filtering, Clarifying, Precipitating, and Still
Machine Setters, Operators, and Tenders
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Truck Drivers, Heavy and Tractor-Trailer 6 370
First-Line Supervisors/
Managers of Production and Operating Workers
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5 360
Computer-Controlled Machine Tool Operators, Metal and Plastic
3a 310
TABLE 4:Sample Career Transitions from Automotive Occupations to In-Demand Green Occupations with Above Average Wages
Source: IDWD and IBRC
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6 310
Helpers—Production Workers 3a Excavating and Loading Machine and Dragline Operators
3b 200
Extruding, Forming, Pressing, and Compacting Machine Setters, Operators, and Tenders
3c 205
Coin, Vending, and Amusement Machine Servicers and Repairers
6 330
TABLE 5:Sample Career Transitions from Automotive Occupations to In-Demand Non-Green Occupations with Above Average Wages
Source: IDWD and IBRC
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ea that the tateȂ ppat
e ea¢ etate
eta aaǯ The ŗŖȬt¢ et
aeaȂ hae the tate ppat
eae Řśǯŗ peet ŘŖŖŖ t
Řŝǯŗ peet ŘŖŗŖǯ
FIGURE 1:Indiana Population Change by County, 2000 to 2010
Source: IBRC, using U.S. Census Bureau data
Migration Trends and Population Change Between the Censuses
Matt Kinghorn: Demographer, Indiana Business Research Center, Kelley School of Business, Indiana University
More than 20% (5) Increases
Declines
10% to 20% (8) 0% to 9.9% (50)
-0.01% to -3 (16) Less than -3% (13) Warren
Marion
Knox
Posey
Martin
Daviess Scott
Jay
Pike
Adams
Hancock
Decatur
Gibson
Porter
Wayne Randolph Grant
Marshall
Fayette Putnam
Montgomery Lake
Warrick
Rush Benton
Vigo
Hamilton
Bartholomew Boone
Clark
Wells
Black- ford
Jennings
Newton
Sullivan
LaPorte
Ohio
Floyd Morgan Johnson
Huntington
Allen
Cass
Washington Greene
Franklin
Vander- burgh
Orange Tippecanoe
Howard
Jackson
Henry Parke
Vermillion
Miami
Perry Fountain
Kosciusko
Jefferson Fulton
Spencer Pulaski
Ripley
Union Whitley
Jasper
Clay
Hendricks
St. Joseph Steuben
Crawford
Switzerland
Dubois White
Carroll
Noble DeKalb
Madison
Shelby
Brown Tipton Starke
Harrison
Dearborn Clinton
Delaware Elkhart LaGrange
Owen
Monroe
Lawrence
Wabash
aa e ee ǰ a ŘŖŗŗȳXȳş
aaȂ the ae etpta
tatta aeaȯ a¢ǰ t a¢eǰ
ae a th eȯ a
e t ¢ t a¢e tpae
the tateȂ a ŜǯŜ peet th
e the eaeǯ
ea heǰ a¢ the Ȭ
£e te that e
h aaȂ ta
ae a ęat ppat
eeǯ Th pata¢ the ae thh a ath thȬeta
a eatȬeta aa hee
etpta a pta aea
h a apt ǻȬŚǯŞ peetǼǰ aah ǻȬśǯş peetǼǰ
ǻȬŘǯŞ peetǼǰ a ǻȬŚǯŜ peetǼǰ
e ǻȬŗǯř peetǼǰ e ǻȬŖǯş peetǼǰ h ǻȬřǯŗ peetǼ a ee ǻȬśǯŗ peetǼ t ppatǯ
aǰ Ŝř aa te ae
eet e the at eae he Řş t ppat ǻee Figure 1Ǽǯ
a t¢ ǻȬşǯŗ peetǼǰ et t¢ ǻȬŜǯŖ peetǼ a
aah t¢ ǻȬśǯş peetǼ ha
the hapet ee a aa
teǯ The Řş te th
h ppat e t
e ŘŝǰşŚŝ eet e th peǯ ea heǰ the tateȂ ęe atetȬ
te a ee
a t¢ǯ Thee te
ee e ¢ at a eǰ hh e ¢ śŖ peet ǻşŗǰŞŘş
eetǼ a ŚŖ peet ǻŚŗǰřśśǼǰ
epete¢ǯ
aaȂ aet te ae
ǰ tǯ a t¢ ae
ŚŘǰşřş eet t eah a tta
ppat şŖřǰřşřȯa ś peet
eaeǯ th et aaǰ ae
t¢ p ŘǯŚ peet t ŚşŜǰŖŖś
eetǰ he eh te
t¢ e ¢ ŗŘ peet t eah ŗŜŚǰřŚřǯ e t¢ e ¢ ŝǯŗ peet t t řśśǰřŘş eetǯ
he ta ee a¢ hae
e t ppat a¢ pat
the tateǰ t et aea that ae hea¢ e aat
a t thǯ hat t¢ǰ
epte e ht ha ¢ th
ee th eaeǰ pte a
Şǯŗ peet ppat thǰ he athe t¢ e ¢ ŝǯś peetǯ
Components of Indiana’s Population Change
pat tat thh
ata eae ǻthe ěeee
et ee the e th a
eathǼ a atǯ e the
at eaeǰ aa ha h¢
řŘŖǰŖŖŖ e th tha eathǰ hh ate ŞŖ peet the
tateȂ tta ppat thǯ
t ęe aa te ǻeǰ e¢ǰ aǰ a aahǼ
etee a pte ata eae
e the at eaeǯ
et Ȭat a a e
ppat th a t ea¢
a epeaǯ ¢ řŖ aaȂ
şŘ te ae ppatǰ
etǰ thh at e the at
eaeǯŘ ea that Ŝř te
the ppat a e th
peǰ hh ea that the ata
eae řř te a ae eh t ěet a et tȬat
eetǯ
th ppat th
eeaǰ a te the
aap et aea ha the
eatet ee et Ȭat ǻee Figure 2Ǽǯ at t¢ ha the
tateȂ aet pte et at
at h¢ ŜśǰŖŖŖ eet e
the eaeǯ Th ęe a t e a eat a eȬpae e
t¢ǰ hh ha a et Ȭat
řŘǰŖŖŖ eetǯ at a
e teȂ at
e eate t a at ate pe ŗŖŖ eet řśǯŝ a řŗǯŖǰ
epete¢ǯ t the
tateȂ ęe hhet at ate
ee the e aap
et te a
t¢ ǻŗşǯś pe ŗŖŖ eetǼǰ
e t¢ ǻŗŝǯŘǼ a h
t¢ ǻŗŚǯŝǼǯ
a te ee hee
the tate a h e hh ate
Ȭatǯ a ǻŗŖǯśǼ a
a ǻşǯşǼ te the e
et aea ha hh ate et
Ȭat a a t¢
ǻŗŖǯŖǼ the ae aea a
te t¢ ǻŝǯřǼ th et
aaǯ the theat e the
tateǰ a ĵea t¢ ǻŗŚǯśǼ a h t¢ ǻŜǯŜǼ a ha
hh aǯ
et tȬat e the at
eaeǰ h eeǰ a epea
the the ha the tateǯ
atǰ e¡ te the
aap et aeaǰ ¢ ¡
the ŚŜ aa te th
tetate ŝŖ ǻ teete ¢ tǼ ha et Ȭat e the at ŗŖ
¢eaǯ aǰ etǰ a a
a ae te eah ha et tȬ
at ate ae Ş eet
pe ŗŖŖǯ
a t¢ ha the aet ate et tĚ ppat
e the eae at h¢ řŖǰśŖŖ
eet e ¢ tǯ eph
t¢ ǻȬŗřǰŖŖŖǼ a ae t¢
ǻȬŗŖǰşŖŖǼǯ
heǰ aa pte a et
Ȭat ŞŖǰŖŖŖ eet
et ee ŘŖŖŖ a ŘŖŗŖǯ Th