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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

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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

ŠŽȱŽ–˜›Š™‘Ž›ȱŠĴȱ’—‘˜›—ȱŽ¡™•˜›Žœȱ–’›Š’˜—ȱŠŠȱŠ—ȱ

‘˜ ȱ™˜™ž•Š’˜—ȱ’œȱœ‘’’—ȱŠŒ›˜œœȱ‘ŽȱœŠŽǰȱ ’‘ȱŠȱœ™ŽŒ’Š•ȱ˜Œžœȱ

˜—ȱŠȱ‘Š—ž•ȱ˜ȱ•Š›ŽȱŒ˜ž—’Žœǰȱ‘’‘Ȭ›˜ ‘ȱŒ˜ž—’ŽœȱŠ—ȱ‘˜œŽȱ

Ž¡™Ž›’Ž—Œ’—ȱ“˜‹ȱ•˜œœǯȱ

1 Finding Work: New Career Pathways in an Evolving Labor Market

’–˜‘¢ȱ•ЙޛȱŽœŒ›’‹ŽœȱŠȱ—Ž ȱŠ™™›˜ŠŒ‘ȱ˜ȱ‘Ž•™ȱ’œ•˜ŒŠŽȱ  ˜›”Ž›œȱꗍȱŠ•Ž›—Š’ŸŽȱŒŠ›ŽŽ›œȱ’—ȱ›˜ ’—ȱꎕœǰȱœžŒ‘ȱŠœȱ‘Žȱ

›ŽŽ—ȱŽŒ˜—˜–¢ǯ

From the Editor

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—’Š—Šȱžœ’—ŽœœȱŽŸ’Ž ǰȱŠ••ȱŘŖŗŗȳXȳŗ

T

he manufacturing sector, and the automobile industry in particular, was under stress well before the advent of the Great Recession. žȱŠœȱ‘Žȱ ›ŽŠȱŽŒŽœœ’˜—ȱ˜˜”ȱ‘˜•ǰȱ‘Žȱ

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¢ŽŠ›ȱ˜›ȱ‘Žȱ–Š›”Žȱ’—ȱŠ•–˜œȱřŖȱ

¢ŽŠ›œǯȱ‘ŽȱŽŒ˜—˜–’Žœȱ˜ȱ—’Š—Šǰȱ

’Œ‘’Š—ȱŠ—ȱ‘’˜ȱŽ™Ž—ȱ‘ŽŠŸ’•¢ȱ

˜—ȱŠž˜–˜’ŸŽȱŠ—ȱ™Š›œȱ™›˜žŒ’˜—ǰȱ

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˜‹“ŽŒ’ŸŽœDZ

Ȋȱ ’—’—ȱŠ•Ž›—Š’ŸŽȱŒŠ›ŽŽ›ȱ™Š‘ȱ

˜™™˜›ž—’’Žœȱ˜›ȱ’œ•˜ŒŠŽȱ  ˜›”Ž›œȱ˜›ȱ“˜‹œȱ’—ȱŽ–Š—ȱ

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’— ‘Ž ›ŽŽ— ŽŒ˜—˜–¢

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™›˜“ŽŒŽ œ”’••œ Š™œ ˜ ‘Ž

 ˜›”˜›ŒŽ Š— ‘Ž ›Žšž’›Ž

›Š’—’— —ŽŽŽ ˜ Œ˜–™ŽŽ ˜›

“˜‹œ ’— Ž–Š— Š— ›ŽŽ— “˜‹

˜™™˜›ž—’’Žœ

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˜ŒŒž™Š’˜—œ ‘Š Š›Ž ’— Ž–Š—

˜Š¢ Š— ‘˜œŽ  ’‘ ‘Ž ‹›’‘Žœ

™›˜œ™ŽŒœ ˜› ‘Ž žž›Žǯ ‘Ž ŠŠ

Š›Ž ˜›Š—’£Ž Š›˜ž— ‘Ž ›’Ÿ’—

‘Š—Ž ›ŽœŽŠ›Œ‘ ‘Ž–Žœ ˜ “˜‹œ ’—

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ŽŒ˜—˜–¢ǯ

ŽŒ˜—ǰ ‘Ž Š›’Œ•Ž –˜ŸŽœ ˜— ˜

‘Ž Œ˜—ŒŽ™ ˜ ȃ™Š‘ Š¢ Œ•žœŽ›œǯȄ

’–™•¢ ™žǰ Š ™Š‘ Š¢ Œ•žœŽ›

™›˜Ÿ’Žœ Š œŽ ˜ ˜ŒŒž™Š’˜—Š• ˜™’˜—œ

‘Š Š›Ž  Ž•• Š•’—Ž  ’‘ Š  ˜›”Ž›Ȃœ

”—˜ •ŽŽǰ œ”’•• œŽ Š— ™Ž›œ˜—Š•

›Š’œǯ Š‘ Š¢ Œ•žœŽ›œ Š›Ž —˜ ¢™’ŒŠ•

‹ŽŒŠžœŽ ‘Ž¢ Š›Ž —˜ ˜›Š—’£Ž

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Š–’—’œ›Š’˜—ǯ —œŽŠǰ ™Š‘ Š¢

Œ•žœŽ›œ Š›Ž ˜›Š—’£Ž Š›˜ž— ‹›˜Š

œ’–’•Š›’’Žœ Š— ’ěŽ›Ž—ŒŽœ ‹Ž ŽŽ—

˜ŒŒž™Š’˜—œǯ

‘’›ǰ ‘Ž Š›’Œ•Ž Œ˜—œ’Ž›œ ‘Ž

’–Ž Œ˜––’–Ž— Š— ‘Ž ›Ž•Š’ŸŽ

’ĜŒž•¢ ˜ ›Š—œ’’˜—’— ›˜– ˜—ŽȂœ

˜›’’—Š• ˜ŒŒž™Š’˜— ˜ Š ’ěŽ›Ž—

˜ŒŒž™Š’˜—ǯ ‘Ž ˜Š•  Šœ ˜ ‹˜’•

˜ — ‘Ž Œ˜–™•Ž¡ Œ˜–™˜—Ž—œ ˜

Š  ˜›”Ž›Ȃœ œ”’••œǰ Š— ˜ŒŒž™Š’˜—Ȃœ

—ŽŽœ Š— ‘Ž –ŽŒ‘Š—’œ–œ —ŽŽŽ

˜ –˜ŸŽ ›˜– ˜—Ž “˜‹ ˜ Š—˜‘Ž› ’—˜

˜—Ž ’–Ž—œ’˜—ǯ ‘Š ’–Ž—œ’˜— ’œ

’–Žǯ ‘Ž ›ŽœŽŠ›Œ‘ ŽŠ– ŽŸŽ•˜™Ž

Š ’–Ž ˜ ›Š—œ’’˜— –ŽŠœž›Žȯȃ›’™

’–ŽȄȯ‘Š Œ˜ž• ’—˜›– Š  ˜›”Ž›Ȃœ

ŽŒ’œ’˜— Š‹˜ž  ‘’Œ‘ ŒŠ›ŽŽ› ™Š‘ Š¢

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 ’‘ Š žž›Žǯ ‘’œ —Ž  ™Š‘ Š¢

Œ•žœŽ› Š—Š•¢œ’œ Š— žœŽ ˜ ›’™ ’–Ž

Šœ Š œ’–™•Ž –ŽŠœž›Ž ˜ ŠžŽ ‘Ž ŽŠœŽ

˜› ’ĜŒž•¢ ˜ ŒŠ›ŽŽ› Š•Ž›—Š’ŸŽœ  ’••

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‘Ž –˜œ ŽŠœ’‹•Žǯ Jobs for the Future

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‘Ž›Ž  Ž›Ž ˜ž› ’–™˜›Š— œž›ŸŽ¢

ꗍ’—œDZ

ŗǯ —’Š—Š ‘Šœ Š œ’—’ęŒŠ— —ž–‹Ž›

˜ ›ŽŽ— “˜‹œǯ —’Š—Š ‘Šœ Š—

Žœ’–ŠŽ ŚŜǰŞŝş ’›ŽŒ ›ŽŽ—

“˜‹œ ˜› Š‹˜ž ŗǯŝ ™Ž›ŒŽ— ˜ ‘Ž

 ˜›”˜›ŒŽǯ

Řǯ ŽŒŠžœŽ ‘Ž¢ Š›Ž Œ˜—ŒŽ—›ŠŽ ’—

’—žœ›’Žœ ‘Š Š›Ž Œ¢Œ•’ŒŠ•ǰ ›ŽŽ—

“˜‹œ ’— —’Š—Š Š›Ž –˜›Ž œŽ—œ’’ŸŽ

˜ ŽŒ˜—˜–’Œ Œ¢Œ•Žœǯ

řǯ –™•˜¢Ž›œ œŠŽ ‘Š –˜œ

›ŽŽ— “˜‹œ œ’–™•¢ ›Žšž’›Ž

˜—Ȭ‘ŽȬ“˜‹ ›Š’—’—ǯ ›˜žŒ’˜—

›ŽŽ— “˜‹œǰ ˜› ‘Ž –˜œ ™Š›ǰ ’

—˜ ›Žšž’›Ž œ™ŽŒ’Š• œ”’••œǰ ‹ž “˜‹œ

•’”Ž Ž—’—ŽŽ›’— ’ǯ

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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ŘȳX—’Š—Š —’ŸŽ›œ’¢ Ž••Ž¢ Œ‘˜˜• ˜ žœ’—Žœœǰ —’Š—Š žœ’—Žœœ ŽœŽŠ›Œ‘ Ž—Ž›

Śǯ ‘Ž ˜ŒŒž™Š’˜—œ ‘Š Š›Ž ’—

Ž–Š— ˜Š¢ Š— ™˜’œŽ

˜› ‘’‘ ›˜ ‘ ’— ‘Ž žž›Ž

Š›Ž ‘˜œŽ ›Žšž’›’— Ž¡™Š—Ž

œ”’•• œŽœ Š— ‘’‘Ž› •ŽŸŽ•œ ˜

ŽžŒŠ’˜— Š— ›Š’—’—ǯ

‘’•Ž ‘Ž ›ŽŽ— “˜‹œ œž›ŸŽ¢œ

Šœ”Ž Ž–™•˜¢Ž›œ Š‹˜ž ‘Ž’› ›ŽŽ—

“˜‹œ ‘’›’— Ž¡™ŽŒŠ’˜—œ ’— ‘Ž —Ž¡

 ˜ ¢ŽŠ›œǰ ‘Ž ›ŽœŽŠ›Œ‘ ŽŠ– —ŽŽŽ

Š ›’Œ‘Ž› Š— –˜›Ž Œ˜–™•ŽŽ ŠŠ

œŽ ˜ ŠœœŽœœ ‘Ž žž›Ž ˜ ›ŽŽ— Š—

›˜ ’— “˜‹œǯ ˜ Š—Š•¢£Ž Œž››Ž— “˜‹

˜™™˜›ž—’’Žœ ’— ‘Ž ›ŽŽ— ŽŒ˜—˜–¢ǰ

‘Ž ›ŽœŽŠ›Œ‘ ŽŠ– žœŽ ‘Ž Ž•™

Š—Ž —•’—Ž ǻǼ ŠŠ‹ŠœŽ

›˜– ‘Ž ˜—Ž›Ž—ŒŽ ˜Š› ˜ Ž Š

œ—Š™œ‘˜ ˜ Œž››Ž— ‘’›’— ŠŒ’Ÿ’¢ǯ

‘Ž ›ŽœŽŠ›Œ‘ ŽŠ– žœŽ Š—

* ŠŠ ˜ ŠœœŽœœ •˜—ȬŽ›–

˜ŒŒž™Š’˜—Š• ™›˜œ™ŽŒœ ’— ‘Ž ›’ȬœŠŽ

›Ž’˜—ǯ

Green and Growing Occupations

‘Š ŒŠ›ŽŽ› ˜™™˜›ž—’’Žœ Ž¡’œ

’— ‘Ž ›ŽŽ— ŽŒ˜—˜–¢ǵř Table 1

™›ŽœŽ—œ ‘Ž ˜™ ŗś ›ŽŽ— ˜ŒŒž™Š’˜—

ŸŠŒŠ—Œ¢ ™˜œ’—œ ›˜– ’—

‘Ž ˜ž›‘ šžŠ›Ž› ˜ ŘŖŗŖ ’— ‘Ž

›’ȬœŠŽ Œ˜—œ˜›’ž– ›Ž’˜—ǯ ˜

ž—Ž›œŠ— ‘Ž ›Ž•Š’ŸŽ œ›Ž—‘ ˜

Œž››Ž— Ž–Š— ˜› Š— ˜ŒŒž™Š’˜—ǰ

‘Ž ›ŽœŽŠ›Œ‘ ŽŠ– ŒŠ•Œž•ŠŽ ‘Ž ›Š’˜

˜ ™˜œ’—œ ˜ ‘Ž ŠŸŽ›ŠŽ

ŘŖŖş Ž–™•˜¢–Ž— ’— ‘Š ˜ŒŒž™Š’˜—ǯŚ

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

(5)

—’Š—Š žœ’—Žœœ ŽŸ’Ž ǰ Š•• ŘŖŗŗȳXȳř

˜› ޡЖ™•Žǰ ’— ‘Ž ˜ž›‘ šžŠ›Ž›

˜ ŘŖŗŖǰ ‘Ž›Ž  Šœ ˜—Ž ™˜œ’— ˜›

˜—Ž ŠŽ›˜œ™ŠŒŽ Ž—’—ŽŽ› Œž››Ž—•¢

Ž–™•˜¢Ž ’— ‘Ž œŠŽǯ ‘’œ ’—’ŒŠŽœ

‘’‘ Ž–Š— ˜› ŠŽ›˜œ™ŠŒŽ Ž—’—ŽŽ›œǰ

’— Œ˜—›Šœ ˜ –ŠŽ›’Š• –˜ŸŽ›œ Š—

›Ž’‘ œ˜Œ” ‘Š—•Ž›œ  ’‘ Š ›Š’˜ ˜

˜—Ž ™˜œ’— ˜ ŝś Œž››Ž—  ˜›”Ž›œǯ

ŠœŽ ˜— ™›˜“ŽŒ’˜—œǰ ‘Ž —ŽŽ

˜› ŠŽ›˜œ™ŠŒŽ Ž—’—ŽŽ›œ  ’•• ›˜ 

–˜›Ž ‘Š— ŗŖ ™Ž›ŒŽ—ǰ  ‘’•Ž ‘Ž

Ž–Š— ˜› –ŠŽ›’Š• –˜ŸŽ›œ Š—

›Ž’‘ œ˜Œ” ‘Š—•Ž›œ ’œ Ž¡™ŽŒŽ ˜

ŽŒ•’—Ž ’— ‘Ž —Ž¡ ŗŖ ¢ŽŠ›œǯ

—’Š—ŠȂœ ˜™ ŗś ˜ŒŒž™Š’˜—œ

•Š›Ž•¢ –’››˜› ‘Ž ›’ȬœŠŽ ›Ž’˜—ǯ

œ Ž–Š— ˜› •Š‹˜› Š— ‘Ž ¢™Ž

˜ ˜ŒŒž™Š’˜— ’œ Ž˜›Š™‘’ŒŠ••¢

ŽŽ›–’—Žǰ Š  ˜ž•Ȭ‹Ž “˜‹ œŽŽ”Ž›

œ‘˜ž• Œ˜—œ’Ž› ‘Ž •Š‹˜› Ž–Š—

’— ‘’œ ˜› ‘Ž› Š›ŽŠǯ ˜› ޡЖ™•Žǰ ‘Ž

˜ŒŒž™Š’˜—Š• Ž–Š— ˜› Š–’—

œž™Ž›Ÿ’œ˜›œ ’œ Ž™Ž—Ž— ž™˜— ‘Ž

™›ŽœŽ—ŒŽ ˜ Š ŒŠœ’—˜ǯ ‘Ž

™ž‹•’œ‘Žœ ‘Ž ȃ˜˜œ’Ž› ˜ śŖȄ “˜‹œ

˜› ŽŠŒ‘ ˜ ‘Ž œŠŽȂœ ŗŗ ŽŒ˜—˜–’Œ

›˜ ‘ ›Ž’˜—œ ˜ ‘Ž•™ ˜—Ž Ž¡™•˜›Ž

›Ž’˜—Š• Ž–Š—ǯś

Other Growing Occupations

ŸŽ— ‘˜ž‘ –Š—¢ ŒŠ›ŽŽ›

˜™™˜›ž—’’Žœ Ž¡’œ ’— ‘Ž ›ŽŽ—

ŽŒ˜—˜–¢ǰ ‘Ž Ž–Š— ˜› —˜—Ȭ›ŽŽ—

“˜‹œ ǻŠœ ŽŸ’Ž—ŒŽ ‹¢ ‘Ž –˜›Ž

ŠŸ˜›Š‹•Ž ™˜œ’—œȬ˜ȬŽ–™•˜¢–Ž—

›Š’˜œ ’— ‘’œ œŽŒ’˜—Ǽ ’—’ŒŠŽ ‘Š

—˜—Ȭ›ŽŽ— “˜‹œ œ‘˜ž• Š•œ˜ ‹Ž

Ž¡™•˜›Ž Šœ ŒŠ›ŽŽ› Š•Ž›—Š’ŸŽœ ˜› ‘Ž

’œ™•ŠŒŽ  ˜›”˜›ŒŽǯ

Table 2 ™›ŽœŽ—œ ‘Ž ›Ž’˜—Ȃœ

˜™ ŗś —˜—Ȭ›ŽŽ— ˜ŒŒž™Š’˜— “˜‹

ŸŠŒŠ—Œ¢ ™˜œ’—œ ›˜– ’—

‘Ž ˜ž›‘ šžŠ›Ž› ˜ ŘŖŗŖǯ ‘Ž ˜™

ŗś ˜ŒŒž™Š’˜—œ ŠŒŒ˜ž— ˜› –˜›Ž

‘Š— Řś ™Ž›ŒŽ— ˜ Š•• —˜—Ȭ›ŽŽ—

™˜œ’—œǯ Ž’ŒŠ• Š— ‘ŽŠ•‘Ȭ›Ž•ŠŽ

˜ŒŒž™Š’˜—œ ˜–’—ŠŽ ‘Ž •’œǯ ˜—Ž

˜ ‘Ž —˜—Ȭ›ŽŽ— ˜ŒŒž™Š’˜—œ ‘Š ˜™

‘Ž •’œ Š›Ž ’— –Š—žŠŒž›’—ǯ

‘Ž‘Ž› ˜—Ž ’œ Š —Ž  Ž—›Š— ˜

‘Ž •Š‹˜› ˜›ŒŽ ˜› Š  ˜›”Ž› ŠěŽŒŽ

‹¢ ‘Ž ›ŽŠ ŽŒŽœœ’˜— Š—  ’œ‘’—

˜ ›Š—œ’’˜— ˜ Š—˜‘Ž› ˜ŒŒž™Š’˜—ǰ

‘Ž ™›˜ŒŽœœ ˜  ’——˜ ’— ˜ — ‘Ž

‘ž—›Žœ ˜ ™˜œœ’‹•Ž ˜ŒŒž™Š’˜—œ

’—˜ Š –Š—ŠŽŠ‹•Ž Š— ›ŽŠ•’œ’Œ œŽ ˜

Š›Ž ˜ŒŒž™Š’˜—œ ŒŠ— ‹Ž Šž—’—ǯ

‘Ž —Ž¡  ˜ œŽŒ’˜—œ ™›ŽœŽ— —Ž 

›Žœ˜ž›ŒŽœ ˜›  ˜›”Ž›œ ’— ›Š—œ’’˜— ˜

ꗍ ‘˜œŽ Š›Ž ˜ŒŒž™Š’˜—œǯ Career Pathway Clusters

˜  ŒŠ— Š ’œ•˜ŒŠŽ  ˜›”Ž› ™•˜ Š

™Š‘ ˜ Š —Ž  “˜‹ ‘Š žœŽœ ‘Ž œ”’••

œŽ ‘Ž ˜› œ‘Ž ‘Šœ ŽŸŽ•˜™Ž ˜ŸŽ› ‘Ž

¢ŽŠ›œǵ ‘Ž ȃ™Š‘ Š¢ Œ•žœŽ›Ȅ ˜˜•

’œ ‘Ž ꛜ œŽ™ ’— Š›Žœœ’— ‘’œ

šžŽœ’˜—ǯ

‘Ž ˜™Ž›Š’— ™›’—Œ’™•Ž ˜› ‘Ž

™Š‘ Š¢ Œ•žœŽ› Œ˜—ŒŽ™ ’œ ‘Š

 ˜›”Ž›œ  ’•• œŽŽ”ǰ Š— ‹Ž –˜œ

™›˜žŒ’ŸŽ ’—ǰ ˜ŒŒž™Š’˜—œ ‘Š

Š›Ž –˜œ œ’–’•Š› ˜ ‘Ž’› Œž››Ž—

˜› ˜›–Ž› “˜‹œǯ ŠœŽ ˜— *Ȃœ

˜ŒŒž™Š’˜— ŽœŒ›’™’˜— ŒŠŽ˜›’Žœǰ

˜ŒŒž™Š’˜—œ Š›Ž ›˜ž™Ž ’—˜ Š

™Š‘ Š¢ Œ•žœŽ› ‹ŠœŽ ˜— œ’–’•Š›’’Žœ

’—  ˜›”Ž› ›Žšž’›Ž–Ž—œǰ  ˜›”Ž› ›Š’œ

Š— ˜ŒŒž™Š’˜—Š• ›Žšž’›Ž–Ž—œǯŜ

ŽŒŠžœŽ ™Š‘ Š¢ Œ•žœŽ›œ Š›Ž

Œ˜—œ›žŒŽ ‹ŠœŽ ˜— ˜ŒŒž™Š’˜—Š•

Š—  ˜›”Ž› œ’–’•Š›’’Žœǰ ›Š—œ’’˜—œ

›˜– ˜—Ž ™Š‘ Š¢ Œ•žœŽ› ˜ Š

’ěŽ›Ž— Œ•žœŽ›  ˜ž• ‹Ž ›Ž•Š’ŸŽ•¢

–˜›Ž ’ĜŒž•ǯ

”Ž¢ ŠŸŠ—ŠŽ ˜ ™Š‘ Š¢

Œ•žœŽ›œ ˜ŸŽ› ˜‘Ž› ŒŠ›ŽŽ› ›Š—œ’’˜—

›Žœ˜ž›ŒŽœ ’œ ‘Š ‘Ž žœŽ› ’œ ™›˜Ÿ’Ž

Š œŽ ˜ –Š—¢ ™˜œœ’‹•Ž Š›Ž

˜ŒŒž™Š’˜—œǰ ›Š‘Ž› ‘Š— ˜—Ž Š Š

’–Žǯ ˜–‹’—Ž  ’‘ ‘Ž œ”’••œȬ

Š™ Š—Š•¢œ’œ ǻ’— ‘Ž —Ž¡ œŽŒ’˜—Ǽǰ Š  ˜›”Ž› ’— ›Š—œ’’˜— ŒŠ— “žŽ ‘Ž

›Ž•Š’ŸŽ ŽŠœŽ ›Žšž’›Ž ˜ –˜ŸŽ ›˜–

˜—Ž ˜ŒŒž™Š’˜— ˜ Š—˜‘Ž›ǯ •œ˜ǰ ‘Ž

™Š‘ Š¢ Œ•žœŽ› Š™™›˜ŠŒ‘ žœŽœ Š••

˜ŒŒž™Š’˜— ŽœŒ›’™’˜— ŒŠŽ˜›’Žœ ˜

*ǰ —˜ “žœ Š œž‹œŽǯ

— ˜›Ž› ˜ Œ›ŽŠŽ ™Š‘ Š¢ Œ•žœŽ›œǰ

‘Ž ›ŽœŽŠ›Œ‘ ŽŠ– Š—Š•¢£Ž Š›˜ž—

śŖŖ ’–Ž—œ’˜—œ Š— Œ‘Š›ŠŒŽ›’œ’Œœ

˜› ŽŠŒ‘ ˜ŒŒž™Š’˜—ǯ ‘Ž ›ŽœŽŠ›Œ‘

ŽŠ– Œ˜–™›ŽœœŽ ‘ŽœŽ ’—˜ ‘›ŽŽ

*Ȭ¢™Ž ŒŠŽ˜›’Žœ ˜ ŽŸŽ•˜™

™Š‘ Š¢ Œ•žœŽ›œDZ

Ȋ Requirements of the worker:

˜›”Ž› ›Žšž’›Ž–Ž—œ ‘Š

ŒŠ— ‹Ž Š’—Ž ‹¢ ‘Ž  ˜›”Ž›

‘›˜ž‘ œž¢ ˜› ›Š’—’—

Ȋ Traits of the worker: The

’—e›—Š• ˜› ™e›œ˜—Š• ›Š’œ ˜

 ˜›”e›œ  h˜ Š›e ›Š — ˜ȯ˜›

™e›˜›–  e•• ’—ȯhe ˜ŒŒž™Š’˜—

Ȋ Occupational requirements:

The ›ešž’›e–e—œ ˜› he “˜‹ǰ

œžŒh Šœ  ˜›” ŠŒ’Ÿ’’eœ ǻeǯǯǰ

•’’— heŠŸ¢ ˜‹“eŒœǰ ™e›œ˜—Š•

’—e›ŠŒ’˜—œ ˜› Šhe›’— ŠŠǼ

˜–™›eœœ’— he *T ŠŠȯ

›e–˜Ÿ’— ŒhŠ›ŠŒe›’œ’Œœ hŠ ˜Ÿe›•Š™

Š— ›eŠ•’—’— he ›e–Š’—’—

˜ŒŒž™Š’˜— ŒhŠ›ŠŒe›’œ’Œœȯ–eŠ—œ

hŠ ™Šh Š¢ Œ•žœe› eꗒ’˜—œ

The operating principle for the pathway cluster

concept is that workers will seek, and be

most productive in, occupations that are most similar to their current or former jobs.

A key advantage of pathway clusters over

other career transition resources is that the

user is provided a set of many possible target

occupations, rather than one at a time.

(6)

ŚȳX—’Š—Š —’Ÿe›œ’¢ e••e¢ Œh˜˜• ˜ žœ’—eœœǰ —’Š—Š žœ’—eœœ eœeŠ›Œh e—e›

 ’•• —˜ ‹e ˜—eȬ˜Ȭ˜—e  ’h *

‹ž he e—e›Š• h›žœ ˜ he *T

–eh˜ ›e–Š’—œ ’—ŠŒǯ Table 3 œh˜ œ h˜  he ŝřŗ

˜ŒŒž™Š’˜—œ  e›e ›˜ž™e Š–˜—

œeŸe— ™Šh Š¢ Œ•žœe›œǯ ŒŒž™Š’˜—œ

 e›e Š’›•¢ eŸe—•¢ ’Ÿ’e Š–˜—

heœe œeŸe— Œ•žœe›œǰ e¡Œe™ ˜›

he ™Š›’Œž•Š›•¢ •Š›e ™›˜žŒ’˜—ǰ

Œ˜—œ›žŒ’˜— Š— e—’—ee›’— ȃœž™e›

Œ•žœe›ǯȄ Th’œ Œ•žœe›  Šœ ž›he›

œž‹’Ÿ’e ’—˜ ŗǼ e—’—ee›’— Š—

Š™™•’e eŒh—˜•˜¢ǰ ŘǼ Œ˜—œ›žŒ’˜—

Š— e¡›ŠŒ’˜—ǰ ešž’™–e— ˜™e›Š’˜—ǰ

Š— ›e™Š’›ǰ Š— řǼ eœ’— Š—

™›˜žŒ’˜—ǯ

›ee— ˜ŒŒž™Š’˜—œ Š›e Š’›•¢  e••

’œ›’‹že ŠŒ›˜œœ Œ•žœe›œǰ  ’h he e¡Œe™’˜— ˜ he heŠ•hǰ œ˜Œ’Š• Š—

™e›œ˜—Š• œe›Ÿ’Œeœ Œ•žœe›ǯ —¢  ˜›”e›

’—e›eœe ’— –Š”’— Š ›Š—œ’’˜— ˜ Š

›ee— ˜ŒŒž™Š’˜—  ˜ž• •’”e•¢ hŠŸe

œeŸe›Š• ›ee— Š›e ˜ŒŒž™Š’˜—œ

 ’h’— he’› Œ•žœe› ˜›  h’Œh he¢

hŠŸe Š ›e•Š’Ÿe•¢ œ’–’•Š› œ”’•• œe Š—

 ˜›”e› ›Š’œǯ

™ŠŒe ˜eœ —˜ Š••˜  Š Œ˜–™•ee

eŠ’•e ‹›eŠ”˜ — ˜ he

˜ŒŒž™Š’˜—œ ’— eŠŒh ™Šh Š¢ Œ•žœe›

Š— he ˜–’—Š— ŒhŠ›ŠŒe›’œ’Œœ hŠ

‹ž—•e ˜ŒŒž™Š’˜—œ ’—˜ Š Œ•žœe›ǯ The ž•• ›e™˜›ǰ ŠŸŠ’•Š‹•e Š    ǯ

›’Ÿ’— ˜›”˜›ŒeŒhŠ—eǯ˜›Ȧ›e™˜›œȦ

ŒŠ›ee›™Šh Š¢œǯ™ǰ eœŒ›’‹eœ he

Œ•žœe›œ ’— ›eŠe› eŠ’•ǯ

Finding and Closing the Skills Gap The ™Šh Š¢ Œ•žœe› Š—Š•¢œ’œ ›˜ž™œ

˜ŒŒž™Š’˜—œ ‹Šœe ˜— he œ’–’•Š›’’eœ

Š— ’ěe›e—Œeœ ˜ ˜Ÿe› śŖŖ “˜‹ Š—

 ˜›”e› ŒhŠ›ŠŒe›’œ’Œœǯ Thžœǰ he

›’Ÿ’— hŠ—e ™›˜“eŒ hŠœ —˜ ˜—•¢

’e—’ęe he ’œ™•ŠŒe  ˜›”e›œ Š—

he ›ee— Š— ›˜ ’— ˜ŒŒž™Š’˜—œ

˜ ™›˜–’œeǰ ‹ž eŸe•˜™e Š ›eœ˜ž›Œe

hŠ ŒŠ— ’e—’¢ ˜ŒŒž™Š’˜—œ hŠ

Š›e ›e•Š’Ÿe•¢ œ’–’•Š› ˜ he ˜›’’—Š•

˜ŒŒž™Š’˜— ˜ he ’œ™•ŠŒe  ˜›”e›ǯ TABLE 2:Tri-State Top 15 Non-Green Occupation Postings and Expected Growth to 2018

Note: All occupations in this table fall within the “Miscellaneous Industries Not Elsewhere Classified” industry group.

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

HWOL Green Postings1

10-Year Expected

Growth2

Postings-to- Employment

Ratio3

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

Administrative Support Workers 7,662 11.0% 1 : 13 $48,399

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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—’Š—Š žœ’—eœœ eŸ’e ǰ Š•• ŘŖŗŗ Xȳś e¡ǰ  e Š›eœœ he šžeœ’˜—œ

˜ h˜  •˜— Š— h˜  ’ĜŒž• he

›Š—œ’’˜—  ’•• ‹e ›˜– Š— ˜›’’—Š’—

˜ŒŒž™Š’˜— ˜ Š eœ’—Š’˜—

˜ŒŒž™Š’˜—ǯ ’”e he œe•eŒe

˜ŒŒž™Š’˜—œ ›˜– he ™›˜žŒ’˜—

Œ•žœe› ™›eœe—e ’— Figure 1ǰ he›e ’œ

Š ’œŠ—Œe ‹e ee— he–ǯ —e ŒŠ——˜

œ’–™•¢ “ž–™ ›˜– ˜—e “˜‹ ˜ Š—˜he›ǯ

˜  hŠ  ’•• ’ Š”e ˜ e ›˜– ˜—e

˜ŒŒž™Š’˜— ˜ Š—˜he›ǵ The ›e•Š’Ÿe

’œŠ—Œe ‹e ee— ˜ŒŒž™Š’˜—œ ’œ he

œ”’••œ Š™ȯhe ežŒŠ’˜—ǰ ›Š’—’—

˜› Š™™›e—’Œeœh’™ ’–e ›ešž’›e ˜

›Š—œ’’˜— ›˜– ˜—e ˜ŒŒž™Š’˜— ˜

Š—˜he›ǯ

The ’–e ˜ ›Š—œ’’˜—ȯhe ȃ›’™Ȭ

’–e –eh˜Ȅȯ’œ ȃŠ ꛜȄ ‹eŒŠžœe

’ Œ˜–™›eœœeœ Š•• he ’ěe›e—Œeœ

‹e ee— ˜ŒŒž™Š’˜—œ ’—˜ Š Œ˜––˜—

—ž–·›Š’›eǰ —Š–e•¢ he ™›e™Š›Š’˜—

˜› ›e›Š’—’— ’–e ’  ˜ž• Š”e

˜ ŒhŠ—e “˜‹œǯ The œ”’••œ Š™ ’œ

™›’–Š›’•¢ Š ”—˜ •ee ˜› hž–Š—

ŒŠ™’Š• Š™ǯ •˜œ’— he ”—˜ •ee

Š™ ŒŠ— Š”e –˜—hœ ˜› ¢eŠ›œ ’—

he Œ•Šœœ›˜˜– eŠ›—’— Œ›e’œ Š—

e›eeœǰ “žœ Šœ Œ•˜œ’— –Š—¢ ¢™eœ ˜

œ”’••œ Š™œ ›ešž’›eœ –Š—¢ –˜—hœ ˜›

eŸe— ¢eŠ›œ Šœ Š— Š™™›e—’Œeǯ The ›’™Ȭ

’–e –eh˜ –eŠœž›eœ he ’œŠ—Œe

˜ Š œ”’••œ Š™ Š— he ›e•Š’Ÿe eŠœe

˜ –˜Ÿ’— ›˜– ˜—e ˜ŒŒž™Š’˜— ˜

Š—˜he›ǯ

— œh˜›ǰ ’–e ’œ he ’–e—œ’˜— ˜›

–eŠœž›’— Š œ”’••œ Š™DZ h˜  •˜— he

“˜ž›—e¢ ’œ ˜ –˜Ÿe ›˜– ˜ŒŒž™Š’˜—

˜ ˜ŒŒž™Š’˜— ǯ The›e Š›e –Š—¢

˜he› Œ˜—œ’e›Š’˜—œǰ ˜ Œ˜ž›œeǯ

™Šh hŠ –eŠ—œ ™Š¢’— •Š›e œž–œ

˜› ž’’˜—  ˜ž• —˜ ‹e eŠœ’‹•e

˜› –Š—¢ǯ Š—¢  ˜ž• ›ž•e ˜ž Š

path

›ešž’›’—

’—Ȭ›eœ’e—Œe

Œ˜ž›œe  ˜›” a›

a a¢ ›˜– h˜–eǯ žt t›’p t’–e Œa— ›ep›eœe—t the

’ěe›e—Œe ‹et ee—  ˜›”’— ’—

˜—e ˜ŒŒžpat’˜— a— –’›at’— t˜

a—˜the›ǯ

The ›eœea›Œh tea– e—ha—Œe ˜the›

–eth˜œ that žœe t’–e aœ the p›’–a›¢

ap Œ•˜œ’— –eaœž›eǯ *Tǰ ˜›

e¡a–p•eǰ œž›Ÿe¢œ ’—Œž–‹e—t  ˜›”e›œ

t˜ ete›–’—eǰ a–˜— –a—¢ th’—œǰ the •eŸe• ˜ p›˜ęŒ’e—Œ¢ —eŒeœœa›¢

˜› a  ’e ›a—e ˜  ˜›”e› a— “˜‹

Œha›aŒte›’œt’Œœ a— the ežŒat’˜—a•

a— t›a’—’— t’–e ’t  ˜ž• ta”e ˜›

a— ’—’Ÿ’ža• t˜ ‹eŒ˜–e p›˜ęŒ’e—t at a pa›t’Œž•a› “˜‹ǯ T˜ the e¡te—t p˜œœ’‹•eǰ the eœt’–ate h˜ž›œ

›ešž’›e ˜› ežŒat’˜— a— t›a’—’—

 e›e –ae Œ˜—œ’œte—t aŒ›˜œœ ’ěe›e—t

˜›–atœȯaŒae–’Œǰ Ÿ˜Œat’˜—a• ˜›

app›e—t’Œeœh’pœǯ Th’œ  aœ —˜ eaœ¢

taœ” a—ǰ aœ a ›eœž•tǰ t›’p t’–eœ œh˜ž•

—˜t ‹e ta”e— •’te›a••¢ ‹žt ›athe› aœ

a –eaœž›e ˜ Œ˜–pa›’œ˜— ‹et ee—

’ěe›e—t Œa›ee› t›a—œ’t’˜—œǯ The ›eœea›Œh tea– eœt’–ate

the •˜—eœt œešže—Œe ˜ Œ˜ž›œeœ

˜› t›a’—’— ›ešž’›e t˜ ž•ę•• the

–˜œt ’–p˜›ta—t ”—˜ •ee ˜› œ”’••œ

›ešž’›e–e—t ˜› a— ˜ŒŒžpat’˜—ǯ Th’œ

œešže—Œe ’œ the ˜–’—a—t œ”’••œ apǯ T›’p t’–eǰ the—ǰ ’œ the œ”’••œ ap

–eaœž›e ’— h˜ž›œ ˜ p›epa›at’˜—ǯ

 the path a¢ Œ•žœte›œ a›e h˜ 

˜ŒŒžpat’˜—œ a›e ›˜žpe ’— t ˜

’–e—œ’˜—œǰ the— Figure 2 œh˜ œ TABLE 3:Summary of Career Pathway Clusters

§ 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)

Cluster Name§

Cluster ID

Number of Occupations

Number of Green¤

Information and Investigation 1 62 12

Health, Social and Personal Services 2 90 0

Production, Construction and Engineering 3 217 55

Engineering and Applied Technology 3a 75 26

Construction and Extraction, Equipment

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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ŜȳX—’a—a —’Ÿe›œ’t¢ e••e¢ Œh˜˜• ˜ žœ’—eœœǰ —’a—a žœ’—eœœ eœea›Œh e—te›

h˜  t›’p t’–eǰ ˜› p›epa›at’˜— t’–eǰ ’œ

–eaœž›e ’— the th’› ’–e—œ’˜—ǯ The path a¢ Œ•žœte› –eth˜ žœe

t˜ ›˜žp ˜ŒŒžpat’˜—œ –’ht œžeœt that a••  ’th’—ȬŒ•žœte› t›’p t’–eœ

 ˜ž• ‹e •eœœ tha— t›’p t’–eœ ‹et ee—

Œ•žœte›œǰ ‹žt th’œ ’œ —˜t a• a¢œ t›žeǯ

ŒŒžpat’˜—œ  e›e ›˜žpe ’—t˜

path a¢ Œ•žœte›œ aŒŒ˜›’— t˜ –a—¢

Œ›’te›’a ’—Œ•ž’— pe›œ˜—a• t›a’tœ ˜

the  ˜›”e› ǻœžŒh aœ h’h•¢ œ˜Œ’a•Ǽ a—  ˜›” aŒt’Ÿ’t’eœ ǻœžŒh aœ ha—•’—

heaŸ¢ ˜‹“eŒtœǼǰ —˜t “žœt ”—˜ •ee a— œ”’•• •eŸe•œǯ œ a ›ž•eǰ h˜ eŸe›ǰ ’t

’œ eaœ’e› t˜ –˜Ÿe  ’th’— Œ•žœte›œǯ

Research into Practice eŸe›a• ’œp•aŒe ažt˜ ˜›”e›

˜ŒŒžpat’˜—œ Œa— œe›Ÿe aœ e¡a–p•eœ

t˜ œh˜  that eaŒh ˜ŒŒžpat’˜— haœ

œeŸe›a• ˜pt’˜—œ a— that eaŒh ˜—e haœ

a— e¡peŒte a–˜ž—t ˜ t’–e t˜ –a”e the ˜ŒŒžpat’˜— t›a—œ’t’˜—ǯ Table 4 p›˜Ÿ’eœ t ˜ t›a—œ’t’˜— ˜pt’˜—œ ˜›

œe•eŒte ažt˜–˜t’Ÿe ˜ŒŒžpat’˜—œǰ ˜—e  ’th’— the ˜›’’—at’— Œ•žœte› a— ˜—e

˜žtœ’eǯ Theœe e¡a–p•eœ a•œ˜ haŸe

›e•at’Ÿe•¢ œh˜›t t›’p t’–eœǰ  h’Œh

œ˜–e  ˜›”e›œ –a¢ p›ee› ’— ˜›e›

t˜ a˜pt —e  Œa›ee› ˜pp˜›tž—’t’eœ

aœ šž’Œ”•¢ aœ p˜œœ’‹•eǯ ˜›e˜Ÿe›ǰ t›a—œ’t’˜—œ  ’th’— the œa–e path a¢

Œ•žœte› a••˜   ˜›”e›œ t˜ –˜Ÿe t˜ a—

˜ŒŒžpat’˜— that ’œ –žŒh –˜›e œ’–’•a›

t˜ the’› p›eŸ’˜žœ ˜ŒŒžpat’˜— ’— te›–œ

˜  ˜›”e› ›ešž’›e–e—tœǰ  ˜›”e› t›a’tœ

a— “˜‹ ›ešž’›e–e—tœǯ

›˜žŒt’˜— he•pe›œ Œa— –a”e

›e•at’Ÿe•¢ aœt t›a—œ’t’˜—œ ‹˜th  ’th’—

the’›

Œ•žœte›

t˜ –aŒh’—e

œeĴe›ǰ ˜pe›at˜› a—

te—e› p˜œ’t’˜—œ ˜›

˜žtœ’e the’› Œ•žœte› t˜ t›žŒ”

›’Ÿe›œǰ heaŸ¢ a— t›aŒt˜›Ȭt›a’•e›

˜pe›at˜›œǯ h’•e the ›e•at’Ÿe t›’p t’–e

’œ the œa–e ˜› theœe t ˜ eœt’—at’˜—

˜ŒŒžpat’˜—œȯa— ˜—e –žœt ‹e a a›e that the t›’pȬt’–e –eaœž›eǰ

•’”e ˜the› a•te›—at’Ÿe Œa›ee› t˜˜•œǰ ’œ

—˜t pe›eŒtȯ˜ŒŒžpat’˜—œ  ’th’— a

Œ•žœte› œha›e –a—¢ œ’–’•a›’t’eœǯ The

’œ•˜Œate  ˜›”e›  ˜ž• p›˜‹a‹•¢

ee• –˜›e Œ˜–˜›ta‹•eǰ a— pe›˜›–

‹eĴe›ǰ ’— a— ˜ŒŒžpat’˜— ’— h’œ ˜› he›

Œ•žœte›ǯ

’–’t’— t›a—œ’t’˜—œ ›˜– ažt˜

œeŒt˜› ˜ŒŒžpat’˜—œ t˜ ˜—•¢ ›ee—

˜ŒŒžpat’˜—œ ›eat•¢ ›ežŒeœ a

’œp•aŒe  ˜›”e›Ȃœ ˜pt’˜—œǯ — the t›’Ȭœtate ›e’˜—ǰ —˜—Ȭ›ee— “˜‹œ

Œ˜–p›’œe a•–˜œt ŞŘ pe›Œe—t ˜ a••

a•• ŘŖŗŖ p˜œt’—œǯ Table 5 p›eœe—tœ a œa–p•’— ˜ —˜—Ȭ›ee—

Œa›ee› t›a—œ’t’˜— a•te›—at’Ÿeœ ˜› tea–

aœœe–‹•e›œ a— p›˜žŒt’˜— he•pe›œ

 ’th ›e•at’Ÿe•¢ œh˜›t t›’p t’–eœǯ

Closing the Gap

—e ˜ the ›’Ÿ’— ha—e p›˜“eŒt

˜a•œ  aœ t˜ eŸe•˜p a ›eœ˜ž›Œe t˜

he•p ’œp•aŒe  ˜›”e›œ p•˜t a pathǰ

’— œ˜–e Œaœeœ a ›ee— pathǰ t˜ a

—e  žtž›eǯ ˜›”e›œ Œ˜—œ’e›’— a t›a—œ’t’˜— t˜ a —e  ˜ŒŒžpat’˜—  ˜ž•

a•œ˜ ‹e—eęt ›˜– ”—˜ ’— the’›

›et›a’—’— a— ežŒat’˜— ˜pt’˜—œǯ œ a ›eœž•tǰ the ›’Ÿ’— ha—e  e‹œ’te a•œ˜ p›˜Ÿ’eœ a  e‹Ȭ‹aœe ›eœ˜ž›Œe t˜ •˜˜” žp ežŒat’˜—a•ǰ t›a’—’— a—

Ÿ˜Œat’˜—a• p›˜›a–œ ˜› ›ee— a—

›˜ ’— ˜ŒŒžpat’˜—œǯ aœe ˜— the’›

ta›ete ˜ŒŒžpat’˜—ǰ žœe›œ Œa— ꗍ

FIGURE 2:Trip Times to Transition from an Industrial Machinery Mechanic to Selected Occupations

Source: Indiana Business Research Center

Auto Sector Occupation Destination Occupation

Occupation

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

3b 370

Truck Drivers, Heavy and Tractor-Trailer 6 370

First-Line Supervisors/

Managers of Production and Operating Workers

5 First-Line Supervisors/Managers of Farming, Fishing, and Forestry Workers

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

Center

(9)

—’a—a žœ’—eœœ eŸ’e ǰ a•• ŘŖŗŗȳXȳŝ a•• the ›e•eŸa—t p˜œtœeŒ˜—a›¢ œŒh˜˜•œ

˜ěe›’— p›˜›a–œ ˜› that ˜ŒŒžpat’˜—

 ’th’— the’› œe•eŒte e˜›aph’Œ

‹˜ž—a›¢ǯ

žŒat’˜— a—  ˜›”˜›Œe

eŸe•˜p–e—t p˜•’Œ¢–a”e›œ –a¢

a•œ˜ ꗍ theœe ›eœ˜ž›Œeœ ˜ žœe

‹eŒažœe the ata p›eœe—t the

›e•at’Ÿe Œ˜—Œe—t›at’˜— ˜› œŒa›Œ’t¢ ˜

ežŒat’˜—a• p›˜›a–œ at a h’h•¢

›a—ž•a› e˜›aph’Œ •eŸe•ǯ ˜›

eŒ˜—˜–’Œ eŸe•˜p–e—t p›aŒt’t’˜—e›œ

 h˜ –a¢ ‹e t›¢’— t˜ Œž•t’Ÿate the ›˜ th ˜ ꛖœ ˜› aĴ›aŒt

—e  ’—Ÿeœt–e—tǰ ’t –a¢ e¡p˜œe a

›e’˜—Ȃœ t›a’—’—  ea” œp˜tœǯ  a

›e’˜— ˜eœ —˜t haŸe a œpeŒ’a••¢

t›a’—e  ˜›”˜›Œeǰ  hat ežŒat’˜—a•

p›˜›a–œ a›e —ea›‹¢ t˜ ꕕ the apǵ Theœe ›eœ˜ž›Œeœǰ t˜˜•œ a— a—a•¢œ’œ

a›e ˜—•’—e a— ›ee ˜ Œha›e at    ǯ›’Ÿ’— ˜›”˜›ŒeŒha—eǯ˜›ǰ he•p’— t˜a¢Ȃœ ’œp•aŒe  ˜›”e›œ

’— the t›’Ȭœtate ›e’˜— ꗍ œž’ta‹•e e–p•˜¢–e—tǰ ‹žt a•œ˜ œe›Ÿ’— aœ

a ˜ž—at’˜— ˜› e¡pa—’— the  ˜›”˜›Œe eŸe•˜p–e—t t˜˜•”’t ’— the

žtž›eǯ

Notes

ŗǯ The ›’Ÿ’— ha—e œtž¢ haœ ‹ee—

a Œ˜••a‹˜›at’Ÿe e옛t ˜  ˜›”˜›Œe

eŸe•˜p–e—t ae—Œ’eœ ˜ —’a—aǰ ’Œh’a—

a— h’˜ a— the’› œt›ate’Œ pa›t—e›œǯ Th’œ

p›˜“eŒt  aœ œžpp˜›te ‹¢ a ›a—t ›˜– the

–p•˜¢–e—t a— T›a’—’— –’—’œt›at’˜—

˜ the ǯǯ epa›t–e—t ˜ a‹˜›ǯ The

Œa›ee› path a¢ a— t›’pȬt’–e ›eœea›Œh  aœ

Œ˜—žŒte ‹¢ the —’a—a žœ’—eœœ eœea›Œh e—te› at —’a—a —’Ÿe›œ’t¢Ȃœ e••e¢

Œh˜˜• ˜ žœ’—eœœ a— the eœea›Œh a—

—a•¢œ’œ ’Ÿ’œ’˜— ˜ the —’a—a epa›t–e—t

˜ ˜›”˜›Œe eŸe•˜p–e—tǯ •• ›’Ÿ’—

ha—e ›eœea›Œh ꗍ’—œǰ ›ep˜›tœ a—

›eœ˜ž›Œeœ a›e aŸa’•a‹•e atDZ    ǯ›’Ÿ’— ˜›”˜›ŒeŒha—eǯ˜›ǯ Řǯ The Œ˜–p•ete ›ep˜›t ˜— —’a—a

›ee— ˜‹œ Œa— ‹e ˜ž— atDZ    ǯ

›’Ÿ’— ˜›”˜›ŒeŒha—eǯ˜›Ȧ›ee—“˜‹œǯaœpǯ řǯ The Œ•aœœ’ęŒat’˜— ˜ ›ee— “˜‹œ ›e•’eœ žp˜—

the ˜ĜŒ’a• œ•ate ˜ ŘŖŘ ›ee— ˜ŒŒžpat’˜—œ

›˜– *Tǯ žt ˜ ŗǰŗŗŖ ˜ŒŒžpat’˜—œ ’— the ŘŖŗŖ Ÿ’—tae ˜ the œta—a› ˜ŒŒžpat’˜—a•

Œ˜eǰ ŘŖŘ a›e eę—e aœ ›ee— ‹¢ * ee ›’Œh ǯ ’e›˜›ěǰ e——’e› ǯ ˜›t˜—ǰ

˜—a• ǯ ›e eœǰ h›’œt’—a ǯ ›˜žœta•’œǰ aŸ’ ’Ÿ”’—ǰ a— h’• e ’œǰ ȃ ›ee—’— ˜

the ˜›• ˜ ˜›”DZ –p•’Œat’˜—œ ˜› * a— e  a— –e›’— ŒŒžpat’˜—œǰȄ e‹›ža›¢ ŘŖŖşǰ    ǯ˜—etŒe—te›ǯ˜›Ȧ›ep˜›tœȦ ›ee—ǯht–•ǯ

Śǯ ˜› e¡a–p•eǰ ’ ›ep˜›tœ a— ˜ŒŒžpat’˜—

’— —’a—a ha Řś p˜œt’—œ a— the t˜ta•

—ž–‹e› ˜  ˜›”e›œ ’— that ˜ŒŒžpat’˜— ’œ

ŗŖŖǰ the p˜œt’—œȬt˜Ȭe–p•˜¢–e—t ›at’˜

’œ ŗDZŚǯ Thžœǰ the —ž–‹e› ˜ p˜œt’—œ ˜›

–a›”et’— –a—ae›œ ’œ a •a›e p›˜p˜›t’˜—

˜ a•• –a›”et’— –a—ae›œ  ˜›”’— ’— the

œtate ’— ŘŖŖşǯ The ažth˜›œ aŒ”—˜ •ee that a p˜œt’— –a¢ ›eĚeŒt a t›že

“˜‹ ˜pe—’—ǰ –a¢ ‹e the ›eœž•t ˜ a hž–a—

›eœ˜ž›Œe epa›t–e—t  a—t’— t˜ ‹ž’• the’›

›eœž–e p˜˜• ˜› ˜the› ’œe —˜t ›ep›eœe—t a t›že “˜‹ ˜pe—’—ǯ Thžœǰ the p˜œt’—Ȭt˜Ȭ e–p•˜¢–e—t ›at’˜ ’œ a ›e•at’Ÿe –eaœž›e ˜ a

“˜‹Ȭœee”e›Ȃœ Œ˜–pet’t’˜—ǯ

śǯ The ›e’˜—a• •’œtœ Œa— ‹e aŒŒeœœe at hĴpœDZȦȦ—etœ˜•žt’˜—œǯ ǯ’—ǯ˜ŸȦhhśŖȦ e’˜—a•˜ —•˜aœǯaœp¡ǯ

ŜǯTh’œ ˜pe›at’— p›’—Œ’p•e ’œ œ’–’•a› t˜ the T œ¢œte–ǰ  h’Œh ’œ a p˜ e›ž• t˜˜• that p›˜Ÿ’eœ a Œ˜–pat’‹’•’t¢ œŒ˜›e ˜›

Œ˜–pa›’— ˜—e ˜ŒŒžpat’˜—  ’th a—˜the›

ǻhĴpDZȦȦ   ǯt˜›š ˜›”œǯŒ˜–Ȧp›˜žŒtœǼǯ The T œ¢œte– pž••œ ’— eŸe›¢ eta’•e aœpeŒt that eę—e the ”—˜ •eeǰ œ”’••œ a— a‹’•’t’eœ

ǻœǼ ˜ a— ˜ŒŒžpat’˜— t˜ ete›–’—e  hethe› t ˜ ˜ŒŒžpat’˜—œ a›e a ˜˜ –atŒhǯ

˜ eŸe›ǰ the path a¢ Œ•žœte› app›˜aŒh

žœeœ a•• ˜ŒŒžpat’˜— eœŒ›’pt’˜— Œate˜›’eœ ˜

*T ǻ˜  h’Œh œ a›e a œž‹œetǼǯ Auto Sector Occupation Destination Occupation

Occupation

Pathway

Cluster ID Occupation

Pathway

Cluster ID Trip Time (Hours) Team Assemblers 3c Extruding, Forming, Pressing, and Compacting

Machine Setters, Operators, and Tenders

3c 130

Pipelayers 3b 170

Coin, Vending, and Amusement Machine Servicers and Repairers

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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ŞȳX—’a—a —’Ÿe›œ’t¢ e••e¢ Œh˜˜• ˜ žœ’—eœœǰ —’a—a žœ’—eœœ eœea›Œh e—te›

D

ata from the 2010 Census show that Indiana added more than 400,000 residents in the last 10 years to reach a total population of 6.48 million. —’a—aȂœ ŜǯŜ pe›Œe—t ›˜ th ›ate a›

˜žtpaŒe —e’h‹˜›’— ••’—˜’œǰ ’Œh’a— a— h’˜ǯ

ž›the›–˜›eǰ Ŝř ˜ —’a—aȂœ şŘ Œ˜ž—t’eœ p˜œte a p˜pž•at’˜— ’—Œ›eaœe ˜Ÿe› the œa–e pe›’˜ǯ

— the aŒe ˜ ’tǰ theœe a›e e—Œ˜ž›a’— —ž–‹e›œǰ

¢et the¢ –aœ” œ˜–e t›˜ž‹•’— t›e—œǯ a–e•¢ǰ t ˜Ȭ th’›œ ˜ —’a—aȂœ Œ˜ž—t’eœ ha a —et ˜žtȬ–’›at’˜—

˜ ›eœ’e—tœ ˜Ÿe› the eŒaeǯ — –a—¢ Œ˜ž—t’eœǰ theœe •˜œœeœ  e›e ˜ěœet ‹¢ the —atž›a• ’—Œ›eaœe

˜ the p˜pž•at’˜— ǻ’ǯeǯǰ –˜›e ‹’›thœ tha— eathœǼ

‹žt —˜t ’— a••ǯ tate ’eǰ —’a—a ’ haŸe a —et

’—Ȭ–’›at’˜— ˜ ›eœ’e—tœ •aœt eŒae ‹žt the ę—a•

ta••¢  aœ  e•• ‹e•˜  the •eŸe• ž›’— the ŗşşŖœǯ h’•e ata ˜— t˜ta• p˜pž•at’˜— Œha—eœ a›e

’–p˜›ta—t ˜› a Ÿa›’et¢ ˜ ›eaœ˜—œǰ the¢ ˜

—˜t a• a¢œ p›˜Ÿ’e a Œ•ea— ’—’Œat˜› ˜ h˜ 

p˜pž•at’˜—œ ›eœp˜— t˜ the Œž››e—t Œ˜—’t’˜—œ ˜—

the ›˜ž—ǯ ’›at’˜— —ž–‹e›œǰ ˜— the ˜the› ha—ǰ

˜ěe› a –˜›e ›ep›eœe—tat’Ÿe –eaœž›e ˜ a •˜Œa• a›eaȂœ

Ÿ’ta•’t¢ǯ Theœe —ž–‹e›œ a›e a”’— t˜ a ›ee›e—ž– ˜—

the eŒ˜—˜–’Œ ˜› šža•’t¢ ˜ •’e Œ˜—’t’˜—œ ’— a ’Ÿe—

Œ˜––ž—’t¢ǯ Th’œ a›t’Œ•e  ’•• e¡a–’—e —’a—aȂœ

p˜pž•at’˜— œh’tœ ‹¢ the ’ěe›e—t Œ˜–p˜—e—tœ ˜

Œha—eǰ  ’th a— e–phaœ’œ ˜— –’›at’˜—ǯ ate›ǰ the›e  ’•• ‹e a ˜Œžœ ˜— —’a—aȂœ –’›at’˜— paĴe›—œ ‹¢

ae a— the e˜›aph’Œ ’œt›’‹žt’˜— ˜ –’›a—tœ

t˜ a— ›˜– the œtateǯ ’—a••¢ǰ  e  ’•• •˜˜” at t›e—œ ’— a ha—ž• ˜ Œ˜ž—t’eœ t˜ e¡a–’—e the p›’–a›¢ ›’Ÿe›œ ˜ –’›at’˜— ’— ’ěe›e—t a›eaœ ˜

the œtateǯ

Population Change across the State

—¢ ’œŒžœœ’˜— ˜ —’a—aȂœ p˜pž•at’˜— ›˜ th

˜Ÿe› the paœt eŒae –žœt œta›t  ’th the

—’a—ap˜•’œȬa›–e• –et›˜ a›eaǯ The ŗŖȬŒ˜ž—t¢

›e’˜—ŗ že•e –žŒh ˜ —’a—aȂœ p˜pž•at’˜—

›˜ th ˜Ÿe› the paœt eŒaeǰ a’— Řřŗǰŗřŝ pe˜p•eȯa ŗśǯŘ pe›Œe—t ’—Œ›eaœeǯ Th’œ

›e’˜— aŒŒ˜ž—te ˜› śŝ pe›Œe—t ˜ the

œtateȂœ t˜ta• ›˜ thǯ Th’œ ›ap’ ›˜ th

–ea—œ that the œtateȂœ p˜pž•at’˜— ’œ

‹eŒ˜–’— ’—Œ›eaœ’—•¢ Œ˜—Œe—t›ate ’—

Œe—t›a• —’a—aǯ The ŗŖȬŒ˜ž—t¢ –et›˜

a›eaȂœ œha›e ˜ the œtate p˜pž•at’˜—

’—Œ›eaœe ›˜– Řśǯŗ pe›Œe—t ’— ŘŖŖŖ t˜

Řŝǯŗ pe›Œe—t ’— 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

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—’a—a žœ’—eœœ eŸ’e ǰ a•• ŘŖŗŗȳXȳş

—’a—aȂœ ˜the› •a›e –et›˜p˜•’ta—

œtat’œt’Œa• a›eaœȯ a›¢ǰ ˜›t a¢—eǰ

Ÿa—œŸ’••e a— ˜žth e—ȯ a•œ˜

›e  ‹žt ˜—•¢ ˜›t a¢—e ˜žtpaŒe

the œtateȂœ –a›” ˜ ŜǯŜ pe›Œe—t ›˜ th

˜Ÿe› the eŒaeǯ

ea— h’•eǰ –a—¢ ˜ the –’Ȭ

œ’£e Œ˜––ž—’t’eœ that •˜— ˜›–e

–žŒh ˜ —’a—aȂœ ’—žœt›’a•

‹aŒ”‹˜—e œa  œ’—’ęŒa—t p˜pž•at’˜—

eŒ•’—eǯ Th’œ ’œ pa›t’Œž•a›•¢ the Œaœe th›˜žh a œ ath ˜ —˜›thȬŒe—t›a•

a— eaœtȬŒe—t›a• —’a—a  he›e

–et›˜p˜•’ta— a— –’Œ›˜p˜•’ta— a›eaœ

œžŒh aœ ˜a—œp˜›t ǻȬŚǯŞ pe›Œe—tǼǰ a‹aœh ǻȬśǯş pe›Œe—tǼǰ ˜”˜–˜

ǻȬŘǯŞ pe›Œe—tǼǰ a›’˜— ǻȬŚǯŜ pe›Œe—tǼǰ

—e›œ˜— ǻȬŗǯř pe›Œe—tǼǰ ž—Œ’e ǻȬŖǯş pe›Œe—tǼǰ ’Œh–˜— ǻȬřǯŗ pe›Œe—tǼ a— ˜——e›œŸ’••e ǻȬśǯŗ pe›Œe—tǼ •˜œt p˜pž•at’˜—ǯ

— a••ǰ Ŝř —’a—a Œ˜ž—t’eœ ae

›eœ’e—tœ ˜Ÿe› the •aœt eŒae  h’•e Řş •˜œt p˜pž•at’˜— ǻœee Figure 1Ǽǯ

•aŒ”˜› ˜ž—t¢ ǻȬşǯŗ pe›Œe—tǼǰ e—t˜— ˜ž—t¢ ǻȬŜǯŖ pe›Œe—tǼ a—

a‹aœh ˜ž—t¢ ǻȬśǯş pe›Œe—tǼ ha

the œha›peœt eŒ•’—eœ ˜ a•• —’a—a

Œ˜ž—t’eœǯ The Řş Œ˜ž—t’eœ  ’th

œh›’—”’— p˜pž•at’˜—œ Œ˜–‹’—e t˜

•˜œe ŘŝǰşŚŝ ›eœ’e—tœ ˜Ÿe› th’œ pe›’˜ǯ ea— h’•eǰ the œtateȂœ ęŸe aœteœtȬ

›˜ ’— Œ˜ž—t’eœ a•• ‹˜›e›e

a›’˜— ˜ž—t¢ǯ Theœe ›’— Œ˜ž—t’eœ

 e›e •e ‹¢ a–’•t˜— a— e—›’Œ”œǰ  h’Œh ›e  ‹¢ śŖ pe›Œe—t ǻşŗǰŞŘş

›eœ’e—tœǼ a— ŚŖ pe›Œe—t ǻŚŗǰřśśǼǰ

›eœpeŒt’Ÿe•¢ǯ

—’a—aȂœ •a›eœt Œ˜ž—t’eœ a›e

›˜ ’—ǰ t˜˜ǯ a›’˜— ˜ž—t¢ ae

ŚŘǰşřş ›eœ’e—tœ t˜ ›eaŒh a t˜ta•

p˜pž•at’˜— ˜ şŖřǰřşřȯa ś pe›Œe—t

’—Œ›eaœeǯ — ˜›th eœt —’a—aǰ a”e

˜ž—t¢ ’œ žp ŘǯŚ pe›Œe—t t˜ ŚşŜǰŖŖś

›eœ’e—tœǰ  h’•e —e’h‹˜›’— ˜›te›

˜ž—t¢ ›e  ‹¢ ŗŘ pe›Œe—t t˜ ›eaŒh ŗŜŚǰřŚřǯ ••e— ˜ž—t¢ ›e  ‹¢ ŝǯŗ pe›Œe—t t˜ Œ•’–‹ t˜ řśśǰřŘş ›eœ’e—tœǯ

h’•e ’—žœt›’a• eŒ•’—e –a¢ haŸe

•e t˜ p˜pž•at’˜— •˜œœ ’— –a—¢ pa›tœ

˜ the œtateǰ t ˜ –et›˜ a›eaœ that a›e heaŸ’•¢ ˜Œžœe ˜— –a—žaŒtž›’—

œa  œt›˜— ›˜ thǯ •”ha›t ˜ž—t¢ǰ

eœp’te ‹e’— h’t ha› ‹¢ ‹˜th

›eŒeœœ’˜—œ ’— th’œ eŒaeǰ p˜œte a—

Şǯŗ pe›Œe—t p˜pž•at’˜— ›˜ thǰ  h’•e a›th˜•˜–e  ˜ž—t¢ ›e  ‹¢ ŝǯś pe›Œe—tǯ

Components of Indiana’s Population Change

˜pž•at’˜—œ ›˜  ˜› Œ˜—t›aŒt th›˜žh

—atž›a• ’—Œ›eaœe ǻthe ’ěe›e—Œe

‹et ee— the —ž–‹e› ˜ ‹’›thœ a—

eathœǼ a— –’›at’˜—ǯ Ÿe› the

•aœt eŒaeǰ —’a—a ha ›˜žh•¢

řŘŖǰŖŖŖ –˜›e ‹’›thœ tha— eathœǰ  h’Œh aŒŒ˜ž—te ˜› ŞŖ pe›Œe—t ˜ the

œtateȂœ t˜ta• p˜pž•at’˜— ›˜ thǯ ••

‹žt ęŸe —’a—a Œ˜ž—t’eœ ǻe›–’••’˜—ǰ e—›¢ǰ ž••’Ÿa—ǰ ›˜ — a— a‹aœhǼ

›e’œte›e a p˜œ’t’Ÿe —atž›a• ’—Œ›eaœe

˜Ÿe› the •aœt eŒaeǯ

et ’—Ȭ–’›at’˜— aœ a œ˜ž›Œe ˜

p˜pž•at’˜— ›˜ th  aœ —˜t —ea›•¢

aœ  ’eœp›eaǯ —•¢ řŖ ˜ —’a—aȂœ

şŘ Œ˜ž—t’eœ ae p˜pž•at’˜—ǰ ˜—

—etǰ th›˜žh –’›at’˜— ˜Ÿe› the •aœt

eŒaeǯŘ eŒa•• that Ŝř Œ˜ž—t’eœ

—˜tŒhe p˜pž•at’˜— a’—œ ˜Ÿe› th’œ

pe›’˜ǰ  h’Œh –ea—œ that the —atž›a•

’—Œ›eaœe ’— řř Œ˜ž—t’eœ  aœ •a›e e—˜žh t˜ ˜ěœet a —et ˜žtȬ–’›at’˜—

˜ ›eœ’e—tœǯ

œ  ’th p˜pž•at’˜— ›˜ th ’—

e—e›a•ǰ œž‹ž›‹a— Œ˜ž—t’eœ ’— the

—’a—ap˜•’œ –et›˜ a›ea ha the

›eateœt •eŸe•œ ˜ —et ’—Ȭ–’›at’˜— ǻœee Figure 2Ǽǯ a–’•t˜— ˜ž—t¢ ha the

œtateȂœ •a›eœt p˜œ’t’Ÿe —et –’›at’˜—

at ›˜žh•¢ ŜśǰŖŖŖ ›eœ’e—tœ ˜Ÿe›

the eŒaeǯ Th’œ ꐞ›e  aœ t ’Œe aœ ›eat aœ œeŒ˜—Ȭp•aŒe e—›’Œ”œ

˜ž—t¢ǰ  h’Œh ha a —et ’—Ȭ–’›at’˜—

˜ řŘǰŖŖŖ ›eœ’e—tœǯ a–’•t˜— a—

e—›’Œ”œ Œ˜ž—t’eœȂ –’›at’˜—

—ž–‹e›œ ešžate t˜ a –’›at’˜— ›ate pe› ŗŖŖ ›eœ’e—tœ ˜ řśǯŝ a— řŗǯŖǰ

›eœpeŒt’Ÿe•¢ǯ ˜ž—’— ˜žt the

œtateȂœ ęŸe h’heœt –’›at’˜— ›ateœ

 e›e the e••˜  —’a—ap˜•’œ

–et›˜ Œ˜––ž—’t’eœ ˜ a—Œ˜Œ”

˜ž—t¢ ǻŗşǯś pe› ŗŖŖ ›eœ’e—tœǼǰ

˜˜—e ˜ž—t¢ ǻŗŝǯŘǼ a— ˜h—œ˜—

˜ž—t¢ ǻŗŚǯŝǼǯ

ž‹ž›‹a— Œ˜ž—t’eœ e•œe he›e ’—

the œtate a•œ˜ œh˜ e h’h ›ateœ ˜

’—Ȭ–’›at’˜—ǯ a››’œ˜— ǻŗŖǯśǼ a—

•a›” ǻşǯşǼ Œ˜ž—t’eœ ’— the ˜ž’œŸ’••e

–et›˜ a›ea ha h’h ›ateœ ˜ —et

’—Ȭ–’›at’˜— aœ ’ a››’Œ” ˜ž—t¢

ǻŗŖǯŖǼ ’— the Ÿa—œŸ’••e a›ea a—

˜›te› ˜ž—t¢ ǻŝǯřǼ ’— ˜›th eœt

—’a—aǯ — the œ˜žtheaœt Œ˜›—e› ˜ the

œtateǰ ›ž›a•  ’ĵe›•a— ˜ž—t¢ ǻŗŚǯśǼ a— h’˜ ˜ž—t¢ ǻŜǯŜǼ a•œ˜ ha

h’h –a›”œǯ

et ˜žtȬ–’›at’˜— ˜Ÿe› the •aœt

eŒaeǰ h˜ eŸe›ǰ  aœ  ’eœp›ea

’— the —˜›the›— ha• ˜ the œtateǯ

— aŒtǰ e¡Œ•ž’— Œ˜ž—t’eœ ’— the

—’a—ap˜•’œ –et›˜ a›eaǰ ˜—•¢ œ’¡

˜ the ŚŜ —’a—a Œ˜ž—t’eœ —˜›th ˜

—te›œtate ŝŖ ǻ˜› ’—te›œeŒte ‹¢ ’tǼ ha —et ’—Ȭ–’›at’˜— ˜Ÿe› the •aœt ŗŖ

¢ea›œǯ •aŒ”˜›ǰ e—t˜—ǰ aœœ a—

a ›a—e Œ˜ž—t’eœ eaŒh ha —et ˜žtȬ

–’›at’˜— ›ateœ a‹˜Ÿe Ş ›eœ’e—tœ

pe› ŗŖŖǯ

a›’˜— ˜ž—t¢ ha the •a›eœt a‹œ˜•žte —et ˜žt̘  ˜ p˜pž•at’˜—

˜Ÿe› the eŒae at ›˜žh•¢ řŖǰśŖŖ

›eœ’e—tœ ˜••˜ e ‹¢ tǯ ˜œeph

˜ž—t¢ ǻȬŗřǰŖŖŖǼ a— a”e ˜ž—t¢

ǻȬŗŖǰşŖŖǼǯ

—  h˜•eǰ —’a—a p˜œte a —et

’—Ȭ–’›at’˜— ˜ ŞŖǰŖŖŖ ›eœ’e—tœ

‹et ee— ŘŖŖŖ a— ŘŖŗŖǯ Th’œ

Many of the mid-sized communities that long

formed much of Indiana’s industrial backbone saw

signięcant population decline.

Referensi

Dokumen terkait

9-12 for the annual conference of the Association for University Business and Economic Research, hosted by the Indiana Business Research Center, School of Business.. Keynote speaker