The Use of Labor Market Information in Strategic Human Resource Management

The Use of Labor Market Information in Strategic Human Resource ManagementDoug Leonard, Senior EconomistWyoming Department of Employment, Research & [email protected](307) 473-3811http://doe.state.wy.us/lmi

Topics CoveredWhat Research & Planning is and what it doesStandardized comparable compensation dataCustom products

Research & Planning:OUR ORGANIZATION:R&P is a separate, exclusively statistical entity.

WHAT WE DO:R&P collects, analyzes, and publishes timely and accurate labor market information (LMI) meeting established statistical standards.

OUR CUSTOMERS:LMI makes the labor market more efficient by providing the public and the publics representatives with the basis for informed decision making.

ConfidentialityWyoming Employment Security Law, Statute 27-3-603 Confidentiality of InformationPL 107-347, Title V Confidential Information Protection and Statistical Efficiency Act of 2002PL 103-322 Title XXX Protection of Privacy of Information in State Motor Vehicle RecordsInteragency Agreement with Board of NursingMemorandum of Understanding with R&P counterpart research offices in ten statesMemorandum of Understanding with the Workers Compensation and Safety Division of the Department of EmploymentMemorandum of Understanding with the Vital Statistics section of the Department of HealthMemorandum of Understanding with the Defense Manpower Data Center (Pentagon)

Standardized Comparable Compensation Products

Research & Plannings Website (http://doe.state.wy.us/LMI)P. Ellsworth, DOE R&P, 5/17/2007

Example: Wage rates for the Casper Metropolitan Statistical Area.P. Ellsworth, DOE R&P, 5/17/2007

Example: Quarterly Census of Employment & Wages (QCEW)P. Ellsworth, DOE R&P, 5/17/2007

Wyoming QCEW Data by CountyP. Ellsworth, DOE R&P, 5/17/2007

QCEW Data for Natrona County by IndustryP. Ellsworth, DOE R&P, 5/17/2007

Occupation and Skill ProjectionsCombination of two data elements:Occupational Employment Statistics staffing pattern (see slide 17)Current and projected QCEW employment levels (shown on slides 9 & 10)

Source: Glover, T. (2006). Industries and occupations with a demand for skilled workers. Outlook 2010 Revisited:Wyomings Labor Market at Mid-Decade.

Chart2

1294.5402067111

940.4203623651

304.9265617522

246.5598270762

187.8962068628

181.8695687595

286.0562106313

175.400309358

78.0153140788

3.3815338691

59.7338985443

Distribution of Employment Growth by Typical Education/Experience Level for All Industries in Wyoming, 2012

Chart1

1294.5402067111

940.4203623651

304.9265617522

246.5598270762

187.8962068628

181.8695687595

286.0562106313

175.400309358

78.0153140788

3.3815338691

59.7338985443

Figure 1: Distribution of Employment Growth by Typical Education/Experience Level for All Industries in Wyoming, 2012

Table c.1.1 and Figure c.1.1

Table 1: Forecasted Change in Long-Term Employment by Typical Education/Experience Level for All Industries in Wyoming, 2002 - 2012

% of Total Job Growth

educ_lvlIndustryTypical Education/Experience LevelEmployment2002 % 2012 %Job Growth2002 - 2012Annual Additions

1All IndustriesShort-term on-the-job training88,59037.6%101,53637.2%12,9451,29534.4%37.5927%37.1590%-0.4336%

2Moderate-term on-the-job training52,38122.2%61,78522.6%9,40494025.0%22.2275%22.6115%0.3840%

3Long-term on-the-job training19,6868.4%22,7358.3%3,0493058.1%8.3537%8.3205%-0.0332%

4Experience in a related occupation16,8387.1%19,3047.1%2,4662476.6%7.1453%7.0647%-0.0806%

5Postsecondary vocational award9,4574.0%11,3364.1%1,8791885.0%4.0128%4.1485%0.1356%

6Associate's degree9,0813.9%10,9004.0%1,8191824.8%3.8535%3.9890%0.1355%

7Bachelor's degree21,0488.9%23,9088.7%2,8612867.6%8.9314%8.7497%-0.1817%

8Bachelor's plus work experience11,3804.8%13,1344.8%1,7541754.7%4.8292%4.8068%-0.0224%

9Master's degree4,8962.1%5,6762.1%780782.1%2.0777%2.0774%-0.0003%

10Doctoral degree1830.1%2170.1%3430.1%0.0777%0.0794%0.0017%

11First professional degree2,1180.9%2,7151.0%597601.6%0.8986%0.9936%0.0950%

Total235,658100.0%273,246100.0%37,5883,759100.0%100.0000%100.0000%-0.0000%

Figure C.1.1 Distribution of the Forecasted Change in Long-Term Employment Growth by Typical Education/Experience Level for All Industries, 2002 - 2012.

&RWilliam (Tony) Glover, Senior Analyst, Wyoming Department of Employment, Research and Planning. 4/4/2005

Table c.1.1 and Figure c.1.1

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Distribution of Employment Growth by Typical Education/Experience Level for All Industries in Wyoming, 2012

Table c.1.2

Table C.1.2: Wyoming's Top 10 Occupations With the Greatest Employment Growth Within Each Typical Education/Experience Level for All Industries, 2002 2012

educ_lvlTypical Education/Experience LevelStandard Occupational Classification (SOC) Code & TitleEmployment2002 2012Job Growth2002 - 2012Annual Adds.% of Total Job Growth

1Short-termon-the-job training41-2031Retail salespersons7,6748,7521,0781088.3%

137-2011Janitors & cleaners, except maids & housekeepers4,4695,162693695.4%

135-3031Waiters & waitresses5,2365,919682685.3%

137-2012Maids & housekeeping cleaners3,5344,174640644.9%

135-3021Combined food prep. & serving wkrs., incl. fast food4,9725,526554554.3%

131-1012Nursing aides, orderlies, & attendants2,8443,329484483.7%

143-9061Office clerks, general2,6013,074473473.7%

143-4171Receptionists & information clerks1,4601,826366372.8%

153-7062Laborers & freight, stock, & material movers, hand2,2512,614363362.8%

141-2011Cashiers5,8046,161358362.8%

100-0000Total88,590101,53612,9451,295100.0%

Moderate-term on-the-job training43-3031Bookkeeping, accounting, & auditing clerks4,2865,162875889.3%

243-6014Secretaries, except legal, medical, & executive4,5215,343822828.7%

247-2061Construction laborers2,8363,643807818.6%

253-3032Truck drivers, heavy & tractor-trailer5,0285,696669677.1%

247-2073Operating engineers & other const. equip. operators2,3672,839472475.0%

249-9042Maintenance & repair workers, general2,8313,284453454.8%

243-6011Executive secretaries & administrative assistants2,2152,635421424.5%

221-1093Social & human service assistants1,2111,491280283.0%

247-5071Roustabouts, oil & gas9461,205259262.8%

241-4012Sales reps, wholesale & mfg., ex. technical products1,5661,799233232.5%

200-0000Total52,38161,7859,404940100.0%

Long-term on-the-job training47-2031Carpenters2,1742,7335595618.3%

247-2111Electricians1,8432,3465035016.5%

347-2152Plumbers, pipefitters, & steamfitters9661,228262268.6%

335-2014Cooks, restaurant1,7151,946230237.6%

351-4121Welders, cutters, solderers, & brazers1,3051,535230237.5%

333-3051Police & sheriff's patrol officers9431,04097103.2%

349-3021Automotive body & related repairers3394157682.5%

349-9021Heating, A/C, & refrigeration mechanics & installers2903677682.5%

349-2022Telecommunications equip. installers & repairers5806557572.5%

333-9099Protective service workers, all other5426086772.2%

300-0000Total19,68622,7353,049305100.0%

Experience in a related occupation47-10111st-line sup./mgrs. const. trades & extraction wkrs.1,8242,2424194217.0%

341-1011First-line sup./mgrs. of retail sales workers2,5722,8692973012.0%

343-10111st-line sup./mgrs. of office & admin. support wkrs.1,6201,8972772811.2%

435-1012First-line sup./mgrs. of food prep. & serving wkrs.1,6841,884200208.1%

449-10111st-line sup./mgrs. of mech., installers, & repairers1,1991,359161166.5%

411-9199Managers, all other9681,119151156.1%

413-1051Cost estimators2793557683.1%

437-1011First-line sup./mgrs. of housekeepers & janitors4475207373.0%

453-10311st-line sup./mgrs. of transportation machine oper.5976687172.9%

435-1011Chefs & head cooks5065767072.8%

400-0000Total16,83819,3042,466247100.0%

4(Continued next page)

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Table C.1.2: Wyoming's Top 10 Occupations With the Greatest Employment Growth Within Each Typical Education/Experience Level for All Industries, 2002 2012 (Continued)

Typical Education/Experience LevelStandard Occupational Classification (SOC) Code & TitleEmployment2002 2012Job Growth2002 - 2012Annual Adds.% of Total Job Growth

Postsecondary vocational award49-3023Automotive service technicians & mechanics1,4701,7913213217.1%

29-2061Licensed practical & licensed vocational nurses9081,1061992010.6%

43-6013Medical secretaries6108041941910.3%

49-3042Mobile heavy equipment mechanics, except engines1,2821,449167178.9%

49-3031Bus & truck mechanics & diesel engine specialists769887118126.3%

539-9031Fitness trainers & aerobics instructors48157897105.2%

525-2011Preschool teachers, except special education2953848894.7%

543-6012Legal secretaries2693528384.4%

529-2041Emergency medical technicians & paramedics3864486163.3%

531-9094Medical transcriptionists2483075963.1%

500-0000Total9,45711,3361,879188100.0%

Associate's degree29-1111Registered nurses3,6794,3266476535.6%

515-1041Computer support specialists595765170179.3%

529-2034Radiologic technologists & technicians492629137147.6%

529-2021Dental hygienists317448131137.2%

529-1126Respiratory therapists381508127137.0%

529-2071Medical records & health information technicians3394016263.4%

623-2011Paralegals & legal assistants2012616163.3%

619-4099Life, physical, & social science techs., all other3454005453.0%

619-4093Forest & conservation technicians4845345052.7%

619-4031Chemical technicians2332835052.7%

600-0000Total9,08110,9001,819182100.0%

Bachelor's degree13-2011Accountants & auditors1,1851,434249258.7%

625-2021Elementary school teachers, except special ed.2,3862,589204207.1%

625-2031Secondary school teachers, except special & voc. ed.2,2792,472193196.8%

613-1199Business operations specialists, all other1,3351,477143145.0%

617-2051Civil engineers495633137144.8%

611-9021Construction managers449566117124.1%

625-3999Teachers, primary, secondary, & adult, all other1,0521,1459393.3%

725-2022Middle school teachers, except special & voc. ed.1,0671,1579093.2%

711-9141Property, real estate, & community asso. managers3534378382.9%

739-9032Recreation workers4755527782.7%

700-0000Total21,04823,9082,861286100.0%

Bachelor's plus work experience11-1021General & operations managers4,8615,7859249252.7%

711-3031Financial managers751867116126.6%

711-9111Medical & health services managers5946879395.3%

711-3011Administrative services managers5676457884.4%

711-2022Sales managers3634195663.2%

725-2041Special ed. teachers, pre-k/kindergarten/elementary4625124952.8%

711-1011Chief executives2863243842.1%

711-3040Human resources managers2532853231.8%

811-3021Computer & information systems managers2402733231.8%

811-9032Education admin., elementary & secondary school3663973131.8%

800-0000Total11,38013,1341,754175100.0%

8(Continued next page)

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8Table C.1.2: Wyoming's Top 10 Occupations With the Greatest Employment Growth Within Each Typical Education/Experience Level for All Industries, 2002 2012 (Continued)

8Typical Education/Experience LevelStandard Occupational Classification (SOC) Code & TitleEmployment2002 2012Job Growth2002 - 2012Annual Adds.% of Total Job Growth

8

8Master's degree29-1123Physical therapists30138585810.9%

821-1012Educational, vocational, & school counselors4545186468.2%

29-1127Speech-language pathologists2693265767.4%

25-4021Librarians4204715156.6%

21-1015Rehabilitation counselors1672104345.5%

21-1014Mental health counselors1311734345.5%

21-1011Substance abuse & behavioral disorder counselors1341754045.2%

25-4010Archivists, curators, & museum technicians2362774045.2%

19-2042Geoscientists, except hydrologists & geographers2182543644.6%

921-1013Marriage & family therapists71992833.6%

900-0000Total4,8965,67678078100.0%

Doctoral degree19-3031Clinical, counseling, & school psychologists16519631391.9%

919-1042Medical scientists, except epidemiologists68205.4%

919-1022Microbiologists89102.3%

919-2012Physicists22000.8%

915-1011Computer & information scientists, research22-0-0-0.3%

900-0000Total183217343100.0%

First professional degree23-1011Lawyers6888701821830.4%

929-1051Pharmacists47555580813.4%

929-1062Family & general practitioners21727962610.3%

929-1067Surgeons1261765058.4%

929-1064Obstetricians & gynecologists1211715058.3%

1029-1020Dentists1191674757.9%

1029-1041Optometrists1001414146.8%

1029-1131Veterinarians1141513746.2%

1029-1011Chiropractors37521522.5%

1029-1065Pediatricians, general36501412.3%

1000-0000Total2,1182,71559760100.0%

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Table c.1.3

Table C.1.3: Forecasted Change in Long-Term Employment by Typical Education/Experience Level and Industry for All Industries in Wyoming, 2002 - 2012

educ_lvlIndustryTypical Education/Experience LevelEmployment2002 2012Job Growth2002 - 2012Annual Additions% of Total Job Growth

1All IndustriesShort-term on-the-job training88,590101,53612,9451,29534.4%

2Moderate-term on-the-job training52,38161,7859,40494025.0%

3Long-term on-the-job training19,68622,7353,0493058.1%

4Experience in a related occupation16,83819,3042,4662476.6%

5Postsecondary vocational award9,45711,3361,8791885.0%25.9%

6Associate's degree9,08110,9001,8191824.8%

7Bachelor's degree21,04823,9082,8612867.6%

8Bachelor's plus work experience11,38013,1341,7541754.7%

9Master's degree4,8965,676780782.1%

10Doctoral degree1832173430.1%

11First professional degree2,1182,715597601.6%

1MiningShort-term on-the-job training2,9213,2633423417.8%


3Long-term on-the-job training2,1212,225104105.4%

4Experience in a related occupation1,4451,576130136.8%

5Postsecondary vocational award6136291620.8%8.8%

6Associate's degree2642842021.1%

7Bachelor's degree8889273942.1%

8Bachelor's plus work experience6207109094.7%

9Master's degree112115300.1%


11First professional degree77000.0%

1ConstructionShort-term on-the-job training2,4043,1657617612.4%











1ManufacturingShort-term on-the-job training2,0562,006-50-5-30.8%

2Moderate-term on-the-job training3,3483,51917117105.0%

3Long-term on-the-job training2,0882,084-3-0-2.0%

4Experience in a related occupation6816971629.9%


6Associate's degree170162-8-1-4.9%

7Bachelor's degree530529-2-0-0.9%





(Continued on next page)

Table C.1.3: Forecasted Change in Long-Term Employment by Typical Education/Experience Level and Industry for All Industries in Wyoming, 2002 - 2012 (Continued)

IndustryTypical Education/Experience LevelEmployment2002 2012Job Growth2002 - 2012Annual Additions% of Total Job Growth

1Wholesale Trade, Transportation, & UtilitiesShort-term on-the-job training4,4015,0846826831.9%




5Postsecondary vocational award1,1211,297177188.3%15.6%







1Retail TradeShort-term on-the-job training20,12022,0951,97519756.8%


3Long-term on-the-job training8519217072.0%


5Postsecondary vocational award8881,077189195.4%13.6%



8Bachelor's plus work experience1,0981,267169174.9%




1InformationShort-term on-the-job training1,3061,4371311326.7%

2Moderate-term on-the-job training9341,00167713.7%








10Doctoral degree22-0-0-0.0%

11First professional degree11-0-0-0.0%

1Financial ActivitiesShort-term on-the-job training3,3393,8465075132.4%






7Bachelor's degree1,9862,2562702717.3%

8Bachelor's plus work experience9841,112128138.2%







1Professonal & Business ServicesShort-term on-the-job training5,3926,8411,44914530.7%





6Associate's degree1,1351,484349357.4%






1Educational & Health ServicesShort-term on-the-job training15,80118,4842,68426831.5%








9Master's degree3,5044,047543546.4%


11First professional degree9021,208306313.6%

1Leisure & HospitalityShort-term on-the-job training23,45227,1353,68336870.9%











1Other ServicesShort-term on-the-job training2,1052,3532482524.9%














1All OtherShort-term on-the-job training5,2915,8275365423.6%












Table c.1.3 (2)

Table C.1.3: Forecasted Change in Long-Term Employment by Typical Education/Experience Level and Industry for All Industries in Wyoming, 2002 - 2012

educ_lvlIndustryTypical Education/Experience LevelEmployment2002 2012Job Growth2002 - 2012Annual Additions% of Total Job Growth





5Postsecondary vocational award9,45711,3361,8791885.0%25.9%



8Bachelor's plus work experience11,38013,1341,7541754.7%

9Master's degree4,8965,676780782.1%






1MiningShort-term on-the-job training2,9213,2633423417.8%











1ConstructionShort-term on-the-job training2,4043,1657617612.4%











1ManufacturingShort-term on-the-job training2,0562,006-50-5-30.8%


3Long-term on-the-job training2,0882,084-3-0-2.0%



6Associate's degree170162-8-1-4.9%

7Bachelor's degree530529-2-0-0.9%





1Wholesale Trade, Transportation, & UtilitiesShort-term on-the-job training4,4015,0846826831.9%














1Retail TradeShort-term on-the-job training20,12022,0951,97519756.8%











1InformationShort-term on-the-job training1,3061,4371311326.7%

2Moderate-term on-the-job training9341,00167713.7%








10Doctoral degree22-0-0-0.0%

11First professional degree11-0-0-0.0%

1Financial ActivitiesShort-term on-the-job training3,3393,8465075132.4%











1Professonal & Business ServicesShort-term on-the-job training5,3926,8411,44914530.7%














1Educational & Health ServicesShort-term on-the-job training15,80118,4842,68426831.5%








9Master's degree3,5044,047543546.4%


11First professional degree9021,208306313.6%

1Leisure & HospitalityShort-term on-the-job training23,45227,1353,68336870.9%











1Other ServicesShort-term on-the-job training2,1052,3532482524.9%











1All OtherShort-term on-the-job training5,2915,8275365423.6%












Tables c.2.1

Table C.2.1: Forecasted Change in Long-Term Employment by Typical Education/Experience Level for Industries in Wyoming With the Greatest Forecasted Long-Term Employment Growth, 2002 - 2012


1Growing IndustriesShort-term on-the-job training39,62846,7207,09170932.7%




5Postsecondary vocational award2,6503,504853853.9%




9Master's degree3,5504,154604602.8%



Total100,895122,61221,7172,172100.0%


Tables c.3.1

Table C.3.1: Forecasted Change in Short-Term Employment by Typical Education/Experience Level for All Industries in Wyoming, 2003 - 2005

educ_lvlIndustry TitleTypical Education/Experience LevelEmployment2002 2005Job Growth2002 - 2005Annual Additions% of Total Job Growth


2Moderate-term on-the-job training52,99755,2062,2091,10525.9%







9Master's degree5,1195,312193962.3%



Total239,775248,2968,5214,261100.0%


Tables c.4.1

Table C.4.1: Forecasted Change in Short-Term Employment by Typical Education/Experience Level for Industries in Wyoming With the Greatest Forecasted Short-Term Employment Growth, 2003 - 2005

educ_lvlIndustry TitleTypical Education/Experience LevelEmployment2002 2005Job Growth2002 - 2005Annual Additions% of Total Job Growth

1Growing IndustriesShort-term on-the-job training33,63335,1031,46973528.2%








9Master's degree3,3173,440123612.4%



Total97,308102,5105,2022,601100.0%


figure d.2.1

Sum of nspec

Additions in Current YearDeterminate AdditionLoss from Prior YearDeterminate LossyearBBFBFLBLCEEFXXL

1992465721472250

1993854204442447562633383

10510520-55-110-16535519941133922350745834842988355

30444474-48-125-173301199537696262921368591273289301

23372395-69-202-271124199628482281319316641413413124

58368426-74-191-2651611997310474295351311571383574161

53417470-70-189-25921119983155913308137343501843785211

67380447-68-256-3241231999612668320453302502073908123

83371454-68-281-3491052000496511330668297412124013105

89379468-54-288-3421262001526415338669313292564139126

83335418-36-335-3714720024318343165292337418647

2003380923788426074

Figure D.2.1: Number of Additions(1), Losses(2) and Net Flow(3) of Nurses in Wyoming Covered Employment from 1993 to 2003.


figure d.2.1

000

000

000

000

000

000

000

000

000

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000

Additions in Current Year

Losses from Prior Year

Net Flow

Year

Losses/ Additions

Figure D.2.1: Number of Additions, Losses, and Net Flow of Registered Nurses in Wyoming Covered Employment, 1993 - 2003

table_g.1.1

Table G.1.1: Number of Individuals Employed in Wyoming by Residency Status, 1992 - 2003

NonresidentsResidentsTotal

EmploymentChange from Previous YearEmploymentChange from Previous YearEmploymentChange from Previous Year

YearN%N%N%N%N%N%

199241,47715.5%----226,00284.5%----267,479100.0%----

199339,54214.6%-1,935-4.7%232,14385.4%6,1412.7%271,685100.0%4,2061.6%

199440,70214.5%1,1602.9%239,92385.5%7,7803.4%280,625100.0%8,9403.3%

199541,36614.7%6641.6%240,12485.3%2010.1%281,490100.0%8650.3%

199643,10215.2%1,7364.2%240,75484.8%6300.3%283,856100.0%2,3660.8%

199743,90815.3%8061.9%243,39284.7%2,6381.1%287,300100.0%3,4441.2%

199849,39316.7%5,48512.5%246,41283.3%3,0201.2%295,805100.0%8,5053.0%

199958,68019.2%9,28718.8%247,31080.8%8980.4%305,990100.0%10,1853.4%

200057,19818.6%-1,482-2.5%251,09981.4%3,7891.5%308,297100.0%2,3070.8%

200164,04619.8%6,84812.0%259,85580.2%8,7563.5%323,901100.0%15,6045.1%

200257,74518.2%-6,301-9.8%260,27381.8%4180.2%318,018100.0%-5,883-1.8%

200360,64718.7%2,9025.0%263,02581.3%2,7521.1%323,672100.0%5,6541.8%

Net Change

NonresidentsResidentsTotal

1993-1,9356,1414,206

19941,1607,7808,940

1995664201865

19961,7366302,366

19978062,6383,444

19985,4853,0208,505

19999,28789810,185

2000-1,4823,7892,307

20016,8488,75615,604

2002-6,301418-5,883

20032,9022,7525,654


Table_g.1.2

Table G.1.2: Number of Individuals Employed in Wyoming in 2001 by State of Origin in 2000 and Destination in 2002

Worked in Wyoming in 2001aWorked in Wyoming in 2001a

ResidentcNonresidentcTotalResidentcNonresidentcTotal

State of Origin - 2000bN%N%N%N%N%N%Destination State - 2002b

Employment Status and Whereabouts Unknown in 2000d31,9859.9%34,27310.6%66,25820.5%26,5838.2%29,0209.0%55,60317.2%Employment Status and Whereabouts Unknown in 2002d

Partner Research State in 2000e11,9303.7%12,4773.9%24,4077.5%12,7863.9%15,9184.9%28,7048.9%Partner Research State in 2002e

Wyoming in 2000215,94066.7%17,2965.3%233,23672.0%220,48668.1%19,1085.9%239,59474.0%Wyoming in 2002

Total259,85580.2%64,04619.8%323,901100.0%259,85580.2%64,04619.8%323,901100.0%Total

aIncludes all SSNs that appeared in Wyoming's Wage Records in the year 2001.

bState of Origin and Destination State represent the states paying the individual (unique SSN) the most wages in 2000 (Origin) and 2002 (Destination).

cResident and Nonresident status is determined using a methodology developed by Wyoming and our partner research states (AK, NE, NM, OH, SD) in the

LAUS-AAMC project. As the methodology is refined, the numbers of SSNs determined Residents and Nonresidents may change slightly.

dIndividuals (unique SSNs) who worked in Wyoming in 2001 for whom we had no wage data in 2000 (Origin) or 2002 (Destination). For example, the

individual (SSN) could have worked in California (a state from which we do not currently collect wage data) or the individual (SSN) could have resided in Wyoming but had no wages here.

eA Partner Research State is a state from which R&P collects wage records data. Currently these include Alaska (not included in this analysis), Colorado, Idaho, Montana, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Utah.


Figure_g.1.1

Figure G.1.1: Number of Individuals Employed in Wyoming in 2001 by State of Origin in 2000 and Destination in 2002

State of Origin - 2000bTotal Working in Wyoming in 2001aDestination State - 2002b

N = 323,901

Employment StatusResidentResidentc in 2001 N = 259,855ResidentEmployment Status

and WhereaboutsN = 31,985N = 26,583and Whereabouts

Unknown in 2000dNonresidentNonresidentUnknown in 2002d

N = 66,258N = 34,273N = 29,020N = 55,603

Partner ResearchResidentResidentPartner Research

State in 2000eN = 11,930N = 12,786State in 2002e

NonresidentNonresident

N = 24,407N = 12,477N = 15,918N = 28,704

Wyoming in 2000ResidentNonresidentc in 2001 N = 64,046ResidentWyoming in 2002

N = 215,940N = 220,486

NonresidentNonresident

N = 233,236N = 17,296N = 19,108N = 239,594

Flow Direction

aIncludes all SSNs that appeared in Wyoming's Wage Records in the year 2001.

bState of Origin and Destination State represent the states paying the individual (unique SSN) the most wages in 2000 (Origin) and 2002 (Destination).

cResident and Nonresident status is determined using a methodology developed by Wyoming and our partner research states (OH,

AK, NE, NM, SD) in the LAUS-AAMC project. As the methodology is refined, the numbers of SSNs determined Residents and Nonresidents may change slightly.

dIndividuals (unique SSNs) who worked in Wyoming in 2001 for whom we had no wage data in 2000 (Origin) or 2002 (Destination).

For example, the individual (SSN) could have worked in California (a state from which we do not currently collect wage data) or the individual (SSN) could have resided in Wyoming but had no wages here.

eA Partner Research State is a state from which R&P collects wage records data. Currently these include Colorado, Nebraska, South Dakota, Montana, Idaho, Utah, New Mexico, Texas, Oklahoma, and Alaska (Alaska not included in this analysis).


Table G.2.1

Table G.2.1: Persons Employed in Campbell County by Origin of Residence, 1992Q1 - 2004Q3

Employment in Campbell County (Inflow)Commuters From Crook to Campbell Countyb

Resident CommutersNonresident Commutersa

YearQuarterTotalN%N%

1992115,64612,68081.0%2,96619.0%251

216,57513,24079.9%3,33520.1%274

316,81113,33579.3%3,47620.7%285

416,57913,05478.7%3,52521.3%265

1993115,80412,68080.2%3,12419.8%260

216,69913,34179.9%3,35820.1%290

317,80313,68476.9%4,11923.1%302

417,08713,26177.6%3,82622.4%279

1994116,42713,08579.7%3,34220.3%277

217,33013,69079.0%3,64021.0%313

317,96713,92277.5%4,04522.5%329

417,10913,38278.2%3,72721.8%298

1995116,63313,30180.0%3,33220.0%277

217,50213,86179.2%3,64120.8%302

317,96813,97277.8%3,99622.2%304

417,40513,54377.8%3,86222.2%309

1996116,80813,23178.7%3,57721.3%315

217,87414,07378.7%3,80121.3%376

318,77914,37876.6%4,40123.4%384

418,09613,89976.8%4,19723.2%368

1997117,10313,56979.3%3,53420.7%329

218,07814,25678.9%3,82221.1%364

319,17414,64576.4%4,52923.6%367

418,24314,20077.8%4,04322.2%327

1998117,71414,02479.2%3,69020.8%324

218,75514,72378.5%4,03221.5%365

319,31414,95677.4%4,35822.6%370

418,37614,43078.5%3,94621.5%374

1999117,78414,22580.0%3,55920.0%362

219,34215,07277.9%4,27022.1%409

320,43015,50675.9%4,92424.1%444

419,77915,30777.4%4,47222.6%439

2000119,86815,35977.3%4,50922.7%457

220,71016,08177.6%4,62922.4%504

321,49616,42176.4%5,07523.6%519

420,72315,92976.9%4,79423.1%504

2001120,66516,06277.7%4,60322.3%536

222,66516,79074.1%5,87525.9%618

324,18617,16271.0%7,02429.0%658

422,86316,79073.4%6,07326.6%654

2002122,50417,01675.6%5,48824.4%659

223,42617,57475.0%5,85225.0%659

323,63517,64474.7%5,99125.3%641

422,11116,79075.9%5,32124.1%612

2003121,53816,66777.4%4,87122.6%603

222,86917,47276.4%5,39723.6%638

323,81517,68974.3%6,12625.7%671

423,15417,31874.8%5,83625.2%648

2004122,75317,15875.4%5,59524.6%652

223,76217,66874.4%6,09425.6%690

324,45017,57971.9%6,87128.1%682

aTotal number of individuals (SSNs) with wages in Campbell County who either reside in another county in Wyoming (including Crook County) or whose residence is not available.

bTotal number of individuals (SSNs) with wages in Campbell County who reside in Crook County.


Figure G.2.1

Table G.2.1: Persons Employed in Campbell County by Origin of Residence 1992q1 to 2004q3.Figure G.2.1: Persons Employed in Campbell County by Origin of Residence 1992q1 to 2004q3.

TotalsInflow from Unknown ResidenceInflow from Residence Other County

YearQuarterTotal EmploymentResident EmployedTotal InflowResidence UnknownCrook CountyAll Other Wyoming Counties

1992115,64612,6802,9661,6872511,028

216,57513,2403,3351,9472741,114

316,81113,3353,4762,0582851,133

416,57913,0543,5252,1032651,157

1993115,80412,6803,1241,7532601,111

216,69913,3413,3581,9172901,151

317,80313,6844,1192,5873021,230

417,08713,2613,8262,3162791,231

1994116,42713,0853,3421,8112771,254

217,33013,6903,6401,9883131,339

317,96713,9224,0452,3233291,393

417,10913,3823,7272,1152981,314

1995116,63313,3013,3321,8642771,191

217,50213,8613,6412,0583021,281

317,96813,9723,9962,3573041,335

417,40513,5433,8622,2043091,349

1996116,80813,2313,5771,9403151,322

217,87414,0733,8012,0383761,387

318,77914,3784,4012,5693841,448

418,09613,8994,1972,4263681,403

1997117,10313,5693,5341,8643291,341

218,07814,2563,8222,0583641,400

319,17414,6454,5292,6893671,473

418,24314,2004,0432,3343271,382

1998117,71414,0243,6902,0443241,322

218,75514,7234,0322,3213651,346

319,31414,9564,3582,5443701,444

418,37614,4303,9462,1793741,393

1999117,78414,2253,5591,8963621,301

219,34215,0724,2702,4694091,392

320,43015,5064,9242,9364441,544

419,77915,3074,4722,4674391,566

2000119,86815,3594,5092,4244571,628

220,71016,0814,6292,4605041,665

321,49616,4215,0752,7845191,772

420,72315,9294,7942,4995041,791

2001120,66516,0624,6032,2425361,825

222,66516,7905,8753,2056182,052

324,18617,1627,0244,0386582,328

422,86316,7906,0733,1816542,238

2002122,50417,0165,4882,6576592,172

223,42617,5745,8522,9936592,200

323,63517,6445,9913,1366412,214

422,11116,7905,3212,5696122,140

2003121,53816,6674,8712,1506032,118

222,86917,4725,3972,5606382,199

323,81517,6896,1263,1176712,338

423,15417,3185,8362,8866482,302

2004122,75317,1585,5952,5986522,345

223,76217,6686,0942,9586902,446

324,45017,5796,8713,5916822,598

Total Employment - Total number of SSNs with wages ($0.50) in Wage Records in the quarter that were determined to be employed in Campbell County. Total Employment is the sum of Resident Employed and Total Inflow.

Resident Employed - Total number of SSNs with wages in Campbell County that also reside in Campbell County.

Total Inflow - Total number of SSNs with wages in Campbell County that have either a residence that is Not Available or reside in another county in Wyoming. Total Inflow is the sum of Unknown Residence and Residence Other County.

Inflow from Unknown Residence - Total Number of SSNs with wages in Campbell County but Unknown residence. These SSNs may reside in Crook County and commute to Campbell County.

Inflow from Residence Other County

11-Crook County - Total number of SSNs with wages in Campbell County that reside in Crook County.

All Wyoming Other Counties - Total number of SSNs with wages in Campbell County that reside in a Wyoming County other than Crook.


Figure G.2.1

00000

00000

00000

00000

00000

00000

00000

00000

00000

00000

00000

00000

00000

00000

00000

00000

00000

00000

00000

00000

00000

00000

00000

00000

00000

00000

00000

00000

00000

00000

00000

00000

00000

00000

00000

00000

00000

00000

00000

00000

00000

00000

00000

00000

00000

00000

00000

00000

00000

00000

00000

Resident Employed

Residence Unknown

All Other Wyoming Counties

Crook County

Total Employment

Figure G.2.1: Persons Employed in Campbell County by Origin of Residence, 1992Q1 to 2004Q3

Figure G.2.2

Figure G.2.2: Wyoming Resident/Nonresident Inflow, Outflow, and Net Flow by County from 1994 to 2003.

Notes

Nonresident Inflow - Persons employed in the county that have not acquired a Wyoming Driver's License. For example, a short-term employee that works in Converse County but never gets a DL.

Resident Inflow - Persons employed in the county that have a Wyoming Driver's License from another county. For example, a person that works in Converse County but lives in Natrona County.

Resident Outflow - Persons employed in another county that have a Wyoming Driver's License in this county. For example, a person that lives in Converse County but works in Natrona County.

Net Flow - (Nonresident Inflow + Resident Inflow - Resident Outflow).

table d.2.1 not used

Table D.2.1: Number of Additions and Losses in 2001of Registered Nurses to and from Wyoming Covered Employment by Origin in 2000 and Destination 2001.

Additions 2001Losses 2001

(Nurses Not Working in Wyoming in 2000 That Did Work in Wyoming in 2001)(Nurses Working in Wyoming in 2000 That Did Not Work in Wyoming in 2001)

State in 2000State in 2001Experience (4)NAAW $ in 2000 (5)AAW $ in 2001Avg Age in 2001State in 2000State in 2001Experience (1)NAAW $ in 2000AAW $ in 2001 (2)Avg Age in 2000

MOU State (6)Wyoming000000WyomingMOU State (6)00ND26,70233,82628

01ND21,36729,4374201624,53739,63237

02ND29,99218,9413302927,56337,77634

03+3141,87121,8904403+11527,65340,97542

Unknown (7)Wyoming00114031,82532WyomingUnknown (7)00ND33,538036

0128030,79032011325,056029

0219025,2353102923,763031

03+272028,0324803+18623,373045

Total46840,80128,50242Total34225,16240,52242

(1)Additions - Nurses that were not working in Wyoming covered employment in the prior year that are working in Wyoming covered employment in the current year.

(2)Losses - Nurses working in Wyoming covered employment in the prior year that are not working in Wyoming covered employment in the current year.

(3)Net Flow - Change in the number of nurses from the prior year (i.e., total number of nurses in current year minus the total number of nurses in prior year). Also calculated by subtracting the total losses from the total additions.

(4)Experience - The number of years since graduation from a nursing program.

(5)Average Annual Wage - Average quarterly wage adjusted to a four quarter base and when calculated as a total it only includes Wyoming and MOU state data.

(6)MOU States - States that currently have Wage Records data sharing agreements with Wyoming and include CO, NE, SD, MT, ID, UT, NM, TX, and OK.

(7)Unknown includes employment in a state that Wyoming does not have a data sharing agreement with and could also be death, non-covered employment, or personal exit from labor force.

raw_c.1.2 not used

Table C.1.2: Short (2003 to 2005) and Long (2002 to 2012) employment projections by Industry and Typical Education/Experience Level.

Short TermLong Term

Base YearProj YearBase YearProj Year

educ_lvlIndustry TitleTypical Education/Experience Level2003200520022012

100- Total All IndustriesShort-term on-the-job training90,13492,85088,590101,536

2Moderate-term on-the-job training52,99755,20652,38161,785

3Long-term on-the-job training19,78620,54619,68622,735

4Experience in a related occupation17,04917,60416,83819,304

5Postsecondary vocational award9,6009,9899,45711,336

6Associate's degree9,2819,6479,08110,900

7Bachelor's degree21,78122,55221,04823,908

8Bachelor's plus work experience11,66512,09911,38013,134

9Master's degree5,1195,3124,8965,676

10Doctoral degree191198183217

11First professional degree2,1712,2932,1182,715

Total239,775248,296235,658273,246

101- MiningShort-term on-the-job training2,9343,0402,9213,263




5Postsecondary vocational award605609613629

6Associate's degree262274264284

7Bachelor's degree876910888927

8Bachelor's plus work experience625659620710

9Master's degree109116112115

11First professional degree7777

Total17,99818,73117,97519,900

102- ConstructionShort-term on-the-job training2,4022,5952,4043,165








Total19,75121,27519,80825,936

103- ManufacturingShort-term on-the-job training1,9041,9042,0562,006



4Experience in a related occupation650656681697







Total9,0969,1639,5189,681

104- Wholesale Trade, Transportation, & UtilitiesShort-term on-the-job training4,4564,5884,4015,084










Total16,44816,84616,31118,450

105- Retail TradeShort-term on-the-job training20,04120,27920,12022,095


3Long-term on-the-job training843847851921


5Postsecondary vocational award8919228881,077





Total29,97330,40430,07333,552

106- InformationShort-term on-the-job training1,3381,3731,3061,437

2Moderate-term on-the-job training9309409341,001










Total4,8114,8924,7565,246

107- Financial ActivitiesShort-term on-the-job training3,4923,7323,3393,846







8Bachelor's plus work experience1,0191,0829841,112



Total10,29210,9309,92411,490

108- Professonal & Business ServicesShort-term on-the-job training5,6225,9735,3926,841




5Postsecondary vocational award8408968141,061



8Bachelor's plus work experience8058597821,027




Total16,29217,37015,77020,482

109- Educational & Health ServicesShort-term on-the-job training16,35916,92415,80118,484








9Master's degree3,6993,8283,5044,047


11First professional degree9399979021,208

Total52,40154,25450,31758,849

110- Leisure & HospitalityShort-term on-the-job training24,02324,67223,45227,135










Total36,67136,67136,67136,671

111- Other ServicesShort-term on-the-job training2,1202,2102,1052,353










Total7,4917,8027,4648,458

112- All OtherShort-term on-the-job training5,4415,5615,2915,827











Total22,89923,41522,26324,531


Source: Glover, T. (2006). Industries and occupations with a demand for skilled workers. Outlook 2010 Revisited: Wyomings Labor Market at Mid-Decade.

National Compensation Resources

*

Chart1

4992857693

5329463414

4552072658

3979888842

37557109655

38554128605

37902138586

18-24

65+

Year

Population

Figure: Projected Population Growth for Wyoming, 2000-2030

WY

18-2465+

200049,92857,693

200553,29463,414

201045,52072,658

201539,79888,842

202037,557109,655

202538,554128,605

203037,902138,586

WY

00

00

00

00

00

00

00

18-24

65+

Year

Population

Figure: Projected Population Growth for Wyoming, 2000-2030

US

18-2465+

200027,143,45434,991,753

200529,156,11236,695,904

201030,480,63640,243,713

201529,999,63146,790,727

202029,338,50154,631,891

202530,979,89663,523,732

203032,532,77971,453,471

US

00

00

00

00

00

00

00

18-24

65+

Year

Population

Projected Population Growth for the United States, 2000-2030

Numbers

Table with row headings in column A and column headings in rows 3

Interim Projections of the Population by Selected Age Groups for the United States and States: April 1, 2000 to July 1, 2030

Geographic Area Selected Age GroupsCensus April 1, 2000Projections July 1, 2005Projections July 1, 2010Projections July 1, 2015Projections July 1, 2020Projections July 1, 2025Projections July 1, 2030

UNITED STATES

.Total281,421,906295,507,134308,935,581322,365,787335,804,546349,439,199363,584,435

.Under 5 years19,175,79820,495,48021,426,16322,358,35822,932,05623,518,39524,271,894

.5 to 13 years37,025,34635,968,11536,439,35038,417,55240,148,16341,500,66142,626,829

.14 to 17 years16,092,66817,175,46216,565,99816,242,50117,219,58718,079,29218,808,574

.18 to 24 years27,143,45429,156,11230,480,63629,999,63129,338,50130,979,89632,532,779

.25 to 44 years85,040,25183,203,69182,767,34984,845,59187,881,46089,696,25391,610,717

.45 to 64 years61,952,63672,812,37081,012,37283,711,42783,652,88882,140,97082,280,171

.65 years and over34,991,75336,695,90440,243,71346,790,72754,631,89163,523,73271,453,471

.Under 15 years60,253,37560,799,72261,899,29964,964,87467,409,52469,569,16371,600,569

.16 years and over217,149,127230,335,094242,936,408253,360,564264,085,104275,338,964287,281,469

.18 years and over209,128,094221,868,077234,504,070245,347,376255,504,740266,340,851277,877,138

.21 years and over196,899,193209,371,694221,214,985232,949,603242,762,522252,974,627263,800,776

.62 years and over41,256,02944,227,56849,864,88557,587,52866,830,35476,145,14382,968,060

.85 years and over4,239,5875,120,3946,123,4586,821,6667,268,9088,011,1239,603,034

.Median Age35.336.237.037.438.038.539.0

WYOMING

.Total493,782507,268519,886528,005530,948529,031522,979

.Under 5 years30,94032,16932,67130,79628,16826,39125,881

.5 to 13 years64,37258,62058,66560,38158,78054,70550,710

.14 to 17 years33,56128,21724,93724,32225,56425,13823,406

.18 to 24 years49,92853,29445,52039,79837,55738,55437,902

.25 to 44 years138,619129,219131,596133,798132,056125,091112,943

.45 to 64 years118,669142,335153,839150,068139,168130,547133,551

.65 years and over57,69363,41472,65888,842109,655128,605138,586

.Under 15 years103,44397,92397,55597,41393,63387,56382,552

.16 years and over381,882402,203416,171424,405430,779435,085434,502

.18 years and over364,909388,262403,613412,506418,436422,797422,982

.21 years and over340,803366,328384,520395,986401,929405,559406,517

.62 years and over69,04577,41291,578112,122134,562150,509155,744

.85 years and over6,7358,22410,12311,83213,35115,47119,352

.Median Age36.238.039.540.942.444.346.4

Footnotes:

Source: U.S.Census Bureau, Population Division, Interim State Population Projections, 2005.

Internet Release Date: April 21, 2005

Original

Table with row headings in column A and column headings in rows 3

Interim Projections of the Population by Selected Age Groups for the United States and States: April 1, 2000 to July 1, 2030

Geographic Area Selected Age GroupsCensus April 1, 2000Projections July 1, 2005Projections July 1, 2010Projections July 1, 2015Projections July 1, 2020Projections July 1, 2025Projections July 1, 2030

UNITED STATES

.Total281,421,906295,507,134308,935,581322,365,787335,804,546349,439,199363,584,435

.Under 5 years19,175,79820,495,48021,426,16322,358,35822,932,05623,518,39524,271,894

.5 to 13 years37,025,34635,968,11536,439,35038,417,55240,148,16341,500,66142,626,829

.14 to 17 years16,092,66817,175,46216,565,99816,242,50117,219,58718,079,29218,808,574

.18 to 24 years27,143,45429,156,11230,480,63629,999,63129,338,50130,979,89632,532,779

.25 to 44 years85,040,25183,203,69182,767,34984,845,59187,881,46089,696,25391,610,717

.45 to 64 years61,952,63672,812,37081,012,37283,711,42783,652,88882,140,97082,280,171

.65 years and over34,991,75336,695,90440,243,71346,790,72754,631,89163,523,73271,453,471

.Under 15 years60,253,37560,799,72261,899,29964,964,87467,409,52469,569,16371,600,569

.16 years and over217,149,127230,335,094242,936,408253,360,564264,085,104275,338,964287,281,469

.18 years and over209,128,094221,868,077234,504,070245,347,376255,504,740266,340,851277,877,138

.21 years and over196,899,193209,371,694221,214,985232,949,603242,762,522252,974,627263,800,776

.62 years and over41,256,02944,227,56849,864,88557,587,52866,830,35476,145,14382,968,060

.85 years and over4,239,5875,120,3946,123,4586,821,6667,268,9088,011,1239,603,034

.Median Age35.336.237.037.438.038.539.0

ALABAMA

.Total4,447,1004,527,1664,596,3304,663,1114,728,9154,800,0924,874,243

.Under 5 years295,992303,341298,302295,974294,601300,656311,275

.5 to 13 years571,544549,733546,653546,732545,089545,215553,509

.14 to 17 years255,886259,125247,229246,291246,649247,390247,480

.18 to 24 years439,612425,542422,334411,769407,768415,016414,478

.25 to 44 years1,288,5271,231,7941,182,2821,163,6631,147,9291,132,1501,137,129

.45 to 64 years1,015,7411,155,2201,250,6411,259,1021,244,2721,205,9381,171,212

.65 years and over579,798602,411648,889739,580842,607953,7271,039,160

.Under 15 years931,589918,821905,666906,909901,333907,794926,598

.16 years and over3,451,5863,541,7793,629,3403,694,5193,765,8493,830,3193,885,775

.18 years and over3,323,6783,414,9673,504,1463,574,1143,642,5763,706,8313,761,979

.21 years and over3,124,3173,229,7073,313,1093,396,0673,458,0423,524,4003,578,349

.62 years and over690,914728,385805,627910,3861,032,5301,141,9601,205,174

.85 years and over67,30176,92088,21197,132103,711113,382132,070

.Median Age35.837.138.539.440.340.941.0

ALASKA

.Total626,932661,110694,109732,544774,421820,881867,674

.Under 5 years47,59151,22258,38064,27566,66968,80573,119

.5 to 13 years99,05288,15087,95598,941112,494121,113126,090

.14 to 17 years44,07443,87337,64835,95739,46346,26050,084

.18 to 24 years57,29278,70881,81073,21870,17177,87188,438

.25 to 44 years203,522185,294187,849206,820225,855242,511247,480

.45 to 64 years139,702169,864183,919178,310163,381149,186155,261

.65 years and over35,69943,99956,54875,02396,388115,135127,202

.Under 15 years158,023150,154155,385172,585189,511201,841211,930

.16 years and over457,728499,933529,462551,067574,912607,371643,197

.18 years and over436,215477,865510,126533,371555,795584,703618,381

.21 years and over410,474442,672477,104505,126526,635551,693580,997

.62 years and over45,30057,68475,07697,767120,671137,553144,856

.85 years and over2,6343,8645,6907,6729,72412,77318,057

.Median Age32.433.032.532.332.933.332.9

ARIZONA

.Total5,130,6325,868,0046,637,3817,495,2388,456,4489,531,53710,712,397

.Under 5 years382,386456,093515,408573,939630,601692,323762,344

.5 to 13 years694,249735,588817,849940,6931,054,5911,167,6061,285,330

.14 to 17 years290,312341,786355,207377,665443,188501,213559,478

.18 to 24 years514,101581,085656,715693,311737,825859,847982,401

.25 to 44 years1,511,4691,604,3411,692,3891,836,0891,999,8012,183,8812,436,378

.45 to 64 years1,070,2761,384,0501,677,8031,892,1832,069,8202,186,3112,315,112

.65 years and over667,839765,061922,0101,181,3581,520,6221,940,3562,371,354

.Under 15 years1,150,4661,276,9941,419,5051,612,1711,796,3441,984,9692,186,379

.16 years and over3,907,5264,504,3675,130,1175,789,5546,549,3897,421,6028,386,800

.18 years and over3,763,6854,334,5374,948,9175,602,9416,328,0687,170,3958,105,245

.21 years and over3,536,2794,081,0444,661,5915,312,3126,003,3366,793,1917,678,081

.62 years and over787,520926,1901,146,6801,459,9031,862,9142,324,9772,752,559

.85 years and over68,52592,724120,875144,144165,199198,443265,274

.Median Age34.235.336.437.338.238.839.3

ARKANSAS

.Total2,673,4002,777,0072,875,0392,968,9133,060,2193,151,0053,240,208

.Under 5 years181,585192,439194,806196,855201,970211,292220,672

.5 to 13 years341,318341,425354,755365,694368,988377,161392,323

.14 to 17 years157,466156,821153,095158,515166,808166,961170,228

.18 to 24 years261,738265,104260,410259,068265,738277,770280,011

.25 to 44 years750,972742,108735,157738,939739,906741,721751,074

.45 to 64 years606,302696,834764,664781,962785,781777,072769,494

.65 years and over374,019382,276412,152467,880531,028599,028656,406

.Under 15 years561,744573,779588,451603,130612,736630,433656,001

.16 years and over2,072,6222,163,2932,248,4342,325,9662,405,7002,478,7592,541,469

.18 years and over1,993,0312,086,3222,172,3832,247,8492,322,4532,395,5912,456,985

.21 years and over1,873,3591,973,1102,056,2542,134,1972,203,7602,272,8032,333,557

.62 years and over442,588463,481511,883576,194651,583723,020766,906

.85 years and over46,49252,66658,24461,64364,72969,97982,327

.Median Age36.037.037.938.639.439.839.8

CALIFORNIA

.Total33,871,64836,038,85938,067,13440,123,23242,206,74344,305,17746,444,861

.Under 5 years2,486,9812,648,8962,853,0323,045,1923,133,9653,145,7203,146,087

.5 to 13 years4,802,4524,592,1914,491,1434,825,0285,169,9685,400,4365,475,221

.14 to 17 years1,960,3962,221,3272,152,8031,949,9322,110,1752,285,5122,424,832

.18 to 24 years3,366,0303,758,9874,137,8434,102,2173,791,8184,034,3644,382,219

.25 to 44 years10,714,40310,598,19210,648,97811,138,26911,903,65412,404,06712,804,614

.45 to 64 years6,945,7288,319,0739,390,6279,834,6309,898,0379,750,1009,923,647

.65 years and over3,595,6583,900,1934,392,7085,227,9646,199,1267,284,9788,288,241

.Under 15 years7,783,6837,807,4847,857,8748,372,2098,836,8319,121,7419,224,240

.16 years and over25,599,27527,666,49829,677,78231,271,79232,841,51534,611,09636,615,897

.18 years and over24,621,81926,576,44528,570,15630,303,08031,792,63533,473,50935,398,721

.21 years and over23,146,24824,969,79626,781,68328,678,60430,215,94831,763,83533,542,681

.62 years and over4,253,8544,707,0445,457,0826,429,4977,562,9158,719,5039,625,858

.85 years and over425,657534,740671,624764,118836,504949,1971,158,537

.Median Age33.334.434.935.235.736.537.4

COLORADO

.Total4,301,2614,617,9624,831,5545,049,4935,278,8675,522,8035,792,357

.Under 5 years297,505339,718353,009369,942387,617406,628426,095

.5 to 13 years557,938554,608587,282629,276659,509692,241728,167

.14 to 17 years245,352259,119248,292257,136280,341295,131310,574

.18 to 24 years430,111476,300486,991476,611494,070543,809575,512

.25 to 44 years1,400,8501,384,2761,375,5111,409,3391,441,6021,486,5361,565,417

.45 to 64 years953,4321,148,3001,263,0501,279,7811,264,8251,228,8121,230,314

.65 years and over416,073455,641517,419627,408750,903869,646956,278

.Under 15 years917,430958,2291,000,7091,066,4861,116,6601,172,1231,231,178

.16 years and over3,322,4553,594,7673,769,7443,919,1004,092,5784,277,2664,484,048

.18 years and over3,200,4663,464,5173,642,9713,793,1393,951,4004,128,8034,327,521

.21 years and over3,014,3123,260,4353,438,4863,597,8653,735,9643,900,3534,085,302

.62 years and over498,699559,484658,920790,225926,5401,041,7331,105,489

.85 years and over48,21659,66674,26985,64294,774107,296132,035

.Median Age34.335.035.735.936.036.035.6

CONNECTICUT

.Total3,405,5653,503,1853,577,4903,635,4143,675,6503,691,0163,688,630

.Under 5 years223,344215,290217,712228,547234,055230,618222,360

.5 to 13 years439,079426,348406,571400,509411,561422,938421,525

.14 to 17 years179,265196,242189,725177,819170,729173,365179,551

.18 to 24 years271,585307,187328,096321,374298,582282,161282,390

.25 to 44 years1,032,689969,407929,392929,224959,937966,572935,506

.45 to 64 years789,420909,268990,3731,000,858958,245892,036852,893

.65 years and over470,183479,443515,621577,083642,541723,326794,405

.Under 15 years709,075692,076671,902673,899689,129698,514690,214

.16 years and over2,651,4522,760,4242,858,3032,917,1242,943,5672,948,5252,952,898

.18 years and over2,563,8772,665,3052,763,4822,828,5392,859,3052,864,0952,865,194

.21 years and over2,439,4612,532,2632,619,8992,694,6722,734,1572,743,6112,741,139

.62 years and over545,704573,166630,570694,321776,183859,641915,815

.85 years and over64,27379,25393,698102,288105,584112,044132,440

.Median Age37.438.739.639.639.740.341.1

DELAWARE

.Total783,600836,687884,342927,400963,209990,6941,012,658

.Under 5 years51,53155,57058,17960,29160,45460,34860,762

.5 to 13 years100,13197,64499,874105,243109,067110,125109,915

.14 to 17 years42,92546,19744,15544,00445,80247,53948,083

.18 to 24 years75,32878,97980,52677,58275,38877,86279,551

.25 to 44 years236,441232,466227,984227,541230,203227,056224,739

.45 to 64 years175,518215,524248,652264,057266,174259,165251,785

.65 years and over101,726110,307124,972148,682176,121208,599237,823

.Under 15 years162,618164,931168,791176,983181,113182,526182,756

.16 years and over610,269660,054704,691739,444770,616796,213817,854

.18 years and over589,013637,276682,134717,862747,886772,682793,898

.21 years and over553,669603,625646,656685,597714,286738,513758,654

.62 years and over120,444134,016156,103183,557217,550252,215277,584

.85 years and over10,54913,26816,63619,18921,14623,56028,995

.Median Age36.037.839.440.541.542.843.6

DISTRICT OF COLUMBIA

.Total572,059551,136529,785506,323480,540455,108433,414

.Under 5 years32,53638,33241,73739,89135,97333,89533,171

.5 to 13 years59,93048,22644,56951,42251,49947,18543,804

.14 to 17 years22,52630,87827,75820,46925,67425,61323,614

.18 to 24 years72,63761,02465,61363,48848,74154,03655,113

.25 to 44 years189,439185,216170,963161,556157,943139,434133,334

.45 to 64 years125,093123,693118,109107,78399,17594,84286,140

.65 years and over69,89863,76761,03661,71461,53560,10358,238

.Under 15 years97,93994,20391,79896,53793,58986,89982,229

.16 years and over468,575448,966431,722405,152380,435362,053345,546

.18 years and over457,067433,700415,721394,541367,394348,415332,825

.21 years and over425,229410,785385,635371,894347,522324,731310,479

.62 years and over82,34276,81475,17275,28673,64871,31767,605

.85 years and over8,9759,3159,8129,5708,9218,6728,838

.Median Age34.634.233.834.233.433.733.7

FLORIDA

.Total15,982,37817,509,82719,251,69121,204,13223,406,52525,912,45828,685,769

.Under 5 years945,8231,094,5641,195,1681,292,2101,375,4451,483,9311,631,030

.5 to 13 years1,881,0771,855,7372,000,3472,251,7312,457,6842,653,7482,869,238

.14 to 17 years819,440912,330890,608910,7711,054,4821,163,4931,269,814

.18 to 24 years1,330,6021,527,4361,679,4591,680,9771,717,3581,974,4182,203,178

.25 to 44 years4,569,3474,561,2714,635,9554,932,9215,324,8345,738,7826,232,372

.45 to 64 years3,628,4924,541,1325,431,4576,001,5776,369,8656,510,2436,710,685

.65 years and over2,807,5973,017,3573,418,6974,133,9455,106,8576,387,8437,769,452

.Under 15 years3,034,5653,178,1593,411,4283,784,7244,099,5204,430,9074,817,783

.16 years and over12,741,82114,099,09215,620,78717,193,93619,042,45221,189,78823,550,336

.18 years and over12,336,03813,647,19615,165,56816,749,42018,518,91420,611,28622,915,687

.21 years and over11,736,37812,984,80514,441,69616,061,86917,765,16519,755,11521,966,593

.62 years and over3,245,8063,569,1924,163,1765,031,7376,214,8267,647,1078,979,072

.85 years and over331,287428,943537,846618,812669,222752,768943,675

.Median Age38.740.541.943.244.144.845.4

GEORGIA

.Total8,186,4538,925,7969,589,08010,230,57810,843,75311,438,62212,017,838

.Under 5 years595,150694,196730,521774,039816,822872,431922,860

.5 to 13 years1,105,0931,137,1091,237,8651,339,4061,403,2351,470,8601,555,500

.14 to 17 years468,991529,396534,000565,344617,206642,254668,264

.18 to 24 years837,732907,924975,8751,004,9001,050,5051,140,7611,171,301

.25 to 44 years2,652,7642,715,3142,748,4462,816,6192,890,2562,957,5433,091,009

.45 to 64 years1,741,4482,085,7492,381,5492,542,6942,655,8062,695,0942,701,067

.65 years and over785,275856,108980,8241,187,5761,409,9231,659,6791,907,837

.Under 15 years1,818,4931,964,5192,099,0082,263,5302,373,2112,503,8472,645,368

.16 years and over6,250,7086,826,0007,358,4547,826,8488,317,0448,774,2389,205,627

.18 years and over6,017,2196,565,0957,086,6947,551,7898,006,4908,453,0778,871,214

.21 years and over5,646,5356,181,6936,660,8397,133,3767,539,9717,968,4718,367,322

.62 years and over948,8211,062,3411,251,0361,485,7761,751,4962,031,6962,269,034

.85 years and over87,857104,808122,818138,477155,247179,757224,926

.Median Age33.434.134.735.135.435.535.6

HAWAII

.Total1,211,5371,276,5521,340,6741,385,9521,412,3731,438,7201,466,046

.Under 5 years78,16395,957101,347101,58997,97994,61392,282

.5 to 13 years151,841139,543149,500166,799167,391163,776158,818

.14 to 17 years65,76371,04065,41661,88073,76774,54874,403

.18 to 24 years114,893127,176141,419132,638124,859145,190151,023

.25 to 44 years362,336343,368335,337346,613354,708353,971367,925

.45 to 64 years277,940329,393356,590350,244329,142305,879294,638

.65 years and over160,601170,075191,065226,189264,527300,743326,957

.Under 15 years246,249252,774265,773284,940283,202276,189268,680

.16 years and over949,1841,006,0051,059,2321,086,1751,110,9701,144,3441,179,231

.18 years and over915,770970,0121,024,4111,055,6841,073,2361,105,7831,140,543

.21 years and over867,329913,860964,2381,003,5991,017,7191,043,0511,077,216

.62 years and over187,435203,947237,142277,731317,857352,668370,525

.85 years and over17,56421,67027,64532,10734,44838,32048,254

.Median Age36.237.137.437.337.538.138.7

IDAHO

.Total1,293,9531,407,0601,517,2911,630,0451,741,3331,852,6271,969,624

.Under 5 years97,643107,272115,880120,416121,257125,296134,586

.5 to 13 years184,026188,805201,877218,538232,734238,749245,174

.14 to 17 years87,36183,86982,48088,14694,429103,013106,328

.18 to 24 years138,829147,705137,502135,916142,208152,698164,732

.25 to 44 years362,401382,851416,966447,394470,151477,715479,354

.45 to 64 years277,777337,912381,170399,522411,115434,951478,417

.65 years and over145,916158,646181,416220,113269,439320,205361,033

.Under 15 years303,007317,750339,138362,416379,006390,966407,208

.16 years and over969,1661,067,7871,157,4411,245,0351,338,1041,435,3191,535,395

.18 years and over924,9231,027,1141,117,0541,202,9451,292,9131,385,5691,483,536

.21 years and over860,220967,5031,057,3351,144,6641,229,2811,317,8151,410,724

.62 years and over173,097193,358227,299275,638331,246383,029417,529

.85 years and over18,05722,20726,23929,28232,23437,33747,021

.Median Age33.234.034.835.937.538.639.2

ILLINOIS

.Total12,419,29312,699,33612,916,89413,097,21813,236,72013,340,50713,432,892

.Under 5 years876,549912,361926,650941,671938,241932,571932,187

.5 to 13 years1,656,6281,588,5041,567,1571,607,1751,630,5201,634,1451,623,262

.14 to 17 years712,274728,911703,099665,831687,009698,603703,664

.18 to 24 years1,210,8981,267,2831,269,7721,241,3811,184,8871,212,6461,228,366

.25 to 44 years3,795,5443,648,7033,572,3543,556,4703,569,5363,533,3263,492,854

.45 to 64 years2,667,3753,032,7913,276,9993,307,2033,237,7633,102,7853,040,382

.65 years and over1,500,0251,520,7831,600,8631,777,4871,988,7642,226,4312,412,177

.Under 15 years2,711,5042,686,6332,666,8692,722,6062,742,5322,743,8182,732,566

.16 years and over9,530,3279,826,72410,074,27410,209,00010,321,83410,421,07810,523,880

.18 years and over9,173,8429,469,5609,719,9889,882,5419,980,95010,075,18810,173,779

.21 years and over8,634,4558,943,9639,174,8569,373,9699,475,4649,562,7539,651,618

.62 years and over1,767,5251,827,2041,967,4682,177,5892,429,2112,666,3962,803,635

.85 years and over192,031224,996259,377280,147288,413308,860351,941

.Median Age34.735.436.036.337.037.437.8

INDIANA

.Total6,080,4856,249,6176,392,1396,517,6316,627,0086,721,3226,810,108

.Under 5 years423,215431,328436,614446,506455,215466,156478,309

.5 to 13 years798,331794,582794,801801,829816,216830,454847,986

.14 to 17 years352,850370,207364,770365,895363,557369,673375,129

.18 to 24 years614,721611,568620,396621,790617,714618,125621,950

.25 to 44 years1,791,8281,742,8781,707,9071,710,7601,726,3221,713,3891,708,965

.45 to 64 years1,346,7091,532,8441,656,3611,664,4901,628,2771,582,8351,545,896

.65 years and over752,831766,210811,290906,3611,019,7071,140,6901,231,873

.Under 15 years1,309,9041,320,2791,321,9491,341,6231,362,5141,389,5661,420,541

.16 years and over4,682,3924,834,6974,979,6745,084,2305,173,5195,238,9905,295,563

.18 years and over4,506,0894,653,5004,795,9544,903,4014,992,0205,055,0395,108,684

.21 years and over4,221,4264,391,0974,516,0634,635,2904,718,0364,784,8174,833,588

.62 years and over888,688924,3691,002,2981,115,7531,249,3581,367,6391,430,299

.85 years and over91,558106,555124,184135,013138,601147,631169,134

.Median Age35.235.936.536.837.437.537.7

IOWA

.Total2,926,3242,973,7003,009,9073,026,3803,020,4962,993,2222,955,172

.Under 5 years188,413190,316193,313191,656185,929180,767177,908

.5 to 13 years369,991359,395354,486355,105353,257343,185331,943

.14 to 17 years175,234171,077163,257160,279158,183157,796153,450

.18 to 24 years298,008290,243275,550265,542254,908249,513246,866

.25 to 44 years808,259785,659773,636765,630755,677714,516672,929

.45 to 64 years650,206741,216799,778793,603756,002728,218708,890

.65 years and over436,213435,794449,887494,565556,540619,227663,186

.Under 15 years601,563593,355588,216587,253579,337563,824548,388

.16 years and over2,281,0022,336,6702,381,1062,398,6612,401,3282,389,6742,368,259

.18 years and over2,192,6862,252,9122,298,8512,319,3402,323,1272,311,4742,291,871

.21 years and over2,051,1562,130,0002,174,2682,203,9292,209,0352,199,2322,180,787

.62 years and over505,699512,451544,765603,874672,239731,521756,900

.85 years and over65,11875,73085,20490,21891,30894,963104,977

.Median Age36.637.538.338.940.141.342.0

KANSAS

.Total2,688,4182,751,5092,805,4702,852,6902,890,5662,919,0022,940,084

.Under 5 years188,708194,443199,534201,489199,315197,384197,085

.5 to 13 years358,195344,606344,793352,833358,172356,566352,393

.14 to 17 years166,090163,337154,669153,646156,412159,597159,468

.18 to 24 years275,592283,235275,807263,146258,659263,025267,337

.25 to 44 years769,204740,575728,444738,302741,344727,166710,942

.45 to 64 years574,400667,244726,908723,526696,745670,508659,768

.65 years and over356,229358,069375,315419,748479,919544,756593,091

.Under 15 years588,300579,467582,461593,049596,778593,922589,125

.16 years and over2,058,4892,130,6012,184,5372,221,0582,254,6322,285,1192,311,153

.18 years and over1,975,4252,049,1232,106,4742,144,7222,176,6672,205,4552,231,138

.21 years and over1,847,5131,925,7551,985,1412,031,0842,061,3552,088,2502,112,036

.62 years and over413,585423,779457,937514,212584,152647,091675,873

.85 years and over51,77058,76266,50670,95173,20977,14687,969

.Median Age35.235.836.436.937.838.539.1

KENTUCKY

.Total4,041,7694,163,3604,265,1174,351,1884,424,4314,489,6624,554,998

.Under 5 years265,901278,735275,053272,387272,694280,066291,377

.5 to 13 years502,742495,019502,605507,704501,849500,422509,297

.14 to 17 years226,175231,036224,649226,888232,733228,627227,302

.18 to 24 years401,858399,030400,508396,112395,471406,720402,003

.25 to 44 years1,210,7731,174,3271,139,5791,130,2191,128,9021,119,2991,126,827

.45 to 64 years929,5271,065,6691,165,2521,180,5271,163,0411,127,8691,094,742

.65 years and over504,793519,544557,471637,351729,741826,659903,450

.Under 15 years824,640832,192832,656837,874831,915837,101857,055

.16 years and over3,161,2833,272,4523,376,5573,456,4743,534,6573,595,6483,641,303

.18 years and over3,046,9513,158,5703,262,8103,344,2093,417,1553,480,5473,527,022

.21 years and over2,867,2572,988,8023,085,5013,176,1523,242,6193,305,3763,353,972

.62 years and over601,762632,355697,999791,984900,483997,8241,056,131

.85 years and over58,26164,75273,63379,32183,26391,028106,052

.Median Age35.936.938.038.639.439.840.0

LOUISIANA

.Total4,468,9764,534,3104,612,6794,673,7214,719,1604,762,3984,802,633

.Under 5 years317,392338,732337,954328,619317,925319,847330,598

.5 to 13 years613,070571,701578,570597,339586,670569,768563,480

.14 to 17 years289,337274,663254,978250,230268,181263,621255,861

.18 to 24 years473,801484,377463,836436,098423,728450,934448,644

.25 to 44 years1,293,1281,221,5321,200,7921,205,7281,214,3641,191,2391,171,867

.45 to 64 years965,3191,104,2881,194,2091,191,9191,144,8241,098,4871,087,971

.65 years and over516,929539,017582,340663,788763,468868,502944,212

.Under 15 years1,002,084979,269978,066990,537971,219954,956957,188

.16 years and over3,394,8543,485,7603,571,9293,620,5533,681,0403,741,8033,781,791

.18 years and over3,249,1773,349,2143,441,1773,497,5333,546,3843,609,1623,652,694

.21 years and over3,029,0013,141,2093,237,9123,314,1063,355,8303,409,7643,457,261

.62 years and over615,399652,332722,504821,628937,4391,039,1861,090,957

.85 years and over58,67669,37782,65393,15299,075108,348126,215

.Median Age34.035.135.736.437.538.338.8

MAINE

.Total1,274,9231,318,5571,357,1341,388,8781,408,6651,414,4021,411,097

.Under 5 years70,72669,94572,82974,46171,59967,40765,310

.5 to 13 years156,625141,224134,660136,250140,331138,066131,191

.14 to 17 years73,88770,76161,74357,88756,50559,02058,892

.18 to 24 years103,903119,466113,51599,77389,92586,52688,436

.25 to 44 years370,597350,502348,736355,431360,459350,420320,675

.45 to 64 years315,783374,115413,373414,881395,856373,925372,576

.65 years and over183,402192,544212,278250,195293,990339,038374,017

.Under 15 years246,000229,061222,911225,738226,864221,028211,760

.16 years and over1,010,2731,071,3581,118,8591,148,5401,167,3211,178,2311,184,332

.18 years and over973,6851,036,6271,087,9021,120,2801,140,2301,149,9091,155,704

.21 years and over924,108985,9501,039,5861,079,5061,101,4301,111,7541,116,199

.62 years and over215,732231,367264,185308,899358,008402,488428,234

.85 years and over23,31627,60732,77036,91139,77843,26352,273

.Median Age38.640.742.243.444.145.346.9

MARYLAND

.Total5,296,4865,600,5635,904,9706,208,3926,497,6266,762,7327,022,251

.Under 5 years353,393382,464412,152448,063467,825475,526485,515

.5 to 13 years707,865675,862686,824738,903798,365842,967863,726

.14 to 17 years294,914325,887307,318299,708319,871346,018369,127

.18 to 24 years450,922551,816605,091585,870563,276593,629633,888

.25 to 44 years1,664,6771,601,5201,607,3561,697,4371,822,8961,896,0621,918,638

.45 to 64 years1,225,4081,420,6251,568,2421,601,2871,563,2331,503,7731,515,662

.65 years and over599,307642,389717,987837,124962,1601,104,7571,235,695

.Under 15 years1,136,8461,140,3441,173,5871,265,2401,347,5151,407,0531,442,609

.16 years and over4,085,3424,376,9604,655,2804,868,7465,069,8735,268,4565,486,963

.18 years and over3,940,3144,216,3504,498,6764,721,7184,911,5655,098,2215,303,883

.21 years and over3,736,9053,980,1254,244,2414,490,3674,674,1084,848,4275,032,896

.62 years and over714,369785,140897,3571,027,4741,176,1981,329,4971,439,449

.85 years and over66,90284,220105,097119,341129,102144,958176,713

Documents

The Use of Labor Market Information in Strategic Human Resource Management