Workforce Analysis. Employment & Training Connection. Erie Lorain. Stark Richland. Coshocton Delaware. Muskingum Clark Madison.

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1 Workforce Analysis Williams Defiance Fulton Henry Putnam Lucas Wood Hancock Ottawa Sandusky Paulding Seneca Huron Medina Erie Lorain Cuyahoga Summit Lake Geauga Portage Ashtabula Trumbull Mahoning Van Wert Wyandot Crawford Ashland Wayne Allen Stark Richland Columbiana Hardin Mercer Auglaize Marion Morrow Holmes Knox Logan Shelby Union Coshocton Delaware Darke Champaign Licking Miami Franklin Muskingum Clark Madison Carroll Jefferson Tuscarawas Harrison Guernsey Belmont Preble Montgomery Fairfield Perry Noble Greene Monroe Fayette Pickaway Morgan Butler Warren Clinton Hocking Washington Ross Athens Vinton Hamilton Highland Clermont Pike Meigs Jackson Brown Gallia Adams Scioto Lawrence Workforce Analysis WORKFORCE

2 Workforce Analysis Table of Contents Preface... ii Highlights...iii I. Understanding the Local Labor Market... 1 Figure 1: Regional Commuting Patterns... 1 Figure 2: Net Flow of Ohio Commuters... 2 II. Key Trends... 3 Figure 3: Population Trends... 3 Figure 4: Demographic Characteristics... 3 Figure 5: Employment Trends... 4 Figure 6: Employment in the One-Stop Area by Major Industry... 4 Figure 7: Unemployment Trends... 5 Figure 8: Per Capita Income... 6 Figure 9: Number of New Residential Building Permits... 7 Figure 10: Valuation of New Residential Building Permits... 7 III. Industry Analysis... 8 Figure 11: Employment by Major Sector, Figure 12: Employment by Industry Sector, Figure 13: Employment Prospects by Industry Sector Figure 14: Sectors Ranked by 2005 Average Weekly Earnings IV. Educational Infrastructure Figure 15: Educational Attainment Technical Notes References Appendix A: Workforce Investment Area Appendix B: Metropolitan and Micropolitan Areas Appendix C: Major County-to-County Commuting Patterns Appendix D: Major Employers by County... 20

3 Preface Over the last few years, the Bureau of Labor Market Information (BLMI) has prepared several sets of customized regional publications to help workforce professionals and others gain a better understanding of their local economy and how it has fared compared to other areas. In June 2002, Demographic, Labor Force and Industry Trends were published for Ohio s 12 Economic Development Regions; Market Analysis of Key Workforce Trends was published for all of Ohio s Workforce Investment Areas in This current set of Workforce Analysis publications is an update of these efforts to produce reports for all the One-Stops in WIA 7 and the eighteen other WIAs in the state. This workforce analysis report provides a summary snapshot of Employment & Training Connection, the One-Stop system for Ashland, Holmes and Wayne Counties. This presentation also examines some of the key trends compared to state and national trends. The first section begins with a review of the area s basic demographic and economic characteristics. The second section shows trends in important statistics for the area, including population, employment, unemployment rates, income and housing. Employment characteristics by industry receive a detailed examination in the third section. The fourth and final section looks briefly at the area s educational characteristics. A careful review of this information can yield important insights about the local economy. One may assess the health of the local economy by examining key economic trends and comparing them to the state or the nation. Or an examination of industry composition will yield insights into the strengths and weaknesses that local economic development policy might address. Please refer to the Technical Notes and References sections at the end of this publication for reference and documentation of the wide variety of statistical data presented. Keith Ewald, Ph.D., Chief Bureau of Labor Market Information Office of Workforce Development Ohio Department of Job and Family Services ii

4 Highlights No county in the area appears to show any clear economic or demographic dominance. Holmes County has a large Amish population which appears to impact some statistics. Holmes County has been designated as an economically transitional county by the Appalachian Regional Commission. Overall the area is a net out-commuting region due to its proximity to several large metropolitan areas. Population has increased 7.8 percent in this area in the last ten years. Demographically, the three counties differ significantly from one another in their age distributions. Employment in the region grew by 8.7 percent in the last decade. However, Ashland County lost jobs during this period. Unemployment rates have followed the same pattern as state and national rates. Nominal per capita income has grown at an annual compound rate of 3.1 percent, but lags well behind Ohio and U.S. incomes. Wayne County has accounted for most new residential building permits granted between 1995 and Valuation has been steadily increasing. The three dominant employment sectors for this area in 2005 were manufacturing, government, and retail trade. employment is much more concentrated here than statewide. Nine sectors added jobs in this region between 2000 and 2005, including local government, construction and wholesale trade. Mining and federal government had the highest average weekly earnings for this One- Stop region. Finance and insurance was the highest-paying sector to have added jobs in the last five years. Generally, this region has a lower level of postsecondary educational attainment than the rest of Ohio. iii

5 Workforce Analysis I. Understanding Local Labor Markets Labor economists define a labor market as a geographic area in which both the demand and supply for labor are met primarily within that region. 1 In other words, it is an area where there are jobs and the majority of workers needed for those jobs. An important first step in identifying local labor markets is to examine the commuting patterns of individuals who live or work in the area. These patterns are one of the primary inputs used to define metropolitan and micropolitan areas. 2 Overall, this region has a net outflow of commuters. None of these three counties are part of a metropolitan area, but Ashland and Wayne Counties, being closer to the Akron, Cleveland and Mansfield metropolitan areas, have negative commuter flows. Figure 1: Regional Commuting Patterns Ashland Holmes Wayne In Commuters Total Working in the County 21,760 17,493 52,259 In Commuters 4,982 5,340 12,520 Percent of In Commuters 22.9% 30.5% 24.0% Out Commuters Total Employed Living in the County 24,737 16,456 54,487 Out Commuters 7,959 4,303 14,748 Percent of Out Commuters 32.2% 26.1% 27.1% Net Comparison Statistics Commuting Balance: Net Flow -2,977 1,037-2,228 Percent of Total Commuters -23.0% 10.8% -8.2% Figure 2 on the next page shows a visual summary of the net flow of commuters from the 2000 decennial census. Most workers commuting into a county to work usually do so from adjacent counties. Detailed county-to-county commuting is shown in Appendix C. Holmes County has been designated an economically transitional county for FY 2006 by the Appalachian Regional Commission, meaning it has at least one economic indicator below the national average. 3 Holmes County is also distinguished by its large Amish community. 1 Goldstein 2005, p Metropolitan and Micropolitan Statistical Area definitions are excerpted from the Office of Management and Budget s Federal Register Notice (65 FR ). See Appendix B for detailed definitions. 3 Appalachian Regional Commission, August 2006.

6 Understanding Local Labor Markets, continued Figure 2: Net Flow of Ohio Commuters *Net flow equals in commuters minus out commuters. A negative number means more people are commuting to work outside the county than are in commuting. For more detailed information, please visit on the web. Source: Bureau of Labor Market Information 2

7 II. Key Trends Population: Over the last decade, population in this area has increased 7.8 percent, surpassing the 2.3 percent statewide growth during this time. Wayne County has the area s largest population with nearly 114,000 residents in All three counties saw rates of growth higher than the statewide rate for this period. Figure 3: Population Trends 250,000 Ashland Holmes Wayne 200, , ,000 50, , , , , , , , , , , ,387 Ashland 50,581 51,047 51,508 52,013 52,431 52,570 52,837 53,168 53,671 53,897 54,123 Holmes 36,326 37,005 37,576 38,173 38,594 39,059 39,800 40,364 40,707 41,209 41,567 Wayne 107, , , , , , , , , , ,697 Demographic Traits: Data from the 2000 Census, shown in Figure 4 below, reveal some interesting differences between the counties. Holmes County is significantly younger than the other two counties in the region and the state. It has a high proportion less than 18 years of age (35.1%) and a low median age of 28.0, compared to 36.2 for Ohio. Wayne County has the highest proportion of working age adults (60.2%). Figure 4: Demographic Characteristics Age Demographics Employment & Training Connection Ashland Holmes Wayne Number Percent Number Percent Number Percent Number Percent Total Population 201, % 51, % 38, % 111, % Under 5 years 15, % 3, % 3, % 7, % 5 to 17 years 42, % 10, % 9, % 22, % 18 to 24 years 18, % 5, % 3, % 10, % 25 to 44 years 56, % 14, % 9, % 32, % 45 to 64 years 43, % 11, % 7, % 24, % 65 years or older 24, % 7, % 4, % 13, % Median Age

8 Key Trends, continued Employment: The area has seen employment growth in the last decade, though this growth appears to have stalled somewhat since the 2001 recession. The region has added about 6,700 jobs during this period, increasing by 8.7 percent. Holmes County saw the most growth with 3,700 new jobs (27.1%). Ashland County was the only county in the area to lose employment. Figure 5: Employment Trends 90,000 Ashland Holmes Wayne 80,000 70,000 60,000 50,000 40,000 30,000 20,000 10, ,381 77,953 79,177 80,566 82,490 83,747 83,535 82,946 83,153 83,701 84,078 Ashland 18,659 18,328 18,589 18,978 19,440 19,616 19,215 18,730 18,410 18,506 18,259 Holmes 13,764 14,071 14,327 14,674 15,365 15,846 16,054 16,026 16,321 16,932 17,491 Wayne 44,958 45,554 46,261 46,914 47,685 48,285 48,266 48,190 48,422 48,263 48,328 Since 2000, the area has added only about 300 jobs. The most job growth occurred in education and health services, accounting for 1,700 new employees. The greatest losses were in manufacturing, losing nearly 4,400 workers. Figure 6: Employment in the One-Stop Area by Major Industry Major Sector Net Growth Percent Growth Total All Sectors 83,747 84, % Natural Resources and Mining 1,166 1, % Construction 4,004 5,156 1, % 28,560 24,207-4, % Trade, Transportation and Utilities 13,625 14, % Information 1, % Financial Activities 2,370 2, % Professional and Business Services 4,632 5, % Education and Health Services 8,164 9,883 1, % Leisure and Hospitality 6,372 6, % Other Services, except Public Administration 2,400 2, % Government, including Public Schools 11,351 11, % 4

9 Key Trends, continued Unemployment: Rates in this region generally followed similar patterns as those of Ohio and the United States between 1995 and 2005, falling through 2000 and rising again with the onset of the 2001 recession. The One-Stop s unemployment rate for 2005 was 5.1 percent, the same as the national rate, but well below the state s 5.9 percent. Throughout this period, Holmes County had the lowest unemployment rates, while Ashland County had the highest. Figure 7: Unemployment Trends 8.0% U.S. Ohio Ashland Holmes Wayne 7.0% 6.0% 5.0% 4.0% 3.0% 2.0% 1.0% 0.0% U.S. 5.6% 5.4% 4.9% 4.5% 4.2% 4.0% 4.7% 5.8% 6.0% 5.5% 5.1% Ohio 4.9% 5.0% 4.6% 4.3% 4.3% 4.0% 4.4% 5.7% 6.2% 6.2% 5.9% 3.8% 4.7% 4.3% 3.5% 3.6% 3.4% 3.9% 5.1% 5.4% 5.5% 5.1% Ashland 4.7% 5.9% 5.1% 4.2% 4.2% 3.9% 4.5% 6.2% 6.7% 6.8% 6.2% Holmes 3.2% 3.8% 3.4% 3.1% 3.0% 2.9% 3.0% 3.8% 4.1% 4.2% 4.1% Wayne 3.6% 4.4% 4.3% 3.4% 3.6% 3.3% 3.9% 4.9% 5.1% 5.3% 5.0% 5

10 Key Trends, continued Income: Per capita income has been rising steadily over the past ten years, though it still lags well behind U.S. and Ohio incomes. Area-wide, income has grown at an annual compound rate of 3.1 percent, compared to 3.7 percent for the state and 4.1 percent for the country. Holmes County has shown the fastest income growth (4.0%), though it still has the lowest per capita income in the region, due in part to the much larger share of young people cited in the demographic analysis. Despite its low per capita income, Holmes County has a very low poverty rate: only about 10 percent. 4 Wayne County has the highest per capita income, but the lowest growth rate (2.8%) during this period. Figure 8: Per Capita Income $35,000 U.S. Ohio Ashland Holmes Wayne $30,000 $25,000 $20,000 $15,000 $10,000 $5,000 $ U.S. $23,076 $24,175 $25,334 $26,883 $27,939 $29,845 $30,574 $30,810 $31,484 $33,050 Ohio $22,495 $23,322 $24,656 $26,017 $26,859 $28,207 $28,601 $29,212 $29,954 $31,161 $18,740 $19,301 $20,288 $21,305 $21,609 $22,415 $22,971 $23,137 $23,658 $24,679 Ashland $18,391 $18,845 $20,182 $21,124 $21,359 $22,358 $22,631 $23,116 $23,634 $24,636 Holmes $14,529 $15,495 $15,831 $16,726 $17,139 $18,094 $19,113 $18,938 $19,595 $20,629 Wayne $20,331 $20,812 $21,867 $22,976 $23,280 $23,954 $24,500 $24,650 $25,132 $26,176 4 Ohio Department of Development. Ohio County Profiles. 6

11 Key Trends, continued Housing Permits: New permits for residential construction are shown in Figure 9 below. The total number of permits issued in the region increased the last few years due to an increase in the number of permits in Ashland County nearly 360 permits in Valuation, shown in Figure 10, has been gradually increasing in the last ten years as well. The decline in average valuation in 2005 reflects the fact that more multi-unit permits typically valued lower than single unit permits were issued that year. Figure 9: Number of New Residential Building Permits 1,200 Ashland Holmes Wayne 1, , Ashland Holmes Wayne Figure 10: Valuation of New Residential Building Permits $200,000 Ashland Holmes Wayne $180,000 $160,000 $140,000 $120,000 $100,000 $80,000 $60,000 $40,000 $20,000 $ $81,180 $84,285 $92,364 $97,322 $154,038 $108,918 $104,487 $116,735 $128,063 $135,307 $124,186 Ashland $85,838 $84,243 $90,287 $96,728 $109,937 $105,832 $107,678 $117,543 $115,986 $135,173 $82,594 Holmes $26,351 $37,944 $38,683 $80,943 $55,280 $50,758 $79,725 $70,621 $120,732 $120,142 $109,922 Wayne $82,675 $86,518 $96,305 $97,828 $176,442 $112,290 $104,263 $118,701 $133,406 $139,493 $160,486 7

12 III. Industry Analysis Employment by Sector: Figure 11 below shows the distribution of industry employment in These statistics do not include most farmers, other self-employed workers, and others not covered by unemployment insurance. This pie chart shows a very diverse mix of employment in this One-Stop. The three largest sectors, together accounting for six out of every ten area workers, are manufacturing; trade, transportation and utilities, which includes retail and trucking; and government, including public schools. Other categories shown on this chart are education and health services, which includes hospitals, clinics and private schools (11.8%); leisure and hospitality, including restaurants, hotels and certain recreational facilities (7.7%); professional and business services such as law and accounting firms, corporate offices and administrative support (6.4%); construction (6.1%); financial activities like banking, insurance and real estate (2.9%); other defined service industries such as laundries, repair services and certain non-profit organizations (2.7%); natural resources and mining (1.5%); and finally the information industry, which includes publishing and telecommunications (0.9%). Figure 11: Employment by Major Sector, 2005 Government 13.9% Natural Resources and Mining 1.5% Construction 6.1% Other Services 2.7% Leisure and Hospitality 7.7% 28.8% Education and Health Services 11.8% Professional and Business Services 6.4% Financial Activities 2.9% Information 0.9% Trade, Transportation and Utilities 17.2% Figure 12 on the next page shows more detailed information about sector employment in the One-Stop and how it compares with the state. In addition to the area s industry mix relative to the state, the proportion of total state employment for each sector helps identify the importance of a sector s employment in Ohio. Four sectors stand out as being particularly concentrated in this region: manufacturing, which employs 28.8 percent here and only 15.3 percent in Ohio; 8

13 Industry Analysis, continued local government at 11.4 percent versus 10.3 percent; construction, employing 6.1 percent here and 4.4 percent statewide; and mining, which employs 0.8 percent of workers here compared to 0.2 percent in Ohio. There are also a few sectors, notably financial activities and professional and business services, that appear less concentrated here than statewide. Figure 12: Employment by Industry Sector, 2005 Industry Sector Employment Percent State State Percent of Distrib. Employment Distrib. State Total Total All Sectors 84, % 5,308, % 1.6% Natural Resources and Mining 1, % 24, % 5.0% Agriculture, Forestry, Fishing and Hunting % 14, % 4.8% Mining % 10, % 5.4% Construction 5, % 232, % 2.2% 24, % 811, % 3.0% Trade, Transportation and Utilities 14, % 1,035, % 1.4% Wholesale Trade 2, % 235, % 1.2% Retail Trade 9, % 613, % 1.5% Transportation and Warehousing NA NA 166, % NA Utilities NA NA 20, % NA Information % 89, % 0.9% Financial Activities 2, % 299, % 0.8% Finance and Insurance 1, % 229, % 0.8% Real Estate and Rental and Leasing % 69, % 0.8% Professional and Business Services 5, % 643, % 0.8% Professional, Scientific and Technical Services 1, % 231, % 0.9% Management of Companies and Enterprises NA NA 98, % NA Administrative and Waste Services NA NA 313, % NA Education and Health Services 9, % 750, % 1.3% Education Services NA NA 85, % NA Health Care and Social Assistance NA NA 664, % NA Leisure and Hospitality 6, % 499, % 1.3% Arts, Entertainment and Recreation % 67, % 0.8% Accommodation and Food Services 5, % 431, % 1.4% Other Services, except Public Administration 2, % 165, % 1.4% Government, including Public Schools 11, % 753, % 1.6% Federal Government % 76, % 0.5% State Government 1, % 132, % 1.3% Local Government 9, % 544, % 1.8% NA-Data not available due to confidentiality restrictions. 9

14 Industry Analysis, continued Employment Prospects: The table below looks at industry classifications and is color coded to more quickly identify those sectors most important to the region. The left column ranks sectors by their employment levels in The top nine sectors in this column are printed in blue. The right column ranks sectors by the net number of new jobs created since The growth sectors in the second column are printed in red. Sectors that appear at the top of both lists are printed in purple. Sectors for which a growth rate could not be established due to confidentiality requirements are printed in italics. Sectors with high employment levels are often a major source of job openings because seven of ten openings are expected to be replacement needs. 5 is the largest sector in the area, employing 24,200 workers, but it also lost the greatest number of jobs in the last five years, about 4,400. The second largest employment sector, education and health services, was also the one to have added the most jobs during this period. This is not surprising given the strong nationwide demand for healthcare as the baby boom generation ages and new medical technologies emerge. Other large sectors to have created jobs were local government, retail trade, accommodation and food services, construction and wholesale trade. The remaining two large sectors were other services and professional, scientific and technical services. The three remaining sectors to have added jobs from were finance and insurance; arts, entertainment and recreation; and real estate and rental and leasing. Growth rates could not be published for three sectors: agriculture, forestry, fishing and hunting; mining; and professional, scientific and technical services. Figure 13: Employment Prospects by Industry Sector 2005 Employment New Jobs: Education and Health Services Education and Health Services Construction Local Government Local Government Retail Trade Wholesale Trade Accommodation and Food Services Retail Trade Construction Finance and Insurance Wholesale Trade Accommodation and Food Services Other Services, except Public Administration Arts, Entertainment and Recreation Professional, Scientific and Technical Services Real Estate and Rental and Leasing Finance and Insurance Federal Government State Government Other Services, except Public Administration Information State Government Agriculture, Forestry, Fishing and Hunting Information Mining Arts, Entertainment and Recreation Agriculture, Forestry, Fishing and Hunting Real Estate and Rental and Leasing Mining Federal Government Professional, Scientific and Technical Services 5 Ohio Job Outlook to 2012, p

15 Industry Analysis, continued Average Weekly Earnings: Figure 14 below ranks the sectors in this One-Stop by their average weekly earnings total wage or salary regardless of hours worked and shows how much the sectors have grown or declined by Statewide average weekly earnings for all employers were $718 in 2005, compared to $588 for this region. This table also uses the same color-coding system as Figure 13 on the previous page, with sectors printed in purple being large sectors with growth. Mining and federal government were the two highest-paying sectors in this area, with the average worker earning $843 and $801 per week, respectively. Finance and insurance, at $748 per week, was the highest paying sector to have added jobs in the last five years. ; professional, scientific and technical services; and state government all had higher average weekly earnings than the statewide average at $743, $730 and $719, respectively Bear in mind that industry size and growth do not always coincide with earnings potential. All of the area s large growth sectors (that is, sectors printed in purple) had average weekly earnings lower than the state average. Many of the low-paying sectors tend to be those that hire large numbers of part-time workers, or pay partially in tips, which are not included in these reports. Figure 14: Sector Ranked by 2005 Average Weekly Earnings Industry Sector 2000 Employment 2005 Employment Net Change Percent Change Average Weekly Earnings Mining NA 583 NA NA $843 Federal Government % $801 Finance and Insurance 1,863 1, % $748 28,560 24,207-4, % $743 Professional, Scientific and Technical Services NA 1,983 NA NA $730 State Government 1,889 1, % $719 Wholesale Trade 2,496 2, % $717 Construction 4,004 5,156 1, % $665 Local Government 8,956 9, % $610 Information 1, % $587 Education and Health Services 8,164 9,883 1, % $550 Agriculture, Forestry, Fishing and Hunting NA 673 NA NA $455 Real Estate and Rental and Leasing % $444 Retail Trade 9,106 9, % $379 Other Services, except Public Administration 2,400 2, % $352 Arts, Entertainment and Recreation % $226 Accommodation and Food Services 5,851 5, % $190 NA-Data not available due to confidentiality restrictions. 11

16 IV. Educational Infrastructure Figure 15 below shows educational attainment for persons 25 and older in the area, according to data from the 2000 decennial census. Overall, the area has a lower level of educational attainment than the state, especially in terms of postsecondary education. The high proportion of adults in Holmes County without a high school diploma is likely due to this county s large Amish population. Among those who do participate in formal secondary education programs, the county has a 96 percent high school graduation rate. 6 Ashland and Wayne Counties both have similar levels of adults with postsecondary degrees. Figure 15: Educational Attainment 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% Ohio Employment & Training Connection Ashland Holmes Wayne Master's Degree or Higher 547,276 6,193 1, ,909 Bachelor's Degree 1,016,258 12,858 3,526 1,228 8,104 Associate Degree 436,608 5,543 1, ,371 Some College 1,471,964 18,196 5,079 1,893 11,224 High School Graduate 2,674,551 51,821 15,673 6,762 29,386 No High School Diploma 1,262,085 29,697 5,553 10,185 13,959 There are six postsecondary schools in the One-Stop area: Ashland County-West Holmes Career Center in Ashland, Ashland University, the College of Wooster, Ohio State University Agricultural Technical Institute in Wooster, the University of Akron Wayne College in Orrville, and the Wayne County Schools Career Center in Smithville. In addition, the area is host to 40 apprentices in 12 programs, covering such fields like electricians, pipe fitting, power line installation and construction. 6 Ohio Department of Development. Ohio County Profiles. 12

17 Technical Notes Commuting data are from the 2000 Census of Population and Housing, County-to-County Worker Flow Files. Data is available at Population and demographic estimates were obtained from the U.S. Census Bureau. The figures are available online at Employment data were obtained from the Quarterly Census of Employment and Wages (QCEW), Bureau of Labor Market Information, Ohio Department of Job and Family Services. The data are based on reports filed by employers subject to the Ohio Unemployment Compensation Law, as well as those covered under Unemployment Compensation for Federal Employees, by place of work. See the NAICS-based Economic Development Profiles at or the data query menu for Employment and Wages by Industry at Data for 2005, including average weekly earnings, are preliminary and are subject to change. Because data for some industry sectors in some counties have not been released due to confidentiality restrictions, we were not able to report data for these sectors in the region. These statistics may also undercount businesses not covered by unemployment compensation and certain family establishments. Total employment may include employment and wage data for non-classifiable establishments. Unemployment statistics are produced by the Local Area Unemployment Statistics (LAUS) section, Bureau of Labor Market Information, Ohio Department of Job and Family Services. Data for One-Stop areas are available for query at or for other geographies at Per capita income figures are from the Bureau of Economic Analysis and are downloadable from Information on residential construction permits and their valuation are from the U.S. Census Bureau, Construction Reports: Housing Authorized by Building Permits and Public Contracts. Data are available online at Data on education were obtained from the Ohio Department of Development, Office of Strategic Research, based on information from the 2000 decennial census. Detailed information on each of Ohio s counties is available at The Bureau of Labor Market Information also collects data on programs for the Integrated Postsecondary Educational Data System (IPEDS). These data are posted on the internet by the National Center for Education Statistics at The list of major employers in each county is available in the Ohio County Profiles produced by the Ohio Department of Development s Office of Strategic Research at For more information on Ohio workforce statistics, visit the Ohio Workforce Informer online at or the Ohio Labor Market Information Classic website at 13

18 References Goldstein, Harvey, University of North Carolina. Projecting State and Area Industry Employment. Prepared through a grant from the Employment and Training Administration, U.S. Department of Labor. Projections Workgroup, August Ohio Department of Development. Office of Strategic Research. Commuting Patterns by County. March Internet August Ohio Department of Development. Office of Strategic Research. Ohio County Profiles. October Internet August Ohio Department of Job and Family Services. Bureau of Labor Market Information. Demographic, Labor Force and Industry Trends. June Ohio Department of Job and Family Services. Bureau of Labor Market Information. Market Analysis of Key Workforce Trends United States. Bureau of Economic Analysis. Local Area Personal Income. Internet August United States. Bureau of Labor Statistics. Quarterly Census of Employment and Wages. June United States. Census Bureau. Building Permits. Internet August United States. Census Bureau. Population Estimates. Internet August United States. Census Bureau. Current Lists of Metropolitan and Micropolitan Statistical Areas and Definitions. 23 August Internet August

19 Appendix A Workforce Investment Area 7 15

20 Appendix B Metropolitan and Micropolitan Areas 16

21 Appendix B, continued Metropolitan Statistical Areas (MSAs) have at least one urbanized area with a population of 50,000 or more, plus adjacent territory that has a high degree of social and economic integration with the core as measured by commuting ties. Micropolitan Statistical Areas have at least one urban cluster with a population of at least 10,000 but less than 50,000, plus adjacent territory that has a high degree of social and economic integration with the core, measured by commuting ties. For further information on the Office of Management and Budget s 2000 Standards for Defining Metropolitan and Micropolitan Statistical Areas, please visit Metropolitan Statistical Areas in Ohio and Adjacent States A. Akron MSA: Portage and Summit Counties. B. Canton-Massillon MSA: Carroll and Stark Counties. C. Cincinnati-Middletown MSA*: Brown, Butler, Clermont, Hamilton and Warren Counties in Ohio; Dearborn, Franklin and Ohio Counties in Indiana; and Boone, Bracken, Campbell, Gallatin, Grant, Kenton and Pendleton Counties in Kentucky. D. Cleveland-Elyria-Mentor MSA: Cuyahoga, Geauga, Lake, Lorain and Medina Counties. E. Columbus MSA: Delaware, Fairfield, Franklin, Licking, Madison, Morrow, Pickaway and Union Counties. F. Dayton MSA: Greene, Miami, Montgomery and Preble Counties. G. Huntington-Ashland MSA*: Cabell and Wayne Counties in West Virginia; Boyd and Greenup Counties in Kentucky; and Lawrence County in Ohio. H. Lima MSA: Allen County. I. Mansfield MSA: Richland County. J. Parkersburg-Marietta-Vienna MSA*: Pleasants, Wirt and Wood Counties in West Virginia and Washington County in Ohio. K. Sandusky MSA: Erie County. L. Springfield MSA: Clark County. M. Toledo MSA: Fulton, Lucas, Ottawa and Wood Counties. N. Weirton-Steubenville MSA*: Jefferson County in Ohio and Brooke and Hancock Counties in West Virginia. O. Wheeling MSA*: Marshall and Ohio Counties in West Virginia and Belmont County in Ohio. P. Youngstown-Warren-Boardman MSA*: Mahoning and Trumbull Counties in Ohio and Mercer County in Pennsylvania. *Statistical areas in other states that include Ohio counties. 17

22 Appendix B, continued 1. Ashland 2. Ashtabula 3. Athens 4. Bellefontaine: Logan County 5. Bucyrus: Crawford County 6. Cambridge: Guernsey County 7. Celina: Mercer County 8. Chillicothe: Ross County 9. Coshocton 10. Defiance 11. East Liverpool-Salem: Columbiana County 12. Findlay: Hancock County 13. Fremont: Sandusky County 14. Greenville: Darke County 15. Marion 16. Mount Vernon: Knox County 17. New Philadelphia-Dover: Tuscarawas County 18. Norwalk: Huron County Micropolitan Statistical Areas in Ohio 19. Point Pleasant*: Mason County in West Virginia and Gallia County in Ohio 20. Portsmouth: Scioto County 21. Sidney: Shelby County 22. Tiffin-Fostoria: Seneca County 23. Urbana: Champaign County 24. Van Wert 25. Wapakoneta: Auglaize County 26. Washington Court House: Fayette County 27. Wilmington: Clinton County 28. Wooster: Wayne County 29. Zanesville: Muskingum County The micropolitan area name is the same as the county name unless otherwise noted. *Statistical areas in other states that include Ohio counties. 18

23 Appendix C Major County-to-County Commuting Patterns Ashland Percent of workers that work outside the county: 32.2% Average commute time in minutes: 20.3 Number of workers 16+ years of age Number of workers 16+ years of age living in Ashland County: 24,737 working in Ashland County: 21,760 Commute Out To Number Percent Commute In From Number Percent Richland Co. OH 2, % Richland Co. OH 2, % Wayne Co. OH 1, % Wayne Co. OH % Medina Co. OH % Holmes Co. OH % Lorain Co. OH % Medina Co. OH % Cuyahoga Co. OH % Knox Co. OH % Holmes Co. OH % Huron Co. OH % Huron Co. OH % Crawford Co. OH % Holmes Percent of workers that work outside the county: 26.1% Average commute time in minutes: 21.6 Number of workers 16+ years of age Number of workers 16+ years of age living in Holmes County: 16,456 working in Holmes County: 17,493 Commute Out To Number Percent Commute In From Number Percent Wayne Co. OH 2, % Tuscarawas Co. OH 1, % Tuscarawas Co.OH % Wayne Co. OH 1, % Ashland Co. OH % Coshocton Co. OH % Stark Co. OH % Stark Co. OH % Summit Co. OH % Ashland Co. OH % Wayne Percent of workers that work outside the county: 27.1% Average commute time in minutes: 19.4 Number of workers 16+ years of age Number of workers 16+ years of age living in Wayne County: 54,487 working in Wayne County: 52,259 Commute Out To Number Percent Commute In From Number Percent Medina Co.OH 4, % Stark Co. OH 3, % Summit Co. OH 3, % Holmes Co. OH 2, % Stark Co. OH 1, % Medina Co. OH 1, % Holmes Co. OH 1, % Ashland Co. OH 1, % Cuyahoga Co. OH 1, % Summit Co. OH 1, % Ashland Co. OH % Tuscarawas Co.OH % Source: Ohio Department of Development, Office of Strategic Research, 2000 Census Data. 19

24 Appendix D Major Employers by County Ashland Abbott Laboratories, Inc./Hospira Ashland City Board of Education Ashland University Mansfield Plumbing Products, LLC McGraw-Hill Companies Samaritan Regional Health System State of Ohio Step2 Co. Will Research Laboratories Holmes Alco Industries/Sperry & Rice Co. Case Foods, Inc. Collins & Aikman Corp. East Holmes Local Board of Education Owens-Illinois, Inc. Pomerene Hospital Wayne-Dalton Corp. Weaver Leather Goods, Inc. West Holmes Local Board of Education Wayne College of Wooster Frito-Lay, Inc. JM Smucker Co. LuK, Inc. State of Ohio Will-Burt Co. Wooster Brush Co. Wooster City Board of Education Wooster Community Hospital Worthington Industries/Gerstenslager Co. Government Education Health Care Government Research Government Health Care Government Education Government Government Health Care Source: Ohio Department of Development. Ohio County Profiles. Employers are listed in alphabetical order. 20

25 Offi ce of Workforce Development P.O. Box 1618 Columbus, OH Bureau of Labor Market Information Business Principles for Workforce Development Partner with the workforce and economic development community. Develop and deploy new information solution tools and systems for the workforce and economic development community. Provide products and services that are customer and demand driven. Be known as an important and reliable source for information solutions that support workforce development goals and outcomes. Acknowledgements: The Workforce Research Section, under the direction of Labor Economist Larry Less, was responsible for the composition of this report. Labor Market Analyst Jonathan Calig was primarily responsible for production. Thanks are extended to the many other analysts who developed and reviewed the data presented in this report. This publication was prepared under the supervision of Labor Market Information Bureau Chief Keith Ewald and Assistant Bureau Chief Rudy Wilkinson. This report was prepared by the Ohio Department of Job and Family Services, Offi ce of Workforce Development. For further information, visit our website at or contact the Ohio Bureau of Labor Market Information at WORK-411 or Ted Strickland, Governor State of Ohio Helen E. Jones-Kelley, Director Ohio Department of Job and Family Services Offi ce of Workforce Development Bureau of Labor Market Information ODJFS is an Equal Opportunity Employer and Service Provider (1/2007)